Adaptive energy consumption scheduling of multi-microgrid using whale optimization algorithm

被引:2
作者
Abedini, Mohamad [1 ]
Mostafai, Mohamad [2 ]
机构
[1] Ayatollah Boroujerdi Univ, Fac Engn, Dept Elect Engn, Boroujerd, Iran
[2] Islamic Azad Univ Dorood, Fac Engn, Lorestan Branch, Dorood, Iran
关键词
Wind turbine; battery; optimization; uncertainty; DISTRIBUTION NETWORKS; OPTIMAL OPERATION; GENERATION; SYSTEMS; RELIABILITY; MANAGEMENT;
D O I
10.1142/S1793962321500367
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, we investigated the day-ahead scheduling of network consisting of several distributed generation sources and connected loads. This scheduling is an optimization problem that has two objective functions, namely, operating costs and the cost caused by the emission of pollutants. In this scheduling, while introducing a new structure for micro-grid utilization, the possibility of exchanging power among networks and exchanging power between networks and the upstream distribution network is provided. The uncertainty of distributed wind generation sources and solar units has been investigated using appropriate probabilistic distributions. Incent-driven load-responsiveness management programs have been used as to encourage subscribers to reduce their power consumption during high-load hours. Whale optimization algorithm has been used for scheduling of network.
引用
收藏
页数:19
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