Finding improved local minima of power system optimization problems by interior-point methods

被引：18

作者：

Santos, JR ^{[1
]}

Lora, AT ^{[1
]}

Expósito, AG ^{[1
]}

Ramos, JLM ^{[1
]}

机构：

[1] Univ Seville, Dept Elect Engn, Seville 41092, Spain

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2003年 / 18卷 / 01期

关键词：

genetic algorithms (GAs); global optimization; interior point algorithms; nonconvex mixed-integer optimization;

D O I：

10.1109/TPWRS.2002.807097

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：

This paper presents a simple heuristic technique to deal with multiple local minima in nonconvex, nonlinear power system optimization problems by solving a sequence of interior-point subproblems. Both the real-valued and the mixed-integer cases are separately discussed. The method is then applied to the unit commitment problem and its performance on realistic cases is compared with that of a genetic algorithm (GA).

引用

页码：238 / 244

页数：7

共 15 条

[1] Optimal response of a thermal unit to an electricity spot market [J].