Simulated annealing with local search - A hybrid algorithm for unit commitment

被引：89

作者：

Purushothama, GK ^{[1
]}

Jenkins, L

机构：

[1] Malnad Coll Engn, Dept Elect Engn, Hassan, Karnataka, India

[2] Indian Inst Sci, Dept Elect Engn, Bangalore 560012, Karnataka, India

来源：

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

关键词：

generation scheduling; local search; optimization techniques; simulated annealing; unit commitment;

D O I：

10.1109/TPWRS.2002.807069

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：

A hybrid algorithm has been developed for the solution of the unit commitment problem. This hybrid technique uses simulated annealing as the main algorithm. At each temperature, fresh solutions are generated randomly, and with a high likelihood of being feasible. Local search is made in the neighborhood of the best solution, using a heuristic decommitment technique. The hybrid algorithm is robust and has improved convergence, compared with earlier algorithms. The results obtained in system studies indicate its potential for solving the unit commitment problem.

引用

页码：273 / 278

页数：6

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