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Research Paper | Electrical Power Engineering | India | Volume 10 Issue 11, November 2021

Application of Back-Propagation Artificial Neural Network for Voltage Security Assessment

Shubhranshu Kumar Tiwary | Jagadish Pal | Chandan Kumar Chanda

Abstract: A power system is always subjected to internal and external complications that may lead to instability in the system. The social and economic consequences of a major power supply interruption are so great that every effort must be made to reduce the impact of such a disturbance. The process of determining the steadiness of the system following the disturbances is known as security assessment. In particular, steady state voltage security assessment is a process to evaluate the static security of the power system following a disturbance. It is done considering the loading conditions in respect of voltage profile at the buses. Each busis operated on a range of voltage magnitude, beyond which the voltage profile of the whole network is perturbed. In this paper voltage security assessment with help of Artificial Neural Network has been reported. Load flow studies are an integral part of security assessment of a power system but they are generally computationally intensive task and time consuming. As an alternative and less computationally intensive method, the artificial neural network is used in this paper to detect a set of critical conditions of a 2 machine 5 bus system.

Keywords: Power System Static Security, MW Security Assessment, Artificial Neural Network

Edition: Volume 10 Issue 11, November 2021,

Pages: 214 - 218