Online Identification of Inertia Distribution in Normal Operating Power System
- 13 April 2020
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Systems
- Vol. 35 (4) , 3301-3304
Abstract
In this letter, a new model to represent power system inertia distribution is derived first. Then, a specific online identification method is proposed to identify parameters of the model under normal operating conditions so that the system inertia distribution can be tracked in real-time. The effectiveness of the proposed model and identification method is validated in the IEEE 39-bus system.Keywords
Funding Information
- National Natural Science Foundation of China (51761145106)
- Natural Science Foundation of Guangdong Province (2018B030306041)
This publication has 8 references indexed in Scilit:
- Estimation of Power System Inertia From Ambient Wide Area MeasurementsIEEE Transactions on Power Systems, 2018
- Non-Invasive Identification of Inertia Distribution Change in High Renewable Systems Using Distribution Level PMUIEEE Transactions on Power Systems, 2017
- Impact of reduced system inertia on stable power system operation and an overview of possible solutions2016
- Frequency DividerIEEE Transactions on Power Systems, 2016
- Benchmark Models for the Analysis and Control of Small-Signal Oscillatory Dynamics in Power SystemsIEEE Transactions on Power Systems, 2016
- Inertia Estimation of the GB Power System Using Synchrophasor MeasurementsIEEE Transactions on Power Systems, 2014
- Estimation of generator inertia available during a disturbance2012
- Initial Results in Power System Identification From Injected Probing Signals Using a Subspace MethodIEEE Transactions on Power Systems, 2006