IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i7p1206-d217849.html
   My bibliography  Save this article

Corrective Control by Line Switching for Relieving Voltage Violations Based on A Three-Stage Methodology

Author

Listed:
  • Zhengwei Shen

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Yong Tang

    (State Key Laboratory of Power Grid Security and Energy Conservation, China Electric Power Research Institute, Haidian District, Beijing 100192, China)

  • Jun Yi

    (State Key Laboratory of Power Grid Security and Energy Conservation, China Electric Power Research Institute, Haidian District, Beijing 100192, China)

  • Changsheng Chen

    (State Key Laboratory of Power Grid Security and Energy Conservation, China Electric Power Research Institute, Haidian District, Beijing 100192, China)

  • Bing Zhao

    (State Key Laboratory of Power Grid Security and Energy Conservation, China Electric Power Research Institute, Haidian District, Beijing 100192, China)

  • Guangru Zhang

    (Department of Power Supply Technology Center, State Grid Gansu Electric Power Research Institute, Lanzhou 730070, Gansu Province, China)

Abstract

An online line switching methodology to relieve voltage violations is proposed. This novel online methodology is based on a three-stage strategy, including screening, ranking, and detailed analysis and assessment stages for high speed (online application) and accuracy. The proposed online methodology performs the tasks of rapidly identifying effective candidate lines, ranking the effective candidates, performing detailed analysis of the top ranked candidates, and supplying a set of solutions for the power system. The post-switching power systems, after executing the proposed line switching action, meet the operational and engineering constraints. The results provided by the exact Alternating Current (AC) power flow are used as a benchmark to compare the speed and accuracy of the proposed three-stage methodology. One feature of the methodology is that it can provide a set of high-quality switching solutions from which operators may choose a preferred solution. The effectiveness of the proposed online line switching methodology in providing single-line switching and multiple-line switching solutions to relieve voltage violations is evaluated on the IEEE 39-bus and 2746-bus power system. The CPU time of the proposed methodology compared with that under AC power flow constitutes a speed-up of 9905.32% on a 2746-bus power system, showing good potential for online application in a large-scale power system.

Suggested Citation

  • Zhengwei Shen & Yong Tang & Jun Yi & Changsheng Chen & Bing Zhao & Guangru Zhang, 2019. "Corrective Control by Line Switching for Relieving Voltage Violations Based on A Three-Stage Methodology," Energies, MDPI, vol. 12(7), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1206-:d:217849
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/7/1206/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/7/1206/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bo Fu & Chenxi Ouyang & Chaoshun Li & Jinwen Wang & Eid Gul, 2019. "An Improved Mixed Integer Linear Programming Approach Based on Symmetry Diminishing for Unit Commitment of Hybrid Power System," Energies, MDPI, vol. 12(5), pages 1-14, March.
    2. Jiashen Teh & Chia Ai Ooi & Yu-Huei Cheng & Muhammad Ammirrul Atiqi Mohd Zainuri & Ching-Ming Lai, 2018. "Composite Reliability Evaluation of Load Demand Side Management and Dynamic Thermal Rating Systems," Energies, MDPI, vol. 11(2), pages 1-15, February.
    3. Fan Song & Yanling Wang & Hongbo Yan & Xiaofeng Zhou & Zhiqiang Niu, 2019. "Increasing the Utilization of Transmission Lines Capacity by Quasi-Dynamic Thermal Ratings," Energies, MDPI, vol. 12(5), pages 1-13, February.
    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. Anastasios Dounis, 2019. "Special Issue “Intelligent Control in Energy Systems”," Energies, MDPI, vol. 12(15), pages 1-9, August.

