Gebhard, Tobias ; Steinke, Florian ; Brucherseifer, Eva (2022)
Monitoring Electricity Demand Synchronization Using Copulas.
IEEE PES Innovative Smart Grid Technology (ISGT Europe 2022). Novi Sad, Serbia (10.10.2022-12.10.2022)
doi: 10.1109/ISGT-Europe54678.2022.9960369
Conference or Workshop Item, Bibliographie
Abstract
Synchronization of the behavior of residential consumers, for example during crises, can lead to overloads in electric power grids. This holds especially for distribution grids, where the electrical infrastructure is not designed for the simultaneous high consumption of all households. Therefore, the monitoring and detection of (upcoming) synchronization trends is important. It is the basis for any countermeasures. We propose to model the dependency structure of consumer demands with a Gaussian copula using its correlation parameter as an indicator for synchronization. We then analyze the probability distribution of the aggregated load depending on the synchronization indicator. This allows us to infer the synchronization parameter from load measurements in real-time using a Bayesian approach. In simulation experiments with realistic household consumption distributions, we show how increased synchronization can be detected.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2022 |
| Creators: | Gebhard, Tobias ; Steinke, Florian ; Brucherseifer, Eva |
| Type of entry: | Bibliographie |
| Title: | Monitoring Electricity Demand Synchronization Using Copulas |
| Language: | English |
| Date: | 28 November 2022 |
| Publisher: | IEEE |
| Book Title: | Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) |
| Event Title: | IEEE PES Innovative Smart Grid Technology (ISGT Europe 2022) |
| Event Location: | Novi Sad, Serbia |
| Event Dates: | 10.10.2022-12.10.2022 |
| DOI: | 10.1109/ISGT-Europe54678.2022.9960369 |
| Abstract: | Synchronization of the behavior of residential consumers, for example during crises, can lead to overloads in electric power grids. This holds especially for distribution grids, where the electrical infrastructure is not designed for the simultaneous high consumption of all households. Therefore, the monitoring and detection of (upcoming) synchronization trends is important. It is the basis for any countermeasures. We propose to model the dependency structure of consumer demands with a Gaussian copula using its correlation parameter as an indicator for synchronization. We then analyze the probability distribution of the aggregated load depending on the synchronization indicator. This allows us to infer the synchronization parameter from load measurements in real-time using a Bayesian approach. In simulation experiments with realistic household consumption distributions, we show how increased synchronization can be detected. |
| Uncontrolled Keywords: | emergenCITY_CPS |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Energy Information Networks and Systems Lab (EINS) 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY Forschungsfelder Forschungsfelder > Energy and Environment Forschungsfelder > Energy and Environment > Integrated Energy Systems |
| Date Deposited: | 19 Dec 2022 10:02 |
| Last Modified: | 15 Aug 2023 10:02 |
| PPN: | 510636756 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum