Application of GAMS and GA in the Location and Penetration of Distributed Generation

Distributed Generation (DG) can help in reducing the
cost of electricity to the costumer, relieve network congestion and
provide environmentally friendly energy close to load centers. Its
capacity is also scalable and it provides voltage support at distribution
level. Hence, DG placement and penetration level is an important
problem for both the utility and DG owner. DG allocation and capacity
determination is a nonlinear optimization problem. The objective
function of this problem is the minimization of the total loss of the
distribution system. Also high levels of penetration of DG are a new
challenge for traditional electric power systems. This paper presents a
new methodology for the optimal placement of DG and penetration
level of DG in distribution system based on General Algebraic
Modeling System (GAMS) and Genetic Algorithm (GA).

• Alireza Dehghani Pilehvarani
• Mojtaba Hakimzadeh
• Mohammad Jafari Far
• Reza Sedaghati

• Distributed Generation
• Location
• Loss Reduction
• Distribution Network
• GA
• GAMS.

[1] H.L. Willis and W.G. Scott, “Distributed Power Generation Planning and
Evaluation”, Marcel Dekker, Inc, New York, 2000.
[2] T. Ackermann, G. Andersson and L. Soder, “Distributed generation: a
definition”, Electric Power Systems Research Vol. 57, No.3, pp.195–204,
2001.
[3] Y.H. Song and X.F. Wang , “Operation of Market-oriented Power
Systems”, Spinger-Verlag London Limited, 2003.
[4] L. L. Lai, “Power System Restructuring and Deregulation”, John Wiley &
Sons, UK, 2001.
[5] J. A. Momoh, Yan Xia, and G. D. Boswell, “An approach to determine
distributed generation benefits in power networks,” in 40th NA Power
Symposium, 2008, pp. 1 – 7.
[6] N. Acharya, P. Mahat, and N. Mithulananthan, “An analytical approach
for DG allocation in primary distribution network,” Int. J. Electr. Power
Energy Syst., vol. 28, no. 10, pp. 669-678, 2006.
[7] M. P. Lalitha, N.S. Reddy, and V. V. Reddy, “Optimal DG placement for
maximum loss reduction in radial distribution system using ABC
Algorithm,” Int J Rev. Comp. pp. 44-52, 2009.
[8] C. Wang, and M. H. Nehrir, “Analytical approaches for optimal
placement of distributed generation sources in power systems,” IEEE
Trans. Power Systems, vol. 19, no. 4, pp. 2068-2076, 2004.
[9] H. L. Willis and W. G. Scott, Distributed Power Generation. Planning
and Evaluation, 1st ed. New York: Marcel Dekker, 2000.
[10] V. H.Méndez, J. Rivier, and T. Gómez, “Regulatory treatment of energy
losses in the Spanish electricity market,” in Proc. 7as Jornadas Hispano-
Lusas de Ingeniería Eléctrica, Madrid, Spain, 2001. In Spanish.
[11] L. Söder, “Estimation of reduced electrical distribution losses depending
on dispersed small scale energy production,” in Proc. 12th Power Systems
Computation Conf., Zurich, Switzerland, 1996.
[12] J. Mutale, G. Strbac, S. Curcic, and N. Jenkins, “Allocation of losses in
distribution systems with embedded generation,” Proc. Inst. Elect. Eng.,
Gener., Transm., Distrib., vol. 147, no. 1, pp. 7–14, Jan. 2000.
[13] P. M. Costa and M. A. Matos, “Loss allocation in distribution networks
with embedded generation,” IEEE Trans. Power Syst., vol. 19, no. 1,
pp.384–389, Feb. 2004.