A power outage analysis and identification system for power grid users and its analysis and identification method

Abstract

The present invention discloses a power outage analysis and identification system for power grid users, comprising a bus side voltage signal acquisition module for acquiring bus side voltage signals; a user side voltage signal acquisition module for acquiring user side voltage signals; a voltage signal processing module for processing bus side voltage signals and user side voltage signals; a power outage feature matching module for matching power outage features according to processed voltage signals to obtain power outage information; and a power outage feature updating module for updating power outage features according to historical data. The present invention can improve the deficiencies of the prior art and improve the accuracy of power outage identification for power grid users.

Description

Technical Field

[0001] The present invention relates to the technical field of power system monitoring, and in particular to a power grid user power outage analysis and identification system and an analysis and identification method thereof. Background Art

[0002] The user end is the end of the entire power grid, and its normal operation directly affects the stability of the entire power grid. When a power grid user fails and causes a power outage, timely analysis and identification are required to make real-time adjustments to the power grid to avoid abnormal operation of the entire power grid due to fluctuations on the user side. In the prior art, the identification of power outages for power grid users still remains at the level of direct judgment using the voltage or current signal on the user side. Although this method is simple to operate, the amount of data on the user side is extremely large, including a lot of instantaneous interference data, which leads to low accuracy in identifying power outages for power grid users. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a power grid user power outage analysis and identification system and analysis and identification method thereof, which can solve the deficiencies of the prior art and improve the accuracy of power grid user power outage identification.

[0004] In order to solve the above technical problems, the technical solutions adopted by the present invention are as follows.

[0005] A power outage analysis and identification system for power grid users, comprising:

[0006] A bus side voltage signal acquisition module, used for acquiring bus side voltage signals;

[0007] A user side voltage signal acquisition module, used to acquire user side voltage signals;

[0008] A voltage signal processing module, used for processing bus-side voltage signals and user-side voltage signals;

[0009] A power outage feature matching module is used to perform power outage feature matching according to the processed voltage signal to obtain power outage information;

[0010] The power outage feature update module is used to update the power outage features according to historical data.

[0011] An analysis and identification method of the above-mentioned power grid user power outage analysis and identification system comprises the following steps:

[0012] A. The bus side voltage signal acquisition module and the user side voltage signal acquisition module respectively acquire the bus side voltage signal and the user side voltage signal;

[0013] B. The voltage signal processing module processes the voltage signal collected in step A;

[0014] C. The power outage feature matching module performs power outage feature matching according to the processed voltage signal to obtain power outage information;

[0015] D. The power outage feature update module updates the power outage features based on historical data.

[0016] Preferably, in step B, the user side voltage signal is first processed, including the following steps:

[0017] B11. Fitting the amplitude and frequency of the voltage signal on the user side to obtain a user side amplitude change curve and a user side frequency change curve;

[0018] B12. Mark the abnormal state area on the user-side amplitude change curve and the user-side frequency change curve.

[0019] Preferably, in step B, after processing the user-side voltage signal, processing the bus-side voltage signal comprises the following steps:

[0020] B21. Fitting the amplitude and frequency of the bus-side voltage signal to obtain a bus-side amplitude change curve and a bus-side frequency change curve;

[0021] B22. According to the time period of the marked area in step B12, find and mark the mutation points on the bus side amplitude change curve and the bus side frequency change curve, and establish an associated mapping relationship between the marks on the bus side amplitude change curve and the marks on the bus side frequency change curve.

[0022] Preferably, in step C, matching the voltage signal with the power outage feature comprises the following steps:

[0023] C1. Pre-matching the power outage features using the association mapping relationship obtained in step B22;

[0024] C2. Perform secondary matching on the user-side amplitude change curve and the user-side frequency change curve in the time period of the bus-side mark point corresponding to the pre-matched successful association mapping relationship with the power outage characteristics. If the match is successful, a power outage result is obtained, and if the match fails, there is no power outage.

[0025] Preferably, the power outage characteristics are stored using a specific matching model, and in step D, the matching model is updated.

[0026] The beneficial effects brought about by adopting the above technical solution are:

[0027] The present invention uses the processed voltage signal as the identification target for power outage identification, avoiding the interference of invalid signals in the collected signal on power outage identification. The processing process of the bus side voltage signal is optimized by using the user side voltage signal, thereby improving the efficiency of the signal processing process. When performing feature matching, a two-level matching method is adopted, and the associated mapping relationship with a small amount of data is matched first. If the match fails, the user side data is used for matching. Since the user side data and the bus side data remain associated, rapid positioning matching can be achieved during secondary matching. By updating the matching model, the feature matching efficiency can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a system principle diagram of a specific implementation mode of the present invention. DETAILED DESCRIPTION

[0029] Reference Figure 1 , a specific embodiment of the present invention includes:

[0030] The bus side voltage signal acquisition module 1 is used to acquire the bus side voltage signal;

[0031] User side voltage signal acquisition module 2, used to acquire user side voltage signals;

[0032] A voltage signal processing module 3 is used to process the bus side voltage signal and the user side voltage signal;

[0033] A power outage feature matching module 4 is used to perform power outage feature matching according to the processed voltage signal to obtain power outage information;

[0034] The power outage feature updating module 5 is used to update the power outage features according to historical data.

