An evolutionary programming solution to the unit commitment problem

被引：389

作者：

Juste, KA ^{[1
]}

Kita, H ^{[1
]}

Tanaka, E ^{[1
]}

Hasegawa, J ^{[1
]}

机构：

[1] Hokkaido Univ, Div Syst & Informat Engn, Sapporo, Hokkaido, Japan

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 1999年 / 14卷 / 04期

关键词：

unit commitment; evolutionary programming;

D O I：

10.1109/59.801925

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：

The present work was conducted with the aim of finding a general method for solving the Unit Commitment (UC) problem. The proposed algorithm employs the Evolutionary Programming (EP) technique in which populations of contending solutions are evolved through random changes, competition, and selection. In the subject algorithm an overall UC schedule is coded as a string of symbols and viewed as a candidate for reproduction Initial populations of such candidates are randomly produced to form the basis of subsequent generations. The practical implementation of this procedure yielded satisfactory results when the EP-based algorithm was tested on a reported UC problem previously addressed by some existing techniques such as Lagrange Relaxation (LR), Dynamic Programming (DP), and Genetic Algorithms (GAs). Numerical results for systems of up to 100 units are given and commented on.

引用

页码：1452 / 1459

页数：8

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