# Advancing Grid-Connected Renewable Generation Systems
###### Abstract  
The proposed approach to solving the energy-based energy  
turn might enhance the efficiency and reliability of the whole PV system. Accordingly, in [2], the authors represent a grid-connected PV system based on a differential step-up inverter working as an adaptive DC-AC inverter topology providing voltage boost capability and it could be one of the future candidates for many DC-AC electrical energy conversion applications. The main objective of the paper is a control-oriented full-order model and the design of a control strategy for a PV-fed grid-tied boost inverter as a whole system is presented without any decoupling between the two loops in the control system.  
The authors of [3] raised the issue of soiling in PV installations. The soiling will provoke a reduction in the performance of the PV plant, due to energy losses and degradation of the panels. This research has predicted the losses due to dust soiling in a photovoltaic plant, taken into account metrological conditions depending on installation placement of the PV plant, the short-circuit current (Isc), the module temperature (Tpanel), global irradiation (Iglo), relative humidity (RH), ambient temperature (Tamb), atmospheric pressure (P), and solar altitude (\(\alpha\)) by applying artificial intelligence techniques.  
Renewable energy sources, especially photovoltaic systems and wind turbines, are directly dependent upon unpredictable meteorological conditions. In the case of photovoltaic systems, the main challenge for scientists and design engineers is partial shading conditions. The work in [4] presents a new global maximum power point tracking (GMPPT) method, which is based on a machine-learning algorithm and seems to be effective. The proposed method has the preference that it does not require knowledge of either the operational characteristics of the PV modules comprising the PV system or the PV array structure.  
The main goal of micro-grids is to improve power reliability and power quality, increase system efficiency and provide the possibility of grid-independence to individual end-users. In [5] is proposed a novel control method intended for compensating the micro-grid power factor and load asymmetries by utilizing advanced functionalities enabled by grid-tied inverters of photovoltaics (PV) and energy storage system (ESS). In addition, a micro-grid central controller (MGCC) allows at the same time to deliver reactive power (RP) and provide phase balancing (PB) services using grid-tied inverters.  
Power electronic interfaces (PEI) connect the link between renewable generation technologies and the power grid/consumers. Despite the importance, the power electronic interfaces have a major disadvantage which is the absence of inertia. The long-term inertia will strongly affect the indicator, which is used for assessing the strength of the power system. In [6] the authors present an adaptive parameter tuning method to determine load deviations. In the beginning, the concept and implementation of the virtual synchronous generator (VSG) were explored performing an inertia response (IR), and the primary frequency responses (PFR) were seen. Next, a simplification of the transfer function for the dynamic system of the stand-alone VSG-PEI was investigated and completed according to the distributed poles and zeros in the overall system.