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Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER

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  • Jiaxin Lu

    (Department of Electrical Engineering, Army Logistics University of PLA, Chongqing 401331, China)

  • Weijun Wang

    (Department of Electrical Engineering, Army Logistics University of PLA, Chongqing 401331, China)

  • Yingchao Zhang

    (Department of Electrical Engineering, Chongqing Communication Institute, Chongqing 400036, China)

  • Song Cheng

    (Department of Electrical Engineering, Chongqing Communication Institute, Chongqing 400036, China)

Abstract

Implementation of hybrid energy system (HES) is generally considered as a promising way to satisfy the electrification requirements for remote areas. In the present study, a novel decision making methodology is proposed to identify the best compromise configuration of HES from a set of feasible combinations obtained from HOMER. For this purpose, a multi-objective function, which comprises four crucial and representative indices, is formulated by applying the weighted sum method. The entropy weight method is employed as a quantitative methodology for weighting factors calculation to enhance the objectivity of decision-making. Moreover, the optimal design of a stand-alone PV/wind/battery/diesel HES in Yongxing Island, China, is conducted as a case study to validate the effectiveness of the proposed method. Both the simulation and optimization results indicate that, the optimization method is able to identify the best trade-off configuration among system reliability, economy, practicability and environmental sustainability. Several useful conclusions are given by analyzing the operation of the best configuration.

Suggested Citation

  • Jiaxin Lu & Weijun Wang & Yingchao Zhang & Song Cheng, 2017. "Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER," Energies, MDPI, vol. 10(10), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1664-:d:115850
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    21. Chowdhury, Tamal & Chowdhury, Hemal & Miskat, Monirul Islam & Chowdhury, Piyal & Sait, Sadiq M. & Thirugnanasambandam, M. & Saidur, R., 2020. "Developing and evaluating a stand-alone hybrid energy system for Rohingya refugee community in Bangladesh," Energy, Elsevier, vol. 191(C).
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