Non-invasive resident load sudden change event three-threshold detection method and system

A load mutation, threshold detection technology, applied in the direction of measuring electricity, measuring devices, vehicle components, etc., can solve problems such as huge differences in characteristics, and achieve the effect of high detection accuracy and improved detection accuracy
CN112396007AActive Publication Date: 2021-02-23STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT +2
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT
Publication Date
2021-02-23

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Abstract

The invention discloses a non-invasive resident load sudden change event three-threshold detection method and system, and the method comprises the steps: firstly carrying out the high-sensitivity detection through employing low-threshold resident entrance side high-frequency sampling data, and detecting all possible load sudden change event segments; secondly, carrying out similar splicing on thedetected load sudden change event sections on a time scale according to a time threshold value, so as to completely obtain a sudden change whole process of various start-stop events such as a long start event and the like; and finally, judging the complete event set by using a high threshold, screening effective load mutation events, and filtering disturbance mutation generated by load fluctuation. According to the method, the input and removal moments of various types of loads are quickly and accurately positioned, the transient interval interception precision of the sudden load change eventis improved, and meanwhile, the method has outstanding advantages in the aspect of solving the slow-rise type sudden load change event detection.
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Description

technical field

[0001] The invention belongs to the technical field of non-interventional load identification, and relates to a non-invasive three-threshold detection method and system for sudden change event of residential load. Background technique

[0002] With the improvement of the living standards of urban residents in my country, the load of residential users is increasing rapidly, and the behavior of users' electricity consumption is becoming more and more complex, and users pay more attention to in-depth participation in personalized selection and information interaction. The large number of residential users and the increasing demand for lean energy services make them a powerful group that interacts with the power grid.

[0003] At present, the State Grid Corporation of China can only push limited electricity consumption data such as the electricity consumption of the previous day to residential users, which cannot meet the needs of energy efficiency assessment and...

Claims

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