bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative detection of trace H2S based on ultraviolet differential optical absorption spectroscopy
Authors: Li H T , Zhao K , Ma Y , Jia Y Y , Liu Y F , Gao S , Song S Q , Zhang X X 
Published: October 2019

Abstract
As an important decomposition component of SF6, H2S can provide an important information for the evaluation of insulation state of SF6 gas insulated equipment. Since H2S has obvious absorption in the ultraviolet (UV) range of 190∼230 nm, the UV absorption spectrum detection platform is established to realize its detection. In this paper, SF6 decomposition component detection platform based on UV spectroscopy was built, and the UV absorption spectrum of H2S was obtained. Since the UV absorption spectrum directly obtained by the instrument is susceptible to spectral scattering and high frequency noise, the detection sensitivity is low. Therefore, this paper uses the UV differential algorithm to obtain the UV absorption spectrum of H2S. After experimental tests, the R2 of the fitted line is as high as 0.999. Moreover, the method has good repeatability for detection of H2S, the results show that the absolute error does not exceed 0.2 μL/L. The noise is calculated by randomly collecting 30 sets background spectrum, and the detection limit is 0.590 μL/L when the signal-to-noise ratio is 1. A method for detecting H2S gas concentration based on UV differential absorption spectroscopy is proposed, which is suitable for on-line monitoring of trace H2S in the decomposition components of SF6 gas insulated equipment.
Profit sharing method based on weighted Shapley value under government regulation
Authors: Yu L L , Li T T , Liu W X , Yuan P , Shao H B , Wang Y , Wang Z Q , Zhou S C 
Published: October 2019

Abstract
With the diversification of power market users, reasonable profit distribution among members becomes the focus of government regulation. Under the background of demand-side liberalization, with the introduction of “peak-regulating device” represented by battery, the member operation characteristics of small and medium-sized power users become more and more complex, and the traditional method of profit allocation based on power generation assessment is no longer applicable. In order to solve this problem, this paper proposes a profit-sharing method based on weighted Shapley value, which takes the contribution of marginal conditional value-at-risk under the participation of small and medium-sized users as the weight to improve the traditional Shapley value method. An example is given to illustrate the feasibility and rationality of the improved method.
Numerical simulation of wind farm flow field
Authors: Qin T , Zhang X D , Wang Y K , Cai B , Han Y , Yu Y L 
Published: October 2019

Abstract
Because of its high accuracy can be achieved and can reduce the gold investment, CFD calculations are widely used in wind farm construction projects. This paper uses the solver buoyantBoussinesqSimpleFoam of the open CFD software-OpenFOAM to simulate the wind farm. First, we use the flat terrain and homogeneous Atmospheric Boundary Layer (ABL) flow, corresponding to the atmospheric boundary layer of a neutral state, stable state and unstable state was established three groups of numerical simulation models to correctness of the models. The results show that the three models used in this paper have ideal simulation results for the atmospheric boundary layer, and can accurately calculate the atmospheric boundary layer containing temperature and buoyancy effects. By comparing the calculation results of Askervein Moutain and Bolund Island with the experimental data, it is found that: The calculation model and solver used in this paper can better calculate the wind resource distribution under complex terrain conditions, and the calculation results are accurate, which is in good agreement with the experimental values.
Thermochemical upgrading of coconut husk and rubber seed to coal co-firing feedstock via torrefaction
Authors: Lee Y T , Ng H K , Gan S , Jourabchi S A 
Published: October 2019

