Application of ABC Algorithm for GridIndependent Hybrid Hydro/Photovoltaic/Wind/Fuel Cell Power Generation System Considering Cost and Reliability

This paper is purposed to investigate minimization of overall expenditure of combinatorial self-determining power plant. This preferred complex based on hydrogen storage demanded by electrical capacitors posited in SABALAN dam powerhouse due to local agricultural irrigations include small hydropower units, photovoltaic systems and wind turbines. Systems durability in considerate of reliability computation is estimated approximately 20 years. Genuinely, all intact respective data, such as floodgate outlet water Debi, sunlight and puff intensity from the nearest local weather station and SUNA (Iran naval energy organization), because of utilize in the simulation have been perfectly collected. Therefore, comparison of combinatorial (Hydro, PV, Wind, Fuel Cell) plant with mentioned system without considering the hydropower plant has been studied. Costs of plant fabrication, reliability betterment of entire system and also output-energy expenditure that are economic priorities of affix the hydropower plant to the combinatorial system have been perused. Accordingly, it has been used by a trustable proximate pattern to modify the effect-time of referred system. And also to attain an accurate optimized system capacity, Artificial Bee Colony (ABC) has been preferred. In addition to purpose of confide the validation and accuracy, the obtained results by ABC algorithm has been compared with the results in PSO (particle swarm optimization) which obtained by HOMER software. With good judgment, consequences evaluation testified precision and highly efficiency of ABC to determine the optimum capacity of combinatorial system.