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

ABSTRACT

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.

KEYWORDS:

• HRES
• fuel cell
• photovoltaic
• Amended Dragon Fly optimization algorithm
• loss of power supply probability
• wind
• Net Present Value

Nomenclature

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Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was supported by the National Natural Science Foundation of China (61701211), Science and Technology Project of Beijing (Z201100005820010), Scientific Research Project of Colleges and Universities in Hebei Province (QN2020187), Science and Technology Project of Cangzhou (183104001 and 204101016), and Basic Scientific Research Business Fee Project of Hebei Institute of Water Resources and Electric Power (SYKY2108 and SYKY2109).