TY - JOUR
T1 - Highly Accurate Directional Overcurrent Coordination via Combination of Rosen's Gradient Projection-Complex Method with GA-PSO Algorithm
AU - Darabi, Ahmad
AU - Bagheri, Mehdi
AU - Gharehpetian, Gevork B.
N1 - Funding Information:
Manuscript received November 8, 2018; revised January 17, 2019; accepted March 6, 2019. Date of publication April 2, 2019; date of current version March 2, 2020. This work was supported in part by the Faculty Development Competitive Research Grant of Nazarbayev University under Project SOE2018018 and in part by the Social Policy Grant of Nazarbayev University. (Corresponding author: Ahmad Darabi.) A. Darabi is with the Department of Electrical Engineering, Technical University of Kermanshah, Kermanshah 6715685420, Iran (e-mail:, ad.ahmad@ aut.ac.ir).
PY - 2020/3
Y1 - 2020/3
N2 - This research work involves a highly accurate directional overcurrent coordination using the complex method-Rosen's gradient projection nonlinear programming approach with the genetic algorithm-particle swarm optimization (GA-PSO) metaheuristic optimization algorithm. To accelerate the optimization process, manual tuning steps are proposed to remove miscoordinations quickly and to determine the relay type in the case that different relay curves are given for coordination. In this manner, the metaheuristic and the deterministic parts share their advantages so that their combination leads to a significant tradeoff between exploration and exploitation. In addition, different objective functions for each part are introduced. For various conditions, the proposed method is applied to the eight-bus transmission and 33-kV distribution part of the 30-bus IEEE power system. Next, the superiority of the proposed algorithm over other researches is verified by the observation that the results are in the range of dual setting schemes.
AB - This research work involves a highly accurate directional overcurrent coordination using the complex method-Rosen's gradient projection nonlinear programming approach with the genetic algorithm-particle swarm optimization (GA-PSO) metaheuristic optimization algorithm. To accelerate the optimization process, manual tuning steps are proposed to remove miscoordinations quickly and to determine the relay type in the case that different relay curves are given for coordination. In this manner, the metaheuristic and the deterministic parts share their advantages so that their combination leads to a significant tradeoff between exploration and exploitation. In addition, different objective functions for each part are introduced. For various conditions, the proposed method is applied to the eight-bus transmission and 33-kV distribution part of the 30-bus IEEE power system. Next, the superiority of the proposed algorithm over other researches is verified by the observation that the results are in the range of dual setting schemes.
KW - Directional overcurrent relay (docr)
KW - Metaheuristic optimization
KW - Nonlinear programming (nlp)
KW - Overcurrent protection
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U2 - 10.1109/JSYST.2019.2904383
DO - 10.1109/JSYST.2019.2904383
M3 - Article
AN - SCOPUS:85082112773
SN - 1932-8184
VL - 14
SP - 1171
EP - 1182
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 1
M1 - 8680630
ER -