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Gupta, Santosh Kumar, Mallik, Sanjeev Kumar. (1404). Voltage Stability Assessment of Power System Using Line Indices with Wind System and Solar Photovoltaic Generation Integration. سامانه مدیریت نشریات علمی, 13(4), 303-314. doi: 10.22098/joape.2024.13429.2028
Santosh Kumar Gupta; Sanjeev Kumar Mallik. "Voltage Stability Assessment of Power System Using Line Indices with Wind System and Solar Photovoltaic Generation Integration". سامانه مدیریت نشریات علمی, 13, 4, 1404, 303-314. doi: 10.22098/joape.2024.13429.2028
Gupta, Santosh Kumar, Mallik, Sanjeev Kumar. (1404). 'Voltage Stability Assessment of Power System Using Line Indices with Wind System and Solar Photovoltaic Generation Integration', سامانه مدیریت نشریات علمی, 13(4), pp. 303-314. doi: 10.22098/joape.2024.13429.2028
Gupta, Santosh Kumar, Mallik, Sanjeev Kumar. Voltage Stability Assessment of Power System Using Line Indices with Wind System and Solar Photovoltaic Generation Integration. سامانه مدیریت نشریات علمی, 1404; 13(4): 303-314. doi: 10.22098/joape.2024.13429.2028

Voltage Stability Assessment of Power System Using Line Indices with Wind System and Solar Photovoltaic Generation Integration

Journal of Operation and Automation in Power Engineering
مقاله 6، دوره 13، شماره 4، اسفند 2025، صفحه 303-314    اصل مقاله (1.4 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2024.13429.2028
نویسندگان
Santosh Kumar Gupta* ؛ Sanjeev Kumar Mallik
Department of Electrical Engineering, National Institute of Technology, Patna, Bihar, India.
چکیده
Due to the exponential increase in electricity demand, the power system is being operated at its stability limit. Due to the scarcity of natural resources, the generation can not be increased. Hence, there is always a possibility of voltage collapse in the system. The voltage collapse can be predicted by a number of line stability indices available in the literature. The stress level of the power system can be mitigated by integrating renewable energy resources, such as wind and solar energy. Under heavy loading conditions, the transmission lines get stressful which can be predicted by line voltage stability indices. In this paper, three line stability indices, namely, Lmn, fast voltage stability index (FVSI), and Lqp are used to identify the most stressed lines under four types of system loadings for ensuring the corrective measure to avoid this voltage instability. These indices are being evaluated using continuation power flow. The system loadability and stability are enhanced by deploying the wind energy and solar PV generation at the most appropriate location. The integrated test system includes wind and solar energy systems at one of the most severe bus, and the performance of the system is confirmed by computing the power flow (PF) using the integrated test system's line indices and the power system analysis toolbox (PSAT). The proposed approach has been validated on IEEE 14 and 118-bus test systems in MATLAB/PSAT with the deployment of wind energy and solar energy at a suitable location.
کلیدواژه‌ها
CPF؛ indices؛ solar PV generation؛ voltage collapse؛ wind energy
مراجع
  1. I. Das, K. Bhattacharya, and C. Canizares, “Optimal incentive design for targeted penetration of renewable energy sources,” IEEE Trans. Sustainable Energy, vol. 5, no. 4, pp. 1213–1225, 2014.
  2. I. Stoian, A. Marichescu, M. Gordan, and V. Gavrea, “Computer based modeling and simulation for wind energy systems,” in 2008 IEEE Int. Conf. Autom. Qual. Test. Rob., vol. 3, pp. 337–342, IEEE, 2008.
  3. A. Sharif, S. A. Raza, I. Ozturk, and S. Afshan, “The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: a global study with the application of heterogeneous panel estimations,” Renewable Energy, vol. 133, pp. 685–691, 2019.
  4. A. Ogunjuyigbe, T. Ayodele, and B. Adetokun, “Steady state analysis of wind-driven self-excited reluctance generator for isolated applications,” Renewable Energy, vol. 114, pp. 984–1004, 2017.
