Internet of medical things-load optimization of power flow based on hybrid enhanced grey wolf optimization and dragonfly algorithm

被引:24
|
作者
Shilaja, C. [1 ]
Arunprasath, T. [1 ]
机构
[1] Kalasalingam Acad Res & Educ, Dept Elect & Elect Engn, Krishnankoil, India
关键词
Hybrid renewable energy system; Enhance grey wolf optimization; Dragonfly algorithm; Optimal power flow; IEEE30 bus system;
D O I
10.1016/j.future.2018.12.070
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In hybrid renewable energy system, optimization and control are more complex and non-linearity in nature. This research presented a hybrid algorithm based on Enhance grey wolf optimization and algorithm of Dragonfly algorithm for handling OPF (optimal power flow) issues. The hybrid algorithm is proposed for solving the minimization of fuel cost, power loss and voltage deviation. The Renewable energy are incorporated with solar and wind energy. To forecast the wind and solar photovoltaic power output the weibull distribution function are modelled. The traditional method is slow and incapable to solve non-linearity problems. The proposed method is fast and effective and it is experimented on IEEE 30 bus system by comparing with recent existing methods. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:319 / 330
页数:12
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