Abstract
This research seeks to investigate thermochemical upgrading of Malaysian coconut husk and rubber seed to coal co-firing feedstock via torrefaction. Torrefaction experiments within a range of temperatures (200-300°C) and holding times (30 and 60 min) were carried out using a tubular furnace. Mass yield, higher heating value (HHV), energy densification ratio (EDR) and energy yield as well as proximate analysis were determined for the torrefied biomass sample. Both torrefaction temperature and holding time decreased the mass yield and the energy yield of the torrefied biomass. The HHV and EDR of coconut husk and rubber seed increased upon torrefaction. The VM decreased while the FC increased after torrefaction. Rubber seed torrefied at 300°C and 60 min had a HHV of 29.22 MJ/kg which was comparable to that of bituminuous coal. Linear correlations (R2=0.7764-0.965) were developed between mass yield and EDR, as well as mass yield and energy yield. Up to 70 wt% and 60 wt% of coal with a fuel ratio of 1 could be replaced by coconut husk and rubber seed torrefied at 300 °C and 60 min, respectively. Overall, the study indicated the feasibility of torrefied rubber seed (300°C and 60 min) as a coal co-firing feedstock in comparison to torrefied coconut husk due to its higher HHV cum lower ash content as well as its high co-firing proportion with coals having fuel ratio of at least 1.
In-situ continuous growth of carbon nanotubes on the surface of carbon fibres
Authors: Qin J J , Wang C G , Wang Y X 
Published: October 2019

Abstract
An efficient method for growing carbon nanotubes (CNTs) on the surface of continuously moving carbon fibres has been developed by a unique open-ended chemical vapor deposition (CVD) furnace. Scanning electron microscopy (SEM) is used to observe the morphological characteristics of CNTs grown on carbon fibre surfaces, and high-resolution transmission electron microscopy (HRTEM) is used to study the microstructure of CNTs. The results show that the CNTs achieve uniform and orderly growth. In the process of CNTs growth, the cross-linking of adjacent graphite crystallites is formed and the damage of the catalyst nanoparticles to the fibres is repaired, so the tensile strength is increased compared to the carbon fibres undergoing reduction. CNTs-grown carbon fibres can be used to fabricate the flexible supercapacitor electrodes to improve electrochemical capacitance and promote electrochemical stability.
Maximum power point tracking control of photovoltaic power generation based on boost circuit
Authors: Li K , Cheng H X 
Published: October 2019

Abstract
In order to find an effective way of improving the power generation efficiency of photovoltaic solar panels, this paper discusses how to maximize the power point tracking control of photovoltaic panel power generation so that the panel is always output with the maximum power. This paper starts with an introduction of the working principle of maximum power point tracking (MPPT) and then compares several common methods of MPPT. After analyzing and comparing these methods, the most practicable and effective one is finally determined, which is the incremental conductance (INC) based on boost circuit. In this paper, modeling and simulations are carried out to prove the correctness and reliability of this method.
Analysis of line loss status and loss reduction measures in eastern Inner Mongolia Area
Authors: Lu J Q , Lan Y , Ren Z , Zheng T T , Wang J F , Zheng B W , Gao H 
Published: October 2019

Abstract
Loss reduction, energy saving, safe and stable operation of power grid are two major themes of power companies, among them, line loss is a comprehensive technical indicator for measuring and assessing the production technology and management level of power supply enterprises. It is also a comprehensive indicator for evaluating the operation level and production level of power enterprises. The loss is the inevitable cost of the power grid when transmitting power, which related to the planning, operation level and operational efficiency of the power grid, the calculation and analysis of the loss can effectively indicate the direction for the next step of the power grid and provide effective guidance for the economic operation of the power grid.
Fault Diagnosis of Mine Fan Bearing Based on Beetle Antennae Search
Authors: Che X Q , He H , Liu C Y , Sun H N , Bian L 
Published: October 2019

Abstract
Mine fan is the lifeblood of coal mine safety production, which plays an important role in ensuring the safety of the lives of mine workers. Once it fails to operate, it will cause irreparable serious consequences. Therefore, in order to ensure the safe operation of mine fan, this paper takes the common motor bearing faults in fan faults as the object of study, proposes a method of using rough set attribute reduction combined with Beetle antennae search to optimize BP neural network to establish diagnosis model, and compares it with genetic algorithm, particle swarm optimization, imperial competition algorithm and ant lion optimization algorithm. The experimental results show that the method achieves 90% accuracy in fault diagnosis of mine fan bearing, and has faster convergence speed and shorter operation time. Compared with other optimization algorithms, the method has greater advantages. After many tests, the diagnosis results are stable, which proves that the method is feasible and effective in fault diagnosis of mine fan.
Quotation and operation optimization of VPP in medium and long term market
Authors: Wang Z Q , Deng F Z , Bai H K , Yang M 
Published: October 2019

