Abstract
This paper presents a Particle Swarm Optimization (PSO) based Model Predictive Control (MPC) scheme applied to Automatic Generation Control (AGC) systems. The proposed scheme formulates the MPC as an optimization problem and PSO is used to find its solution. Single area AGC model is taken incorporating Generation Rate Constraint (GRC) nonlinearities and constraints on the control input. Two interconnected area AGC system excluding nonlinearity is also studied. The simulation results draw several comparisons to preceding literature showing significant improvements and signifying the strengths of the proposed MPC scheme. Furthermore, performance of controller is also explored for varying power demands, different GRC values and parameter variations.
| Original language | English |
|---|---|
| Pages (from-to) | 677-690 |
| Number of pages | 14 |
| Journal | WSEAS Transactions on Systems and Control |
| Volume | 5 |
| Issue number | 8 |
| State | Published - Aug 2010 |
Keywords
- Automatic generation control
- Load frequency control
- Model predictive control
- Nonlinear predictive control
- Optimization problem
- Particle swarm optimization
ASJC Scopus subject areas
- Control and Systems Engineering
- Control and Optimization