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)![]() ![]() ![]() ![]() ![]() |
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)
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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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