[0035] An analysis and identification method of the above-mentioned power grid user power outage analysis and identification system comprises the following steps:

[0036] A. The bus side voltage signal acquisition module 1 and the user side voltage signal acquisition module 2 respectively acquire the bus side voltage signal and the user side voltage signal;

[0037] B. The voltage signal processing module 3 processes the voltage signal collected in step A;

[0038] C. The power outage feature matching module 4 performs power outage feature matching according to the processed voltage signal to obtain power outage information;

[0039] D. The power outage feature update module 5 updates the power outage features according to historical data.

[0040] In step B, the user side voltage signal is first processed, including the following steps:

[0041] B11. Fitting the amplitude and frequency of the voltage signal on the user side to obtain a user side amplitude change curve and a user side frequency change curve;

[0042] B12. Mark the abnormal state area on the user-side amplitude change curve and the user-side frequency change curve.

[0043] In step B, after processing the user-side voltage signal, processing the bus-side voltage signal includes the following steps:

[0044] B21. Fitting the amplitude and frequency of the bus-side voltage signal to obtain a bus-side amplitude change curve and a bus-side frequency change curve;

[0045] B22. According to the time period of the marked area in step B12, find and mark the mutation points on the bus side amplitude change curve and the bus side frequency change curve, and establish an associated mapping relationship between the marks on the bus side amplitude change curve and the marks on the bus side frequency change curve.

[0046] In step C, matching the voltage signal with the power outage feature includes the following steps:

[0047] C1. Pre-matching the power outage features using the association mapping relationship obtained in step B22;

[0048] C2. Perform secondary matching on the user-side amplitude change curve and the user-side frequency change curve in the time period of the bus-side mark point corresponding to the pre-matched successful association mapping relationship with the power outage characteristics. If the match is successful, a power outage result is obtained, and if the match fails, there is no power outage.

[0049] The power outage feature is stored using a specific matching model. In step D, the matching model is updated. During the update process, the matching port position of the matching model is first updated so that the matching port is located at the place where the feature data is used most frequently. Then, the storage structure of the feature data is updated. The feature data is stored in segments, and a matching identifier is set for each storage segment. When updating, the feature data is re-segmented according to the frequency of use of the feature data, and the matching identifier is updated at the same time. When re-segmenting, the maximum migration distance of the feature data does not exceed the range of its adjacent storage segments.

[0050] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An analysis and identification method of a power grid user power outage analysis and identification system, the power grid user power outage analysis and identification system comprising: A bus side voltage signal acquisition module (1), used for acquiring bus side voltage signals; A user side voltage signal acquisition module (2), used for acquiring user side voltage signals; A voltage signal processing module (3), used for processing bus-side voltage signals and user-side voltage signals; A power outage feature matching module (4) is used to perform power outage feature matching based on the processed voltage signal to obtain power outage information; A power outage feature updating module (5), used for updating the power outage feature according to historical data; It is characterized by comprising the following steps: A. The bus side voltage signal acquisition module (1) and the user side voltage signal acquisition module (2) respectively acquire the bus side voltage signal and the user side voltage signal; B. The voltage signal processing module (3) processes the voltage signal collected in step A; Processing the voltage signal on the user side includes the following steps: B11. Fitting the amplitude and frequency of the voltage signal on the user side to obtain a user side amplitude change curve and a user side frequency change curve; B12. Mark the abnormal state area on the user-side amplitude change curve and the user-side frequency change curve; After processing the user side voltage signal, the bus side voltage signal is processed, including the following steps: B21. Fitting the amplitude and frequency of the bus-side voltage signal to obtain a bus-side amplitude change curve and a bus-side frequency change curve; B22. According to the time period of the marked area in step B12, find and mark the mutation points on the bus-side amplitude change curve and the bus-side frequency change curve, and establish an associated mapping relationship between the marks on the bus-side amplitude change curve and the marks on the bus-side frequency change curve; C. The power outage feature matching module (4) performs power outage feature matching on the processed voltage signal to obtain power outage information. The power outage feature matching on the voltage signal includes the following steps: C1. Pre-matching the power outage features using the association mapping relationship obtained in step B22; C2. Perform secondary matching on the user-side amplitude change curve and the user-side frequency change curve in the time period of the bus-side mark point corresponding to the pre-matched association mapping relationship with the power outage feature. If the match is successful, the power outage result is obtained. If the match fails, there is no power outage. D. The power outage feature update module (5) updates the power outage features according to historical data.

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