电力系统保护与控制2025，Vol.53Issue(8)：130-143,14.DOI:10.19783/j.cnki.pspc.240714
面向用户侧多元灵活性资源功率聚合的配电台区优化运行研究
Optimal operation of distribution substations for aggregating multiple user side flexible resources
摘要
Abstract
The large-scale integration of distributed generation poses challenges to the reliable operation of distribution networks.Proper regulation of multiple user side flexible resources can inject new vitality into the flexible operation of distribution networks.However,traditional centralized control methods in distribution networks are difficult to cope with the energy management and information interaction needs of numerous nodes.This paper proposes an optimal operation method for distribution substation areas focusing on the power aggregation of multiple flexible resources.First,based on Monte Carlo algorithm,this paper aggregates power from flexible controllable resources,such as electric vehicle charging load,air conditioning electric load,interruptible load,and user side energy storage in a multidimensional manner within the substation area.On this basis,models of electric vehicle charging load,air conditioning electric load and interruptible load participating in different types of demand response are established,and a multi-objective coordinated optimization method is proposed that considers both economic efficiency and energy comfort in the operation of the distribution substation area.Finally,an analysis is conducted on a county-level distribution substation area,and the demand response potential of multiple flexible resources is evaluated.The results verify the validity of the established model and proves that the proposed optimal operation method can effectively increase the photovoltaic consumption rate of the distribution network.关键词
配电台区/灵活性资源/功率聚合/需求响应/多目标优化Key words
distribution substation area/flexible resources/power aggregation/demand response/multi-objective optimization引用本文复制引用
陈艳波,张瑞芯,田昊欣,张智..面向用户侧多元灵活性资源功率聚合的配电台区优化运行研究[J].电力系统保护与控制,2025,53(8):130-143,14.基金项目
This work is supported by the National Natural Science Foundation of China(No.U24B2083 and No.52077076). 国家自然科学基金项目资助(U24B2083,52077076) （No.U24B2083 and No.52077076）
中国博士后科学基金面上项目资助(2024M750893) （2024M750893）
国家博士后研究人员计划项目资助(GZC20240463) （GZC20240463）
