Patent Publication Number: US-2023163593-A1

Title: Optimized operation plan for a power system

Description:
TECHNICAL FIELD 
     The present disclosure relates generally to generating an operation plan for a power system and, for example, to generating an optimized operation plan for a power system. 
     BACKGROUND 
     A power system generates power (e.g., mechanical power and/or electrical power) for a work site. A power system often includes multiple power sources of a same or a different type (e.g., one or more internal combustion engines, one or more generation sets, one or more energy storage systems, and/or one or more hydraulic fracturing rigs). However, a power system is often manually configured, which causes the power system to operate in a nonoptimal manner, such as in a manner that consumes nonoptimal amounts of fuel or that produces nonoptimal amounts of emissions. 
     U.S. Pat. No. 9,564,757 (the &#39;757 patent) discloses methods for optimizing hybrid power systems. Per the &#39;757 patent, an apparatus optimizes a hybrid power system with respect to long-term characteristics of the hybrid power system. The apparatus comprises: a real-time controller of the hybrid power system; and a processor cooperating with the real-time controller, the processor being structured to input current measurements of information from the hybrid power system and hybrid dynamics information including continuous dynamics and discrete time dynamics that model the hybrid power system, provide online optimization of the hybrid power system based upon the input, and output a power flow reference and a number of switch controls to the real-time controller based upon the online optimization. 
     While the &#39;757 patent discloses using a processor and a real-time controller to optimize a hybrid power system, the present disclosure is associated with an analysis system generating an optimized operation plan for any type of power system. Further the present disclosure allows for an operator of the power system to interact with an interactive user interface provided by the analysis system to facilitate generation of the optimized operation plan. The analysis system of the present disclosure solves one or more of the problems set forth above and/or other problems in the art. 
     SUMMARY 
     Some implementations described herein relate to a system. The system may include one or more memories and one or more processors coupled to the one or more memories. The system may be configured to determine configuration information associated with a power system for a work site that includes one or more power sources. The system may be configured to determine respective operation parameters of the one or more power sources. The system may be configured to determine one or more performance criteria associated with the power system. The system may be configured to identify an optimization analysis technique for generating an optimized operation plan for the power system. The system may be configured to process, using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system. The system may be configured to cause, based on the optimized operation plan for the power system, one or more actions to be performed. 
     Some implementations described herein relate to a method. The method may include determining, by a system, configuration information associated with a power system for a work site that includes one or more power sources. The method may include determining, by the system, respective operation parameters of the one or more power sources. The method may include determining, by the system, one or more performance criteria associated with the power system. The method may include determining, by the system, a baseline operation plan for the power system. The method may include identifying, by the system, an optimization analysis technique for generating an optimized operation plan for the power system. The method may include processing, by the system and using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system. The method may include causing, by the system and based on the baseline operation plan for the power system and the optimized operation plan for the power system, one or more actions to be performed. 
     Some implementations described herein relate to a non-transitory computer-readable medium that stores a set of instructions for a device. The set of instructions, when executed by one or more processors of the device, may cause the device to determine configuration information associated with a power system for a work site that includes one or more power sources. The set of instructions, when executed by one or more processors of the device, may cause the device to determine respective operation parameters of the one or more power sources. The set of instructions, when executed by one or more processors of the device, may cause the device to determine one or more performance criteria associated with the power system. The set of instructions, when executed by one or more processors of the device, may cause the device to identify an optimization analysis technique for generating an optimized operation plan for the power system. The set of instructions, when executed by one or more processors of the device, may cause the device to process, using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system. The set of instructions, when executed by one or more processors of the device, may cause the device to cause, based on the optimized operation plan for the power system, one or more actions to be performed. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG.  1    is a diagram of an example implementation associated with a power system described herein. 
         FIGS.  2 A- 2 G  are diagrams of an example implementation associated with generating an optimized operation plan for a power system described herein. 
         FIG.  3    is a diagram of an example environment in which systems and/or methods described herein may be implemented. 
         FIG.  4    is a flowchart of an example process relating to generating an optimized operation plan for a power system described herein. 
