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Analysis of Power Network for Line Reactance Variation to Improve Total Transmission Capacity

Author

Listed:
  • Ikram Ullah

    (Energy Department, Complex Energy Systems, Austrian Institute of Technology GmbH, Department Electrical Sustainable Energy, Faculty Electrical Engineering, 1220 Wien, Austria)

  • Wolfgang Gawlik

    (Faculty of Electrical Engineering and IT, Technical University Vienna, 1040 Wien, Austria)

  • Peter Palensky

    (Department Electrical Sustainable Energy Faculty, Electrical Engineering, Mathematics and Computer Science, TU Delft, 2628 CD Delft, The Netherlands)

Abstract

The increasing growth in power demand and the penetration of renewable distributed generations in competitive electricity market demands large and flexible capacity from the transmission grid to reduce transmission bottlenecks. The bottlenecks cause transmission congestion, reliability problems, restrict competition, and limit the maximum dispatch of low cost generations in the network. The electricity system requires efficient utilization of the current transmission capability to improve the Available Transfer Capability (ATC). To improve the ATC, power flow among the lines can be managed by using Flexible AC Transmission System (FACTS) devices as power flow controllers, which alter the parameters of power lines. It is important to place FACTS devices on suitable lines to vary the reactance for improving Total Transmission Capacity (TTC) of the network and provide flexibility in the power flow. In this paper a transmission network is analyzed based on line parameters variation to improve TTC of the interconnected system. Lines are selected for placing FACTS devices based on real power flow Performance Index (PI) sensitivity factors. TTC is computed using the Repeated Power Flow (RPF) method using the constraints of lines thermal limits, bus voltage limits and generator limits. The reactance of suitable lines, selected on the basis of PI sensitivity factors are changed to divert the power flow to other lines with enough transfer capacity available. The improvement of TTC using line reactance variation is demonstrated with three IEEE test systems with multi-area networks. The results show the variation of the selected lines’ reactance in improving TTC for all the test networks with defined contingency cases.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:11:p:936-:d:82621
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    References listed on IDEAS

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    1. Beibei Wang & Xin Fang & Xiayang Zhao & Houhe Chen, 2015. "Bi-Level Optimization for Available Transfer Capability Evaluation in Deregulated Electricity Market," Energies, MDPI, vol. 8(12), pages 1-17, November.
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    Cited by:

    1. Le Van Dai & Doan Duc Tung & Le Cao Quyen, 2017. "A Highly Relevant Method for Incorporation of Shunt Connected FACTS Device into Multi-Machine Power System to Dampen Electromechanical Oscillations," Energies, MDPI, vol. 10(4), pages 1-27, 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. Maria Dicorato & Michele Trovato & Chiara Vergine & Corrado Gadaleta & Benedetto Aluisio & Giuseppe Forte, 2020. "Extended Flow-Based Security Assessment for Real-Sized Transmission Network Planning," Energies, MDPI, vol. 13(13), pages 1-19, July.
    4. Davide Lauria & Fabio Mottola & Stefano Quaia, 2019. "Analytical Description of Overhead Transmission Lines Loadability," Energies, MDPI, vol. 12(16), pages 1-18, August.
    5. Yi Tang & Yuqian Liu & Jia Ning & Jingbo Zhao, 2017. "Multi-Time Scale Coordinated Scheduling Strategy with Distributed Power Flow Controllers for Minimizing Wind Power Spillage," Energies, MDPI, vol. 10(11), pages 1-15, November.
    6. 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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