JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Generation Rescheduling Based on Energy Margin Sensitivity for Transient Stability Enhancement
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Generation Rescheduling Based on Energy Margin Sensitivity for Transient Stability Enhancement
Kim, Kyu-Ho; Rhee, Sang-Bong; Hwang, Kab-Ju; Song, Kyung-Bin; Lee, Kwang Y.;
  PDF(new window)
 Abstract
This paper presents a generation rescheduling method for the enhancement of transient stability in power systems. The priority and the candidate generators for rescheduling are calculated by using the energy margin sensitivity. The generation rescheduling formulates the Lagrangian function with the fuel cost and emission such as NOx and SOx from power plants. The generation rescheduling searches for the solution that minimizes the Lagrangian function by using the Newton’s approach. While the Pareto optimum in the fuel cost and emission minimization has a drawback of finding a number of non-dominated solutions, the proposed approach can explore the non-inferior solutions of the multiobjective optimization problem more efficiently. The method proposed is applied to a 4-machine 6-bus system to demonstrate its effectiveness.
 Keywords
Generation rescheduling;Transient stability enhancement;Emission control;Energy margin sensitivity;Newton’s approach.;
 Language
English
 Cited by
 References
1.
H. W. Dommel and W. F. Tinney, “Optimal power flow solution,” IEEE Trans. on PAS, 87, pp. 1866-1876, 1968.

2.
D. I. Sun, B. Ashley, B. Brewer, A. Hughes, and W. F. Tinney, “Optimal power flow by the Newton’s Approach,” IEEE Trans. on PAS, Vol. 103, No. 10, pp. 2864-2880, 1984.

3.
R. Y. Kwok, “Optimal power flow in power system analysis,” Energy Systems Research Center, The University of Texas at Arlington, 1987.

4.
C. W. Sanders and C. A. Monroe, “An Algorithm for Real-Time Security Constrained Economic Dispatch,” IEEE PWRS-2, Nov. 1987.

5.
A. Monticelli, M.V.F. Pereira, and S. Granville, “Security-constrained optimal power flow with post contingency corrective rescheduling,” IEEE PWRS-2, Feb. 1988.

6.
W. C. Merrit, C. H. Saylor, R. C. Burchett and H. H. Happ, “Security constrained optimization-a case study,” IEEE PWRS-3, Aug. 1988.

7.
J. Sterling, M. A. Pai, and P. W. Sauer, “A Methodology to secure and optimal operation of a power system for dynamic contingencies,” Journal of Electric Machines and Power Systems, Vo1. 19, No. 5, Sept.-Oct. 1991.

8.
A. A. Fouad and J. Tong, “Stability constrained optimal rescheduling of generation,” IEEE Trans. on Power Systems, Vol. 8, No. 1, pp.105-112, Feb. 1993. crossref(new window)

9.
D. H. Kuo and A. Bose, “A generation rescheduling method to increase the dynamic security of power systems,” IEEE Transactions on Power Systems, Vol. 10, No. 1, pp. 68-76, Feb. 1995. crossref(new window)

10.
P. W. Sauer, K. D. Demaree, and M. A. Pai, “Stability limited load supply and interchange capability,” IEEE Trans. on Power Apparatus and Systems, Vol. 102, No. 11, pp. 3637-3643, Nov. 1983.

11.
V. Vittal, E. Zhou, C. Hwang, and A. A. Fouad, “Derivation stability limits using analytical sensitivity of the transient energy margin,” IEEE Trans. on Power Systems. Vol. 4, No. 10, pp. 1363-1372, Oct. 1989. crossref(new window)

12.
J. Tong, H. D. Chiang, and T. P. Conneen, "A sensitivity-based BCU method for fast derivation of stability limits in electric power systems," 92 WM 149-5 PWRS.

13.
J. A. Momoh and C. B. Fffiong, “Generation rescheduling for dynamic security enhancement for multi-area power system,” Proc. IEEE Int. Conf. Computational Cybernetics and Simulation: Systems, Man and Cybernetics, 4, pp. 3437-3442, 1987.

14.
D. Z. Fang, Y. Xiaodong, S. Jingqiang, Y. Shiqiang, and Z. Yao, “An optimal generation rescheduling approach for transient stability enhancement,” IEEE Trans. on Power System, Vol. 22, No. 1, pp. 386-394, Feb. 2007. crossref(new window)

15.
J. H. Talaq, F. El-Hawary, and M. E. El-Hawary, “A summary of environmental / economic dispatch algorithms,” IEEE Trans. on Power Syst., Vol. 9, pp. 1508-1516, Aug. 1994. crossref(new window)

16.
M. A. Abido, “Environmental / economic power dispatch using multiobjective evolutionary algorithms,” IEEE Trans. on Power System, Vol. 18, No. 4, pp. 1529 -1537, Nov. 2003. crossref(new window)

17.
L. H. Wua, Y. N. Wanga, X. F. Yuana, and S. W. Zhoub, “Environmental/economic power dispatch problem using multi-objective differential evolution algorithm,” Electric Power Systems Research Vol. 80, pp. 1171-1181, 2010. crossref(new window)

18.
M. A. Pai, Energy Function Analysis for Power System Stability, Kluwer Academic Publishers, 1989.

19.
A. A. Fouad and V. Vittal, “Power system transient stability analysis using the transient energy function methods,” Prentice Hall, 138, 1992.

20.
S.-N. Kim, K.-H. Kim, and S.-K. You, “Real-time estimation of multiple series capacitor quantity for transient stability energy margin improvement,” IEEE PES Winter Meeting, pp. 238-243, Jan. 2002.

21.
K.-H. Kim, S.-N. Kim, S.-B. Rhee, S.-K. Lee, and K.-B. Song, “Assessment of total transfer capability subject to transient stability energy margin,” IEEE Transmission and Distribution Asia, September, pp. 238-243, 2008.

22.
K.-H. Kim, S.-B. Rhee, K.-B. Song, K.-J. Hwang, and K. Y. Lee, “Optimal power flow based on generation rescheduling priority for transient stability enhancement,” IFAC Symposium on Power Plants and Power System Control, Toulouse, France, Sep. 2012.