A Flexible-Reliable Operation Model of Storage and Distributed Generation in a Biogas Power Plant

Renata Rodrigues Lautert, Wagner da Silva Brignol, Luciane Neves Canha, Olatunji Matthew Adeyanju and Vinícius Jacques Garcia
Additional contact information
Renata Rodrigues Lautert: Graduate Program in Electrical Engineering–PPGEE, Federal University of Santa Maria—UFSM, Santa Maria 97105-900, Brazil
Wagner da Silva Brignol: Graduate Program in Electrical Engineering–PPGEE, Federal University of Santa Maria—UFSM, Santa Maria 97105-900, Brazil
Luciane Neves Canha: Graduate Program in Electrical Engineering–PPGEE, Federal University of Santa Maria—UFSM, Santa Maria 97105-900, Brazil
Olatunji Matthew Adeyanju: Graduate Program in Electrical Engineering–PPGEE, Federal University of Santa Maria—UFSM, Santa Maria 97105-900, Brazil
Vinícius Jacques Garcia: Graduate Program in Industrial and Systems Engineering–PPGEP, Federal University of Santa Maria—UFSM, Santa Maria 97105-900, Brazil

Energies, 2022, vol. 15, issue 9, 1-21

Abstract: This paper presents a novel methodology for planning and operating biogas energy systems based on the transactive energy concept to determine multilevel operating regimes for distributed generation. The developed model is used to manage the production, storage, and dispatch of biogas energy systems to meet the load demands of the biogas producer and support the operation of the distribution network operator. An Integer Linear Programming (ILP) is fitted to optimize the biogas production of the biogas producer, including the operation of the biogas storage systems and their interaction with the network operator. The model’s objective is to maximize benefits for the participating agents in a transactive energy context. The model’s effectiveness is validated using seven case studies involving biogas systems having different operating ranges and modes to achieve enhanced flexibility and reliability for the system operation with a large proportion of intermittent energy resources. The simulation results showed that the approach could effectively manage the operation of biogas systems and their interaction with the network operator. The developed model is suitable for systems fostering net metering charging and real-time pricing.

Keywords: biogas; energy storage; distributed generation; optimization; transactive 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/1996-1073/15/9/3154/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/9/3154/ (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:9:p:3154-:d:802348

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 ().