DocumentCode :
84480
Title :
Optimal distribution network reinforcement considering load growth, line loss, and reliability
Author :
Ziari, Iman ; Ledwich, Gerard ; Ghosh, A. ; Platt, Glenn
Author_Institution :
Sch. of Eng. Syst., Queensland Univ. of Technol., Brisbane, QLD, Australia
Volume :
28
Issue :
2
fYear :
2013
fDate :
May-13
Firstpage :
587
Lastpage :
597
Abstract :
A new comprehensive planning methodology is proposed for implementing distribution network reinforcement. The load growth, voltage profile, distribution line loss, and reliability are considered in this procedure. A time-segmentation technique is employed to reduce the computational load. Options considered range from supporting the load growth using the traditional approach of upgrading the conventional equipment in the distribution network, through to the use of dispatchable distributed generators (DDG). The objective function is composed of the construction cost, loss cost and reliability cost. As constraints, the bus voltages and the feeder currents should be maintained within the standard level. The DDG output power should not be less than a ratio of its rated power because of efficiency. A hybrid optimization method, called modified discrete particle swarm optimization, is employed to solve this nonlinear and discrete optimization problem. A comparison is performed between the optimized solution based on planning of capacitors along with tap-changing transformer and line upgrading and when DDGs are included in the optimization.
Keywords :
distributed power generation; particle swarm optimisation; power distribution planning; power distribution reliability; power generation dispatch; DDG; bus voltages; comprehensive planning methodology; construction cost; dispatchable distributed generators; distribution line loss; distribution network reinforcement; feeder currents; hybrid optimization method; load growth; loss cost; modified discrete particle swarm optimization; reliability cost; time-segmentation technique; voltage profile; Capacitors; Generators; Linear programming; Optimization; Planning; Power system reliability; Reliability; Distribution system; optimization method; reinforcement;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2012.2211626
Filename :
6374283
Link To Document :
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