Multi-objective energy management system for DC microgrids based on the maximum membership degree principle

Multi-objective energy management system for DC microgrids based on the maximum membership degree principle
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基于最大隶属度原理的直流微电网多目标能量管理系统

DOI:
10.1007/s40565-017-0331-y
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发表时间:
2018-07
影响因子:
6.3
通讯作者:
Xu Dianguo
Xu Dianguo
中科院分区:
工程技术2区
文献类型:
--
作者:
Wang Panbao;Wang Wei;Meng Nina;Xu Dianguo

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随着直流电气设备数量的不断增加,直流微电网受到了越来越多的关注。本文提出了一种对包含混合能源(此处句子似乎不完整,“hybrid e”后面应该还有内容)的直流微电网的能量管理系统(EMS)进行多目标优化的方法。
With the increasing quantity of DC electrical equipment, DC microgrids have been paid more and more attention. This paper proposes an approach to multi-objective optimisation of an energy management system (EMS) for a DC microgrid that includes a hybrid energy storage system (HESS). The operating and maintenance cost and the loss of power supply probability (LPSP) of the system are used as optimisation targets. The power flows of all distributed generators (DGs) in the DC microgrid during operating period are optimized. Based on the improved differential evolution (DE) algorithm, and by using the multi-objective non-dominated sorting method and the maximum membership degree principle (MMDP) of fuzzy control, the overall satisfaction degree of Pareto solutions to power flow optimization can be obtained. Simulation results verify the effectiveness of the proposed EMS optimization scheme, which is able to achieve an effective trade-off between the economy and the reliability of microgrid operation.
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