Evaluation of the Capability of the Hybrid Algorithm of Gray Wolf Optimizer and Cuckoo Search Optimizer in Minimizing the Cost of Planning an Island Hybrid System
1
Department of Engineering, Shah. C., Islamic Azad University, Shahreza, Iran
2
Islamic Azad University of Semmirom Branch, Semmirom, Iran
10.61882/jgeri.2026.2085188.1103
Abstract
This paper presents a planning framework for a hybrid islanded microgrid, focused on determining the optimal capacity of dispatchable and non-dispatchable renewable resources alongside battery energy storage, with the primary objective of minimizing cost. The objective function minimizes the total annualized cost, encompassing the capital and maintenance expenditures for all generation assets, batteries, and power electronic converters. The optimization is subject to constraints defined by detailed operational and sizing models for each system component. A hybrid metaheuristic algorithm combining the Gray Wolf Optimizer (GWO) and Cuckoo Search Optimizer (CSO) is employed to solve the resulting nonlinear planning problem. The proposed model is applied to real-world geographical and load data from the Semirom region near Qaraqach Dam in Iran. Numerical results demonstrate that the GWO+CSO hybrid solver achieves the most cost-effective system configuration with a high convergence rate. A key finding is that integrating stationary battery storage into the islanded system reduces the required power generation level from dispatchable biomass resources, which in turn decreases the number of installed biomass units and associated power converters, leading to significant overall cost savings.
Naderi Drehshori,E , Hajari,M R and Pirouzi,S . (2026). Evaluation of the Capability of the Hybrid Algorithm of Gray Wolf Optimizer and Cuckoo Search Optimizer in Minimizing the Cost of Planning an Island Hybrid System. (e736527). Journal of Green Energy Research and Innovation, (), e736527 doi: 10.61882/jgeri.2026.2085188.1103
MLA
Naderi Drehshori,E , , Hajari,M R , and Pirouzi,S . "Evaluation of the Capability of the Hybrid Algorithm of Gray Wolf Optimizer and Cuckoo Search Optimizer in Minimizing the Cost of Planning an Island Hybrid System" .e736527 , Journal of Green Energy Research and Innovation, , , 2026, e736527. doi: 10.61882/jgeri.2026.2085188.1103
HARVARD
Naderi Drehshori E, Hajari M R, Pirouzi S. (2026). 'Evaluation of the Capability of the Hybrid Algorithm of Gray Wolf Optimizer and Cuckoo Search Optimizer in Minimizing the Cost of Planning an Island Hybrid System', Journal of Green Energy Research and Innovation, (), e736527. doi: 10.61882/jgeri.2026.2085188.1103
CHICAGO
E Naderi Drehshori, M R Hajari and S Pirouzi, "Evaluation of the Capability of the Hybrid Algorithm of Gray Wolf Optimizer and Cuckoo Search Optimizer in Minimizing the Cost of Planning an Island Hybrid System," Journal of Green Energy Research and Innovation, (2026): e736527, doi: 10.61882/jgeri.2026.2085188.1103
VANCOUVER
Naderi Drehshori E, Hajari M R, Pirouzi S. Evaluation of the Capability of the Hybrid Algorithm of Gray Wolf Optimizer and Cuckoo Search Optimizer in Minimizing the Cost of Planning an Island Hybrid System. JGERI. 2026;():e736527. doi: 10.61882/jgeri.2026.2085188.1103
