中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A genetic algorithm-based hybrid optimization approach for microgrid energy management

文献类型:会议论文

作者Li HP(李鹤鹏); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li ZW(李忠文)
出版日期2015
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
关键词Microgrids Energy management system Mixed integer nonlinear programming Genetic algorithm Optimization
页码1474-1478
中文摘要This paper proposes a novel Meta-heuristic based hybrid optimization method for Microgrid energy management system. First, microgrid energy management problem is modeled as a mixed integer nonlinear programming with the consideration of quadratic fuel cost of distributed generators and their startup/shut-down states. In order to obtain a favorable solution, a hybrid solution procedure combined quadratic programming and genetic algorithm is proposed to solve the problem. Then, the proposed method is verified via numerical simulation. Through the comparison of optimization result with IBM ILOG CPLEX Optimizer, simulation shows that the proposed algorithm has the advantage of finding better scheduling solution which leads to less operating cost.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号2379-7711
ISBN号978-1-4799-8730-6
WOS记录号WOS:000380502300269
源URL[http://ir.sia.cn/handle/173321/17390]  
专题沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Li HP,Zang CZ,Zeng P,et al. A genetic algorithm-based hybrid optimization approach for microgrid energy management[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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