电网技术2018，Vol.42Issue(5)：1549-1555,7.DOI:10.13335/j.1000-3673.pst.2017.1972
基于多目标分子动理论的楼宇负荷用电调度优化
Optimal Scheduling of Building Load Electricity Consumption Based on Multi-Objective Molecular Motion Theory
摘要
Abstract
Aiming to ensure electricity economy, comfort and grid side stability in intelligent electricity environment for multi-user daily load scheduling in building, an intelligent building load electricity scheduling strategy based on multi-objective molecular motion theory was proposed. Firstly, according to characteristic of different loads for building users, the building electricity load was classified and a multi-user load electricity scheduling model was built. Secondly, this paper made a multi-objective improvement of molecular motion theory optimization algorithm and introduced the idea of fuzzy congestion decision based on dimension review to get and choose the optimal solution. The improved algorithm increased diversity and distribution of the population, and then used it to carry out multi-objective optimization of multi-user load scheduling model. Finally, according to example simulation and comparative analysis, the proposed optimization strategy can better realize economy and comfort goals of building users' electricity, and achieve effect of stabilizing fluctuation of grid side.关键词
多目标/分子动理论优化算法/自动需求响应/智能用电/负荷调度Key words
multi-objective/optimization algorithm based on molecular motion theory/automatic demand response/intelligent power/load scheduling分类
信息技术与安全科学引用本文复制引用
贾艳芳,易灵芝,李胜兵..基于多目标分子动理论的楼宇负荷用电调度优化[J].电网技术,2018,42(5):1549-1555,7.基金项目
国家自然科学基金(61572416) （61572416）
湖南省自然科学基金(2016JJ5033).Project Supported by National Natural Science Foundation of China (61572416) （2016JJ5033）
Project Supported by National Natural Science Foundation of Hunan Province (2016JJ5033). （2016JJ5033）
