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A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices

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Listed:
  • Tong Kang

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Jiangang Yao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • ThanhLong Duong

    (Department of Electrical Engineering, Industrial University of Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam)

  • Shengjie Yang

    (College of Computer and Information Engineering, Hunan University of Commerce, Changsha 410205, China)

  • Xiangqian Zhu

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

Abstract

Increasing demand for electricity has placed heavy stress on power system security. Therefore, this paper focuses on the problem of how to maximize power system static security in terms of branch loading and voltage level under normal operation and even the most critical single line contingency conditions. This paper proposes a hybrid approach to find out the optimal locations and settings of two classical types of flexible AC transmission system (FACTS) devices, namely thyristor-controlled series compensators (TCSCs) and static var compensators (SVCs) for solving this problem. Our proposed approach requires a two-step strategy. Firstly, the min cut algorithm (MCA) and tangent vector technique (TVT) are applied to determine the proper candidate locations of TCSC and SVC respectively so as to reduce the search scope for a solution to the problem, and then the cuckoo search algorithm (CSA) is employed to solve this problem by simultaneously optimizing the locations and settings for TCSC and SVC installation. The proposed hybrid approach has been verified on the IEEE 6-bus and modified IEEE 14-bus test systems. The results indicate that CSA outperforms particle swarm optimization (PSO), proving its effectiveness and potential, and they also show that our proposed hybrid approach can find the best locations and settings for TCSC and SVC devices as an effective way for enhancing power system static security by removing or alleviating the overloads and voltage violations under normal operation and even the most critical single line contingency conditions. Using this hybrid approach, the search space for solution to the problem becomes limited hence the computational burden will be decreased.

Suggested Citation

  • Tong Kang & Jiangang Yao & ThanhLong Duong & Shengjie Yang & Xiangqian Zhu, 2017. "A Hybrid Approach for Power System Security Enhancement via Optimal Installation of Flexible AC Transmission System (FACTS) Devices," Energies, MDPI, vol. 10(9), pages 1-32, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1305-:d:110622
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    References listed on IDEAS

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    1. Jordehi, A. Rezaee, 2015. "Particle swarm optimisation (PSO) for allocation of FACTS devices in electric transmission systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1260-1267.
    2. Aaron Praktiknjo, 2016. "The Value of Lost Load for Sectoral Load Shedding Measures: The German Case with 51 Sectors," Energies, MDPI, vol. 9(2), pages 1-17, February.
    3. Ikram Ullah & Wolfgang Gawlik & Peter Palensky, 2016. "Analysis of Power Network for Line Reactance Variation to Improve Total Transmission Capacity," Energies, MDPI, vol. 9(11), pages 1-20, November.
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    Cited by:

    1. Hana Merah & Abdelmalek Gacem & Djilani Ben Attous & Abderezak Lashab & Francisco Jurado & Mariam A. Sameh, 2022. "Sizing and Sitting of Static VAR Compensator (SVC) Using Hybrid Optimization of Combined Cuckoo Search (CS) and Antlion Optimization (ALO) Algorithms," Energies, MDPI, vol. 15(13), pages 1-20, July.
    2. Ewaoche John Okampo & Nnamdi Nwulu & Pitshou N. Bokoro, 2022. "Optimization of Voltage Security with Placement of FACTS Device Using Modified Newton–Raphson Approach: A Case Study of Nigerian Transmission Network," Energies, MDPI, vol. 15(12), pages 1-17, June.
    3. Ewaoche John Okampo & Nnamdi Nwulu & Pitshou N. Bokoro, 2022. "Optimal Placement and Operation of FACTS Technologies in a Cyber-Physical Power System: Critical Review and Future Outlook," Sustainability, MDPI, vol. 14(13), pages 1-26, June.
    4. Mohsen Khalili & Touhid Poursheykh Aliasghari & Ebrahim Seifi Najmi & Almoataz Y. Abdelaziz & A. Abu-Siada & Saber Arabi Nowdeh, 2022. "Optimal Allocation of Distributed Thyristor Controlled Series Compensators in Power System Considering Overload, Voltage, and Losses with Reliability Effect," Energies, MDPI, vol. 15(20), pages 1-25, October.
    5. Tong Kang & Jiangang Yao & Min Jin & Shengjie Yang & ThanhLong Duong, 2018. "A Novel Improved Cuckoo Search Algorithm for Parameter Estimation of Photovoltaic (PV) Models," Energies, MDPI, vol. 11(5), pages 1-31, April.
    6. Ashish Dandotia & Mukesh Kumar Gupta & Malay Kumar Banerjee & Suraj Kumar Singh & Bojan Đurin & Dragana Dogančić & Nikola Kranjčić, 2023. "Optimal Placement and Size of SVC with Cost-Effective Function Using Genetic Algorithm for Voltage Profile Improvement in Renewable Integrated Power Systems," Energies, MDPI, vol. 16(6), pages 1-20, March.
    7. Ismail Marouani & Tawfik Guesmi & Badr M. Alshammari & Khalid Alqunun & Ahmed S. Alshammari & Saleh Albadran & Hsan Hadj Abdallah & Salem Rahmani, 2023. "Optimized FACTS Devices for Power System Enhancement: Applications and Solving Methods," Sustainability, MDPI, vol. 15(12), pages 1-58, June.
    8. Ali Elkamel, 2018. "Energy Production Systems," Energies, MDPI, vol. 11(10), pages 1-4, September.

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