Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing
Articles > Article ยท 2009
Authors: Orhan EKREN, Banu Y. Ekren
Applied Energy, Journal Indexed in SCI Expanded, International, WoS, 2009, vol 87, pp 592-598
DOI: 10.1016/j.apenergy.2009.05.022
Summary
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.