Optimal Operation of Energy Microgrid Considering Economic and Emission Indices

J. C. M. Mamani (), Mahdi Miri, Yurii Vorobev, Rustem Shichiyakh, Samariddin Makhmudov, Umarbek Rustambekovich Jabbarov and Muzaffar Shojonov
Additional contact information
J. C. M. Mamani: Universidad Brazil
Mahdi Miri: Ferdowsi University of Mashhad
Yurii Vorobev: Financial University Under the Government of the Russian Federation
Rustem Shichiyakh: Kuban State Agrarian University Named After I.T. Trubilin
Samariddin Makhmudov: Termez University of Economics and Service
Umarbek Rustambekovich Jabbarov: Mamun University
Muzaffar Shojonov: Urgench State University

SN Operations Research Forum, 2025, vol. 6, issue 3, 1-24

Abstract: Abstract The interplay between energy, social sustainability, and the economic and environmental dimensions has prompted energy operators to explore various challenges associated with energy operations. This study focused on optimizing the performance of energy microgrids, factoring in economic and environmental metrics for day-ahead planning. The proposed microgrid features a combination of hybrid energy resources, which include power, heat, and hydrogen systems. The objective functions are designed as multi-objective functions that aim to reduce emissions while maximizing the microgrid’s profitability, all while taking into account the energy purchases made by consumers. Furthermore, the research suggests implementing demand response modeling on the consumer side, which is based on shifting demand to enhance energy management. The success of this demand-side management (DSM) modeling is dependent on the pricing dynamics within the energy market, enabling consumers to adjust their energy consumption from high-price periods to those with lower prices. Ultimately, to validate the aforementioned approach some case studies were compared, and the results show optimal scheduling of operational costs, emissions, and demand using the proposed method.

Keywords: Energy microgrids; Multi-objective functions; Emissions; Demand-side management (DSM) modeling; Energy pricing (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s43069-025-00523-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:snopef:v:6:y:2025:i:3:d:10.1007_s43069-025-00523-z

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/43069

DOI: 10.1007/s43069-025-00523-z

Access Statistics for this article

SN Operations Research Forum is currently edited by Marco Lübbecke

More articles in SN Operations Research Forum from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().