Vulnerability assessment method for smart distribution network based on dynamic probabilistic power flow

Abstract

The present invention is a method for assessing the vulnerability of smart distribution network based on dynamic probabilistic power flow. The basic function and random function are used to form the probability distribution of the injected power of smart distribution network nodes, and the Gram-Charlier series and half The invariant calculates the probability distribution of the bus voltage and line power, uses the piecewise function to calculate the severity index of the damage caused by the voltage, current, and power to the smart distribution network, and then calculates the vulnerability index of the output smart distribution network; this method is based on risk Theory, using the dynamic probabilistic power flow method for vulnerability assessment, to ensure that the self-healing control scheme of the smart distribution network can always adapt to changes in the load and operating environment of the smart distribution network, so that the smart distribution network can operate safely, reliably and economically.

Description

Technical field [0001] The invention involves an assessment method of the operating status and health level of a smart distribution network, which is the field of power system operation analysis technology. Background technique [0002] The power distribution network is the middle link of connecting the power load and the large power grid. As a beneficial supplement to centralized power generation, long -distance transmission and large power grid interconnection, the promotion and application of distributed power generation technology helps to achieve the security, reliable power supply and energy of intelligent distribution gridsThe sustainable development of electricity, using distributed power supplies as a support to ensure the continuous reliability of important users.However, wind power and solar photovoltaic power generation systems are affected by the natural environment and are random. The small -capacity distributed power supply directly connects to the user to form a m...

AI Technical Summary

Problems solved by technology

However, the output of wind power and solar photovoltaic power generation systems is affected by the natural environment and has randomness. Small-capacity distributed power sources are directly connected to users to form a micro-grid, and then merged into the distribution network. Although the power of the micro-grid access point can be controlled , but still has a certain degree of unpredictability, which increases the uncertainty of the distribution network load, increases the operational risk of the smart distribution network, and affects the reliability and quality of power supply.

Images