电力科技与环保2026，Vol.42Issue(2)：308-320,13.DOI:10.19944/j.eptep.1674-8069.2026.02.013
售电商多元电力市场购电策略研究
Power purchase strategies in diversified electricity markets for electricity sellers
摘要
Abstract
[Objective]To address the coordinated optimization of electricity procurement and sales for retailers in diversified electricity markets and achieve a balance between revenue and risk,this study proposes an effective decision optimization model.[Methods]This research develops a diversified market procurement framework covering medium-and long-term contracts,spot markets,green electricity,distributed generation,and energy storage leasing.It designs two basic retail packages:a fixed single electricity price and a time-of-use price.An expected revenue model for the electricity retailer,considering the user selection ratio,is established.By introducing the Conditional Value at Risk method to quantify market risks,a multi-objective decision optimization model aiming at profit maximization and risk minimization for the retailer is constructed.An improved Whale Optimization Algorithm with an adaptive convergence mechanism is employed for efficient solution.[Results]Case study results show that compared to the original algorithm,the proposed improved Whale Optimization Algorithm converges faster and offers higher optimization precision,resulting in a final robust total profit that is 412,000 yuan higher.When the proportion of users on the time-of-use price package ∂=0.2,the retailer achieves the optimal Conditional Value at Risk,with a risk preference factor ρ=5.5,matching a medium-risk procurement strategy.Analysis of the procurement structure reveals that medium-and long-term contracts and green electricity contracts form the stable core of the procurement portfolio.Distributed generation transactions serve as an important flexible supplement,while spot market and energy storage leasing transactions account for very low proportions,reflecting a refined balance between cost and risk.[Conclusion]These results verify the effectiveness of the proposed model and provide the following decision-making basis for the refined operation of electricity retailers:it is recommended that retailers prioritize building a robust procurement structure based on long-term contracts,actively implement demand response policies while ensuring their own profit maximization,and proactively guide users to optimize their package selection structure towards the golden ratio.关键词
多元电力市场/售电商/零售套餐/条件风险价值/鲸鱼优化算法Key words
multiple electricity markets/electricity sales/retail packages/conditional value-at-risk/whale optimization algorithm分类
能源科技引用本文复制引用
刘子健,陈佳微,包丰硕,朱一铭..售电商多元电力市场购电策略研究[J].电力科技与环保,2026,42(2):308-320,13.基金项目
国家自然科学基金项目(42206225) （42206225）
