电力工程技术2025，Vol.44Issue(3)：131-139,9.DOI:10.12158/j.2096-3203.2025.03.012
考虑决策者时长偏好的分时电价时段划分
Time-of-day division of time-of-use electricity tariff considering duration preference of the policymaker
摘要
Abstract
Time-of-day division is an important step in the formulation of time-of-use electricity prices.The minimum and maximum continuous duration in each period have an important impact on the adjustment effect of time-of-use electricity prices.However,at present,previous studies on the time-of-use electricity price division have not taken into account the time preference of the policymaker.The different needs of policynakers for the total duration of the session,the minimum continuous duration of the session,and the maximum continuous duration within the session are considered in this paper.On the basis of cluster analysis,a time-of-use electricity price time division model considering the preference of policymakers is constructed.The proposed model calculates the distance between load values through affiliation function and Euclidean distance,with the objective function of minimizing the total similarity within each cluster.In this paper,the typical daily load data of a region in China is used to verify the rationality and effectiveness of the proposed model.The results show that the proposed method can obtain the time division results that meet the preferences of decision makers.It is found that the clustering analysis of time period using 0-1 integer linear programming is an effective method to solve the problem of policymakers'preference for duration.Under the traditional time-of-use electricity price time division model,the modified load is inconsistent with the time period electricity price.However,the time-of-use electricity price time division model considering the time preference of decision-makers has a significant corrective effect on this phenomenon.关键词
时段划分/分时电价/决策者时长偏好/最小连续时长/最大连续时长/聚类分析Key words
time-of-day division/time-of-use electricity tariff/preference of the policymaker/minimum continuous duration/maximum continuous duration/cluster analysis分类
信息技术与安全科学引用本文复制引用
李艳梅,顾诚凯,任恒君,司戈,李一唯..考虑决策者时长偏好的分时电价时段划分[J].电力工程技术,2025,44(3):131-139,9.基金项目
北京市自然科学基金资助项目(9222028) （9222028）
