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Reactive Compensation Planning in Unbalanced Electrical Power Systems

Author

Listed:
  • Jair Salazar

    (Master’s Program in Electricity, Salesian Polytechnic University, Quito EC170702, Ecuador)

  • Diego Carrión

    (Smart Grid Research Group—GIREI (Spanish Acronym), Salesian Polytechnic University, Quito EC170702, Ecuador)

  • Manuel Jaramillo

    (Smart Grid Research Group—GIREI (Spanish Acronym), Salesian Polytechnic University, Quito EC170702, Ecuador)

Abstract

This research focuses on finding the optimal location of reactive compensation in an unbalanced electrical power system (EPS). An EPS is named unbalanced when there is uncertainty in the behaviour of the power demand, which causes changes in the voltage profile and angle of each of the electrical power phases. For this reason, using reactive compensation will improve the voltage profiles and the magnitudes of reactive power in the transmission lines. The proposed methodology uses the optimal AC power flows as a basis, which is applied to each power phase and, through this methodology, the operating conditions of the EPS are determined. Then, based on the voltage profiles of each power phase, it was possible to determine the critical nodes of the system, so that afterwards, through heuristics, it was possible to find the optimal location of the reactive compensation that independently meets the needs of each phase. To evaluate the proposed methodology, the IEEE test systems of 9, 14, 30 and 118 bus bars were used, as well as the 230 kV ring of the Ecuadorian transmission system. Finally, using the proposed methodology, it was possible to independently compensate for each of the power phases, rectifying the unbalanced voltage profiles that appeared in the EPS.

Suggested Citation

  • Jair Salazar & Diego Carrión & Manuel Jaramillo, 2022. "Reactive Compensation Planning in Unbalanced Electrical Power Systems," Energies, MDPI, vol. 15(21), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:8048-:d:957183
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    References listed on IDEAS

    as
    1. Shojaei, Amir Hossein & Ghadimi, Ali Asghar & Miveh, Mohammad Reza & Gandoman, Foad H. & Ahmadi, Abdollah, 2021. "Multiobjective reactive power planning considering the uncertainties of wind farms and loads using Information Gap Decision Theory," Renewable Energy, Elsevier, vol. 163(C), pages 1427-1443.
    2. Paul Masache & Diego Carrión & Jorge Cárdenas, 2021. "Optimal Transmission Line Switching to Improve the Reliability of the Power System Considering AC Power Flows," Energies, MDPI, vol. 14(11), pages 1-17, June.
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