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Multi-time-scale Coordinative and Complementary Reactive Power and Voltage Control Strategy for Wind Farms Cluster

机译:风电场群的多时标协调互补互补无功电压控制策略

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The volatility of wind power makes it more prominent the reactive power and voltage control of wind farms clusters, which is studied from the perspective of regional control as the main tendency at present. This paper designs a multi-objective reactive power optimization and voltage control strategy for wind farms cluster, which is based on the analysis of wind power fluctuation characteristics and reactive power compensation characteristics. The optimization model includes the day-ahead optimization and the intra-day optimization. At first, pre-optimizing each discrete reactive power compensation device by taking into account wind power output characteristics in the former mode. While in the intra-day optimization, the controlling center optimizes the compensation amount of different reactive compensation devices based on the optimization results of the day-ahead optimization model. The case study of a practical wind farms cluster is modeled with the proposed strategy. The primal-dual interior point method (PDIPM) was used to solve the optimization model and the simulated results verified the effectiveness of the proposed method.
机译:风电的波动性使得风电场集群的无功和电压控制更加突出,这是目前从区域控制的角度研究的趋势。在分析风电波动特性和无功补偿特性的基础上,设计了风电场群的多目标无功优化和电压控制策略。优化模型包括日前优化和日内优化。首先,通过考虑前一种模式下的风电输出特性,对每个离散无功功率补偿设备进行预优化。在日间优化中,控制中心根据日前优化模型的优化结果优化不同无功补偿装置的补偿量。利用所提出的策略对一个实际的风电场集群进行了案例研究。用原始对偶内点法(PDIPM)求解优化模型,仿真结果验证了该方法的有效性。

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