Neural networks to improve distribution state estimation - Volt var control performances

IEEE Transactions on Smart Grid

Volumn 3, Issue 3, 2012, Pages 1137-1144

  Biserica, Monica ^d   Besanger, Yvon ^a   Caire, Raphael ^a   Chilard, Olivier ^b   Deschamps, Philippe ^c  

^a LABORATOIRE D ELECTROTECHNIQUE DE GRENOBLE   (France)

^b EDF R AND D   (France)

^c SCHNEIDER ELECTRIC   (France)

^d NONE

Author keywords

Distributed generation; distribution state estimator; neural network; power system control; smart grids; volt var control

Indexed keywords

ADDITIONAL LOADS; AUTOMATION FUNCTIONS; DISTRIBUTION STATE ESTIMATION; DISTRIBUTION SYSTEMS; ECONOMIC CONSTRAINTS; ESTIMATION FUNCTION; HISTORICAL DATABASE; INACCURATE INFORMATION; LOAD CURVES; LOAD MODELS; LOW VOLTAGES; NETWORK LOSS; POWER SYSTEM CONTROLS; PSEUDO MEASUREMENTS; REAL TIME; SMART GRID; STATE ESTIMATORS; TIME FRAME; TRANSMISSION SYSTEMS; VAR CONTROL; VIRTUAL MEASUREMENTS; VOLTAGE PROFILE;

DISTRIBUTED POWER GENERATION; LOCAL AREA NETWORKS; NEURAL NETWORKS; VALUE ENGINEERING;

STATE ESTIMATION;

EID: 84865446571     PISSN: 19493053     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSG.2012.2193673     Document Type: Article

References (32)

