Autonomous operation domain generation and reduction method supporting the seamless power supply of important loads

Abstract

In order to fully and accurately perceive the security risks of the intelligent distribution network, an autonomous operation domain generation and reduction method to support the seamless power supply of important loads is proposed. This method first adopts the scenario analysis method to analyze the photovoltaic uncertainty, introduces the micro-phasor measurement units (µPMU) with real-time, synchronization, accuracy, and comprehensive measurement data, and builds the fault data set through the scenario of each fault type occurring in each node of the smart distribution network. By constructing the load loss risk index of the autonomous operation domain under the photovoltaic scenario and the seamless switching ability index under the fault state, the autonomous operation domain evaluation and screening method based on the Dynamic Time Warping (DTW) algorithm is proposed. Combined with the evaluation index system, the autonomous operation domain scenario under the fault state is evaluated. The simulation results prove that this method is enough to realize the reliable screening of the autonomous operation domain scene set in the fault state, and effectively support the seamless power supply of important loads and the seamless operation of the distribution network.