Preview

Optimum Arrangement of Reactive Power Sources While Using Genetic Algori

Abstract

Reduction of total losses in distribution electricity supply network is considered as an important measure which serves for improvement of efficiency of electric power supply systems. This objective can be achieved by optimum distribution of reactive power sources in proper places of distribution electricity supply network. The proposed methodology is based on application of a genetic algorithm. Total expenses for installation of capacitor banks, their operation and also expenses related to electric power losses are considered as an efficiency function which is used for determination of places with optimum values of capacitor bank power. The methodology is the most efficient for selection of optimum places in the network where it is necessary to install capacitor banks with due account of their power control depending on a switched-on load value in the units.

About the Authors

A. M. Gashimov
Institute of Physics, National Academy of Sciences of Azerbaijan
Azerbaijan


R. N. Rakhmanov
Azerbaijan Scientific-Research and Design-Prospecting Power Engineering Institute
Azerbaijan


S. T. Rakhmanov
Azerbaijan Scientific-Research and Design-Prospecting Power Engineering Institute
Azerbaijan


References

1. Автоматизация диспетчерского управления в электроэнергетике / под общ. ред. Ю. Н. Руденко, В. А. Совалова. – М. : Изд-во МЭИ, 2000. – 648 с.

2. Железко, Ю. С. Компенсация реактивной мощности и повышение качества электроэнергии / Ю. С. Железко. – М. : Энергоатомиздат, 1985 – 592 с.

3. Baran, M. E. Optimal capacitor placement on radial distribution systems / M. E. Baran, F. F. Wu // IEEE Trans. Power Delivery. – Vol. 4, January 1989. – Р. 725–734.

4. Poknavaiko, M. Optimal choice of fixed and switched capacitors on radial distribution feeders by the method of local variations / M. Poknavaiko, Rao K. Prakasa // IEEE Trans. Power apparatus and systems. – Vol. 102, January 1983. – Р. 1607–1615.

5. Chis, M. Capacitor placement in distribution system using heuristic search strategies / M. Chis, M. Salama, S. Jayaram // IEEE Proceedings generation, Transmission, Distribution. – Vol. 144, May 1997. – Р. 225–230.

6. Optimal capacitor placements in distribution systems / H. D. Chiang [et al.] // IEEE Trans. Power Delivery. – Vol. 5, April 1990. – P. 634–649.

7. Tan, O. T. Neural-net based real-time control of capacitor installed on distribution systems / O. T. Tan, N. I. Santoso. – 1990. – Vol. 5, No 1. – P. 266–272.

8. Chin, H. C. Optimal shunt capacitor allocation by fuzzy dynamic programming / H. C. Chin. – 1995. – Vol. 35. – P. 133–139.

9. Exposito, A. G. A reduced-size genetic algorithm for optimal capacitor placement on distribution feeders / A. G. Exposito, J. L. Ramos, J. R. Santos. – 2004.

10. Capacitor page-study case editor. ETAP 5.5.6 User Guide. – Vol. II.


Review

For citations:


Gashimov A.M., Rakhmanov R.N., Rakhmanov S.T. Optimum Arrangement of Reactive Power Sources While Using Genetic Algori. ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations. 2010;(1):18-25. (In Russ.)

Views: 763


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1029-7448 (Print)
ISSN 2414-0341 (Online)