Abstract:
The present disclosure provides a recombinant protein for inducing cytoplasmic vacuolization cell death and use thereof, and belongs to the technical field of biomedicine. The present disclosure provides a recombinant protein for inducing cell death, where the recombinant protein is at least one selected from the group consisting of PorV, Lipocalin, and β-barrel; and the PorV has an amino acid sequence shown in SEQ ID NO: 1, the Lipocalin has an amino acid sequence shown in SEQ ID NO: 2, and the B-barrel has an amino acid sequence shown in SEQ ID NO: 3. In the present disclosure, the recombinant protein induces the formation of cytoplasmic vacuolization in various cells, thereby inducing the vacuolar cell death.
Abstract:
The present disclosure pertains to the field of power electronics technologies, and provides a grid-connected control method and system for a grid-forming converter without a grid-side voltage sensor. The grid-connected control method includes: performing coordinate transformation on a phase of a three-phase capacitor voltage sampled by a phase-locked loop (PLL) to obtain a first phase; in response to control of a first pulse width modulation (PWM) pulse signal, introducing a reference phase, and performing negative feedback regulation on a difference between the reference phase and the first phase to obtain a second phase; and in response to control of a second PWM pulse signal, performing a modulo operation on a difference between the reference phase and the second phase to obtain a third phase, where the third phase is used to replace a phase of the PLL to perform coordinate transformation of a system.
Abstract:
The global synchronous pulse width modulation system includes main control unit and plurality of grid-connected inverters located at different geographical locations, wherein each grid-connected inverter is connected with a distributed power supply; each grid-connected inverter is connected with a grid through a point of common coupling; main control unit communicates with all grid-connected inverters through communication channels; main control unit receives information of grid-connected inverters and respectively sends a global synchronous signal containing global synchronous strategy to grid-connected inverters after determining global synchronous strategy; grid-connected inverters regulate the phases of their own pulse width modulation waves through global synchronous signal to enable pulse width modulation waves of grid-connected inverters to satisfy a phase difference of harmonic counteraction, so as to counteract harmonic current injected by grid-connected inverters into grid. Advantages include eliminating the disordered superimposition problem of harmonic current of the inverters and mutually counteracting harmonic current between distributed inverters.
Abstract:
The present disclosure provides a method and system for power prediction of a photovoltaic power station based on operating data of grid-connected inverters, including: constructing a photovoltaic module model according to parameters of a photovoltaic module in a photovoltaic power station; constructing a power prediction model based on an artificial neural network algorithm; acquiring output data of a photovoltaic array when being shaded by static shadows of different thicknesses and different shading areas, constructing a training set to train the power prediction model, and obtaining a trained power prediction model; and acquiring, classifying, and normalizing output powers in real-time operating data of an inverter when the photovoltaic array is under a clear sky condition, and predicting a output power of the entire photovoltaic power station by using the trained power prediction model, the power prediction including a rolling prediction of the output power of the photovoltaic power station under a clear sky condition and a minute-level power prediction of the photovoltaic power station when being shaded by a dynamic cloud cluster. The present disclosure reduces a device cost and overcomes the defect that cloud clusters of different thicknesses affect the precision of power prediction of the photovoltaic array.