Fast evolutionary programming techniques for short-term hydrothermal scheduling

被引：150

作者：

Sinha, N ^{[1
]}

Chakrabarti, R ^{[1
]}

Chattopadhyay, PK ^{[1
]}

机构：

[1] Jadavpur Univ, Dept Elect Engn, Kolkata 700032, W Bengal, India

来源：

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

关键词：

Cauchy mutation; classical evolutionary programming; fast evolutionary programming; Gaussian mutation; hydrothermal scheduling;

D O I：

10.1109/TPWRS.2002.807053

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：

Fast evolutionary programming techniques are applied for the solution of a short-term hydrothermal scheduling problem. Evolutionary programming (EP)-based algorithms with Gaussian and other mutation techniques have been developed and tested on a multireservoir cascaded hydroelectric system having prohibited operating zones and a thermal unit with valve point loading. Numerical results show that all of the EP algorithms are capable of finding very nearly global solutions within a reasonable time but an EP algorithm with better of Gaussian and Cauchy mutations appears to be the best amongst all EPs in terms of convergence speed, solution time, and minimum cost.

引用

页码：214 / 220

页数：7

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