“…It's necessary to control the machine-side converter and grid-side converter to realize gridconnected. Compared with the control strategy of the above photovoltaic system, the control strategies of DFIG and PMSG wind turbine are more complex, but the general idea remains unchanged [10][11][12] .…”
Section: Grid Connection Strategy Of Distributed Generationmentioning
Aiming at the problem of safe operation in the medium voltage distribution network with neutral point grounding through small resistance, the distribution network model was built, and on this basis, MW-level photovoltaic (PV) system, doubly fed Induction generator (DFIG) wind turbine, permanent magnet synchronous generator (PMSG) wind turbine and energy storage device was connected respectively in this paper. The ground current and earth potential rise was studied when the power was delivered by mistake. The simulation results show that in the system with neutral point grounding through small resistance, whether it is the traditional or the active distribution network, the three-phase power delivery method is more able to ensure the personal safety of power grid operators. However, The access to distributed generator (DG) in the distribution network will have a greater impact on ground current and earth potential rise in the case of three-phase power delivery. Especially when the ground current and earth potential rise will increase after DG connected to distribution network, which is still likely to pose a threat to personal safety and needs further research.
“…It's necessary to control the machine-side converter and grid-side converter to realize gridconnected. Compared with the control strategy of the above photovoltaic system, the control strategies of DFIG and PMSG wind turbine are more complex, but the general idea remains unchanged [10][11][12] .…”
Section: Grid Connection Strategy Of Distributed Generationmentioning
Aiming at the problem of safe operation in the medium voltage distribution network with neutral point grounding through small resistance, the distribution network model was built, and on this basis, MW-level photovoltaic (PV) system, doubly fed Induction generator (DFIG) wind turbine, permanent magnet synchronous generator (PMSG) wind turbine and energy storage device was connected respectively in this paper. The ground current and earth potential rise was studied when the power was delivered by mistake. The simulation results show that in the system with neutral point grounding through small resistance, whether it is the traditional or the active distribution network, the three-phase power delivery method is more able to ensure the personal safety of power grid operators. However, The access to distributed generator (DG) in the distribution network will have a greater impact on ground current and earth potential rise in the case of three-phase power delivery. Especially when the ground current and earth potential rise will increase after DG connected to distribution network, which is still likely to pose a threat to personal safety and needs further research.
“…By introducing the change rate of the stator flux as the feed‐forward compensation (FFC), the effect of the transient rotor current control is improved under the symmetrical voltage drops . However, application of the FFC to the asymmetrical LVRT of the DFIG has not been studied so far, which requires the dual‐sequence design based on the positive and negative sequence models …”
“…One problem with the basic DTC scheme is that its performance deteriorates during start-up and for low speed operations. 7,8 Later, modified DTC approaches were developed. Other control methods include PI-based control, 9 non-linear and adaptive control, 10,11 yaw control, [12][13][14] pitch control, [15][16][17][18] and inverter firing angle control.…”
The primary objective of this investigation is to develop a new control method for wind turbines that can increase their wind energy capture efficiency. Since the resultant wind turbine system dynamics are profoundly nonlinear and coupled with significant uncertainties, traditional model-based control is found to be not only structurally complex but also computationally expensive. Here, we explore two sets of control algorithms to enhance wind to electrical energy conversion. The first accounts for system nonlinearities and external disturbances by integrating variable structure control with adaptive control. The second accommodates the nonlinearities arising from rotor aerodynamics and pitch (actuation) dynamics, as well as external disturbances, through a method inspired by a 1st order human memory/learning model. The second method allows direct maximum power coefficient tracking for winds under the rated speed and ensures rated power output for winds over the rated speed. Basically, it uses the system current and most recent memorized responses, together with past control experience, to generate new control actions. Both rotor dynamics and actuation (pitch) dynamics are reflected indirectly through the observed/measured system response at each instant, and are embedded within the control mechanism. Thus, there is no need for detailed information on the system model or system parameters in the control's design and implementation. The efficacy of both proposed approaches is analyzed through numerical simulations.
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