Transient Stability Assessment Using Fuzzy SVM and Modified Preventive Control
Transient Stability is an important issue in power systems planning, operation and extension. The objective of transient stability analysis problem is not satisfied with mere transient instability detection or evaluation and it is most important to complement it by defining fast and efficient control measures in order to ensure system security. This paper presents a new Fuzzy Support Vector Machines (FSVM) to investigate the stability status of power systems and a modified generation rescheduling scheme to bring back the identified unstable cases to a more economical and stable operating point. FSVM improves the traditional SVM (Support Vector Machines) by adding fuzzy membership to each training sample to indicate the degree of membership of this sample to different classes. The preventive control based on economic generator rescheduling avoids the instability of the power systems with minimum change in operating cost under disturbed conditions. Numerical results on the New England 39 bus test system show the effectiveness of the proposed method.
[1] Tang,C.K.,Graham,G.E., Kady,M.El.,Alden:"Transient Stability Index
from Conventional Time Domain Simulation", IEEE transactions on
Power System 1994,9, (3) pp .151-157
[2] Pai, M.A.: "Energy Function Analysis of power System", (Kluwer
Academic Publishers.1989)
[3] Ostojic, D.R, Heydt, G.T., "Transient Stability Assessment by Pattern
Recognition in the Frequency Domain" IEE Proceedings on Electric
Power Applications, Vol.139, Issue 4, pp321 - 335, Jul 1992
[4] Zhou,J.Davdson and.Fauod, A.A.: "Application of artificial Neural
Network in power system security and vulnerability assessment",IEEE
transactions on Power System,1994,9,(1),pp .525-532
[5] RovnYak, S., Kretsinger, S., Thorp J., and Brown, D.: "Decision Trees
For Real Time Transient Stability Prediction", IEEE transactions on
Power System, 1994, 9, pp. 1417-1426
[6] Moulin, L.S., Alves da Silva, A.P.,El-Sharkawi ,M.A., and Marks, R.J.:
"Support Vector Machines for Transient Stability Analysis of Large-
Scale Power Systems", IEEE transactions on Power System ,May 2004,
19,( 2),pp.818-824
[7] Wang, X., Wu, S., Li Q., and Wang X.: "v-SVM for Transient Stability
Assessment in Power System,"ISADS 2005 Proceedings, ,2005,pp 353-
356
[8] Christian Anderson, Jan Erick Solem: "Classification of power System
Stability using Support Vector Machines", IEEE Power Engineering
Society general Meeting, 12-16 June 2005, 1,pp.650-655
[9] Christian Anderson, Jan Erick Solem: "Improvements in Classification
of Power System Security,"IEEE Power Engineering Society general
Meeting, 18-22 June 2006,pp1-6
[10] Gaoyiannis, A.E., Vogiatzis, D.G., Georgiadis, D.P., and Hatziargyriou,
N.D.: "Combined Support Vector classifiers using fuzzy clustering for
Dynamic Security Assessment",IEEE Power Engineering Society
Summer Meeting, 2001 IEEE, 15-19 July 2001,pp.1281-1286
[11] Chun-Fu Lin and Sheng-De Wang: "Fuzzy Support Vector Machines",
IEEE Trans. on Neural Networks, March 2002,13, (2), pp.464 - 471
[12] Huang HP,Liu YH: "Fuzzy Support Vector machines for Pattern
Recognition and Data Mining", International Journal on Fuzzy System,
2002, 4,( 3),pp.121-127
[13] Fang, D.Z., Yang Xiaodong, SunJingqiang, Yuan Shiqiang, and Zang
Yao: "An Optimal Generation Rescheduling Approach for Transient
Stability Enhancement" IEEE Transactions on Power systems,
Feb2007.22, (1), pp386-393
[14] Nguyen, Tony B. Student Member, IEEE and Pai, M.A. Fellow, IEEE:
"Dynamic Security Constrained Rescheduling of Power Systems Using
Trajectory Sensitivities" IEEE Transactions on Power systems, May
2003,18,(2), pp.848 - 854
[15] Yoshinori kato and Shinichi Iwamoto: "Transient stability Preventive
Control for Stable Operating Condition with Desired CCT" IEEE
Transactions on Power systems, Nov 2003,17, (4), pp.1154 - 1160
[16] Chung,Member,C.Y., IEEE,lei Wang,member,IEEE,Frederic Howell
and PrabhaShankar Kundur,Fellow ,IEEE: "Generation Rescheduling
Methods to Improve Power Transfer Capability Constrained by Small
Signal Stability", IEEE Transactions on Power systems, Feb 2004, 19,
(1), pp.524 - 529
[1] Tang,C.K.,Graham,G.E., Kady,M.El.,Alden:"Transient Stability Index
from Conventional Time Domain Simulation", IEEE transactions on
Power System 1994,9, (3) pp .151-157
