考虑不确定性的新型电池充换电站多时间尺度能量管理策略  

Multi-time Scale Energy Management Strategy of Novel Battery Charging and Swapping Station Considering Uncertainties

作　　者：赵显秋 徐青山[1,2] 杨永标 周赣 ZHAO Xianqiu;XU Qingshan;YANG Yongbiao;ZHOU Gan(School of Electrical Engineering,Southeast University,Nanjing 210096,Jiangsu Province,China;Nanjing Center for Applied Mathematics,Nanjing 211135,Jiangsu Province,China)

机构地区：[1]东南大学电气工程学院,江苏省南京市210096 [2]南京应用数学中心,江苏省南京市211135

出　　处：《电网技术》2025年第3期1007-1017,I0051,共12页Power System Technology

基　　金：江苏省重点研发计划项目(No.BE2020688)。

摘　　要：在考虑不确定性的基础上,提出了包含燃气轮机、储能、电池充放电设备、风电、光伏的新型电池充换电站多时间尺度能量管理策略。首先基于荷电状态(state of charge,SOC)区间对电池进行了建模,并将其充电和放电优先级嵌入到优化中。然后,分别建立了日前分布鲁棒优化、日内滚动优化和日内实时优化模型:日前优化在考虑风电、光伏和负荷的预测误差的基础上,以最小期望总成本优化燃气轮机的启停状态、电池充放电设备的功率和储能的能量参考值,并基于线性决策规则和对偶理论转化为混合整数规划进行求解;日内优化根据日前优化的参考值和最新的预测信息,以总运行成本最低重新优化燃气轮机和储能的功率;实时优化根据日内滚动优化的参考值和实时的预测信息,以总运行成本最低再次重新优化燃气轮机和储能的功率,并将第一个控制时段的指令下发。最后,算例结果表明所提出的多时间尺度能量管理策略能有效地兼顾新型电池充换电站的运行经济性和鲁棒性。On the basis of considering uncertainties,a multi-time scale energy management strategy including gas turbine,energy storage,battery charging and discharging equipment,wind power,and photovoltaic is proposed for a novel battery charging and swapping station.Firstly,the battery is modeled based on the SOC(state of charge)interval,and its charging and discharging priorities are embedded in the optimization.Then,the day-ahead distributionally robust optimization,intraday rolling optimization and intraday real-time optimization models are established.On the basis of considering the prediction errors of wind power,photovoltaic and load,the day-ahead optimization optimizes the start-stop state of the gas turbine,the power of the battery charging and discharging equipment and the energy reference value of energy storage at the minimum expected total cost,and is transformed into a mixed integer programming based on the linear decision rule and duality theory for solving;the intraday optimization re-optimizes the power of gas turbines and energy storage with the lowest total operating cost based on the reference values of the previous optimization and the latest forecast information;the real-time optimization re-optimizes the power of gas turbines and energy storage again with the lowest total operating cost based on the reference values of intraday rolling optimization and real-time forecast information,and issues instructions for the first control period.Finally,the numerical results demonstrate that the proposed multi-time scale energy management strategy can effectively take into account the economy and robustness of the novel battery charging and swapping station.

关 键 词：电池充换电站 不确定性 多时间尺度 分布鲁棒优化 

分 类 号：TM721[电气工程—电力系统及自动化]