Assessment method for vulnerability of smart distribution network based on dynamic probability trend

Abstract

The invention relates to an assessment method for vulnerability of a smart distribution network based on a dynamic probability trend. The assessment method comprises the following steps: adopting a basic function and a random function to form probability distribution for node injection power of the smart distribution network; computing probability distribution for busbar voltage and line power according to Gram-Charlier stage number and semi invariant; utilizing a piecewise function to compute harm severity index caused by voltage, current and power on the smart distribution network; and then computing to output the vulnerability index of the smart distribution network. According to the invention, the method based on risk theory adopts the dynamic probability trend method to access the vulnerability, and enables a self-healing control scheme of the smart distribution network to adapt to change of 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 relates to a method for evaluating the operation state and health level of an intelligent distribution network, and belongs to the technical field of power system operation analysis. Background technique [0002] The distribution network is an intermediate link between the power load and the large power grid. As a useful supplement to centralized power generation, long-distance power transmission and large power grid interconnection, the promotion and application of distributed power generation technology will help to achieve safe and reliable power supply and energy in smart distribution networks. And the sustainable development of electricity, the use of distributed power as a support in emergency situations can ensure continuous and reliable power supply for important users. However, the output of wind power and solar photovoltaic power generation systems is affected by the natural environment and has randomness. Small-capacity distrib...

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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.

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