scholarly journals PARTICLE SWARM OPTIMIZATION FOR MICRO-GRID POWER MANAGEMENT AND LOAD SCHEDULING

2020 ◽  
Vol 10 (2) ◽  
pp. 71-80
Author(s):  
Abdelfettah Kerboua ◽  
Fouad Boukli-Hacene ◽  
Khaldoon A. Mourad
Keyword(s):  
Particle Swarm Optimization ◽  
Power Management ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Load Scheduling ◽  
Micro Grid

Power Management System of a Particle Swarm Optimization Controlled Grid Integrated Hybrid PV/WIND/FC/Battery Distributed Generation System

2021 ◽  
Author(s):  
T. Praveen Kumar ◽  
N. Subrahmanyam ◽  
Maheswarapu Sydulu
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Power Management ◽  
Distributed Generation ◽  
Power Flow ◽  
Reactive Power ◽  
Particle Swarm ◽  
System Control ◽  
Swarm Optimization ◽  
Power System Control

In this manuscript, the Power management of grid integrated hybrid distributed generation (DG) system with Particle swarm optimization (PSO) algorithm is proposed. The hybrid DG system combines with photovoltaic, wind turbine, fuel cell, battery. Depending on the use of hybrid sources and the changes of power production the variation of power can occurs in the DG system. The major purpose of the proposed method restrains the power flow (PF) on active with reactive power between the source and grid side. In the power system control the proposed PSO method is utilized to maximize the active with reactive PF and the controllers. The proposed method interact the load requirement energy and maintain the load sensitivity due to charging and discharging battery control. In the DG system, the proposed PSO method allows maximum power flow. To assess the PF, the constraints of equality and inequality have been evaluated and they are utilized to determine the accessibility of renewable energy source (RES), electricity demand, and the storage elements of charge level. The protection of the power system is enhanced based on the proposed PSO method. Additionally, for retaining a stable output the renewable power system and battery is used. The proposed method is activated in MATLAB/Simulink working platform and the efficiency is likened with other existing methods.

scholarly journals Optimal Operation Management in A Micro-Grid System Using Particle Swarm Optimization

2019 ◽  
Vol 1346 ◽  
pp. 012003
Author(s):  
Waleed Karrar ◽  
Zhang Zhen ◽  
Ebrahim Mohammed ◽  
Waleed M Ismael ◽  
Zhu Zengwei
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Optimal Operation ◽  
Operation Management ◽  
Grid System ◽  
Swarm Optimization ◽  
Micro Grid
Sign in / Sign up

Export Citation Format

Share Document