Simulation based size optimization of a PV/wind hybrid energy conversion system with battery storage under various load and auxiliary energy conditions

• Published in: Applied energy Vol. 86; no. 9; pp. 1387 - 1394
• Main Authors: Ekren, Banu Y., Ekren, Orhan
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.09.2009; Elsevier
• Series: Applied Energy
• Subjects: Applied sciences; Economic data; Energy; Energy economics; Equipments, installations and applications; Exact sciences and technology; General, economic and professional studies; Hybrid energy; Hybrid energy Optimization Simulation OptQuest; Natural energy; Optimization; OptQuest; Photovoltaic conversion; Simulation; Solar energy; Wind energy; Turkey, Anatolia, Izmir; Turkey; OptQuest; Hybrid energy; Simulation; Optimization; Economic optimization; Wind generator; Photovoltaic cell; Hybrid system; Dimensioning; Wind energy; Storage; Electricity; Solar energy; Technicoeconomic study; Electric power production; Energy storage
• ISSN: 0306-2619; 1872-9118
• DOI: 10.1016/j.apenergy.2008.12.015

In this paper, size of a PV/wind integrated hybrid energy system with battery storage is optimized under various loads and unit cost of auxiliary energy sources. The optimization is completed by a simulation based optimization procedure, OptQuest, which integrates various heuristic methods. In the study, the main performance measure is the hybrid energy system cost. And the design parameters are PV size, wind turbine rotor swept area and the battery capacity. The case study is realized for Izmir Institute of Technology Campus Area, Urla, Turkey. The simulation model of the system is realized in ARENA 12.0, a commercial simulation software, and is optimized using the OptQuest tool in this software. Consequently, the optimum sizes of PV, wind turbine and battery capacity are obtained under various auxiliary energy unit costs and two different loads. The optimum results are confirmed using Loss of Load Probability (LLP) and autonomy analysis. And the investment costs are investigated how they are shared among those four energy sources at the optimum points.