Dynamic environmental economic dispatch: A distributed solution based on an alternating direction method of multipliers

Dinh Hoa Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper proposes a distributed control approach for optimal power dispatch towards environment-friendly power grids. To do so, an optimization problem called environmental economic dispatch, which is subjected to physical constraints of the considered power system, is solved. Consequently, we propose an approach based on the Alternating Direction Method of Multipliers (ADMM) to obtain the globally optimal solution of that optimization problem in a distributed manner under a fast convergence. As a result, each generation unit can derive by itself an optimal generated power that minimizes with compromising both fuel and emission costs while satisfying both global and local physical constraints caused by the whole system and by its own. The most distinguished feature of this approach is that the power balance constraint is always guaranteed during the execution of the algorithm. Finally, the performance of our proposed approach is illustrated through the simulation to a realistic power system and the comparison with another method.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Sustainable Energy Technologies, ICSET 2016
PublisherIEEE Computer Society
Pages1-6
Number of pages6
ISBN (Electronic)9781509052004
DOIs
Publication statusPublished - Jan 9 2017
Externally publishedYes
Event4th IEEE International Conference on Sustainable Energy Technologies, ICSET 2016 - Hanoi, Viet Nam
Duration: Nov 14 2016Nov 16 2016

Publication series

NameIEEE International Conference on Sustainable Energy Technologies, ICSET
Volume0
ISSN (Print)2165-4387
ISSN (Electronic)2165-4395

Other

Other4th IEEE International Conference on Sustainable Energy Technologies, ICSET 2016
Country/TerritoryViet Nam
CityHanoi
Period11/14/1611/16/16

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

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