Online Model-Free Estimation of the Dynamic System Model for a Power System With Renewables in Ambient Conditions
| Autor: | Boon-Teck Ooi, Jinpeng Guo, Xiaozhe Wang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Online model
Mathematical optimization General Computer Science Computer science 020209 energy ComputerApplications_COMPUTERSINOTHERSYSTEMS Topology (electrical circuits) 02 engineering and technology network topology change Network topology 7. Clean energy online estimation Electric power system dynamic system model estimation 0202 electrical engineering electronic engineering information engineering General Materials Science Estimation Distributed RES Dynamic system model missing measurements business.industry General Engineering Renewable energy lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 96878-96887 (2020) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2020.2997291 |
| Popis: | In this paper, an online model-free method is proposed to estimate the dynamic model of a power system with distributed renewable energy sources (RES). The proposed method, requiring no knowledge of network topology and model parameters, is computationally efficient and can be implemented online. The impact of missing PMUs is evaluated in detail, which shows that most entries of the dynamic model can still be well estimated in the case of missing PMUs. Simulation studies in the modified IEEE 68-bus system demonstrate that the proposed method can provide accurate estimation of the dynamic model in different operating conditions. The method can help detect topology change even when some PMUs are lost. |
| Databáze: | OpenAIRE |
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