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Optimal Sizing of a Stand-alone PV/FC/Wind Hybrid System Using PSO Modified Algorithm

机译:使用PSO修改算法的独立PV / FC /风混合系统的最佳尺寸

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Renewable energy sources in energy generation can decrease the costs of system fuel and also can have desirable impact on reliability of system. So a suitable combination between the system reliability indices level and system capital investment costs is required. In this paper a hybrid system consist of wind turbine, photovoltaic (PV) arrays and fuel cell (FC) is designed in order to provide a specific pattern of load. The aim of this design is minimizing the cost of overall 20-year energy generation system in considering and not considering reliability indices constraints. Data’s related to load, solar irradiance and wind speed are considered deterministic. It is assumed that there is emergency outage probability of three main units through system components. These units include wind turbines, PV arrays and DC/AC converter. System costs include investment cost, cost of maintenance and repair and also costs associated with loss of load. PSO modified algorithm is used for system optimization and the results are compared with common PSO algorithm. Combining a modified intelligent algorithm with reliability evaluation causes an increase in the volume and as a result the calculation time. An approximate model is presented to estimate system reliability which caused a significant decrease in calculation time.
机译:能源生产中的可再生能源可以降低系统燃料的成本,也可以对系统的可靠性产生理想的影响。因此,需要在系统可靠性指标水平和系统资本投资成本之间进行适当的组合。在本文中,设计了一种由风力涡轮机,光伏(PV)阵列和燃料电池(FC)组成的混合系统,以提供特定的负载模式。该设计的目的是在考虑和不考虑可靠性指标约束的情况下,将整个20年能源发电系统的成本降至最低。与负载,太阳辐照度和风速有关的数据被认为是确定性的。假设通过系统组件存在三个主要单元的紧急停机可能性。这些单元包括风力涡轮机,光伏阵列和DC / AC转换器。系统成本包括投资成本,维护和维修成本以及与负载损失相关的成本。将PSO修改算法用于系统优化,并将结果与​​常见PSO算法进行比较。将改进的智能算法与可靠性评估相结合会导致体积增加,从而导致计算时间增加。提出了一个近似模型来估计系统可靠性,从而导致计算时间显着减少。

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