IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i2p107-d63916.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/2/107/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/9/2/107/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Theo, Wai Lip & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2017. "Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 531-573.
    2. Hou, Hui & Xu, Tao & Wu, Xixiu & Wang, Huan & Tang, Aihong & Chen, Yangyang, 2020. "Optimal capacity configuration of the wind-photovoltaic-storage hybrid power system based on gravity energy storage system," Applied Energy, Elsevier, vol. 271(C).
    3. Qingwu Gong & Jiazhi Lei & Jun Ye, 2016. "Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Cost of Operation Risk," Energies, MDPI, vol. 9(1), pages 1-18, January.
    4. Kaiye Gao & Tianshi Wang & Chenjing Han & Jinhao Xie & Ye Ma & Rui Peng, 2021. "A Review of Optimization of Microgrid Operation," Energies, MDPI, vol. 14(10), pages 1-39, May.
    5. Ashraf Ramadan & Mohamed Ebeed & Salah Kamel & Almoataz Y. Abdelaziz & Hassan Haes Alhelou, 2021. "Scenario-Based Stochastic Framework for Optimal Planning of Distribution Systems Including Renewable-Based DG Units," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    6. Mingqi Wang & Xinqiao Zheng, 2017. "Sensitivity Analysis of Time Length of Photovoltaic Output Power to Capacity Configuration of Energy Storage Systems," Energies, MDPI, vol. 10(10), pages 1-15, October.
    7. Xiangang Peng & Lixiang Lin & Weiqin Zheng & Yi Liu, 2015. "Crisscross Optimization Algorithm and Monte Carlo Simulation for Solving Optimal Distributed Generation Allocation Problem," Energies, MDPI, vol. 8(12), pages 1-19, December.
    8. Maher Selim & Ryan Zhou & Wenying Feng & Peter Quinsey, 2021. "Estimating Energy Forecasting Uncertainty for Reliable AI Autonomous Smart Grid Design," Energies, MDPI, vol. 14(1), pages 1-15, January.
    9. Shan Deng & Qinghua Wu & Zhaoxia Jing & Lilan Wu & Feng Wei & Xiaoxin Zhou, 2017. "Optimal Capacity Configuration for Energy Hubs Considering Part-Load Characteristics of Generation Units," Energies, MDPI, vol. 10(12), pages 1-19, November.
    10. Wei-Tzer Huang & Tsai-Hsiang Chen & Hong-Ting Chen & Jhih-Siang Yang & Kuo-Lung Lian & Yung-Ruei Chang & Yih-Der Lee & Yuan-Hsiang Ho, 2015. "A Two-stage Optimal Network Reconfiguration Approach for Minimizing Energy Loss of Distribution Networks Using Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 8(12), pages 1-17, December.
    11. Yajing Gao & Wenhai Yang & Jing Zhu & Jiafeng Ren & Peng Li, 2017. "Evaluating the Effect of Distributed Generation on Power Supply Capacity in Active Distribution System Based on Sensitivity Analysis," Energies, MDPI, vol. 10(10), pages 1-14, September.
    12. Mariaud, Arthur & Acha, Salvador & Ekins-Daukes, Ned & Shah, Nilay & Markides, Christos N., 2017. "Integrated optimisation of photovoltaic and battery storage systems for UK commercial buildings," Applied Energy, Elsevier, vol. 199(C), pages 466-478.
    13. Shenbo Yang & Zhongfu Tan & Liwei Ju & Hongyu Lin & Gejirifu De & Qingkun Tan & Feng’ao Zhou, 2018. "An Income Distributing Optimization Model for Cooperative Operation among Different Types of Power Sellers Considering Different Scenarios," Energies, MDPI, vol. 11(11), pages 1-24, October.
    14. Angelo Algieri, 2018. "Energy Exploitation of High-Temperature Geothermal Sources in Volcanic Areas—a Possible ORC Application in Phlegraean Fields (Southern Italy)," Energies, MDPI, vol. 11(3), pages 1-17, March.
    15. Hong Li & Xiaodan Wang & Jie Duan & Feifan Chen & Yajing Gao, 2018. "Locating Optimization of an Integrated Energy Supply Centre in a Typical New District Based on the Load Density," Energies, MDPI, vol. 11(4), pages 1-22, April.
    16. James Hamilton & Michael Negnevitsky & Xiaolin Wang & Evgenii Semshchikov, 2020. "The Role of Low-Load Diesel in Improved Renewable Hosting Capacity within Isolated Power Systems," Energies, MDPI, vol. 13(16), pages 1-15, August.
    17. Reza Ahmadi Kordkheili & Seyyed Ali Pourmousavi & Mehdi Savaghebi & Josep M. Guerrero & Mohammad Hashem Nehrir, 2016. "Assessing the Potential of Plug-in Electric Vehicles in Active Distribution Networks," Energies, MDPI, vol. 9(1), pages 1-17, January.
    18. Ying-Yi Hong & Yong-Zhen Lai & Yung-Ruei Chang & Yih-Der Lee & Chia-Hui Lin, 2018. "Optimizing Energy Storage Capacity in Islanded Microgrids Using Immunity-Based Multiobjective Planning," Energies, MDPI, vol. 11(3), pages 1-15, March.
    19. Melchiorre Casisi & Stefano Costanzo & Piero Pinamonti & Mauro Reini, 2018. "Two-Level Evolutionary Multi-objective Optimization of a District Heating System with Distributed Cogeneration," Energies, MDPI, vol. 12(1), pages 1-23, December.
    20. Theo, Wai Lip & Lim, Jeng Shiun & Wan Alwi, Sharifah Rafidah & Mohammad Rozali, Nor Erniza & Ho, Wai Shin & Abdul-Manan, Zainuddin, 2016. "An MILP model for cost-optimal planning of an on-grid hybrid power system for an eco-industrial park," Energy, Elsevier, vol. 116(P2), pages 1423-1441.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:9:y:2016:i:2:p:107-:d:63916. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.