Abstract: A device for recovering variable low-temperature gas includes a low temperature stabilizing system, a compression system, an expansion refrigeration system, and a heat exchange system, which are connected to each other by pipelines, where the low temperature stabilizing system is composed of a liquid storage unit, a liquid delivery unit, a liquid jet gasification mixing unit, and a control unit, for regulating the temperature of low-temperature gas; a liquid outlet channel of the liquid storage unit is connected to a liquid inlet channel of the liquid delivery unit, a liquid outlet channel of the liquid delivery unit is connected to a liquid inlet channel of the liquid jet gasification mixing unit, and the compression system is composed of a raw material compressor and a circulating compressor; and a gas outlet channel of the raw material compressor is connected to a gas inlet channel of the circulating compressor.

Abstract: A method and a system for evaluating inertia of a power system and a storage medium. The method includes: injecting a cosine active power disturbance into the power system by small-disturbance injection, and obtaining frequency response at a node where the disturbance is injected, where the active power disturbance can be an energy storage, wind power, or photovoltaic power; acquiring an evaluation framework of inertia and frequency regulation capability of the power system according to relative characteristics of a frequency response function; and constructing a mathematical relationship between the impedance and frequency response characteristics according to a relationship among active power disturbance, frequency fluctuation and impedance.

Abstract: A method and a system for evaluating inertia of a power system and a storage medium. The method includes: injecting a cosine active power disturbance into the power system by small-disturbance injection, and obtaining frequency response at a node where the disturbance is injected, where the active power disturbance can be an energy storage, wind power, or photovoltaic power; acquiring an evaluation framework of inertia and frequency regulation capability of the power system according to relative characteristics of a frequency response function; and constructing a mathematical relationship between the impedance and frequency response characteristics according to a relationship among active power disturbance, frequency fluctuation and impedance.

Abstract: A method and device for estimating spatial distribution of power system inertia based on multi-innovation identification. The method includes: (S1) acquiring time-series data including each node frequency of a power system and a transmission power of a transmission line; decomposing a frequency signal in a series of different spaces to identify a disturbance occurring moment; (S2) analyzing a relationship among node inertia, node frequency and node injection power; constructing an OEMA model to describe an active power-frequency dynamic process of the node after the disturbance occurs; analyzing a coupling relationship between an unknown parameter of the model and the node inertia; (S3) solving the OEMA model based on multi-innovation identification to identity the unknown parameter; and (S4) according to the relationship between a vector of the parameter and the node inertia, calculating each node inertia to estimate the spatial distribution of the power system inertia.

Abstract: A method and device for estimating spatial distribution of power system inertia based on multi-innovation identification. The method includes: (S1) acquiring time-series data including each node frequency of a power system and a transmission power of a transmission line; decomposing a frequency signal in a series of different spaces to identify a disturbance occurring moment; (S2) analyzing a relationship among node inertia, node frequency and node injection power; constructing an OEMA model to describe an active power-frequency dynamic process of the node after the disturbance occurs; analyzing a coupling relationship between an unknown parameter of the model and the node inertia; (S3) solving the OEMA model based on multi-innovation identification to identity the unknown parameter; and (S4) according to the relationship between a vector of the parameter and the node inertia, calculating each node inertia to estimate the spatial distribution of the power system inertia.