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Design of hybrid energy systems using bat search optimization algorithm
Ali Goldoust1 , Mehrdad Hojat * 1, Saeed Seyyed Mahdavi2
1- Islamic Azad University, Shahrood Branch
2- Islamic Azad University, Bojnourd Branch
Abstract:   (302 Views)
In this paper, a framework for the optimal design of hybrid energy systems with a bat search optimization algorithm is presented. Wind turbines, solar panels, and combined heat and power (CHP) systems are considered as power generators. The proposed framework has the ability to exchange power with the upstream network, taking into account the limitations of power exchange. The cost of installing wind turbines, solar panels, combined heat and power (CHP) systems, battery storage, and converters in the form of investment costs plus maintenance costs, combined heat and power system fuel costs, expected load removal costs, and power exchange costs as target functions Taken. Also, a complete set of constraints related to the hybrid energy system is included in the framework of the problem. Uncertainties related to the production capacity of wind turbines and solar panels along with the uncertainty of consumer power demand using the two-point estimation method in the proposed framework are also considered. The bat search algorithm is used to find the optimal solution to the optimization problem. The results of the proposed framework in the form of different scenarios are compared with the results obtained using the genetic algorithm and particle swarm, which indicates its efficiency and optimal performance in the field of design of hybrid energy systems.
Keywords: Bat search algorithm, solar panels, two-point estimation, wind turbine, battery storage, hybrid energy system, Combined heat and power (CHP) system.
Type of Study: Research |
Received: 2020/12/29 | Accepted: 2021/09/8

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نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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