Improved Direct Deadbeat Voltage Control with an Actively Damped Inductor-Capacitor Plant Model in an Islanded AC Microgrid

Kim, Jae Hong; Hong, Ji-Tae; Kim, Hong-Ju

doi:10.3390/en9110978

Cited by 25 publications

(21 citation statements)

References 33 publications

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“…The instantaneous current tracking of the DB becomes attractive due to its high bandwidth [47][48][49]. The derivative of control parameters assists predicting its future control action.…”

Section: Deadbeat Controllermentioning

confidence: 99%

Overview of AC Microgrid Controls with Inverter-Interfaced Generations

et al. 2017

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Distributed generation (DG) is one of the key components of the emerging microgrid concept that enables renewable energy integration in a distribution network. In DG unit operation, inverters play a vital role in interfacing energy sources with the grid utility. An effective interfacing can successfully be accomplished by operating inverters with effective control techniques. This paper reviews and categorises different control methods (voltage and primary) for improving microgrid power quality, stability and power sharing approaches. In addition, the specific characteristics of microgrids are summarised to distinguish from distribution network control. Moreover, various control approaches including inner-loop controls and primary controls are compared according to their relative advantages and disadvantages. Finally, future research trends for microgrid control are discussed pointing out the research opportunities. This review paper will be a good basis for researchers working in microgrids and for industry to implement the ongoing research improvement in real systems.

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“…The instantaneous current tracking of the DB becomes attractive due to its high bandwidth [47][48][49]. The derivative of control parameters assists predicting its future control action.…”

Section: Deadbeat Controllermentioning

confidence: 99%

Overview of AC Microgrid Controls with Inverter-Interfaced Generations

et al. 2017

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“…Since predictive control is based on a system model, its performance strongly depends on the model parameter accuracy [13][14][15][16], and for PMSMs especially on the rotor flux [17]. High temperatures and currents, operating under strong field-weakening conditions, mechanical stresses, magnet cracks and mechanical imperfections may cause (partial) demagnetization [18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Performance Degradation of Surface PMSMs with Demagnetization Defect under Predictive Current Control

et al. 2019

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To control the current of a surface mounted permanent magnet synchronous machine fed by a two-level voltage source inverter, a large variety of control algorithms exists. Each of these controllers performs differently concerning dynamic performance and control- and voltage quality, but also concerning sensitivity to demagnetization faults. Therefore, this paper investigates the performance degradation of three advanced predictive controllers under a partial demagnetization fault. The three predictive controllers are: finite-set model based predictive control, deadbeat control, and a combination of both previous algorithms. To achieve this goal, the three predictive controllers are first compared under healthy conditions, and afterwards under a partial demagnetization fault. A PI controller is added to the comparison in order to provide a model-independent benchmark. Key performance indicators, obtained from both simulations and experimental results on a 4 kW axial flux permanent magnet synchronous machine with yokeless and segmented armature topology, are introduced to enable a quantification of the performance degradation of the controllers under a demagnetization fault. A general conclusion is that the deadbeat controller shows superior control quality, even under partial demagnetization.

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“…Moreover, experiments were performed through a single phase 2 kVA laboratory prototype. In [15], a detailed actively damped LC filter model with a virtual damper is designed and implemented with deadbeat controller for robust control of parameters mismatching. Moreover, a comparison with conventional control technique is also described.…”

Section: Introductionmentioning

confidence: 99%

Robust digital deadbeat control design technique for 3 phase VSI with disturbance observer

Tahir

Wang

Kaloi

et al. 2017

IEICE Electron. Express

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A novel technique for an optimized deadbeat controller, having higher convergence rate for certain disturbances and capability to maintain the system stability, rapid response and extinction of errors, is presented in this paper. This control law is stimulated with integral control for tracking the reference signals. Moreover, the deadbeat controller is proposed with a state estimator and a disturbance observer for estimating the next sampling interval and to maintain the robustness along with rapid dynamic as well as static response in case of load uncertainty or unpredicted disturbance. The proposed technique is found relatively more effective than the conventional controller and previously designed deadbeat controllers due to its properly designed parameters, as discussed through simulation and by loop experiments in real time hardware assessments.

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Improved Direct Deadbeat Voltage Control with an Actively Damped Inductor-Capacitor Plant Model in an Islanded AC Microgrid

Cited by 25 publications

References 33 publications

Overview of AC Microgrid Controls with Inverter-Interfaced Generations

Overview of AC Microgrid Controls with Inverter-Interfaced Generations

Performance Degradation of Surface PMSMs with Demagnetization Defect under Predictive Current Control

Robust digital deadbeat control design technique for 3 phase VSI with disturbance observer

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