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Optimised Wind Farm Active and Reactive Power Dispatch While Considering Fatigue Distribution

机译:考虑疲劳分布的优化风电场有功和无功功率分配

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In the traditional optimization of wind farms (WFs) power dispatch, the strategies of active and reactive dispatches are decoupled. However, the electrical power losses inside a WF is related to both the active power dispatch and reactive power dispatch. This paper unites active and reactive power dispatches to make the output power of WF maximal. In addition, the uneven fatigue distribution of WF caused by wake effect and the improper active power dispatch will lead to high maintenance frequency, which means high maintenance costs. Therefore, this paper also takes the fatigue distribution of WF into account. The fatigue coefficient is selected to represent the fatigue suffered by wind turbines (WTs). And the standard deviation is take to evaluate fatigue distribution. Simulations are made in a WF consisting of 50 PMSG WTs. The PSO algorithm is implemented to solve problems. The active and reactive power of each WT are the control variables. The case study section shows the new strategy’s superiority.
机译:在传统的风电场(WFs)功率分配优化中,主动和无功分配策略是分离的。但是,WF内部的电力损耗与有功功率分配和无功功率分配都相关。本文将有功和无功功率分配相结合,以使WF的输出功率最大。另外,由于尾流效应引起的WF疲劳分布不均匀,有功功率分配不当,将导致维护频率高,维护成本高。因此,本文还考虑了WF的疲劳分布。选择疲劳系数来代表风力涡轮机(WTs)所遭受的疲劳。标准偏差用于评估疲劳分布。在由50个PMSG WT组成的WF中进行仿真。实施PSO算法以解决问题。每个WT的有功功率和无功功率是控制变量。案例研究部分显示了新策略的优势。

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