     
    
    
     DETAILED DESCRIPTION 
       FIG.  1    is a diagram of an example implementation  100  associated with a power system. As shown in  FIG.  1   , example implementation  100  includes an analysis system  102  and a client device  104 , which are described in more detail below in connection with  FIG.  3   . As further shown in  FIG.  1   , example implementation  100  includes a work site  106  and a power system  108  that includes one or more power sources  110  (shown as power sources  110 - 1  through n, where N≥1). 
     The power system  108  may be configured to utilize the one or more power sources  110  to generate power (e.g., mechanical power and/or electrical power) for the work site  106 . A power source  110  may include, for example, a generation set (a “genset”), an internal combustion engine (e.g., a diesel engine, a gas engine, or a dynamic gas blending (DGB) engine), an energy storage system (e.g., a battery), or a hydraulic fracturing rig. The work site  106  may be a physical location at which the power system  108  is located. For example, the work site  106  may be a construction site, a commercial building site, a marine vessel site, or a hydraulic fracturing site. 
     As further shown in  FIG.  1   , the analysis system  102  and the client device  104  may be connected to each other, the power system  108 , and/or at least one power source  110  of the one or more power sources  110 . For example, the analysis system  102 , the client device  104 , the power system  108 , and/or the at least one power source  110  may be connected to each other via a network (e.g., the network  310  described herein in relation to  FIG.  3   ). 
     As indicated above,  FIG.  1    is provided as an example. Other examples may differ from what is described with regard to  FIG.  1   . 
       FIGS.  2 A- 2 G  are diagrams of an example implementation  200  associated with generating an optimized operation plan for a power system, which is applicable to any power system. 
     As shown in  FIG.  2 A , and by reference number  202 , the analysis system  102  may determine configuration information associated with the power system  108 . The configuration information associated with the power system  108  may include one or more configuration elements, such as an identifier associated with the work site  106  (e.g., a name of the work site  106  or a unique identifier (UID) associated with the work site  106 ), a type of the work site  106  (e.g., a construction site, a commercial building site, a marine vessel site, or a hydraulic fracturing site), an identifier of the power system (e.g., a name of the power system  108  or a UID associated with the power system  108 ), a type of the power system  108  (e.g., an engine type power system, an energy storage type power system, a generator type power system, a hybrid type power system, or a hydraulic fracturing type power system), a number of the one or more power sources  110  included in the power system  108 , an identifier of each of the one or more power sources  110  included in the power system  108  (e.g., a name of each power source  110  or a UID associated with each power source  110 ), a type of each of the one or more power sources  110  included in the power system  108  (e.g., an indication of whether each of the one or more power sources  110  is a genset, an internal combustion engine, an energy storage system, or a hydraulic fracturing rig), a priority of each of the one or more power sources  110  included in the power system  108  (e.g., an indication of importance of utilization of each of the one or more power sources  110 ), and/or a group associated with each of the one or more power sources  110  included in the power system  108  (e.g., an indication of which power sources  110  of the one or more power sources  110  are to be utilized together). 
     As further shown in  FIG.  2 A , the analysis system  102  may provide an interactive user interface for display. For example, the analysis system  102  may provide the interactive user interface to the client device  104  to cause the interactive user interface to be displayed on a display of the client device  104 . The interactive user interface may include an input functionality that allows a user (e.g., of the client device  104 ) to input information. For example, as further shown in  FIG.  2 A , the interactive user interface may include a “configuration page” that allows a user to enter one or more configuration elements associated with the power system  108  (shown as configuration information elements 1 through W, where W≥1). In this way, the analysis system  102  may receive input information and may determine the configuration information associated with the power system  108  based on the input information (e.g., by reading or parsing the input information). Additionally, or alternatively, the analysis system  102  may communicate with a data structure associated with the power system  108  (e.g., a database, a table, or an electronic file that is included in the power system  108  and/or accessible to the power system  108 ) to obtain operation information associated with the power system  108  (e.g., that includes one or more configuration elements associated with the power system  108 ). The analysis system  102  may determine the configuration information associated with the power system  108  based on the operation information (e.g., by reading or parsing the operation information). 
