Parameter extraction of solar cell models using improved war strategy algorithm
Source abstract
Abstract
A study proposed an improved war strategy algorithm called the chaos genetic manifestation war strategy algorithm (CGM-WSO) to extract parameters of solar cell model. The CGM-WSO algorithm incorporates three improvement measures. First, it introduces the logistic–tent chaos map to enable random perturbation during initialization. Second, it utilizes the crossover and mutation operators of the genetic algorithm to enhance the algorithm’s ability to escape local optima. Finally, the Lambert W function is employed to obtain explicit analytic expressions of single and double diode models. The performance of the CGM-WSO algorithm was validated using several cell’s models, and the results demonstrated significantly improved accuracy, reliability, and convergence speed compared to other algorithms.
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Research context
OpenAlex topics: Photovoltaic System Optimization Techniques · Solar Radiation and Photovoltaics · solar cell performance optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory for Optoelectronic Information Perception and Instrumentation of Jiangxi Province, Nanchang Hangkong University 1 , Nanchang 330063, China
College of Science and Technology, Nanchang Hangkong University 2 , Gongqing City 332020, China
School of Engineering and Construction, Nanchang University 3 , Nanchang 330031, China
Funding
National Natural Science Foundation of China · JiangXi Province Human Resources and Social Security Department · Nanchang Hangkong University
References (33)
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