Elastic Reserve Strategy for Probabilistic Energy Management with Interval Predictors in Microgrids

Jiayu Cheng, Dongliang Duan, Xiang Cheng, Liuqing Yang, Shuguang Cui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a Model Predictive Control (MPC) based energy management method for isolated microgrid systems. An elastic reserve strategy is proposed to handle the probabilistic predictions of loads and Renewable Energy Sources (RES) given in the form of intervals so that the state information of systems can be better utilized in the scheduling. Scenario-selected optimizers apply the MPC framework and the mixed-integer linear programming (MILP) model to find optimal dispatches for isolated microgrids. Simulations are conducted to analyze the economic and stability performances of our proposed method and make comparisons with other methods. Numerical results show that the proposed approach is more adaptive and has better performance in terms of both economic efficiency and stability.

Original languageEnglish (US)
Title of host publication2020 Asia Energy and Electrical Engineering Symposium, AEEES 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages710-714
Number of pages5
ISBN (Electronic)9781728167824
DOIs
StatePublished - May 2020
Externally publishedYes
Event2020 Asia Energy and Electrical Engineering Symposium, AEEES 2020 - Chengdu, China
Duration: May 28 2020May 31 2020

Publication series

Name2020 Asia Energy and Electrical Engineering Symposium, AEEES 2020

Conference

Conference2020 Asia Energy and Electrical Engineering Symposium, AEEES 2020
CountryChina
CityChengdu
Period5/28/205/31/20

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported in part by Shenzhen Fundamental Research Fund under Grant No. JCYJ20170411102217994 and Guangdong province under grant No. 2017ZT07X152.

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Model Predictive Control (MPC)
  • interval predictions
  • isolated microgrid system
  • microgrid energy management
  • probabilistic control

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