relation: https://khub.utp.edu.my/scholars/14691/
title: Solar-Wind Hybrid Energy Generation System Maximum Power Point Tracking using Perturb and Observe (PO) Algorithm*
creator: Khan, I.
creator: Hussain, R.
creator: Sikander, M.A.
creator: Arif, S.
creator: Umair, M.
description: The world ever increasing energy needs are deeply intervenes with demand appetite and depleting fuels sources. Traditional energy sources are the major cause of the pollution which adversely affects ecology. The global impetus towards alternate is now gaining momentum for eco-friendly energy needs. This research focuses on the performance optimization of solar wind hybrid generation system. In the wake of plethora of research techniques, the challenge of extracting maximum power from photovoltaic panel and wind generated power is yet to be address. Solar power varies due to sporadic environmental conditions so does the output power. In this research, we have investigated the Perturb and Observe (PO) algorithm for IV and PV curves of photovoltaic cell. Perturb and Observe (PO) algorithm is the industry de facto standard for optimization of PV panel power. The results demonstrated efficient battery charging by extracting maximum power point form photovoltaic cell. © 2021 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2021
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Khan, I. and Hussain, R. and Sikander, M.A. and Arif, S. and Umair, M.  (2021) Solar-Wind Hybrid Energy Generation System Maximum Power Point Tracking using Perturb and Observe (PO) Algorithm*.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112459923&doi=10.1109%2fICCOINS49721.2021.9497152&partnerID=40&md5=14eb173ffaa2082511e2e9a58d8d0e0b
relation: 10.1109/ICCOINS49721.2021.9497152
identifier: 10.1109/ICCOINS49721.2021.9497152