4.7 Article

An Analytical Method for Disturbance Propagation Investigation Based on the Electromechanical Wave Approach

Journal

IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 36, Issue 2, Pages 991-1001

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2020.3023855

Keywords

Mathematical model; Propagation; Generators; Analytical models; Power system dynamics; Electromechanical wave; disturbance energy; frame structure model; wave function; power system dynamics

Funding

  1. National Key RD program [2017YFB0902901]
  2. National Natural Science Foundation of China [51627811, 51725702, 51707064]
  3. US National Science Foundation [ECCS-1917308]

Ask authors/readers for more resources

Accurate estimation of electromechanical disturbance propagation in a power system is crucial for taking preventive, corrective, and in-extremis control actions. This paper proposes an analytical method based on electromechanical wave theory, which investigates disturbance propagation and studies disturbance attenuation and propagation degree. Numerical results on multi-machine chain network and IEEE 118-bus test system validate the effectiveness of the proposed method.
Accurate estimates of the electromechanical disturbance propagation in a power system play an important role in taking preventive, corrective, and in-extremis control actions. This paper proposes an analytical method for disturbance propagation investigation based on the electromechanical wave theory. A frame structure model is developed that allows us to derive an analytical relationship between the disturbance propagation and the turbine-generator inertia, the line reactance, bus voltage, and disturbance source frequency. In addition, the disturbance attenuation and the degree of disturbance propagation are studied. Numerical results performed on a multi-machine chain network and the IEEE 118-bus test system demonstrate the effectiveness of the developed method.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available