Measurement-Based Estimation of Inertia in AC Microgrids
| Autor: | Suryanarayana Doolla, C. Phurailatpam, Zakir Hussain Rather, Behrooz Bahrani |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Polynomial regression
Frequency response Inertial frame of reference Wind power Renewable Energy Sustainability and the Environment Computer science business.industry 020209 energy media_common.quotation_subject 020208 electrical & electronic engineering 02 engineering and technology Network topology Inertia Electricity generation Control theory 0202 electrical engineering electronic engineering information engineering Microgrid business media_common |
| Zdroj: | IEEE Transactions on Sustainable Energy. 11:1975-1984 |
| ISSN: | 1949-3037 1949-3029 |
| DOI: | 10.1109/tste.2019.2948224 |
| Popis: | This paper presents an improved method to estimate the available inertia in an islanded AC microgrid. Inertia estimation is carried out based on measured frequency response for any arbitrary disturbance that occurs in the system. Modifications are made to the conventional swing equation-based curve-fitting method to obtain an accurate estimate for a system with high penetration of renewable generations. A polynomial curve fit over the total power generation is introduced to estimate the size of the disturbance accurately. Additionally, a variable order polynomial fit is carried out over the measured frequency, which not only improves the estimate of inertia but also helps to refrain the influence of network topology and size/location of the disturbance. The test microgrid system considered is a modified Standard IEEE distribution network, which consists of radial feeders and distributed generations. Firstly, the proposed method is tested on a system with only synchronous generations to assess the accuracy of the estimate. This is followed by the integration of Type 3 and Type 4 wind turbines, and a PV array within the microgrid system. Virtual inertia control is then implemented in the wind turbines to obtain inertial support. Estimation study of the microgrid system with virtual inertia is then carried out. The developed estimation method can accurately estimate the inertia provided by the synchronous sources within the generation mix. Finally, from all the results and observations, the inertia estimation process in a microgrid system is segregated into synchronous and nonsynchronous inertia estimation. |
| Databáze: | OpenAIRE |
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