CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Optimal Planning of Distributed Generation for Improved Voltage Stability and Loss Reduction

by S. Kumar Injeti, Dr. Navuri P Kumar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 15 - Number 1
Year of Publication: 2011
Authors: S. Kumar Injeti, Dr. Navuri P Kumar
10.5120/1910-2545

S. Kumar Injeti, Dr. Navuri P Kumar . Optimal Planning of Distributed Generation for Improved Voltage Stability and Loss Reduction. International Journal of Computer Applications. 15, 1 ( February 2011), 40-46. DOI=10.5120/1910-2545

@article{ 10.5120/1910-2545,
author = { S. Kumar Injeti, Dr. Navuri P Kumar },
title = { Optimal Planning of Distributed Generation for Improved Voltage Stability and Loss Reduction },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 15 },
number = { 1 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume15/number1/1910-2545/ },
doi = { 10.5120/1910-2545 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:03:04.248451+05:30
%A S. Kumar Injeti
%A Dr. Navuri P Kumar
%T Optimal Planning of Distributed Generation for Improved Voltage Stability and Loss Reduction
%J International Journal of Computer Applications
%@ 0975-8887
%V 15
%N 1
%P 40-46
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The impending deregulated environment facing the electric utilities in the twenty first century is both a challenge and an opportunity for a variety of technologies and operating scenarios. Changing regulatory and economic scenarios, energy savings and environmental impacts are providing impetus to the development of an Active Distribution Networks (ADN), which is predicated to play an increasing role in the electric power system in the near future. Connecting Distributed Generator (DG) to a passive distribution network becomes an active distribution network. Distributed Generators effectively reduce the real power losses and improve the voltage profile in Radial Distribution Networks (RDN). In this paper planning and operation of active distribution networks, with respect to placement and sizing of Distributed Generators are discussed with the help of a new methodology. DG unit placement and sizing were calculated using fuzzy logic and new analytical method respectively. A detailed performance analysis was carried out on 12-bus, 33-bus and 69-bus radial distribution networks to demonstrate the effectiveness of the proposed methodology. The obtained results are presented in graphical manner.

References
  1. Chowdhury S, Chowdhury SP, Crossley P.2009. Micro grids and Active Distribution Networks. 1st ed. London. IET Renewable Energy Series.
  2. Willis H. L, 2000. Analytical methods and rules of thumb for modeling DG distribution interaction. IEEE Proc. PES summer meeting, vol.3, pp. 1643-1644.
  3. Wang C, and Nehrir MH. 2004. Analytical approach for optimal placement of distributed generation sources in power systems. IEEE Trans. PWRS, 19(4), pp. 2068-2076.
  4. Griffin T, Tomosovic K, Secrest D, and Law A. 2000 Placement of Dispersed Generation systems for reduced losses. In proceedings of 33rd Annual Hawaii International conference on systems sciences, Maui, Hawaii , pp. 1-9.
  5. Mardanesh M, and Gharehpattan GB. 2004. Siting and sizing of DG units using GA and OPF based technique. IEEE Region 10 Conference, 3: 331-34.
  6. Tripathy SC, Prasad GD, Malik OP, and Hope GS. 1982. Load flow solutions for Ill-conditioned power systems by a Newton-like method, IEEE Trans Power Ap Syst PAS-101 pp.3648-3657, D.O.I: 10.1049/ip-c: 19800043.
  7. Tinney WG and Hart CE. 1967. Power flow solutions by Newton’s method. IEEE Trans Power Ap Syst PAS-86; 1449-1457.
  8. Zhang F and Cheng CS. 1997.A modified Newton method for radial distribution system power flow analysis. IEEE Trans Power Syst 12 ; 389-397.
  9. Teng JH. 2002. A modified Gauss-Seidel algorithm of three-phase power flow analysis in distribution networks. Electric Power and Energy Systems 24; 97-102.
  10. Shirmohammadi D, Hong HW, Semlyen A and Luo GX. 1988. A compensation-based power flow method for weakly meshed distribution and transmission networks. IEEE Trans Power Syst 3, 753-762.
  11. Thukaram D, Banda HMW and Jerome J. 1999. A Robust three-phase power flow algorithm for radial distribution systems. Electric Power System Research 50, 227-236.
  12. Ranjan R, Venkatesh B, Chaturvedi A and Das D. 2004. Power flow solution of three-phase unbalanced radial distribution network. Electric Power Component Systems 32; 421-433.
  13. Teng JH. 2003. A direct approach for distribution system load flow solutions. IEEE Trans Power Deliver 18; 882-887.
  14. Kersting WH. 2002. Distribution system modeling and analysis, CRC Press, Boca Raton, FL.
  15. Cespedes R G. 1990. New method for the analysis of distribution networks. IEEE Trans Power Deliver 5; 391-396.
  16. Haque MH. 1996. Load flow solution of distribution systems with voltage dependent load models. Electric Power System Research 36; 151-156.
  17. Eminoglu U and Hocaoglu MH. 2005. A new power flow method for radial distribution systems including voltage dependent load models. Electric Power System Research; 106-114.
  18. Luo GX and Semlyen A. 1990. An Efficient load flow for large weakly meshed networks. IEEE Trans Power Syst, 1309_1316.
  19. Rajicic D, Ackovski R and Taleski R. 1994. Voltage correction power flow. IEEE Trans Power Delivery 9; 1056-1062.
  20. Fuzzy Logic Toolbox – MATLAB User’s Guide, Math works Inc.
  21. Kashem MA, Ganapathy V, Jasmon GB and Buhari M, 2000. A novel method for loss minimization in distribution networks. Proc. Int. Con. Electr. Util. Deregulation Restruct. Power Technol, April, 251-256.
  22. Baran ME and Wu FF. 1989 Optimal sizing of capacitor placement on radial distribution system. IEEE Transactions on Power Delivery; 4: 735-43.
Index Terms

Computer Science
Information Sciences

Keywords

distributed generation radial distribution network sizing placement fuzzy voltage stability

Powered by PhDFocusTM