An Efficient Method for Optimal Placement and Sizing of Multiple Distributed Generators in a Radial Distribution Systems

Authors

  • Injeti Satish Kumar Sir CR Reddy College of Engineering, Eluru, West Godavari Dist., Andhra Pradesh, India-534007
  • Prema Kumar Navuri Dept. of Electrical Engineering at Andhra University, Visakhapatnam, Andhra Pradesh, India-530003

DOI:

https://doi.org/10.13052/dgaej2156-3306.2733

Keywords:

Distributed Generator, loss sensitivity factors, loss reduction, optimal sizing, optimal placement, voltage stability index

Abstract

This article presents a simple and efficient approach for the placement of multiple Distributed Generators (DG) in a radial distribution
system. The approach determines the optimal locations and size of DGs
with the objective of improving the voltage profile and loss reduction.
Loss sensitivity factors (LSF) are used to select the candidate locations for
the multiple DG placements and Simulated Annealing (SA) is used to estimate the optimal size of DGs at the optimal locations determined. The
proposed method is applied to the 33bus and 69bus radial distribution
systems. The solutions obtained by the proposed method are compared
with other existing methods. The proposed method has outperformed
the other methods in terms of the quality of solution.

Downloads

Download data is not yet available.

Author Biographies

Injeti Satish Kumar, Sir CR Reddy College of Engineering, Eluru, West Godavari Dist., Andhra Pradesh, India-534007

Injeti Satish Kumar is an Associate Professor in the Dept. of E.E.E.
at Sir CR Reddy College of Engineering, Eluru, West Godavari Dist.,
Andhra Pradesh, India-534007. He can be reached at Satishinjeti@gmail.
com.

Prema Kumar Navuri, Dept. of Electrical Engineering at Andhra University, Visakhapatnam, Andhra Pradesh, India-530003

Prema Kumar Navuri in an Associate Professor in the Dept. of
Electrical Engineering at Andhra University, Visakhapatnam, Andhra
Pradesh, India-530003. He can be reached at Prem_navuri@yahoo.co.in

References

Song YH, Wang GS, Johns AT, Wang PY. Distribution Network Reconfiguration

for Loss Reduction using Fuzzy Controlled Evolutionary Programming. IEE

Proc. Gene. Trans. Distr., 1997; 144: 345-350.

Federico JV, Gonzalez, Lira C. Learning classifiers shape reactive power to

decrease losses in power distribution networks. In Proc. IEEE Power Eng. Soc.

General Meet. 2005; 1:557–562.

IEA, Distributed Generation in Liberalized Electricity Markets. Paris, France:

OECD, 2002.Available:http://iea.org/textbase/nppdf/free/2000/distributed2002.

pdf

Andrew K, Mark OM. Optimal Allocation of Embedded Generation on Distribution Networks. IEEE Trans. Power Systems 2005; 20:1640 – 1646.

EI-Khatan W, Salaam MMA. Distributed generation technologies, definitions

and benefits. Electric Power System Research 2004; 71:119-128.

Hejaz YG, Salaam MMA, Chicano AY. Adequacy Assessment of Distributed

Generation Systems using Monte Carlo Simulation. IEEE Trans. On Power Systems 2003; 18: 48–52.

Griffin T, Osmotic K, Secrets D, Low A. Placement of dispersed generations

systems for reduced losses,” in Proc. IEEE 33rd Annul. Hawaii Int. Conf. Syst.

Sciences (HICSS) 2000: 1446–1454.

Wang C, Nehrir MH. Analytical Approaches for Optimal Placement of Distributed Generation sources in Power Systems” IEEE Trans. on Power Systems

; 19:4.

Gandomkar M, Vakilian M, Ehsan M. A Genetic–Based Tabu-Search Algorithm

for Optimal DG Allocation in Distribution Networks. Elec. Power. Comp. and

Sys. 2005; 33:1351-1362.

Hedayati H, Nabaviniaki SA, Akbarimajd A. Method for Placement of DG Units

in Distribution Networks. IEEE Trans. on Power Delivery 2008; 23:1620-1628.

Naresh A, Pukar M, Mithulananthan N. An analytical approach for DG allocation in primary distribution network. Electrical Power and Energy Systems 2006;

: 669–678.

