A New Bi-Objective Approach to Energy Management in Distribution Networks with Energy Storage Systems

被引:100
作者
Azizivahed, Ali [1 ]
Naderi, Ehsan [2 ]
Narimani, Hossein [3 ]
Fathi, Mehdi [3 ]
Narimani, Mohammad Rasoul [4 ]
机构
[1] Shiraz Univ Technol, Dept Elect Engn, Shiraz 1387671557, Iran
[2] Razi Univ, Fac Engn & Technol, Kermanshah 67146, Iran
[3] Islamic Azad Univ, Dept Elect Engn, Kermanshah Branch, Kermanshah 67146, Iran
[4] Missouri Univ Sci & Technol, Dept Elect & Comp Engn, Rolla, MO 65409 USA
关键词
Benefit analysis; energy not supplied (ENS); hybrid grey wolf optimizer-particle swarm optimization (HGWO-PSO); multi-objective energy management (MOEM); OPTIMAL POWER-FLOW;
D O I
10.1109/TSTE.2017.2714644
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper introduces a novel approach for optimal operation of distribution networks at the presence of distributed generation resources and battery energy storage system. Modern power distribution networks must operate not only at the most economical way but also at a reasonable level of system reliability. Toward this end a special attention has been paid to reliability assessment in which turns the proposed problem into a multiobjective energy management (MOEM). Energy not supplied, a prominent reliability index, is considered as an objective function beside the operation cost. A hybrid evolutionary algorithm, hybrid grey wolf optimizer-particle swarm optimization algorithm, is also proposed to solve the proposed MOEM. Accuracy of the proposed algorithm is evaluated on IEEE 84-bus standard distribution system. Obtained results are compared with those available in literatures to prove the supremacy of the proposed algorithm. Furthermore, a benefit analysis has been done to assess the associated cost of the photovoltaic installment.
引用
收藏
页码:56 / 64
页数:9
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