Economic optimal dispatching method of power microgrid under environmental uncertainties

Li Lanqing, Tomohiro Murata

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

1 Citation (Scopus)

Abstract

With the rapid growth of electric energy consumption and environmental concerns, renewable energy resources, power quality and reliability, has become the fields of interest for many researchers. By integrating renewable energy resources such as wind and solar power into a power microgrid (PMG), we can give consideration to both sides of environmental issue and energy independency. A PMG is a localized grouping of electricity generation units, energy storage devices and loads, within which, power can be generated locally to reduce dependence on long distance transmission lines and cut transmission losses. The point of coupling with traditional centralized grid can be disconnected, so that PMG can function autonomously to ensure high reliability in case of blackouts in traditional grid. But wind and solar power are easily affected by weather condition so that uncertainty has been introduced into this economic optimal dispatching (EOD) problem. To deal with power shortage or violation of technical limitations, a PMG model containing battery as an energy buffer is built and a chance-constrained programming (CCP) based particle swarm optimization (PSO) method is proposed in this paper to solve the economic optimal dispatching problem.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1036-1041
Number of pages6
ISBN (Electronic)9781467389853
DOIs
Publication statusPublished - 2016 Aug 31
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: 2016 Jul 102016 Jul 14

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
CountryJapan
CityKumamoto
Period16/7/1016/7/14

Keywords

  • Chance-constrained programming
  • Economic optimal dispatching
  • Particle swarm optimization
  • Power microgrid
  • Renewable energy
  • Uncertainty

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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