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Spatial Model of Optimization Applied in the Distributed Generation Photovoltaic to Adjust Voltage Levels

Author

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  • José A. G. Cararo

    (Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
    Agroindustrial Automation and Precision Agriculture (AutoAgri), Federal Institute Goiano, Trindade 75389-269, Brazil)

  • João Caetano Neto

    (Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
    ENEL Distribution S.A./Goias, Goiania 74805-180, Brazil)

  • Wagner A. Vilela Júnior

    (Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
    ENEL Distribution S.A./Goias, Goiania 74805-180, Brazil)

  • Márcio R. C. Reis

    (Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
    Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias, Goiania 75250-000, Brazil)

  • Gabriel A. Wainer

    (Visualization, Simulation and Modeling, Carleton University, Ottawa, ON K1S 5B6, Canada)

  • Paulo V. dos Santos

    (Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
    Imaging Research Center, Albert Einstein Israelite Hospital, Sao Paulo 05652-900, Brazil)

  • Wesley P. Calixto

    (Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74690-900, Brazil
    Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias, Goiania 75250-000, Brazil)

Abstract

The main objective of this work is to develop a methodology for analyzing the quality of the voltage level in the distribution power grid to identify and reduce the violations of voltage limits through the proposition of optimal points for the allocation of photovoltaic distributed generation. The methodology uses the geographic location of the power grid and its consumers to perform the grouping and classification in spatial grids of 100 × 100 m using the average annual consumption profile. The generated profiles, including the grid information, are sent to the photovoltaic distributed generation allocation algorithm, which, using an optimization process, identifies the geographic location, the required installed capacity, and the minimum number of photovoltaic generation units that must be inserted to minimize the violations of voltage limits, respecting the necessary restrictions. The entire proposal is applied in a real feeder with thousands of bars, whose model is validated with measurements carried out in the field. Different violations of voltage limits scenarios are used to validate the methodology, obtaining grids with better voltage quality after the optimized allocation of photovoltaic distributed generation. The proposal presents itself as a new tool in the work of adapting the voltage of the distribution power grid using photovoltaic distributed generation.

Suggested Citation

  • José A. G. Cararo & João Caetano Neto & Wagner A. Vilela Júnior & Márcio R. C. Reis & Gabriel A. Wainer & Paulo V. dos Santos & Wesley P. Calixto, 2021. "Spatial Model of Optimization Applied in the Distributed Generation Photovoltaic to Adjust Voltage Levels," Energies, MDPI, vol. 14(22), pages 1-37, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7506-:d:675986
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    References listed on IDEAS

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    1. Singh, Bindeshwar & Mukherjee, V. & Tiwari, Prabhakar, 2015. "A survey on impact assessment of DG and FACTS controllers in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 846-882.
    2. Hung, Duong Quoc & Mithulananthan, N., 2014. "Loss reduction and loadability enhancement with DG: A dual-index analytical approach," Applied Energy, Elsevier, vol. 115(C), pages 233-241.
    3. Soroudi, Alireza & Ehsan, Mehdi, 2010. "A distribution network expansion planning model considering distributed generation options and techo-economical issues," Energy, Elsevier, vol. 35(8), pages 3364-3374.
    4. Sultana, U. & Khairuddin, Azhar B. & Aman, M.M. & Mokhtar, A.S. & Zareen, N., 2016. "A review of optimum DG placement based on minimization of power losses and voltage stability enhancement of distribution system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 363-378.
    5. Prakash, Prem & Khatod, Dheeraj K., 2016. "Optimal sizing and siting techniques for distributed generation in distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 111-130.
    6. Rashid Latief & Lin Lefen, 2019. "Foreign Direct Investment in the Power and Energy Sector, Energy Consumption, and Economic Growth: Empirical Evidence from Pakistan," Sustainability, MDPI, vol. 11(1), pages 1-21, January.
    7. Viral, Rajkumar & Khatod, D.K., 2012. "Optimal planning of distributed generation systems in distribution system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 5146-5165.
    8. Hunt., Julian David & Stilpen, Daniel & de Freitas, Marcos Aurélio Vasconcelos, 2018. "A review of the causes, impacts and solutions for electricity supply crises in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 208-222.
    9. Zangiabadi, Mansoureh & Feuillet, Rene & Lesani, Hamid & Hadj-Said, Nouredine & Kvaløy, Jan T., 2011. "Assessing the performance and benefits of customer distributed generation developers under uncertainties," Energy, Elsevier, vol. 36(3), pages 1703-1712.
    10. Howell, Shaun & Rezgui, Yacine & Hippolyte, Jean-Laurent & Jayan, Bejay & Li, Haijiang, 2017. "Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 193-214.
    11. Mohammad Zohrul Islam & Noor Izzri Abdul Wahab & Veerapandiyan Veerasamy & Hashim Hizam & Nashiren Farzilah Mailah & Josep M. Guerrero & Mohamad Nasrun Mohd Nasir, 2020. "A Harris Hawks Optimization Based Single- and Multi-Objective Optimal Power Flow Considering Environmental Emission," Sustainability, MDPI, vol. 12(13), pages 1-25, June.
    12. Tronchin, Lamberto & Manfren, Massimiliano & Nastasi, Benedetto, 2018. "Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 341-353.
    13. Wagner A. Vilela Junior & Antonio P. Coimbra & Gabriel A. Wainer & Joao Caetano Neto & Jose A. G. Cararo & Marcio R. C. Reis & Paulo V. Santos & Wesley P. Calixto, 2021. "Analysis and Adequacy Methodology for Voltage Violations in Distribution Power Grid," Energies, MDPI, vol. 14(14), pages 1-21, July.
    14. Sohail Sarwar & Hazlie Mokhlis & Mohamadariff Othman & Munir Azam Muhammad & J. A. Laghari & Nurulafiqah Nadzirah Mansor & Hasmaini Mohamad & Alireza Pourdaryaei, 2020. "A Mixed Integer Linear Programming Based Load Shedding Technique for Improving the Sustainability of Islanded Distribution Systems," Sustainability, MDPI, vol. 12(15), pages 1-23, August.
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