Economic Dispatch of an Integrated Microgrid Based on the Dynamic Process of CCGT Plant

Zhiyi Lin, Chunyue Song*, Jun Zhao, Chao Yang, Huan Yin

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

Intra-day economic dispatch of an integrated microgrid is a fundamental requirement to integrate distributed generators. The dynamic energy flows in cogeneration units present challenges to the energy management of the microgrid. In this paper, a novel approximate dynamic programming (ADP) approach is proposed to solve this problem based on value function approximation, which is distinct with the consideration of the dynamic process constraints of the combined-cycle gas turbine (CCGT) plant. First, we mathematically formulate the multi-time periods decision problem as a finite-horizon Markov decision process. To deal with the thermodynamic process, an augmented state vector of CCGT is introduced. Second, the proposed VFA-ADP algorithm is employed to derive the near-optimal real-time operation strategies. In addition, to guarantee the monotonicity of piecewise linear function, we apply the SPAR algorithm in the update process. To validate the effectiveness of the proposed method, we conduct experiments with comparisons to some traditional optimization methods. The results indicate that our proposed ADP method achieves better performance on the economic dispatch of the microgrid.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages985-990
Number of pages6
ISBN (Electronic)9781665440899
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event33rd Chinese Control and Decision Conference, CCDC 2021 - Kunming, China
Duration: 22 May 202124 May 2021

Publication series

NameProceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

Conference

Conference33rd Chinese Control and Decision Conference, CCDC 2021
Country/TerritoryChina
CityKunming
Period22/05/2124/05/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Approximate Dynamic Programming
  • Combined-Cycle Gas Turbine
  • Dynamic Process
  • Microgrid

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