Synthesis of Dynamic Virtual-Inertia for Microgrid System Applications
During the last two decades, interest in grid integrated renewable energy sources (RERs) into the electrical power grids has significantly grown. The motive being a promising strategy to reduce greenhouse gas emissions generated by conventional power plants (CPPs) and hence environmental consequences, decrease losses in distribution lines to improve power system supply efficiency and reliability to consumers. As a result, several CPPs are being replaced by RERs such as solar PV system, wind energy, micro hydro-turbine, fuel cell, and small gas power plants. These are installed close to customers on low-voltage and medium-voltage sites to reduce losses in the network and improve power quality, overall efficiency and reliability. However, grid-connected RERs via inverter decreases system inertia due to decrease in CPPs with rotating mass serving as an immediate natural response to frequency deviations following network disturbances. Therefore, this paper presents the design of dynamic virtual-inertia control (DVIC) scheme. The developed DVIC incorporates the mechanism to adjust active and reactive demand in response to any frequency and voltage variations to ensure system stability. To validate the suitability of the presented technique, MATLAB/Simulink model is developed and simulated under various operating scenarios. Using the results obtained simulation study, it is evidently the proposed DVIC shows improved performance is achieved than when no inertia control system applied.
Authors
- Jackson J. Justo (ORCID: https://orcid.org/0000-0003-0638-0713)
- Dmitry V. Lukichev (ORCID: https://orcid.org/0000-0003-2168-3755)
- Galina Demidova (ORCID: https://orcid.org/0000-0003-2786-715X)
- Ramesh C. Bansal (ORCID: https://orcid.org/0000-0002-1725-2648)
- Peter Makolo (ORCID: https://orcid.org/0000-0002-3595-8468)
- Nikolai Poliakov (ORCID: https://orcid.org/0000-0002-0263-4811)
Institutions
- ITMO University (RU)
- University of Dar es Salaam (TZ)
- University of Sharjah (AE)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10957416
- Primary Topic
- Real-time simulation and control systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00