A Genetic Algorithm-Based Low Voltage Ride-Through Control Strategy for Grid Connected Doubly Fed Induction Wind Generators

Vrionis, Theodoros; Koutiva, X.I.; Vovos, N.A.

doi:10.1109/tpwrs.2013.2290622

Cited by 126 publications

(78 citation statements)

References 24 publications

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“…However, the power controllability of the converter depends on both the severity of the grid faults and the DFIG's parameters. To encounter the difficulties, some advanced robust controllers are designed based on computational intelligence in [8,9]. This control method can enlarge the DFIG's controllable range.…”

Section: Introductionmentioning

confidence: 99%

Coordinated fault‐ride‐through strategy for doubly‐fed induction generators with enhanced reactive and active power support

Liu

Yang

2016

IET Renewable Power Generation

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With the fault ride through (FRT) requirement of grid codes, wind generators must stay connected and provide the reactive and active power support during and after the grid faults. The doubly fed induction generators (DFIGs) usually employ an active rotor crowbar to ride-through the faults. The solution works well to protect the DFIG itself, but it has shortcomings in the power support. In the paper, a coordinated FRT control strategy is investigated to improve the power support capability of the DFIGs under the fault conditions. In this strategy, a seamless switch is designed to resume the power control mode after the short-term crowbar interruption. Additional compensation terms are inserted into the converter's control loops to relieve the side-effect of rotor transient current. The coordinated control of dcchopper circuit and rotor-side converters is proposed to keep the dc-link voltage within its acceptable range. Moreover, a novel voltage limiter is designed with consideration of the conflicting effect of rotor transient current, converter's rating constraints and desired power goals. Compared with the conventional crowbar-based strategies, the proposed strategy can fully utilise the DFIG's potential to generate reactive and active power effectively. These performances have been demonstrated through the simulation and experimental tests.

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Section: Introductionmentioning

confidence: 99%

Coordinated fault‐ride‐through strategy for doubly‐fed induction generators with enhanced reactive and active power support

Liu

Yang

2016

IET Renewable Power Generation

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“…The particle swarm optimization (PSO) algorithm was proposed for the DFIG-based WT systems to find optimal values of both converter and active damping controllers [2], [8]. An optimal coordination of the DFIG converters through a fuzzy controller, which is designed using the GA was proposed in [9] to enhance the LVRT capability of WTs. Other advanced coordinated control approaches, such as adaptive dynamic programming (ADP) based methods have shown promising results for such a challenging problem [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Prioritized coordinated reactive power control of wind turbin involving STATCOM using multi-objective optimization

Moghadasi

Moghaddami²,

Anzalchi

et al. 2016

2016 IEEE/IAS 52nd Industrial and Commercial Power Systems Technical Conference (I&CPS)

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This paper presents a computational intelligence technique for optimal coordinated reactive power control between a wind turbine (WT) equipped with doubly fed induction generator (DFIG) and a static synchronous compensator (STAT-COM), during faults. The proposed control model is formulated as a multi-objective optimization problem (MOP) in order to simultaneously minimize two conflicting objectives: 1) voltage deviations at the WT terminal during and after grid faults and 2) low-frequency oscillations of the active power after clearing the faults. For this purpose, it is necessary to achieve the optimal values of control variables, such as the reactive power references for both DFIG and STATCOM controllers. The aforementioned problem is solved by using the stochastic normalized simulated annealing (NSA) algorithm. Since the proposed problem is a MOP incorporating several solutions, the NSA algorithm finds the Pareto-optimal solutions for the proposed control system, based on the assigned priorities (weights) for each objective. For online applications, where the control system needs to act very fast, a fuzzy logic controller (FLC) is used, so that tuning the fuzzy model and fuzzy rules are accomplished offline by the NSA algorithm. To validate the effectiveness of the proposed control strategy, a case study including a l.S-MW DFIG and a l.S-MVar STATCOM were carried out with MATLAB/Simulink.

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“…Figure 1 shows an uncontrolled peak current due to a severe low voltage excursion in a three-phase power converter. There is much research on power converter controllers during grid fault conditions [14][15][16][17][18][19], but unfortunately, there is not enough analysis about the uncontrolled beginning of the fault. A new fast peak current control (FPCC) is proposed to help the converter control limiting the over-current peak of the converter at the beginning of the fault.…”

Section: Introductionmentioning

confidence: 99%

A New Fast Peak Current Controller for Transient Voltage Faults for Power Converters

et al. 2015

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Abstract:Power converters are the basic unit for the transient voltage fault ride through capability for most renewable distributed generators (DGs). When a transient fault happens, the grid voltage will drop suddenly and probably will also suffer a phase-jump event as well. State-of-the-art voltage fault control techniques regulate the current injected during the grid fault. However, the beginning of the fault could be too fast for the inner current control loops of the inverter, and transient over-current would be expected. In order to avoid the excessive peak current of the methods presented in the literature, a new fast peak current control (FPCC) technique is proposed. Controlling the peak current magnitude avoids undesirable disconnection of the distributed generator in a fault state and improves the life expectancy of the converter. Experimental and simulation tests with high power converters provide the detailed behaviour of the method with excellent results.

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A Genetic Algorithm-Based Low Voltage Ride-Through Control Strategy for Grid Connected Doubly Fed Induction Wind Generators

Cited by 126 publications

References 24 publications

Coordinated fault‐ride‐through strategy for doubly‐fed induction generators with enhanced reactive and active power support

Coordinated fault‐ride‐through strategy for doubly‐fed induction generators with enhanced reactive and active power support

Prioritized coordinated reactive power control of wind turbin involving STATCOM using multi-objective optimization

A New Fast Peak Current Controller for Transient Voltage Faults for Power Converters

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