摘要
随着新能源技术的蓬勃发展,传统电网频率控制面临着日益严峻的考验,锂离子电池储能系统协助火电机组参与调频具有良好的发展空间。该文以锂离子电池储能系统辅助火电机组参与自动发电控制(AGC)辅助服务为应用场景,结合“两个细则”中的相关规定编写了AGC辅助服务的考评补偿算法。通过衰退实验搭建相对保守但可靠的电池能量衰退模型。在控制策略上,搭建基于Logistic函数的能量状态(SOE)趋中控制策略和基于评价指标的经济性策略,拟合出储能系统的每日调节模型。最后,针对项目的全寿命周期净收益、投资回收期和投资回报率进行项目经济性分析。该文通过评估投资回收期和投资回报率得到储能系统初始能量配置方案,并对可能产生的政策更新和市场变动进行敏感性分析。利用该经济模型能够得到较为严谨可靠、对政策和市场变化兼容性强的投资方案。
With the vigorous development of new energy technologies,the traditional grid frequency control is facing an increasingly severe test.There is good development space for the lithium-ion battery energy storage system helps the thermal power unit to participate in frequency adjustment.In this paper,the application scenario is the lithium-ion battery energy storage system assists the thermal power unit to participate in the automatic generation control(AGC)auxiliary service.And the evaluation compensation algorithm of the AGC auxiliary service is compiled according to the"two rules".A comparatively conservative but reliable battery energy decay model was established through the decay experiment.About the control strategy,the SOE trend control strategy based on Logistic function and the economic strategy based on evaluation index were built.Operating conditions is used to be simulated to fit the daily adjustment model of the energy storage system.Finally,a project economic analysis is conducted for the project's life cycle net income,investment payback period and return on investment.This paper obtains the initial energy allocation scheme of the energy storage system by evaluating the payback period and return on investment,and provides a sensitivity analysis of possible policy updates and market changes.We can obtain more rigorous and reliable investment solutions having strong compatibility with policy and market changes by using this economic model.
作者
孙丙香
李旸熙
龚敏明
杨洋
梁晖
Sun Bingxiang;Li Yangxi;Gong Minming;Yang Yang;Liang Hui(National Active Distribution Network Technology Research Center Collaborative Innovation Center of Electric Vehicles in Beijing BeijingJiaotong University,Beijing 100044 China;Shanghai CHINT Power Systems Co.Ltd,Shanghai 201614 China;Envision Energy,Shanghai 200051 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2020年第19期4048-4061,共14页
Transactions of China Electrotechnical Society
基金
国家重点研发计划(2018YFB0905304)
国家自然科学基金(51907005,U1664255)资助项目。
关键词
AGC辅助服务
锂离子电池
寿命衰退模型
趋中控制
Logistic函数
经济性分析
Automatic generation control auxiliary service
lithium-ion battery
energy decline model
central control strategy
Logistic function
economic analysis