Machine learning; Power systems security; Reliability control
Abstract :
[en] Fine operating rules for security control and an automatic system for their online discovery were developed to adapt to the development of smart grids. The automatic system uses the real-time system state to determine critical flowgates, and then a continuation power flow-based security analysis is used to compute the initial transfer capability of critical flowgates. Next, the system applies the Monte Carlo simulations to expected short-term operating condition changes, feature selection, and a linear least squares fitting of the fine operating rules. The proposed system was validated both on an academic test system and on a provincial power system in China. The results indicated that the derived rules provide accuracy and good interpretability and are suitable for real-time power system security control. The use of high-performance computing systems enables these fine operating rules to be refreshed online every 15 min.
Disciplines :
Computer science Energy Electrical & electronics engineering
Author, co-author :
Sun, Hongbin
Zhao, Feng
Wang, Huifang
Wang, Kangping
Jiang, Wei
Guo, Qinglai
Zhang, Boming
Wehenkel, Louis ; Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
Automatic learning of fine operating rules for online power system security control
Publication date :
August 2016
Journal title :
IEEE Transactions on Neural Networks and Learning Systems
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
P. Panciatici, G. Bareux, and L. Wehenkel, "Operating in the fog: Security management under uncertainty, " IEEE Power Energy Mag., vol. 10, no. 5, pp. 40-49, Sep./Oct. 2012.
T. E. Dy-Liacco, "Enhancing power system security control, " IEEE Comput. Appl. Power, vol. 10, no. 3, pp. 38-41, Jul. 1997.
L. Wehenkel, "Machine learning approaches to power-system security assessment, " IEEE Expert, vol. 12, no. 5, pp. 60-72, Sep./Oct. 1997.
E. M. Voumvoulakis and N. D. Hatziargyriou, "A particle swarm optimization method for power system dynamic security control, " IEEE Trans. Power Syst., vol. 25, no. 2, pp. 1032-1041, May 2010.
X. Boyen and L. Wehenkel, "Automatic induction of fuzzy decision trees and its application to power system security assessment, " Fuzzy Sets Syst., vol. 102, no. 1, pp. 3-19, 1999.
M. T. Schilling, J. C. S. Souza, A. P. Alves da Silva, and M. B. Do Coutto Filho, "Power systems reliability evaluation using neural networks, " Int. J. Eng. Intell. Syst. Elect. Eng. Commun., vol. 9, no. 4, pp. 219-226, 2001.
I. Houben, L. Wehenkel, and M. Pavella, "Coupling of K-NN with decision trees for power system transient stability assessment, " in Proc. 4th IEEE Conf. Control Appl., Albany, NY, USA, Sep. 1995, pp. 825-832.
L.Wehenkel, "Emergency control and its strategies, " in Proc. 13th Power Syst. Comput. Conf., Trondheim, Norway, Jun. 1999, pp. 35-48.
Y. Jiang and Z.-P. Jiang, "Robust adaptive dynamic programming with an application to power systems, " IEEE Trans. Neural Netw. Learn. Syst., vol. 24, no. 7, pp. 1150-1156, May 2013.
A. B. R. Kumar, V. Brandwajn, A. Ipakchi, and R. Adapa, "Integrated framework for dynamic security analysis, " IEEE Trans. Power Syst., vol. 13, no. 3, pp. 816-821, Aug. 1998.
M. He, J. Zhang, and V. Vittal, "Robust online dynamic security assessment using adaptive ensemble decision-tree learning, " IEEE Trans. Power Syst., vol. 28, no. 4, pp. 4089-4098, Nov. 2013.
K. Sun, S. Likhate, V. Vittal, V. S. Kolluri, and S. Mandal, "An online dynamic security assessment scheme using phasor measurements and decision trees, " IEEE Trans. Power Syst., vol. 22, no. 4, pp. 1935-1943, Nov. 2007.
C. Zheng, V. Malbasa, and M. Kezunovic, "Regression tree for stability margin prediction using synchrophasor measurements, " IEEE Trans. Power Syst., vol. 28, no. 2, pp. 1978-1987, May 2013.
I. Kamwa, S. R. Samantaray, and G. Joos, "Development of rule-based classifiers for rapid stability assessment of wide-area post-disturbance records, " IEEE Trans. Power Syst., vol. 24, no. 1, pp. 258-270, Feb. 2009.
Y. Xu, Z. Y. Dong, J. H. Zhao, P. Zhang, and K. P. Wong, "A reliable intelligent system for real-time dynamic security assessment of power systems, " IEEE Trans. Power Syst., vol. 27, no. 3, pp. 1253-1263, Aug. 2012.
C. Liu et al., "A systematic approach for dynamic security assessment and the corresponding preventive control scheme based on decision trees, " IEEE Trans. Power Syst., vol. 29, no. 2, pp. 717-730, Mar. 2014.
N. Senroy, G. T. Heydt, and V. Vittal, "Decision tree assisted controlled islanding, " IEEE Trans. Power Syst., vol. 21, no. 4, pp. 1790-1797, Nov. 2006.
S. Mishra, "Neural-network-based adaptive UPFC for improving transient stability performance of power system, " IEEE Trans. Neural Netw., vol. 17, no. 2, pp. 461-470, Mar. 2006.
