引用本文:李军徽,张嘉辉,穆钢,葛延峰,严干贵,史松杰.计及负荷峰谷特性的储能调峰日前优化调度策略[J].电力自动化设备,2020,40(7):
LI Junhui,ZHANG Jiahui,MU Gang,GE Yanfeng,YAN Gangui,SHI Songjie.Day-ahead optimal scheduling strategy of peak regulation for energy storage considering peak and valley characteristics of load[J].Electric Power Automation Equipment,2020,40(7):
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计及负荷峰谷特性的储能调峰日前优化调度策略
李军徽1, 张嘉辉1, 穆钢1, 葛延峰2, 严干贵1, 史松杰3
1.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 吉林 132012;2.国网辽宁省电力有限公司,辽宁 沈阳 110006;3.沈阳工业大学 电气工程学院,辽宁 沈阳 110003
摘要:
为了使储能系统达到最优的削峰填谷效果,提出一种计及负荷峰谷特性的储能调峰日前优化调度策略。根据调度日内的负荷曲线,以储能系统的额定容量与额定功率为约束条件,分别计算在调峰过程中所能达到的最高填谷功率线、最低削峰功率线以及与之对应的充放电电量。根据所需的充放电电量差值,在储能系统未动作区间内,以储能系统经济性和负荷峰谷差改善量最优为目标,确定各时刻储能系统的充放电功率,实现充放电电量平衡。分别建立填谷调度模型、削峰调度模型及电量平衡调度模型,并制定相应的调度策略执行流程。构建调度策略评价指标,以某电网的负荷及风电数据为基础验证所提调度策略的有效性。
关键词:  储能  削峰填谷  负荷特性  经济性  优化调度
DOI:10.16081/j.epae.202006012
分类号:TM734
基金项目:国家自然科学基金资助项目(U1766204);国家电网公司科技项目(超大容量电池储能电站并网运行关键技术及应用);2017年吉林省发改委产业创新专项项目(2017C017-2)
Day-ahead optimal scheduling strategy of peak regulation for energy storage considering peak and valley characteristics of load
LI Junhui1, ZHANG Jiahui1, MU Gang1, GE Yanfeng2, YAN Gangui1, SHI Songjie3
1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education(Northeast Electric Power University),Jilin 132012, China;2.State Grid Liaoning Electric Power Company, Shenyang 110006, China;3.School of Electrical Engineering, Shenyang University of Technology, Shenyang 110003, China
Abstract:
In order to achieve the optimal peak load shifting effect of energy storage system, a day-ahead optimal scheduling strategy of peak regulation for energy storage considering peak and valley characteristics of load is proposed. According to the load curve of the scheduling day, the highest valley filling power line and the lowest peak clipping power line that can be achieved during the peak regulation process and the corresponding charging and discharging energy are calculated respectively with the rated capacity and rated power of energy storage system as the constraints. According to the required charging and discharging energy difference, the charging and discharging power of the energy storage system at each moment is deter-mined aiming at the optimization of the energy storage system economy and the load peak-valley difference improvement within the non-operation range of energy storage system, so as to achieve the balance between charging and discharging energy. The valley filling scheduling model, peak clipping scheduling model and energy balance scheduling model are established respectively, and the corresponding scheduling strategy exe-cution process is developed. The evaluation indexes of scheduling strategy are constructed to verify the effectiveness of the proposed dispatching strategy based on the load and wind power data of a power grid.
Key words:  energy storage  peak load shifting  load characteristics  economy  optimal scheduling

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