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Table of Content

    30 November 2020, Volume 0 Issue 11
    Overview
    Innovative Application of Blockchain Technology in Field of Distributed Energy Trading
    ZHAO Sheng, XU Xiaoshu, WU Zhengtian
    2020, 0(11):  1-10.  doi:10.16628/j.cnki.2095-8188.2020.11.001
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    Distributed energy has the characteristics of high energy efficiency,low pollution and economics.It will become the main primary energy of the energy Internet in the future.As a new distributed infrastructure,blockchain has the characteristics of decentralization,transparency,unforgeability and traceability,which are consistent with the demand of distributed energy transaction.Firstly,the paper analyzes the application feasibility of blockchain technology in distributed energy transactions.Then,the theoretical exploration and engineering practice at home and abroad are analyzed and summarized;then from consensus mechanism and off-chain expansion it introduces the new development of blockchain technology in improving network throughtput performance,and the research on blockchain distributed energy transactions is analyzed according to the two transaction models.Finally,it points out the development challenges of blockchain distributed energy transactions and proposes its development prospects.

    Research & Analysis
    Research on MPPT Method of PV Array under Partial Shadow Based on Dolphin Swarm Algorithm
    LU Wentao, XIAO Hui, WU Zijin, WANG Zhiyuan, ZHAO Shuaiqi
    2020, 0(11):  11-16.  doi:10.16628/j.cnki.2095-8188.2020.11.002
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    The traditional maximum power point (MPPT) tracking method is in failure under partial shadow,the particle swarm algorithm,and easy to fall into local search;in the optimization of multimodal function,the dolphin swarm algorithm (DSA) has the advantages of fast convergence speed and high convergence accuracy.Therefore,the DSA is applied to PV MPPT,and a MPPT control method based on the DSA is proposed.In this paper,MATLAB/Simulink is used to build a PV MPPT model,and it is compared with the particle swarm algorithm in multiple illumination modes for simulation verification.The simulation shows that the proposed method can accurately search for the global maximum power point,and the convergence speed is increased by 50%~60%,which reflects the superiority of the method.

    MPPT of PV Arrays Based on New PSO Algorithm
    ZHAN Longhai, LI Shaogang, ZHENG Yitian
    2020, 0(11):  17-21.  doi:10.16628/j.cnki.2095-8188.2020.11.003
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    Due to the influence of the external environment,PV arrays are prone to local shading.At this time,the P-V characteristic curve of the battery will be converted from the original unipolar value to the multipole value,and the traditional maximum power point tracking (MPPT) control method is easy to fall into the local extremum.To this end,this paper introduces an improved particle swarm optimization algorithm that combines asynchronous time-varying learning factors with linear time-varying inertia weights.The simulation by MATLAB/Simulink shows that the improved particle swarm optimization algorithm can achieve MPPT better under the multi-extreme P-V characteristic curve.

    Wind Power Prediction Based on EEMD-SVR Model
    LI Junjie, SHI Qiang, HU Qunyong, HE Lixin
    2020, 0(11):  22-28.  doi:10.16628/j.cnki.2095-8188.2020.11.004
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    The problems of randomness and non-linearity of wind speed make it difficult to predict wind power.For the prediction of wind power,the prediction methods of ensemble empirical mode decomposition (EEMD) and support vector regression (SVR) were proposed.First,the original wind speed signal is modal decomposed,and the EEMD decomposes the wind speed signal into multiple characteristic modal components and a residual component to effectively optimize the nonlinear characteristics of the signal.Second,the SVR model is trained according to the component signals obtained by the decomposition to realize the component prediction.Finally,the predicted components are combined to determine the wind speed prediction sequence,and the predicted power is obtained from the conversion relationship between wind speed and power.Through the case simulation,the prediction effect of the EEMD-SVR model is verified and the model compared and analyzed.The results show that the model can achieve reliable decomposition of non-stationary sequences,and the wind power prediction effect is effectively improved.

