Abstract
The integration of distributed generations in a smart microgrid distribution system as focused in recent times and considered as a solution towards the exponential rise of energy demands. However, the inverter-based energy sources lead to a weak power system in the sense of having low inertia. This, in turn, make the overall system more prone to instability. The related issues and challenges along with its remedial misuse in terms of control prospective need to be discussed thoroughly. On the above-related problems, this paper presents all possible virtual inertia topologies in the implementation stage. Apart from that, this paper explores potential research directions, major challenges, and technical analysis on the state-of-the-art of virtual inertia. Comparative analysis also discussed mentioning the merits and limitations of the topologies. To understand the concept, the related mathematical expressions and schematic diagrams of different topologies and control strategies are illustrated.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ratnam, K.S., Palanisamy, K., Yang, G.: Future low-inertia power systems: requirements, issues, and solutions: a review. Renew. Sustain. Energy Rev. 124, 109773 (2020)
Tamrakar, U., et al.: Virtual inertia: current trends and future directions. Appl. Sci. 7(7), 654 (2017)
Yap, K.Y., Sarimuthu, C.R., Lim, J.M.Y.: Virtual inertia-based inverters for mitigating frequency instability in grid-connected renewable energy system: a review. Appl. Sci. 9(24), 5300 (2019)
Zhong, Q.C., Weiss, G.: Synchronverters: inverters that mimic synchronous generators. IEEE Trans. Ind. Electron. 58(4), 1259–1267 (2010)
Singh, D., Seethalekshmi, K.: A review on various virtual inertia techniques for distributed generation. In: 2020 International Conference on Electrical and Electronics Engineering (ICE3). IEEE (2020)
Meng, J., et al.: Adaptive virtual inertia control of distributed generator for dynamic frequency support in microgrid. In: 2016 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE (2016)
Bhowmik, P., Rout, P.: Emulation of virtual inertia with the dynamic virtual damping in microgrids. In: 2019 International Conference on Applied Machine Learning (ICAML). IEEE (2019)
Samanta, S., Mishra, J.P., Roy, B.K.: Implementation of a virtual inertia control for inertia enhancement of a dc microgrid under both grid connected and isolated operation. Comput. Electr. Eng. 76, 283–298 (2019)
Bhowmik, P., Rout, P.K.: Establishment of an auxiliary virtual damping loop for the superior inertial response in the microgrid. IET Smart Grid 3(1), 42–50 (2020)
Shintai, T., Miura, Y., Ise, T.: Oscillation damping of a distributed generator using a virtual synchronous generator. IEEE Trans. Power Delivery 29(2), 668–676 (2014)
Han, J., et al.: An autonomous power-frequency control strategy based on load virtual synchronous generator. Processes 8(4), 433 (2020)
Ren, H.P., et al.: Inertia and feedback parameters adaptive control of virtual synchronous generator. arXiv preprint: arXiv:2009.05916 (2020)
Cheema, K.M.: A comprehensive review of virtual synchronous generator. Int. J. Electr. Power Energy Syst. 120, 106006 (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Routray, D., Dunna, V.K., Rout, P.K., Sahu, B.K. (2021). Virtual Inertia Control Strategy in Microgrid Stability Control: A Conceptual Synthesis and Discussion. In: Das, S., Mohanty, M.N. (eds) Advances in Intelligent Computing and Communication. Lecture Notes in Networks and Systems, vol 202. Springer, Singapore. https://doi.org/10.1007/978-981-16-0695-3_11
Download citation
DOI: https://doi.org/10.1007/978-981-16-0695-3_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-0694-6
Online ISBN: 978-981-16-0695-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)