| Title |
Comparative Study for Optimal Sizing of a Hybrid PV/Wind/Diesel/Battery Storage System by Metaheuristic Optimization Methods |
| Authors |
Jae-Hoon Cho ; ?Won-Pyo Hong |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2016.30.4.060 |
| Keywords |
Hybrid PV-WT-DG-battery Energy System ; Optimal Size ; Optimization Algorithm ; Loss of Power Supply Probability (LPSP) ; Annualized Cost of System(ACS) ; Genetic Algorithms(GA) ; Particle Swarm Optimization(PSO) |
| Abstract |
In a hybrid energy system, different energy sources (photovoltaic (PV), wind, diesel, etc.) as well as energy storage devices are connected together to supply the electrical load. Since the produced power of PV and wind turbine (WT) is dependent on the variation of the resources (sun and wind) and the load demand fluctuates, the main attribute of such hybrid systems is the ability of satisfying the load at any time and storing the excess energy for the later use in deficit conditions. This paper presents a methodology to size and to optimize a stand-alone hybrid PV/Wind/Diesel/Battery bank minimizing the Total annual cost and Loss of Power Supply Probability (LPSP) using a GA and PSO based optimization algorithm respectively. The effectiveness of the proposed method was verified by Matlab software.In this paper, first the mathematical model of various parts of hybrid system is presented. Then, the proposed algorithm is used. Finally, simulation results (number of PV panels, number of wind turbines, number of battery storages, system total cost,power diagram of hybrid power system components) for solar-wind -diesel systems is presented.The simulation results of the proposed approach show that the use of PSO can be more efficient than GA in the size optimization of hybrid energy system. |