TY - GEN

T1 - Development of a generation resource scheduling case library

AU - Liao, Yuan

PY - 2006

Y1 - 2006

N2 - Large scale generation resource scheduling optimization problem is usually very hard to solve due to its combinatorial nature. Various algorithms such as Lagrangian relaxation based algorithm, Benders algorithm, and genetic algorithms have been proposed in the past to tackle this problem. One challenge facing researchers is how to determine which algorithm to use and how to test and compare the performance of various algorithms. To explore and propose new algorithms, benchmarking of the performance of existing algorithms is essential, since advantages and disadvantages of each algorithm can be better understood through extensive case studies. To carry out such studies, a systematic way based on a comprehensive case library is necessary. This paper describes an approach for building a case library that can be used for testing various resource scheduling algorithms. The implementation details including the development environment and special considerations are presented.

AB - Large scale generation resource scheduling optimization problem is usually very hard to solve due to its combinatorial nature. Various algorithms such as Lagrangian relaxation based algorithm, Benders algorithm, and genetic algorithms have been proposed in the past to tackle this problem. One challenge facing researchers is how to determine which algorithm to use and how to test and compare the performance of various algorithms. To explore and propose new algorithms, benchmarking of the performance of existing algorithms is essential, since advantages and disadvantages of each algorithm can be better understood through extensive case studies. To carry out such studies, a systematic way based on a comprehensive case library is necessary. This paper describes an approach for building a case library that can be used for testing various resource scheduling algorithms. The implementation details including the development environment and special considerations are presented.

KW - Benchmarking

KW - Case library

KW - Large scale resource scheduling

KW - Unit commitment

UR - http://www.scopus.com/inward/record.url?scp=33749639053&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33749639053&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33749639053

SN - 0780394577

SN - 9780780394575

T3 - Proceedings of the Annual Southeastern Symposium on System Theory

SP - 487

EP - 491

BT - Proceedings of the 38th Southeastern Symposium on System Theory

T2 - 38th Southeastern Symposium on System Theory

Y2 - 5 March 2006 through 7 March 2006

ER -