Table of Content

30 May 2020, Volume 0 Issue 5

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Overview

Development Situation and Technology Trend of Grid-Side Energy Storage

LI Jianlin, TAN Yuliang, ZHAO JIN, WANG Nan

2020, 0(5):  1-6.  doi:10.16628/j.cnki.2095-8188.2020.05.001

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With the high penetration of new energy sources and the rapid development of UHV power grids,grid security issues such as system fluctuations are becoming increasingly serious.The grid needs to build a high-proportion,ubiquitous,and wide-area collaborative energy storage form.Therefore,the technical research on the application of energy storage on the grid side is of great significance.The demand for grid-side energy storage domestic and foreign policies and attitudes on grid-side energy storage were analyzed.It provides suggestions and prospects for solving such problems in the future.

Impact of User-Side Energy Storage on Power Grid and Economic Analysis

HUANG Bowen, PAN xuan, PENG xueying, REN Shengnan, ZHOU Renjun

2020, 0(5):  7-13.  doi:10.16628/j.cnki.2095-8188.2020.05.002

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User-side energy storage technology can effectively solve the problem of large-scale access to renewable energy,and is an important way to achieve power peak clipping and valley filling.Therefore,it is necessary to conduct in-depth research on the impact and economics of user-side energy storage on the power grid,so as to be able to deal with user-side energy storage investment,development,and construction layout.The impact of user-side energy storage on the power grid and power market from various aspects was analyzed.The recommendations for the development of user-side energy storage were made.The driving force of user-side energy storage development lies in its economics.However,the current economic analysis of user-side energy storage generally focuses on its overall economics,and no targeted analysis is performed for different types of users.The power consumption of different types of typical users were analyzed to study the economics and potential of different types of users to configure energy storage.

Research & Analysis

Economy Evaluation of Energy Storage System Participating in Power System Frequency Modulation

XIE Zhijia, WANG Jiarui, LI Dexin, MENG Tao

2020, 0(5):  14-20.  doi:10.16628/j.cnki.2095-8188.2020.05.003

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Based on the energy storage system involved in the economic evaluation of power frequency modulation (FM),the efficiency comparison between energy storage system and conventional units was made.This paper proposed an economic evaluation model of energy storage systems,optimal allocation of economic optimum capacity,economy evaluation method of energy storage systems in power frequency modulation,the energy storage system equivalent life calculation method based on the rain flow count method as well as the energy storage system with conventional FM power supply efficiency comparison method.From the multiple perspectives,the high efficiency of the energy storage system participating in electric power primary frequency control was verified.

Power Allocation of Hybrid Energy Storage System Based on Ensemble Empirical Mode Decomposition

ZHENG Xidong, JIANG Xiubo

2020, 0(5):  21-27.  doi:10.16628/j.cnki.2095-8188.2020.05.004

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Based on the adaptive ensemble empirical mode decomposition (EEMD),the new method was proposed to reduce the wind power fluctuation.Firstly,the order with the largest difference of the energy entropy of the intrinsic mode function was calculated by the information entropy theory.And then,the order with the lowest self-similarity was calculated by the sample entropy theory.At last,the power distribution of the hybrid energy storage system was modified by the theory of fuzzy control optimization.The results show that the proposed strategy can adaptively realize the reasonable power distribution and grid-connected power smoothing.And the hybrid energy storage system works in the reasonable range of the state of charge,which effectively improves the system stability and service life.

Reliability Evaluation of Wind-Storage Power Generation Systems Based on Monte Carlo Simulation

YUAN Mingfei, ZHAO Fengzhan, WANG Shutian, TANG Yunfeng, SU Juan, HAO Shuai

2020, 0(5):  28-34.  doi:10.16628/j.cnki.2095-8188.2020.05.005

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Based on the reliability evaluation of power generation system with wind storage system,the random characteristics of wind farm output and energy storage system output was studied.The wind turbine power timing model and the wind farm-energy storage system reliability assessment model were established.According to the autoregressive moving average model of wind speed prediction,the output power of wind turbine was obtained.Then based on the state model of conventional unit,the reliability model of wind storage power generation system based on sequential Monte Carlo simulation was established.The contribution coefficient of wind power and energy storage to the expected value of power supply interruption and the reliability impact of the energy storage system accessing to the wind farm power generation system.Finally,the IEEE-RBTS improved system was evaluated by the proposed model and algorithm.The influence of wind farm on power supply reliability evaluation of power generation system was briefly discussed.The results of the example show that the wind farm and energy storage system connected to the power generation system can effectively improve the power supply reliability of the power generation system.