  5. T. Ayodele, A. Ogunjuyigbe, and B. Adetokun, “Optimal capacitance selection for a wind-driven self-excited reluctance generator under varying wind speed and load conditions,” Appl. Energy, vol. 190, pp. 339–353, 2017.
  6. K. Ohlenforst, S. Sawyer, A. Dutton, B. Backwel, R. Fiestas, J. Lee, L. Qiao, F. Zhao, and N. Balachandran, “Gwec global wind report 2018,” Global Wind Energy Counc. Rue dArlon, vol. 80, p. 1040, 2019.
  7. A. Eid, M. A. Mehanna, and T. Mahmoud, “Power system stability enhancement by pv distributed generation,” J. AlAzhar Univ. Eng. Sector, vol. 14, no. 51, pp. 543–551, 2019.
  8. V. Khare, S. Nema, and P. Baredar, “Solar–wind hybrid renewable energy system: A review,” Renewable Sustainable Energy Rev., vol. 58, pp. 23–33, 2016.
  9. G. Hocine, L. Fatiha, G. Zohra, and A. Tayeb, “The interest of the wind farm of adrar to the southwest network of algeria,” Iran. J. Energy Environ., vol. 10, no. 3, pp. 165–170, 2019.
  10. X. Liang, H. Chai, and J. Ravishankar, “Analytical methods of voltage stability in renewable dominated power systems: a review,” Electr., vol. 3, no. 1, pp. 75–107, 2022.
  11. M. S. Rawat and S. Vadhera, “A comprehensive review on impact of wind and solar photovoltaic energy sources on voltage stability of power grid,” Int. J. Eng. Res., vol. 7, no. 4, 2019.
  12. C. Reis and F. M. Barbosa, “Line indices for voltage stability assessment,” in 2009 IEEE Bucharest PowerTech, pp. 1–6, IEEE, 2009.
  13. R. Fadaeinedjad, G. Moschopoulos, and M. Moallem, “A new wind power plant simulation method to study power quality,” in 2007 Can. Conf. Electr. Comput. Eng., pp. 1433–1436, IEEE, 2007.
  14. A. A. Tamimi, A. Pahwa, S. Starrett, and N. Williams, “Maximizing wind penetration using voltage stability based methods for sizing and locating new wind farms in power system,” in IEEE PES Gen. Meet., pp. 1–7, IEEE, 2010.
  15. A. Melo, S. Granville, J. Mello, A. Oliveira, C. Domellas, and J. Soto, “Assessment of maximum loadability in a probabilistic framework,” in IEEE Power Eng. Soc. 1999 Winter Meet. (Cat. No. 99CH36233), vol. 1, pp. 263–268, IEEE, 1999.
  16. P. Kundur, “Power system stability,” Power Syst. Stab. Control, vol. 10, pp. 7–1, 2007.
  17. P. Kundur, J. Paserba, V. Ajjarapu, G. Andersson, A. Bose, C. Canizares, N. Hatziargyriou, D. Hill, A. Stankovic, C. Taylor, et al., “Definition and classification of power system stability ieee/cigre joint task force on stability terms and definitions,” IEEE Trans. Power Syst., vol. 19, no. 3, pp. 1387–1401, 2004.
  18. M. S. Rawat and S. Vadhera, “Probabilistic steady state voltage stability assessment method for correlated wind energy and solar photovoltaic integrated power systems,” Energy Technol., vol. 9, no. 2, p. 2000732, 2021.
  19. B. B. Adetokun, C. M. Muriithi, J. O. Ojo, and O. Oghorada, “Impact assessment of increasing renewable energy penetration on voltage instability tendencies of power system buses using a qv-based index,” Sci. Rep., vol. 13, no. 1, p. 9782, 2023.
  20. M. Kazeminejad, M. Banejad, U. Annakkage, and N. Hosseinzadeh, “The effect of high penetration level of distributed generation sources on voltage stability analysis in unbalanced distribution systems considering load model,” J. Oper. Autom. Power Eng., vol. 7, no. 2, pp. 196–205, 2019.
