A Model Predictive Control of SMES-Battery Hybrid Energy Storage System for Voltage Regulation in DC Microgrids

Fuyao Ni, Zixuan Zheng, Qi Xie, Chunjun Huang, Yi Zong

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Installing hybrid energy storage systems (HESSs) is a cost-effective measure to regulate the bus voltage in DC microgrids (DCMGs). This paper proposes a fast model predictive control (MPC) based voltage control and power allocation optimization for HESS. In this MPC controller, only local unit information is utilized, and the DC bus voltage can be regulated quickly by one-step prediction horizon, which enhances the transient performance of the HESS voltage control system under various disturbances. Besides, the power allocation command is optimally achieved by the residual capacity triggered activating-sequence of different ESS units by modifying the DC bus voltage reference value. Compared with the traditional filtration and PI-based control methods, the proposed method can further reduce the charging/discharging cycles and rates of the battery. Two cases are conducted to demonstrate the feasibility and superiority of the proposed method.
Original languageEnglish
Title of host publicationProceedings of 2020 IEEE Student Conference on Electric Machines and Systems
Number of pages6
PublisherIEEE
Publication date2020
Pages461-466
Article number9352335
ISBN (Print)9781728156224
DOIs
Publication statusPublished - 2020
Event2020 IEEE Student Conference on Electric Machines and Systems - Jinan Mingya Qianfoshan Hotel, Shandong , China
Duration: 4 Dec 20206 Dec 2020

Conference

Conference2020 IEEE Student Conference on Electric Machines and Systems
LocationJinan Mingya Qianfoshan Hotel
CountryChina
CityShandong
Period04/12/202006/12/2020
Series2020 Ieee Student Conference on Electric Machines and Systems, Scems 2020

Keywords

  • Hybrid energy storage systems,
  • MPC
  • DC microgrid
  • Control of dc–dc converters

Fingerprint Dive into the research topics of 'A Model Predictive Control of SMES-Battery Hybrid Energy Storage System for Voltage Regulation in DC Microgrids'. Together they form a unique fingerprint.

Cite this