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New approach for power transformer protection based on intelligent hybrid systems

New approach for power transformer protection based on intelligent hybrid systems

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© The Institution of Engineering and Technology
Published

A power transformer needs continuous monitoring and fast protection as it is a very expensive piece of equipment and an essential element in an electrical power system. The most common protection technique used is the percentage differential logic, which provides discrimination between an internal fault and different operating conditions. Unfortunately, there are some operating conditions of power transformers that can mislead the conventional protection affecting the power system stability negatively. This study proposes the development of a new algorithm to improve the protection performance by using fuzzy logic, artificial neural networks and genetic algorithms. An electrical power system was modelled using Alternative Transients Program software to obtain the operational conditions and fault situations needed to test the algorithm developed, as well as a commercial differential relay. Results show improved reliability, as well as a fast response of the proposed technique when compared with conventional ones.

Inspec keywords: power system reliability; hybrid power systems; power system faults; fuzzy logic; power transformer protection; power system stability; power system simulation; neural nets; genetic algorithms; power system protection; power apparatus

Other keywords: genetic algorithm; alternative transient program software; reliability; power transformer protection; fuzzy logic; differential relay; electrical power system modeling; artificial neural network; power equipment; electrical power system stability; percentage differential logic; power transformer monitoring; intelligent hybrid system; internal fault discrimination

Subjects: Neural computing techniques; Reliability; Transformers and reactors; Power system control; Power system protection; Power engineering computing; Optimisation techniques; Optimisation techniques; Formal logic

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