内蒙古电力技术2025，Vol.43Issue(5)：16-22,7.DOI:10.19929/j.cnki.nmgdljs.2025.0056
一种考虑季节性分时电价的柔性负荷优化方法
Flexible Load Optimization Method Considering Seasonal Time-of-Use Electricity Price
摘要
Abstract
In order to address user-side load shifting difficulties and poor response effects under time-of-use electricity prices,a flexible load optimization method considering time-of-use electricity price is proposed,which firstly adopts convolutional neural network to expand user data,and then establishes an optimization model by formulating the constraints of economic cost of load transfer out,interruption,and transfer in to optimize the compensation of demand-side loads.Finally,the seasonal time-of-use electricity price scenarios and different contract capacity compensation price scenarios are analyzed by combining the actual data.The experimental results show that the model can effectively reduce the cost of electricity purchase for load aggregators,and adjust the optimization strategy for different scenarios with obvious effects.关键词
分时电价/柔性负荷/需求响应/卷积神经网络Key words
time-of-use electricity price/flexible load/demand response/convolutional neural network分类
信息技术与安全科学引用本文复制引用
李彬,李若松,张雨蒙,周照钒,周颖,陈宋宋..一种考虑季节性分时电价的柔性负荷优化方法[J].内蒙古电力技术,2025,43(5):16-22,7.基金项目
国家电网公司科技项目"支撑重过载台区治理的区域供用电综合预测与智能预警技术研究与应用"(5108-202218280A-2-379-XG) （5108-202218280A-2-379-XG）
