论文信息 - Probabilistic design of power-system special stability controls

Probabilistic design of power-system special stability controls

A probabilistic approach to the design of power-system special stability controls is presented here. Using Monte-Carlo simulations, it takes into account all the potential causes of blackouts, slow and fast dynamics, and modeling uncertainties. A large number of scenarios are simulated in parallel by time-domain numerical integration, and the relevant parameters of the resulting system trajectories are stored in a database. Data-mining tools are used to identify the most important system weaknesses and possible improvements. The approach is tested on a large-scale study on the South—Eastern part of the extra-high-voltage system of Electricite& de France. ( 1999 Elsevier Science ‚td. All rights reserved.

[1] Louis Wehenkel,et al. Early prediction of electric power system blackouts by temporal machine learning , 1998 .

[2] Louis Wehenkel,et al. Automatic Learning Approaches for On-Line Transient Stability Preventive Control of the Hydro-Quebec System , 1995 .

[3] Louis Wehenkel,et al. Statistical Approaches to Dynamic Security Assessment : The Data Base Generation Problem , 1995 .

[4] Mathukumalli Vidyasagar,et al. A Theory of Learning and Generalization , 1997 .

[5] Louis Wehenkel,et al. Machine learning, neural networks and statistical pattern recognition for voltage security: a comparative study , 1994 .

[6] Louis Wehenkel,et al. Automatic Learning Techniques in Power Systems , 1997 .

[7] Louis Wehenkel,et al. Decision tree based transient stability method a case study , 1994 .

[8] A. Invernizzi,et al. Power system security assessment: a position paper , 1997 .

[9] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[10] Louis Wehenkel,et al. Decision tree approach to power systems security assessment , 1993 .

[11] Pierre Geurts,et al. Visualizing dynamic power system scenarios for data mining , 1998 .