Optimum Coordination of Directional Overcurrent Relays Using Modified Adaptive Teaching Learning Based Optimization Algorithm

Abstract

Relay coordination problem is highly constrained optimization problem. Heuristic techniques are often used to solve optimization problem. These techniques have a drawback of converging to a non-optimum solution due to the wide range of design variables. On the other hand, initial solution becomes difficult to find with shorter range of design variables. This paper presents modified adaptive teaching learning based optimization algorithm to overcome this drawback of conventional heuristic techniques. The coordination problem is formulated as a constrained non-linear optimization problem to determine the optimum solution for the time multiplier setting (TMS) and plug setting (PS) of DOCRs. Initial solution for TMS is heuristically obtained with the commonly chosen widest range for TMS values. The upper bound of TMS range then substituted by the maximum TMS value in the first initial solution. The new upper limit is obviously lower than the earlier one. Next phase of optimization is carried out with the new range of TMS for the pre-determined iterations of teacher phase. Consequent to the completion of the teacher phase, new upper bound is obtained from the available solution and optimization is carried out for the pre-determined iterations of learner phase. This process is repeated to get the optimum solution. Fixed range for PS is used to obtain the selectivity. Such a strategy of iteratively updating the upper bound of TMS range shows remarkable improvement over the techniques which employ fixed TMS range. This algorithm is tested on different networks and has been found more effective. Four case studies

The Comparison of Lately Proposed Harris Hawks Optimization and Jaya Optimization in Solving Directional Overcurrent Relays Coordination Problem

“…Two modified particle swarm optimization (PSO) algorithms were used in [7,8], where the repair algorithm and a nonrandom technique for initialization were introduced to the standard version, respectively. Teaching learning-based optimization (TLBO) and modified adaptive TLBO (MATLBO) were used in [9,10]. Firefly algorithm (FA), chaotic firefly algorithm (CFA), and modified swarm firefly algorithm (MSFA) were used in [11][12][13].…”

Online implementation of time augmentation of over current relay coordination using water cycle algorithm

“…CTI is considered as 0.2 s. The TDS of seven OC relays are represented by x 1 to x 7 in Eq. (25). (x 1 ,…x 7 subscripts indicates the relay numbers).…”

“…Some researchers further improved the GA approaches as continuous GA [21] and hybrid GA [22], which greatly reduced relay operating time. Further, researchers and scholars have also modified and improved the techniques mentioned in the literature, some of the modified versions of which are, adaptive DE [23], modified adaptive TLBO [24], and modified PSO [25].…”

Impact of Recloser on Protecting Blind Areas of Distribution Network in the Presence of Distributed Generation

“…The values of 0.14, 0.02 and 1.0 are, respectively, set for α, β and γ to define an IDMT OC relay. Similarly, the recloser relay also has an inverse-time OC characteristic [39]. In this section, the OC relay settings of the DG and substation feeder are presented, and the recloser relay settings is then adjusted.…”