Dispatch of distributed energy resources to provide energy and reserve in smart grids using a particle swarm optimization approach

Pedro Faria, Tiago Soares, Tiago Pinto, Tiago M. Sousa, Joao Soares, Zita Vale, Hugo Morais

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The smart grid concept is a key issue in the future power systems, namely at the distribution level, with deep concerns in the operation and planning of these systems. Several advantages and benefits for both technical and economic operation of the power system and of the electricity markets are recognized. The increasing integration of demand response and distributed generation resources, all of them mostly with small scale distributed characteristics, leads to the need of aggregating entities such as Virtual Power Players. The operation business models become more complex in the context of smart grid operation. Computational intelligence methods can be used to give a suitable solution for the resources scheduling problem considering the time constraints. This paper proposes a methodology for a joint dispatch of demand response and distributed generation to provide energy and reserve by a virtual power player that operates a distribution network. The optimal schedule minimizes the operation costs and it is obtained using a particle swarm optimization approach, which is compared with a deterministic approach used as reference methodology. The proposed method is applied to a 33-bus distribution network with 32 medium voltage consumers and 66 distributed generation units.
Original languageEnglish
Title of host publication2013 IEEE Computational Intelligence Applications in Smart Grid
PublisherIEEE
Publication date2013
Pages51-58
ISBN (Print)9781467360029
DOIs
Publication statusPublished - 2013
Event2013 CIASG: 2013 IEEE Computational Intelligence Applications in Smart Grid - Grand Copthorne Waterfront Hotel, Singapore, Singapore
Duration: 15 Jan 201319 Apr 2013

Conference

Conference2013 CIASG
LocationGrand Copthorne Waterfront Hotel
Country/TerritorySingapore
CitySingapore
Period15/01/201319/04/2013

Keywords

  • particle swarm optimisation
  • power distribution planning
  • power generation dispatch
  • power generation scheduling
  • power markets
  • smart power grids
  • Bioengineering
  • Power, Energy and Industry Applications

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