آمار

تعداد نشریات24
تعداد شماره‌ها226
تعداد مقالات1,918
تعداد مشاهده مقاله2,879,878
تعداد دریافت فایل اصل مقاله2,122,799
Nerkar, H., Kundu, P., Chowdhury, A.. (1402). An Analysis of the Impact on Frequency Response with Penetration of ‎RES in Power System and Modified Virtual Inertia Controller. سامانه مدیریت نشریات علمی, 11(1), 39-49. doi: 10.22098/joape.2023.9494.1661
H. Nerkar; P. Kundu; A. Chowdhury. "An Analysis of the Impact on Frequency Response with Penetration of ‎RES in Power System and Modified Virtual Inertia Controller". سامانه مدیریت نشریات علمی, 11, 1, 1402, 39-49. doi: 10.22098/joape.2023.9494.1661
Nerkar, H., Kundu, P., Chowdhury, A.. (1402). 'An Analysis of the Impact on Frequency Response with Penetration of ‎RES in Power System and Modified Virtual Inertia Controller', سامانه مدیریت نشریات علمی, 11(1), pp. 39-49. doi: 10.22098/joape.2023.9494.1661
Nerkar, H., Kundu, P., Chowdhury, A.. An Analysis of the Impact on Frequency Response with Penetration of ‎RES in Power System and Modified Virtual Inertia Controller. سامانه مدیریت نشریات علمی, 1402; 11(1): 39-49. doi: 10.22098/joape.2023.9494.1661

An Analysis of the Impact on Frequency Response with Penetration of ‎RES in Power System and Modified Virtual Inertia Controller

