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.
| Original language | English |
|---|---|
| Pages (from-to) | 1871-1883 |
| Number of pages | 13 |
| Journal | Arabian Journal for Science and Engineering |
| Volume | 45 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1 Mar 2020 |
Bibliographical note
Publisher Copyright:© 2019, King Fahd University of Petroleum & Minerals.
Keywords
- Annualized system cost
- Cost of energy (COE)
- Energy not served (ENS)
- Hybrid energy system
- Lightning search algorithm
- Renewable energy fraction (REF)
ASJC Scopus subject areas
- General
