Research Article

Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms

Volume: 4 Number: 3 October 31, 2024

Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms

Abstract

Reconfiguration of the power distribution system allows for minimal real power losses and compliance with the required bus voltage limits of the power system. This paper proposes the network reconfiguration of the IEEE 33-bus radial distribution system using heuristic optimization algorithms. This problem-solving approach has the advantage of identifying the optimal system configuration solution by evaluating all possible solutions to the problem. The least power losses, voltage deviation, and compliance with the required bus voltage limits of the power system determine the optimal solution. To solve this problem, three types of heuristic optimization algorithms are used: Particle Swarm Optimization (PSO), Multi-Verse Optimization (MVO), and Grey Wolf Optimization (GWO). Using heuristic optimization algorithms to solve the reconfiguration problem, the active power losses of the power distribution system decreased by 46%. The optimal results obtained using the GWO algorithm are compiled in less time than other algorithms.

Keywords

References

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Details

Primary Language

English

Subjects

Electrical Energy Transmission, Networks and Systems

Journal Section

Research Article

Publication Date

October 31, 2024

Submission Date

June 21, 2024

Acceptance Date

August 21, 2024

Published in Issue

Year 2024 Volume: 4 Number: 3

APA
Akmayeva, D., Uzun, U. E., & Pamuk, N. (2024). Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms. Turkish Journal of Electrical Power and Energy Systems, 4(3), 135-141. https://doi.org/10.5152/tepes.2024.24015
AMA
1.Akmayeva D, Uzun UE, Pamuk N. Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms. TEPES. 2024;4(3):135-141. doi:10.5152/tepes.2024.24015
Chicago
Akmayeva, Diana, Umut Emre Uzun, and Nihat Pamuk. 2024. “Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms”. Turkish Journal of Electrical Power and Energy Systems 4 (3): 135-41. https://doi.org/10.5152/tepes.2024.24015.
EndNote
Akmayeva D, Uzun UE, Pamuk N (October 1, 2024) Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms. Turkish Journal of Electrical Power and Energy Systems 4 3 135–141.
IEEE
[1]D. Akmayeva, U. E. Uzun, and N. Pamuk, “Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms”, TEPES, vol. 4, no. 3, pp. 135–141, Oct. 2024, doi: 10.5152/tepes.2024.24015.
ISNAD
Akmayeva, Diana - Uzun, Umut Emre - Pamuk, Nihat. “Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms”. Turkish Journal of Electrical Power and Energy Systems 4/3 (October 1, 2024): 135-141. https://doi.org/10.5152/tepes.2024.24015.
JAMA
1.Akmayeva D, Uzun UE, Pamuk N. Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms. TEPES. 2024;4:135–141.
MLA
Akmayeva, Diana, et al. “Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms”. Turkish Journal of Electrical Power and Energy Systems, vol. 4, no. 3, Oct. 2024, pp. 135-41, doi:10.5152/tepes.2024.24015.
Vancouver
1.Diana Akmayeva, Umut Emre Uzun, Nihat Pamuk. Reconfiguration of Distribution Power Systems Using Heuristic Optimization Algorithms. TEPES. 2024 Oct. 1;4(3):135-41. doi:10.5152/tepes.2024.24015