Nondominated sorting genetic algorithm for optimal phasor measurement placement

IEEE Transactions on Power Systems

Volumn 18, Issue 1, 2003, Pages 69-75

  Milošević, Borka ^a   Begović, Miroslav ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Genetic algorithm (GA); Multiobjective optimization; Nondominated sorting; Pareto optimal solutions; Phasor measurement unit (PMU); Topological observability

Indexed keywords

ELECTRIC POTENTIAL; GENETIC ALGORITHMS; GRAPH THEORY; OPTIMIZATION; PARETO PRINCIPLE; TOPOLOGY;

PHASOR MEASUREMENT UNITS (PMU);

PHASE MEASUREMENT;

EID: 0037292302     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2002.807064     Document Type: Article

References (12)

1. R. E. Wilson, "Satellite synchronized measurements confirm power equation," IEEE Potentials, 1994.
2. L. Mill, T. Baldwin, and R. Adapa, "Phasor measurement placement for voltage stability analysis of power systems," in Proc. 29th IEEE Conf. Decision and Control, Honolulu, HI, Dec. 1990.
3. A. G. Phadke, J. S. Throp, and K. J. Karimi, "State estimation with phasor measurements," IEEE Trans. Power Syst., vol. PWRS-1, pp. 233-241, Feb. 1986.
4. K. A. Clements and B. F. Wollenberg, "An algorithm for observability determination in power system state determination," in IEEE Power Eng. Soc. Summer Meeting, San Francisco, CA, 1975, Paper A 75 447-3.
5. T.L. Baldwin, L. Mill, M. B. Boisen, and R. Adapa, "Power system observability with minimal phasor measurement placement," IEEE Trans. Power Syst., vol. 8, pp. 707-715, May 1993.
6. T. P. Bagchi, Multiobjective Scheduling by Genetic Algorithms. Norwell, MA: Kluwer, 1999.
7. N. Srivans and K. Deb, "Multiobjective optimization using non-dominated sorting genetic algorithm," in Evolutionary Computations. Cambridge, MA: MIT Press, 1995, vol. 2, pp. 221-248.
8. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 1989.
9. K. Deb and T. Goel, "Multi-objective evolutionary algorithms for engineering shape design," in Proc. 4th Int. Conf. Adaptive Computing in Design and Manufacture, 2000.
10. C.M. Fonseca and P. J. Fleming, "Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization," in Proc. 5th Int. Conf. Genetic Algorithms: S. Forest, 1993.
11. D.E. Goldberg and J. J. Richardson, "Genetic algorithms with sharing for multi-modal function optimization," in Genetic Algorithms and Their Applications: Proc. of the 2nd Int. Conf. on Genetic Algorithms: Lawrence Erlbaum Associates, 1987.
12. C.M. Fonseca and P. J. Fleming, On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers, ser. Lecture Notes in Computer Science Berlin, Germany, 1996, pp. 584-593.