Hybrid Invasive Weed Optimization - Particle Swarm Optimization Algorithm for Biomass/PV Micro-grid Power System

被引：0
|
作者：
Samy, Mohamed Mahmoud [1 ,2 ]
Barakat, Shimaa [1 ]
机构：
[1] Beni Suef Univ, Ind Educ Coll, Elect Engn Dept, Bani Suwayf, Egypt
[2] Albaha Univ, Fac Engn, Elect Engn Dept, Albaha, Saudi Arabia
来源：
2019 21ST INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON 2019) | 2019年
关键词：
Biomass/PV Micro-grid; Invasive Weed Optimization; Viability Study; Particle Swarm Optimization; HIWO/PSO;
D O I：
10.1109/mepcon47431.2019.9008156
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Agricultural waste is a stable source of biomass for generating energy. Model analysis for a hybrid biomass-PV micro-grid was carried out in this study. The model analysis shows the ability to meet the power demand requirements of a joined irrigation and a household demand of a farm fruits in Egypt. In this manuscript, an efficient hybridization of two metaheuristic mechanisms, addressed Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO), were presented. The new algorithm is named (HIWO/PSO) and applied to take out the optimum sizing of the suggested system. The total net present cost (TNPC), the loss of power supply probability (LPSP) and the excess energy fraction (EEF) have been applied as an exponent to estimate the competence of the introduced micro-grid.
引用
收藏
页码：377 / 382
页数：6
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