Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building

Arslan Ahmad Bashir, Mahdi Pourakbari Kasmaei, Amir Safdarian and Matti Lehtonen
Additional contact information
Arslan Ahmad Bashir: Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland
Mahdi Pourakbari Kasmaei: Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland
Amir Safdarian: Electrical Engineering Department, Sharif University of Technology, Tehran 11365-11155, Iran
Matti Lehtonen: Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, Finland

Energies, 2018, vol. 11, issue 9, 1-16

Abstract: Efficient utilization of renewable generation inside microgrids remains challenging. In most existing studies, the goal is to optimize the energy cost of microgrids by working in synergy with the main grid. This work aimed at maximizing the self-consumption of on-site photovoltaic (PV) generation using an electrical storage, as well as demand response solutions, in a building that was also capable of interacting with the main grid. Ten-minute resolution data were used to capture the temporal behavior of the weather. Extensive mathematical models were employed to estimate the demand for hot-water consumption, space cooling, and heating loads. The proposed framework is cast as mixed-integer linear programming model while minimizing the interaction with the grid. To evaluate the effectiveness of the proposed framework, it was applied to a typical Finnish household. Matching indices were used to evaluate the degree of overlap between generation and demand under different PV penetrations and storage capacities. Despite negative correlation of PV generation with Finnish seasonal consumption, a significant portion of demand can be satisfied solely with on-site PV generation during the spring and summer seasons.

Keywords: microgrid; demand response; electrical storage; linear programming (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/9/2409/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/9/2409/ (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:11:y:2018:i:9:p:2409-:d:169275

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 ().