考虑负荷不确定性的微电网多时间尺度调度策略  

Multi-Time Scale Scheduling Strategy of Microgrid Considering Load Uncertainty

作　　者：徐懂理[1] 徐北硕 高瑞阳 钱俊杰 王舒扬 XU Dong-li;XU Bei-shuo;GAO Rui-yang;QIAN Jun-jie;WANG Shu-yang(School of Electric Power Engineering,Nanjing Institute of Technology,Nanjing 211167,China;Lishui Power Supply Company of State Grid Zhejiang Electric Power Co.,Ltd,Lishui 323000,China)

机构地区：[1]南京工程学院电力工程学院,江苏南京211167 [2]国网浙江省电力有限公司丽水供电公司,浙江丽水323000

出　　处：《电工电气》2024年第8期8-14,共7页Electrotechnics Electric

基　　金：2023年江苏省研究生实践创新计划项目(SJCX23_1206)。

摘　　要：随着分布式能源渗透率增高,微电网内负荷的不确定性及能源响应负荷波动的时间尺度不同为系统灵活调度带来了挑战。电动汽车(EV)因其快速响应能力,合理安排其充放电行为可以有效缓解微电网的供电压力,平滑负荷曲线。在以经济运行最优为目标下,提出一种考虑负荷不确定性及电动汽车资源的微电网多时间尺度调度优化模型。在日前调度阶段,结合需求响应技术以风光消纳最优为目标,优化电动汽车资源的充放电行为,确定各种资源调度安排;在实时调度阶段,负荷预测出现偏差时,将储能电池、电动汽车资源作为灵活性资源,实时滚动,对日前调度计划做出修正。以某一微电网进行仿真验证,结果表明所提模型能实现风光全部消纳,有效减少负荷曲线的峰谷差,提高其应对负荷不确定性的能力。As the permeability of distributed energy increases,the load uncertainty in microgrid and the different time scales of energy response load fluctuation bring challenges to the flexible scheduling of the system.Due to the rapid response ability of electric vehicle(EV),reasonable arrangement of its charge and discharge behavior can effectively alleviate the power supply pressure of microgrid and smooth the load curve.A multi-time scale scheduling optimization model of microgrid considering load uncertainty and EV resources is proposed with the aim of economic operation optimization.In the day-ahead scheduling stage,combined with the demand response technology,the charging and discharging behavior of electric vehicle resources was optimized with the goal of optimizing wind and solar consumption,and various resource scheduling arrangements were determined.In the real-time scheduling stage,when there is a deviation in the load prediction,the energy storage battery and electric vehicle resources are used as flexible resources,which are rolled in real time to make corrections to the dayahead scheduling plan.Finally,the simulation results of a microgrid show that the proposed model can realize the full absorption of wind and scenery,effectively reduce the peak-valley difference of load curve,and improve its ability to cope with load uncertainty.

关 键 词：电动汽车 微电网 需求响应 多时间尺度 负荷不确定性 

分 类 号：TM714[电气工程—电力系统及自动化]