Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing

被引：370
作者：
Ekren, Orhan [2 ]
Ekren, Banu Y. [1 ]
机构：
[1] Pamukkale Univ, Dept Ind Engn, TR-20070 Kinikli, Denizli, Turkey
[2] Ege Univ, Dept HVAC, Ege Vocat Training Sch, TR-35100 Izmir, Turkey
来源：
APPLIED ENERGY | 2010年 / 87卷 / 02期
关键词：
Hybrid energy; Optimization; Simulation; Simulated annealing; TECHNOECONOMIC ANALYSIS; DESIGN; MODEL;
D O I：
10.1016/j.apenergy.2009.05.022
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, we perform Simulated Annealing (SA) algorithm for optimizing size of a PV/wind integrated hybrid energy system with battery storage. The proposed methodology is a heuristic approach which uses a stochastic gradient search for the global optimization. In the study, the objective function is the minimization of the hybrid energy system total cost. And the decision variables are PV size, wind turbine rotor swept area and the battery capacity. The optimum result obtained by SA algorithm is compared with our former study's result. Consequently, it is come up with that the SA algorithm gives better result than the Response Surface Methodology (RSM). The case study is realized for a campus area in Turkey. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：592 / 598
页数：7
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