Research on Impact of Energy Storage System on Small Signal Stability of Power System

RAO Yufei, CAO Xiaolu, YANG Haijing, HE Ping, LI Zhao, MA Tao

2020, 0(5):  35-43.  doi:10.16628/j.cnki.2095-8188.2020.05.006

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According to the situation of energy storage system connected to the interconnected power grid,the impact on the small signal stability of the power system was studied from multiple perspectives.The topological structure and mathematical model of the energy storage module were constructed,including power decoupled control,state of charge calculation,current limit link and voltage ride-through model.The interconnection system model with energy storage system was established,the influences of transmission distance of energy storage power stations,power of interconnected systems,grid connection points,and grid storage capacity,as well as the power system stabilizers on the small signal stability and low frequency oscillation characteristics of power system were studied by the eigenvalue analysis and time-domain simulation methods.Finally,through simulation analysis of transmission line from Shihe to Chunshen in Henan power grid,the effects of energy storage in improving the small signal stability of the power system are validated.

Forecast and Uncertainty Analysis of Lithium-ion Batteries SOC Based on LSTM-NPKDE

LI Wenqi, GAO Dongxue, LI Zhaohui, RAO Yufei, GU Bo

2020, 0(5):  44-50.  doi:10.16628/j.cnki.2095-8188.2020.05.007

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A forecast method of the state of charge (SOC) of lithium-ion battery based on the long-short term memory (LSTM) network was proposed.The SOC of lithium-ion battery was forecasted by taking the charge-discharge current and voltage of lithium-ion battery as model inputs.The results show that the forecasting accuracy of LSTM network is higher than that of BP neural network,BP-PSO hybrid model and wavelet neural network (WNN).The nonparametric kernel density estimation (NPKDE) method was used to calculate the confidence interval of the SOC forecast of lithium-ion batteries.The calculation results show that the confidence interval based on NPKDE can accurately calculate the uncertainty of the SOC forecast of lithium-ion batteries at different confidence levels.

Research on SOC Estimation Method of Lithium Battery Based on Extended Kalman Filter and Capacity Calibration

PENG Xiangyuan, TANG Chuanyu, SUN Jinlei, LIU Zhao

2020, 0(5):  51-56.  doi:10.16628/j.cnki.2095-8188.2020.05.008

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To accurately estimate the state of charge (SOC) of lithium battery,the Thevenin equivalent circuit model was selected,the OCV-SOC curve was fitted by piecewise linearization,and the SOC estimation method based on extended Kalman filter (EKF) and capacity calibration was adopted.The state space equation of the battery was established.Considering the aging factors of the battery,the total capacity was calibrated by the method of combining SOC estimation and ampere-hour integration.The simulation and experimental verification were carried out under the federal urban driving sechedule operating condition.The results show that the SOC estimation error of the proposed scheme is within 2.1%.

Research on Model Simulation for High Current-Rate Charge/Discharge of LiFePO₄ Lithium-ion Batteries

LIU Qianqian, ZHAO Yanben, LÜ Chao

2020, 0(5):  57-61.  doi:10.16628/j.cnki.2095-8188.2020.05.009

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To solve the problem that the existing models of LiFePO₄ lithium-ion batteries have low accuracy when simulating the high current rate charge/discharge properties,this paper revised the key electrochemical reaction coefficient of a simplified electrochemical model according to the current rate.The revised model corrects the terminal voltage platform deviations caused by the intensified internal electrochemical reaction,and realized accurate simulation of the terminal voltage during high current rate charge/discharge.Moreover,the revised model is experimentally verified on a 45 Ah cylindrical LiFePO₄ lithium-ion battery.