     As shown in  FIG.  2 B , and by reference number  204 , the analysis system  102  may determine respective operation parameters of the one or more power sources  110 . The respective operation parameters of the one or more power sources  110  may indicate, for each power source  110 , of the one or more power sources  110 , one or more operation parameters, such as an identifier associated with the power source  110  (e.g., a name of the power source  110  or a UID associated with the power source  110 ), a type of the power source  110  (e.g., an indication that the power source  110  is a genset, an internal combustion engine, an energy storage system, or a hydraulic fracturing rig), a vendor of the power source  110  (e.g., a “make” of the power source  110 ), a model of the power source  110 , one or more capabilities of the power source  110  (e.g., an engine speed range, a transmission gear range, a pump flow rate range, a power output range, a fuel consumption rate range, a battery charge rate range, a battery discharge rate range, and/or a battery capacity range, among other examples), one or more settings of the power source (e.g., a baseline engine speed, a baseline transmission gear, a baseline pump flow rate, a baseline power output, a baseline fuel consumption rate, a baseline battery charge rate, a baseline battery discharge rate, and/or a baseline battery capacity, among other examples), and/or an activation status of the power source  110  (e.g., an indication of whether the power source  110  is turned on and/or is active). 
     As further shown in  FIG.  2 B , the analysis system  102  may provide the interactive user interface for display (e.g., as described elsewhere herein). The interactive user interface may include an input functionality that allows a user (e.g., of the client device  104 ) to input information related to the respective operation parameters of the one or more power sources  110 . For example, as further shown in  FIG.  2 B , the interactive user interface may include an “operation page” that allows a user to enter one or more operation parameters (shown as operation parameters  1  through X, where X≥1) of each power source  110  of the one or more power sources  110 . In this way, the analysis system  102  may receive input information and may determine the respective operation parameters of the one or more power sources  110  based on the input information (e.g., by reading or parsing the input information). Additionally, or alternatively, the analysis system  102  may communicate with a data structure associated with the power system  108  and/or the one or more power sources  110  (e.g., a database, a table, or an electronic file that is included in the power system  108  or at least one power source  110  and/or accessible to the power system  108  or the one or more power sources  110 ) to obtain operation information associated with the one or more power sources  110  (e.g., that includes one or more operation parameters of each of the one or more power sources  110 ). The analysis system  102  may determine the respective operation parameters of the one or more power sources  110  based on the operation information (e.g., by reading or parsing the operation information). 
     As shown in  FIG.  2 C , and by reference number  206 , the analysis system  102  may determine one or more performance criteria associated with the power system  108 . The one or more performance criteria associated with the power system  108  may include, for example, a net power output of the power system  108 , a net discharge pressure of the power system  108 , a net pump flow rate of the power system  108 , and/or a net battery discharge rate, among other examples. 
     As further shown in  FIG.  2 C , the analysis system  102  may provide the interactive user interface for display (e.g., as described elsewhere herein). The interactive user interface may include an input functionality that allows a user (e.g., of the client device  104 ) to input information related to the one or more performance criteria associated with the power system  108 . For example, as further shown in  FIG.  2 C , the interactive user interface may include a “performance page” that allows a user to enter one or more performance criteria associated with the power system  108  (shown as performance criteria  1  through Y, where Y≥1). In this way, the analysis system  102  may receive input information and may determine the one or more performance criteria associated with the power system  108  based on the input information (e.g., by reading or parsing the input information). Additionally, or alternatively, the analysis system  102  may communicate with the data structure associated with the power system  108  to obtain operation information associated with the power system  108  (e.g., that includes one or more performance criteria associated with the power system  108 ). The analysis system  102  may determine the one or more performance criteria associated with the power system  108  based on the operation information (e.g., by reading or parsing the operation information). 
