Optimized Power Management Approach for Photovoltaic Systems with Hybrid Battery-Supercapacitor Storage

Author:

Rekioua Djamila1ORCID,Kakouche Khoudir1ORCID,Babqi Abdulrahman2,Mokrani Zahra1,Oubelaid Adel1ORCID,Rekioua Toufik1ORCID,Azil Abdelghani1,Ali Enas3ORCID,Alaboudy Ali H. Kasem4,Abdelwahab Saad A. Mohamed4ORCID

Affiliation:

1. Laboratoire LTII, Université de Bejaia, Bejaia 06000, Algeria

2. Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia

3. Faculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt

4. Electrical Department, Faculty of Technology and Education, Suez University, Suez 43533, Egypt

Abstract

The paper addresses the ongoing and continuous interest in photovoltaic energy systems (PESs). In this context, the study focuses on an isolated photovoltaic system with hybrid battery-supercapacitor storage (HBSS). The integration of supercapacitors (SCs) in this system is particularly important because of their high specific power density. In photovoltaic (PV) systems, multi-storage systems use two or more energy storage technologies to enhance system performance and flexibility. When batteries and supercapacitors are combined in a PV system, their benefits are maximized and offer a more reliable, efficient, cost-effective energy storage option. In addition, effective multi-storage power management in a PV system needs a solid grasp of the energy storage technologies, load power demand profiles, and the whole system architecture. This work establishes a battery-supercapacitor storage system (HBSS) by combining batteries and supercapacitors. The primary objective is to devise a novel management algorithm that effectively controls the different power sources. The algorithm is designed to manage the charge and discharge cycles of the hybrid battery-supercapacitor energy storage system (HBSS), thereby guaranteeing that the state of charge (SOC) for both batteries and supercapacitors is maintained within the specified range. The proposed management algorithm is designed to be simple, efficient, and light on computational resources. It efficiently handles the energy flow within the HBSS, optimizing the usage of both batteries and supercapacitors based on real-time conditions and energy demands. The proposed method ensures their longevity and maximizes their performance by maintaining the SOC of these energy storage components within the specified limits. Simulation results obtained from applying the management strategy are found to be satisfactory. These results show that the proposed algorithm maintains the SOC of batteries and supercapacitors within the desired range, leading to improved energy management and enhanced system efficiency.

Funder

Deanship of Scientific Research, Taif University

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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