Power Management System of a Particle Swarm Optimization Controlled Grid Integrated Hybrid PV/WIND/FC/Battery Distributed Generation System
DOI:
https://doi.org/10.13052/dgaej2156-3306.3624Keywords:
Power management, distributed generation system, active with reactive power, load requirement.Abstract
In this manuscript, the Power management of grid integrated hybrid dis-
tributed 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 pro-
posed method is activated in MATLAB/Simulink working platform and the
efficiency is likened with other existing methods.
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