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Sizing and Sitting of Static VAR Compensator (SVC) Using Hybrid Optimization of Combined Cuckoo Search (CS) and Antlion Optimization (ALO) Algorithms

Author

Listed:
  • Hana Merah

    (VTRS Laboratory, Department of Electrical Engineering, University of El-Oued, El-Oued 39000, Algeria)

  • Abdelmalek Gacem

    (VTRS Laboratory, Department of Electrical Engineering, University of El-Oued, El-Oued 39000, Algeria)

  • Djilani Ben Attous

    (VTRS Laboratory, Department of Electrical Engineering, University of El-Oued, El-Oued 39000, Algeria)

  • Abderezak Lashab

    (Department of Energy Technology, University of Aalborg, 9220 Aalborg East, Denmark)

  • Francisco Jurado

    (Department of Electrical Engineering, University of Jaen, 23700 Linares, Spain)

  • Mariam A. Sameh

    (Department of Electrical Engineering, Future University in Egypt (FUE), Cairo 11835, Egypt)

Abstract

Worldwide, due to the abrupt growth of population, the load demand has been rising dramatically in the last few years. This led to an increase in branch overloads, voltage deviations, and power losses. These problems may result in line outages or the occurrence of blackouts. Flexible AC transmission system (FACTS) devices can be installed in the power system to ensure increased power flow capability and flexible voltage control to address these issues. In this paper, one of the most used FACTS is utilised. It is called Static VAR Compensator (SVC). This controller is one of the most commonly used shunt FACTS controllers due to its low cost in comparison to others, ease of operation, and integration into the power grid. Two Optimization algorithms are combined to form a hybrid optimization approach: Cuckoo Search (CS) and Antlion Optimization (ALO). This hybrid approach employs the exploration of ALO to adjust the optimum allocation and size for SVCs in the power system. This study proposes the IEEE 57 bus scheme as a fairly large structure, with the 50 and 41 branch outages considered the worst-case scenarios for line outages in this system. The simulation results show that the proposed methodology balances exploring the research space and exploiting the best existing solutions compared to some of the other introduced approaches in the literature.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4852-:d:854295
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    References listed on IDEAS

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    1. Thang Trung Nguyen & Fazel Mohammadi, 2020. "Optimal Placement of TCSC for Congestion Management and Power Loss Reduction Using Multi-Objective Genetic Algorithm," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    2. 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.
    3. Muhammad Nadeem & Kashif Imran & Abraiz Khattak & Abasin Ulasyar & Anamitra Pal & Muhammad Zulqarnain Zeb & Atif Naveed Khan & Malhar Padhee, 2020. "Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network Using Whale Optimization Algorithm," Energies, MDPI, vol. 13(3), pages 1-24, February.
    4. Abdelmalek Gacem & Djilani Benattous, 2017. "Hybrid GA–PSO for optimal placement of static VAR compensators in power system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 247-254, January.
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    Cited by:

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    2. Ghareeb Moustafa & Mostafa Elshahed & Ahmed R. Ginidi & Abdullah M. Shaheen & Hany S. E. Mansour, 2023. "A Gradient-Based Optimizer with a Crossover Operator for Distribution Static VAR Compensator (D-SVC) Sizing and Placement in Electrical Systems," Mathematics, MDPI, vol. 11(5), pages 1-30, February.
    3. 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.
    4. 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.

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