Power distribution network situation sensing method based on complex event processing technology and decision tree

Abstract

The invention relates to a power distribution network situation sensing method based on the complex event processing technology and a decision tree, and the method comprises the steps: defining nodes, and generating a decision tree model according to a node rule and status values; obtaining the input data of the decision tree model; calculating and obtaining output data through employing the corresponding formulas of all nodes; comparing the output data of all nodes with expected values, and obtaining the state changes of the nodes; determining the node priority of the decision tree model, and obtaining an inference result. The method greatly improves the capability of a power distribution network for processing mass information and mastering a key situation under the condition of disasters, and provides decision support for the power distribution network for handling natural disasters.

Description

technical field [0001] The invention relates to the technical field of electric power systems, in particular to a distribution network situation awareness method based on a complex event processing technology and a decision tree. Background technique [0002] With the increasing impact of global climate change and natural disasters on the distribution network, improving the situational awareness of the distribution network for disasters has become an important development direction. The following challenges need to be faced and solved: First, the distribution network The scale is getting bigger and bigger, the network structure is getting more and more complex, and there are more and more unstable factors affecting power supply security such as equipment failure and load changes; secondly, with the country's strong support for green and clean energy, distributed power supply, energy storage Devices and electric vehicles are connected to the power grid on a large scale, and d...

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Problems solved by technology

[0002] With the increasing impact of global climate change and natural disasters on the distribution network, improving the situational awareness of the distribution network for disasters has become an important development direction. The following challenges need to be faced and solved: First, the distribution network The scale is getting bigger and bigger, the network structure is getting more and more complex, and there are more and more unstable factors affecting power supply security such as equipment failure and load changes; secondly, with the country's strong support for green and clean energy, distributed power supply, energy storage Devices and electric vehicles are connected to the power grid on a large scale, and demand response and bidirectional power flow have a major impact on the structure and operation management of the distribution network. In addition, the distribution network nodes are large in scale and have a lot of measurement data, but the coverage rate is relatively low due to cost and other reasons. low, and poor data quality

The above reasons directly make it difficult for operators to effectively perceive and control the various states and changing trends of the distribution network, which not only affects the reliable power supply capability of the distribution network under normal conditions, but also affects the power supply guarantee capability for lifeline users under disaster conditions

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