Abstract
This project demonstrated that solar PV can be recruited to stabilize the grid, smooth out disturbances, manage power flows, and assist circuit switching operations. It developed a radically new, layered control framework for Distributed Energy Resources (DER) to act in response to real-time, measured conditions on their local distribution circuit, rather than waiting for a price signal to indicate preferred behavior. By enabling resources to act as good citizens on the electric grid, Phasor-Based Control (PBC) facilitates arbitrarily high solar penetration levels. PBC expresses objectives in terms of voltage phasors, which include information about both the magnitude and the precise timing of grid voltage at each specific location. A supervisory (S-PBC) controller sets voltage phasor targets at different nodes in the transmission or distribution network, and local (L-PBC) controllers recruit real and reactive power from resources such as solar inverters, batteries or loads to track phasor targets. The technology makes use of ultraprecise measurements from micro-phasor measurement units (µPMUs). Phasor-based control prioritizes stabilizing the grid locally, toward operating states known to be safe in accordance with physical operating constraints, while buying time for economic reoptimization after major changes or contingencies. In doing so, it advances grid reliability and resilience. The framework supports many diverse use cases that specify desired voltage phasors at certain nodes. It applies to distribution as well as transmission systems, although this project focused primarily on distribution applications and simulation. Sample use cases tested in this project include power flow control, voltage management, phase balancing, and support for switching operations.
References (12)
- A. Ul Islam, E. Ratnam and D. Bernstein, "Phasor-Based Adaptive Control of a Test- Feeder Distribution Network." IEEE Transactions on Control Systems, 2019.
- A. von Meier, E. Ratnam, K. Brady, K. Moffat and J. Swartz, "Phasor-Based Control for Scalable Integration of Variable Energy Resources." Energies 2020, 13(1), 190. https://doi.org/10.3390/en13010190
- K. Moffat, M. Bariya and A. von Meier, "Real Time Effective Impedance Estimation for Power System State Estimation." IEEE Innovative Smart Grid Technologies (ISGT) Conference, Washington, DC, Feb 2020.
- J. Swartz, T.G. Roberts, A. von Meier and E. Ratnam, "Local Phasor-Based Control of DER Inverters for Voltage Regulation on Distribution Feeders." IEEE GreenTech Conference, Oklahoma City, OK, April 2020.
- K. Moffat, M. Bariya and A. von Meier, "Unsupervised Impedance and Topology Estimation of Distribution Networks-Limitations and Tools." IEEE Transactions on Smart Grid 2020, 11(1).
- G. Fierro, K. Moffat, J. Pakshong and A. von Meier, "An Extensible Software and Communication Platform for Distributed Energy Resource Management." IEEE SmartGridComm'20, November 11-13 2020.
- K. Brady and A. von Meier, "Iterative Linearization for Phasor-Defined Optimal Power Dispatch." North American Power Symposium (NAPS), Tempe AZ, April 2021 (accepted).
- J. Swartz, B. Wais, E. Ratnam and A von Meier, "Visual Tool for Assessing Stability of DER Configurations on Three-Phase Radial Networks." Submitted to IEEE Powertech 2021. arXiv preprint available at arXiv:2011.07232
- K. Moffat, J. Pakshong, L. Chu, G. Fierro, J. Swartz, M. Baudette, C. Gehbauer and A. von Meier, "Phasor-Based Control with the Distributed, Extensible Grid Control Platform."
- M. Baudette, L. Chu, C. Gehbauer, K. Moffat, J. Pakshong, J. Swartz and A. von Meier, "Hardware in the Loop Benchmarking for Phasor-Based Control Validation." (in preparation)
- K. Moffat and A. von Meier, "Local Power-Voltage Sensitivity and Thévenin Impedance Estimation from Phasor Measurements." (in preparation)
- Open-Source Code PBC Feasibility Tool: https://github.com/jaimiosyncrasy/heatmap DEGC Repositories: https://github.com/gtfierro/DEGC • Message bus: https://github.com/immesys/wavemq • Auth platform: https://github.com/immesys/wave • Main DEGC implementation: https://github.com/gtfierro/xboswave/ • DEGC Software Framework: https://github.com/gtfierro/xboswave/tree/master/python/pyxbos • Quickstart for PBC: https://github.com/gtfierro/energise-quickstart