Optimal Coordination of Inverse Time Overcurrent Relays using COA and GSA Heuristic Algorithms
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Abstract
The purpose of this article is to achieve optimal coordination for timed overcurrent relays modeled in a test system. The traditional adjustment that is usually used in the field is taken as the base criterion to determine the improvements achieved with the implemented optimization methods. Optimal parameters are determined for two timed overcurrent relays modeled on the IEEE 13-node test system using PowerFactory software. The optimization algorithms are coded in Python. PowerFactory links with Python to generate interoperability between the algorithm and the electrical system. Satisfactory results are achieved from the COA and GSA algorithms with a reduction of more than 50% in relay operating times.
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