考虑日历寿命的电池储能系统参与一次调频服务配置容量与控制参数协同优化
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  • 英文篇名:Optimization of Deployment with Control for Battery Energy Storage System Participating in Primary Frequency Regulation Service Considering Its Calendar Life
  • 作者:温可瑞 ; 李卫东 ; 韩松 ; 晋萃萃 ; 赵云丽
  • 英文作者:WEN Kerui;LI Weidong;HAN Song;JIN Cuicui;ZHAO Yunli;School of Electrical Engineering,Dalian University of Technology;Jilin Electricity Trading Center Co.,Ltd.;School of Information Engineering,Dalian Ocean University;
  • 关键词:电池储能系统 ; 一次调频 ; 容量配置 ; 协同优化 ; 日历寿命 ; 循环寿命 ; 净现值
  • 英文关键词:battery energy storage system;;primary frequency regulation;;capacity deployment;;collaborative optimization;;calendar life;;cycling life;;net present value
  • 中文刊名:GDYJ
  • 英文刊名:High Voltage Engineering
  • 机构:大连理工大学电气工程学院;吉林电力交易中心有限公司;大连海洋大学信息工程学院;
  • 出版日期:2018-08-25 15:07
  • 出版单位:高电压技术
  • 年:2019
  • 期:v.45;No.320
  • 基金:国家自然科学基金(51677018);; 国家电网公司科技项目(2018ZX-14)~~
  • 语种:中文;
  • 页:GDYJ201907020
  • 页数:9
  • CN:07
  • ISSN:42-1239/TM
  • 分类号:176-184
摘要
对于一次调频辅助服务市场下的电池储能系统(BESS)投资规划,依据固定寿命或循环寿命粗略表征电池性能衰退会造成配置效果出现偏差,从而难以实现净收益最大化。给出了兼顾调频功率需求及荷电状态(SOC)精细化管理的BESS运行控制策略,从储能电池容量衰减的角度提出了电池日历寿命预测方法,建立了以全寿命周期净现值最大化为目标的BESS配置容量与控制参数协同优化模型。算例结果验证了所提出模型的可行性和有效性,依据日历寿命预测方法能够更为准确地评估一次调频场景下的电池使用寿命,据此得到的投资净收益更为准确合理。相关研究能够为BESS参与一次调频服务的规划及运行等提供理论依据。
        For the investment and planning of battery energy storage system(BESS), allocation effect deviation may be caused when fixed life or cycling life is used to roughly characterize battery performance degradation under ancillary service market of primary frequency regulation, and it is difficult to maximize net income. we proposed a strategy for operation and control of BESS, which integrated power requirements of frequency regulation and delicacy management about state of charge(SOC). A methodology for prediction of battery calendar life was presented from the perspective of capacity degradation. A coordination optimization model between configuration capacity and control parameters was built for BESS to realize the maximum net present value(NPV) of total life cycle. The results of numerical examples validate the feasibility and effectiveness of proposed model. According to the methodology of calendar life prediction, the battery life and net investment income can be evaluated more accurately and properly under the application background of primary frequency regulation. Relevant research can provide a theoretical basis in planning and operation for BESS to participate in primary frequency regulation service.
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