Sizing of Hybrid Renewable Energy System Based on Nature-Inspired Search Method and LPSP Model

Abstract

The energy sector is imperative for the development of every country. Companies in the energy sector often are challenged in terms of how to provide affordable energy within a climatically conducive manner, and with the ability to provide energy from the primary sources that meet the demand on the energy market. Developing countries often find it difficult to resolve these issues either because of a lack of technical expertise or financial resources. Although renewable energy sources can help address the challenges such as energy security, energy affordability and energy sustainability, it has not been fully exploited. In this paper, an approach for optimum sizing and minimizing Loss of Power Supply Probability (LPSP) of hybrid renewable energy systems (HRES) under the minimum cost of energy. The method underlying the HRES is based on a novel nature-inspired behaviour of the kestrel bird. The proposed algorithm was evaluated experimentally to compare its performance against a benchmarked algorithm that is WSA-MP. The result shows that by combining different sources of energy such as wind and solar, the proposed algorithm (KSA) guaranteed optimal cost over WSA-MP.