Coordination of distance and directional overcurrent relays using an extended continuous domain ACO algorithm and an hybrid ACO algorithm

•Consider all fault locations to obtain a comprehensive mixed coordination model.•A new model for the coordination of directional overcurrent and distance relays.•Overall results expose the enhancement of the coordination processing time.•Able to process dynamic data keeping system all-time coordina...

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Published inElectric power systems research Vol. 170; pp. 259 - 272
Main Authors Labrador Rivas, Angel Esteban, Gallego Pareja, Luis Alfonso, Abrão, Taufik
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.05.2019
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ISSN0378-7796
1873-2046
DOI10.1016/j.epsr.2019.01.032

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Summary:•Consider all fault locations to obtain a comprehensive mixed coordination model.•A new model for the coordination of directional overcurrent and distance relays.•Overall results expose the enhancement of the coordination processing time.•Able to process dynamic data keeping system all-time coordinated.•A fast solving technique important to smart-grid applications. This paper performs optimal coordination of directional overcurrent and distance relays jointly in a mixed protection scheme. This problem is a mixed non-linear programming problem (MNLP) with a high-level mathematical complexity. The mixed scheme variables are time dial setting (TDS), and the zone-2 time set (tZ2) parametrized as continuous and plug setting (PS) as discrete. This model considers all fault locations described to obtain a complete mixed optimal coordination. An extended continuous domain ant colony optimization (xℝ-ACO) algorithm and an hybrid algorithm (traditional ACO plus linear programming (LP) solver) are implemented to solve this optimization problem. Initial solutions for ACO are randomly generated whether feasible or not. However, during the iterative ACO process, the algorithm converges into a feasible search space. Four transmission systems (IEEE-3, IEEE-6, IEEE-8, and IEEE-30 Bus) accordingly corroborate the accuracy and effectiveness of the proposed methodologies.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2019.01.032