Optimal siting and sizing of DGs for microgrid based on improved MMAS algorithm

被引：0
作者：
Wang, Jing [1 ]
Wang, Xuefeng [1 ]
Wang, Xiaojie [1 ]
Chen, Jiangbin [2 ]
Wang, Zongli [3 ]
Chen, Junyu [1 ]
机构：
[1] College of Information Engineering, Zhejiang University of Technology, Hangzhou
[2] School of Electronics and Information Engineering, Tongji University, Shanghai
[3] Shandong Xinrui Electric Power Technology Co. Ltd., Jinan
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2015年 / 39卷 / 21期
基金：
中国国家自然科学基金;
关键词：
Max-min ant system (MMAS); Microgrid; Optimal capacity; Optimal siting and sizing; Reliability;
D O I：
10.7500/AEPS20141130012
中图分类号：
学科分类号：
摘要：
An improved max-min ant system (MMAS) algorithm is presented for optimal siting and sizing of distributed generators (DGs) in a microgrid. The strategies of the optimization are to maximize the economic benefit and to guarantee stipulated reliability criteria. Firstly, a multi-objective model for configuration of the independent microgrid, which includes wind power, photovoltaic (PV) generation and energy storage devices in different environments, is developed. The rate of load power supply after a failure is defined. Meanwhile, the related factors, such as the energy excess rate, the steady rate of load power supply and DGs' constraints in the microgrid, are considered. Secondly, an improved MMAS algorithm is proposed to improve the rate and precision of convergence by adaptively adjusting the information heuristic factor and expectation heuristic factor. Then, the flow chart of optimally siting and sizing of DGs is designed. Through an evaluation of economy and reliability during a specified period of time, a comprehensive approach is obtained. Finally, the optimization is programmed in MATLAB to achieve the optimal sizing of a five-bus island system and the optimal siting of the medium voltage microgrid on an island of Denmark. The advancement and feasibility of the improved algorithm are validated through comparison of relevant cases. © 2015 Automation of Electric Power Systems Press.
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收藏
页码：73 / 80
页数：7
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