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首页> 外文期刊>International review of electrical engineering >Optimal Design of Stand-Alone PV/ Wind Generator and Diesel System by Using Individual Particle Optimization Algorithm
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Optimal Design of Stand-Alone PV/ Wind Generator and Diesel System by Using Individual Particle Optimization Algorithm

机译:基于独立粒子优化算法的单机光伏/风力发电机和柴油系统的优化设计

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摘要

In this paper an optimized wind/PV hybrid system with battery and diesel backup is designed. As a result of this study the costs of the hybrid system will be minimized in its 20-year life time. The optimization is done by considering the annual load increase and fuel cost rise. This Optimization is subject to load covering and minimizing the total cost. The total cost entailed maintenance, equipment and diesel fuel consumption substitution. An advanced variation of individual particle optimization algorithm (IPO) is used to solve the optimization problem.
机译:本文设计了具有电池和柴油后备的优化风/光伏混合系统。这项研究的结果是,在20年的使用寿命中,混合动力系统的成本将降至最低。通过考虑年度负荷增加和燃料成本增加来进行优化。此优化受负载覆盖并最大程度地降低了总成本。总成本包括维护,设备和柴油消耗的替代。一种先进的个体粒子优化算法(IPO)变体用于解决优化问题。

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