A tuned cuckoo search algorithm for optimal coordination of Directional Overcurrent Relays

Abstract

The precise coordination of Directional Overcurrent Relays (DOCRs) is required to identify fault timely, effectively and isolate them from the network to avoid possible outages in a power system. The DOCRs coordination is an optimization problem including highly nonlinear constraints. In this paper, Cuckoo Search Algorithm (CSA) is implemented to solve coordination problem of DOCRs on two different case studies. The parameters of CSA are effectively tuned to obtain global best solution for the DOCRs coordination problem. The obtained results using the proposed method are compared with Genetic Algorithm (GA) and hybrid GA-Nonlinear programming (GA-NLP) methods. The result shows that the effective modification of CSA parameters can obtain feasible and superior solution for this complex problem.

Optimal Coordination of Standard and Non-Standard Direction Overcurrent Relays Using an Improved Moth-Flame Optimization

“…the performance of proposed IMFO is evaluated using three different networks (8-bus, 9-bus, and 15-bus). In each test network, the proposed IMFO is compared with other well-known optimization algorithms (EFO [19], DE [23], MEFO [19], PSO [23], MWCA [1], WCA [1], HS [12], SQA [24], GSA [24], GA-NLP [25], GSA-SQP [24], BBO-LP, GA [23], CSA [26], SFSA [17], SA [5], BSA [27], EBSA [28], GSO [29], ER-WCA [30], WOA [31], HWO [31], FA [32], IFA [32], DJAYA [34], and OJAYA [34]) to show its superiority in finding the optimal solution for the coordination problem of DOCRs. Both of MFO and IMFO are applied on the following two cases: -Case #1, the coordination problem of DOCRs with the standard DOCR characteristics.…”

Robust coordination of directional overcurrent relays using a matheuristic algorithm

“…The results were compared with the pure DE algorithm and with the ones shown in [34]. In this paper, the results are better than or equal to other works considering the same instance [26,40,44,50]. Instance 4: The results were compared only with the pure DE algorithm.…”

“…Although this approach is generally better than treating the problems separately, it still does not model the real coupling between the variables. (iv) Joint Ip/TMS tuning - [3,4,[27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]: In these approaches, TMS and Ip are set jointly, through an optimisation algorithm. Taking into account the non-linear nature of the problem, metaheuristic methods such as genetic algorithms (GAs), particle swarm optimisation (PSO), and differential evolution (DE) are commonly employed.…”

Optimal Relay Coordination for DG-Based Power System Using Standard and User-Defined Relay Characteristics

“…The obtained OF values with NI relay characteristics by using the GWO algorithm and other existing optimization techniques such as MFO [14], EFO [19], DE [20], PSO [20], GA [20], HS [21], WCA [22], CSA [28], EBSA [29], D-JAYA [30] are shown in Fig. 19.…”