CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Analysis on Techno-Economic Benefits of a Strategically Placed Distributed Generator in a Radial Distribution System

by S. Rama Krishna, Injeti S. Kumar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 10
Year of Publication: 2012
Authors: S. Rama Krishna, Injeti S. Kumar
10.5120/9585-4064

S. Rama Krishna, Injeti S. Kumar . Analysis on Techno-Economic Benefits of a Strategically Placed Distributed Generator in a Radial Distribution System. International Journal of Computer Applications. 59, 10 ( December 2012), 26-34. DOI=10.5120/9585-4064

@article{ 10.5120/9585-4064,
author = { S. Rama Krishna, Injeti S. Kumar },
title = { Analysis on Techno-Economic Benefits of a Strategically Placed Distributed Generator in a Radial Distribution System },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 10 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number10/9585-4064/ },
doi = { 10.5120/9585-4064 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:03:50.452352+05:30
%A S. Rama Krishna
%A Injeti S. Kumar
%T Analysis on Techno-Economic Benefits of a Strategically Placed Distributed Generator in a Radial Distribution System
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 10
%P 26-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Integration of alternative sources of energy into a network for distributed generation (DG) requires small-scale power generation technologies located close to the loads served. The move toward on-site distributed power generation has been accelerated because of deregulation and restructuring of the utility industry and the feasibility of alternative energy sources. DG technologies can improve power quality, boost system reliability, reduce energy costs, and defray utility capital investment. This paper presents techno economic analysis of optimally located and sized various DG technologies in a radial distribution system. The impact of DG on the system voltage profile and line losses is also evaluated. This has been accomplished by two parts, part one examine technical benefits of integration of a DG unit to different buses of distribution system and varying DG unit size in a 30 bus radial distribution system. Part two examine the implementation viability of the project; a detailed financial evaluation has been carried out for various DG technologies which are available in the market for commercial use. The results show that there is significant improvement in voltage profile, reduction in line loss and consequently the utility can gain financial benefits when DG is incorporated into the system.

References
  1. Y H Song, G S Wang, A T Johns, PY Wang. Distribution Network Reconfiguration for Loss Reduction using Fuzzy Controlled Evolutionary Programming. IEE Proc. Gene. Trans. Dist. , 1997; 144: 345-350.
  2. YG Hejaz, MMA Salaam, AY Chicano. Adequacy Assessment of Distributed Generation Systems using Monte Carlo Simulation. IEEE Trans. On Power Systems 2003; 18: 48–52.
  3. W EI-Khatan, MMA Salaam. Distributed generation technologies, definitions and benefits. Electric Power System Research 2004; 71:119-128.
  4. A Poullikkas. Implementation of distributed generation technologies in isolated power systems. Renewable and Sustainable energy 2007; 11:30-56.
  5. T Griffin, K Osmotic, D Secrets, A Low. Placement of dispersed generation systems for reduced losses. In Proc. IEEE 33rd Annul. Hawaii Int. Conf. Syst. Sciences (HICSS) 2000; 1446 -1454.
  6. P Chiradeja. Benefit of distributed generation: a line loss reduction analysis. T&D Conference and Exhibition: Asia and Pacific 2005; 3:1401-1407.
  7. SS Pati, PK Modi. Loss minimization of distribution system using distributed generation. Cogeneration and Distributed Generation 2009; 24: 23-47.
  8. GP Harrison, AR Wallace. Optimal power flow evaluation of distribution network capacity for the connection of distributed generation. IEE Proc. Gen. Trans. and Dist. , 2005; 152: 115-122.
  9. A Silvestri, A Berizzi, S Buonanno. Distributed generation planning using genetic algorithms. In Proceedings of IEEE International Conference on Electric Power Engineering, Power Tech. , Budapest 1999; 99.
  10. W EI-Khatan, K Bhattacharya, Y Hegazy, MMA Salaam. Optimal investment planning for distributed generation in a competitive electricity market. IEEE Tans. On Power Systems 2004; 19: 1674-1684.
  11. Jeo-Hao, Teng, Yi-Hwa, Liu, Chia-Yen, Chi-Fa Chen. Value based distributed generation placements for service quality improvements. Electrical Power and Energy Systems 2007; 29: 268-274.
  12. W Rosehart, E Nowicki. Optimal placement of distributed generation. In 14th Power Systems Computation Conference 2002; 11: 1-5.
  13. BA Desouza, JMC De Albuquerque. Optimal placement of distributed generators in network using evolutionary programming. In proc. Of Trans. And Dist. Conference, Latin America, IEEE/PES 2006: 1-6.
  14. DQ Hung, N Mithulanathan, RC Bansal. Analytical expressions for DG allocation in primary distribution networks. IEEE Trans. on Energy Conversion 2010; 25: 814-820.
  15. H Hedayati, SA Nabaviniaki, A Akbarimajd. A method for placement of DG units in distribution networks. IEEE Transactions on Power Delivery 2008; 23:1620-28.
  16. Net Present Analysis. http://en. wikipedia. org/wiki/Net_present_value
  17. IEEE Application Guide for IEEE Std. 1547, IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems (2008).
  18. N Jenkins, R Allan, P Crossley, D Kirschen, G Strbac. Embedded generation. IEE Power and Energy. Series 31. London; 2000.
  19. AGL. Comparison of large central and small decentralized power generation in India. Golden, CO: Antres Group Ltd. And NREL; 1997.
  20. EIA. Energy Information Administration. U. S Department of energy. Annual Energy Outlook; 2002.
  21. J Gregory, S Silveira, A Derrick, P Cowley, C Allinson, O Paish. Financing Renewable Energy Projects: A Guide for Development workers. Intermediate Technology Publications. London; 1997.
  22. Morris, Ellen. Analyses of Renewable Energy retrofit Options to Existing Diesel Mini Grids. APEC. Singapore; 1998.
  23. EM Petrie, HL Willis, M Takahashi. Distributed Power Generation in Developing Countries. 2002. Available on www. worldbank. org/html/fpd/em/distribution-abb. pdf.
  24. N Ravindranath, DO Hall. Biomass Energy and the Environment: A Developing Country Perspective from India. Oxford University Press, oxford; 1995.
  25. UN. Energy Issues and Options for Developing Countries: Taylor and Francis. New York; 1989.
  26. K Qian, C Zhou, Y Yuan, X Shi, M Allan. Analysis of the Environmental Benefits of Distributed Generation. IEEE Power and Energy Society Meeting- Conversion and Delivery of electrical energy in the 21st century 2008; 1-5.
  27. D Weisser. A guide to life-cycle greenhouse gas (GHG) emissions from electric supply technologies Energy 2007; 32:19; 1543– 1559.
  28. IEA. CO2 Emissions from Fuel Combustion Highlights, IEA Statistics, 2011 edition. Available on www. iea. org/co2highlights.
Index Terms

Computer Science
Information Sciences

Keywords

Distributed generation emission optimum location and sizing techno-economic analysis

Powered by PhDFocusTM