CN116032002A - Distribution network medium-voltage topology analysis method and system based on artificial intelligence - Google Patents
Distribution network medium-voltage topology analysis method and system based on artificial intelligence Download PDFInfo
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Abstract
The invention discloses a distribution network medium voltage topology analysis method and system based on artificial intelligence, which are used for collecting current and voltage basic data of power distribution network different transmission line power allocation, establishing a circuit topology digital design model and a detailed medium voltage line design specification which can be adopted, collecting current error data on a current and voltage receiving channel of the distribution network in real time when the power distribution network different transmission line power allocation is connected with an artificial intelligence power analysis controller and no collected data is sent to a power allocation sensor, and determining the maximum value of the power topology error allowed by the specification of the power distribution network data currently measured by the power allocation sensor according to the collected data, the detailed medium voltage line design specification and the current error data; by eliminating the error interference after the power distribution network is measured, the system and the method can enable the measurement result to be more accurate.
Description
Technical Field
The invention relates to the field of power distribution network data processing, in particular to a power distribution network medium voltage topology analysis method and system based on artificial intelligence.
Background
The distribution network is composed of overhead lines, cables, towers, distribution transformers, isolating switches, reactive compensators, a plurality of auxiliary facilities and the like, and plays a role in distributing electric energy in the power network, and is an important public infrastructure for national economy and social development. With the continuous development of power distribution networks, the types of power supply equipment of the power grids are more and more, and data and information data related to the power distribution networks are more and more complex. The statistics of the power distribution network data is required to be counted and analyzed by planners collected from each county to the district and the city, and because the power distribution network data is large in quantity and multiple in models, the operation and maintenance personnel have large workload and long period when carrying out statistical analysis, and the problem of the data is difficult to find, the problem data is possibly taken as the original quantity to participate in calculation, and the power distribution network planning result is inaccurate or has problems.
Disclosure of Invention
The invention provides a distribution network medium voltage topology analysis method and system based on artificial intelligence, which are used for solving the problems that the existing distribution network data statistics is inaccurate, the statistics period is long, and the distribution network planning is affected.
The technical scheme adopted by the invention is that, on one hand, the invention provides a power distribution network medium voltage topology analysis method based on artificial intelligence, which comprises the following steps:
collecting current and voltage basic data of power allocation of different power transmission lines of a power distribution network, and establishing a circuit topology digital design model and a detailed medium-voltage line design specification which can be adopted;
the power distribution network is connected with an artificial intelligent power analysis controller through power distribution of different transmission lines, when the power distribution network does not send acquisition data to a power distribution sensor, the artificial intelligent power analysis controller collects current error data on the current and voltage receiving channels of the power distribution network in real time;
and determining the maximum value of the power topology error allowed by the specification of the power distribution network data currently measured by the power allocation sensor according to the acquired data, the detailed medium voltage line design specification and the current error data.
According to the method, the inherent characteristics of power allocation of different power transmission lines of the power distribution network and the current error data are combined to determine the maximum value of the error of the power topology structure allowed by the specification of the currently measured power distribution network data, the maximum value of the error of the power topology structure allowed by the specification is updated in real time to reflect the current error interference condition of the device, and then the measurement result can be more accurate by eliminating the error interference after the measured power distribution network is acquired.
In one embodiment, the specification allows the power topology error maximum to be determined as follows:
if the current error data is located between the acquired data and a detailed medium voltage line design specification, taking the current error data as the maximum value of the power topology error allowed by the specification;
if the current error data is smaller than or equal to the acquired data, taking the acquired data as the maximum value of the power topological structure error allowed by the specification;
and if the current error data is greater than or equal to the detailed medium voltage line design specification, subtracting the acquired standard data normalization value from the detailed medium voltage line design specification to obtain the maximum value of the error of the power topological structure allowed by the specification.
In one embodiment, after determining the maximum allowable power topology error, the method further comprises the steps of:
and determining the number of times of power distribution network data currently measured by the power allocation sensor according to the maximum value of the power topological structure error allowed by the specification and the received medium voltage line design specification currently received by the power distribution network current and voltage.
In one embodiment, the method for determining the number of times of the power distribution network data currently measured by the power distribution sensor is as follows:
if the current and voltage of the power distribution network are smaller than the maximum value of the power topological structure error allowed by the specification, the power data topological structure analysis fails;
and if the current and voltage of the power distribution network are greater than or equal to the maximum value of the power topological structure error allowed by the standard, the number of times of the power distribution network data currently measured by the power allocation sensor is the maximum value of the power topological structure error allowed by the standard subtracted from the current and voltage of the power distribution network.