Abstract
Due to energy shortage and environmental pollution, distributed energy resource (DER) has been pouring into the grid, but its output is intermittent and fluctuant, which affects the operation of power grid. “Virtual power plant (VPP)” provides a channel to solve this problem. In this paper, VPP including distributed power supply (photovoltaic, wind power and gas turbine) and energy storage system (energy storage battery) is taken as the research object. Based on the uncertain factors such as season-of-use price, light intensity and wind speed, the VPP bidding strategy and operation scheduling strategy in the medium and long term contract market are studied, and the risk value model is applied to risk management. The example testing results show that, when quoting, the maximum loss caused by electricity price is generally within 5%, which is an acceptable risk; in operation, the gas turbine plays a major role in balancing the output deviation, and the VPP operation scheduling strategy has certain economic benefits.
Experimental Study of Smoke Deposition in the Case of Leakage Joint at the Bottom of Circular Utility Tunnel
Authors: Liu H N , Zhu G Q , Liang Z H , Zhou X 
Published: October 2019

Abstract
In order to obtain the relationship between the height of smoke layer and time in the case of fire with small leak at the bottom of circular utility tunnel. In this paper, diesel was used as fuel to conduct three small-size experiments in the utility tunnel. Based on the work of predecessors, the formula for the deposition of smoke suitable for circular utility tunnel was obtained. The results of the study are as following: 1) The highest temperature appears near the ceiling directly above the fire source. The temperature below the location of the hydraulic jump was very low and the temperature presents an obvious stratification phenomenon; 2) By comparing the calculating value with the experimental value, it is suggested that the equation can predict the change of smoke stratification height with time; 3) The horizontal spreading process of smoke in the ceiling is neglected, and the lower air cross-section area is treated approximately, which is the main reason for the difference between the calculating value and the experimental value.
Energy supply and Strategy of Core Urban agglomeration—taking Guangdong-Hong Kong-Macao Greater Bay Area as an example
Authors: Qin Y , Yu P 
Published: October 2019

Abstract
With the proposal of Guangdong-Hong Kong-Macao Greater Bay Area, its development is bound to become a world-class economic bay area that our country should pay attention to. However, the Greater Bay Area is located in the Pearl River Delta, where the energy is scarce and the economic development cannot be separated from the supply of energy, so solving this contradiction is a problem that cannot be bypassed in the development of the Greater Bay Area. Under the background of advocating energy-saving and environmental protection and green development, the energy utilization in Guangdong-Hong Kong-Macao Greater Bay Area is more and more important. Based on the analysis of the energy predicament in the Greater Bay Area and the energy strategy of Japan and the United States, this paper puts forward some ideas to solve the energy dilemma in the Greater Bay Area.
Artificial intelligence design research on the cyber security penetration testing of power grid enterprises
Authors: Sun X D , Ren Z , Yang P W , Li J , Chen H Y , Liu T Q 
Published: October 2019

Abstract
This paper introduces the key components of Artificial Intelligence (AI) expert system. It studies the main application of AI technology in network security. It deeply analyzes the network security situation of power grid enterprises, as well as the main problems in the troubleshooting and verification of vulnerability. The AI penetration test expert system is designed, and the implementation of the system is elaborated.
Research on APF Improved Control Strategy Under Three-phase Voltage Distortion
Authors: Lan Y , Lu J Q , Wang D , Zheng T T 
Published: October 2019

