Optimal Overcurrent relays coordination using genetic algorithm

Abstract

For optimal co-ordination of Overcurrent (OC) relays, linear programming techniques such as simplex, twophase 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.

Protection Coordination Optimization for FREEDM (Future Renewable Electric Energy Delivery and Management) System

“…The artificial intelligence-based techniques prove good solution for these inadequacies [7]. Genetic algorithm [20][21][22][23][24][25] and modified firefly algorithm [6], were appropriately applied in resolving the PCO problem.…”

“…It is required to examine the capability of the GA to solve the coordination problem compared to the traditional technique. The success of the GA means that it will be possible to implement GA for other problems, where the traditional methods are not valid [23].…”

A high-performance hybrid algorithm to solve the optimal coordination of overcurrent relays in radial distribution networks considering several curve shapes

“…The faster the fault is isolated, the lower is the thermal and mechanical efforts in the system. In the optimal coordination of OCRs, the objective is to obtain the settings (Ip, TDS, curve types and relay types) that minimize the operational time of the primary protection OCRs [3,[31][32][33]. The optimal settings are directly related to the speed criteria.…”

Application of a Continuous Particle Swarm Optimization (CPSO) for the Optimal Coordination of Overcurrent Relays Considering a Penalty Method

“…In [7], an evolutionary algorithm was applied for the first time to deal with the relay coordination problem. In various papers [8][9][10][11][12][13], different versions of a genetic algorithm have been applied to improve the convergence characteristics of genetic algorithms overall. A different version of the particle swarm optimization technique has also been suggested in order to achieve the optimum values for relay coordination [14][15][16][17][18][19].…”