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Coordinated and optimized voltage control in active distribution based on two-stage programming algorithm

机译:基于两阶段编程算法的主动配电电压优化协调控制

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A coordinated and optimized voltage control method using two-stage programming algorithm is proposed in this paper. Based on the forecasts of loads and the maximum power output predictions of the distributed generators (DGs) day-ahead, it realizes the coordinated control among the active and reactive power of DGs, on-load tap changer (OLTC) and the shunt capacitors (SCs). With the voltage level for each node in qualified condition, this method takes reducing network loss, reducing regulation times of equipment and promoting power utilization ratio of DGs as target. Firstly, the differential evolution algorithm is used to obtain the feasible state when the statuses of the OLTC and the SCs are determined by the second stage. Then the DG optimal output from the first stage is fed back to the second stage, and the optimal values of the objective function are calculated by the dynamic programming algorithm while the voltage control plan for day-ahead is obtained. On this basis, the method is realized by MATLAB, and the case study verifies the validity and effectiveness of the proposed method.
机译:提出了一种采用两阶段编程算法的协调优化电压控制方法。它基于负荷预测和分布式发电机(DG)的最大功率输出预测,可以实现DG的有功功率和无功功率,有载分接开关(OLTC)和并联电容器之间的协调控制( SC)。在每个节点的电压水平处于合格状态的情况下,该方法以减少网络损耗,减少设备的调节时间和提高DG的功率利用率为目标。首先,当第二阶段确定OLTC和SC的状态时,使用差分进化算法获得可行状态。然后将第一阶段的DG最佳输出反馈到第二阶段,并通过动态编程算法计算目标函数的最佳值,同时获得提前一天的电压控制计划。在此基础上,用MATLAB实现了该方法,并通过实例验证了该方法的有效性和有效性。

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