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A market simulation model for long-term power system planning studies

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

A simulation model is developed to simulate the yearlong performance of an energy-only electricity market for long-term planning applications. The main simulation domain has been transformed from sequential time to probabilistic time (or time duration) keeping all the other pertinent details of an electricity market in tact. The details such as attributes of load, generating units/companies, transmission network are modelled using probabilistic techniques. The reduction of total yearlong simulation time, without loosing the accuracy of the significant long-term output quantities, is expected as the main advantage. An illustrative case study is given in the paper, modelling the National Electricity Market (NEM) of Australia using the proposed model. © 2008 IEEE.
Original languageEnglish
Title of host publicationIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES - Pittsburgh, PA, United States
Duration: 20 Jul 200824 Jul 2008

Publication series

NameIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES

Conference

ConferenceIEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES
PlaceUnited States
CityPittsburgh, PA
Period20/07/0824/07/08

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Electricity markets
  • Monte-Carlo methods
  • Power system planning
  • Probabilistic simulation

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