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A Study on the Joint Operation Model of DGW Renewable Energy Base Based on HVDC Transmission System

  • Yuankang He
  • , Xingyu Liu
  • , Tao Ding
  • , Bo Yuan
  • , Biyuan Zhang
  • , Yan Liu
  • State Grid Corporation of China
  • School of Electrical Engineering

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

Abstract

Large-scale renewable energy bases in desert-gobi-wasteland (DGW) regions generally exhibit a high degree of operational independence while being required to maintain stable power delivery to external grids, which endows them with inherent advantages in joint operation. This paper proposes a joint operation model for DGW renewable energy bases supported by HVDC transmission systems. Under this model, all generation stations within the base jointly participate in market operations, and a mixed-integer programming (MIP) model is established to perform optimal dispatch, collectively fulfilling the power delivery obligations stipulated in the medium-and long-term contracts of the consortium. Based on the optimal dispatch results, a settlement mechanism for internal power exchange is designed in accordance with the principle of "whoever causes it, bears the cost,"so as to achieve a fair distribution of economic benefits among the participating stations. Finally, using one-week actual operational data from a DC-supported DGW renewable energy base in Northwest China as a case study, the optimal dispatch and settlement procedures are carried out for each station. The results verify that the proposed operation method can effectively ensure compliance with medium-and long-term contractual obligations while simultaneously accommodating the economic interests of individual generation stations.

Original languageEnglish
Title of host publication2026 IEEE 3rd International Conference on Electrical Power Systems and Intelligent Control, EPSIC 2026
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331552534
DOIs
StatePublished - 2026
Externally publishedYes
Event3rd IEEE International Conference on Electrical Power Systems and Intelligent Control, EPSIC 2026 - Hybrid, Tianjin, China
Duration: 22 May 202624 May 2026

Publication series

Name2026 IEEE 3rd International Conference on Electrical Power Systems and Intelligent Control, EPSIC 2026

Conference

Conference3rd IEEE International Conference on Electrical Power Systems and Intelligent Control, EPSIC 2026
Country/TerritoryChina
CityHybrid, Tianjin
Period22/05/2624/05/26

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • desert-gobi-wasteland renewable energy base
  • electricity billing
  • joint operation
  • medium to long-term trading

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