  21. R. Kyomugisha, C. M. Muriithi, and M. Edimu, “Multiobjective optimal power flow for static voltage stability margin improvement,” Heliyon, vol. 7, no. 12, 2021.
  22. S. Gupta, J. Tripathi, A. Ranjan, R. Kesh, A. Kumar, M. Ranjan, and P. Sahu, “Optimal sizing of distributed power flow controller based on jellyfish optimizer,” J. Oper. Autom. Power Eng., vol. 12, no. 1, pp. 69–76, 2024.
  23. W. Tang, W. Li, J. Zheng, C. Wu, L. Wang, Q. Wei, and Q. Wu, “A composite voltage stability index for integrated energy systems based on l-index and the minimum eigenvalue of reduced jacobian matrix,” Int. J. Electr. Power Energy Syst., vol. 141, p. 108136, 2022.
  24. B. Ismail, N. I. A. Wahab, M. L. Othman, M. A. M. Radzi, K. N. Vijayakumar, M. K. Rahmat, and M. N. M. Naain,
    “New line voltage stability index (bvsi) for voltage stability assessment in power system: the comparative studies,” IEEE Access, vol. 10, pp. 103906–103931, 2022.
  25. M. Mohammadniaei, F. Namdari, and M. Shahkarami, “A fast voltage collapse detection and prevention based on wide area monitoring and control,” J. Oper. Autom. Power Eng., vol. 8, no. 3, pp. 209–219, 2020.
  26. Q. Wang, Y. Zhang, P. Tian, B. Ren, Q. Li, P. Luo, and J. Hao, “Research on the influence of load model with distributed pv generation on the voltage stability of receiving-end power grid,” Energy Rep., vol. 9, pp. 880–886, 2023.
  27. M. Glavic and S. Greene, “Voltage stability in future power systems,” 2023.
  28. G. Rui-peng and H. Zhen-xiang, “An improved zero eigen value method for point of collapse,” Proc.-Chin. Soc. Electr. Eng., vol. 20, no. 5, pp. 63–66, 2000.
  29. D. Xianzhong, H. Yangzan, and C. Deshu, “On some practical criteria and security indices for voltage stability in electric power system,” Autom. Electr. Power Syst., vol. 18, no. 9, pp. 36–41, 1994.
  30. M. Moghavvemi and F. Omar, “Technique for contingency monitoring and voltage collapse prediction,” IEE Proc.-Gener. Transm. Distrib., vol. 145, no. 6, pp. 634–640, 1998.
  31. I. Musirin and T. A. Rahman, “On-line voltage stability based contingency ranking using fast voltage stability index (fvsi),” in IEEE/PES Transm. Distrib. Conf. Exhibition, vol. 2, pp. 1118–1123, IEEE, 2002.
  32. S. Ratra, R. Tiwari, and K. R. Niazi, “Voltage stability assessment in power systems using line voltage stability index,” Comput. Electr. Eng., vol. 70, pp. 199–211, 2018.
  33. A. Mohamed, G. Jasmon, and S. Yusoff, “A static voltage collapse indicator using line stability factors,” J. Ind. Technol., vol. 7, no. 1, pp. 73–85, 1989.
  34. A. Chebbo, M. Irving, and M. Sterling, “Voltage collapse proximity indicator: behaviour and implications,” in IEEE Proc. C (Gener. Transm. Distrib.), vol. 139, pp. 241–252, IET, 1992.
  35. T. An, S. Zhou, J. Yu, and Y. Zhang, “Tracking of thevenin equivalent parameters on weak voltage load bus groups,” in 2006 IEEE PES Power Syst. Conf. Exposition, pp. 1570–1576, IEEE, 2006.
  36. R.-A. Moradi and R. Z. Davarani, “Introducing a new index to investigate voltage stability of power systems under actual operating conditions,” Int. J. Electr. Power Energy Syst., vol. 136, p. 107637, 2022.
