电力系统自动化2016，Vol.40Issue(14)：33-42,10.DOI:10.7500/AEPS20151123004
考虑状态差异性聚类的空调负荷直接负荷控制动态优化方法
Dynamic Optimization Method of Direct Load Control for Air-conditioning Load Considering Status Diversity Clustering
摘要
Abstract
Considering the uncertainty of the initial state and the diversity of parameters of decentralized air ‐conditioning loads participating in regulation , a new clustering method and a dynamic optimization method of direct load control (DLC) applied to massive decentralized air‐conditioning loads are proposed . In the process of clustering , the regulation potential of air‐conditioning is set to be the clustering objective in order to fully utilize its regulation ability based on guaranteeing the operational space of DLC . During the DLC decision procedure , the scheduling error caused by model errors and temperature prediction errors can be corrected by rational selection of optimization cycle . Thus , the reducing power of air ‐conditioning load can perform more agreeably with the dispatching plan , while users comfort requirements are ensured . Finally , the effect of the proposed method on fully releasing the regulation potential of decentralized air‐conditioning loads is verified through simulation cases .关键词
需求响应/空调负荷/负荷代理商/聚类算法/动态优化Key words
demand response/air-conditioning load/load agent/clustering algorithm/dynamic optimization引用本文复制引用
徐青山,吴枭,杨斌..考虑状态差异性聚类的空调负荷直接负荷控制动态优化方法[J].电力系统自动化,2016,40(14):33-42,10.基金项目
国家自然科学基金资助项目（51577028）；中央高校基本科研业务费专项资金资助项目（2242016K41064）。This work is supported by National Natural Science Foundation of China （ No ．51577028） and Fundamental Research Funds for the Central Universities （ No ．2242016K41064）． （）
