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Artificial Neural Network for coordinated control of STATCOM, generator excitation and tap changing transformer

机译:人工神经网络用于STATCOM,发电机励磁和分接变换变压器的协调控制

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Control of voltage in a power system under varying load conditions can be achieved by varying the generator excitation, changing the tap position of transformers and by varying the reactive power injection or absorption at the shunt compensated buses. Proper coordination of these controllers is essential for the effective operation of the power system. This paper deals with the development of Artificial Neural Network which gives the voltage controller settings, such that the voltage deviations at the load buses are minimum.
机译:通过改变发电机励磁,改变变压器的抽头位置以及通过改变并联补偿母线上的无功功率注入或吸收,可以实现在变化的负载条件下对电力系统中的电压进行控制。这些控制器的正确协调对于电力系统的有效运行至关重要。本文研究了人工神经网络的发展,该网络提供了电压控制器的设置,从而使负载母线上的电压偏差最小。

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