학술논문

Distributed Power Management and Adaptive Coordinated Control for SST-Based Power Systems
Document Type
Periodical
Source
IEEE Transactions on Industry Applications IEEE Trans. on Ind. Applicat. Industry Applications, IEEE Transactions on. 59(5):6457-6467 Jan, 2023
Subject
Power, Energy and Industry Applications
Signal Processing and Analysis
Fields, Waves and Electromagnetics
Components, Circuits, Devices and Systems
Voltage control
Power system stability
Power systems
Power system management
Transformers
Resource management
Islanding
Adaptive coordinated control
consensus algorithm
distributed power management
droop control
hybrid AC/DC microgrids
solid-state transformer
Language
ISSN
0093-9994
1939-9367
Abstract
For better utilization of DC-inherent renewable energy with high penetration and fluctuation, the solid-state transformer (SST)-based power systems have received great attention and arose increasing demand for grid supports and power management. Given the plug-and-play function of distributed renewable energy and loads, the economical and balanced power allocation as well as the flexible seamless transition among different operation modes are not considered comprehensively in existing studies. Therefore, distributed power management and adaptive coordinated control strategy are proposed for SST-interfaced power systems. 1) The application of SST as an alternative to multiple converters to interface the high-voltage grid (HG) and hybrid AC/DC microgrids (MGs) can reduce system communication. Compared with traditional transformers, the controllability and intelligence of SST-enabled power systems are improved. 2) The flexible seamless transition and adaptive coordinated control among HG-connected mode, MG interconnected mode and islanding mode are realized to adapt to different fault conditions. 3) Considering system operation limits, the economical and balanced power allocation is realized accurately, and the voltage quality is effectively ensured in various operation modes. Finally, the feasibility and effectiveness of the proposed system and control strategy are tested on the OPAL-RT-based platform.