Graduate Institute of Automation Technology

Office : Room 605-1, Integrated Technology Complex

Phone : +886-2-2771-2171 Ext. 4326

Email : mstsai@ntut.edu.tw

Education : PhD, EE Dept, University of Washington, USA

Expertise : Industrial Internet of Things (IoT) Technology, Wireless Sensor Networks (WSNs), Signal Measurement, Feature Recognition, Smart Grid

RCEC Principal Research :

Smart grid technology IEC61850, Non-Intrusive Load Monitoring

RCEC Research Goals :

• Substation Automation
• Distributed Energy
• Event Detection (accuracy:98%~99%)
• Load Identification(accuracy:97%~98%)

Power Consumption Environment

Research Method and Application

IEC61850 communication services

Researsch Focus:

1. Construction of sampling system with Precision Time Protocol
2. Merging Unit
3. Construction of voltage triggered analog protection system
4. Low voltage control protection relay
5. Circuit Breaker IED

Non-Intrusive Load Monitoring(NILM)

Researsch Focus:

1. Event Detection
   probabilistic statistics : CUSUMs Non-parametric test
   Machine learning: CNN Self-Attention Based
2. Load Identification:
   probabilistic statistics : Gaussian Mixed Model
   Machine learning : 1D-CNN, 2D-CNN, Siamese network, Transfer learning

Related Research Highlights

Implementation of an Under Voltage Protection System by Integration of IEC 61850 GOOSE and SV

GOOSE Transmission for IEC61850 Based Circuit Breaker Intelligent Electronic Devices

Results of Nonlinear-Load hybrid experiment