A Strategy to Solve the Multistage Transmission Expansion Planning Problem

被引：50
|
作者：
Vinasco, Guillermo [1 ]
Rider, Marcos J. [2 ]
Romero, Ruben [2 ]
机构：
[1] Univ Antioquia & Interconex Elect SA ISA, Programa Ingn Elect, Medellin, Colombia
[2] UNESP, Dept Elect Engn, Fac Engn Ilha Solteira, Ilha Solteira, SP, Brazil
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2011年 / 26卷 / 04期
基金：
巴西圣保罗研究基金会;
关键词：
Combinatorial optimization; mixed binary linear programming problem; multistage transmission expansion planning;
D O I：
10.1109/TPWRS.2011.2126291
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this letter, a heuristic to reduce the combinatorial search space (CSS) of the multistage transmission expansion planning (MTEP) problem is presented. The aim is to solve the MTEP modeled like a mixed binary linear programming (MBLP) problem using a commercial solver with a low computational time. The heuristic uses the solution of several static transmission expansion planning problems to obtain the reduced CSS. Results using some test and real systems show that the use of the reduced CSS solves the MTEP problem with better solutions compared to other strategies in the literature.
引用
收藏
页码：2574 / 2576
页数：3
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