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高风电渗透率下液流电池储能系统调峰优化控制策略

Optimal Control Strategy of Peak Shaving of Flow Battery Energy Storage System Under High Wind Power Permeability

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[目的]在"双碳"目标背景下,解决高风电渗透率系统建设带来的调峰安全性和经济性问题.[方法]采用电池储能系统削峰填谷的解决方案,提出了一种兼顾技术及经济性的锌溴液流电池(zinc-bromine flow battery,ZBB)储能的调峰优化控制方法.根据实际电池装置,对ZBB储能进行结构解析及数学模型构建.考虑调峰技术性效果,以调峰后的负荷曲线标准差最小为目标函数,提出一种考虑调峰效果的储能双向寻优控制策略.在此基础上,依据电网分时(time of use,TOU)电价政策,以技术性及经济性最优为目标函数,提出一种基于TOU电价机制的储能调峰经济模型,得出储能优化功率时序结果.最后,以东北某地区负荷及风电数据为例,对比验证所提策略的有效性.[结果]所提策略相较于原负荷,在日均负荷峰谷差、峰谷差率指标上分别降低了35.973%和34.205%,在调峰经济性优化方面提高了5.582%,且合并缓解了电网弃风消纳问题.[结论]所提策略在达到一定调峰效果的同时,在其全寿命周期内仍保持较好的调峰经济性.
[Objectives]Under the background of the"dual carbon"target,the safety and economic problems of peak shaving caused by the construction of high wind power penetration system are urgent to be solved.[Methods]By using the solution of peak shaving and valley filling of battery energy storage system,a peak shaving optimization control method for zinc-bromine flow battery(ZBB)energy storage taking into account both technology and economy was proposed.According to the actual battery device,the structure analysis and the mathematical model construction of ZBB energy storage were carried out.Considering the technical effects of peak shaving,and taking the minimum standard deviation of load curve after peak shaving as the objective function,a bidirectional optimization control strategy for energy storage considering peak shaving effects was proposed.On this basis,according to the time of use(TOU)policy of the power grid,taking the technical and economic optimization as the objective function,an economic model of energy storage peak shaving based on the TOU price mechanism was proposed,and the optimal power timing results for energy storage were obtained.Finally,taking the load and wind power data of a certain area in Northeast China as an example,the effectiveness of the proposed strategy was verified by comparison.[Results]Compared with the original load,the proposed strategy reduces the daily average load peak-valley difference and peak-valley difference rate by 35.973%and 34.205%,respectively,and improves the peak shaving economic optimization by 5.582%.In addition,the problem of wind curtailment in the power grid is alleviated.[Conclusions]The proposed strategy achieves a certain peak shaving effect while maintaining a good peak shaving economy throughout its life cycle.

energy storagewind powerflow batterypeak shavingbidirectional optimizationoptimal control

李军徽、陈国航、马腾、李翠萍、朱星旭、贾晨

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现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012

国网山东省电力公司超高压公司,山东省 济南市 250118

国网辽宁省电力有限公司电力科学研究院,辽宁省 沈阳市 110006

储能 风电 液流电池 调峰 双向寻优 优化控制

国家电网科技项目

5108-202299257A-1-0-ZB

2024

发电技术
华电电力科学研究院

发电技术

CSTPCD
影响因子:0.388
ISSN:2096-4528
年,卷(期):2024.45(3)