access icon free Approximate error considered fuzzy proportional–integral control of DFIG with regional pole placement for FRT improvement

© The Institution of Engineering and Technology
Received 19/11/2016, Accepted 27/08/2017, Revised 26/03/2017, Published 11/09/2017

A novel fuzzy proportional–integral (PI) control with fault ride-through (FRT) capability is investigated for double fed induction generators (DFIGs), where an approximation error considered Takagi–Sugeno fuzzy observer is employed to approximate the non-linear model of DFIG. Based on the obtained observer, a H2 controller with PI structure is used to achieve specified engineering purposes, such as maximum power point tracking and automatic voltage regulator. A H∞ controller is proposed to cope with the undetected disturbances in the H2 control, and a robust technique is also proposed to override the effect of approximation error due to the fuzzy approximation. Then, the controller design is formulated as a mixed H2/H∞ suboptimisation problem with the regional pole placement constrain, which can be solved easily by using linear matrix inequality technology. In order to further improve the FRT capability, a power angle compensator is proposed to reduce terminal voltage drop via limiting DFIG power angle jump during faults. The results of dominant eigenvalue analysis and simulation are presented and discussed, which shows the capabilities of DFIG with the proposed control strategy to improve system damping, fault-tolerant control and FRT, and its contribution on power system transient stability support.

Inspec keywords: observers; control system synthesis; fuzzy control; electric potential; linear matrix inequalities; maximum power point trackers; voltage regulators; asynchronous generators; nonlinear control systems; H∞ control; fault tolerant control; power system transient stability; PI control; compensation; approximation theory; optimisation; H2 control

Other keywords: linear matrix inequality technology; power angle compensator; automatic voltage regulator; FRT improvement; double fed induction generator; fuzzy proportional-integral control; H2 controller; PI structure; power system transient stability; Takagi-Sugeno fuzzy observer; fault ride-through improvement; eigenvalue analysis; limiting DFIG power angle jump; fuzzy PI control; observer; mixed H2-H∞ suboptimisation problem; terminal voltage drop reduction; fuzzy approximation error; nonlinear model; regional pole placement constrain; fault-tolerant control; H∞ controller; maximum power point tracking

Subjects: Control system analysis and synthesis methods; Optimisation techniques; Asynchronous machines; Interpolation and function approximation (numerical analysis); Linear algebra (numerical analysis); Linear algebra (numerical analysis); Nonlinear control systems; Fuzzy control; Stability in control theory; DC-DC power convertors; Interpolation and function approximation (numerical analysis); Optimisation techniques; Voltage control; Control of electric power systems; Power system control; Optimal control

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