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首页> 外文期刊>IEEE Transactions on Power Delivery >Optimal Scheduling of LTC and Shunt Capacitors in Large Distorted Distribution Systems Using Evolutionary-Based Algorithms
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Optimal Scheduling of LTC and Shunt Capacitors in Large Distorted Distribution Systems Using Evolutionary-Based Algorithms

机译:大型失真配电系统中基于进化算法的LTC和并联电容器的最优调度

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The optimal scheduling of load tap changers (LTCs) and switched shunt capacitors for simultaneously minimizing energy loss and improving voltage profile while taking harmonics into account is performed using evolutionary-based algorithms (EAs). The proposed algorithm is capable of optimizing large distribution systems with different types of nonlinear loads. The decouple approach is employed for harmonic power-flow calculations, while two EAs are developed to determine the load interval division and near-optimal schedule. The inclusion of harmonics provides the optimization benefits while maintaining the acceptable distortion levels. The scheduling is carried out for the IEEE 123-bus with 14 shunt capacitors and 12 nonlinear loads. The main contributions are inclusion of harmonics in the optimal scheduling problem and its application to large distribution systems with multiple nonlinear loads.
机译:使用基于进化的算法(EA)进行负载抽头变换器(LTC)和开关并联电容器的最佳调度,以同时最小化能量损失并改善电压分布,同时考虑谐波。所提出的算法能够优化具有不同类型非线性负载的大型配电系统。解耦方法用于谐波潮流计算,同时开发了两个EA来确定负载间隔划分和接近最优的计划。包含谐波可提供优化优势,同时保持可接受的失真水平。该调度是针对具有14个并联电容器和12个非线性负载的IEEE 123总线执行的。主要贡献是将谐波包含在最优调度问题中,并将其应用到具有多个非线性负载的大型配电系统中。

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