4results about How to "Flexible compensation" patented technology

The invention discloses a photovoltaic grid-connected system self-adaptive capacity allocation electric energy quality treatment method and system, and the method comprises the steps: detecting whether a photovoltaic inverter is in a power generation state or not, and switching to an electric energy quality treatment mode if the photovoltaic inverter is not in the power generation state; if the photovoltaic inverter is in a power generation state and the electric energy quality of the grid-connected point exceeds the grid-connected requirement, and the residual capacity SR of the photovoltaic inverter is greater than the required compensation capacity SF, enabling the compensation capacity to be minimum while the electric energy quality is optimal through an optimal compensation model of the grid-connected point; otherwise, performing active reduction on the photovoltaic inverter, calculating the active reduction quantity, and enabling the compensation capacity to be minimum while the electric energy quality is optimal through an active reduction grid-connected point optimal compensation model. According to the invention, the photovoltaic multifunctional grid-connected inverter can be used to realize the electric energy quality management function, and the compensation capacity can be minimized when the electric energy quality of the grid-connected point is optimal.

The application discloses a linear voltage stabilizing circuit based on NMOS regulating tube, comprising a bias voltage generating circuit, a voltage division feedback circuit, an oscillator circuit, a charge pump circuit and a pre-voltage stabilizing circuit, wherein the bias voltage is generated through the bias voltage generating circuit; the output voltage is divided to obtain a feedback voltage through the voltage division feedback circuit; the feedback voltage is amplified and then input to the oscillator circuit to generate an oscillation signal; the generated oscillation signal is input to the charge pump circuit; the gate voltage of the NMOS regulating tube is adjusted through the charge pump circuit, so as to obtain the output voltage; the pre-voltage stabilizing circuit widens the input voltage range, so that the linear voltage stabilizing circuit can work in a high input voltage environment; the linear voltage stabilizing circuit based on the NMOS regulating tube has the characteristics of wide input range and low voltage difference, fast transient response speed, and is fully compatible with the thin gate oxide process.

The present disclosure provides a superconducting flux pump, system and control method based on alternating magnetic field coupling, the superconducting flux pump comprising: a transformer, comprising a first iron core and a primary winding and a secondary winding wound around the first iron core, the primary winding being connected to a first AC power source, the secondary winding and a superconducting flux bridge forming a first closed loop for providing an induced current corresponding to the current on the primary winding to the superconducting flux bridge; an electromagnet, comprising a second iron core and a winding wound around the second iron core, the second winding being connected to a second AC power source, for applying an alternating magnetic field to the superconducting flux bridge so that a DC voltage is induced at both ends of the superconducting flux bridge; and a superconducting coil, forming a second closed loop with the superconducting flux bridge, so as to excite the superconducting coil with a DC voltage.

The application discloses a kind of based on retrieval enhancement cross-modal condition diffusion model emotion recognition method and system, the method receives text, speech, image multimodal data, detects modality integrity and extracts existing modal feature;If there is missing mode, based on existing modal feature in external sample library retrieval similar sample, weighted fusion generates retrieval enhancement representation;Cross-modal condition diffusion model is constructed, and missing modal feature is recovered by combining forward diffusion into information, reverse diffusion and iteration unified cross-modal attention mechanism;Splice complete modal feature, pass through Transform fusion network and joint loss function optimization, output emotion category and intensity.The application breaks through the limitation that existing generation model only relies on local information, fully utilizes the combination advantage of external retrieval and diffusion generation, can maintain stable performance under a variety of missing patterns, and has wide application prospect.