应对极温天气电力电量双缺的城市电网日前负荷管理优化  

Day-ahead load management optimization for an urban power grid in extreme temperature conditions with dual power and energy shortages

作　　者：毛雯莹 刘俊勇[1] 许立雄[1] 邓创 张小玲 MAO Wenying;LIU Junyong;XU Lixiong;DENG Chuang;ZHANG Xiaoling(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;Power Emergency Center,State Grid Sichuan Electric Power Company,Chengdu 610094,China;School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]四川大学电气工程学院,四川成都610065 [2]国网四川省电力公司电力应急中心,四川成都610094 [3]电子科技大学机械与电气工程学院,四川成都611731

出　　处：《电力系统保护与控制》2025年第6期15-29,共15页Power System Protection and Control

基　　金：四川省科技计划项目资助(2023YFG0132)。

摘　　要：极端高温天气下,用电需求急剧变化加上一次能源发电能力的下降,导致电力供应能力和电量储备将大幅度减少。针对极端高温天气下电力电量双缺的情况,开展城市电网日前负荷管理优化研究。首先,极端高温天气下居民空调负荷急剧增加,采用激励型需求响应引导居民降低空调功率。考虑不同居民的舒适度需求差异,分析了居民空调负荷可调节潜力。其次,分析了不同负荷管理措施对电力和电量短缺的影响,从经济管理和行政管理两方面建立了极端高温天气下的城市电网负荷管理模型。然后,考虑需求响应的不确定性,并协调电网重构与移动储能接入,构建了二阶段鲁棒优化模型。以最小化居民负荷损失影响和工商业经济损失影响为目标,制定应对电力电量双缺的城市电网日前负荷管理优化策略。最后,通过算例仿真验证了所提优化模型的有效性和可行性。In extreme high-temperature conditions,rapid changes in electricity demand,coupled with a decline in primary energy generation capacity,lead to a significant reduction in both power supply capacity and energy reserve.To address the issue of dual shortages in power and energy when there is extreme heat,an optimization study of day-ahead load management in an urban power grid is conducted.First,considering the sharp increase in residential air conditioning load during extreme heat,an incentive-based demand response strategy is adopted to encourage residents to reduce air conditioning power consumption.Considering the variations in comfort requirements among different residents,the adjustable potential of residential air conditioning load is analyzed.Next,the impact of different load management measures on power and energy shortages is analyzed,and a load management model for an urban power grid in extreme heat conditions is established from both economic and administrative management perspectives.Then,to account for the demand response uncertainty while coordinating grid reconfiguration with mobile energy storage deployment measures,a two-stage robust optimization model is constructed to minimize the impact on residential load losses and industrial-commercial economic losses.A strategy for optimizing day-ahead load management in an urban power grid to address dual power and energy shortages is formulated.Finally,the effectiveness and feasibility of the proposed optimization model are verified by numerical simulation.

关 键 词：极端高温天气 电力电量双缺 需求响应 有序用电 鲁棒优化 

分 类 号：TM7[电气工程—电力系统及自动化]