Ant Lion Optimization of On-Grid Supported by PV/Wind Considering Libyan Energy

Abstract

The increasing developments in Renewable Energy Sources (RESs) which provide benefits to address the growing future electricity demand need to be studied in depth. For better power performance to solve difficulties in power production, the On-grid system integrated with RESs can be adopted. This paper is aimed to shed light on two main RESs which are Photovoltaic (PV) and Wind Turbine (WT) with battery connected to the utility grid as an on-grid system to achieve the Sustainable Development Goal 7 (SDG7). In this paper, the Energy Management Strategy (EMS) is applied to achieve the objective functions which are Levelise Cost Energy (LCE), and Loss of Load Hours (LOLH), and to calculate the Greenhouse Gas (GHG) emission. Hence, Rule-Based EMS (RB-EMS) is supported to strategies the mechanism of the system by implementing a recent nature–inspired method namely Ant Lion Optimization (ALO). This paper encourages researchers to adopt the aforementioned method for solving problems due to the available benefits. The primary contribution of this article is to provide up-to-date and state-of-the-art knowledge to achieve the proposed objective functions of this study by utilizing MATLAB environment.