Application of ant lion optimizer algorithm for optimum design of hybrid PV/WT/battery power system
کد مقاله : 1222-CFIS (R1)
نویسندگان:
سید مهدی حداد بایگی *1، جواد فرزانه2، رویا رمضان زاده3، علی کارساز1
1موسسه آموزش عالی خراسان
2دانشگاه سمنان
3دانشگاه آزاد اسلامی واحدگناباد
چکیده مقاله:
The idea of this paper is behind the development of sizing optimization model based on a new optimization algorithm to optimize the size of different stand-alone hybrid photovoltaic (PV)/wind turbine (WT)/battery system components to electrify a remote location including ten residential buildings located in Rafsanjan, Kerman, Iran. Then, the optimal system is estimated on the basis of various inconstant parameters related to the renewable energy system units. The ant lion optimizer is suggested to find the optimal values of the parameters for satisfying the electrical load demand in the most cost-effective way. The results obtained from the simulation illustrate that the off-grid PV/WT/battery hybrid power system is the more promising method to provide the electricity consumption of an urban location. To evaluate the performance of the proposed method, the simulation results are compared with other hybrid energy systems which optimized by particle swarm optimization (PSO), harmony search (HS), firefly algorithm (FA) and differential evolutionary (DE) algorithm. The results obtained by the investigated algorithms show that the PV/WT/battery system that is optimized by ALO method is more economical in compared with PV/battery and WT/battery hybrid systems.
کلیدواژه ها:
Optimal sizing, Hybrid renewable energy, PV/WT/battery, Ant lion optimizer
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