Journal of Operation and Automation in Power Engineering
دوره 11، شماره 1، تیر 2023، صفحه 39-49  XML اصل مقاله (1005.52 K)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.9494.1661
نویسندگان
H. Nerkar email ؛ P. Kundu؛ A. Chowdhury
Electrical Engineering Department, Sardar Vallabhbhai National Institute of Technology Surat, Gujarat, India.‎
چکیده
The power system in upcoming years will face issues of power frequency instability due to an increase in the share of Renewable Energy Sources (RES). The RESs are integrated into the power system through the power electronic converters. The operation and control of RES are drastically different than the conventional energy sources. This paper is focused on the effect of a rise in the share of RES on power system frequency stability and its possible solutions. The RESs are not taking part in the frequency regulation process in case of disturbance. Despite this, they generate disturbances in the power system caused by the intermittent nature of input energy. The RES doesn’t have extra active power for the frequency regulation as they already operate at their maximum power point. These power electronic-based generators don’t contain inertia like conventional generators. The inertia-less systems adversely affect the Rate of Change of Frequency (RoCoF) and frequency nadir. This is demonstrated on IEEE 9-bus system with different scenarios. According to that analysis, the RES should provide an inertial response during disturbances. In this paper, the proposed Modified Virtual Inertia Control (M-VIC) technique emulates inertia like conventional generators by using external Energy Storage Systems (ESS). In M-VIC the inertial response is replicated by controlling the rate and duration of power provided by ESS. The proposed technique is more effective to reduce the frequency nadir and RoCoF with better utilization of ESS. To demonstrate this, the PV integrated single-area power system model is simulated in MATLAB R2019a.
کلیدواژه‌ها
Virtual inertia control (VIC)؛ Energy storage system (ESS)؛ Renewable Energy Sources؛ frequency stability؛ Rate of Change of Frequency (RoCoF)
مراجع
  1. Allahnoori et al., “Reliability assessment of distribution systems in presence of microgrids considering uncertainty in generation and load demand”, J. Oper. Autom. Power Eng., vol. 2, pp. 113-120, 2014.
  2. Kerdphol, F. Rahman, and Y. Mitani, “Virtual inertia control application to enhance frequency stability of interconnected power systems with high renewable energy penetration”, Energies, vol. 11, pp. 981, 2018.
  3. Ulbig, T. Borsche, and G. Andersson, “Impact of low rotational inertia on power system stability and operation”, IFAC Proc. Vol., vol.47, pp.7290-7,2014.
  4. Task force members from REE, T., TransnetBW, 50Hertz and R. Transmission, Swissgrid and Energinet.dk., Frequency Stability Evaluation Criteria for the Synchronous Zone of Continental Europe, Report of European network of Transmission system operators for electricity, pp. 1-25, 2016.
  5. Commission, C.E.R., Grid Security Need for Tightening of Frequency Band & Other Measures.
  6. AISBL, E.-E.E.-E., ENTSO-E draft network code for requirements for grid connection applicable to all generators. Brussels, Belgium, 2012.
  7. Nerkar, P. Kundu and A. Choudhury, “Frequency control ancillary services in power system with integration of PV generation”, Int. Conf. Intell. Tech., pp. 1-6, 2021.
  8. Tielens, and D. Van Hertem, “Grid inertia and frequency control in power systems with high penetration of renewables”, Young Res. Symp. Electr. Power Eng., 2012.
  9. Mohammadi-Ivatloo et al., “An improved under-frequency load shedding scheme in distribution networks with distributed generation”, J. Oper. Autom. Power Eng., vol.2, pp. 22-31, 2014.
  10. Kerdphol et al., “Demonstration of virtual inertia emulation using energy storage systems to support community-based high renewable energy penetration”, IEEE Global Humanitarian Tech. Conf., 2018.
  11. Saxena, N. Singh, and A. Pandey, “Enhancing the dynamic performance of microgrid using derivative controlled solar and energy storage based virtual inertia system”, J. Energy Storage, vol.31, pp. 101613. 2020.
  12. Babu, B. Maddila, G. Panda, “Frequency stability enhancement of thermal power plant-integrated microgrid with virtual inertia emulation”, 3rd Int. Conf. Energy Power Environ. Towards Clean Energy Tech., 2021.
  13. Kerdphol et al., “Robust virtual inertia control of an islanded microgrid considering high penetration of renewable energy”, IEEE Access, vol. 6, pp. 625-36, 2017.
  14. Mentesidi et al., “Implementation of a fuzzy logic controller for virtual inertia emulation”, Int. Symp. Smart Electr. Distrib. Syst. Tech., 2015.
  15. Kerdphol et al., “Virtual inertia control-based model predictive control for microgrid frequency stabilization considering high renewable energy integration”, Sustain., vol.9, pp.773, 2017.
  16. Rakhshani et al, “Frequency control of HVDC interconnected system considering derivative based inertia emulation”, IEEE Power Energy Soc. Gen. Meet., 2016.
  17. Rakhshani et al., “Analysis of derivative control based virtual inertia in multi-area high-voltage direct current interconnected power systems”, IET Gener. Transm. Distrib., vol. 10, pp.1458-69, 2016.
  18. Hassas, K. Pourhossein, “Control and management of hybrid renewable energy systems: review and comparison of methods”, J. Oper. Autom. Power Eng., vol. 5, pp.131-138, 2017.
  19. Toma et al, “On the virtual inertia provision by BESS in low inertia power systems”, IEEE Int. Energy Conf., 2018.
  20. Zhang, J. Fang, and Y. Tang, “Inertia emulation through supercapacitor energy storage systems”, 10th Int. Conf. Power Electron. ECCE Asia, 2019.
  21. Yu, J. Fang, and Y. Tang, “Inertia emulation by flywheel energy storage system for improved frequency regulation”, IEEE 4th South. Power Electron. Conf., 2018.
  22. Kerdphol et al., “Applying virtual inertia control topology to SMES system for frequency stability improvement of low-inertia microgrids driven by high renewables”, Energies, vol. 12, pp.3902, 2019.
  23. Delille, B. Francois, and G. Malarange, “Dynamic frequency control support by energy storage to reduce the impact of wind and solar generation on isolated power system's inertia”, IEEE Trans. Sustain. Energy, vol. 3, pp.931-9, 2012.
  24. Konstantin et al., “Innovation in the Power Systems industry”, Cigre Science Eng., vol.11, pp.3-126, 2018.
  25. Radmanesh, M. Saeidi, “Stabilizing microgrid frequency by linear controller design to increase dynamic response of diesel generator frequency control loop”, J. Oper. Autom. Power Eng., vol. 7, pp. 216-226, 2019.
  26. Matsuda et al., “Stabilization of power system by virtual inertia control of adjustable speed synchronous condenser”, 2nd Int. Conf. Rob. Electr. Signal Proc. Tech., 2021.
  27. Fast frequency response concepts and bulk power system reliability needs, NERC Report, 1-23, 2020.
  28. Rietveld et al., “Evaluation report on the problem of rocof measurement in the context of actual use cases and the “wish list” of accuracy and latency from an end-user point of view”, EURAMET, 2019.
  29. Eriksson, N. Modig, and K. Elkington, “Synthetic inertia versus fast frequency response: a definition”, IET Renew. Power Gener., vol. 12, pp. 507-514, 2017.
  30. Phurailatpam et al., “Measurement based estimation of inertia in AC microgrids”, IEEE Trans. Sustain. Energy, 2019.
  31. Zhang et al., “Synchrophasor measurement-based wind plant inertia estimation”, IEEE Green Tech. Conf., 2013.
  32. Beltran et al., “Inertia estimation of wind power plants based on the swing equation and phasor measurement units”, Appl. Sci., vol. 8, pp. 2413, 2018.
  33. Rampokanyo, and P. Ijumba-Kamera, “Power system inertia in an inverter-dominated network”, J. Energy South. Africa, vol. 30, pp. 80-86, 2019.
  34. Bian et al., “Demand side contributions for system inertia in the GB power system”, IEEE Trans. Power Syst., vol. 33, pp. 3521-30, 2017.
  35. Thiesen, and C. Jauch, “Determining the load inertia contribution from different power consumer groups”, Energies, vol.13, pp.1588, 2020.
  36. Tamrakar et al., “Virtual inertia: current trends and future directions”, Appl. Sci., vol. 7, pp. 654, 2017.
  37. Lee, and L. Wang, “Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: Time-domain simulations”, IEEE Trans. Energy Conv., vol. 23, pp. 311-20, 2008.
  38. Rajendran, and H. Smith, “Modelling of solar irradiance and daylight duration for solar powered UAV sizing”, Energy Explor. Exploit., vol. 34, pp.235-43, 2016.
آمار
تعداد مشاهده مقاله: 512
تعداد دریافت فایل اصل مقاله: 460


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب