A comparative study on the computation of directional overcurrent relay coordination in power systems using PSO and TLBO based optimization

Abstract

Purpose Directional Overcurrent Relay (DOCR) coordination computation allowing for desired and high level accuracy in interconnected power systems is very difficult and is a highly constraint oriented optimization problem. This paper aims to study the effectiveness of a newly reported optimization technique, Teaching Learning Based Optimization (TLBO), in protective relay coordination comparing with a widely used optimization technique, Particle Swarm Optimization (PSO). Design/methodology/approach DOCR coordination in electric power systems is considered as an optimization problem by formulating objective function and specifying problem constraints. Optimum values of the DOCR adjustment parameters (Time Dial Setting and Plug Setting) in terms of reliable coordination margin and operating times of relays are computed by both the algorithms, TLBO and PSO. Optimal coordination is verified in three test bus systems: IEEE 6-bus, WSCC 9-bus and IEEE 14-bus systems. Findings A comparison between the numerical results of using both the algorithms indicates that the TLBO gives better results in terms of the total operating times of relays and Coordination Time Interval (CTI). Originality/value This paper represents the performance of a newly reported optimization technique, TLBO which is till now unpopular to protection engineers to be applied in protective relay coordination applications. The technique provides better performance in comparison to the widely applied technique, PSO. It is expected that TLBO would facilitate protection engineers to decide the optimum and appropriate settings of the relays for leading exact relays coordination.

Optimal overcurrent relay coordination in distribution network based on Lightning Flash Algorithm

“…Characteristic components l , h and L vary depending on the type of relays (Saha et al, 2016;Alam et al, 2015;Gers and Holmes, 2011;Bedekar and Bhide, 2011). Here, all the protective relays are assumed identical overcurrent relays with inverse definite minimum time (IDMT) type.…”

Steady state and dynamic performance of self-excited induction generator using FACTS controller and teaching learning-based optimization algorithm

“…The teacher phase starts by selecting the best student of the class which is considered as a teacher (X teacher ), and the other students learn from him to improve their quality by using the following expression shown in equation ( 19) (Saha et al, 2016):…”

“…During the past three decades, meta-heuristic algorithms are used to solve complicated engineering problems and to improve the performance of electrical machines and power system Abd Elhameed, 2014, 2015;Kim, 2007, Mahapatra et al, 2015Saha et al, 2016;Avudayappan and Deepa, 2016). One of the recent algorithms, namely, a teaching learning-based optimization (TLBO) algorithm is developed (Rao et al, 2011(Rao et al, , 2012.…”

A New Approach for the Setting of Directional Overcurrent Relays by Incorporating Cascading Outages

“…The optimization methods which have inherent advantages are employed to designate the valid values of the protection coordination problem (PCP) [1,2]. As the conventional methods have low convergence speed and low accuracy, they are no longer utilized [3].…”