- Built by Dong Chen from Michigan State University
- Started on Feb.25, 2020
We plan to develop a power grid simulation platform with large number of DERs. Instead of the conventional control methods, we want to try multi-agent reinforcement learning algorithms.
Problems we are targeting at are voltage and frequency stabilization and power sharing among DERs.
- main.py: the main function used to run the whole project. In this file, you can choose the DER and system configurations.
- DER_fn.py: This is the graph generation function and will be called by the main.py function.
- configs/parameters_4.py: This is the configuration file for the 4 DER system.
- configs/parameters_20.py: This is the configuration file for the 20 DER system.
In the implementation, we should build a similar configuration file and list the system configurations. We can claim our system design in the main function and keep the graph generation function unchanged.
- The first experiment is the frequency and voltage control for 4-DER and 20-DER microgrid systems.
We adapt the DER system proposed in reference [1]. The architecture is given by Fig.1. In this system, only the first DER unit can access the reference value of frequency and voltage, while all the other DERs need to communicate with its neighbors to track the reference values.
Fig.1 Architecture and communication graph of 4-DER microgrid test system.
Fig.2 Frequency and voltage of 20 DER system
To build a large-scale microgrid system, we try our generation function on a 20-DER system, which is presented by reference [3]. The architecture is given by Fig.3.
Fig.3 Architecture and communication graph of 20-DER microgrid test system.
Fig.4 Frequency and voltage of 20 DER system
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Bidram, Ali, Ali Davoudi, and Frank L. Lewis. "A multiobjective distributed control framework for islanded AC microgrids." IEEE Transactions on industrial informatics 10.3 (2014): 1785-1798.
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Bidram, Ali, et al. "Distributed cooperative secondary control of microgrids using feedback linearization." IEEE Transactions on Power Systems 28.3 (2013): 3462-3470.
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Mustafa, Aquib, et al. "Detection and Mitigation of Data Manipulation Attacks in AC Microgrids." IEEE Transactions on Smart Grid (2019).