A distributed optimal power dispatch control approach for environment-friendly power grids

Dinh Hoa Nguyen, Tatsuo Narikiyo, Michihiro Kawanishi

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

2 Citations (Scopus)

Abstract

This paper aims at proposing a distributed control approach for optimal power dispatch towards environment-friendly power grids. In order to do so, both electric generation and pollutant emission costs are properly incorporated into a unique objective function of an optimization problem subjected to physical constraints of the considered power system. 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 in a power system 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 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages258-263
Number of pages6
ISBN (Electronic)9784907764500
DOIs
Publication statusPublished - Nov 18 2016
Externally publishedYes
Event55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016 - Tsukuba, Japan
Duration: Sep 20 2016Sep 23 2016

Publication series

Name2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016

Other

Other55th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2016
CountryJapan
CityTsukuba
Period9/20/169/23/16

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Instrumentation
  • Control and Systems Engineering

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