中国电力2026，Vol.59Issue(6)：89-100,12.DOI:10.11930/j.issn.1004-9649.202506029
基于多时间尺度组合代理购电复盘的省内优化决策技术
Provincial optimal decision-making technology based on multi-time-scale combined agent power purchase review
摘要
Abstract
With the advancement of electricity market reform,industrial and commercial users will gradually enter the market,while the users not yet entering the market will purchase electricity through agents from grid companies.As key entities in agent-based electricity purchase,grid companies play a significant role in coordinating electricity purchases across multi-time-scale markets to reduce purchase costs,which is crucial for their operational efficiency.This study outlines the workflow of agent power purchase for power grid companies and establishes an annual power purchase decision review and optimization model that considers annual,monthly,and spot markets.The model is solved using the genetic algorithm and convolutional neural network(CNN)-long short-term memory network(LSTM)-attention mechanism(Attention),and the model's effectiveness is verified through case studies.The review results show that adjusting the power purchase ratio between the medium and long-term market and the spot market can effectively achieve cost reduction and efficiency improve-ment of power purchase strategies.关键词
电力市场/曲线分解/代理购电/购电策略/交易复盘Key words
electricity market/curve decomposition/agent power purchase/purchase strategy/transaction review引用本文复制引用
李彬,李若松,孟子轩,张雨蒙..基于多时间尺度组合代理购电复盘的省内优化决策技术[J].中国电力,2026,59(6):89-100,12.基金项目
This work is supported by National Natural Science Foundation of China(No.52177082). 国家自然科学基金资助项目(52177082). （No.52177082）
