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首页> 外文会议>International Youth Conference on Radio Electronics, Electrical and Power Engineering >Optimal Configuration of a Grid-Connected Hybrid PV/Wind/Hydro-Pumped Storage Power System Based on a Novel Optimization Algorithm
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Optimal Configuration of a Grid-Connected Hybrid PV/Wind/Hydro-Pumped Storage Power System Based on a Novel Optimization Algorithm

机译：基于新型优化算法的并网光伏/风/水泵混合储电系统的优化配置

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摘要

In this paper, a novel metaphor-less Rao optimization technique is developed to solve the optimization problem of optimal configuration of a hybrid system consisting of solar photovoltaic (PV), wind turbines and a hydroelectric pumped storage (HPS) system. Furthermore, the optimal design of this system was conducted based on real-time meteorological data of Ataka area, Egypt. Minimizing the cost of energy (COE) delivered from the proposed system is the essential goal of addressed optimization problem. In addition, statistical measurements based on various metrics has been studied to validate the accuracy of developed Rao optimization technique. Moreover, the simulation results obtained from the developed technique are compared with other recent optimization techniques. Finally, from the obtained simulation results, the developed technique proved effectiveness as a good competitor to other optimization techniques in optimal sizing of grid-connected hybrid system. The simulation process of proposed algorithm has been implemented using MATLAB software.
机译：本文开发了一种新颖的隐喻RAO优化技术，以解决由太阳能光伏（PV），风力涡轮机和水电泵浦存储（HPS）系统组成的混合系统的优化问题。此外，该系统的最佳设计是基于埃及Ataka地区的实时气象数据进行的。最小化从提出的系统提供的能量（COE）的成本是解决优化问题的基本目标。此外，已经研究了基于各种度量的统计测量来验证开发的RAO优化技术的准确性。此外，从开发技术获得的模拟结果与其他最近的优化技术进行了比较。最后，从所获得的仿真结果中，开发技术证明了在电网连接的混合系统最佳尺寸中的其他优化技术中的良好竞争力。已经使用MATLAB软件实现了所提出的算法的仿真过程。

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