Optimal Energy Management of DC Microgrid System using Dynamic Programming

Kyuchan Park, Wonpoong Lee, Dongjun Won

Research output: Contribution to journalConference articlepeer-review

18 Scopus citations

Abstract

Because voltage regulation of direct current(DC) microgrid is controlled by active power, it is closely related to optimal energy management. In a conventional DC microgrid, the microgrid scheduling is defined as the optimization problem considering the cost of power sources, demand response(DR) and electric vehicle(EV) that make up the system. In this case, the voltage stability is considered separately in power flow analysis. However, since the voltage control is related to economy, it is reasonable to consider it together with the optimal scheduling problem. Considering both the voltage control and the optimal management problem has the issue of increasing the complexity. Hence, this paper proposes optimal operation strategy using dynamic programming(DP) in DC microgrid system to reduce the complexity of the problem. This study is a preliminary study to consider voltage control and economics, and it uses DP to define a day-ahead optimal scheduling problem. The proposed method is verified by DC microgrid system configured by using MATLAB. The result of optimal energy management shows that the proposed strategy reduces complexity and makes reasonable results.

Original languageEnglish
Pages (from-to)194-199
Number of pages6
JournalIFAC-PapersOnLine
Volume52
Issue number4
DOIs
StatePublished - 2019
EventIFAC Workshop on Control of Smart Grid and Renewable Energy Systems, CSGRES 2019 - Jeju, Korea, Republic of
Duration: 10 Jun 201912 Jun 2019

Bibliographical note

Publisher Copyright:
© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Keywords

  • DC system
  • Dynamic programming
  • Microgrid
  • Operations
  • Power distribution system

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