Decision Tree Algorithm for Real-Time Identification of Critical Voltage Control Areas

Abstract:

Voltage stability, is driven by the balance of reactive power in a transmission power grid, and depends on the reactive power produced by the power stations and the value generated by the capacitive power lines and static compensators. Of particular interest is to identify those Critical Voltage Control Areas (CVCAs) in a transmission power grid, that may suffer reactive power deficiencies. Since speed of analysis is critical for on-line applications the approach will address the development of a scheme whereby CVCAs can be identified using data mining techniques from on-line power system snapshot (PMU). The database for storing/retrieving result of Modal Analysis can be used to construct decision trees (DTs) for each of the identified CVCAs using key power system attributes. The objective of this paper is to propose an new real-time methodology for identification of CVCAs, which is key function for preventive and remedial actions against instability of the Electrical Power System (EPS). This is carried out under various system operation and contingency conditions by using off-line trained decision trees generated and on-line PMU measurements. Numerical results on the 12-bus test system, shows the suitability and effectiveness of the proposed method.

• Periodical: Applied Mechanics and Materials (Volume 666)
• Pages: 132-137
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.666.132
• Online since: October 2014
• Authors: Robert Andrzej Lis
• Keywords: Decision Trees, Modal Analysis, P-V Curve Analysis, Reactive Power, Voltage Stability

References

[1] Z. Rui; X. Yan; D. Zhao-Yang; M. Ke; X. Zhao, Intelligent systems for power system dynamic security assessment: Review and classification, Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), pp.134-139, ISBN 9781457703645, (2011).

DOI: 10.1109/drpt.2011.5993876

[2] L. Wang, Techniques for high performance analysis of transient stability, ISBN: 9781467327275, 22-26 July (2012).

[3] L. Wang; K. Morison, Implementation of online security assessment, Power and Energy Magazine, IEEE, vol. 4, no. 5, pp.46-59, ISSN 15407977, Sept. -Oct. (2006).

[4] B. Gao; K. Morison, P. Kundur, Voltage stability evaluation using modal analysis, IEEE Transactions on Power Systems, vol. 7, no. 4, p.15291542, Nov (1992).

DOI: 10.1109/59.207377

[5] A.G. Phadke; J.S. Thorp, Synchronized Phasor Measurements and Their Applications, Springer Science+Business Media, NY, ISBN 978-0387765358, (2008).

[6] Ch. Liua, Z. H. Rathera, Z. Chena, C. L. Bak, An overview of decision tree applied to power systems, International Journal of Smart Grid and Clean Energy, vol. 2 iss. 3 pp.413-419, ISSN 23154462, (2013).

DOI: 10.12720/sgce.2.3.413-419