Abstract
At present, the most commonly used harmonic current detection algorithms are the p-q algorithm and the ip-i
q
algorithm based on the instantaneous reactive power theory. The premise of using the above algorithms is that the three-phase voltage is the ideal sinusoidal voltage. However, harmonic pollution distorts the voltage of the power grid to different degrees, which will affect the detection accuracy and compensation effect of APF. This paper presents a current detection algorithm based on positive sequence fundamental wave extractor, which can avoid the detection of positive sequence fundamental wave voltage of power grid, and can effectively avoid the shortcomings of p-q algorithm and ip-iq
algorithm without using PLL, complex coordinate transformation and low-pass filter. In the current control algorithm, according to the characteristic that the gain of the generalized integrator is infinite when resonance occurs, the sinusoidal and cosine instructions can be tracked without static difference, this paper which is based on the generalized integrator adaptively adjusts the coefficients of the generalized integrator to improve the robustness of the current controller. Finally, the simulation model is established by MATLAB, and the simulation results show that the improved harmonic current detection algorithm and control algorithm are advanced and effective.
Changes on structural and electrical properties of retired cross-linked polyethylene (XLPE) cable insulation under electro-thermal aging test
Authors: Huang J S , Lu R G , Shi Y X , Zhao Y F , Huang J X , Fang X H , Liu G , Li Z J 
Published: October 2019

Abstract
In order to study the insulation performance of two retired high voltage cross-linked polyethylene (XLPE) cables with service years of 16 and 32 and evaluate the reliability of reusing these cables for actual operation, a 180-day electro-thermal aging test was exerted on a section of these two cables to inspect the changes on structural and electrical properties. Several diagnostic measurements including fourier infrared spectroscopy (FTIR), differential scanning calorimetry (DSC) and breakdown field strength were carried out on the untreated and treated samples. The measured results show that the crystalline structure of the 16 years cable has been improved after the accelerated aging test probably because of the reduction of the impurities and the annealing effect, which further improve the electrical property. Even though the molecular chains of the 32 years cable insulation has been damaged and a slight degradation happens on the crystalline structure under the intensive aging test condition, which is responsible for the decline in the electrical property, the cable still have the potential to resist the stresses properly under the actual operation condition for a long time from the perspective of the XLPE. Therefore, it can be expected that the rest of these two retired cables still have the ability to reuse in the long-term actual operation condition.
Effective steady-state security regions of power systems considering voltage magnitude
Authors: Zhou Y , Yang X L , Yang M , Zhu Y , Wang C , Bo Y F , Du P J 
Published: October 2019

Abstract
With high-level variable renewable energy integrating into power systems, the uncertainty significant challenges to the real-time dispatch (RTD). Meanwhile, the influence of voltage magnitude and reactive power on RTD always were ignored. Based on effective steady-state security regions of power systems and linear power flow model, a real-time dispatching method considering voltage magnitude and reactive power is proposed in this paper. This model has two goals, one is the security goal, the other is the economic goal, and priority of security objectives is higher than economy. Unlike previous real-time dispatch methods, all of the operation base point, reactive power output and participation factors of automatic generation control (AGC) generators are chosen as decision variables in the model. In order to ensure computational efficiency, the model is finally transformed into a deterministic linear programming (LP) problem by robust optimization and other methods. The accuracy and computational efficiency of the method are illustrated by modified IEEE 9-bus system and IEEE 118-bus system.
Short-term forecasting of electric load based on Kalman filter with elastic net method
Authors: Tian Y J , Shen H X , Gao W G 
Published: October 2019

AbstractThe short-term forecasting model based on Kalman filter is an important class of predictive algorithm widely used. This paper discusses a self-adaptive Kalman filter. The main idea of the paper is applying elastic net method and covariance matrices estimation to parameter identification, which can select variables of state with linear regression to make the model close to reality. Finally, this paper gives a simulation experiment to prove the effectiveness and feasibility of the model in practice.
Study on the Adjustment of the Network Interface for the Station Domain Protection Device Based on RTDS
Authors: Wang G N , Pan B R , Gui X Z , Xie G Q , Zhou S H , Zheng X 
Published: October 2019

