Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building
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 us...
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doaj-1a3fedf68ea1436bb830a0a050bf6cd22020-11-24T20:52:11ZengMDPI AGEnergies1996-10732018-09-01119240910.3390/en11092409en11092409Matching of Local Load with On-Site PV Production in a Grid-Connected Residential BuildingArslan Ahmad Bashir0Mahdi Pourakbari Kasmaei1Amir Safdarian2Matti Lehtonen3Department of Electrical Engineering and Automation, Aalto University, 02150 Espoo, FinlandDepartment of Electrical Engineering and Automation, Aalto University, 02150 Espoo, FinlandElectrical Engineering Department, Sharif University of Technology, Tehran 11365-11155, IranDepartment of Electrical Engineering and Automation, Aalto University, 02150 Espoo, FinlandEfficient 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.http://www.mdpi.com/1996-1073/11/9/2409microgriddemand responseelectrical storagelinear programming |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Arslan Ahmad Bashir Mahdi Pourakbari Kasmaei Amir Safdarian Matti Lehtonen |
spellingShingle |
Arslan Ahmad Bashir Mahdi Pourakbari Kasmaei Amir Safdarian Matti Lehtonen Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building Energies microgrid demand response electrical storage linear programming |
author_facet |
Arslan Ahmad Bashir Mahdi Pourakbari Kasmaei Amir Safdarian Matti Lehtonen |
author_sort |
Arslan Ahmad Bashir |
title |
Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building |
title_short |
Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building |
title_full |
Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building |
title_fullStr |
Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building |
title_full_unstemmed |
Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building |
title_sort |
matching of local load with on-site pv production in a grid-connected residential building |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2018-09-01 |
description |
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. |
topic |
microgrid demand response electrical storage linear programming |
url |
http://www.mdpi.com/1996-1073/11/9/2409 |
work_keys_str_mv |
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1716800532860895232 |