MPC-based Control Interface Development for Frequency Control Design with PSCAD/MATLAB
File version
Author(s)
Bai, F
Saha, TK
Zhou, A
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Seattle, United States
License
Abstract
Frequency control is crucial for the stable operation of a power system. Among various control methodologies, model predictive control (MPC) is one of the promising methods for frequency control considering the system constraints and uncertainties. Nowadays, the simulation of the detailed bulk system with renewable generators is usually executed in Electromagnetic Transient Simulation Analysis Software (e.g., PSCAD/EMTDC). However, the existing PSCAD-MATLAB interface triggers MATLAB through EMTDC at predetermined intervals suitable for continuous system control instead of discrete MPC-based control. Therefore, this paper developed a PSCAD-MATLAB interface with a corresponding module design for MPC-based frequency control. The effectiveness of the proposed interface is validated through the implementation of MPC-based Fast Frequency Response (FFR) in an IEEE-9 bus system that incorporates the Synchronous Generator (SG) and renewable generators. In addition, the impact of different disturbances and the horizon of prediction and control on frequency recovery performance was investigated. In the end, the stability improvement was achieved through both terminal equality constraints and terminal inequality constraints methods.
Journal Title
Conference Title
2024 IEEE Power & Energy Society General Meeting (PESGM)
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Persistent link to this record
Citation
Ma, N; Bai, F; Saha, TK; Zhou, A, MPC-based Control Interface Development for Frequency Control Design with PSCAD/MATLAB, 2024 IEEE Power & Energy Society General Meeting (PESGM), 2024