Comparison between Deterministic and Meta-heuristic Methods Applied to Ancillary Services Dispatch

被引：0

作者：

Vale, Zita A. ^{[1
]}

Ramos, Carlos ^{[1
]}

Faria, Pedro ^{[1
]}

Soares, Joao P. ^{[1
]}

Canizes, Bruno ^{[1
]}

Teixeira, Joaquim ^{[1
]}

Khodr, Hussein M. ^{[1
]}

机构：

[1] Inst Engn Polytech Porto ISEP IPP, GECAD Knowledge Engn & Decis Support Res Ctr, P-4200072 Oporto, Portugal

来源：

TRENDS IN APPLIED INTELLIGENT SYSTEMS, PT I, PROCEEDINGS | 2010年 / 6096卷

关键词：

Artificial Intelligence Techniques; Ancillary Services Dispatch; Electricity Markets; Evolutionary Particle Swarm Optimization; Genetic Algorithm; Linear Programming; PARTICLE SWARM OPTIMIZATION; UNIT COMMITMENT; SEARCH;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This impel proposes two meta-heuristics (Genetic Algorithm and Evolutionary Particle Swarm Optimization) for solving a 15 bid-based case of Ancillary Services Dispatch in an Electricity Market A Linear Programming approach is also included for comparison purposes A test case based on the dispatch of Regulation Down, Regulation Up. Spinnimi Reserve and Non-Spinning Reserve set vices is used to demonstrate that the use of meta-heuristics is suitable for solving this kind of optimization problem Faster execution times and lower computational resources requirement are the most relevant advantages of the used meta-heuristics when compared with the Linear Programming approach

引用

页码：731 / 741

页数：11

共 18 条

[1]

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[2]

BURADE PG, 2009, INT C CONTR AUT COMM

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