Optimal placement and sizing of distributed generator units using genetic optimization algorithms

• Autorzy: Haesens E. , Espinoza M. , Pluymers B. , Goethals I. , Thong V. V. , Driesen J. , Belmanss R. , Moor B. de
• Języki publikacji: EN

Abstrakty

EN

In this article the authors describe how genetic optimization algorithms can be used to find the optimal size and location of distributed generation units in a residential distribution grid. Power losses are minimized while the voltage profile is kept at an acceptable level. The method is applied on a system based on an existing grid topology with production and residential load data based on measurements. Different scenarios are chosen to run the algorithm. The obtained optimal location and size prove to depend strongly on the given conditions.

Słowa kluczowe

EN

distributed generation; optimization methods; microgrid

• Wydawca: AGH University of Science and Technology ; Lodz University of Technology
• Czasopismo: Electrical Power Quality and Utilisation. Journal
• Rocznik: 2005
• Tom: Vol. 11, nr 1
• Strony: 97--104
• Opis fizyczny: bibliogr. 14 poz.

Twórcy

autor

Haesens E.

• K.U. Leuven, ESAT-ELECTA

autor

Espinoza M.

• K.U. Leuven, ESAT-SCD-SISTA

autor

Pluymers B.

• K.U. Leuven, ESAT-SCD-SISTA

autor

Goethals I.

• K.U. Leuven, ESAT-SCD-SISTA

autor

Thong V. V.

• K.U. Leuven, ESAT-ELECTA

autor

Driesen J.

• K.U. Leuven, ESAT-ELECTA

autor

Belmanss R.

• K.U. Leuven, ESAT-ELECTA

autor

Moor B. de

• K.U. Leuven, ESAT-SCD-SISTA

Bibliografia

• 1. Anis Ibrahim W. and Morcos M.: Artificial Intelligence and Advanced Mathematical Tools for Power Quality Applications: A Survey. IEEE Transactions on Power Delivery, 17, 2, 668-673, 2002.
• 2. Borges C. L . T., DjaIma M. FaIcao . : Planning and Operation of Distribution Systems in the Presenee of Dispersed Generation. CIGRE Symposiurn, Athens, Greece, April 2005.
• 3. Dagoumas A., Lettas N., Papagiannis G., Dokopoulos P., Zafirakis A., Fachouridis S., Manolisaridis K.: Maximizing distributed generation capacity of small hydro plants in a distribution network. CIGRE Symposium, Athens, Greece, April 2005.
• 4. Furong L., PiIgrim J., Dabecdin C., Cheebo A ., and Aggarwal R.: Genetic Algorithms for Optimal Reactive Power Compensation on the National Grid System. IEEE Transactions on Power Systems, 20, I, 493-500, 2005.
• 5. GoIdberg D.: Genetic Algorithms in Optimization and Machine Learning. Addison Wesley, New York, 1989.
• 6. HoIIand J.: Adaptation in Natural and Artifieial Systems. University of Michigan Press, Ann Arbor, 1975.
• 7. IEEE Task Force on Load Representation for Dynarnic Performance, Load Representation for Dynamie Perjormance Analysis. IEEE Transactions on Power Systems, 8, 2, May 1993.
• 8. Lasseter R. H . : MicroGrids. IEEE Power Engineering Society Winter Meeting, 1,27-31,2002.
• 9. Lasseter R. H ., Paigi P.: MicroGrid: A Conceptual Solution . IEEE 35th A nnua I Power Electronics Specialists Conference (P ESC), 6, 20-25, 2004.
• 10. Masoum M.A.S., Ladjevardi M., Jafarian A., Fuchs E.: Optimal Placement, replacement and Sizing of Capacitor Banks in Distorted Distribution Networks by Genetic Algorithms. IEEE Transactions on Power Delivery, 19, 4, October 2004.
• 11. Nara K., Hayashi Y., Ikeda K, Ahizawa T. :Application of Tabu Search to Optimal Placem elit of Distributed Generators. IEEE Power Engineering Soeiety Winter Meeting, 2001. 2, 918-923, Fcb. 2001
• 12. Rosehart W., Nowicki E.: Optimal Placement of Distributed Generation. 14th Power Systems Computation Conference (PSCC), Sevilla, June 2002.
• 13. Sundhararajan S. and Pahwa A. : Optima! Selection of Capacitors for Radiol Distributions Systems using Genetic Algorithms. IEEE Transaetions on Power Systems, 9, 3, 1499-1507, 1994.
• 14.Tristiu I., Eremia M., Bulac C., Toma L.: Optimal Location of Dispersed Generators for Reliability Improvement of Distribulion Networks. CIGRE Symposium, Athens, Greece, April 2005.