    Research and Application of Automatic Planning Algorithm for Collecting Lines of Wind Farms
    ZHU Min, HUANG Guoyan, TANG Binwei
    2020, 0(11):  29-34.  doi:10.16628/j.cnki.2095-8188.2020.11.005
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    This paper draws on the idea of artificial design and proposes a multi-dimensional constrained dynamic programming method,which comprehensively considers various practical problems encountered in the algorithm design process,including fast sub-region clustering,feasible path acquisition,and three-dimensional path planning,economical optimal topology of cable current carrying capacity,interaction between sub-areas,multiple reductions in algorithm operation,greatly shortening planning time.And finally,a practical case manual planning and algorithm operation results comparison indicates that the algorithm is fast and effective.

    Photovoltaic Impedance Identification Based on Random Subspace
    LUO Zhongyou, ZHANG Zeqiang, HOU Bing, ZHOU Jie, CAI Yongjun
    2020, 0(11):  35-39.  doi:10.16628/j.cnki.2095-8188.2020.11.006
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    For the current stability analysis methods of sub-synchronous oscillation,most of the characteristics are analyzed by models,but in practice,photovoltaic models are difficult to obtain directly.The state space model of photovoltaic was established,and the dq-axis current and voltage of the photovoltaic power plant were extracted.The random subspace method was used to analyze the photovoltaic transfer function model.A photovoltaic model was built on the simulation platform to verify the effectiveness of the random subspace method.Finally,according to the data of sub-synchronous oscillation recording of an actual photovoltaic power plant,it is concluded that the phenomenon of sub-synchronous oscillation occurs during the recording of the photovoltaic power station.This method provides a feasible method for monitoring and early warning of sub-synchronous oscillation in actual practice.

    Research on Comprehensive Energy Coordination Planning Considering Flexible Load
    CHEN Changqing, HUANG Jiyuan
    2020, 0(11):  40-45.  doi:10.16628/j.cnki.2095-8188.2020.11.007
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    Aiming at the problem that flexible load (FL) is not considered in the integrated energy planning of the traditional power grid.A method of using FL "virtual energy storage" characteristics to coordinate planning with integrated power grid energy is proposed.First,optimize the load curve by constructing two response models of FL transfer and reduction;secondly,construct a grid expansion planning evaluation index system from multiple perspectives such as grid economy,power quality and supply and demand capabilities,and then realize the calculation of the optimal expansion life of the grid.Finally,through the simulation of the actual distribution network of 10 kV 37 nodes,the results show that the distribution of grid load and FL distribution have a delaying effect on grid planning,and can improve the terminal voltage of the grid and increase the operating economy.

    Test and Analysis of Bow-Raising Circuit in Catenary and Pantograph System
    LIN Guanghua, DENG Lei, WANG Xiao, NI Ziran, HE Zhijiang, WEI Wenfu
    2020, 0(11):  46-51.  doi:10.16628/j.cnki.2095-8188.2020.11.008
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    The catenary and pantograph system is one of the key systems connecting the traction power supply circuit.The normal operation of the bow-lift control loop is of great significance to the stable transmission of the catenary and pantograph.This paper aims at the pathological fluctuation of solenoid valve voltage,current and other parameters in the abnormal state of pantograph,and uses it as the core parameter of the bow control loop to build a test platform for pantograph control loop.The solenoid valve voltage,current and gas pressure at the outlet of the pantograph valve plate were experimentally studied.By studying the changing rules of various parameters under different operating conditions,the paper explores the essential causes of parameter fluctuations,and analyzes and evaluates the contact status of the bow net under different operating conditions.

    Capacity Assessment and Analysis of Grid-Connected Distributed Generation in Active Distribution Network
    XU Haidong, HUANG Ming
    2020, 0(11):  52-57.  doi:10.16628/j.cnki.2095-8188.2020.11.009
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    This paper aims at maximizing the total capacity of distributed generation and minimizing the loss of distribution network operation,analyzes the access capacity of distributed generation in the distribution network considering active management,and verifies the feasibility of the model by simulation examples.The simulation results using active management are compared with that of passive management.The results show that the use of active management can reduce active power loss and increase the access capacity of distributed generation.

