Статья

Optimum structure of a combined wind/photovoltaic/fuel cell-based on amended Dragon Fly optimization algorithm: a case study

Bo GaoCangzhou Technology Innovation Center of Reliability and Intelligence of Active Distribution Network, ChinaCheng PengCangzhou Technology Innovation Center of Reliability and Intelligence of Active Distribution Network, ChinaKong DezhiFoundation Department, Hebei University of Water Resources and Electric Engineering, ChinaXiping WangCangzhou Technology Innovation Center of Reliability and Intelligence of Active Distribution Network, ChinaChaodong LiDepartment of Electrical Engineering, Tongling Vocational and ‘Technical College, ChinaGao MingmingSchool of Electronic and Information Engineering, Liaoning Technical University, ChinaNoradin GhadimiYoung Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

2022en

ABI

Аннотация

This study proposes a new optimal hybrid renewable energy system (HRES) arrangement, including a photovoltaic system, wind turbine, and fuel cell, for electrifying a remote area in Turkey. The study is based on considering system cost and reliability. To deliver an optimal configuration, system sizing has been designed based on an Amended version of the DragonFly optimizer. The achievements of the method have been then compared with some other published methods, including Particle Swarm Optimizer (PSO)-based algorithm and Firefly (FA)-based method. Simulation results show that the proposed method with 1,888,827.5 USD provides the minimum Net Present Cost value among the others. The main idea is to assess the objective function by lessening the Net Present Cost (NPC) by confirming based on the loss of power supply probability (LPSP). Final simulations indicated that the proposed approach provides lower NPC and LCOE toward the others.

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Идентификаторы

DOI: 10.1080/15567036.2022.2105453

Цитирования и источники

Цитирований: 2Использованных источников: 0

Показатели — AkademScholar