Research Area:  Metaheuristic Computing

Abstract:

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.

Keywords:  
hybrid energy system
wind farm
photovoltaic array
diesel generator
battery bank
objective function
lightning search algorithm
load data
solar irradiation
renewable energy generation

Author(s) Name:  Springer

Publisher name:  W. M. Hamanah, M. A. Abido, Luai M. Alhems

DOI:  10.1007/s13369-019-04292-w

Volume Information:  volume 45, pages 1871–1883

Paper Link:   https://link.springer.com/article/10.1007/s13369-019-04292-w