     As shown in  FIG.  2 D , and by reference number  208 , the analysis system  102  may determine a baseline operation plan for the power system  108 . The analysis system  102  may process the configuration information associated with the power system  108  and/or the respective operation parameters of the one or more power sources  110  to generate the baseline operation plan for the power system. For example, the analysis system  102  may process the configuration information to identify the one or more power sources  110  and may process the respective operation parameters of the one or more power sources  110  to determine one or more baseline settings of each of the one or more power sources  110  (e.g., settings input by the user of the client device  104  via the interactive user interface). Accordingly, the analysis system  102  may generate the baseline operation plan for the power system  108  to identify the one or more baseline settings of each of the one or more power sources  110 . 
     As shown in  FIG.  2 E , and by reference number  210 , the analysis system  102  may identify an optimization analysis technique for generating an optimized operation plan for the power system  108 . The optimization analysis technique may include, for example, a power system fuel economy optimization analysis technique (e.g., an optimization analysis technique for generating an optimized operation plan that minimizes fuel consumption of the power system  108 ), a power system maintenance optimization analysis technique (e.g., an optimization analysis technique for generating an optimized operation plan that minimizes maintenance costs and/or maintenance time of the power system  108 ), a power system performance optimization analysis technique (e.g., an optimization analysis technique for generating an optimized operation plan that provides a maximum power output performance of the power system  108 ), or a power system emissions optimization analysis technique (e.g., an optimization analysis technique for generating an optimized operation plan that minimizes emissions by the power system  108 ). The optimization analysis technique may utilize an optimization map that was generated using at least one particle swarm optimization algorithm. For example, when the optimization analysis technique includes a power system fuel economy optimization analysis technique, the optimization analysis technique may utilize an optimization map that was generated using at least one particle swarm optimization algorithm that is configured to reduce fuel consumption of the power system  108 . 
     As further shown in  FIG.  2 E , the analysis system  102  may provide the interactive user interface for display (e.g., as described elsewhere herein). The interactive user interface may include a list of a plurality of optimization analysis techniques. A user (e.g., of the client device  104 ) may select an optimization analysis technique from the list. For example, as further shown in  FIG.  2 D , the interactive user interface may include an “optimization page” that displays a list of a plurality of optimization analysis techniques (shown as optimization analysis techniques  1  through Z, where Z&gt;1) and allows a user to enter a selection of a particular optimization analysis technique of the plurality of optimization analysis techniques. In this way, the analysis system  102  may receive the selection and may identify an optimization analysis technique for generating an optimized operation plan for the power system  108  (e.g., by reading or parsing the selection). In some implementations, the interactive user interface may allow a user to select multiple optimization analysis techniques of the plurality of optimization analysis techniques. For example, the user may enter a selection of the multiple optimization analysis techniques and respective weight factors associated with each of the multiple optimization analysis techniques (e.g., a 0.7 weight factor for a first optimization analysis technique and a 0.3 weight factor for a second optimization analysis technique to indicate that the first optimization analysis technique should be given 70% weight and the second optimization analysis technique should be given 30% weight for generating the optimized operation plan for the power system  108 ). In this way, the analysis system  102  may receive the selection and may identify the multiple optimization analysis techniques for generating the optimized operation plan for the power system  108  (e.g., by reading or parsing the selection). 
     As shown in  FIG.  2 F , and by reference number  212 , the analysis system  102  may generate the optimized operation plan for the power system  108 . For example, the analysis system  102  may process, using the optimization analysis technique or the multiple optimization analysis techniques (e.g., that were identified the analysis system  102 , as described herein in relation to  FIG.  2 E  and reference number  210 ), the configuration information associated with the power system  108 , the respective operation parameters of the one or more power sources  110 , and/or the one or more performance criteria associated with the power system  108  to generate the optimized operation plan for the power system  108 . When using the multiple optimization analysis techniques, the analysis system  102  may process the configuration information associated with the power system  108 , the respective operation parameters of the one or more power sources  110 , and/or the one or more performance criteria associated with the power system  108  based on the respective weight factors associated with the multiple optimization analysis techniques to generate the optimized operation plan for the power system  108 . The optimized operation plan may identify, for a particular power source  110 , of the one or more power sources  110 , one or more suggested settings of the particular power source  110  and/or a suggested activation status of the particular power source  110 . 
