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Optimal Microgrid–Interactive Reactive Power Management for Day–Ahead Operation

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  • Martha N. Acosta

    (Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, 3918 Porsgrunn, Norway
    School of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León, San Nicolas de los Garza, NL 66455, Mexico)

  • Francisco Gonzalez-Longatt

    (Department of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, 3918 Porsgrunn, Norway)

  • Danijel Topić

    (Faculty of Electrical Engineering, Computer Science and Information, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia)

  • Manuel A. Andrade

    (School of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León, San Nicolas de los Garza, NL 66455, Mexico)

Abstract

The replacement of conventional generation sources by DER creates the need to carefully manage the reactive power maintaining the power system safe operation. The principal trend is to increase the DER volume connected to the distribution network in the coming years. Therefore, the microgrid represents an alternative to offer reactive power management due to excellent controllability features embedded in the DER, which enable effective interaction between the microgrid and the distribution network. This paper proposes a microgrid–iterative reactive power management approach of power-electronic converter based renewable technologies for day-ahead operation. It is designed to be a centralised control based on local measurements, which provides the optimal reactive power dispatch and minimise the total energy losses inside the microgrid and maintain the voltage profile within operational limits. The proposed optimal-centralised control is contrasted against seven local reactive power controls using a techno-economic approach considering the steady–state voltage profile, the energy losses, and the reactive power costs as performance metrics. Three different reactive power pricing are proposed. The numerical results demonstrate the optimal microgrid–interactive reactive power management is the most suitable techno-economic reactive power control for the day–ahead operation.

Suggested Citation

  • Martha N. Acosta & Francisco Gonzalez-Longatt & Danijel Topić & Manuel A. Andrade, 2021. "Optimal Microgrid–Interactive Reactive Power Management for Day–Ahead Operation," Energies, MDPI, vol. 14(5), pages 1-20, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1275-:d:505898
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    References listed on IDEAS

    as
    1. Soo-Bin Kim & Seung-Ho Song, 2020. "A Hybrid Reactive Power Control Method of Distributed Generation to Mitigate Voltage Rise in Low-Voltage Grid," Energies, MDPI, vol. 13(8), pages 1-15, April.
    2. Anaya, Karim L. & Pollitt, Michael G., 2020. "Reactive power procurement: A review of current trends," Applied Energy, Elsevier, vol. 270(C).
    3. Martha N. Acosta & Daniel Pettersen & Francisco Gonzalez-Longatt & Jaime Peredo Argos & Manuel A. Andrade, 2020. "Optimal Frequency Support of Variable-Speed Hydropower Plants at Telemark and Vestfold, Norway: Future Scenarios of Nordic Power System," Energies, MDPI, vol. 13(13), pages 1-25, July.
    4. SeokJu Kang & Jaewoo Kim & Jung-Wook Park & Seung-Mook Baek, 2019. "Reactive Power Management Based on Voltage Sensitivity Analysis of Distribution System with High Penetration of Renewable Energies," Energies, MDPI, vol. 12(8), pages 1-20, April.
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    Cited by:

    1. Martha N. Acosta & Francisco Gonzalez-Longatt & Manuel A. Andrade & José Luis Rueda Torres & Harold R. Chamorro, 2021. "Assessment of Daily Cost of Reactive Power Procurement by Smart Inverters," Energies, MDPI, vol. 14(16), pages 1-11, August.
    2. Nikola Simic & Luka Strezoski & Boris Dumnic, 2021. "Short-Circuit Analysis of DER-Based Microgrids in Connected and Islanded Modes of Operation," Energies, MDPI, vol. 14(19), pages 1-16, October.
    3. Nevena Srećković & Miran Rošer & Gorazd Štumberger, 2021. "Utilization of Active Distribution Network Elements for Optimization of a Distribution Network Operation," Energies, MDPI, vol. 14(12), pages 1-17, June.

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