In one embodiment, the step of the artificial intelligence power analysis controller collecting the current error data on the current and voltage receiving channels of the power distribution network in real time specifically includes:
and when the power distribution network is connected with the artificial intelligent power analysis controller through power distribution of different transmission lines, and acquisition data is not sent to the power distribution network sensor, acquiring a plurality of error data received by the current and the voltage of the power distribution network in real time, and alternately performing a Kalman filtering algorithm and a Gaussian filtering algorithm according to the plurality of error data to obtain the current error data on the current and the voltage receiving channels of the power distribution network.
In one embodiment, the standard data normalization value in the specific environment is changed according to the environment where the power distribution network is allocated to different power transmission lines.
On the other hand, the invention provides an artificial intelligence based medium voltage topology analysis system of a power distribution network, which comprises:
the power distribution network data acquisition unit is used for acquiring current and voltage basic data of power distribution network power allocation of different power transmission lines, and establishing a circuit topology digital design model and a detailed medium-voltage line design specification which can be adopted;
the real-time error acquisition unit is used for connecting an artificial intelligent power analysis controller to the power distribution network through power distribution of different power transmission lines, and the artificial intelligent power analysis controller acquires current error data on a current and voltage receiving channel of the power distribution network in real time when the power distribution network does not send acquisition data to a power distribution sensor through the different power transmission lines;
and the standard allowed power topological structure error maximum value acquisition module is used for determining the standard allowed power topological structure error maximum value of the power distribution network data currently measured by the power allocation sensor according to the acquired data, the detailed medium voltage line design standard and the current error data.
In one embodiment, the power topology error maximum value collection module allowed by the specification is specifically configured to:
if the current error data is located between the acquired data and a detailed medium voltage line design specification, taking the current error data as the maximum value of the power topology error allowed by the specification;
if the current error data is smaller than or equal to the acquired data, taking the acquired data as the maximum value of the power topological structure error allowed by the specification;
and if the current error data is greater than or equal to the detailed medium voltage line design specification, subtracting the acquired standard data normalization value from the detailed medium voltage line design specification to obtain the maximum value of the error of the power topological structure allowed by the specification.
In one embodiment, the method further comprises:
and the current distribution network measurement determining module is used for determining the number of times of the distribution network data currently measured by the power allocation sensor according to the maximum value of the power topological structure error allowed by the specification and the design specification of the current and voltage currently received receiving medium-voltage circuit of the distribution network.
In one embodiment, the current power distribution network measurement determining module is specifically configured to:
if the current and voltage of the power distribution network are smaller than the maximum value of the power topological structure error allowed by the specification, the power data topological structure analysis fails;
and if the current and voltage of the power distribution network are greater than or equal to the maximum value of the power topological structure error allowed by the standard, the number of times of the power distribution network data currently measured by the power allocation sensor is the maximum value of the power topological structure error allowed by the standard subtracted from the current and voltage of the power distribution network.
The beneficial effects are that:
the invention provides a distribution network medium voltage topology analysis method and a distribution network medium voltage topology analysis system based on artificial intelligence, which can rapidly process distribution network data and send out the data, ensure that the distribution network data can be processed accurately in time, filter errors in the processing process, and enable the judgment of the distribution network data to be more accurate.
Drawings
FIG. 1 is a first flowchart of the method of the present invention;
FIG. 2 is a second flowchart of the method of the present invention;
FIG. 3 is a third flowchart of the method of the present invention;
FIG. 4 is a fourth flowchart of the method of the present invention;
FIG. 5 is a first construction view of the apparatus of the present invention;
fig. 6 is a second construction of the apparatus of the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments and features of the embodiments in the present application may be combined with each other, and the present application will be further described in detail with reference to the drawings and the specific embodiments.
Referring to fig. 1, an artificial intelligence based power distribution network medium voltage topology analysis method includes the following steps:
step R1: and collecting current and voltage basic data of power allocation of different transmission lines of the power distribution network, and establishing a circuit topology digital design model and a most detailed medium-voltage line design specification which can be adopted.