  37. A. Yazdanpanah-Goharrizi and R. Asghari, “A novel line stability index (nlsi) for voltage stability assessment of power systems,” in Proc. 7th WSEAS Int. Conf. Power Syst., pp. 164–167, Citeseer, 2007.
  38. A. Alshareef, R. Shah, N. Mithulananthan, and S. Alzahrani, “A new global index for short term voltage stability assessment,” IEEE Access, vol. 9, pp. 36114–36124, 2021.
  39. A. Alshareef, R. Shah, N. Mithulananthan, and S. Alzahrani, “A new global index for short term voltage stability assessment,” IEEE Access, vol. 9, pp. 36114–36124, 2021.
  40. R. D. Christie, “Ieee 14-bus and ieee 118-bus systems,” 1999. Accessed on August, 1999.
  41. H.-D. Chiang, A. J. Flueck, K. S. Shah, and N. Balu, “Cpflow: A practical tool for tracing power system steady-state stationary behavior due to load and generation variations,” IEEE Trans. Power Syst., vol. 10, no. 2, pp. 623–634, 1995.
  42. M. Karimi, A. Shahriari, M. Aghamohammadi, H. Marzooghi, and V. Terzija, “Application of newton-based load flow methods for determining steady-state condition of well and ill-conditioned power systems: A review,” Int. J. Electr. Power Energy Syst., vol. 113, pp. 298–309, 2019.
  43. B. B. Adetokun, C. M. Muriithi, and J. O. Ojo, “Voltage stability assessment and enhancement of power grid with increasing wind energy penetration,” Int. J. Electr. Power Energy Syst., vol. 120, p. 105988, 2020.
  44. B. Spichartz, K. Günther, and C. Sourkounis, “New stability concept for primary controlled variable speed wind turbines considering wind fluctuations and power smoothing,” IEEE Trans. Ind. Appl., vol. 58, no. 2, pp. 2378–2388, 2022.
  45. B. B. Adetokun, A. Adekitan, T. Somefun, A. Aligbe, and A. Ogunjuyigbe, “Artificial neural network-based capacitance prediction model for optimal voltage control of stand-alone wind-driven self-excited reluctance generator,” in 2018 IEEE PES/IAS PowerAfr., pp. 485–490, IEEE, 2018.
  46. M. Mohammadniaei, F. Namdari, and M. Shahkarami, “A fast voltage collapse detection and prevention based on wide area monitoring and control,” J. Oper. Autom. Power Eng., vol. 8, no. 3, pp. 209–219, 2020.
  47. P. Akbarzadeh Aghdam and H. Khoshkhoo, “Voltage stability assessment algorithm to predict power system loadability margin,” IET Gener. Trans. Distrib., vol. 14, no. 10, pp. 1816–1828, 2020.
  48. P. Kumar, N. Pal, and H. Sharma, “Optimization and techno-economic analysis of a solar photovoltaic/biomass/diesel/battery hybrid off-grid power generation system for rural remote electrification in eastern india,” Energy, vol. 247, p. 123560, 2022.
  49. U. E. Uzun, N. Pamuk, and S. Taskin, “Effect of solar photovoltaic generation systems on voltage stability,” in 2022 Global Energy Conf. (GEC), pp. 38–41, IEEE, 2022.
  50. S. Rahman, S. Saha, S. N. Islam, M. T. Arif, M. Mosadeghy, M. Haque, and A. M. Oo, “Analysis of power grid voltage stability with high penetration of solar pv systems,” IEEE Trans. Ind. Appl., vol. 57, no. 3, pp. 2245–2257, 2021.
  51. S. Kumar, A. Kumar, and N. Sharma, “A novel method to investigate voltage stability of ieee-14 bus wind integrated system using psat,” Front. Energy, vol. 14, pp. 410–418, 2020.
  52. B. B. Adetokun, C. M. Muriithi, and J. O. Ojo, “Voltage stability assessment and enhancement of power grid with increasing wind energy penetration,” Int. J. Electr. Power Energy Syst., vol. 120, p. 105988, 2020.
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