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Energies 2016, 9(8), 649; doi:10.3390/en9080649

Structure Optimization of Stand-Alone Renewable Power Systems Based on Multi Object Function

1
Smart Logistics Technology Institute, Hankyong National University, 327 Chungang-ro Anseong-si, Kyonggi-do 17579, Korea
2
Department of Electronics Engineering, Chungbuk National University, Chungdae-ro, Seowon-Gu, Cheongju, Chungbuk 28644, Korea
3
Department of Building Services Engineering, Hanbat National University, 125 Dongseodae-ro, Yuseong-Gu, Daejeon 34158, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Paul Stewart
Received: 18 February 2016 / Revised: 20 July 2016 / Accepted: 4 August 2016 / Published: 17 August 2016
(This article belongs to the Special Issue Next-Generation Low-Carbon Power and Energy Systems)
View Full-Text   |   Download PDF [6544 KB, uploaded 17 August 2016]   |  

Abstract

This paper presents a methodology for the size optimization of a stand-alone hybrid PV/wind/diesel/battery system while considering the following factors: total annual cost (TAC), loss of power supply probability (LPSP), and the fuel cost of the diesel generator required by the user. A new optimization algorithm and an object function (including a penalty method) are also proposed; these assist with designing the best structure for a hybrid system satisfying the constraints. In hybrid energy system sources such as photovoltaic (PV), wind, diesel, and energy storage devices are connected as an electrical load supply. Because the power produced by PV and wind turbine sources is dependent on the variation of the resources (sun and wind) and the load demand fluctuates, such a hybrid system must be able to satisfy the load requirements at any time and store the excess energy for use in deficit conditions. Therefore, reliability and cost are the two main criteria when designing a stand-alone hybrid system. Moreover, the operation of a diesel generator is important to achieve greater reliability. In this paper, TAC, LPSP, and the fuel cost of the diesel generator are considered as the objective variables and a hybrid teaching–learning-based optimization algorithm is proposed and used to choose the best structure of a stand-alone hybrid PV/wind/diesel/battery system. Simulation results from MATLAB support the effectiveness of the proposed method and confirm that it is more efficient than conventional methods. View Full-Text
Keywords: stand-alone hybrid PV/wind/diesel/battery system; teaching-learning-based optimization algorithm; total annual cost; loss of power supply probability stand-alone hybrid PV/wind/diesel/battery system; teaching-learning-based optimization algorithm; total annual cost; loss of power supply probability
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Cho, J.-H.; Chun, M.-G.; Hong, W.-P. Structure Optimization of Stand-Alone Renewable Power Systems Based on Multi Object Function. Energies 2016, 9, 649.

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