An optimization based generator placement strategy in network reduction

Yujia Zhu, D. Tylavsky
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引用次数: 5

Abstract

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.
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网络缩减中基于优化的发电机布局策略
求解大型电力系统的最优潮流(OPF)问题在计算上是非常昂贵的。通过将整个系统模型简化为更小、数学上更简单的模型,网络缩减和交直流网络转换可以减轻这种负担。传统的约简方法,如Ward约简,在它们所连接的总线被移除时对生成器进行分馏,并将这些分馏分散到拓扑上相邻的总线上。在一些OPF应用中,这种类型的生成器建模是有问题的。一种改进的方法是将发电机整体移动到减少模型的母线上,然后重新分配负载以保持基本线路流量,从而保持发电机的完整。使用传统的基于最短电距(SED)的方法确定发电机位置可能会导致简化模型上的OPF解不可行而完整模型上的OPF解可行的情况。本文提出了一种改进的发电机布置方法。试验表明,所提方法能更好地逼近全模型OPF解,如果未约简模型具有可行解,则更有可能产生具有可行解的约简模型。
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