A Mixed-Integer Programming Approach for Unit Commitment in Micro-Grid with Incentive-Based Demand Response and Battery Energy Storage System

Tuyen Nguyen-Duc (), Linh Hoang-Tuan, Hung Ta-Xuan, Long Do- Van and Hirotaka Takano
Additional contact information
Tuyen Nguyen-Duc: School of Electrical Engineering, Hanoi University of Science and Technology, Hanoi 11615, Vietnam
Linh Hoang-Tuan: School of Electrical Engineering, Hanoi University of Science and Technology, Hanoi 11615, Vietnam
Hung Ta-Xuan: School of Electrical Engineering, Hanoi University of Science and Technology, Hanoi 11615, Vietnam
Long Do- Van: School of Electrical Engineering, Hanoi University of Science and Technology, Hanoi 11615, Vietnam
Hirotaka Takano: Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan

Energies, 2022, vol. 15, issue 19, 1-26

Abstract: In the context of the increasing penetration of intermittent renewable energy resources (RES), one of the significant challenges facing traditional bulk power systems and microgrids is the scheduling generation units problem. Many studies have focused on solving the energy management problem for microgrids integrating RES. To address the intermittency caused by RES, flexible components such as battery energy storage systems (BESS) or demand response (DR) are considered. To clarify the problem of integrating these flexible components, a mixed-integer programming (MIP) approach for the unit commitment (UC) problem for microgrids with BESS and DR is proposed in this paper. An incentive-based demand response model as a negative power source and a detailed model for the vanadium redox battery (VRB) are introduced to improve the efficiency and reliability of microgrids. The objective optimization function, including the costs of generation, emissions, and maintenance, is minimized considering the uncertainty of the load and renewable energy sources. The obtained simulation results are compared with the genetic algorithm (GA) method as the basis for verification in different case studies. The obtained results have clarified the effect of using the BESS model and DR program on system operation.

Keywords: unit commitment; demand response; battery energy storage system; renewable energy (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/19/7192/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/19/7192/ (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:15:y:2022:i:19:p:7192-:d:929579

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 ().