Gaoshang ZHAO, Daowei LIU, Shuyong CHEN, et al. Power System Transient Stability Boundary Analysis From the Perspective of Data[J]. Power Generation Technology, 2020, 41(2): 167-174.
DOI:
Gaoshang ZHAO, Daowei LIU, Shuyong CHEN, et al. Power System Transient Stability Boundary Analysis From the Perspective of Data[J]. Power Generation Technology, 2020, 41(2): 167-174. DOI: 10.12096/j.2096-4528.pgt.19065.
Power System Transient Stability Boundary Analysis From the Perspective of Data
With the introduction of the ubiquitous power Internet of Things
power system analysis based on data mining will play an increasingly important role in the construction of the energy internet. The boundary problem of critical transient stability is one of the core issues in evaluating the transient stability of power systems. At present
in the transient stability assessment
it is often impossible to give an accurate judgment on the critical state of the grid
so that there is a fuzzy area in the safety assessment. From the perspective of data analysis
the related research on the feature extraction of critical transient stability boundary of power system was carried out. Based on the transient stability single machine model and energy function
the boundary phenomenon of critical transient stability of power system was characterized. Then
based on the BPA automatic simulation program
the transient stable data sample generation problem was solved. Finally
the selection of the input characteristics of the "source-network" and the correlation analysis of the input features were completed
and the verification was completed by the IEEE-39 node system.
Lotufo A D, Lopes M L, Minussi C R. Sensitivityanalysis by neural networks applied to power systems transient stability[J]. Electric Power Systems Research, 2007, 77(7):730-738.