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The combined effects of high penetration of wind and PV on power system frequency response

Author

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  • Yan, Ruifeng
  • Saha, Tapan Kumar
  • Modi, Nilesh
  • Masood, Nahid-Al
  • Mosadeghy, Mehdi

Abstract

To achieve clean energy targets, more renewable generators – mainly wind and photovoltaic (PV) – are being integrated into electricity networks. However, wind and PV are non-synchronous generators to the grid and they traditionally have neither enough inertia response nor governor support to control major frequency excursions under most situations. Currently in South Australia, the combined generation of wind and rooftop PV has nearly reached the level of average demand with minor support through interconnection import. In such a situation it is likely that there may be fewer synchronous machines online for frequency regulation. Under such a scenario, a contingency could produce a more severe frequency excursion, violating in place frequency standards. Further, many distributed PV systems in South Australia may have a default under-frequency protection setting, which could be higher than the under-frequency load shedding (UFLS) threshold. Hence, a moderate generation/import trip may cause a massive secondary PV trip, which may result in an unacceptably low frequency, triggering further load shedding. This will certainly have an adverse impact on network security. A similar issue of secondary PV trip is not restricted to South Australia and may occur in other regions and countries as well. In this paper, a network which loosely represents the Australian National Electricity Market (NEM) is selected and modified to investigate and analyze network frequency response under high non-synchronous machine penetration. This network contains all necessary models for a comprehensive frequency response study, such as synchronous machine, governor, stabilizer and wind generator. The relevant functions such as load frequency relief, PV tripping and load shedding which are essential for frequency response evaluation are established in the approved and well-accepted platform – PSS®E. The results show that low inertia and secondary PV tripping can become serious issues for network frequency regulation and in some situations they can even cause system oscillation and stability concerns.

Suggested Citation

  • Yan, Ruifeng & Saha, Tapan Kumar & Modi, Nilesh & Masood, Nahid-Al & Mosadeghy, Mehdi, 2015. "The combined effects of high penetration of wind and PV on power system frequency response," Applied Energy, Elsevier, vol. 145(C), pages 320-330.
    • Handle: RePEc:eee:appene:v:145:y:2015:i:c:p:320-330
    DOI: 10.1016/j.apenergy.2015.02.044
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    References listed on IDEAS

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    1. Fares, Robert L. & Meyers, Jeremy P. & Webber, Michael E., 2014. "A dynamic model-based estimate of the value of a vanadium redox flow battery for frequency regulation in Texas," Applied Energy, Elsevier, vol. 113(C), pages 189-198.
    2. Zhao, Haoran & Wu, Qiuwei & Hu, Shuju & Xu, Honghua & Rasmussen, Claus Nygaard, 2015. "Review of energy storage system for wind power integration support," Applied Energy, Elsevier, vol. 137(C), pages 545-553.
    3. Kalantar, M. & Mousavi G., S.M., 2010. "Dynamic behavior of a stand-alone hybrid power generation system of wind turbine, microturbine, solar array and battery storage," Applied Energy, Elsevier, vol. 87(10), pages 3051-3064, October.
    4. Yingcheng, Xue & Nengling, Tai, 2011. "Review of contribution to frequency control through variable speed wind turbine," Renewable Energy, Elsevier, vol. 36(6), pages 1671-1677.
    5. Kaneko, Toshiaki & Uehara, Akie & Senjyu, Tomonobu & Yona, Atsushi & Urasaki, Naomitsu, 2011. "An integrated control method for a wind farm to reduce frequency deviations in a small power system," Applied Energy, Elsevier, vol. 88(4), pages 1049-1058, April.
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