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

被引：54
|
作者：
Hamanah, W. M. [1 ]
Abido, M. A. [1 ,2 ]
Alhems, Luai M. [3 ]
机构：
[1] King Fahd Univ Petr, Elect Engn Dept, Minerals, Dhahran, Saudi Arabia
[2] CARE Energy Res & Innovat Ctr, Dhahran, Saudi Arabia
[3] King Fahd Univ Petr, Res Inst, Mech Engn Dept, Minerals, Dhahran, Saudi Arabia
来源：
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2020年 / 45卷 / 03期
关键词：
Hybrid energy system; Lightning search algorithm; Renewable energy fraction (REF); Energy not served (ENS); Cost of energy (COE); Annualized system cost; PARTICLE SWARM OPTIMIZATION; POWER-PLANT; MANAGEMENT; STORAGE;
D O I：
10.1007/s13369-019-04292-w
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页码：1871 / 1883
页数：13
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