CFP last date
20 May 2024
Reseach Article

AI Applications to Distribution System with Distributed Generation

by P.N.Hrisheekesha, Jaydev Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 14
Year of Publication: 2010
Authors: P.N.Hrisheekesha, Jaydev Sharma
10.5120/304-470

P.N.Hrisheekesha, Jaydev Sharma . AI Applications to Distribution System with Distributed Generation. International Journal of Computer Applications. 1, 14 ( February 2010), 38-42. DOI=10.5120/304-470

@article{ 10.5120/304-470,
author = { P.N.Hrisheekesha, Jaydev Sharma },
title = { AI Applications to Distribution System with Distributed Generation },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 14 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 38-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number14/304-470/ },
doi = { 10.5120/304-470 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:46:32.186645+05:30
%A P.N.Hrisheekesha
%A Jaydev Sharma
%T AI Applications to Distribution System with Distributed Generation
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 14
%P 38-42
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, Artificial Neural Network, one of the Artificial Intelligence (AI) techniques, for the Volt / Var control in power distribution systems with dispersed generation (DG) is proposed. Artificial neural networks have been considered due to their ability for real time control, simpler calculations and adaptability to different operating conditions. Neuro-controllers are much more effective, fast acting than conventional controllers. Neural network for controlling Step voltage regulator (SVR) with line rise compensation (LRC) /line drop compensation (LDC) function has been presented. The neural network based controller has been simulated for a radial distribution system with DG and the neuro-controller shows promising results after testing.

References
  1. Masters C.L.,”Voltage rise: the big issue when connecting embedded generation to long 11kV overhead lines”, Power engineering Journal, IEE, Vol.16, No.1, pp.5-12, 2002
  2. A.E. Kiprakis and A.R Wallace, “Maximizing energy capture from distributed generators in weak networks”, IEE Proceedings on Generation Transmission Distribution, Vol.151, No.5, pp.611-618, September 2004
  3. “IEEE standard for interconnecting distributed resources with electric power systems” IEEE standard, 1547TM -2003
  4. Khoan Tran and Mohammad Vaziri, “Effects of dispersed generation on distribution systems”, IEEE conference,2005
  5. Rajshekaran S.,”Neural networks, fuzzy logic and genetic algorithms: synthesis and applications” Prentice-Hall of India, 2004
  6. Turan Gonen,”Electric power distribution system engineering” McGraw-Hill, 1986
  7. T.E. Kim and J.E.Kim, “Voltage regulation coordination of distributed generation system in distribution system”, IEEE conference, pp.480-484, 2001
  8. Joon-Ho Choi and Jae-Chul Kim, “Advanced voltage regulation method at the power distribution systems interconnected with dispersed storage and generation systems”, IEEE transactions on Power Delivery, Vol.15, No.2,pp.691-696, April 2000
  9. Tae-Eung Kim and Jae- Eon Kim,” Considerations for the feasible operating range of distributed generation interconnected to power distribution system”, IEEE Conference, pp.42-48, 2002
  10. Nigel C.Scott, David J.Atkinson and James E.Morrell,”Use of load control to regulate voltage on distribution networks with embedded generation”, IEEE transactions on Power Systems, Vol.17, No.2, pp.510-515, May 2002
  11. T. Niknam, A.M. Ranjbar and A.R. Shirani, “Impact of distributed generation on Volt/ Var control in distribution Networks” IEEE Bologna Power Tech Conference, Italy, June 23-26, 2003
  12. N.Iwan Santoso and Owen T.Tan,”Neural-Net Based Real –time control of capacitors installed on distribution systems” IEEE Transactions on Power Delivery, Vol.5, No.1,January 1990
  13. Yuan-Yih Hsu and Feng-Chang Lu,” A Combined artificial neural network-fuzzy dynamic programming approach to reactive power/ voltage control in a distribution substation” IEEE transactions on Power Systems, Vol.13, No.4, November 1998,pp.1265-1271
  14. K.S. Swaroop and P.S. Subhash,” Neural network approach to voltage and reactive power control in power systems” IEEE conference, pp.228-233, 2005
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence Artificial neural network Dispersed generation Distribution system Line drop compensation Line rise compensation Step Voltage regulator Voltage / Reactive power control Line rise compensation Step Voltage regulator Voltage / Reactive power control