[2] Pai, M.A.: "Energy Function Analysis of power System", (Kluwer
Academic Publishers.1989)
[3] Ostojic, D.R, Heydt, G.T., "Transient Stability Assessment by Pattern
Recognition in the Frequency Domain" IEE Proceedings on Electric
Power Applications, Vol.139, Issue 4, pp321 - 335, Jul 1992
[4] Zhou,J.Davdson and.Fauod, A.A.: "Application of artificial Neural
Network in power system security and vulnerability assessment",IEEE
transactions on Power System,1994,9,(1),pp .525-532
[5] RovnYak, S., Kretsinger, S., Thorp J., and Brown, D.: "Decision Trees
For Real Time Transient Stability Prediction", IEEE transactions on
Power System, 1994, 9, pp. 1417-1426
[6] Moulin, L.S., Alves da Silva, A.P.,El-Sharkawi ,M.A., and Marks, R.J.:
"Support Vector Machines for Transient Stability Analysis of Large-
Scale Power Systems", IEEE transactions on Power System ,May 2004,
19,( 2),pp.818-824
[7] Wang, X., Wu, S., Li Q., and Wang X.: "v-SVM for Transient Stability
Assessment in Power System,"ISADS 2005 Proceedings, ,2005,pp 353-
356
[8] Christian Anderson, Jan Erick Solem: "Classification of power System
Stability using Support Vector Machines", IEEE Power Engineering
Society general Meeting, 12-16 June 2005, 1,pp.650-655
[9] Christian Anderson, Jan Erick Solem: "Improvements in Classification
of Power System Security,"IEEE Power Engineering Society general
Meeting, 18-22 June 2006,pp1-6
[10] Gaoyiannis, A.E., Vogiatzis, D.G., Georgiadis, D.P., and Hatziargyriou,
N.D.: "Combined Support Vector classifiers using fuzzy clustering for
Dynamic Security Assessment",IEEE Power Engineering Society
Summer Meeting, 2001 IEEE, 15-19 July 2001,pp.1281-1286
[11] Chun-Fu Lin and Sheng-De Wang: "Fuzzy Support Vector Machines",
IEEE Trans. on Neural Networks, March 2002,13, (2), pp.464 - 471
[12] Huang HP,Liu YH: "Fuzzy Support Vector machines for Pattern
Recognition and Data Mining", International Journal on Fuzzy System,
2002, 4,( 3),pp.121-127
[13] Fang, D.Z., Yang Xiaodong, SunJingqiang, Yuan Shiqiang, and Zang
Yao: "An Optimal Generation Rescheduling Approach for Transient
Stability Enhancement" IEEE Transactions on Power systems,
Feb2007.22, (1), pp386-393
[14] Nguyen, Tony B. Student Member, IEEE and Pai, M.A. Fellow, IEEE:
"Dynamic Security Constrained Rescheduling of Power Systems Using
Trajectory Sensitivities" IEEE Transactions on Power systems, May
2003,18,(2), pp.848 - 854
[15] Yoshinori kato and Shinichi Iwamoto: "Transient stability Preventive
Control for Stable Operating Condition with Desired CCT" IEEE
Transactions on Power systems, Nov 2003,17, (4), pp.1154 - 1160
[16] Chung,Member,C.Y., IEEE,lei Wang,member,IEEE,Frederic Howell
and PrabhaShankar Kundur,Fellow ,IEEE: "Generation Rescheduling
Methods to Improve Power Transfer Capability Constrained by Small
Signal Stability", IEEE Transactions on Power systems, Feb 2004, 19,
(1), pp.524 - 529
@article{"International Journal of Electrical, Electronic and Communication Sciences:50213", author = "B. Dora Arul Selvi and .N. Kamaraj", title = "Transient Stability Assessment Using Fuzzy SVM and Modified Preventive Control", abstract = "Transient Stability is an important issue in power systems planning, operation and extension. The objective of transient stability analysis problem is not satisfied with mere transient instability detection or evaluation and it is most important to complement it by defining fast and efficient control measures in order to ensure system security. This paper presents a new Fuzzy Support Vector Machines (FSVM) to investigate the stability status of power systems and a modified generation rescheduling scheme to bring back the identified unstable cases to a more economical and stable operating point. FSVM improves the traditional SVM (Support Vector Machines) by adding fuzzy membership to each training sample to indicate the degree of membership of this sample to different classes. The preventive control based on economic generator rescheduling avoids the instability of the power systems with minimum change in operating cost under disturbed conditions. Numerical results on the New England 39 bus test system show the effectiveness of the proposed method.
", keywords = "Fuzzy Support Vector Machine (FSVM), Incremental
Cost, Preventive Control, Transient stability", volume = "2", number = "9", pages = "1741-7", }