     In some implementations, the analysis system  102  may be configured to generate the optimized operation plan for facilitating design of a not-yet-implemented power system  108  for the work site  106 . Accordingly, the analysis system  102  may be configured to generate an optimized operation plan that identifies an additional power source  110 , such as an energy storage system, to include in the power system  108 . The optimized operation plan may identify, for example, a type of the additional power source  110 , a vendor of the additional power source  110 , a model of the additional power source  110 , one or more capabilities of the additional power source  110 , or one or more settings of the additional power source  110 . 
     As shown in  FIG.  2 G , and by reference number  214 , the analysis system  102  may cause one or more actions to be performed. The one or more actions may include displaying the baseline operation plan and/or the optimized operation plan. For example, the analysis system  102  may provide the interactive user interface for display (e.g., as described elsewhere herein). The interactive user interface may include the baseline operation plan and/or the optimized operation plan (e.g., the interactive user interface may display the one or more baseline settings of each of the one or more power sources  110  identified by the baseline operation plan and/or the one or more suggested settings of each of the one or more power sources  110  identified by the baseline optimized operation plan). 
     The one or more actions may include simulating baseline operation of the power system  108  and/or simulating optimized operation of the power system  108 . For example, the analysis system  102  may simulate, using the baseline operation plan, operation of the power system to generate one or more baseline performance outputs and/or may simulate, using the optimized operation plan, operation of the power system  108  to generate one or more optimized performance outputs. The one or more baseline performance outputs may respectively correspond to the one or more optimized performance outputs. For example, the baseline performance outputs may include a baseline cost to operate the power system  108 , a baseline amount of fuel to operate the power system  108 , a baseline amount of power output by the power system  108 , a baseline maintenance cost to operate the power system  108 , and/or a baseline amount of emissions output by the power system  108 . The one or more optimized performance outputs may include an optimized cost to operate the power system  108 , an optimized amount of fuel to operate the power system  108 , an optimized amount of power output by the power system  108 , an optimized maintenance cost to operate the power system  108 , and/or an optimized amount of emissions output by the power system  108 . 
     The one or more actions may include displaying simulation results associated with the baseline operation plan and/or the optimized operation plan. For example, the analysis system  102  may provide the interactive user interface for display (e.g., as described elsewhere herein). The interactive user interface may include the one or more baseline performance outputs and/or the one or more optimized performance outputs (e.g., the interactive user interface may display the one or more baseline performance outputs and/or the one or more optimized performance outputs). Additionally, or alternatively, the analysis system  102  may compare the one or more baseline performance outputs and the one or more optimized performance outputs to determine a difference between each corresponding pair of outputs of the one or more baseline performance outputs and the one or more optimized performance outputs (e.g., a percentage difference or a net difference). The interactive user interface, accordingly, may include information related to the comparison of one or more baseline performance outputs and the one or more optimized performance outputs. For example, the interactive user interface may include a difference in cost to operate the power system  108 , a difference in an amount of fuel to operate the power system  108 , a difference in an amount of power output by the power system  108 , a difference in maintenance costs to operate the power system  108 , and/or a difference in an amount of emissions output by the power system  108  when operating the power system  108  according to the baseline operation plan as compared to operating the power system  108  according the optimized operation plan. 
     As indicated above,  FIGS.  2 A- 2 G  are provided as an example. Other examples may differ from what is described with regard to  FIGS.  2 A- 2 G . The number and arrangement of devices shown in  FIGS.  2 A- 2 G  are provided as an example. In practice, there may be additional devices, fewer devices, different devices, or differently arranged devices than those shown in  FIGS.  2 A- 2 G . Furthermore, two or more devices shown in  FIGS.  2 A- 2 G  may be implemented within a single device, or a single device shown in  FIGS.  2 A- 2 G  may be implemented as multiple, distributed devices. A set of devices (e.g., one or more devices) shown in  FIGS.  2 A- 2 G  may perform one or more functions described as being performed by another set of devices shown in  FIGS.  2 A- 2 G . For example, the client device  104  may perform one or more functions described as being performed by the analysis system  102 . 
