Abstract
This paper presents detailed analysis results of a model predictive control (MPC)-based coordinated voltage control demonstrated in a real low voltage network, the Chalmers campus in Sweden. First, the modeling of the MPC is presented, and the state space mode is obtained by linearization of the power flow equation around the operation point. Thus, an updated voltage vector in the grid is calculated through the sensitivity gain corresponding to reactive power deviation in the grid. Second, the developed MPC model is integrated into an Internet of Things (IoT) platform developed under the European FlexiGrid project. The state measurements in the Chalmers campus network are collected through the IoT platform as the input for the MPC model. Then, the optimal setpoints for distributed energy resources (DERs) are calculated and sent to DERs via the IoT platform. Lastly, onsite demonstration results are analyzed, showing the performance of the MPC-based voltage control in low-voltage distribution systems.
| Original language | English |
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| Title of host publication | 2023 Asia Meeting on Environment and Electrical Engineering, EEE-AM 2023 |
| Editors | Zbigniew Leonowicz, Erika Stracqualursi |
| Publisher | Institute of Electrical and Electronics Engineers |
| Number of pages | 5 |
| ISBN (Electronic) | 979-8-3503-8106-1 |
| DOIs | |
| Publication status | Published - 25 Jan 2024 |
| Event | 2023 IEEE Asia Meeting on Environment and Electrical Engineering, EEE-AM 2023 - Hanoi, Viet Nam Duration: 13 Nov 2023 → 15 Nov 2023 |
Conference
| Conference | 2023 IEEE Asia Meeting on Environment and Electrical Engineering, EEE-AM 2023 |
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| Country/Territory | Viet Nam |
| City | Hanoi |
| Period | 13/11/23 → 15/11/23 |
Keywords
- A case study
- model predictive control
- sensitivity analysis
- voltage coordination