摘要
随着我国新型电力系统建设不断加快,售电侧改革不断深入,零售市场竞争日趋激烈,大电量互动用户作为用电规模较大的市场主体,在购电决策时需要制定合理的策略,以实现利益最大化。基于改进的灰狼优化算法提出了购电优化决策模型。首先,从绿电消纳权责、临时用电需求、可控用电计划和总电费最低化等方面对购电决策合理设计;然后,基于组合不同的零售套餐,构建了改进的灰狼优化算法对购电决策模型进行迭代求解出最优策略。算例的结果表明此购电策略的有效及合理性,可以有效释放电力体制改革红利。
As China’s novel power system construction is continuously accelerating,the reform on the electricity sales side continues to deepen,and the competition in the retail market has become increasingly fierce.As a market entity with a large scale of electricity consumption,large-scale interactive users need to formulate reasonable strategies when making power purchase decisions to maximize benefits.This paper proposes an optimization model for power purchase decisions based on the improved gray wolf optimization algorithm.Firstly,reasonable design of power purchase decisions is carried out from the aspects of green electricity consumption rights and responsibilities,temporary electricity demand,controllable electricity plans,and minimization of total electricity bills.Then,based on the combination of different retail packages,an improved grey wolf optimization algorithm is constructed to iteratively solve the optimal strategy for the power purchase decision model.The results of the example show the effectiveness and rationality of this power purchase strategy,which can effectively release the dividends of power system reform.
作者
冯迎春
陶力
刘敦楠
范洁
高博
刘胥雯
Feng Yingchun;Tao Li;Liu Dunnan;Fan Jie;Gao Bo;Liu Xuwen(Jiangsu Electric Power Trading Center Co.,Ltd.,Nanjing 210008,China;North China Electric Power University,Beijing 100096,China;Beijing Kedong Electric Power Control System Co.,Ltd.,Beijing 100194,China)
出处
《电子技术应用》
2024年第10期69-75,共7页
Application of Electronic Technique
基金
国网江苏省电力有限公司项目(SGJS0000JYWT2200221)。
关键词
购电策略
零售套餐
绿电消纳
需求响应
灰狼优化
power purchase strategy
retail package
green power consumption
demand response
gray wolf optimization
