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Optimal Capacitor Bank Allocation in Electricity Distribution Networks Using Metaheuristic Algorithms

Author

Listed:
  • Ovidiu Ivanov

    (Department of Power Engineering, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania)

  • Bogdan-Constantin Neagu

    (Department of Power Engineering, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania)

  • Gheorghe Grigoras

    (Department of Power Engineering, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania)

  • Mihai Gavrilas

    (Department of Power Engineering, Gheorghe Asachi Technical University of Iasi, 700050 Iasi, Romania)

Abstract

Energy losses and bus voltage levels are key parameters in the operation of electricity distribution networks (EDN), in traditional operating conditions or in modern microgrids with renewable and distributed generation sources. Smart grids are set to bring hardware and software tools to improve the operation of electrical networks, using state-of the art demand management at home or system level and advanced network reconfiguration tools. However, for economic reasons, many network operators will still have to resort to low-cost management solutions, such as bus reactive power compensation using optimally placed capacitor banks. This paper approaches the problem of power and energy loss minimization by optimal allocation of capacitor banks (CB) in medium voltage (MV) EDN buses. A comparison is made between five metaheuristic algorithms used for this purpose: the well-established Genetic Algorithm (GA); Particle Swarm Optimization (PSO); and three newer metaheuristics, the Bat Optimization Algorithm (BOA), the Whale Optimization Algorithm (WOA) and the Sperm-Whale Algorithm (SWA). The algorithms are tested on the IEEE 33-bus system and on a real 215-bus EDN from Romania. The newest SWA algorithm gives the best results, for both test systems.

Suggested Citation

  • Ovidiu Ivanov & Bogdan-Constantin Neagu & Gheorghe Grigoras & Mihai Gavrilas, 2019. "Optimal Capacitor Bank Allocation in Electricity Distribution Networks Using Metaheuristic Algorithms," Energies, MDPI, vol. 12(22), pages 1-36, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4239-:d:284323
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    References listed on IDEAS

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    Cited by:

    1. Minsheng Yang & Jianqi Li & Rui Du & Jianying Li & Jian Sun & Xiaofang Yuan & Jiazhu Xu & Shifu Huang, 2022. "Reactive Power Optimization Model for Distribution Networks Based on the Second-Order Cone and Interval Optimization," Energies, MDPI, vol. 15(6), pages 1-16, March.
    2. Meraa Arab & Waleed Fadel, 2024. "Optimal Reactive Power Flow of AC-DC Power System with Shunt Capacitors Using Backtracking Search Algorithm," Energies, MDPI, vol. 17(3), pages 1-15, February.
    3. Shailendra Rajput & Ido Amiel & Moshe Sitbon & Ilan Aharon & Moshe Averbukh, 2020. "Control the Voltage Instabilities of Distribution Lines using Capacitive Reactive Power," Energies, MDPI, vol. 13(4), pages 1-12, February.

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