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Generation matching and economic evaluation of household wind/PV hybrid power system

机译:家用风光互补发电系统的发电匹配与经济评价

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Renewable energy has stronger relationship with human development than ever. According to extensive studies on existed stand alone wind and photovoltaic (PV) hybrid power system, a novel method of optimum sizing was presented to obtain proper combination of wind and solar generation and effectively analyzed economic performance. Annual total cost model was proposed and genetic algorithm (GA) was used to search global minimum solution. Compared with other system models, it simplified solving process, improved computational efficiency, and effectively avoided premature convergence. It is helpful to program the hybrid power system and popularize stand alone generating system for home usage in remote area.
机译:可再生能源与人类发展的关系比以往任何时候都更牢固。根据对现有的独立的风电和光伏(PV)混合动力系统的广泛研究,提出了一种优化选型的新方法,以获得风能和太阳能发电的适当组合,并有效地分析了经济效益。提出了年度总成本模型,并使用遗传算法(GA)搜索全局最小解。与其他系统模型相比,它简化了求解过程,提高了计算效率,并有效避免了过早收敛。对混合动力系统进行编程,并推广偏远地区家庭使用的独立发电系统是有帮助的。

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