Abstract
Seamless recovery of power to critical infrastructures, after grid failure, is a crucial need arising in scenarios that are increasingly becoming more frequent. This article proposes a seamless transition strategy using a single and unified mode-dependent droop controlled grid-forming inverters. The control strategy achieves the following objectives: 1) regulates the output active and reactive power by the droop-controlled inverters to a desired value while operating in on-grid mode; 2) seamless transition and recovery of power injections into the load after grid failure by inverters that operates in grid-forming mode all the time; 3) requires only a single bit of information on the grid/network status for the mode transition. A framework for assessing the stability of the system and to guide the choice of parameters for controllers is developed using control-oriented modeling. A controller hardware-in-the-loop-based real-time simulation study on a test system based on the realistic electrical network of a commercial-scale medical center is conducted for initial prototyping of the control strategy. A hardware experiment is conducted with two 3-..phi.., 480 -V, 125-kVA grid-forming inverters, a 3-..phi.., 480-V, 270-kVA grid simulator, a physical grid switch, and a physical load bank. The experimental data establishes the effectiveness of the always grid-forming operation and control of inverters in meeting power delivery objectives when on-grid and off-grid under various kinds of loads and scenarios while minimizing transients during transitions. Furthermore, performance comparison with existing strategies showcases the advantage of the proposed strategy.
Original language | American English |
---|---|
Pages (from-to) | 1535-1546 |
Number of pages | 12 |
Journal | IEEE Transactions on Industrial Electronics |
Volume | 71 |
Issue number | 2 |
DOIs | |
State | Published - 2024 |
NREL Publication Number
- NREL/JA-5D00-83151
Keywords
- droop control
- emergency power supply system
- parallel inverter systems
- small-signal stability