Optimum Sizing of Hybrid PV, Wind, Battery and Diesel System Using Lightning Search Algorithm

• Published in: Arabian journal for science and engineering (2011) Vol. 45; no. 3; pp. 1871 - 1883
• Main Authors: Hamanah, W. M., Abido, M. A., Alhems, Luai M.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2020; Springer Nature B.V
• Subjects: Alternative energy; Computer simulation; Diesel fuels; Diesel generators; Electrification; Energy storage; Engineering; Humanities and Social Sciences; Hybrid systems; Lightning; multidisciplinary; Optimization; Photovoltaic cells; Renewable energy; Renewable resources; Research Article - Electrical Engineering; Science; Search algorithms; Wind power; Wind turbines; Energy not served (ENS); Annualized system cost; Lightning search algorithm; Cost of energy (COE); Renewable energy fraction (REF); Hybrid energy system
• ISSN: 2193-567X; 1319-8025; 2191-4281
• DOI: 10.1007/s13369-019-04292-w

This paper presents a new methodology to optimize the configuration of the hybrid energy system with the wind farm, photovoltaic array, diesel generator and battery bank. Minimizing the annual cost is considered as an objective function with different constraints considering energy not served and renewable energy fraction. The lightning search algorithm is employed to obtain the best cost value of hybrid power system construction. Annual load data, solar irradiation and output power of wind turbines are used in the optimization analysis with a 10-min resolution. The behavior of different components of the system has been investigated. Simulation results give the optimal decision variables: number PV panels, wind turbines, battery banks and the capacity of the diesel generator with the electrification costs (capital cost, and fuel cost) over 1 year for ten scenarios of the hybrid energy system. The results confirm the potential of the proposed approach for the cheapest renewable energy generation.