Abstract: The present disclosure discloses a digital-analog integrated voltage transformer calibration system, used for calibrating a voltage transformer, the system including: a direct-current high voltage generator, having an input terminal connected with an input terminal of a signal conversion module; the signal conversion module, having an input terminal connected with an output terminal of the voltage transformer and an output terminal connected with a digital quantity acquisition module; the digital quantity acquisition module, having an input terminal connected with the output terminal of the voltage transformer and an output terminal connected with a processing module; the processing module, used for receiving a first digital voltage signal, a second digital voltage signal, and a third digital voltage signal.

Abstract: The present application provides an oscillation wave generating circuit and a construction method. The circuit includes: a high-voltage DC power supply, an energy storage capacitor, a thyristor, an isolation pulse transformer, a pulse control network, an LC resonant circuit, and a low-voltage DC power supply.

Abstract: Disclosed is an incomplete dimensionality augmentation-based optimization method for a data-driven power system. By dividing a power flow independent variable into a control variable and a disturbance variable, such as power of a controllable power supply and an uncontrolled voltage amplitude, only the disturbance variable is subjected to dimensionality augmentation, to adapt to the nonlinear characteristic of the power flow; and the control variable keeps a power flow constraint as a linearized expression of the control variable, thereby simplifying a power flow constraint form and solution, and achieving a higher-accuracy of optimization. The power optimization scheduling of distributed photovoltaic can be implemented by the optimization method provided in the present invention.

Abstract: A method for calculating an optimal energy flow of an integrated electricity-gas system comprises: a convex optimization part of an optimal energy flow model is established according to a fuel cost of each thermal power unit node and a gas supply cost of each nature gas source node, and a convex relaxation formula of a quadratic constraint of the optimal energy flow model is established, and a convex function is expanded by a first order Taylor expansion at a relaxation solution to form an expansion formula; a precision requirement threshold value of a non-convex constraint is given, the threshold value is compared with an unbalance magnitude of a non-convex constraint in the expansion formula; when the unbalance magnitude is greater than the threshold value, the expansion is iterated into a solution model of the integrated electricity-gas hybrid energy system until the unbalance magnitude is not greater than the threshold value.