1. C. Kieny, B. Berseneff, N. Hadjsaid, Y. Besanger, and J. Maire, "On the concept and the interest of virtual power plant: Some results from the European project FENIX", in IEEE PES Gen. Meet., Calgary, AB, Canada, Jul. 26-30, 2009.
2. B. Enacheanu, B. Raison, R. Caire, O. Devaux, W. Bienia, and N. Hadj Said, "Radial network reconfiguration using genetic algorithm based on the matroid theory", IEEE Trans. Power Syst., vol. 23, no. 1, pp. 186-195, Feb. 2008. (Pubitemid 351292103)
3. F. R. Goodman, "Utility communications architecture-Objectmodels for distributed energy resources (UCA-DER)", 2003, Electricity Innovation Institute and Electric Power Research Institute, Inc..
4. F. C. Schweppe and J. Wildes, "Power system static-state estimation, Part I: Exact model", IEEE Trans. Power App. Syst., vol. PAS-89, pp. 120-125, Jan. 1970.
5. F. C. Schweppe and D. B. Rom, "Power system static-state estimation, Part II: Approximate model", IEEE Trans. Power App. Syst., vol. PAS-89, pp. 125-130, Jan. 1970.
6. F. C. Schweppe, "Power system static-state estimation, Part III: Implementation", IEEE Trans. Power App. Syst., vol. PAS-89, pp. 262-280, Jan. 1970.
7. J. Wan and K. N. Miu, "Weighted least squares methods for load estimation in distribution networks", IEEE Trans. Power Syst., vol. 18, no. 4, pp. 1338-1345, Nov. 2003.
8. K. Li, "State estimation for power distribution system and measurement impacts", IEEE Trans. Power Syst., vol. 11, no. 2, pp. 911-916, May 1996. (Pubitemid 126781235)
9. M. Almeida, D. Silveira, and M. F. de Medeiros, Jr., "Estimating loads in distribution feeders using a state estimator algorithm with additional adjustment of transformers loading factors", in Proc. IEEE Int. Symp. Circuits Syst., Bangkok, Thailand, Mar. 2003, vol. 5, pp. III 328-III 321.
10. O. Chilard, S. Grenard, O. Devaux, and L. Alvaro Garcia, "Distribution state estimation based on voltage state variables assessment of results and limitations", in Proc. 20th Int. Conf. Electr. Distrib. (CIRED), Prague, Czech Republic, Jun. 8-11, 2009, pp. 1-4.
11. D. Singh, J. P. Pandey, and D. S. Chauhan, "Radial basis neural network state estimation of electric power networks", in IEEE DRPT, 2nd Int. Conf. Electr. Util. Deregulation, Restructuring, Power Technol., Hong Kong, China, Apr. 5-8, 2004, vol. 1, pp. 90-95.
12. L. Ramesh, S. P. Chowdhury, S. Chowdhury, A. A. Natarajan, Y. H. Song, and K. Goswami, "Distributed state estimation technique for active distribution networks", in Proc. 42nd Int. Univ. Power Eng. Conf. (UPEC), Brighton, U. K., Sep. 4-6, 2007, pp. 861-866.
13. L. Ramesh, S. Chowdhury, S. P. Chowdhury, A. A. Natarajan, G. A. Taylor, and Y. H. Song, "Intelligent approach for distribution system load estimation", in Proc. IEEE Power Eng. Soc. Gen. Meet., Tampa, FL, Jun. 24-28, 2007, pp. 1-7.
14. A. Jain, R. Balasubramanian, S. C. Tripathy, B. N. Singh, and Y. Kawazoe, "Power system topological observability analysis using artificial neural networks", in Proc. IEEE Power Eng. Soc. Gen. Meet., San Francisco, CA, Jun. 12-16, 2005, vol. 1, pp. 497-502. (Pubitemid 41496966)
15. A. Abur and A. G. Exposito, Power System State Estimation. New York: Marcel Dekker, 2004.
16. S. Corsi, M. Pozzi, C. Sabelli, and A. Serrani, "The coordinated automatic voltage control of the Italian transmission Grid-Part I: Reasons of the choice and overview of the consolidated hierarchical system", IEEE Trans. Power Syst., vol. 19, no. 4, pp. 1733-1741, Nov. 2004.
17. D. Villacci, G. Bontempi, and A. Vaccaro, "An adaptive local learningbasedmethodology for voltage regulation in distribution networks with dispersed generation", IEEE Trans. Power Syst., vol. 21, no. 3, pp. 1131-1140, Aug. 2006. (Pubitemid 44263504)
18. J.-H. Choi and J.-C. Kim, "Advanced voltage regulation method of power distribution systems interconnected with dispersed storage and generation systems", IEEE Trans. Power Del., vol. 16, no. 2, pp. 329-334, Apr. 2001. (Pubitemid 32416336)
19. O. Richardot, A. Viciu, Y. Bésanger, N. Hadjsaïd, and C. Kieny, "Coordinated voltage control in distribution networks using distributed generation", in Proc. IEEE PES Transm. Distrib. Conf. Expo., Dallas, TX, May 21-24, 2006, pp. 1196-1201. (Pubitemid 46894501)
20. P. Chen, P. Siano, B. Bak-Jensen, and Z. Chen, "Stochastic optimization of wind turbine power factor using stochastic model of wind power", IEEE Trans. Sustainable Energy, vol. 1, no. 1, pp. 19-29, 2010.
21. P. Siano, P. Chen, Z. Chen, and A. Piccolo, "Evaluating maximum wind energy exploitation in active distribution networks", IET Gener. Transm. Distrib., vol. 4, no. 5, pp. 598-608, 2010.
22. C. Cecati, C. Citro, A. Piccolo, and P. Siano, "Smart operation of wind turbines and diesel generators according to economic criteria", IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4514-4525, Oct. 2011.
23. D. E. Rumelhaxt, G. E. Hinton, and R. J. Williaras, "Learning Intemal Representation by Error Propagation", in Parallel Distributed Processing, D. RumeIhart and L. L. McClelland, Eds. Cambridge, MA: MIT Press, 1986, ch. 8, pp. 318-362, e&..
24. Z. Liu, J. Chen, Y. Wang, and C. Song, "AnUKF and PSO-based neural network hybrid algorithm for attitude determination", in Proc. IEEE 4th Conf. Ind. Electron. Appl. (ICIEA), Xi'an, China, May 25-29, 2009, pp. 1231-1235.
25. S.-X. Yang, "Neural network forecast under the organic hybrid model of genetic algorithm and particle swarm algorithm", in Proc. Int. Conf. Wavelet Anal. Pattern Recog. (ICWAPR), Hong Kong, China, Aug. 30-31, 2008.
26. The MathWorks Inc., Matlab 7-0.4 2007 [Online]. Available: http://www.mathworks.com/products/matlab
27. B. Krose and P. van der Smagt, An Introduction to Neural Networks, 8th ed. Amsterdam, The Netherlands: Univ. Amsterdam Press, Nov. 1996.
28. J. E. Gentle, Random Number Generation and Monte Carlo Methods. New York: Springer, 2010.
29. R. Y. Rubinstein and D. P. Kroese, Simulation and the Monte Carlo Method. New York: Wiley, 1981.
30. M.-C. Alvarez-Herault, D. Picault, R. Caire, B. Raison, N. Hadj Said, and W. Bienia, "A novel hybrid network architecture to increase DG insertion in electrical distribution systems", IEEE Trans. Power Syst., vol. 26, no. 2, pp. 905-914, May 2011.
31. K. K. C. Yu and N. R. Watson, "An approximate method for transient state estimation", IEEE Trans. Power Del., vol. 22, no. 3, pp. 1680-1687, Jul. 2007.
32. S. Haykin, Neural Networks and Learning Machines: International Version: A Comprehensive Foundation, 3rd ed. New York: Pearson Education, 2008.