The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Virtual Inertia: Current Trends and Future Directions
Open accessAbstract
The modern power system is progressing from a synchronous machine-based system towards an inverter-dominated system, with large-scale penetration of renewable energy sources (RESs) like wind and photovoltaics. RES units today represent a major share of the generation, and the traditional approach of integrating them as grid following units can lead to frequency instability. Many researchers have pointed towards using inverters with virtual inertia control algorithms so that they appear as synchronous generators to the grid, maintaining and enhancing system stability. This paper presents a literature review of the current state-of-the-art of virtual inertia implementation techniques, and explores potential research directions and challenges. The major virtual inertia topologies are compared and classified. Through literature review and simulations of some selected topologies it has been shown that similar inertial response can be achieved by relating the parameters of these topologies through time constants and inertia constants, although the exact frequency dynamics may vary slightly. The suitability of a topology depends on system control architecture and desired level of detail in replication of the dynamics of synchronous generators. A discussion on the challenges and research directions points out several research needs, especially for systems level integration of virtual inertia systems.
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Cites
Overview of Control and Grid Synchronization for Distributed Power Generation Systems
Blaabjerg, F., Teodorescu, R., Liserre, M., & Timbus, A. V. (2006) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2006.881997 · Cited by 5,220
Synchronverters: Inverters That Mimic Synchronous Generators
Zhong, Q.-C., & Weiss, G. (2011) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2010.2048839 · Cited by 3,107
Modeling, Analysis and Testing of Autonomous Operation of an Inverter-Based Microgrid
Pogaku, N., Prodanovic, M., & Green, T. C. (2007) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2006.890003 · Cited by 3,018
Hatziargyriou, N., Asano, H., Iravani, R., & Marnay, C. (2007) · IEEE Power and Energy Magazine · doi:10.1109/mpae.2007.376583 · Cited by 2,519
Vehicle-to-grid power fundamentals: Calculating capacity and net revenue
Kempton, W., & Tomić, J. (2005) · Journal of Power Sources · doi:10.1016/j.jpowsour.2004.12.025 · Cited by 2,323
Power Management Strategies for a Microgrid With Multiple Distributed Generation Units
Katiraei, F., & Iravani, M. R. (2006) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2006.879260 · Cited by 1,578
Kroposki, B., Johnson, B., Zhang, Y., Gevorgian, V., Denholm, P., Hodge, B.-M., & Hannegan, B. (2017) · IEEE Power and Energy Magazine · doi:10.1109/mpe.2016.2637122 · Cited by 1,367
Power-Synchronization Control of Grid-Connected Voltage-Source Converters
Zhang, L., Harnefors, L., & Nee, H.-P. (2010) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2009.2032231 · Cited by 1,317
Beck, H.-P., & Hesse, R. (2007) · 2007 9th International Conference on Electrical Power Quality and Utilisation · doi:10.1109/epqu.2007.4424220 · Cited by 1,097
Guerrero, J. M., GarciadeVicuna, L., Matas, J., Castilla, M., & Miret, J. (2004) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2004.833451 · Cited by 1,039
Cited by
Grid Forming Inverter Modeling, Control, and Applications
Rathnayake, D. B., Akrami, M., Phurailatpam, C., Me, S. P., Hadavi, S., Jayasinghe, G., Zabihi, S., & Bahrani, B. (2021) · IEEE Access · doi:10.1109/access.2021.3104617 · Cited by 630
Future low-inertia power systems: Requirements, issues, and solutions - A review
Ratnam, K. S., Palanisamy, K., & Yang, G. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109773 · Cited by 474
Metadata
- Authors
- Tamrakar, U., Shrestha, D., Maharjan, M., Bhattarai, B., Hansen, T., & Tonkoski, R.
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2017-06-26
- Volume
- 7
- Issue
- 7
- Pages
- 654
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W2639428679
- Cited by
- 640
- References
- 52
- FWCI
- 29.62
- Type
- journal article
- Language
- en
- Open access
- gold
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