Energy Storage Technology

Development of Controller Hardware in Loop Simulation Platform for Photovoltaic and Energy Storage DC Micro-Grid

SHEN Hua, CHEN Geliang, LIN Lin, ZHANG Xiaolin

2020, 0(5):  62-66.  doi:10.16628/j.cnki.2095-8188.2020.05.010

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Based on the controller hardware in loop simulation technology of RT-LAB,a development scheme of photovoltaic DC micro grid simulation platform with multi controller hardware in loop was proposed.Based on FPGA simulation and EHS modeling technology,a multi time scale hardware in loop simulation model including photovoltaic array model,energy storage battery model,DC/DC converter model and power grid interface device model was established.Three sets of physical interface circuits between real controller and RT-LAB simulator were constructed to realize the signal docking of physical I/O interface.The platform model and physical interface circuit were used to test the micro grid system.The results can fully reflect the real operation characteristics of the tested system and verify the correctness of the platform.

Study on Optimal Configuration Scheme of User-Side Battery Energy Storage System

YAN Peng, WANG Kun, HE Kai

2020, 0(5):  67-71.  doi:10.16628/j.cnki.2095-8188.2020.05.011

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Firstly,the principles to be followed for energy storage optimization were given,and then the optimal energy storage configuration was studied from the two aspects of energy storage configuration model optimization and operation optimization.In view of the economic benefit evaluation of energy storage project,the energy storage cost model and benefit model were established respectively.By analyzing the impact of energy storage charge and discharge times and charge and discharge depth on the energy storage life,the peak-load and frequency-modulated operation benefit models were presented.Based on one industrial park energy storage project,the economic analysis of three kinds of battery energy storage system was carried out.The results show that under the condition of energy storage technology at present,all kinds of the cost of battery energy storage system are relatively high.The user-side battery energy storage system investment income in the short term is not obvious.But for the whole life cycle of energy storage system after operation,each income is quite remarkable.

Optimal Scheduling of Hydrogen Energy Storage System Considering Random Characteristics of Wind Power Output

HUANG Tao, XU Zhipeng, GE Le

2020, 0(5):  72-77.  doi:10.16628/j.cnki.2095-8188.2020.05.012

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Based on the hydrogen energy storage system (HESS) with large scale wind power,a pre-optimization model to minimize system operation cost considering wind energy uncertainty,stochastic safety constraint unit combination and demand response was proposed.The results of an improved 6-bus system and a 24-bus system show that if the impact of both hydrogen energy storage integrated energy system and demand response on power dispatching is considered,the amount of abandoned air and daily operating costs are reduced.

Research on Compensation Mechanism of Energy Storage Participating in Auxiliary Services and Operation of Multi-Business Model

WEI Jiarui, JIANG Yuewen

2020, 0(5):  78-85.  doi:10.16628/j.cnki.2095-8188.2020.05.013

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As a flexible resource,the energy storage system is applied in all aspects of auxiliary services in power systems.However,the current market mechanism for energy storage participating in auxiliary market is not complete,which hinders the commercial development of energy.To overcome this problem,a compensation mechanism for energy storage to participate in peak shaving and frequency regulation was proposed.Firstly,based on the cost of energy storage participating in peak shaving,a step-wise compensation mechanism considering the cycle depth was proposed.Based on the cost of capacity and mileage,a two-part compensation mechanism of frequency regulation considering the opportunity cost was proposed.Then,under the compensation,a multi-business operation strategy of energy storage was proposed,and the energy storage was used in peak shaving,frequency regulation,electricity price arbitrage to reduce the idle time of energy and improve utilization.The simulation analysis shows that the proposed multi-business application model can increase the revenue of energy storage effectively.

