Emission constrained bid based dynamic economic dispatch using quadratic programming

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

In this work, a variant of the Dynamic Economic Dispatch (DED) problem is presented. This variant is under a deregulated environment and is termed the Bid Based Dynamic Economic Dispatch (BBDED). Customers give bids on the amount of power they are willing to buy and suppliers simultaneously give bids on how much they are willing to supply. This is done over a trading scheduling period and the Independent System Operator (ISO) seeks to maximize its profit and optimally schedule power flow whilst respecting system constraints. In this paper, the BBDED formulation has an emission constraint factored with the resulting model solved using the Advanced Interactive Multidimensional Modelling System (AIMMS) under different scenarios with encouraging results.

Original languageEnglish
Title of host publication2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages213-216
Number of pages4
ISBN (Electronic)9781538618868
DOIs
Publication statusPublished - 19 Jun 2018
Event2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 - Chennai, India
Duration: 1 Aug 20172 Aug 2017

Publication series

Name2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017

Conference

Conference2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017
Country/TerritoryIndia
CityChennai
Period1/08/172/08/17

Keywords

  • Deregulated market
  • Dynamic economic dispatch
  • Emission constraint
  • Independent system operator

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Computer Science Applications
  • Signal Processing

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