山东电力技术2024，Vol.51Issue(4)：36-46,11.DOI:10.20097/j.cnki.issn1007-9904.2024.04.004
促进用户负荷特性优化的分时电价机制设计方法
Design Method for Time-of-use Tariff Mechanism to Promote User Load Characteristics Optimization
摘要
Abstract
Under the background of changes in supply and consumption patterns of power system,this paper proposes a design method for a time-of-use(TOU)tariff mechanism to encourage coordination between user and power grid and promote peak-shaving and valley-filling.Based on the analysis of load distribution characteristics for three types of users(industrial,commercial,and residential users),the paper employs the hierarchical clustering method to optimize peak and valley periods for different seasons.By introducing deep valley periods to solve the problem of pricing inaccuracy in the original TOU tariff mechanism.Taking user elasticity and the generation costs as constraint,the paper aims to reduce user electricity costs and widen the peak-to-valley price difference to promote user participation in grid interaction.The paper utilizes the quantum genetic algorithm to solve the optimization problem of TOU pricing periods division.Through case studies,the peak-shaving and valley-filling effects of the improved TOU tariff mechanism were evaluated.The results validate that the proposed mechanism can not only reduce user electricity costs but also effectively shift the load during peak periods,and then alleviate the problem of periodic and seasonal power supply pressure.关键词
分时电价/分层聚类/量子遗传算法/用户弹性/负荷特性Key words
time-of-use tariff/hierarchical clustering/quantum genetic algorithm/user elasticity/load characteristics分类
信息技术与安全科学引用本文复制引用
王坤,李树旭,李俊杰,李知艺..促进用户负荷特性优化的分时电价机制设计方法[J].山东电力技术,2024,51(4):36-46,11.基金项目
国家电网有限公司科技项目(5108-202218280A-2-445-XG). Science and Technology Project of State Grid Corporation of China(5108-202218280A-2-445-XG). （5108-202218280A-2-445-XG）
