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Open AccessArticle

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

1
Department of Electrical Engineering, Army Logistics University of PLA, Chongqing 401331, China
2
Department of Electrical Engineering, Chongqing Communication Institute, Chongqing 400036, China
*
Authors to whom correspondence should be addressed.
Energies 2017, 10(10), 1664; https://doi.org/10.3390/en10101664
Received: 15 September 2017 / Revised: 10 October 2017 / Accepted: 16 October 2017 / Published: 20 October 2017
(This article belongs to the Section Electrical Power and Energy System)
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. View Full-Text
Keywords: hybrid energy system; optimal design; HOMER; entropy weight method hybrid energy system; optimal design; HOMER; entropy weight method
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Lu, J.; Wang, W.; Zhang, Y.; Cheng, S. Multi-Objective Optimal Design of Stand-Alone Hybrid Energy System Using Entropy Weight Method Based on HOMER. Energies 2017, 10, 1664.

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