TY - GEN
T1 - Solid State Power Substation DC Node Optimization and Controller Hardware-In-The-Loop Demonstration
AU - Kim, Namwon
AU - Starke, Michael
AU - Campbell, Steven
AU - Dean, Benjamin
AU - Chinthavali, Madhu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - A solid state power substation (SSPS) node is a microgrid that integrates distributed energy resources and loads and injects/absorbs power to/from the SSPS distribution network. It is an essential building block of a futuristic distribution grid network. This paper presents the development and demonstration of optimization use cases of a SSPS DC node. By adopting multi-layer hierarchical control architecture and developing automatic device identification and dynamic optimization formulation algorithms, the SSPS DC node can perform plug-and-play resource integration and seamless transition of the optimized node operation under on and off grid condition without sophisticated algorithms, control mode changes, and user interactions. Four optimization use cases including economic dispatches with price signal changes, a sudden PV power drop, and a single directional meter and its associated costs with sending power back to the grid, and resiliency under a grid inverter trip condition were demonstrated through the real-time controller hardware-in-the-loop simulation.
AB - A solid state power substation (SSPS) node is a microgrid that integrates distributed energy resources and loads and injects/absorbs power to/from the SSPS distribution network. It is an essential building block of a futuristic distribution grid network. This paper presents the development and demonstration of optimization use cases of a SSPS DC node. By adopting multi-layer hierarchical control architecture and developing automatic device identification and dynamic optimization formulation algorithms, the SSPS DC node can perform plug-and-play resource integration and seamless transition of the optimized node operation under on and off grid condition without sophisticated algorithms, control mode changes, and user interactions. Four optimization use cases including economic dispatches with price signal changes, a sudden PV power drop, and a single directional meter and its associated costs with sending power back to the grid, and resiliency under a grid inverter trip condition were demonstrated through the real-time controller hardware-in-the-loop simulation.
KW - controller hardware-in-the-loop
KW - dc node
KW - economic dispatch
KW - hierarchical controls
KW - microgrid
KW - optimization
KW - resiliency
KW - resource integration
KW - solid state power substation
KW - use case
UR - http://www.scopus.com/inward/record.url?scp=85205551938&partnerID=8YFLogxK
U2 - 10.1109/ICDCM60322.2024.10664678
DO - 10.1109/ICDCM60322.2024.10664678
M3 - Conference contribution
AN - SCOPUS:85205551938
T3 - 2024 IEEE 6th International Conference on Direct Current Microgrids, ICDCM 2024
BT - 2024 IEEE 6th International Conference on Direct Current Microgrids, ICDCM 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Direct Current Microgrids, ICDCM 2024
Y2 - 5 August 2024 through 8 August 2024
ER -