DocumentCode :
1200333
Title :
Planning of secondary distribution circuits through evolutionary algorithms
Author :
Cossi, Antônio Marcos ; Romero, Rubén ; Mantovani, José Roberto Sanches
Author_Institution :
Dept. of Electr. Eng., Univ. Estadual Paulista, Ilha Solteira, Brazil
Volume :
20
Issue :
1
fYear :
2005
Firstpage :
205
Lastpage :
213
Abstract :
In this work, the planning of secondary distribution circuits is approached as a mixed integer nonlinear programming problem (MINLP). In order to solve this problem, a dedicated evolutionary algorithm (EA) is proposed. This algorithm uses a codification scheme, genetic operators, and control parameters, projected and managed to consider the specific characteristics of the secondary network planning. The codification scheme maps the possible solutions that satisfy the requirements in order to obtain an effective and low-cost projected system-the conductors´ adequate dimensioning, load balancing among phases, and the transformer placed at the center of the secondary system loads. An effective algorithm for three-phase power flow is used as an auxiliary methodology of the EA for the calculation of the fitness function proposed for solutions of each topology. Results for two secondary distribution circuits are presented, whereas one presents radial topology and the other a weakly meshed topology.
Keywords :
evolutionary computation; integer programming; load flow; nonlinear programming; power distribution planning; codification scheme map; electric energy distribution system; evolutionary algorithm; genetic operator; mixed integer nonlinear programming problem; power flow; radial topology; secondary distribution circuit; secondary network planning; Circuit topology; Conductors; Costs; Evolutionary computation; Investments; Load flow; Load management; Reactive power; Voltage; Wires; Electric energy distribution system; evolutionary algorithms; power flow; secondary circuits;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2004.839229
Filename :
1375096
Link To Document :
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