DocumentCode :
3091646
Title :
Heuristic Algorithm to Solve the Short Term Transmission Network Expansion Planning
Author :
Rider, Marcos J. ; Gallego, Luis A. ; Romero, Rubén ; García, Ariovaldo V.
Author_Institution :
Dept. of Electr. Energy Syst., State Univ. of Campinas, Campinas
fYear :
2007
fDate :
24-28 June 2007
Firstpage :
1
Lastpage :
7
Abstract :
In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion in the search space. In order to find a solution of excellent quality for this problem, a constructive heuristic algorithm is presented in this paper. In each step of the algorithm, a sensitivity index is used to add a circuit (transmission line or transformer) or a capacitor bank (fixed or variable) to the system. This sensitivity index is obtained solving the problem considering the numbers of circuits and capacitors banks to be added (relaxed problem), as continuous variables. The relaxed problem is a large and complex nonlinear programming and was solved through a higher order interior point method. The paper shows results of several tests that were performed using three well-known electric energy systems in order to show the possibility and the advantages of using the AC model.
Keywords :
integer programming; nonlinear programming; power capacitors; power transmission planning; search problems; AC model; capacitor bank; electric systems; heuristic algorithm; higher order interior point method; mixed integer nonlinear programming problem; search space; sensitivity index; short term transmission network expansion planning; Capacitors; Distributed parameter circuits; Heuristic algorithms; Mathematical model; Power system planning; Power transmission lines; Process planning; Propagation losses; Reactive power; Stability analysis; AC model; Transmission network expansion planning; constructive heuristic algorithms; mixed integer nonlinear programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
ISSN :
1932-5517
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2007.385441
Filename :
4275323
Link To Document :
بازگشت