The increase in power performance of battery storage systems has led to their widespread adoption for power-oriented applications, characterized by high peak-to-average ratio load profiles. From the perspective of a user with such a power demand, in addition to the grid connection, the inclusion of a storage system can handle the quickest and unforeseen load fluctuations, levelling out the power absorbed from the grid and potentially leading to downsizing of the contractual power demand. However, finding the trade-off between the size of the storage system to be installed and the consecutive quantitative advantage in reducing grid peaks is not easy. This article demonstrates how to achieve this goal through the simulation of a realistic case study involving a highly power-oriented usage of an automated warehouse. Through an energy model developed in the open-source software OpenModelica, the main system power flows are simulated, considering the load randomness, thus creating a realistic warehouse scenario with multiple unsynchronized machines. Depending on the choice of battery size, this article quantitatively shows the variation of the grid power peaks and the frequency of their occurrence.
Battery Sizing for Grid Power Peaks Reduction: A Power-Oriented Automated Warehouse Case Study
Ceraolo M.;Lutzemberger G.;Quilici F. G.;Scarpelli C.;
2024-01-01
Abstract
The increase in power performance of battery storage systems has led to their widespread adoption for power-oriented applications, characterized by high peak-to-average ratio load profiles. From the perspective of a user with such a power demand, in addition to the grid connection, the inclusion of a storage system can handle the quickest and unforeseen load fluctuations, levelling out the power absorbed from the grid and potentially leading to downsizing of the contractual power demand. However, finding the trade-off between the size of the storage system to be installed and the consecutive quantitative advantage in reducing grid peaks is not easy. This article demonstrates how to achieve this goal through the simulation of a realistic case study involving a highly power-oriented usage of an automated warehouse. Through an energy model developed in the open-source software OpenModelica, the main system power flows are simulated, considering the load randomness, thus creating a realistic warehouse scenario with multiple unsynchronized machines. Depending on the choice of battery size, this article quantitatively shows the variation of the grid power peaks and the frequency of their occurrence.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
