Skip to main navigation Skip to search Skip to main content

A performance comparison of probabilistic techniques for electricity market simulation

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

Abstract

This paper compares the performances of two probabilistic techniques, namely (i) two-point estimate (2PE) method and (ii) Monte Carlo (MC) method, when modelling the uncertainties in market simulation. The demand, bid price, and capacity offer quantities are modelled as uncertain variables. A generalized zonal market model has been analysed with relaxed generation and network representation. A simplified version of National Electricity Market (NEM) of Australia has been studied and results are discussed. ©2009 IEEE.
Original languageEnglish
Title of host publication2009 IEEE Power and Energy Society General Meeting, PES '09
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE Power and Energy Society General Meeting, PES '09 - Calgary, AB, Canada
Duration: 26 Jul 200930 Jul 2009

Publication series

Name2009 IEEE Power and Energy Society General Meeting, PES '09

Conference

Conference2009 IEEE Power and Energy Society General Meeting, PES '09
PlaceCanada
CityCalgary, AB
Period26/07/0930/07/09

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
  • Probabilistic simulation
  • Two-point estimate method

Fingerprint

Dive into the research topics of 'A performance comparison of probabilistic techniques for electricity market simulation'. Together they form a unique fingerprint.

Cite this