Table of Content

30 October 2025, Volume 0 Issue 10

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Overview

Current Status Analysis and Development Suggestions of New Energy Storage Standardization

DENG Qixi

2025, 0(10):  1-7.  doi:10.16628/j.cnki.2095-8188.2025.10.001

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Standardization is of great significance to the healthy development of the new energy storage industry.Starting from the analysis of the policy background in the field of new energy storage standardization in China since the 14th Five-Year Plan, the current status of international new energy storage standardization are summarized, and the development advantages and main problems of standardization work in China are sorted out.The comparative analyses of the standardization competition pattern and the indicators for key energy storage standards are carried out.Suggestions are proposed for the standardization of new energy storage in China.

Research & Analysis

Application Analysis of Grid-Forming Energy Storage in Xizang Power Grid

XU Jiangbo, LI Jun, MAO Haibo, QIN Jiali, XU Shouping

2025, 0(10):  8-15.  doi:10.16628/j.cnki.2095-8188.2025.10.002

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The main power grid framework of Xizang is a long-chain weakly interconnected structure with insufficient system regulation capacity.Enhancing the active support capability has become an urgent issue for the Xizang power grid.Deploying the grid-forming energy storage is proposed to enhance grid voltage and frequency support capabilities.First, through simulation methods, the inertia response and voltage support capabilities of the grid-forming energy storage are focused on analyzing, and compared with those of synchronous generators.Then, by combining an operational case of a grid-forming energy storage power station in the Xizang power grid, the voltage and frequency support functions of the grid-forming energy storage in weak grids are demonstrated, proving that the grid-forming energy storage is the primary solution for supporting the Xizang power grid.Finally, the opportunities and challenges facing the development of the grid-forming energy storage are presented.

Refined Energy Management and Control Strategy for Energy Storage Power Stations Based on Multi-Agent Theory

WANG Zhiyuan, LIU Yuewei, SHANG Sen, REN Feng, DONG Hongwei

2025, 0(10):  16-27.  doi:10.16628/j.cnki.2095-8188.2025.10.003

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In the power systems with a high proportion of renewable energy integration, aiming at the problem of allocating charging and discharging power among large-scale energy storage units with different initial states of charge(SOC)levels, a refined energy management and control strategy for energy storage power stations based on multi-agent theory is proposed.For large-scale centralized energy storage power stations, an agent-based control architecture for energy storage units is constructed.The charging and discharging power of the power conversion system(PCS)and the SOC are mapped to the velocity and position variables of the particle swarm optimization(PSO)algorithm respectively, and an optimization model considering power limits and SOC balancing constraints is established.Simulation results demonstrate that the proposed strategy can achieve the precise management of multiple energy storage units within the station, and enable units with inconsistent initial states to gradually reach a balanced SOC during operation.

Black-Start Control Strategy for Photovoltaic-Storage Microgrid Based on Improved Micro-Source Voltage and Virtual Synchronous Generator

DUAN Ketong, HAN Zijiao, DONG Yannan, CAI Zhiyuan

2025, 0(10):  28-36.  doi:10.16628/j.cnki.2095-8188.2025.10.004

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In order to promote new energy to replace traditional hydropower and gas units as black-start power sources, a black-start control strategy for photovoltaic-storage microgrid based on improved micro-source voltage and virtual synchronous generator is proposed.Firstly, by adjusting the no-load voltage amplitude of the droop curve and limiting the boost time, the inrush current caused by the saturation of the transformer flux is avoided.Then, the virtual synchronous generator control is introduced into the photovoltaic inverter to simulate the characteristics of the traditional synchronous generator and improve the stability of the photovoltaic system.Finally, the simulation model of photovoltaic-storage microgrid is built and analyzed in MATLAB/Simulink.The results show that the improved voltage control can avoid the bus inrush current and establish a stable voltage.The virtual synchronous control enhances the support of the photovoltaic system to external fluctuations.The proposed control strategy meets the requirements of the whole process of black-start.

Research on Orderly Charging Strategy for Electric Vehicles Based on Time of Use Tariff Periods During Peak Valley Period

GUO Fang, SUN Penglong

2025, 0(10):  37-41.  doi:10.16628/j.cnki.2095-8188.2025.10.005

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Aiming at the problem that the disorderly charging for electric vehicles can lead to an increase in the peak valley difference rate of the total load of the distribution transformer, an orderly charging strategy based on time of use tariff periods is proposed.A mathematical model of disorderly charging for electric vehicles is established.The Monte Carlo simulation method is used to estimate the disorderly charging load of the electric vehicle cluster.With the goal of minimizing the peak valley difference rate of the total load of the power grid, the genetic algorithm is used to solve the optimal valley tariff period.The simulation results show that compared with disorderly charging, the proposed strategy effectively reduces the peak valley difference rate of the total load of the power grid.When the number of electric vehicles is 1 000 and the user response is 0.9, the peak valley difference rate of the total electricity load corresponding to orderly charging is reduced by 14.6% compared with disorderly charging, which verifies the effectiveness of the proposed strategy.

