Grid Frequency Estimation Using Multiple Model with Harmonic Regressor: Robustness Enhancement with Stepwise Splitting Method
Paper in proceeding, 2017

Reduction of inertia in electricity networks due to high penetration level of renewable energy sources will require wind turbines to participate in frequency regulation via Active Power Control. The performance of frequency regulation and protection system depends strongly on the performance of network frequency estimation. Fast frequency variations and uncertainties associated with unknown harmonics and measurement noise in the network signals are the main obstacles to performance improvement of frequency estimation with classical zero crossing method, which is widely used in industry. The same uncertainties introduce challenges in model based frequency estimation. These challenges are addressed in this paper within the framework of multiple model with harmonic regressor. Additional challenges associated with computational complexity of matrix inversion algorithms and accuracy of inversion of ill-conditioned matrices in the multiple model are also discussed in the paper. New high order algorithms with reduced computational complexity are presented. Instability mechanism is discovered in Newton-Schulz and Neumann matrix inversion techniques in finite precision implementation environment. A new stepwise splitting method is proposed for elimination of instability and for performance improvement of matrix inversion algorithms in the multiple model. All the results are confirmed by simulations.

High Order Algorithms

Step-wise Splitting

Newton-Schulz Algorithm

Accurate Frequency Tracking in Electricity Networks

Harmonic Regressor

Neumann Series

Numerical Instability

Multiple Model

Round-off Errors

Author

Alexander Stotsky

Chalmers, Energy and Environment, Electric Power Engineering

IFAC-PapersOnLine

24058963 (eISSN)

Vol. 50 1 12817-12822

20th IFAC World Congress
Toulouse, France,

Areas of Advance

Energy

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering

Control Engineering

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1016/j.ifacol.2017.08.1930

More information

Latest update

7/13/2023