    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. Zhao Liu & Honglei Deng & Ruidong Peng & Xiangyang Peng & Rui Wang & Wencheng Zheng & Pengyu Wang & Deming Guo & Gang Liu, 2020. "An Equivalent Heat Transfer Model Instead of Wind Speed Measuring for Dynamic Thermal Rating of Transmission Lines," Energies, MDPI, vol. 13(18), pages 1-18, September.
    2. P. M. R. Bento & S. J. P. S. Mariano & M. R. A. Calado & L. A. F. M. Ferreira, 2020. "A Novel Lagrangian Multiplier Update Algorithm for Short-Term Hydro-Thermal Coordination," Energies, MDPI, vol. 13(24), pages 1-19, December.
    3. Ussama Assad & Muhammad Arshad Shehzad Hassan & Umar Farooq & Asif Kabir & Muhammad Zeeshan Khan & S. Sabahat H. Bukhari & Zain ul Abidin Jaffri & Judit Oláh & József Popp, 2022. "Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods," Energies, MDPI, vol. 15(6), pages 1-36, March.
    4. Jun-Mo Kim & Jeong Lee & Jin-Wook Kim & Junsin Yi & Chung-Yuen Won, 2021. "Power Conversion System Operation to Reduce the Electricity Purchasing Cost of Energy Storage Systems," Energies, MDPI, vol. 14(16), pages 1-20, August.
    5. Manzano, J.M. & Salvador, J.R. & Romaine, J.B. & Alvarado-Barrios, L., 2022. "Economic predictive control for isolated microgrids based on real world demand/renewable energy data and forecast errors," Renewable Energy, Elsevier, vol. 194(C), pages 647-658.
    6. Jiashen Teh, 2018. "Adequacy Assessment of Wind Integrated Generating Systems Incorporating Demand Response and Battery Energy Storage System," Energies, MDPI, vol. 11(10), pages 1-12, October.
    7. Zhe Lv & Zengping Wang & Wanyu Xu, 2019. "A Techno-Economic Study of 100% Renewable Energy for a Residential Household in China," Energies, MDPI, vol. 12(11), pages 1-17, June.
    8. Hussein Jumma Jabir & Jiashen Teh & Dahaman Ishak & Hamza Abunima, 2018. "Impacts of Demand-Side Management on Electrical Power Systems: A Review," Energies, MDPI, vol. 11(5), pages 1-19, April.
    9. Hussein Jumma Jabir & Jiashen Teh & Dahaman Ishak & Hamza Abunima, 2018. "Impact of Demand-Side Management on the Reliability of Generation Systems," Energies, MDPI, vol. 11(8), pages 1-20, August.
    10. L. Alvarado-Barrios & A. Rodríguez del Nozal & A. Tapia & J. L. Martínez-Ramos & D. G. Reina, 2019. "An Evolutionary Computational Approach for the Problem of Unit Commitment and Economic Dispatch in Microgrids under Several Operation Modes," Energies, MDPI, vol. 12(11), pages 1-23, June.
    11. Mohamad, Farihan & Teh, Jiashen & Lai, Ching-Ming, 2021. "Optimum allocation of battery energy storage systems for power grid enhanced with solar energy," Energy, Elsevier, vol. 223(C).
    12. Hassan Shokouhandeh & Mehrdad Ahmadi Kamarposhti & Ilhami Colak & Kei Eguchi, 2021. "Unit Commitment for Power Generation Systems Based on Prices in Smart Grid Environment Considering Uncertainty," Sustainability, MDPI, vol. 13(18), pages 1-13, September.
    13. Hassan Khan & Adnan Khan & Maysaa Al-Qurashi & Rasool Shah & Dumitru Baleanu, 2020. "Modified Modelling for Heat Like Equations within Caputo Operator," Energies, MDPI, vol. 13(8), pages 1-14, April.
    14. Hao Ma & Jian Pan & Lei Lv & Guanghui Xu & Feng Ding & Ahmed Alsaedi & Tasawar Hayat, 2019. "Recursive Algorithms for Multivariable Output-Error-Like ARMA Systems," Mathematics, MDPI, vol. 7(6), pages 1-18, June.
    15. Chim Pui Leung & Ka Wai Eric Cheng, 2021. "Design, Analysis and Implementation of the Tapped-Inductor Boost Current Converter on Current Based System," Energies, MDPI, vol. 14(4), pages 1-21, February.
    16. Feng Ding & Jian Pan & Ahmed Alsaedi & Tasawar Hayat, 2019. "Gradient-Based Iterative Parameter Estimation Algorithms for Dynamical Systems from Observation Data," Mathematics, MDPI, vol. 7(5), pages 1-15, May.
    17. Rajitha Udawalpola & Taisuke Masuta & Taisei Yoshioka & Kohei Takahashi & Hideaki Ohtake, 2021. "Reduction of Power Imbalances Using Battery Energy Storage System in a Bulk Power System with Extremely Large Photovoltaics Interactions," Energies, MDPI, vol. 14(3), pages 1-27, January.
    18. Fan Song & Yanling Wang & Hongbo Yan & Xiaofeng Zhou & Zhiqiang Niu, 2019. "Increasing the Utilization of Transmission Lines Capacity by Quasi-Dynamic Thermal Ratings," Energies, MDPI, vol. 12(5), pages 1-13, February.
    19. Zhang, Changbing & Cao, Wenzhe & Xie, Tingting & Wang, Chongxun & Shen, Chunhe & Wen, Xiankui & Mao, Cheng, 2022. "Operational characteristics and optimization of Hydro-PV power hybrid electricity system," Renewable Energy, Elsevier, vol. 200(C), pages 601-613.
    20. Lijuan Wan & Ximei Liu & Feng Ding & Chunping Chen, 2019. "Decomposition Least-Squares-Based Iterative Identification Algorithms for Multivariable Equation-Error Autoregressive Moving Average Systems," Mathematics, MDPI, vol. 7(7), pages 1-20, July.

    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:12:y:2019:i:7:p:1206-:d:217849. 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.