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| Approximating Method of Wide Area Thermal Security Region Boundary in Bulk Power System |
| Jiang Tao1, Jia Hongjie1, Jiang Yilang1, Kong Xiangyu1, Lu Ning2 |
1. Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin 300072 China;
2. Department of Electrical and Computer Engineering NC State University Raleigh 27695-791 U.S. |
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Abstract In this paper, approximating approaches are investigated for wide-area thermal security region boundary (SRB) in large-scale power system with N-1 criterion through multivariate nonlinear regression theory. Multivariate nonlinear regression theory is adopted to construct various multivariate nonlinear regression models for fitting SRB. Goodness of fit, significance level for model, significance level for variable and confidence intervals for regression coefficient are employed to comprehensively assess the reliability of the proposed approximating model and determine the appropriate model for fitting SRB. A realistic large-scale power system is utilized to validate and evaluate the various proposed models with massive scenarios, and then an appropriate model for fitting SRB is determined. With this appropriate model, a rapid algorithm for fitting SRB is developed, and the approximating approach for SRB with multiple N-1 constraints is also investigated. The proposed approach is further applied to the realistic large-scale power system to form a wide-area thermal security region for cross-section with multiple N-1 constraints. The results verify the proposed model.
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Received: 26 March 2014
Published: 28 April 2016
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2016, Vol. 31 
