Title: Optimal design of battery charge management controller for hybrid system PV/wind cell with storage battery

Authors: Mohamed M. Ismail; Ahmed F. Bendary; Mahmoud Elsisi

Addresses: Faculty of Engineering, Helwan University, Cairo 11792, Egypt ' Faculty of Engineering, Helwan University, Cairo 11792, Egypt ' Electrical Engineering Department, Faculty of Engineering (Shoubra), Benha University, P.O. Box 11241, 108 Shoubra St., Cairo, Egypt

Abstract: The renewable energy sources (RES) became a fundamental necessity to the majority of electric systems and also the isolated systems like the water pumping and petroleum excavators systems. The RES typically required energy storage system because of variations in the power during the day. Because of increment popular of utilising batteries, the charging and discharging procedure of battery system should have been well managed through an adaptive controlled system. In this paper, a standalone power system utilising photovoltaic, wind energy and batteries are contributed in providing the required load. The charging balance of batteries is accomplished by utilising a new hybrid genetic algorithm (GA)-based proportional integral (PI) controller with adaptive neuro-fuzzy inference system (ANFIS). This new hybrid GA-based PI with ANFIS control method is compared with the GA-based PI controller and the conventional PI controller based on Ziegler Nichols (ZN) technique. Dynamic simulations exhibit the right performance of the hybrid GA-based PI with ANFIS control for the proposed power system under study and the better performance than the GA-based PI controller and ZN-based PI controller.

Keywords: photovoltaic; wind generation; batteries; ANFIS; genetic algorithm; GA.

DOI: 10.1504/IJPEC.2020.110018

International Journal of Power and Energy Conversion, 2020 Vol.11 No.4, pp.412 - 429

Received: 09 Jul 2018
Accepted: 10 Jul 2019
Published online: 01 Oct 2020 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article