Abstract
With continual development of smart grid construction, digital substation devices based on the specification IEC 61850, such as substation-area backup protection, have been widely applied. According to the “Technical requirements for the substation-area backup protection control device of the new generation of intelligent substation”, this paper put forward the debugging scheme of all digital network interface based on RTDS. Through the introduction of the RTDS software and hardware platform of the whole process building and commissioning, and by constructing substation simulation model and configuring GTNET-GSE card and GTNET-SV card, a closed-loop test system of substation-area backup protection device is completed, also this process development verification interface debugging method and configuration files have a certain practical value. The simulation of substation typical fault conditions and device data receiving processing mechanism can effectively meet the state grid enterprises standard Q/GDW11053-2013 for protection device test project requirements, and this test can significantly improve the smart substation integrated debugging efficiency.
Anomaly detection for wind turbine gearbox oil pressure difference based on SCADA data
Authors: Bo Y F , Zeng X J , Yang M , Zhu Y 
Published: October 2019

Abstract
In this paper, a SCADA data-based fault detection method for gearbox oil pressure difference is proposed, and the core of the method is Spare Bayesian Learning (SBL) algorithm. The gearbox oil pressure difference probability estimation model can be constructed by training the historical normal operating based on SBL. Then, the probability distribution interval of the gearbox oil pressure difference can be estimated. The abnormal state of gearbox oil pressure difference can be judged by observing whether the actual value within the probability distribution interval. In addition, statistical hypothesis testing method is used to verify the reliability of the anomaly detection results. Through the method, the gearbox oil pressure difference anomaly detection problem can be transformed into a parameter estimation problem with low computational complexity. Case studies are conducted on two actual WTs with known gearbox oil pressure difference faults, and the results demonstrate the feasibility and effectiveness of the method.
Calculation and application of surface nominal electric fields of ±1100 kV UHVDC power lines
Authors: Li X J 
Published: October 2019

Abstract
Electric field strength is one of fundamental electromagnetic environmental parameters for the design of ultra-high voltage direct current (UHVDC) power lines and towers when considering human exposure and transient shock. In order to investigate the impacts of power lines’ geometric parameters on the nominal electric fields on the surfaces of ±1100 kV UHVDC sub-conductors, charge simulation method is used for calculations. The algorithm is verified by both verification nodes’ potentials in the process and measurement experiments in the laboratory. The geometric parameter of sub-conductor radius has the most obvious effect on the field. When the radius varies by 10%, the electric field strength on the sub-conductor’s surfaces may change approximately by 8%. Calculation results demonstrate that increasing sub-conductor radius may be most effective measure to restrict the electric field on the ground.
Research on the Influence of Wind Characteristics on Output Characteristics of Doubly - fed Wind Turbines
Authors: Bai Y P , Wang D , Yang P W 
Published: October 2019

Abstract
The inherent randomness and intermittence of wind power will make it difficult to accurately predict the output of wind farms and the regulation and stability of power grids. As the output power of the turbine is proportional to the third power of the wind speed, tiny variation of the wind speed will cause much larger fluctuation of the turbine output. With the construction of wind farms gradually moving to non-wind resource-rich areas such as mountainous areas, wind turbines have to face more pulsating wind and greater turbulence intensity. In this paper, based on field measurement data and Generated wind conditions, a doubley-fed wind turbine simulation model was built to simulate the influence of different wind condition variations on the output characteristics of the doubly-fed wind turbines. The response of wind turbines to pulsating wind speed is analyzed by using the step response module to simulate the characteristics of wind. By dividing three different working intervals of wind turbine, the influence of different turbulence intensity on the output characteristics of wind turbines is analyzed. The simulation results have theoretical significance for improving the accuracy of wind turbine output prediction and wind turbine optimization design.