MIMO-MPC Based Coordinated Load Frequency Control Considering the SOC of Battery and EV

Kun Fu, Thomas Hamacher, Haoran Zhao, Vladmir Terzija, Vedran S. Perić

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Abstract

With the rising integration of renewable energy sources, modern microgrids face the issue of decreasing inertia, rendering them more vulnerable against active power imbalances. Although numerous studies have aimed to address this issue by combining various power sources such as turbine generator, battery and electric vehicle (EV) fleet, the development of a coordinated controller remains a challenging task. In this regard, this study proposes a multi-input multi-output model predictive control-based approach to satisfy the load frequency control requirements, fully exploit the flexibility of EV fleet, and meet the state-of-charge demands of both the battery and EV fleet. The effectiveness of the proposed controller has been demonstrated through simulation results.

Original languageEnglish
Title of host publication2023 International Conference on Power System Technology (PowerCon)
PublisherIEEE
Publication date2023
ISBN (Electronic)979-8-3503-0022-2, 979-8-3503-0023-9
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 International Conference on Power System Technology, PowerCon 2023 - Jinan, China
Duration: 21 Sept 202322 Sept 2023

Conference

Conference2023 International Conference on Power System Technology, PowerCon 2023
Country/TerritoryChina
CityJinan
Period21/09/202322/09/2023
SponsorChinese Society for Electrical Engineering, IEEE Power and Energy Society, State Grid Corporation of China

Keywords

  • battery
  • coordinated controller
  • EV
  • flexibility
  • load frequency control
  • model predictive control
  • SOC

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