Design of robust MPPT controller for grid-connected PMSG-Based wind turbine via perturbation observation based nonlinear adaptive control

Chen, Jian; Yao, Wei; Zhang, Chuan‐Ke; Ren, Yaxing; Jiang, Lin

doi:10.1016/j.renene.2018.11.048

Cited by 140 publications

(56 citation statements)

References 47 publications

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“…To investigate the performances of the permanent magnet synchronous generator based wind turbine (PMSG-WT) under normal and fault operation conditions, an overall adaptive control approach for the WECS has been proposed. This paper integrates the author's previous works reported in [45,47]. Under normal operation condition, for MSC control, the maximum power point tracking (MPPT) operation is realized by mechanical rotation speed control and stator current control under below-rated wind speeds.…”

mentioning

confidence: 86%

“…For the MSC, under below-rated wind speeds, its objective is capturing maximum wind power. The proposed adaptive control approach has been proposed in author's previous work [47]. Under above-rated wind speeds, its aim is to limit the extracted wind power through adaptive pitch control.…”

Section: Adaptive Overall Control Approach Of the Wecsmentioning

confidence: 99%

“…Under normal operation condition, for MSC control, the maximum power point tracking (MPPT) operation is realized by mechanical rotation speed control and stator current control under below-rated wind speeds. The proposed MPPT control method in [47] is employed in this paper. It requires mechanical rotation speed to track its optimal value.…”

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confidence: 99%

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Overall Adaptive Controller Design of PMSG Under Whole Wind Speed Range: A Perturbation Compensation Based Approach

et al. 2019

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This paper proposes an adaptive overall control strategy of the permanent magnet synchronous generator-based wind energy conversion system (WECS) in the whole wind speed range. For the machine side, the maximum power point tracking (MPPT) operation is realized by stator current and mechanical rotation speed control under below-rated wind speeds. Under above-rated wind speeds, the extracted wind power is limited via pitch control. For the grid side, the reactive and active power injected into grid is regulated by DC-Link voltage and grid current control loop. In addition, under grid voltage dips, the pitch control is employed for limiting grid current and maintaining the DC-Link voltage around its rated value. The fault ride-through capability (FRTC) can be enhanced. The overall control strategy is based on perturbation estimation technique. A designed observer is used for estimating the perturbation term including all system nonlinearities, uncertainties and disturbances, so as to compensate the real perturbation. Then, an adaptive control for the original nonlinear system can be realized. The effectiveness of the proposed overall control strategy is verified by applying the strategy to a 2-MW WECS in MATLAB/Simulink. The results show that, compared with the feedback linearizing control (FLC) strategy and conventional vector control (VC) strategy, the proposed perturbation observer based adaptive control (PO-AC) strategy realizes the control objectives without knowing full state information and accurate system model, and improves the robustness of the WECS parameter uncertainties and FRTC.

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confidence: 86%

Section: Adaptive Overall Control Approach Of the Wecsmentioning

confidence: 99%

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Overall Adaptive Controller Design of PMSG Under Whole Wind Speed Range: A Perturbation Compensation Based Approach

et al. 2019

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“…Present Perturb and Observe algorithm has been noticed becoming the most efficient maximum power point tracking (MPPT) method for wind energy approaches due to its advantage. Existing research supported that two boost converters method transfers a maximum power of Wind Energy Conversion System (WECS) and Photo Voltaic (PV) system to DC link using Perturb and Observe algorithm [3]. On the other hand, the Incremental Conductance along with Fractional open Circuit Voltage algorithms are adaptable and simple in setup, despite the fact that usually are much less fruitful and still have troubles determining perfect step-size [4].…”

Section: Introductionmentioning

confidence: 99%

Development of MPPT Algorithm and Wind Rose Model for Wind Farm in Maharashtra

Jadhav¹,

Thosar²

2020

IJEAT

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 Abstract: This work focuses on enhancements of the maximum power point tracking for wind energy village. This work also targeted on numerous variables like air density, wind speed and impression of other geographical regions specific ecological elements. The Incremental Conductance along with Fractional open Circuit Voltage algorithms are usually is much less fruitful and still has problem in determining perfect step-size. To eliminate such drawbacks we recommended Hybrid execution of MPPT algorithms for maximum power point tracking to achieve the best possible power operation. The algorithms are presented by using Matlab simulation. This paper also delivers results for wind farm for various climate conditions in Maharashtra region with wind rose analysis. The outcomes attained are ideal for equivalent weather conditions based on air density variations and Hybrid Algorithm execution can be applied to draw out maximum power point. Results shows that recommended method is more efficient maximum power point tracking method with less execution time for any renewable energy resources.

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“…The modular multi-level converter (MMC) has been regarded as the most prominent converter topology for voltage source converter-based high voltage direct current (VSC-HVDC) systems, due to its high efficiency, modular design, scalability (in terms of voltage and power), low distortion of the output voltage, and minimized filter design [1,2]. As a result of the widespread application of VSC in renewable energy generation [3], especially in permanent magnet synchronous generator (PMSG)-based [4] and double fed induction generator (DFIG)-based [5] wind farms and energy storage systems [6], MMC has become one of the most essential power-electronics devices in modern power systems. The overall MMC control system has expanded the MMC design complexity from its topological configuration in power electronics.…”

Section: Introductionmentioning

confidence: 99%

Passive Current Control Design for MMC in HVDC Systems through Energy Reshaping

et al. 2019

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The complexity of the internal dynamics of a modular multi-level converter (MMC) has raised severe issues for designing corresponding controllers. The existing MMC cascaded control strategies, based on classical linear control theory, require a relatively complex structure to achieve control objectives and the parameter tuning processes during the corresponding controller design are normally difficult to solve for the highly non-linear systems with highly coupled states in MMC. On account of this, advanced controllers are required for the regulation tasks of MMC. Passivity is introduced into the MMC control system by the passive control (PC) proposed in this paper. PC can provide an extra damping effect to help save energy through utilizing passivity in the system. A controllable de-coupled form is achieved by passivation of the output calculation. Hence, well-tuned controllers can be designed and employed to effectively regulate the output current and inner differential currents of the MMC under system operating point variation. Simulation results yield numerical data that show significantly improved steady-state and transient-state performances with greatly reduced control costs.

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Design of robust MPPT controller for grid-connected PMSG-Based wind turbine via perturbation observation based nonlinear adaptive control

Cited by 140 publications

References 47 publications

Overall Adaptive Controller Design of PMSG Under Whole Wind Speed Range: A Perturbation Compensation Based Approach

Overall Adaptive Controller Design of PMSG Under Whole Wind Speed Range: A Perturbation Compensation Based Approach

Development of MPPT Algorithm and Wind Rose Model for Wind Farm in Maharashtra

Passive Current Control Design for MMC in HVDC Systems through Energy Reshaping

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