Fuzzy Logic Supervisor-Based Primary Frequency Control Experiments of a Variable-Speed Wind Generator

Mokadem, M. El; Courtecuisse, V.; Saudemont, Christophe; Robyns, Benoît; Deuse, Jacques

doi:10.1109/tpwrs.2008.2007005

Cited by 87 publications

(55 citation statements)

References 15 publications

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“…Although confirmed through experiments, the method still needs to be used for power reserve. Reference [13] only confirmed the characteristics of the wind turbine generators responding to the frequency deviation of the system but it did not confirm the relation between the output of the units and the frequency deviation under VIC.…”

Section: Introductionmentioning

confidence: 93%

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Virtual Inertia Control of D-PMSG Based on the Principle of Active Disturbance Rejection Control

Shi¹,

Wang²,

Fu³

et al. 2015

Journal of Electrical Engineering and Technology

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-The virtual inertia control (VIC) of wind turbine with directly-driven permanent-magnet synchronous generator (D-PMSG) can act similarly to the conventional synchronous generator in inertia response and frequency control, thereby supporting the system frequency stability. However, because the wind speed is inconstant and changeable to a certain extent and the D-PMSG is a complex nonlinear system, there are great difficulties in the virtual inertia optimal control of the D-PMSG. Based on the design principle of the active disturbance rejection control (ADRC), this paper presents a new VIC strategy for the D-PMSG from the perspective of power disturbance suppression in the system. The strategy helps fulfill the power grid disturbance estimation and compensation by means of the extended state observer (ESO) so as to improve the disturbance-resisting performance of the system. Compared with conventional proportional-derivative virtual inertia control (PDVIC), this method, which is of better adaptability and robustness, can not only improve the property of the D-PMSG responding to the system frequency but also reduce the influence of wind speed disturbance. The simulation and experiment results have verified the effectiveness and feasibility of the VIC based on the ADRC.

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Section: Introductionmentioning

confidence: 93%

“…However, the influence of the wind speed random disturbance has not been taken into account in [11]. Reference [13] has offered a design method of primary frequency control of wind turbine generators based on the fuzzy control principle. Although confirmed through experiments, the method still needs to be used for power reserve.…”

Section: Introductionmentioning

confidence: 99%

Virtual Inertia Control of D-PMSG Based on the Principle of Active Disturbance Rejection Control

Shi¹,

Wang²,

Fu³

et al. 2015

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

show abstract

“…3 shows the curve of the D-PMSG operating in a static mode when wind speed changes [1,18,19]. In Fig.…”

Section: Assessment Of Frequency Regulation Capability Of Wind Power mentioning

confidence: 99%

Coordinated Virtual Inertia Control Strategy for D-PMSG Considering Frequency Regulation Ability

Shi¹,

Wang²,

Ma³

et al. 2016

Journal of Electrical Engineering and Technology

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-In the process of virtual inertia control (VIC), the frequency regulation capability of the directly-driven wind turbine with permanent-magnet synchronous generator (D-PMSG) on wind farm is related to its rotor kinetic energy and capacity margin. This paper proposes the method for assessing the D-PMSG frequency regulation capability and defining its coefficient according to the operating state of wind power generators. In addition, the calculating method of parameters in VIC is also discussed according to the principles of primary frequency regulation and inertia response of synchronous generators. Then, by introducing the capability coefficient into the proportion-differential virtual inertia control (PD-VIC) for power coordination, a coordinated virtual inertia control (C-VIC) strategy is developed, with the consideration of the difference in frequency regulation capability between wind power generators. The proposed control method can not only give full play to the frequency regulation capability of wind power generators, decrease the movements of the pitch angle control system but also bring some self-coordination capability to different wind power generators thus to avoid a secondary drop in system frequency. The simulations and experiments prove the proposed method to be effective and practicable.

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“…Meanwhile Hopfield fuzzy neural network control (HFNNC) method is utilized to get more reasonable control reference values for the corresponding local controls [31,32]. Compared with the traditional PID control approach, the proposed HFNNC can not only execute the function of controller without an accurate mathematical model, but also can improve the robustness of the controller according to the operation characteristics of the microgrid.…”

Section: Dfig-smes Local Controlmentioning

confidence: 99%

Cooperative Control to Enhance the Frequency Stability of Islanded Microgrids with DFIG-SMES

Liu

et al. 2013

Energies

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Abstract:The issue of frequency stability of microgrids under islanded operation mode and mode transfer has attracted particular attention recently. In this paper, a cooperative frequency control method, which consists of a microgrid central control (MGCC) and microgrid local control (MGLC), is proposed to achieve a seamless transfer from grid-connected to islanded mode, and hence increase the frequency stability of islanded microgrids during both primary and secondary frequency control. A power deficiency prediction and distribution method is proposed in MGCC to effectively distribute and utilize the power and loads, and accomplish the cooperative control of all microgrid units. With regards to MGLC, a Hopfield fuzzy neural network control (HFNNC) is applied to make the corresponding frequency control of DFIG-SMES more adaptive. Meanwhile a state of capacity (SOC) control is utilized in battery energy storage (BES) to extend battery life. Simulation results indicate that the proposed frequency control approach can maintain the frequency stability of islanded microgrids even in emergency conditions.

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Fuzzy Logic Supervisor-Based Primary Frequency Control Experiments of a Variable-Speed Wind Generator

Cited by 87 publications

References 15 publications

Virtual Inertia Control of D-PMSG Based on the Principle of Active Disturbance Rejection Control

Virtual Inertia Control of D-PMSG Based on the Principle of Active Disturbance Rejection Control

Coordinated Virtual Inertia Control Strategy for D-PMSG Considering Frequency Regulation Ability

Cooperative Control to Enhance the Frequency Stability of Islanded Microgrids with DFIG-SMES

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