The impact of cyber network configuration on the dynamic-thermal failure of transformers considering distributed generator controller

Abstract

Transformers as one of the valuable assets of the power system, have a remarkable role in the power system stability. Understanding the effective parameters on the transformer’s failure is so vital to reduce the transformer outages. On the other hand, with improvement and extension of intelligent systems, identifying the effective parameters on the security of smart networks is of considerable importance. This paper clarifies the relation between the cyber network configuration (CNC) and the failure probability of transformers due to the distributed generator controller. Also, a novel method is proposed to determine the effects of various cyber network configurations on the failure probability of transformers and also select the best CNC to maximize the reliability of the cyber-physical system. Optimized configuration should maximize the data connection between cyber elements, particularly cyber elements that have cyber-power interdependency with the critical transformers in the power network. Results indicate that the improper CNCs can increase the failure probability of transformers and consequently it leads to increment of expected energy not supplied (EENS) of the power system. The proposed method is implemented on the real pilot power test system.