Microgrid generation planning considering renewable energy target

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13 Citations (Scopus)

Abstract

Low carbon economy calls for an increasing penetration of renewable energy in power systems. In this paper, we develop a theoretical framework to study the optimal planning for a microgrid system, considering the renewable energy target. We model the renewable energy target as a planning and operational constraint. Then we develop a two-stage stochastic programming problem to minimize the overall cost of the microgrid. In Stage-1, the microgrid planner determines the optimal investment in renewable energy generations, e.g., from solar energy and wind energy. In Stage-2, the microgrid operator coordinates the energy supply and demand to minimize the daily operational cost. With realistic data, we numerically show the optimal investment in the capacities of solar energy and wind energy with respect to the renewable energy target. We also show the optimal power supply from renewable generation and the main grid.

Original languageEnglish
Title of host publicationPECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding
EditorsZulhani Rasin, Raja Nor Firdaus Kashfi Raja Othman, Mohd Rodhi Sahid
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages356-360
Number of pages5
ISBN (Electronic)9781509025473, 9781509025466
ISBN (Print)9781509025480
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventIEEE International Conference on Power and Energy 2016 - Melaka, Malaysia
Duration: 28 Nov 201629 Nov 2016
Conference number: 6th
https://site.ieee.org/pecon2016/
https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/7945564/proceeding (Proceedings)

Conference

ConferenceIEEE International Conference on Power and Energy 2016
Abbreviated titlePECON 2016
Country/TerritoryMalaysia
CityMelaka
Period28/11/1629/11/16
Internet address

Keywords

  • Capacity planning
  • Daily operation
  • Demand response
  • Microgrid
  • Renewable energy target
  • Smart grid
  • Solar energy
  • Stochastic programming
  • Wind energy

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