A Harmonic Traceability Method Based on Dynamic Programming Time Series Similarity Algorithm

Abstract

The invention provides a harmonic source tracing method based on an algorithm with dynamic planning time series similarity, comprising: obtaining, from an electric energy quality monitoring system, harmonic voltage monitoring data in a period of time collected by an electric energy quality monitoring terminal installed on a certain bus; obtaining, from a power consumption information collecting system, power consumption active power data in the time period of all users supplied by the bus; processing the harmonic voltage monitoring data and the power consumption active power data by using a data standardization method; and solving the correlation between the power consumption active power series data of each user and the harmonic voltage series data of the common connection points by usingan algorithm that solves the time series data similarity based on the dynamic planning principle, and carrying out the harmonic source tracing. The method provided by the invention fully mines the value of smart meter data deployed on a large scale, and infers possible users that cause harmonic problems by data correlation analysis results of the power consumption condition and the harmonic condition of the users, thereby providing a basis for accurate harmonic responsibility division, future quality-based pricing, and precise control.

Description

technical field [0001] The invention relates to a harmonic source tracing method based on a dynamic programming time series similarity algorithm. Background technique [0002] More and more power electronic loads are connected to the power grid, making the harmonics in the power grid more complicated, affecting the normal operation of the load, and even causing damage to power equipment or causing power outages in severe cases. In an actual power system, a busbar is often connected to multiple users that emit harmonics. The harmonics among these users affect each other. How to accurately locate the source of harmonics based on existing data is the basis for quantitative division of harmonic responsibilities and effective control of harmonics. , to ensure the safe and efficient operation of the power grid and users. [0003] At present, there are two methods of harmonic traceability: harmonic power direction method and responsibility sharing method. The power direction meth...

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Problems solved by technology

[0005] 1. The existing responsibility sharing methods, such as background harmonic voltage analysis method, segmental linearization method, etc., all need to accurately measure the harmonic voltage of the busbar and the harmonic current of each feeder line, and use the However, the power quality monitoring system uniformly promoted by the State Grid Corporation of China can only provide 3-minute statistical values ​​of harmonic voltage and current, which makes all existing methods unsuitable

[0006] 2. Most of the existing responsibility allocation methods are based on short-term measured instantaneous data, but harmonics are long-term steady-state quantities. Harmonic traceability and responsibility allocation based on short-term instantaneous data measurement are not accurate enough, and it is difficult to obtain multi-party approval and accept

[0007] 3. At present, the monitoring points of the power quality monitoring system are limited, and it is impossible to monitor each substation user. The monitoring data provided by the power quality monitoring terminal installed on the busbar of the substation cannot monitor the harmonic content of each user. accurate measurement

[0008] 4. Existing harmonic liability calculation methods are all based on the Norton equivalent circuit. Theoretically, the harmonic current of the Norton equivalent current source on the system side and each harmonic source needs to be known. However, since this current cannot be measured, the support is usually used Due to the coupling and interaction between harmonic sources, this approximate calculation will lead to large errors in the calculation of harmonic responsibility indicators, and even cause inaccurate traceability of harmonic sources

[0009] 5. The existing harmonic responsibility allocation methods are greatly affected by background harmonic voltage fluctuations. At present, the influence of background harmonic voltage fluctuations on the harmonic responsibility division is weakened by data screening methods or harmonic source analysis methods. These methods cannot fundamentally solve this problem on

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