MPC-Based Coordinated Voltage Control in LV Distribution Systems: A Case Study in Chalmers Campus Network
Paper in proceeding, 2023

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.

A case study

model predictive control

sensitivity analysis

voltage coordination

Author

Minh Quan Tran

Eindhoven University of Technology

Trung Thai Tran

Eindhoven University of Technology

An Thien Huu Nguyen

Eindhoven University of Technology

Phuong H. Nguyen

Eindhoven University of Technology

David Steen

Chalmers, Electrical Engineering, Electric Power Engineering

Anh Tuan Le

Chalmers, Electrical Engineering, Electric Power Engineering

Tam T. Mai

Det Norske Veritas (DNV)

Conference Proceedings - 2023 IEEE Asia Meeting on Environment and Electrical Engineering, EEE-AM 2023


9798350381061 (ISBN)

2023 IEEE Asia Meeting on Environment and Electrical Engineering, EEE-AM 2023
Hanoi, Vietnam,

Driving Forces

Sustainable development

Subject Categories

Energy Engineering

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

Areas of Advance

Energy

DOI

10.1109/EEE-AM58328.2023.10395131

More information

Latest update

4/2/2024 1