Multi Objective Optimization Placement of DG Problem for Different Load Levels on Distribution Systems with Purpose Reduction Loss, Cost and Improving Voltage Profile Based on DAPSO Algorithm
Subject Areas : journal of Artificial Intelligence in Electrical Engineering
Keywords: distributed generation, DAPSO Algorithm, Distribution network,
Abstract :
Along with economic growth of countries which leads to their increased energy requirements,the problem of power quality and reliability of the networks have been more considered andin recent decades, we witnessed a noticeable growing trend of distributed generation sources(DG) in distribution networks. Occurrence of DG in distribution systems, in addition tochanging the utilization of these systems, has provided the opportunity for these companies tobe able to design systems with lower costs. In this paper, the problem of placement andcapacity determination of DG were carried out using multiple methods. The main objectivesof issue were improving the voltage profile, losses reduction and reduce the cost of operationthat were carried out based on an economic function. Using the multiple methods to improvesome purposes and utilization of weighting coefficients provided an appropriate plan.DAPSO algorithm was used for optimization and various experiments carried out on realnetwork.
[1] Y.G. Hegazy, M.M.A. Salama, and A.Y.
Chikhani, “Adequacy assessment distributed
generation system using Mont carlo simulation,”
IEEE Transactions on Power system, vol.18, no.1,
2003, pp.48-52
[2] C. Wang and M. H. Nehrir:” Analytical
Approaches for Optimal Placement of Distributed
Generation Sources in Power Systems”, IEEE
trans. on Power Sys., Vol. 19, No. 4, november
2004.
[3] H. Hedayati, S. A. Nabaviniaki, and A.
Akbarimajd,: “A Method for Placement of DG
Units in Distribution Networks”, IEEE trans. on
Power Delivery, Vol. 23, No. 3, July 2008.
[4] W. El-Khattam, Y. G. Hegazy and M. M. A.
Salama, “An Integrated DistributedGeneration
Optimization Model for Distribution System
Planning”, IEEE trans. On Power Sys., Vol. 20, No.
2, may 2005.
[5]. Prakomchai Phonrattanasak Department of
Electrical Engineering North Eastern University
Khonkaen, Thailand 40000" Optimal Placement of
DG Using Multiobjective particle Swarm
Optimization ".IEEE , Mechanical and Electrical
Technology (ICMET) , 2nd international
conference , 2010 , pp.342 - 346 .
[6]. T. Sutthibun and P. Bhasaputra Department of
Electrical and Computer Engineering Faculty of
Engineering Thammasat University, Patumthani
12120, Thailand " Multi-Objective Optimal
Distributed Generation Placement Using Simulated
Annealing". Electrical Engineering / Electronics
Computer Telecommunications and Information
Technology (ECTI – CON) , international
conference , 2010 , 810 – 813 .
[7] M.H. Moradi , M. Abedini, “A combination of
genetic algorithm and particle swarm optimization
for optimal DG location and sizing in distribution
systems” Electrical Power and Energy Systems 34
(2012) 66–74
[8] Fahad S. Abu-Mouti, M. E. El-Hawary
“Optimal Distributed GeneratioAllocation and
Sizing in Distribution Systems via Artificial Bee
Colony Algorithm” IEEE Trans. Power, VOL. 26,
NO. 4 OCTOBER 2011 , pp. 2090-2101