Optimal controllers and configurations of 100% PV and energy Storage systems for a microgrid : the case study of a small town in Jordan

Alasali, F, Salameh, M, Semrin, A, Nusair, K, El-Naily, N and Holderbaum, W ORCID: https://orcid.org/0000-0002-1677-9624 2022, 'Optimal controllers and configurations of 100% PV and energy Storage systems for a microgrid : the case study of a small town in Jordan' , Sustainability, 14 (13) , p. 8124.

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution 4.0.

Download (4MB) | Preview

Abstract

Renewable energy systems such as Photovoltaic (PV) have become one of the best options for supplying electricity at the distribution network level. This is mainly because the PV system is sustainable, environmentally friendly, and is a low-cost form of energy. The intermittent and unpredictable nature of renewable energy sources which leads to a mismatch between the power generation and load demand is the challenge to having 100% renewable power networks. Therefore, an Energy Storage System (ESS) can be a significant solution to overcome these challenges and improve the reliability of the network. In Jordan, the energy sector is facing a number of challenges due to the high energy-import dependency, high energy costs, and the inadequate electrification of rural areas. In this paper, the optimal integration of PV and ESS systems is designed and developed for a distribution network in Jordan. The economic and energy performance of the network and a proposed power network under different optimization algorithms and power network operation scenarios are investigated. Metaheuristic optimization algorithms, namely: Golden Ratio Optimization Method (GROM) and Particle Swarm Optimization (PSO) algorithms, are employed to find the optimal configurations and integrated 100% PV and ESS for the microgrid.

Item Type: Article
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Sustainability
Publisher: MDPI
ISSN: 2071-1050
Related URLs:
Depositing User: USIR Admin
Date Deposited: 04 Jul 2022 07:06
Last Modified: 17 Aug 2022 08:48
URI: https://usir.salford.ac.uk/id/eprint/64340

Actions (login required)

Edit record (repository staff only) Edit record (repository staff only)