Enhanced Decomposition Based Evolutionary Algorithm for Solving Unit Commitment problem in Uncertain Environment

被引：0

作者：

Pal, Kunal ^{[1
]}

Trivedi, Anupam ^{[2
]}

Srinivasan, Dipti ^{[2
]}

Reindl, Thomas ^{[3
]}

机构：

[1] Rhein Westfal TH Aachen, Dept Elect Commun & Informat Sci, Aachen, Germany

[2] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore

[3] Solar Energy Res Inst Singapore, Singapore 117574, Singapore

来源：

PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) | 2016年

关键词：

Decomposition; Unit Commitment; Multi-objective optimization; Genetic Algorithm; GENETIC ALGORITHM; DIFFERENTIAL EVOLUTION; OPTIMIZATION ALGORITHM;

D O I：

暂无

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 paper, a modified decomposition based evolutionary algorithm (DBEA) has been proposed to solve the unit commitment (UC) problem in uncertain environment as a multi objective optimization problem considering cost, emission, and reliability as the multiple objectives. The uncertainties occurring due to thermal generator outage and load forecast error are incorporated using expected energy not served (EENS) reliability index. Further, a neighborhood based recombination approach has been incorporated to enhance the performance of DBEA. Experimental results are presented on two different test systems to demonstrate the effectiveness of the proposed approach.

引用

页码：2198 / 2201

页数：4

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