       FIG.  3    is a diagram of an example environment  300  in which systems and/or methods described herein may be implemented. As shown in  FIG.  3   , environment  300  may include the analysis system  102 , the client device  104 , the power system  108 , the one or more power sources  110 , and/or a network  310 . Devices and/or elements of environment  300  may interconnect via wired connections and/or wireless connections. 
     The analysis system  102  includes one or more devices capable of receiving, generating, storing, processing, providing, and/or routing information, as described elsewhere herein. The analysis system  102  may include a communication device and/or a computing device. For example, the analysis system  102  may include a server, such as an application server, a client server, a web server, a database server, a host server, a proxy server, a virtual server (e.g., executing on computing hardware), or a server in a cloud computing system. In some implementations, the analysis system  102  includes computing hardware used in a cloud computing environment. 
     The client device  104  includes one or more devices capable of receiving, generating, storing, processing, and/or providing information, as described elsewhere herein. The client device  104  may include a communication device and/or a computing device. For example, the client device  104  may include a wireless communication device, a mobile phone, a user equipment, a laptop computer, a tablet computer, a desktop computer, or a similar type of device. 
     Each of the analysis system  102  and the client device  104  may include one or more processors (e.g., one or more of a central processing unit, a graphics processing unit, a microprocessor, a controller, a microcontroller, a digital signal processor, a field-programmable gate array, an application-specific integrated circuit, and/or another type of processing component), one or more memories (e.g., one or more of random access memory (RAM); read only memory (ROM); a hard disk drive; another type of memory, such as a flash memory, a magnetic memory, and/or an optical memory; and/or a non-transitory computer-readable medium), and/or one or more networking components (e.g., one or more communication components). 
     The power system  108  includes the one or more power sources  110 . The power system  108  may be configured to utilize the one or more power sources  110  to generate power (e.g., mechanical power and/or electrical power) for the work site  106 . Each of the one or more power sources  110  includes a device for generating power, such as a genset, an internal combustion engine, an energy storage system, or a hydraulic fracturing rig. 
     The power system  108  and/or at least one power source  110  may each include a data structure that includes one or more devices capable of receiving, generating, storing, processing, and/or providing information, as described elsewhere herein. The data structure may include a communication device and/or a computing device. For example, the data structure may include a database, a server, a database server, an application server, a client server, a web server, a host server, a proxy server, a virtual server (e.g., executing on computing hardware), or a similar type of device. The data source may communicate with one or more other devices of environment  300 , as described elsewhere herein. 
     Network  310  includes one or more wired and/or wireless networks. For example, network  310  may include a cellular network, a public land mobile network (PLMN), a local area network (LAN), a wide area network (WAN), a private network, the Internet, and/or a combination of these or other types of networks. The network  310  enables communication among the devices of environment  300 . 
     The number and arrangement of devices and networks shown in  FIG.  3    are provided as an example. In practice, there may be additional devices and/or networks, fewer devices and/or networks, different devices and/or networks, or differently arranged devices and/or networks than those shown in  FIG.  3   . Furthermore, two or more devices shown in  FIG.  3    may be implemented within a single device, or a single device shown in  FIG.  3    may be implemented as multiple, distributed devices. A set of devices (e.g., one or more devices) of environment  300  may perform one or more functions described as being performed by another set of devices of environment  300 . 
       FIG.  4    is a flowchart of an example process  400  associated with generating an optimized operation plan for a power system. One or more process blocks of  FIG.  4    may be performed by a system (e.g., analysis system  102 ) and/or may be performed by another device or a group of devices separate from or including the system, such as a device (e.g., client device  104 ). 
     As shown in  FIG.  4   , process  400  may include determining configuration information associated with a power system for a work site that includes one or more power sources (block  410 ). For example, the system may determine configuration information associated with a power system for a work site that includes one or more power sources, as described above. 
     As further shown in  FIG.  4   , process  400  may include determining respective operation parameters of the one or more power sources (block  420 ). For example, the system may determine respective operation parameters of the one or more power sources, as described above. 