I. Genc, R. Diao, V. Vittal, S. Kolluri, and S. Mandal, "Decision treebased preventive and corrective control applications for dynamic security enhancement in power systems, " IEEE Trans. Power Syst., vol. 25, no. 3, pp. 1611-1619, Aug. 2010.
N. D. Hatziargyriou, G. C. Contaxis, and N. C. Sideris, "A decision tree method for on-line steady state security assessment, " IEEE Trans. Power Syst., vol. 9, no. 2, pp. 1052-1061, May 1994.
L. Wehenkel, M. Pavella, E. Euxibie, and B. Heilbronn, "Decision tree based transient stability method a case study, " IEEE Trans. Power Syst., vol. 9, no. 1, pp. 459-469, Feb. 1994.
L. Wehenkel and M. Pavella, "Decision tree approach to power systems security assessment, " Int. J. Elect. Power Energy Syst., vol. 15, no. 1, pp. 13-36, 1993.
L. Wehenkel, I. Houben, M. Pavella, L. Riverin, and G. Versailles, "Automatic learning approaches for on-line transient stability preventive control of the Hydro-Québec system-Part I decision tree approaches, " in Proc. 2nd IFAC Symp. Control Power Plants Power Syst. (SIPOWER), Cancún, Mexico, Dec. 1995, pp. 231-236.
J. A. Huang et al., "An intelligent system for advanced dynamic security assessment, " in Proc. Int. Conf. Power Syst. Technol., Kunming, China, Oct. 2002, pp. 220-224.
J. A. Huang, G. Vanier, A. Valette, S. Harrison, and L.Wehenkel, "Application of data mining techniques for automat settings in emergency control at Hydro-Québec, " in Proc. IEEE Power Eng. Soc. General Meeting, Toronto, ON, Canada, Jul. 2003, pp. 2037-2044.
P. Cholley, C. Lebrevelec, S. Vitet, and M. De Pasquale, "Constructing operating rules to avoid voltage collapse: A statistical approach, " in Proc. Int. Conf. Power Syst. Technol., Beijing, China, Aug. 1998, pp. 1468-1472.
W. Jiang, B. Zhang, W. Wu, and H. Sun, "A total transfer capability calculation method for power system operation and decision, " (in Chinese) Autom. Electr. Power Syst., vol. 32, no. 10, pp. 12-17, 2008.
Q. Guo, J. Zhao, B. Zhang, C. Zhao, and Q. Li, "A method for on-line computation of total transfer capability, " (in Chinese) Proc. CSEE, vol. 26, no. 5, pp. 1-5, 2006.
C. Vyjayanthi and D. Thukaram, "Evaluation and improvement of total transfer capability-A case study, " in Proc. IEEE Joint Int. Conf. Power Electron., Drives, Energy Syst. Power India, Mumbai, India, Dec. 2010, pp. 1-6.
S. Chansareewittaya and P. Jirapong, "Total transfer capability enhancement with optimal number of FACTS controllers using hybrid TSSA, " in Proc. IEEE Southeastcon, Orlando, FL, USA, Mar. 2012, pp. 1-7.
S. Chansareewittaya and P. Jirapong, "Total transfer capability enhancement with optimal number of UPFC using hybrid TSSA, " in Proc. 9th Int. Conf. Elect. Eng./Electron., Comput., Telecommun., Inf. Technol., Shanghai, China, May 2012, pp. 1-4.
A. A. Khatir, V. Etard, and R. Cherkaoui, "Assessment of total transfer capability for simultaneous transactions in decentralized multi-areas power systems, " in Proc. IEEE Power Energy Soc. General Meeting, San Diego, CA, USA, Jul. 2012, pp. 1-6.
B. Zhang, "Concept extension and prospects for modern energy control centers, " (in Chinese) Autom. Electr. Power Syst., vol. 27, no. 15, pp. 1-6, 2003.
H. Sun, K. Xie, W. Jiang, H. Wang, and B. Zhang, "Automatic operator for power systems: Principle and prototype, " (in Chinese) Autom. Electr. Power Syst., vol. 31, no. 16, pp. 1-6, 2007.
W. Jiang, H. Sun, B. Zhang, W. Wu, and K. Wang, "Fine operational rule of power system, " (in Chinese) Proc. CSEE, vol. 29, no. 4, pp. 1-7, 2009.
K. Wang, H. Sun, W. Jiang, and B. Zhang, "A two-level refinement method for operational rules in smart control centers, " (in Chinese) Autom. Electr. Power Syst., vol. 34, no. 7, pp. 45-49, 2010.
F. Zhao, H. Sun, and B. Zhang, "Zone division based automatic discovery of flowgates, " (in Chinese) Autom. Electr. Power Syst., vol. 35, no. 5, pp. 42-46, 2011.
B. Zhang and Z. Yan, Advanced Electric Power Network Analysis. Singapore: Cengage Learning Asia, 2010.
P. Kundur, Power System Stability and Control. New York, NY, USA: McGraw-Hill, 1994.
Similar publications
Sorry the service is unavailable at the moment. Please try again later.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.
