An evolutionary generation scheduling in an open electricity market

K. Dahal, T. Siewierski, S.J. Galloway, G.M. Burt, J.R. McDonald

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

The classical generation scheduling problem defines on/off decisions (commitment) and dispatch level of all available generators in a power system for each scheduling period. In recent years researchers have focused on developing new approaches to solve non-classical generation scheduling problems in the newly deregulated and decentralized electricity market place. In this paper a CA based approach has been developed for a system operator to schedule generation in a market akin to that operating in England and Wales. A generation scheduling problem has been formulated and solved using available trading information at the time of dispatch. The solution is updated after new information is obtained in a rolling fashion. The approach is tested for two IEEE network based problems, and achieves comparable results with a Branch and Bound technique in reasonable CPU time
LanguageEnglish
Pages1134-1142
Number of pages9
DOIs
Publication statusPublished - Jun 2004
EventCongress on Evolutionary Computation (CEC 2004) - Portland, United States
Duration: 19 Jun 200423 Jun 2004

Conference

ConferenceCongress on Evolutionary Computation (CEC 2004)
CountryUnited States
CityPortland
Period19/06/0423/06/04

Fingerprint

Scheduling
Program processors
Power markets

Keywords

  • evolutionary
  • generation scheduling
  • open
  • electricity market
  • unit commitment
  • dispatch
  • genetic algorithm

Cite this

Dahal, K., Siewierski, T., Galloway, S. J., Burt, G. M., & McDonald, J. R. (2004). An evolutionary generation scheduling in an open electricity market. 1134-1142. Paper presented at Congress on Evolutionary Computation (CEC 2004) , Portland, United States. https://doi.org/10.1109/CEC.2004.1330989
Dahal, K. ; Siewierski, T. ; Galloway, S.J. ; Burt, G.M. ; McDonald, J.R. / An evolutionary generation scheduling in an open electricity market. Paper presented at Congress on Evolutionary Computation (CEC 2004) , Portland, United States.9 p.
@conference{f28391a7ad4e411cad0443ffa946ff8f,
title = "An evolutionary generation scheduling in an open electricity market",
abstract = "The classical generation scheduling problem defines on/off decisions (commitment) and dispatch level of all available generators in a power system for each scheduling period. In recent years researchers have focused on developing new approaches to solve non-classical generation scheduling problems in the newly deregulated and decentralized electricity market place. In this paper a CA based approach has been developed for a system operator to schedule generation in a market akin to that operating in England and Wales. A generation scheduling problem has been formulated and solved using available trading information at the time of dispatch. The solution is updated after new information is obtained in a rolling fashion. The approach is tested for two IEEE network based problems, and achieves comparable results with a Branch and Bound technique in reasonable CPU time",
keywords = "evolutionary, generation scheduling, open, electricity market, unit commitment, dispatch , genetic algorithm",
author = "K. Dahal and T. Siewierski and S.J. Galloway and G.M. Burt and J.R. McDonald",
year = "2004",
month = "6",
doi = "10.1109/CEC.2004.1330989",
language = "English",
pages = "1134--1142",
note = "Congress on Evolutionary Computation (CEC 2004) ; Conference date: 19-06-2004 Through 23-06-2004",

}

Dahal, K, Siewierski, T, Galloway, SJ, Burt, GM & McDonald, JR 2004, 'An evolutionary generation scheduling in an open electricity market' Paper presented at Congress on Evolutionary Computation (CEC 2004) , Portland, United States, 19/06/04 - 23/06/04, pp. 1134-1142. https://doi.org/10.1109/CEC.2004.1330989

An evolutionary generation scheduling in an open electricity market. / Dahal, K.; Siewierski, T.; Galloway, S.J.; Burt, G.M.; McDonald, J.R.

2004. 1134-1142 Paper presented at Congress on Evolutionary Computation (CEC 2004) , Portland, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - An evolutionary generation scheduling in an open electricity market

AU - Dahal, K.

AU - Siewierski, T.

AU - Galloway, S.J.

AU - Burt, G.M.

AU - McDonald, J.R.

PY - 2004/6

Y1 - 2004/6

N2 - The classical generation scheduling problem defines on/off decisions (commitment) and dispatch level of all available generators in a power system for each scheduling period. In recent years researchers have focused on developing new approaches to solve non-classical generation scheduling problems in the newly deregulated and decentralized electricity market place. In this paper a CA based approach has been developed for a system operator to schedule generation in a market akin to that operating in England and Wales. A generation scheduling problem has been formulated and solved using available trading information at the time of dispatch. The solution is updated after new information is obtained in a rolling fashion. The approach is tested for two IEEE network based problems, and achieves comparable results with a Branch and Bound technique in reasonable CPU time

AB - The classical generation scheduling problem defines on/off decisions (commitment) and dispatch level of all available generators in a power system for each scheduling period. In recent years researchers have focused on developing new approaches to solve non-classical generation scheduling problems in the newly deregulated and decentralized electricity market place. In this paper a CA based approach has been developed for a system operator to schedule generation in a market akin to that operating in England and Wales. A generation scheduling problem has been formulated and solved using available trading information at the time of dispatch. The solution is updated after new information is obtained in a rolling fashion. The approach is tested for two IEEE network based problems, and achieves comparable results with a Branch and Bound technique in reasonable CPU time

KW - evolutionary

KW - generation scheduling

KW - open

KW - electricity market

KW - unit commitment

KW - dispatch

KW - genetic algorithm

U2 - 10.1109/CEC.2004.1330989

DO - 10.1109/CEC.2004.1330989

M3 - Paper

SP - 1134

EP - 1142

ER -

Dahal K, Siewierski T, Galloway SJ, Burt GM, McDonald JR. An evolutionary generation scheduling in an open electricity market. 2004. Paper presented at Congress on Evolutionary Computation (CEC 2004) , Portland, United States. https://doi.org/10.1109/CEC.2004.1330989