Intelligent agent-based system using dissolved gas analysis to detect incipient faults in power transformers

Abstract

Power transformers are considered capital investments in the infrastructure of every power system in the world. They are the heart of electric power distribution and transmission systems, and it is essential that they function properly. Because power transformers are critical to the reliable operation of every power grid, ways to extend their lives, prevent incipient electrical failures, and improve preventive maintenance policies have become increasingly important. As a result, the development of accurate monitoring and diagnosis systems has been under consideration for several years [1], [2]. Much work has been done in recent years to find ways of prolonging transformer life and reducing the cost of failure [3], [4]. Still, new methods for analyzing the condition of transformers are needed. In addition to technologies such as sensing and measuring devices, software architecture is playing an important role in the development of powertransformer monitoring and diagnostic systems. These systems are complex and should fulfill a number of requirements. © 2010 IEEE.