Evaluation of Active Power Cost in Combined AC-DC Systems
Evaluation of active power cost in combined AC-DC systems
AbstractIn this paper, the economic dispatch problem in combined AC-DC systems is studied based on the equivalent losses matrix of power flow. The proposed method is started by the calculation of the power flow for combined AC-DC system, then the calculation of the losses matrix. Afterwards, the economic dispatch problem is calculated by interior point method. The active powers which are founded by the economic dispatch problem, are used to recalculate the new power flow. The procedure will be iterated until the results convergence. Finally, several simulations are carried out on 14-bus system including five generation units, with and without DC links.
 A. J. Wood and Wollenberg B. F.: Power generation: operation and control. John. Wiley and Sons. Inc., Second Ed. New York, pp. 29-50, 1996
 Ouiddir R., Rahli M. and Abdelhakem-Koridak L.: Economic dispatch using a genetic algorithm: application to Western Algerian electrical power network, J. of Inf. Sci. and Eng., Vol. 21 pp. 659-668, 2005
 Yalcinoz T. and Altun H.: Environmentally constrained economic dispatch via a genetic algorithm with arithmetic crossover, IEEE AFRICON, Vol. 2 pp. 923 – 928, 2002
 Younes M. and Rahli M.: Economic power dispatch using combination of two genetic algorithms, J. of Electr. and Electron. Eng., Vol. 6 pp. 175-181, 2006
 Yalcinoz T. and Short M. J.: Neural networks approach for solving economic dispatch problem with transmission capacity constraints, IEEE Transactions on Power Systems, Vol. 13 no. 2 pp. 307-314 (1998).
 Moreira F. S., Ohishi T. and da Silva Filho J. I.: Influence of the thermal limits of transmission lines in the economic dispatch, IEEE Power Engineering Society, General Meeting. 2006
 June-Ho Ho P., E Yoo-Shin Shin K., Il-Kyu Kyu L. and Kwang Y.: Economic load dispatch for piecewise quadratic cost function using Hopfield neural network, IEEE Trans. on Power Syst., vol. 8 no. 3 pp.1030-1038 (1993).
 Yong L. and Tao S.: Economic dispatch of power system incorporating wind power plant, Power Engineering Conference, pp.159 – 162, 2007
 Brini S. Abdallah H. H. and Ouali A.: Economic dispatch for power system included wind and solar thermal energy, Leonardo Journal of Sciences, Vol. 14 pp. 204-220, January-June 2009
 Zeynelgil H. L., Sengor N. S. and Demiroren A.: The investigation of environmental/economic dispatch by using Hopfield NN, Power Tech Conference Proceedings, IEEE Bologna, Vol. 2, 2003
 King T. D., El-Hawary M. E. and El-Hawary F.: Optimal environmental dispatching of electric power systems via an improved hopfi3eld neural network model, IEEE Transactions on Power Systems, Vol. 10 no. 3 pp. 1559-1565 (1995).
 King R. T. F. A. and Rughooputh H. C. S.: Elitist multiobjective evolutionary algorithm for environmental/economic dispatch, Congress on Evolutionary Computation, Vol. 2 pp. 1108 – 1114, 2003
 Bayon L., Grau J. M., Ruiz M. M. and Suarez P. M.: the exact solution of the environmental/economic dispatch problem, IEEE Transactions on Power Systems, Vol. 27 no. 2 pp. 723 – 731 (2012).
 Saadat H.: Power System analysis, McGraw-Hill Ser. in Electr. and Comput. Eng., 1999
 Grainger J. J. and Stevenson W. D.: Power Syst. Analysis, McGraw-Hill, New York, 1994
 Wang X., Song Y. and Irving M.: Modern power systems analysis, Springer Sci. Bus. Media, 2008.
 Castronuovo E. D., Campagnolo J. M. and Salgado R.: New version of interior point methods applied to the optimal power flow problem. Brazilian federal center in electrical studies, Brazil, 2001.