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Impact of Load Matching Algorithms on the Battery Capacity with different Household Occupancies

  • Due to an increasing use of renewable energy sources in the power grid, it is of high importance to balance supply and demand for grid utilities and microgrid operators. If there are mismatches in the balancing, microgrids with islanded operation capabilities would be preferrable. In islanded mode, nearly zero energy buildings commonly use a stand-alone photovoltaics power supply with a battery storage. A battery storage is expensive and the capacity in case of off-grid operation depends on the electricity consumption of the dwelling's occupants. Using thermostatically controlled appliances like a freezer, water heater and space heating as additional storage systems can reduce the capacity of the battery storage system or increase the operation time in islanded mode for a fixed battery size. This paper analyzes the battery capacity dependency both on the control algorithms for the thermal storages and on the occupancy of the dwelling. Possible battery reductions for different selected occupancies are presented in this work byDue to an increasing use of renewable energy sources in the power grid, it is of high importance to balance supply and demand for grid utilities and microgrid operators. If there are mismatches in the balancing, microgrids with islanded operation capabilities would be preferrable. In islanded mode, nearly zero energy buildings commonly use a stand-alone photovoltaics power supply with a battery storage. A battery storage is expensive and the capacity in case of off-grid operation depends on the electricity consumption of the dwelling's occupants. Using thermostatically controlled appliances like a freezer, water heater and space heating as additional storage systems can reduce the capacity of the battery storage system or increase the operation time in islanded mode for a fixed battery size. This paper analyzes the battery capacity dependency both on the control algorithms for the thermal storages and on the occupancy of the dwelling. Possible battery reductions for different selected occupancies are presented in this work by comparing the simulation results of different load matching algorithms to each other and between the different occupancies. The analysis of those results enables recommendations on the most suitable algorithm for most occupancy scenarios of an existing dwelling with respect to a minimized battery capacity. This can be particularly useful, for example, for dwelling and apartment owners who are renting out dwellings.show moreshow less

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Metadaten
Author:Tobias Häring, Roya Ahmadiahangar, Argo RosinORCiD, Helmuth Biechl
DOI:https://doi.org/10.1109/IECON.2019.8927495
Identifier:978-1-7281-4878-6 OPAC HS OPAC extern
Parent Title (English):IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
Publisher:IEEE
Document Type:conference proceeding (article)
Conference:IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, 14-17 October 2019, Lisbon, Portugal
Language:English
Date of Publication (online):2019/12/09
Year of first Publication:2019
Number of pages:7 Seiten
First Page:2541
Last Page:2547
Institutes:Fakultät Elektrotechnik
IEES - Institut für Elektrische Energiesysteme
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 60 Technik
Research focus:FSP1: Energie
Publication Lists:Biechl, Helmuth
Publication reviewed:begutachtet
Release Date:2023/08/02
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