Kim KH, Lee YJ, Rhee SB, Lee SK, You SK. Dispersed generator placement

using fuzzy-GA in distribution systems. Proc. IEEE Power Engineering Society

Summer Meeting 2002; 3:1148–1153.

El-Khattan W, Bhattacharya K, Hegazy Y, Salama M M A. Optimal investment

planning for distributed generation in a competitive electricity market. IEEE

Trans. Power Syst. 2005: 20: 1718–1727.

Abu-Mouti FS, El-Hawary ME. Heuristic curve-fitted technique for distributed

generation optimization in radial distribution feeder systems. IET Gene. Trans.

Distr., 2011p; 5: 172–180.

Borges, CLT, Falcaõ DM. Optimal distributed generation allocation for reliability, losses, and voltage improvement. Int. J. Elect. Power & Energy Syst., 2006; 28:

–420.

Harrison GP, Wallace AR. Optimal power flow evaluation of distribution

network capacity for the connection of distributed generation. IEE Proc. Gen.

Trans. and Dist., 2005; 152: 115-122.

Gözel, T, Hocaoglu M H. An analytical method for the sizing and siting of distributed generators in radial systems. Elect. Power Syst. Res., 2009; 79: 912–918.

Elnashar, MM, El-Shatshat R, Salama MMA. Optimum siting and sizing of a

large distributed generator in a mesh connected system. Elect. Power Syst. Res.,

; 80: 690–697.

El-ela A, Allam S, Shatla M. Maximal optimal benefits of distributed generation

using genetic algorithms. Elect. Power Syst. Res. 2010; 8: 869–877.

Singh, RK, Goswami SK. Optimum siting and sizing of distributed generations

in radial and networked systems. Elect. Power Compon. Syst. 2009; 37; 127–145.

Bulac C, Ionescu F, Roscia M. Optimal Distributed Generation Location and Sizing using Genetic Algorithms. DOI: 10.1109/ICHQP.2010.5625451.

Padma LM, Veera Reddy VC, Sivarami Reddy N, Usha Reddy N. DG Source

Allocation by Fuzzy and Clonal Selection Algorithm for Minimum Loss in

Distribution System. Distributed Generation & Alternative Energy Journal, 2011; 26:

-35.

R.D. Zimmerman, C.E. Murillo and D. Gan, MATPOWER A MATLAB Power

System Simulation Package, Available at: www.pserc.cornell.edu/matpower.html

Hung DQ, Mithulananthan N, Bansal RC. Analytical Expressions for DG Allocation in Primary Distribution Networks. IEEE Transactions on Energy Conversion, 2010; 25: 814-820.

Prommee W, Ongsakul W. Optimal Multi-Distributed Generation Placement

by Adaptive Weight Particle Swarm Optimization. International Conference on

Control, Automation and Systems 2008, Oct. 14-17, COEX, Seoul, Korea.

Roa-Sepulveda CA, Pavez-Lazo BJ. A Solution to the Optimal Power flow using

simulated annealing. Electrical Power and Energy System, 2003; 25: 47-57.

Jeon YJ, Kim JC, Kim JO, Shin JR, Lee KY. An efficient simulated annealing

algorithm for network reconfiguration in large-scale distribution systems. IEEE

Trans. Power Del., 2002; 17: 1070 -1078.

Satyanarayana S, Ramana T, Sivanagaraju S, Rao GK. An efficient load flow solution for radial distribution network including voltage dependent load models.

Electric Power Component Systems 2007; 3:539-551.

Baran ME, Wu FF. Network reconfiguration in distribution systems for loss

reduction and load balancing. IEEE Trans. Power Del 1989; 4:1401–1407.

Nagaraju K, Sivanagaraju S, Ramana T, Satyanarayana S, Prasad PV. A Novel

Method for Optimal Distributed Generator Placement in Radial Distribution

Systems. Distributed Generation & Alternative Energy Journal 2010; 26:7-19

Published

2012-06-27

How to Cite

Kumar, I. S. ., & Navuri, P. K. . (2012). An Efficient Method for Optimal Placement and Sizing of Multiple Distributed Generators in a Radial Distribution Systems. Distributed Generation &Amp; Alternative Energy Journal, 27(3), 52–71. https://doi.org/10.13052/dgaej2156-3306.2733

Issue

Section

Articles