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Coordinated Voltage Control in Distribution Network with the Presence of DGs and Variable Loads Using Pareto and Fuzzy Logic

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Listed:
  • José Raúl Castro

    (Departamento de Ciencias de la Computación y Electrónica, Universidad Técnica Particular de Loja, Loja 11-01-608, Ecuador
    Power Electronics and Industrial Control Research Group (GREPCI), Ecole de technologie supérieure, Montréal, QC H3C 1K3, Canada)

  • Maarouf Saad

    (Department of Electrical Engineering, Ecole de technologie supérieure, 1100, Notre–Dame Ouest, Montréal, QC H3C 1K3, Canada
    These authors contributed equally to this work.)

  • Serge Lefebvre

    (Hydro-Québec’s research institute (IREQ), 1800, boul. Lionel-Boulet, Varennes, QC J3X 1S3, Canada
    These authors contributed equally to this work.)

  • Dalal Asber

    (Hydro-Québec’s research institute (IREQ), 1800, boul. Lionel-Boulet, Varennes, QC J3X 1S3, Canada
    These authors contributed equally to this work.)

  • Laurent Lenoir

    (Hydro-Québec’s research institute (IREQ), 1800, boul. Lionel-Boulet, Varennes, QC J3X 1S3, Canada
    These authors contributed equally to this work.)

Abstract

This paper presents an efficient algorithm to solve the multi-objective (MO) voltage control problem in distribution networks. The proposed algorithm minimizes the following three objectives: voltage variation on pilot buses, reactive power production ratio deviation, and generator voltage deviation. This work leverages two optimization techniques: fuzzy logic to find the optimum value of the reactive power of the distributed generation (DG) and Pareto optimization to find the optimal value of the pilot bus voltage so that this produces lower losses under the constraints that the voltage remains within established limits. Variable loads and DGs are taken into account in this paper. The algorithm is tested on an IEEE 13-node test feeder and the results show the effectiveness of the proposed model.

Suggested Citation

  • José Raúl Castro & Maarouf Saad & Serge Lefebvre & Dalal Asber & Laurent Lenoir, 2016. "Coordinated Voltage Control in Distribution Network with the Presence of DGs and Variable Loads Using Pareto and Fuzzy Logic," Energies, MDPI, vol. 9(2), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:2:p:107-:d:63916
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    References listed on IDEAS

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    1. Ying-Yi Hong & Yuan-Ming Lai & Yung-Ruei Chang & Yih-Der Lee & Pang-Wei Liu, 2015. "Optimizing Capacities of Distributed Generation and Energy Storage in a Small Autonomous Power System Considering Uncertainty in Renewables," Energies, MDPI, vol. 8(4), pages 1-20, March.
    2. Yajing Gao & Jianpeng Liu & Jin Yang & Haifeng Liang & Jiancheng Zhang, 2014. "Multi-Objective Planning of Multi-Type Distributed Generation Considering Timing Characteristics and Environmental Benefits," Energies, MDPI, vol. 7(10), pages 1-16, September.
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    Cited by:

    1. David Raz & Yuval Beck, 2020. "An Operational Approach to Multi-Objective Optimization for Volt-VAr Control," Energies, MDPI, vol. 13(22), pages 1-14, November.
    2. Salem Alkhalaf & Tomonobu Senjyu & Ayat Ali Saleh & Ashraf M. Hemeida & Al-Attar Ali Mohamed, 2019. "A MODA and MODE Comparison for Optimal Allocation of Distributed Generations with Different Load Levels," Sustainability, MDPI, vol. 11(19), pages 1-18, September.

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