Metrika članka

  • citati u SCindeksu: 0
  • citati u CrossRef-u:0
  • citati u Google Scholaru:[=>]
  • posete u poslednjih 30 dana:1
  • preuzimanja u poslednjih 30 dana:1
članak: 2 od 3  
Back povratak na rezultate
Serbian Journal of Electrical Engineering
2009, vol. 6, br. 1, str. 119-133
jezik rada: engleski
vrsta rada: neklasifikovan
objavljeno: 09/06/2009
doi: 10.2298/SJEE0901119S
Application of a fast and Elitist multi-objective genetic algorithm to Reactive Power Dispatch
(naslov ne postoji na srpskom)
aInstrumentation and Control Engineering Department, Arulmigu Kalasalingam College of Engineering, Anand Nagar, Tamilnadu, India
bElectrical and Electronics Engineering Department, Arulmigu Kalasalingam College of Engineering, Anand Nagar, Tamilnadu, India
cElectrical Engineering Department, Thiagarajar College of Engineering, Tamilnadu, India



(ne postoji na srpskom)
This paper presents an Elitist Non-Dominated Sorting Genetic Algorithm version II (NSGA-II), for solving the Reactive Power Dispatch (RPD) problem. The optimal RPD problem is a nonlinear constrained multi-objective optimization problem where the real power loss and the bus voltage deviations are to be minimized. Since the problem is treated as a true multi-objective optimization problem, different trade-off solutions are provided. The decision maker has an option to choose a solution among the different trade-off solutions provided in the pareto-optimal front. The standard IEEE 30-bus test system is used and the results show the effectiveness of NSGA-II and confirm its potential to solve the multi-objective RPD problem. The results obtained by NSGA-II are compared and validated with conventional weighted sum method using Real-coded Genetic Algorithm (RGA) and NSGA.

Ključne reči

Reactive Power Dispatch; multi-objective; non-dominated sorting genetic algorithm; optimization


Abdul-Rahman, K.H., Shahidehpour, S.M. (1993) A fuzzy-based optimal reactive power control. IEEE Transactions on Power Systems, 8(2): 662
Bridenbaugh, C.J., DiMascio, D.A., Aquita, R.D. (1992) Voltage control improvement through capacitor and transformer tap optimization. IEEE Transactions on Power Systems, 7(1): 222
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T. (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2): 182
Deb, K. (2000) An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering, vol. 186, br. 2-4, str. 311-338
Hong, Y.Y., Sun, I., Lin, S.Y., Lin, C.J. (1990) Multi-year multi-case optimal VAR planning. IEEE Transactions on Power Systems, 5(4): 1294
Kalyanmoy, D. (2001) Multi-objective optimization using evolutionary algorithms. New York: John Wiley and Sons
Knowles, J., Corne, D. (1999) The Pareto archived evolution strategy: A new Baseline algorithm for multiobjective optimization. u: Congress on Evolutionary Computation, Proceedings, str. 98-105
Knowles, J.D., Watson, R.A., Corne, D.W. (2001) Reducing local optima in single-objective problems by multi-objectivization. u: First International Conference on Evolutionary Multi-criterion Optimization, Proceedings, str. 269-283
Lee, K.Y., Park, Y.M., Ortiz, J.L. (1985) An united approach to optimal real and reactive power dispatch. IEEE Transactions on Power Apparatus and System, vol. PAS-104, br. 5, str. 1147-1153
Lenin, K., Mohan, M.R. (2006) Ant colony search algorithm for optimal reactive power optimization. Serbian Journal of Electrical Engineering, vol. 3, br. 1, str. 77-88
Mamandur, K.R.C., Chenoweth, R.D. (1981) Optimal control of reactive power flow for improvements in voltage profiles and for real power loss minimization. IEEE Transactions on Power Apparatus and System, vol. PAS-100, br. 7, str. 3185-3194
Meza, J.L.C., Yildirim, M.B., Masud, A.S.M. (2007) A model for the multiperiod multiobjective power generation expansion problem. IEEE Transactions on Power Systems, 22(2): 871
Opoku, G. (1990) Optimal power system VAr planning. IEEE Transactions on Power Systems, 5(1): 53
Srinivas, N., Deb, K. (1994) Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. Evolutionary Computation, 2(3): 221
Tomsovic, K. (1992) A fuzzy linear programming approach to the reactive power/voltage control problem. IEEE Transactions on Power Systems, 7(1): 287
Zitzler, E. (1999) Evolutionary algorithms for multiobjective optimization: Methods and applications. Zurich, Switzerland: Swiss Federal Institute of Technology (ETH), Doctoral Dissertation ETH 13398