A Comparative Assessment of Ferranti Effect in Power Transmission Systems with PI Model and Distributed Line models

Authors

  • Venu Yarlagadda, Chava Sunil Kumar, Srinivasa Rao Jalluri, B. Devulal, Giriprasad Ambati

Keywords:

Ferranti Effect, Thyristor Switched Reactor, Power Transmission, Transmission Lines, PI model line, Distributed Line.

Abstract

The Cenozoic era of power system is with electrical energy network comprising of a huge transmission network equipped with EHV and UHV long transmission lines. These lines are subjected to continuous variations of the distributed loads all over the network. The subjective loads are varying with zero load to very heavy loads lead to insecurity of the power system with large variations in both voltage and frequency of the power system. When transmission lines subjected to no load or lightly loaded operations then the Ferranti effect will arise in the power network leading to very high over voltages. This article presents the simulation results of Ferranti effect and its illustration in transmission lines in four stages. The first stage the long transmission line is considered with a operating voltage of 360KV line-to-line voltage in KV and standard Indian frequency of 50Hz is considered for case study for all four stages of the case study. The stage one presents the case study results of Ferranti Effect Phenomenon with the use of MATLAB programming method. The Ferranti Effect of the said line is analysed with the line length variation from zero to 800KM line length, the MATLAB programme used the long line equations to obtain the receiving end voltage plot by keeping the sending end voltage at constant value of 208 KV per phase voltage. In the second stage the system with same parameters has been used to carry out by using a PI line model of Simulink blocks. The stage three with the distributed line model of Simulink blocks with same line and length variation. Finally in stage four presents the comparison results of both pi line model and distributed line models with the variation of line length up to 800KM and illustrated the severity of Ferranti effect.

Downloads

Download data is not yet available.

References

Venu Yarlagadda, G. Lakshminarayana, G. Ambati, T. Nireekshana and G. A. Karthika, "Mitigation of Ferranti Effect and Voltage Control in Transmission Systems Using Fuzzy Logic Controlled SVC," 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), 2022, pp. 1-6, doi: 10.1109/ICSTSN53084.2022.

Venu Yarlagadda, Giri Prasad Ambati, E.Shiva prasad, KuntlaVeeresham, G.Radhika, “Synchronous and Voltage Stability Improvement using SVC and TCSC and its Coordination Control” Design Engineering, ISSN: 0011-9342, vol-2021, issue No: 6, pp: 3624-3635.

G. Chavan, S. Acharya, S. Bhattacharya, D. Das and H. Inam, "Application of static synchronous series compensators in mitigating Ferranti effect," 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016, pp. 1-5, doi: 10.1109/PESGM.

7741380.

Venu Yarlagadda, D.Ravi Kumar, E.Shiva prasad , Giri Prasad Ambati , Lakshminarayana Gadupudi , “Prototype models of FACTS Controllers and its Optimal Sizing and Placements in Large Scale Power Systems using Voltage Stability Indices” Design Engineering , ISSN: 0011-9342, vol-2021,issue No:6,pp: 3636-3659.

Y. Venu, Nireekshana, T., Phanisaikrishna, B. (2021). Mitigation of Ferranti Effect Using Thyristor Controlled Reactor. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_236

Venu Yarlagadda, NireekshanaTuraka, Giri Prasad Ambati, S Poornima “Optimization of Voltage Stability based Shunt and Series Compensation using PSO” Design Engineering Vol2021, Issues 7, Pages 8679–8694.

Tingyi He, Shengnan Li, Shuijun Wu, Ke Li, "Small-Signal Stability Analysis for Power System Frequency Regulation with Renewable Energy Participation", Mathematical Problems in Engineering, vol. 2021, Article ID 5556062, 13 pages, 2021. https://doi.org/10.1155/2021/5556062

J. Liu, W. Yao, J. Wen et al., “Impact of power grid strength and PLL parameters on stability of grid-connected DFIG wind farm,” IEEE Transactions on Sustainable Energy, vol. 11, no. 1, pp. 545–557, 2020.

X. Yan, “A review of cyber security risks of power systems: from static to dynamic false data attacks,” Protection and Control of Modern Power Systems, vol. 5, no. 3, pp. 8–19, 2020.

G. Tu, Y. Li and J. Xiang, "Analysis and Control of Energy Storage Systems for Power System Stability Enhancement," 2019 Chinese Control Conference (CCC), 2019, pp. 560-565, doi: 10.23919/ChiCC.2019.8865814.

S. R. Paital, P. K. Ray and A. Mohanty, "A review on stability enhancement in SMIB system using artificial intelligence based techniques," 2018 IEEMA Engineer Infinite Conference (eTechNxT), 2018, pp. 1-6, doi: 10.1109/ETECHNXT.2018.838

B. Baadji, H. Bentarzi and A. Bouaoud, "SMIB power system model with PSS for transient stability studies," 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), 2017, pp. 1-5, doi: 10.1109/ICEE-B.2017.8191996.

S.Kalyani, M.Prakash and g. A.Ezhilarasi, "Transient stability studies in SMIB system with detailed machine models," 2011 international conference on recent advancements in electrical, electronics and control engineering, 2011, pp. 459-464, doi:10.1109/iconraeece.2011.6129781.

Yarlagadda V., Giri Prasad A., Rami Reddy Ch., Nireekshana T., Seshu Kumari B.V., Satyanarayana P.V.V. " Suppression of Ferranti Effect of Transmission System Using Closed Loop Control of FACTS Devices," Journal of Electrical Systems (JES) ISSN: 1112-5209, 18-4 (2022): 474-486.

Venu Yarlagadda, Srinivasa Rao Jalluri, Giriprasad Ambati, Chava Sunil Kumar, B. Devulal " Power Quality Improvement of Thyristor Controlled Reactor using Harmonic Filters," Journal of Electrical Systems (JES) ISSN: 1112-5209, Electrical Systems 20-10s(2024):1542-1552

Downloads

Published

09.07.2024

How to Cite

Venu Yarlagadda. (2024). A Comparative Assessment of Ferranti Effect in Power Transmission Systems with PI Model and Distributed Line models. International Journal of Intelligent Systems and Applications in Engineering, 12(22s), 1517 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6694

Issue

Section

Research Article

Most read articles by the same author(s)

Similar Articles

You may also start an advanced similarity search for this article.