Assessment of the voltage stability index of electric networks supplying charging stations using a multilayer perceptron

Ensuring power system voltage stability is one of the key challenges in power system planning and operation. At the moment, as a result of a number of technological incidents in the form of a violation of the stability of the voltage of the power system, multilayer perceptrons were tested on the territory of various countries.

PURPOSE. Development of an intelligent approach to assessing the Load Stability Index (LSI) in the power system using computational intelligence methods (neural networks).

METHODS. In the course of these studies, a method for estimating the ISI was used, which is used to monitor the stability of voltage in the power system using the "Smart Park" calculation method.

RESULTS. The results of providing the development stage are obtained, which substantiate the possibility of using the Multilayer Perceptron (MLP) for estimating the IEL with a high degree of accuracy.

CONCLUSION. In the course of these studies, the authors of the article put forward the following conclusions: an approach based on a multilayer perceptron (MPP) neural network with feed-forward is presented; an assessment of the ISI was carried out on the example of a power system using the calculation method "Smart Park"; the presented neural network approach does not depend on the open-circuit voltage on a particular load bus; the presence of indicators of active power, reactive power and voltage on the load bus is sufficient to assess the IPL; The MSP approach allows for an accurate assessment of the ISI even when the topology and operating conditions change. The obtained indicators can be applied in changing the methodology for assessing the stability of voltage in electrical systems and complexes and calculating their operating modes.

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