Optimization Strategy for Electricity Allocation of Electric Vehicle Aggregator Under Demand Response Mechanism

LIU Enming, WANG Juanjuan

2025, 0(10):  42-47.  doi:10.16628/j.cnki.2095-8188.2025.10.006

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A response electricity allocation optimization strategy is proposed for the capacity allocation problem of electric vehicle aggregators of different scales participating in the electricity market demand response.Firstly, the Monte Carlo simulation method is used to construct an electric vehicle aggregator capacity prediction model.Then, an electricity price negotiation mechanism is established between electric vehicle aggregators and distribution network operators.Finally, based on the replicator dynamics theory of evolutionary game theory, a response electricity allocation strategy model for distribution network operators to various aggregators is constructed.The simulation results show that the proposed strategy can reasonably allocate demand response electricity based on the actual capacity of each aggregator, significantly reduce power grid load fluctuations, and improve the operational stability of power system.

Economic Analysis Based on Configuration Optimization of PEM Water Electrolysis Hydrogen Production System

XU Weixuan, CAI Yu, SHI Wenbo, GU Shenghan, LIU Yujiaojian

2025, 0(10):  48-54.  doi:10.16628/j.cnki.2095-8188.2025.10.007

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In order to solve the problems of high investment in water electrolysis hydrogen production projects, the prominent contradiction between the realization of hydrogen production functions and the project yields, and quickly promote the market-oriented application of hydrogen production equipment, it is necessary to carry out the economic research on the configuration optimization of water electrolysis hydrogen production system.The two system configuration modes of a 1 000 Nm³/h proton exchange membrane(PEM) hydrogen production system are analyzed according to three different hydrogen production modes.The hydrogen cost and profitability data before and after the optimization of the hydrogen production system configuration are compared, and the hydrogen production system configuration scheme that meets the project investment conditions is studied.Through the analysis of three hydrogen production models, it can be seen that the income of hydrogen production project is affected by the combination form of hydrogen production systems.After the optimization of hydrogen production system configuration, the cost of levelized hydrogen can be reduced by about 1~2 yuan, and the financial internal rate of return of capital can be increased by about 4 percentage, which can solve the problem of low profitability of hydrogen production project to a great extent.

Research on Economic Optimal Scheduling of Photovoltaic Power Station Coupled with Electrolytic Hydrogen Production System

LIU Junbiao, ZHOU Yiming, JI Zhendong

2025, 0(10):  55-60.  doi:10.16628/j.cnki.2095-8188.2025.10.008

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Hydrogen energy, characterized by its clean nature and high energy density, is a key technical pathway for the large-scale integration of renewable energy and clean energy utilization.To address the economic challenges of photovoltaic(PV)-coupled electrolytic hydrogen production systems, a coordinated operational strategy for optimal power allocation based on varying electricity prices is proposed.Mathematical models for the PV system and the alkaline electrolyzer are developed, and the nonlinear dynamic relationship between the electrolyzer's hydrogen production rate and its power consumption is analyzed.On this basis, with the objective of maximizing total system revenue, the proposed strategy utilizes electricity price differences to dynamically allocate energy between grid sales and electrolytic hydrogen production.The results show that the strategy effectively optimizes power allocation according to electricity prices and PV power output, thereby achieving revenue maximization in different time periods.This work provides technical support for the economic operation of PV-coupled hydrogen production systems.

Detecting & Experiment

Novel Single-Stage Flying Capacitor DC Charging Module

YANG Qixin, MAO Xingkui

2025, 0(10):  61-71.  doi:10.16628/j.cnki.2095-8188.2025.10.009

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Abandoning the DC bus design in the traditional two-stage charging architecture, a novel single-stage flying capacitor DC charging module scheme is proposed.The flying capacitor is used to achieve AC/DC power decoupling and construct a pulsating three-level topology to replace the traditional two-stage structure.The main power conversion and active pulsating power buffering(PBB)functions are integrated into the isolated DC/DC converter—dual-active bridge(DAB)converter, which not only provides isolation between the input and output sides but also effectively reduces voltage stress.Finally, a 1 kW prototype is constructed to validate the theoretical analysis and the feasibility of the design.A simplified topology solution for new energy charging stations is offered, and a reference for the innovative single-stage topologies is provided.

State of Charge Estimation for Lithium-Ion Batteries Combining Fiber Bragg Grating Sensor and Feature Screening

HE Yun, SHENG Wenjuan

2025, 0(10):  72-83.  doi:10.16628/j.cnki.2095-8188.2025.10.010

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Fiber Bragg grating(FBG) sensor is gradually emerging as an innovative solution to enhance the accuracy of state of charge(SOC) estimation for lithium-ion batteries.However, both the positions and the number of strain sensors on the surface of lithium-ion batteries affect the accuracy of SOC estimation.Therefore, a multi-strain feature selection method based on the sequential forward selection(SFS) algorithm is proposed.To address the issue of fluctuations in model generalization ability existing in the SFS algorithm during the feature selection process, the elastic net and leave-one-out cross-validation(LOOCV) mechanisms are introduced to improve the stability of feature selection and the generalization performance of the model.Subsequently, the genetic algorithm-optimized backpropagation neural network(GA-BP) is utilized to estimate the SOC of lithium-ion batteries.Experimental results show that the root mean square error(RMSE) of lithium-ion battery SOC estimation is reduced to 0.635%, the mean absolute error(MAE) is 0.419%, and the coefficient of determination(R²) reaches 0.999 after feature selection.The proposed method provides a solution to the feature selection problem of multi-position FBG strain signals and offers technical reference for high-precision SOC estimation of lithium-ion batteries based on optical fiber sensor.