    Control Strategy of Seamless Switching for VSG Grid-Connected/Islanded Based on Virtual Current
    LIN Lei, WEN Buying
    2020, 0(11):  58-64.  doi:10.16628/j.cnki.2095-8188.2020.11.010
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    The control strategy of micro-grid inverter based on virtual synchronous generator (VSG) technology can increase the inertia and damping of the system to a certain extent,which further improves the grid-connected absorbing ability of distributed power.There are two operating modes of the micro-grid:connected and off-grid,but there will be a large impulse current at the moment of on-off switching.Therefore,a control strategy of seamless switching for VSG grid-connected/islanded based on virtual current is proposed.This article first establishes the mathematical model of VSG,designs its power frequency regulator and excitation controller module.Secondly,it analyzes the problems that occur during the on and off-grid switching of VSG,and then proposes an improved pre-synchronous control strategy to ensure the smooth switching of VSG between the two operating modes.Finally,the simulation model is built using MATLAB/Simulink to verify the correctness of the proposed strategy.

    Converting Technology
    Research on Synchronous Rectifier Converter System with Phase-Shift Full Bridge Inverter
    JIN Ningde, WANG Haixin, HUANG Haihong
    2020, 0(11):  65-69.  doi:10.16628/j.cnki.2095-8188.2020.11.011
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    A phase-shifted full-bridge soft-switching converter with synchronous rectification function suitable for low-voltage and high-current applications was studied by this paper.The soft switching technology is used to reduce the switching loss of the circuit,and the synchronous rectification technology is used to reduce the rectification loss of the circuit,which effectively improves the efficiency of the converter.The soft switching technology and synchronous rectifier circuit in phase shift full-bridge inverter were analyzed.

    Grid-Tied PV Micro-Inverter with New Hybrid Control LLC Resonant Converter
    CHEN Zhejun
    2020, 0(11):  70-76.  doi:10.16628/j.cnki.2095-8188.2020.11.012
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    In order to meet the micro-power photovoltaic inverter input voltage range wide,and the characteristics of the high efficiency requirements,this paper proposed a two-stage type micro-inverter of high frequency power transformation plan.The top level LLC resonant full bridge converter at the switching frequency is higher than the resonant frequency,at the same time using frequency PFM and phase shift PWM control strategy,which not only meets the requirements of the photovoltaic panels wide voltage range,but also realizes the efficient power transformation of the wide voltage range.The MPPT control method with the latter stage power disturbance is simple to control and avoids the shortage of many control variables in the former stage disturbance.The optimal design method of resonant tank was presented,which can optimize the efficiency of the converter.A 250 W/220 V AC/50 Hz grid-connected photovoltaic inverter was developed.The experimental prototype has good grid-connected current performance index,high efficiency of the prototype,and fast tracking speed and accuracy of MPPT,which verifies that the proposed scheme,design and control method are correct and effective.

    Power Quality
    Study on Optimization Method of Proportional + Repetitive Control in Active Power Filter
    DING Hongyu, ZHEN Chao, ZHANG Jian, HUANG Haihong
    2020, 0(11):  77-84.  doi:10.16628/j.cnki.2095-8188.2020.11.013
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    Three kinds of existing proportional + repetitive control composite control strategies for three-phase three wire active power filter are compared and analyzed,and two improved methods are proposed for the proportional + repetitive control in series composite control strategy,so that it has faster response speed and higher tracking accuracy than single repetitive control.The correctness and effectiveness of the control strategy are verified by theoretical analysis,MATLAB simulation and prototype test.

    Reactive Power Optimization of Distribution Network with Photovoltaic Power Supply Based on Adaptive Genetic Algorithm
    RONG Yajun, FENG Haichao, SONG Liwei, LI Cong, LIU Chao
    2020, 0(11):  85-91.  doi:10.16628/j.cnki.2095-8188.2020.11.014
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    Considering the output randomness and uncertainty of photovoltaic power generation system,the reactive power of the system is optimized by using the photovoltaic inverter with residual capacity as a continuously adjustable reactive power source.Based on the analysis,an 8-node chain distribution network model is established to evaluate the constraint relationship between distribution network voltage and photovoltaic grid-connected capacity after distributed photovoltaic access to distribution network.The probability distribution model of photovoltaic power supply output is established,and the reactive power of distribution network is optimized by taking the minimum sum of active power loss and total voltage deviation as the objective function.The discrete data of the system are processed by adaptive genetic algorithm (AdapGA),and the optimal solution is found.An example of IEEE33-bus system shows that the model and method are practical.Interoperability can reduce the node voltage loss of distribution feeder,reduce the active power loss of distribution network,and ensure the stable operation of distribution network when intermittent power supply is connected to the grid.The correctness and validity of the model and method in this paper are verified.

