考虑火–储深度调峰容量二次分配的含风电电力系统分层优化调度  

Hierarchical Optimal Scheduling of Power Systems With Wind Generation Considering Secondary Allocation of Thermal-storage Deep Peaking Capacity

作　　者：崔杨[1] 修志坚 薄利明 刘新元 赵钰婷 郑惠萍 CUI Yang;XIU Zhijian;BO Liming;LIU Xinyuan;ZHAO Yuting;ZHENG Huiping(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University),Ministry of Education,Jilin 132012,Jilin Province,China;State Grid Shanxi Electric Power Research Institute,Taiyuan 030001,Shanxi Province,China)

机构地区：[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),吉林省吉林市132012 [2]国网山西省电力科学研究院,山西省太原市030001

出　　处：《电网技术》2022年第7期2520-2530,共11页Power System Technology

基　　金：国家自然科学基金项目(51777027);国家重点研发计划项目(2019YFB1505400)。

摘　　要：风电并网容量的不断增加加剧了电力系统调峰负担,导致电网对调峰辅助服务及系统灵活性需求日益增加。在最大限度消纳风电的前提下,建立了考虑火–储深度调峰容量二次分配的含风电电力系统分层优化调度模型。优化模型包含上、中、下3层,上层采用电价响应对用电负荷进行优化,使其跟随风电出力态势以降低电力系统深度调峰容量;中层以风–火–储整体经济性最优为目标,得到优化后的电池储能电站(battery energy storage power station,BESPS)与火电深度调峰机组承担的调峰容量;下层基于优化风电后的深度调峰容量,以统一边际出清价格结算的购电费用最低为目标,对火电深度调峰机组与储能电站的调峰容量进行二次分配,从而确定日前调度最优出清计划。在改进的IEEE30节点中进行仿真验证,结果表明,所提优化方法在提高深度调峰机组调峰积极性的同时能够降低电网调峰资源购买成本。The increasing capacity of wind power integration aggravates the burden of peak regulation in the power system,resulting in increasing demands for the peak regulation auxiliary services and the system flexibility.Under the premise of maximizing the consumption of wind power,a hierarchical optimal scheduling model of the power system with wind power is established considering the secondary distribution of peaking capacity of fire-storage deep regulation.The optimization model includes the upper,the middle and the lower layers.The upper layer optimizes the power load with the electricity price response,so that it follows the wind power output situation to reduce the deep peak regulation capacity of the power system.In the middle layer,the peak regulation capacity of the optimized battery energy storage power station(BESPS)and the thermal power deep peak regulation unit is obtained by taking the overall economy of the wind-fire-storage system as the goal.Based on the deep peak regulation capacity after the optimization of wind power,the lower level takes the minimum purchase costs of the unified marginal clearing price settlement as the goal to allocate twice the peak regulation capacity of the thermal power deep peak regulation units and the energy storage power station,so as to determine the optimal clearing plan of the day-ahead scheduling.The simulation results in the improved IEEE30 node show that the proposed optimization method has the ability to improve the peak regulation enthusiasm of the deep peak regulation units and reduce the purchase costs of the peak-regulation resources.

关 键 词：深度调峰 电价响应 电池储能电站 分层优化 日前出清 

分 类 号：TM721[电气工程—电力系统及自动化]