Optimal Dispatch for EGH-IES Considering Demand Response and Energy Storage

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The integrated energy system (IES) is an important development direction of future energy. Realizing the optimal dispatch of the integrated energy system is beneficial to improve its economic and environmental benefits. Aiming at the problem of insufficient consumption of renewable energy such as wind power, this paper proposes an optimization dispatch model of combining CHP unit and wind power generation. Coordinated constraints such as the uncertainty modeling of wind power in source side, the modeling of multi-energy flow of regional electricity in grid side, the comprehensive demand response on the load side, and the electrical heating of the storage side are included. Therefore, the optimization dispatch model proposed will optimize the output and load curve of each unit to increase the grid-connected wind power consumption and reduce the system load shedding level. In addition, this model aims to minimize the operating cost of the system, integrating 'source-network-load-storage' constraints, and calling Gurobi to solve it. Finally, the analysis results of specific calculation examples prove that this model can effectively promote wind power consumption and reduce system operation costs.

Original languageEnglish
Title of host publication2020 4th International Conference on HVDC, HVDC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1201-1206
Number of pages6
ISBN (Electronic)9781728175935
DOIs
StatePublished - 6 Nov 2020
Event4th International Conference on HVDC, HVDC 2020 - Xi'an, China
Duration: 6 Nov 20209 Nov 2020

Publication series

Name2020 4th International Conference on HVDC, HVDC 2020

Conference

Conference4th International Conference on HVDC, HVDC 2020
Country/TerritoryChina
CityXi'an
Period6/11/209/11/20

Keywords

  • 'generation-grid-load-storage'
  • demand response
  • EGH-IES
  • multi-energy flow
  • wind power uncertainty

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