Optimum Allocation of Distributed Generation Based on Nodal Pricing for Profit and Social Welfare Maximization

Article Preview

Abstract:

This paper presents a method using nodal pricing for optimal allocating distribution generations (DG) for profit maximization, reduction of loss in distribution network along with social welfare maximization. Inclusion of distributed generation (DG) resources in power system changes the power flows and the magnitude of network losses at the distribution side. A detailed analysis has been simulated in MATLAB with 33 bus distribution system. The Genetic algorithm optimization is used in this work to find optimal location and size of DG in radial distribution system. Applying nodal pricing to a model distribution network, it shows significant price differences between buses reflecting high marginal losses and by finding optimal size of DG maximizes the profit of distribution companies that use DG in their networks for obtaining multiple benefits.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

364-370

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] G. Strbac, J. Mutale, and D. Pudjianto, Pricing of distribution networks with distributed generation, in InternationalConference on Future Power Systems, (2005).

DOI: 10.1109/fps.2005.204260

Google Scholar

[2] Griffin T, Tomsovic K, Secrest D, Law A. Placement of dispersed generation systems for reduced losses. In: Proceeding of IEEE 33rd annual Hawaii international conference on systems sciences; 2000. p.19.

DOI: 10.1109/hicss.2000.926773

Google Scholar

[3] Gandomkar M, Vakilian M, Ehsan M. A genetic-based tabu search algorithms for optimal DG allocation in distribution networks. Electr Power Compon Syst 2005; 33: 1351–62.

DOI: 10.1080/15325000590964254

Google Scholar

[4] Kim K-H, Lee Y-J, You S-K. Dispersed generation placement using fuzzy-GA in distribution systems. In: Proceeding of IEEE power engineering societysummer meeting, vol. 3; 2002. p.1148–53.

Google Scholar

[5] Singh RK, Goswami SK. Optimum siting and sizing of distributed generations in radial and networked systems. Electr Power Compon Syst 2009; 37(2): 127–45.

DOI: 10.1080/15325000802388633

Google Scholar

[6] Gautam Durga, Mithulananthan N. Optimal DG placement in deregulated electricity market. Electr Power Syst Res 2007; 77(2): 1627–36.

DOI: 10.1016/j.epsr.2006.11.014

Google Scholar

[7] Mohammad Nikkhah Mojdehi, Xiaohua Xia, Jiangfeng Zhang , Maximization of Social Welfare in Distribution Network with Distributed Generations using Genetic Algorithm in 2011 8th International Conference on the European Energy Market (EEM) • 25-27 May 2011 • Zagreb, Croatia.

DOI: 10.1109/eem.2011.5953065

Google Scholar

[8] Wang Caisheng, Hashem Nehrir M. Analytical approaches for optimal placement of distributed generation sources in power systems. IEEE Trans Power Syst 2004; 19(4): 2068–76.

DOI: 10.1109/tpwrs.2004.836189

Google Scholar

[9] R.K. Singh , S.K. Goswami, Optimum allocation of distributed generations based on nodal pricing for profit, loss reduction, and voltage improvement including voltage rise issue, Electrical Power and Energy Systems 32 (2010) 637–644.

DOI: 10.1016/j.ijepes.2009.11.021

Google Scholar

[10] Mohammad Nikkhah Mojdehi, Ahad kazemi, and Masoud Brati network operation and reconfiguration to maximize social welfare withDistributed generationsIn 978-1-4244-3861-7/09/$25. 00 ©2009 IEEE.

DOI: 10.1109/eurcon.2009.5167686

Google Scholar