    Research on Photovoltaic Output Fluctuation Stabilization Based on PSO-BP Neural Network
    WANG Yao
    2020, 0(11):  92-94.  doi:10.16628/j.cnki.2095-8188.2020.11.015
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    Photovoltaic power has the characteristics of instability,volatility,intermittent,a large number of grid-connected will not be conducive to the stable,energy storage device can solve the above problems.In this paper,a PV output fluctuation suppression model based on PSO-BP neural network is proposed.On the basis of obtaining the typical output curve of photovoltaic power station,the relevant parameters of energy storage configuration are obtained by optimizing the time constant of first-order low-pass filter.The simulation results show that compared with BP neural network,PSO-BP neural network model can obtain better time constant.

    Energy Management
    An Optimal Allocation Strategy Considering Reliability for Hybrid Wind-Photovoltaic-Battery Energy System
    LUAN Deli, ZHANG Yuxian
    2020, 0(11):  95-102.  doi:10.16628/j.cnki.2095-8188.2020.11.016
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    Considering large fluctuation of the output power of the system due to the randomness and intermittency of the stroke and photo primary power of the high-scale wind storage hybrid system,an optimal allocation strategy for the wind storage hybrid system was proposed.According to the definition of dimensionless reliability synthesis index of system allocation,load distribution and equipment utilization,the opportunity constraint planning is used to overcome the influence of wind power and PV output power uncertainty,and the improved NSGA-II algorithm is used to realize the optimal configuration of wind-photo-storage hybrid system capacity.Using PSCAD software to build the wind-photo-storage hybrid system model,the proposed method is compared with the NSGA-II algorithm for optimal configuration.The experimental results show that the proposed method can greatly improve the influence of wind-photovoltaic uncertainty on the output power of the system.

    Low Carbon Economic Dispatch of Wind Power Consumption Considering Power to Gas Heat Recovery and Heat Accumulator
    REN Shengnan, WANG Jin, GONG Luowen, LIU Xing, LIU Ting, HU Zebin
    2020, 0(11):  103-110.  doi:10.16628/j.cnki.2095-8188.2020.11.017
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    Considering the strong exothermic property,power to gas can operate in coordination with the heat accumulator,and the heat released by the methanation reaction of power to gas can be injected into the heat network efficiently in the low load period,which provides a new way to accommodate the wind power.This paper proposed a low-carbon economic dispatch model of wind power consumption considering power to gas heat recovery and heat accumulator.The carbon trading mechanism is introduced.The objective function is to minimize the system carbon cost,fuel cost,abandoned wind cost,electricity to gas cost and gas supply benefit.The constraints of thermoelectric coupling,unit climbing power,power to gas output,heat and electricity power balance are considered.The simulation results show that considering the electricity to gas heat recovery can effectively improve the wind power consumption capacity,reduce the total cost and carbon emissions of the system.Finally,the influence of the unit operation cost of electricity to gas on the wind power consumption capacity and economy of the system is analyzed.

    Orderly Charge Energy Management to Promote the Consumption of Renewable Energy
    XIONG Yan, LI Qiangze, YU Wei, XU Haibo, LI Shaohui
    2020, 0(11):  111-115.  doi:10.16628/j.cnki.2095-8188.2020.11.018
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    Aiming at the problem of power grid power fluctuation and renewable energy uncertainty caused by large-scale disordered charging of electric vehicles,an energy management model for orderly charging of electric vehicles under reservation mechanism was proposed.Based on the predicted value of renewable energy output,the dynamic charging price is formulated to guide the orderly charging of electric vehicles.The model is solved by the improved genetic algorithm.The pareto non-dominated quick sequencing method is used for multi-objective optimization problem,and a new parent generation is generated according to the elite retention strategy combined with population crowding degree,which can quickly converge and avoid falling into local optimum.Through the simulation of a park wind storage charging station,the feasibility and effectiveness of the proposed model and algorithm are verified.The charging cost is reduced while the peak valley difference is reduced,and the consumption of renewable energy is improved.The energy management effect is remarkable.