     As further shown in  FIG.  4   , process  400  may include determining one or more performance criteria associated with the power system (block  430 ). For example, the system may determine one or more performance criteria associated with the power system, as described above. 
     As further shown in  FIG.  4   , process  400  may include determining a baseline operation plan for the power system (block  440 ). For example, the system may determine a baseline operation plan for the power system, as described above. 
     As further shown in  FIG.  4   , process  400  may include identifying an optimization analysis technique for generating an optimized operation plan for the power system (block  450 ). For example, the system may identify an optimization analysis technique for generating an optimized operation plan for the power system, as described above. 
     As further shown in  FIG.  4   , process  400  may include processing, using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system (block  460 ). For example, the system may process, using the optimization analysis technique, the configuration information associated with the power system, the respective operation parameters of the one or more power sources, and the one or more performance criteria associated with the power system to generate the optimized operation plan for the power system, as described above. 
     As further shown in  FIG.  4   , process  400  may include causing, based on the baseline operation plan for the power system and the optimized operation plan for the power system, one or more actions to be performed (block  470 ). For example, the system may cause, based on the baseline operation plan for the power system and the optimized operation plan for the power system, one or more actions to be performed, as described above. 
     Although  FIG.  4    shows example blocks of process  400 , process  400  may include additional blocks, fewer blocks, different blocks, or differently arranged blocks than those depicted in  FIG.  4   . Two or more of the blocks of process  400  may be performed in parallel. 
     INDUSTRIAL APPLICABILITY 
     The above-described techniques allow an analysis system  102  to generate an optimized operation plan for a power system  108 . For example, the analysis system  102  uses an optimization analysis technique to process configuration information associated with the power system  108 , respective operation parameters of one or more power sources  110  of the power system  108 , and/or one or more performance criteria associated with the power system  108  to generate the optimized operation plan for the power system  108 . In this way (e.g., by facilitating configuration of the power system  108  according to the optimized operation plan), the analysis system  102  enables the power system  108  to be configured in an optimized way that minimizes fuel consumption of the power system  108 , that minimizes maintenance costs and/or maintenance time of the power system  108 , that provides a maximum output power performance of the power system  108 , and/or that minimizes emissions by the power system  108 , among other examples. 
     Further the analysis system  102  presents and obtains, via an interactive user interface, information related to the power system  108  and the one or more power sources  110  in an organized and/or comprehensive manner that allows a user (e.g., an operator of the power system  108 ) to quickly and/or efficiently identify ways to improve a performance of the power system  108  (e.g., by configuring the power system  108  to operate according to the optimized operation plan). Further, the analysis system  102  simulates operation of the power system  108  according to the optimized operation plan to generate one or more optimized performance outputs and presents, via the interactive user interface, information associated with the simulation. This allows the user to quickly and/or efficiently identify the optimizations provided by the optimized operation plan. 
     The foregoing disclosure provides illustration and description, but is not intended to be exhaustive or to limit the implementations to the precise forms disclosed. Modifications and variations may be made in light of the above disclosure or may be acquired from practice of the implementations. Furthermore, any of the implementations described herein may be combined unless the foregoing disclosure expressly provides a reason that one or more implementations cannot be combined. Even though particular combinations of features are recited in the claims and/or disclosed in the specification, these combinations are not intended to limit the disclosure of various implementations. Although each dependent claim listed below may directly depend on only one claim, the disclosure of various implementations includes each dependent claim in combination with every other claim in the claim set. 
     As used herein, “a,” “an,” and a “set” are intended to include one or more items, and may be used interchangeably with “one or more.” Further, as used herein, the article “the” is intended to include one or more items referenced in connection with the article “the” and may be used interchangeably with “the one or more.” Further, the phrase “based on” is intended to mean “based, at least in part, on” unless explicitly stated otherwise. Also, as used herein, the term “or” is intended to be inclusive when used in a series and may be used interchangeably with “and/or,” unless explicitly stated otherwise (e.g., if used in combination with “either” or “only one of”).