Optimal coordination of distance and over-current relays using ICA

Rahmatian, M.; Pourarab, Morteza Hossein; Gholami, M.; Gharehpetian, Gevork B.

doi:10.1109/epdc.2014.6867507

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…• PSO [58] • SOA [23] • NLP [58] • ICA [265] • The mutation process uses only one individual from a previous population and its crossover process is more advanced than in others; • EBSA is a dual-population algorithm that uses both the current and historical population to take advantage of the experiences from previous generations. • The effectiveness of the proposed EBSAbased approach in solving the optimal coordination problem.…”

Section: -Bus 8-bus and 15-bus Test Systemsmentioning

confidence: 99%

Optimization Techniques for Directional Overcurrent Relay Coordination: A Comprehensive Review

Foqha,

Alsadi,

Omari

et al. 2024

IEEE Access

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This paper provides a comprehensive review of optimization techniques for coordinating directional overcurrent relays in power systems. It covers a wide range of techniques, including conventional and deterministic methods, metaheuristic algorithms, and hybrid approaches. The paper discusses the objective functions utilized in formulating relay coordination problem and presents the development of optimization methods for solving this problem. Furthermore, it examines the criteria for comparing different algorithms for coordination problem and includes a case study to demonstrate the practical application of these criteria. It also presents simulation software employed for examining and validating results obtained from optimization algorithms. Future trends and challenges regarding optimal coordination of directional overcurrent relays are also discussed. The paper concludes that there is no single "best" optimization technique for the coordination problem. The best technique for a particular application will depend on the specific characteristics of the power system and the constraints of the coordination problem.

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