Operational strategy of a hybrid renewable energy system with hydrogen-battery storage for optimal performance using Levy Flight Algorithm

Abstract

Generating electricity through a hybrid renewable energy system (HRES) is crucial for accomplishing one of the goals of sustainable development (SDG 7 - Affordable and Clean Energy). However, designing an optimal HRES is challenging due to the fluctuating demand and intermittent nature of renewable energy sources (RES). Recently, hybrid hydrogen-battery energy storage technologies have gained significant attention as a means to facilitate a sustainable and net-zero-emission HRES. This research paper introduces a rule-based algorithm and metaheuristic optimization technique known as Levy Flight Algorithm (LFA) for the energy management strategy (EMS) of an independent HRES. The EMS aims to establish a power delivery sequence for the various components within the microgrid, and subsequently, LFA is employed to optimize the EMS. To address the variability and unpredictability of renewable energy sources (RES), the proposed EMS is evaluated across four scenarios: winter, spring, summer, and autumn derived from a stochastic model of RES. The results demonstrate that the energy management strategy employed to control the HRES has successfully established an environmentally friendly energy system.