Research Papers

Optimal Design and Analysis of NIOFPID-Based Direct Power Control to Strengthen DFIG Power Control

[+] Author and Article Information
Ali Darvish Falehi

Department of Electrical Engineering,
Islamic Azad University,
Shadegan Branch,
Shadegan 6431837195, Iran
e-mail: a_darvishfalehi@sbu.ac.ir

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT,AND CONTROL. Manuscript received January 9, 2017; final manuscript received February 21, 2018; published online March 30, 2018. Assoc. Editor: Yang Shi.

J. Dyn. Sys., Meas., Control 140(9), 091001 (Mar 30, 2018) (11 pages) Paper No: DS-17-1014; doi: 10.1115/1.4039485 History: Received January 09, 2017; Revised February 21, 2018

A high-performance controller and strategy can significantly ameliorate the dynamic and transient capability of doubly fed induction generator (DFIG) based wind turbine. As regards, the wind speed has essentially defined the generated power by DFIG, thus, both the active and the reactive power must be followed out according to the entrance wind in the nominal and disturbance conditions. Toward this objective, noninteger order fuzzy proportional integral derivative (NIOFPID) controller based direct power control (DPC) strategy is proposed in this paper to minimize the deviation of both active and reactive power with the aim of accurate and speedy tracking of these powers. In the same vein, the aforementioned problem must be formulized in the form of the multi-objective optimization problem. Multi-objective particle swarm optimization (MOPSO) is here taken into account to intermingle with the simultaneous coordination of NIOFPIDs. The performance of held forth controller has been further evaluated under the affected power system caused by short circuit and flicker events. Eventually, the simulation results under transient and steady-state conditions demonstrate the dynamic and transient performance of NIOFPID-based DPC.

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Fig. 2

(a) Equivalent circuit of DFIG in synchronous reference frame and (b) equivalent circuit of DFIG in the d-q frame

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Fig. 1

(a) Single line diagram of under-study power system, (b) power coefficient, and (c) operating regions of wind turbines

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Fig. 4

(a) Input normalized membership function and (b) output normalized membership functions

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Fig. 3

(a) Dominated objective space, (b) front length is less than maximum bound, (c) front length larger than the maximum bound, and (d) flowchart of MOPSO

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Fig. 7

(a) Structure of DFIG equipped with NIOPID, (b) wind speed profile, and (c) pareto front

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Fig. 5

(a) Construction of NIOFPID-based DPC for controlling active power and (b) construction of NIOFPID-based DPC for controlling reactive power

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Fig. 6

Simultaneous coordination of controllers based on MOPSO

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Fig. 8

Steady-state performance of NIOFPID, NIOPID, and PID under entrance of stochastic wind and step change reactive power

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Fig. 9

Transient performance of NIOFPID, NIOPID, and PID under occurrence of three phase short circuit in in the 0.3 length of the line

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Fig. 10

Dynamic performance of the NIOFPID, NIOPID, and PID under occurrence of flicker



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