Day-ahead distributed energy resource scheduling using differential search algorithm

J. Soares, C. Lobo, M. Silva, Z. Vale, Hugo Morais

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

Abstract

The number of dispersed energy resources is growing every day, such as the use of more distributed generators. This paper deals with energy resource scheduling model in future smart grids. The methodology can be used by virtual power players (VPPs) considering day-ahead time horizon. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. This paper presents an application of differential search algorithm (DSA) for solving the day-ahead scheduling. DSA method is used to minimize the operation costs for the VPP providing in satisfactory execution time. Two scenarios are presented using a 33-bus distribution network, large wind farm and several distributed energy resources to illustrate the proposed methodology. These scenarios consider a contingency on the large wind farm and different forecasts regarding load demand.
Original languageEnglish
Title of host publicationProceedings of 18th International Conference on Intelligent System Application to Power Systems
PublisherIEEE
Publication date2015
Pages1-6
ISBN (Print)9781509001910
DOIs
Publication statusPublished - 2015
Event18th International Conference on Intelligent System Application to Power Systems - Porto, Portugal
Duration: 11 Sep 201516 Sep 2015
Conference number: 18
http://isap2015.inesctec.eu/

Conference

Conference18th International Conference on Intelligent System Application to Power Systems
Number18
CountryPortugal
CityPorto
Period11/09/201516/09/2015
Internet address

Keywords

  • Computing and Processing
  • Power, Energy and Industry Applications
  • differential search algorithm
  • distributed energy resources
  • energy resource management
  • Generators
  • Load management
  • Optimization
  • Power generation
  • Scheduling
  • smart grid
  • virtual power player
  • Wind farms

Cite this

Soares, J., Lobo, C., Silva, M., Vale, Z., & Morais, H. (2015). Day-ahead distributed energy resource scheduling using differential search algorithm. In Proceedings of 18th International Conference on Intelligent System Application to Power Systems (pp. 1-6). IEEE. https://doi.org/10.1109/ISAP.2015.7325567