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PI-based simulation modeling for performance testing of the power transmission line

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  • Yang, Zong-chang

Abstract

The transmission line is one vital component of electrical power system. It determines some fundamental characteristics such as transmission efficiencies, voltage drops and line losses which are important matters to be considered in system planning, design and maintaining. The so-called PI-based modeling refers to using basic PI (proportional and integral) elements as well as other basic elements to implement one specific simulation. Grounded on the distributed-element model and addressing complex-element modeling, one PI-based simulation method is introduced in this study for teaching purposes and applied to modeling and simulation for performance testing of the power transmission line. The proposed method is demonstrated in the Simulink simulation environment and verified by performance testing of the power transmission line including complex-element-based equivalent distributed-element modeling for (short, medium and long) transmission lines, load flow analysis, short circuit test, open circuit test and the “Ferranti-effect” phenomenon, SIL (surge impedance loading) and series and shunt compensation simulation. Results indicate workability of the proposed method that it provides one convenient and vivid way for complex-element-based simulation modeling and solving numerical solutions as well. The proposed PI-based method for complex-element modeling and its Simulink-based simulation approach may be useful for related electrical engineering simulations and testing.

Suggested Citation

  • Yang, Zong-chang, 2024. "PI-based simulation modeling for performance testing of the power transmission line," Energy, Elsevier, vol. 301(C).
    • Handle: RePEc:eee:energy:v:301:y:2024:i:c:s0360544224015263
    DOI: 10.1016/j.energy.2024.131753
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    References listed on IDEAS

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    1. Zhang, Jun & Xie, Chunlei & Zhang, Ze & Liu, Mengxin & Yang, Linzhen & Long, Haichao, 2023. "Thermal effect of backfill material on the refreezing process of power transmission line cone-cylindrical foundation in permafrost regions," Energy, Elsevier, vol. 271(C).
    2. Kasmuri, N.H. & Kamarudin, S.K. & Abdullah, S.R.S. & Hasan, H.A. & Som, A. Md, 2019. "Integrated advanced nonlinear neural network-simulink control system for production of bio-methanol from sugar cane bagasse via pyrolysis," Energy, Elsevier, vol. 168(C), pages 261-272.
    3. Yu, Shiwei & Zhou, Shuangshuang & Dai, Yao & Zhang, Junjie, 2023. "Impacts of RPS and FIT on inter-regional power transmission line layout in China: Considerations of high renewable energy penetration," Energy Policy, Elsevier, vol. 178(C).
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