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An optimization based generator placement strategy in network reduction

机译:减少网络中基于优化的发电机布置策略

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Solving the optimal power flow (OPF) problem on a large power system is computationally expensive. Network reduction and ac-to-dc network conversion can relieve this burden by simplifying the full system model to a smaller and mathematically simpler model. Traditional reduction methods, like Ward reduction, fractionalize generators when the buses they are attached to are removed, and scatters these fractions to topologically adjacent buses. In some OPF applications, this type of generator modeling is problematic. An improved approach is to keep generators intact by moving them whole to buses in reduced model and then redistributing loads to maintain base-case line flows. Determining generator placement using a traditional shortest electrical distance (SED) based method may result in cases where the OPF solution on reduced model is infeasible while the full model has a feasible solution. In this paper, an improved generator placement method is proposed. Tests show that the proposed method yields a better approximation to the full model OPF solutions and is more likely to produce a reduced model with a feasible solution if the unreduced model has a feasible solution.
机译:解决大型电力系统上的最佳潮流(OPF)问题在计算上是昂贵的。通过将整个系统模型简化为更小且数学上更简单的模型,网络缩减和AC-DC网络转换可以减轻这种负担。传统的还原方法(例如Ward还原)会在移除与之相连的总线时将生成器分级,并将这些级分分散到拓扑相邻的总线上。在某些OPF应用程序中,这种类型的生成器建模是有问题的。一种改进的方法是通过将发电机整体移到简化模型中的母线上,然后重新分配负载以维持基本情况下的线路流量,来保持发电机完好无损。使用基于传统最短电气距离(SED)的方法确定发电机位置可能会导致以下情况:简化模型上的OPF解决方案不可行,而完整模型则具有可行的解决方案。本文提出了一种改进的发电机布置方法。测试表明,所提出的方法可以更好地逼近完整模型的OPF解,如果未归约模型具有可行解,则更有可能生成具有可行解的简化模型。

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