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Optimal power flows with voltage stability constraint based on voltage stability indices and artificial neural networks

机译:基于电压稳定指数和人工神经网络的具有电压稳定约束的最优潮流

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This paper describes the resolution of the optimal power flow (OPF) problem in the context of competitive electricity markets with a voltage stability constraint (VSC) based on the estimation of a voltage stability index (VSI) by means of an artificial neural network (ANN). The complexity of a VSI-based VSC consists in determining the VSI critical value. Thus, a methodology based on ANN for explicitly and algebraically determining such a critical value is proposed here. Numerical tests with 6-bus test-system are carried out in this study. This approach actually allows modeling the market clearing dispatch problem with power system security properly accounted in terms of voltage stability.
机译:本文基于通过人工神经网络(ANN)估算电压稳定指数(VSI)的方法,在具有电压稳定约束(VSC)的竞争性电力市场中描述了最优潮流(OPF)问题的解决方案)。基于VSI的VSC的复杂性在于确定VSI临界值。因此,在此提出了一种基于ANN的方法,用于显式和代数确定这种临界值。在这项研究中进行了带有6总线测试系统的数值测试。实际上,这种方法可以对用电压稳定性适当考虑的电力系统安全性对市场清算调度问题进行建模。

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