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
相关论文
共 50 条
  • [1] A Hybrid Algorithm based on Invasive Weed Optimization and Particle Swarm Optimization for Global Optimization
    Hosseini, Zeynab
    Jafarian, Ahmad
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (10) : 295 - 303
  • [2] Optimization of Multi-objective Micro-grid Based on Improved Particle Swarm Optimization Algorithm
    Zhang, Jian
    Gan, Yang
    ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS II, 2018, 1955
  • [3] Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden
    Azaza, Maher
    Wallin, Fredrik
    ENERGY, 2017, 123 : 108 - 118
  • [4] Smart Micro-grid Optimization with Controllable Loads Using Particle Swarm Optimization
    Saber, Ahmed Yousuf
    Venayagamoorthy, Ganesh Kumar
    2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,
  • [5] Design and Optimization of Hybrid Micro-Grid System
    Jayachandran, M.
    Ravi, G.
    FIRST INTERNATIONAL CONFERENCE ON POWER ENGINEERING COMPUTING AND CONTROL (PECCON-2017 ), 2017, 117 : 102 - 110
  • [6] Research on optimal Dispatching Strategy of micro-grid based on Particle Swarm optimization algorithm
    Wang, Ning
    Li, Hongtao
    Zhang, Qianmao
    Shi, Litao
    Geng, Xin
    6TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING, 2021, 647
  • [7] Economic Dispatch of Micro-Grid Based on Improved Particle-Swarm Optimization Algorithm
    Cao, Huiqiu
    Xu, Jian
    Ke, Deping
    Jin, Chengxu
    Deng, Shengchu
    Tang, Chenghui
    Cui, Mingjian
    Liu, Ji
    2016 North American Power Symposium (NAPS), 2016,
  • [8] Distributed Neural Network and Particle Swarm Optimization for Micro-grid Adaptive Power Allocation
    Zao Fu
    Xing He
    Ping Liu
    Ali Palizban
    Wengjing Liao
    Neural Processing Letters, 2022, 54 : 3215 - 3233
  • [9] Distributed Neural Network and Particle Swarm Optimization for Micro-grid Adaptive Power Allocation
    Fu, Zao
    He, Xing
    Liu, Ping
    Palizban, Ali
    Liao, Wengjing
    NEURAL PROCESSING LETTERS, 2022, 54 (04) : 3215 - 3233
  • [10] An Improved Particle Swarm Optimization and Its Application for Micro-grid Economic Operation Optimization
    Liu, Tao
    Wang, Jun
    Sun, Zhang
    Luo, Juan
    He, Tingting
    Chen, Ke
    BIO-INSPIRED COMPUTING - THEORIES AND APPLICATIONS, BIC-TA 2014, 2014, 472 : 276 - 280
12345