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题名: A genetic algorithm-based hybrid optimization approach for microgrid energy management
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)
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: 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
出版日期: 2015
页码: 1474-1478
收录类别: EI ; CPCI(ISTP)
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
产权排序: 1
WOS记录号: WOS:000380502300269
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17390
Appears in Collections:工业控制网络与系统研究室_会议论文

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Recommended Citation:
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.
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