TY - GEN
T1 - Study on Disturbance Propagation Characteristics of Power Grid and Evaluation of Temporal and Spatial Correlation Characteristics of Voltage Phase Trajectory
AU - Kong, Yibo
AU - Feng, Changyou
AU - Yang, Hongying
AU - Yan, Liping
N1 - Publisher Copyright:
© 2022 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2022
Y1 - 2022
N2 - With the access of large-scale new energy and power electronic equipment, as well as the influence of various random uncertain factors, the analysis and control of dynamic security of large power grids become particularly difficult, so it is of great practical significance to study the disturbance propagation characteristics of complex power grids. Voltage is an important parameter that affects the security of power systems, and the voltage phase trajectory contains abundant power grid information. Firstly, based on the measured data, this paper quantitatively describes the characteristics of dynamic space-time distribution of the voltage, and numerically reveals the different influences of disturbance on different nodes and the characteristics of disturbance propagation. Then, the geometric characteristics of the measured voltage phase trajectory are mined, the new trajectory distance is defined, the characteristic trajectory plane is constructed, and the spatio-temporal evolution law of voltage phase trajectory is characterized. In the sequel, through the density-based DBSCAN clustering method, the characteristic tracks of voltage movement are clustered and analyzed, and the temporal and spatial correlation characteristics of voltage movement trends of each node are measured, and the law of disturbance propagation is discovered. Finally, based on the measured data of IEEE 39-bus system, the simulation analysis is carried out, and the effectiveness of the presented algorithm is verified.
AB - With the access of large-scale new energy and power electronic equipment, as well as the influence of various random uncertain factors, the analysis and control of dynamic security of large power grids become particularly difficult, so it is of great practical significance to study the disturbance propagation characteristics of complex power grids. Voltage is an important parameter that affects the security of power systems, and the voltage phase trajectory contains abundant power grid information. Firstly, based on the measured data, this paper quantitatively describes the characteristics of dynamic space-time distribution of the voltage, and numerically reveals the different influences of disturbance on different nodes and the characteristics of disturbance propagation. Then, the geometric characteristics of the measured voltage phase trajectory are mined, the new trajectory distance is defined, the characteristic trajectory plane is constructed, and the spatio-temporal evolution law of voltage phase trajectory is characterized. In the sequel, through the density-based DBSCAN clustering method, the characteristic tracks of voltage movement are clustered and analyzed, and the temporal and spatial correlation characteristics of voltage movement trends of each node are measured, and the law of disturbance propagation is discovered. Finally, based on the measured data of IEEE 39-bus system, the simulation analysis is carried out, and the effectiveness of the presented algorithm is verified.
KW - Disturbance propagation
KW - Temporal and spatial correlation characteristics
KW - Trajectory clustering
KW - Voltage phase trajectory
UR - http://www.scopus.com/inward/record.url?scp=85140479850&partnerID=8YFLogxK
U2 - 10.23919/CCC55666.2022.9902545
DO - 10.23919/CCC55666.2022.9902545
M3 - Conference contribution
AN - SCOPUS:85140479850
T3 - Chinese Control Conference, CCC
SP - 6136
EP - 6141
BT - Proceedings of the 41st Chinese Control Conference, CCC 2022
A2 - Li, Zhijun
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 41st Chinese Control Conference, CCC 2022
Y2 - 25 July 2022 through 27 July 2022
ER -