Automatic reactive power and voltage control for regional power grid based on SVM
- Resource Type
- Conference
- Authors
- Meng, Xiangxing; Sun, Guozhong; Li, Jianxiang; Liu, Haibo
- Source
- 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013) TENCON 2013 - 2013 IEEE Region 10 Conference (31194). :1-4 Oct, 2013
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Reactive power
Substations
Voltage control
Support vector machine classification
Optimization
Capacitors
power systems
reactive and voltage control
SVM
multi-class classification
progressive learning
- Language
- ISSN
- 2159-3442
2159-3450
In this paper, the traditional reactive power and voltage control problem is regarded as a multi-class classification problem, and a novel approach based on Support Vector Machine (SVM) classifier is proposed. According to the approach, the power grid operating status is classified according to the power factor and voltage at each substation and the corresponding control strategy is selected to control the capacitors and transformer taps. A naive progressive learning strategy is also presented to make sure the classifier can keep learning in the operation process. The approach is suitable for online operation. The decision results are robust and coordination operation between the substations can be achieved. A simple radial system containing three substations is used for case study. The results illustrate the effectiveness of the proposed approach.