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

Jiaxin Lu, Weijun Wang, Yingchao Zhang and Song Cheng
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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

Energies, 2017, vol. 10, issue 10, 1-17

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.

Keywords: hybrid energy system; optimal design; HOMER; entropy weight method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

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