An Efficient Method for Optimal Placement and Sizing of Multiple Distributed Generators in a Radial Distribution Systems
DOI:
https://doi.org/10.13052/dgaej2156-3306.2733Keywords:
Distributed Generator, loss sensitivity factors, loss reduction, optimal sizing, optimal placement, voltage stability indexAbstract
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.
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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.
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