Three-Vector-Based Low-Complexity Model Predictive Direct Power Control Strategy for Doubly Fed Induction Generators

Three-Vector-Based Low-Complexity Model Predictive Direct Power Control Strategy for Doubly Fed Induction Generators

This paper proposes a three-vector-based low-complexity model predictive direct power control (LC-MPDPC) strategy for doubly fed induction generators (DFIGs) in wind energy applications. Previous studies have applied one- and two-vector-based LC-MPDPC strategies for ac/dc converters with a satisfact...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on power electronics 2017-01, Vol.32 (1), p.773-782
Main Authors: Wang, Xiaohe, Sun, Dan
Format: Article
Language:eng
Subjects:
Complexity
Computer simulation
Cost function
Direct power control (DPC)
doubly fed induction generator
Electric converters
Feasibility analysis
Induction generators
Mathematical model
Mathematical models
model predictive control (MPC)
Modulation
Power control
Predictive control
pulsewidth-modulated (PWM) methods
Rotors
Stators
Steady state
Wind energy
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a three-vector-based low-complexity model predictive direct power control (LC-MPDPC) strategy for doubly fed induction generators (DFIGs) in wind energy applications. Previous studies have applied one- and two-vector-based LC-MPDPC strategies for ac/dc converters with a satisfactory control performance. In this paper, an elaborated analysis of the DFIG mathematical model is made and then the feasibility of one- and two-vector-based LC-MPDPC strategies for DFIG are analyzed. However, using these approaches, the steady-state errors cannot be eliminated completely. Thus, a three-vector-based LC-MPDPC is further proposed to eliminate the power error. Both simulation and experimental results indicate that the proposed three-vector-based LC-MPDPC can significantly improve the steady-state performance and achieve an error-free control. In addition, its dynamic performance remains satisfactory compared with one- and two-vector-based LC-MPDPC.
ISSN:0885-8993
1941-0107