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Modeling and performance analysis of hybrid power system for residential application

Citation

Al-Falahi, MD and Che Wanik, MZ, Modeling and performance analysis of hybrid power system for residential application, Proceedings of the 2015 Australasian Universities Power Engineering Conference (AUPEC), 27-30 September 2015, Wollongong, Australia, pp. 1-6. ISBN 978-1-4799-8725-2 (2015) [Refereed Conference Paper]

Copyright Statement

Copyright 2015 IEEE

Official URL: http://ieeexplore.ieee.org/document/7324810/

DOI: doi:10.1109/AUPEC.2015.7324810

Abstract

This paper describes modeling and presenting performance analysis of PV/Wind/Battery Hybrid Power System (PWB-HPS) for residential applications. The main aim is to maximize the use of Renewable Energy Sources (RES) to meet the load demand by selecting the optimal configurations of the proposed PWB-HPS. The system consists of two Photovoltaic (PV) panels inclined in two different directions, one Wind Generation System (WGS) and Battery Storage (BS) connected to a DC bus and then to the AC side through pulse width modulation inverter. Maximum Power Point Tracking (MPPT) is used to efficiently regulate the pulse width of the control signal of the boost converter in order to maintain the voltage level of the DC bus at a specific value. The system is modeled and simulated with SIMULINK software for two modes of operations: On-Grid and Off-Grid in order to examine the complementary characteristics of solar and wind power system to satisfy the load demand. Simulation results showed that the design can effectively realize the variation of RES by maintaining the voltage level of the DC bus at 240 V which satisfied the load demand at whole simulation time. The effectiveness of the proposed system was demonstrated by the simulation results and validated with detail analysis on the system's performance.

Item Details

Item Type:Refereed Conference Paper
Keywords:Battery Storage, Hybrid Power System, Photovoltaic, PV/Wind/Battery Hybrid Power System, Renewable Energy Sources, Wind Generation System
Research Division:Engineering
Research Group:Electrical and Electronic Engineering
Research Field:Electrical and Electronic Engineering not elsewhere classified
Objective Division:Energy
Objective Group:Renewable Energy
Objective Field:Renewable Energy not elsewhere classified
Author:Al-Falahi, MD (Mr Monaaf Al-Falahi)
ID Code:116116
Year Published:2015
Deposited By:Seafaring
Deposited On:2017-05-02
Last Modified:2017-06-21
Downloads:0

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