Study on Economic Evaluation Model of User-Side Energy Storage Scheme Based on Cost Analysis

SONG Yuanjun, HE Kai, SHI Jinyong, KE Huimin

2020, 0(5):  86-90.  doi:10.16628/j.cnki.2095-8188.2020.05.014

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In view of the large amount of energy storage battery in the power system,especially the increase in the user-side,it is very important to reduce the return time under the premise of reducing the investment cost.The economic evaluation and analysis of the user-side energy storage scheme were carried out.The investment cost,operation cost,power demand management income,peak valley arbitrage income,frequency modulation service income and demand response income were analyzed respectively.Combined with the current peak valley load change curve in Jiangsu province,two kinds of energy storage income were proposed through the daily charging and discharging times of energy storage and whether or not to participate in the enterprise load curtailment service.At the same time,the total economic evaluation model of the two energy storage schemes was obtained.Taking the energy storage equipment of an enterprise as an example,the economic evaluation was carried out,and the results of income comparison under the two energy storage schemes were obtained.The research results have certain guiding significance for the current commercial investment of energy storage equipment.

Monitoring and Management Technical Research for Battery Energy Storage

XUE Zhong, DONG Bei, DING Yi, ZHANG Yao

2020, 0(5):  91-95.  doi:10.16628/j.cnki.2095-8188.2020.05.015

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Based on the monitoring system of battery energy storage is the key part of battery energy storage technology.A battery energy storage monitoring system was presented,which can monitor the voltage and temperature of the battery in real time through the visual human-computer interface,manage authority,protect and control actions such as battery access and connection,can regularly analyze and summarize battery performance indicators,and can support IEC 61850 EMS and PCS power conversion.It is proved that the system can obviously improve the control efficiency of battery energy storage,improve human-computer friendliness and reduce the cost of manpower.

Design of Gas Detection and Warning Device for Power Battery Energy Storage System

WU Min, YAN Huixin, ZHAO Yuwei, LI Jianyong, SUN Jinlei

2020, 0(5):  96-99.  doi:10.16628/j.cnki.2095-8188.2020.05.016

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The safety accident of lithium-ion battery system frequently occurred,however the gas detection in most electrochemical battery energy storage systems is lacking.A gas detection and warning device in power battery energy storage system based on single chip microcomputer STM32F103 was proposed.And MQ series gas sensors were used to detect the concentration of harmful gases that may be released by lithium ion batteries.The internal ADC of the single-chip microcomputer was used to realize analog-digital conversion and set relevant thresholds in conjunction with the acousto-optic alarm circuit to realize acousto-optic alarm,so as to effectively detect the occurrence of gas emission warning accidents.

Design of Battery State Information Acquisition System Based on 4G Wireless Communication

ZHANG Yuhan, LI Ruoyu, JIANG Chuan, LIU Zhao, SUN Jinlei

2020, 0(5):  100-105.  doi:10.16628/j.cnki.2095-8188.2020.05.017

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As an ideal energy storage carrier,lithium-ion batteries are widely used in various fields,especially to provide convenience for remote areas.However,lithium batteries have a service life,and their operating status is related to the stable operation of power supply equipment.So,real-time remote acquisition of status information has become an urgent problem.A battery status information collection system based on 4G wireless communication was proposed.Battery information collection is achieved through a single-chip computer and integrated chip,combined with 4G modules for remote transmission,and the remote reading of data is achieved by using Alibaba Cloud platform.The experimental results show that the designed system can realize the status information collection,wireless transmission and real-time display of 6 single-cell batteries.This system is beneficial to analyze the working status of the battery and facilitates regular maintenance by technicians.

Research on On-line Parameter Idenpngication Method of Lithium-ion Hybrid Capacitor

YUE Wei, HUANG Yuqiang, XU Jianing, ZHU Chunbo, LI Xiaoyu

2020, 0(5):  106-110.  doi:10.16628/j.cnki.2095-8188.2020.05.018

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In order to ensure the safety and reliability during use of the lithium-ion hybrid capacitor,it is necessary to monitor and manage its operation process.In this process,modeling and parameter idenpngication methods are indispensable.In this article,the 2nd-order RC equivalent circuit model of the Thevenin’s equivalent circuit model was used for capacitor’s dynamic performance modeling.A method for idenpngying the parameters of a lithium-ion hybrid capacitor model based on a recursive least square method with forgetting factor is given,which realized the on-line idenpngication of its open-circuit voltage,ohmic internal resistance,and polarization internal resistance.The work can provide basic method and reference for the state estimation and life prediction of lithium-ion hybrid capacitor.