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A genetic algorithm-based hybrid optimization approach for microgrid energy management
Li HP(李鹤鹏); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li ZW(李忠文)
作者部门工业控制网络与系统研究室
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
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码1474-1478
收录类别EI ; CPCI(ISTP)
EI收录号20161402187632
WOS记录号WOS:000380502300269
产权排序1
ISSN号2379-7711
ISBN号978-1-4799-8730-6
关键词Microgrids Energy Management System Mixed Integer Nonlinear Programming Genetic Algorithm Optimization
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.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17390
专题工业控制网络与系统研究室
通讯作者Li HP(李鹤鹏)
作者单位1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
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GB/T 7714
Li HP,Zang CZ,Zeng P,et al. A genetic algorithm-based hybrid optimization approach for microgrid energy management[C]. Piscataway, NJ, USA:IEEE,2015:1474-1478.
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