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Optimal Power Systems Restoration Based on Energy Quality and Stability Criteria

Author

Listed:
  • Francisco Quinteros

    (Smart Electric Grids Research Group GIREI (Spanish Acronym), Salesian Polytechnic University, Quito 170702, Ecuador)

  • Diego Carrión

    (Smart Electric Grids Research Group GIREI (Spanish Acronym), Salesian Polytechnic University, Quito 170702, Ecuador)

  • Manuel Jaramillo

    (Smart Electric Grids Research Group GIREI (Spanish Acronym), Salesian Polytechnic University, Quito 170702, Ecuador)

Abstract

Electric power systems (EPS) are exposed to disconnections of their elements, such as transmission lines and generation units, due to meteorological factors or electrical failures. Thus, this research proposes a smart methodology for the re-entry of elements that have been disconnected from the EPS due to unforeseen events. This methodology is based on optimal AC power flows (OPF-AC) which allow verifying the state of variables such as voltage, angular deviation, and power (these variables are monitored in normal and fault conditions). The proposed study considers contingencies N-2, N-3, N-4, and N-5, for which the disconnection of transmission lines and generation units are carried out randomly. The analysis of the EPS after the disconnections of the elements is carried out by means of the contingency index, with which the impact that the disconnections of the elements have on the EPS is verified. In this way, the optimal route is generated to restore the elements that went out of operation, verifying that when the elements re-enter the acceptable limits, voltage and voltage angle are not exceeded. According to the results of the methodology used, it was found that NM contingencies can be applied in the proposed model, in addition to considering stability restrictions, modeled as restrictions on acceptable voltage limits, and a new restriction for the voltage angle between the differences of the bars.

Suggested Citation

  • Francisco Quinteros & Diego Carrión & Manuel Jaramillo, 2022. "Optimal Power Systems Restoration Based on Energy Quality and Stability Criteria," Energies, MDPI, vol. 15(6), pages 1-23, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2062-:d:769187
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    References listed on IDEAS

    as
    1. Ping Jiang & Qiwei Chen, 2018. "An Optimal Source-Load Coordinated Restoration Method Considering Double Uncertainty," Energies, MDPI, vol. 11(3), pages 1-18, March.
    2. Zelan Li & Yijia Cao & Le Van Dai & Xiaoliang Yang & Thang Trung Nguyen, 2019. "Optimal Power Flow for Transmission Power Networks Using a Novel Metaheuristic Algorithm," Energies, MDPI, vol. 12(22), pages 1-36, November.
    3. Paulo Murinelli Pesoti & Eliane Valença De Lorenci & Antonio Carlos Zambroni de Souza & Kwok Lun Lo & Benedito Isaias Lima Lopes, 2017. "Robustness Area Technique Developing Guidelines for Power System Restoration," Energies, MDPI, vol. 10(1), pages 1-16, January.
    4. Changcheng Li & Jinghan He & Pei Zhang & Yin Xu, 2017. "A Novel Sectionalizing Method for Power System Parallel Restoration Based on Minimum Spanning Tree," Energies, MDPI, vol. 10(7), pages 1-21, July.
    5. Ebrahim Rokrok & Miadreza Shafie-khah & Pierluigi Siano & João P. S. Catalão, 2017. "A Decentralized Multi-Agent-Based Approach for Low Voltage Microgrid Restoration," Energies, MDPI, vol. 10(10), pages 1-20, September.
    6. Diego Carrión & Edwin García & Manuel Jaramillo & Jorge W. González, 2021. "A Novel Methodology for Optimal SVC Location Considering N-1 Contingencies and Reactive Power Flows Reconfiguration," Energies, MDPI, vol. 14(20), pages 1-17, October.
    7. Han Zhang & Gengfeng Li & Hanjie Yuan, 2018. "Collaborative Optimization of Post-Disaster Damage Repair and Power System Operation," Energies, MDPI, vol. 11(10), pages 1-21, September.
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    Cited by:

    1. Jaime Pilatásig & Diego Carrión & Manuel Jaramillo, 2022. "Resilience Maximization in Electrical Power Systems through Switching of Power Transmission Lines," Energies, MDPI, vol. 15(21), pages 1-15, November.
    2. Juan Toctaquiza & Diego Carrión & Manuel Jaramillo, 2023. "An Electrical Power System Reconfiguration Model Based on Optimal Transmission Switching under Scenarios of Intentional Attacks," Energies, MDPI, vol. 16(6), pages 1-17, March.
    3. Karol Jakub Listewnik, 2022. "A Method for the Evaluation of Power-Generating Sets Based on the Assessment of Power Quality Parameters," Energies, MDPI, vol. 15(14), pages 1-24, July.

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