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Economic Dispatch Fuzzy Linear Regression and Optimization
Authors: A. K. Al-Othman
Abstract:
This study presents a new approach based on Tanaka's fuzzy linear regression (FLP) algorithm to solve well-known power system economic load dispatch problem (ELD). Tanaka's fuzzy linear regression (FLP) formulation will be employed to compute the optimal solution of optimization problem after linearization. The unknowns are expressed as fuzzy numbers with a triangular membership function that has middle and spread value reflected on the unknowns. The proposed fuzzy model is formulated as a linear optimization problem, where the objective is to minimize the sum of the spread of the unknowns, subject to double inequality constraints. Linear programming technique is employed to obtain the middle and the symmetric spread for every unknown (power generation level). Simulation results of the proposed approach will be compared with those reported in literature.Keywords: Economic Dispatch, Fuzzy Linear Regression (FLP)and Optimization.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1057477
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[1] R. B. Alder, "Security consideration economic dispatch with participation factors," IEEE Transactions on Power Apparatus and Systems, vol. PAS- 96, March-April 1977 1977.
[2] R. T. Bui and S. Ghaderpanah, "Real power rescheduling and security assessment," IEEE Transactions on Power Apparatus and Systems, vol. PAS-101, pp. 2906-15, 1982.
[3] R. K. Pancholi and K. S. Swarup, "Particle swarm optimization for security constrained economic dispatch," in International Conference on Intelligent Sensing and Information Processing. (IEEE Cat. No.04EX783), Chennai, India, 2004, pp. 7-12.
[4] M. EL-Sharkawy and D.Nieebur, "Artificial Neural Networks with application to power systems," IEEE Power Engineering Society, A Tutorial course, 1996 1996.
[5] T. Yalcinoz and M. J. Short, "Neural networks approach for solving economic dispatch problem with transmission capacity constraints," IEEE Transactions on Power Systems, vol. 13, pp. 307-13, 1998.
[6] H. K. Youssef and K. M. El-Naggar, "Genetic based algorithm for security constrained power system economic dispatch," Electric Power Systems Research, vol. 53, pp. 47-51, 2000.
[7] Y.-S. Chen, "Outliers detection and confidence interval modification in fuzzy regression," Fuzzy Sets and Systems, vol. 119, pp. 259-272, 2001/4/16 2001.
[8] H. Tanaka, et al., "Fuzzy linear regression model," in Int. Congr. on Applied Systems Research and Cybernetics, Acapulco, Mexico, 1980, pp. 2933-2938.
[9] H. Tanaka, et al., "Linear regression analysis with fuzzy model," IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-12, pp. 903- 907, 1982/11/ 1982.
[10] T. Ross, Fuzzy Logic with Engineering Applications, 2nd ed.: John Wiley & Sons, Ltd, April 2005.
[11] H. Moskowitz and K. Kim, "On assessing the H value in fuzzy linear regression," Fuzzy Sets and Systems, vol. 58, pp. 303-327, 1993.
[12] D. C. Walters and G. B. Sheble, "Genetic algorithm solution of economic dispatch with valve point loading," Power Systems, IEEE Transactions on, vol. 8, pp. 1325-1332, 1993.
[13] N. Sinha, et al., "Evolutionary programming techniques for economic load dispatch," Evolutionary Computation, IEEE Transactions on, vol. 7, pp. 83-94, 2003.