Probabilistic Microgrid Energy Management with Interval Predictions

Jiayu Cheng, Dongliang Duan, Xiang Cheng, Liuqing Yang and Shuguang Cui
Additional contact information
Jiayu Cheng: Shenzhen and Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen 518172, China
Dongliang Duan: Shenzhen Research Institute of Big Data (SRIBD), Shenzhen 518172, China
Xiang Cheng: Shenzhen Research Institute of Big Data (SRIBD), Shenzhen 518172, China
Liuqing Yang: Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA
Shuguang Cui: Shenzhen and Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen 518172, China

Energies, 2020, vol. 13, issue 12, 1-23

Abstract: In this paper, we consider a probabilistic microgrid dispatch problem where the predictions of the load and the Renewable Energy Source (RES) generation are given in the form of intervals. A hybrid method combining scenario-selected optimization and reserve strategy using the Model Predictive Control (MPC) framework is proposed. Specifically, first of all, an appropriate scenario is selected by the optimizer at each optimization stage, and then the optimal scheduling and reservation of system capacity are determined based on the selected scenario and possible variations in the future as provided by the predictors. In addition, a new reserve strategy is introduced to adaptively maintain system reliability and respond to variations in the hierarchical microgrid control. Simulations are conducted to compare our proposed method with the existing robust method and the deterministic dispatch with perfect information. Results show that our proposed method significantly improves the system efficiency while maintaining system reliability.

Keywords: microgrid energy management; probabilistic dispatch; interval predictions; isolated microgrid system; model predictive control (MPC) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/12/3116/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/12/3116/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:12:p:3116-:d:372339

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().