中国电机工程学报2017，Vol.37Issue(20)：5829-5839,11.DOI:10.13334/j.0258-8013.pcsee.161886
区域综合能源系统多目标最优混合潮流算法
Multi-objective Optimal Hybrid Power Flow Algorithm for Integrated Local Area Energy System
摘要
Abstract
A multi-objective optimal hybrid power flow algorithm was proposed for multi-objective scheduling and management of the integrated local area energy system (ILAES).Firstly,an energy flow analysis model for the energy center was developed based on the energy hub model.Then,a multi-objective optimal hybrid power flow algorithm was proposed to minimize the operation cost and total emission of the ILAES considering the constraints from unbalanced three-phase electric distribution network,the natural gas network and the energy centers.The proposed multi-objective optimal hybrid power flow algorithm can be further used in the optimal day-ahead scheduling for the ILAES,which considers the ILAES's multiple operation needs in aspects of security,economy and environmental friendliness.Numerical results show that the proposed algorithm can be used in the steady-state analysis of the ILAES and multi-objective optimal scheduling for the ILAES.关键词
区域综合能源系统/能源集线器/多目标最优混合潮流/日前优化调度Key words
integrated local area energy system (ILAES)/energy hub/multi-objective optimal hybrid power flow/optimal day-ahead scheduling分类
信息技术与安全科学引用本文复制引用
林威,靳小龙,穆云飞,贾宏杰,徐宪东,余晓丹..区域综合能源系统多目标最优混合潮流算法[J].中国电机工程学报,2017,37(20):5829-5839,11.基金项目
国家高技术研究发展计划项目(863计划)(2015AA050403) （863计划）
国家自然科学基金项目(51377117,51277128,51677124) （51377117,51277128,51677124）
天津市科技计划项目(13TXSYJC40400).The National High Technology Research and Development of China(863 Program)(2015AA050403) （13TXSYJC40400）
Project Supported by National Natural Science Foundation of China(51377117,51277128,51677124) （51377117,51277128,51677124）
Tianjin Sci-tech Projects of China (13TXSYJC40400). （13TXSYJC40400）
