Publication Type : Journal Article
Publisher : IEEE
Source : International Review on Modelling and Simulations, Vol. 16, No. 5, pp. 324-336, 2023
Url : https://ieeexplore.ieee.org/abstract/document/4602366
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2023
Abstract : For optimal co-ordination of Overcurrent (OC) relays, linear programming techniques such as simplex, two-phase simplex and dual simplex are used. Another way of optimal coordination program is using artificial intelligent system such as genetic algorithm (GA). In this paper a new approach will be used for optimal coordination of OC relays based on genetic algorithm. In this work we take into account both time setting multiplier (TSM) and plug setting multiplier (PSM) of OC relays in optimization procedure. Most OC relays accept only discrete values as TSM and PSM, and you should change your final answers to discrete form and this may corrupt the optimization. In this paper the act of quantizing the answers is taken into account as a part of optimization procedure, so the outputs are optimized discrete TSM’s and PSM’s. In other words the novelty of the paper is taking into account the PSM in addition to TSM to handle miscoordination problems both for continues and discrete TSM and PSM. The results obtained are quite encouraging and will be useful as an effective tool for coordination OC relays.
Cite this Research Publication : Anu Kuriakose, S. Balamurugan, “Optimum Overcurrent Relay Coordination Using Genetic Algorithm with Time Multiplier Setting and Pick Up Current Setting as Variables”, International Review on Modelling and Simulations, Vol. 16, No. 5, pp. 324-336, 2023.