When the power distribution of different transmission lines of the power distribution network is not connected to the artificial intelligent power analysis controller, the static error medium-voltage line design specification of the current and voltage circuits of the power distribution network, namely the basic data of the current and the voltage, is measured, and the circuit topological structure digital design model can be acquired in the single-board radio frequency channel test in the production process. The power allocation sensor is specifically used, after power distribution network data are acquired, the wireless power allocation sensor is used for sending power distribution network currents and voltages of power allocation to different power transmission lines of a power distribution network through the wireless communication module, the power distribution network currents and voltages transmit the power distribution network data to processors of the power allocation of the different power transmission lines of the power distribution network to receive and process the power distribution network data, power distribution network current and voltage basic data are obtained, the circuit topology digital design model reflects inherent errors of power distribution network current and voltage receiving paths, and the inherent errors can directly influence the times of finally acquired power distribution network data of the power allocation of the different power transmission lines of the power distribution network.
The power distribution network current and voltage are transmitted to processors for power distribution of different power transmission lines of the power distribution network after the power distribution network data transmitted by the wireless power distribution sensor are received, and the transmitted power distribution network data do not exceed detailed medium voltage line design specifications which can be adopted by the power distribution network current and voltage, namely the most detailed medium voltage line design specifications of the power distribution network.
Step R2: and when the power distribution network is electrically allocated to different transmission lines and connected with the artificial intelligent power analysis controller and acquisition data is not sent to the power allocation sensor, current error data on the current and voltage receiving channels of the power distribution network are acquired in real time.
The distribution network power distribution system comprises a power distribution network, wherein the power distribution network comprises a power distribution network current and voltage, the power distribution network current and voltage are distributed by the power distribution network current and voltage, the power distribution network current and voltage are received by the power distribution network current and voltage through the power distribution network current and voltage, and the current environment error and the environment interference condition corresponding to the inherent errors of the power distribution network current and voltage are reflected by the error medium-voltage line design specification on the receiving path of the power distribution network.
And acquiring a plurality of error data received by the current and the voltage of the power distribution network at the moment in real time, storing the error data in a stack in a first-in first-out storage mode, and alternately performing a Kalman filtering algorithm and a Gaussian filtering algorithm according to a plurality of nearest error data by adopting a sliding window average algorithm or a Gaussian weighted Kalman filtering algorithm and a Gaussian filtering algorithm to obtain the current error data of the current and the voltage of the power distribution network.
Step R3: and determining the maximum value of the power topology error allowed by the specification of the power distribution network data currently measured by the power allocation sensor according to the acquired data, the detailed medium voltage line design specification and the current error data.
When the device works, the current error data of the power distribution network after the power distribution of the different power transmission lines is accessed to the artificial intelligent power analysis controller can directly influence the design specification of the medium-voltage circuit of the power distribution network, which is sampled by the wireless sensor finally collected by the power distribution network power distribution of the different power transmission lines, and the current error data needs to be removed, so that the accuracy of the data detection of the power distribution network is ensured, and the detection accuracy is improved.
The current error data comprise inherent real-time errors of the current and the voltage of the power distribution network, so that in general cases, the current error data corresponding to the current error data after the power distribution network is connected to the artificial intelligent power analysis controller through power distribution network power allocation are larger than current and voltage basic data of the current and the voltage of the power distribution network, and the circuit topological structure is a digital design model.
Setting the maximum value of the error of the power topology structure allowed by the specification of the currently measured power distribution network data, wherein the maximum value of the error of the power topology structure allowed by the specification can reflect the error interference condition of the device in the current working environment to a great extent, and determining the times of the power distribution network data by taking the maximum value of the error of the power topology structure allowed by the specification as a reference after the power distribution network data acquired by the wireless power distribution sensor are collected by power distribution network power distribution of different power transmission lines.
In one embodiment, the maximum value of power topology error allowed by the specification of the currently measured power distribution network data is determined by:
and if the current error data is positioned between the acquired data and the detailed medium voltage line design specification, taking the current error data as the maximum value of the power topological structure error allowed by the specification.
And if the current error data is smaller than or equal to the acquired data, taking the acquired data as the maximum value of the power topological structure error allowed by the specification.
And if the current error data is greater than or equal to the detailed medium voltage line design specification, subtracting a standard data normalization value in a specific environment from the detailed medium voltage line design specification to serve as the maximum value of the error of the power topological structure allowed by the specification.
Experiments show that the standard data normalization value in the specific environment is changed according to the environments where the power distribution network is subjected to power allocation of different power transmission lines.
According to the distribution network medium voltage topology analysis method based on artificial intelligence, current and voltage basic data of power distribution network different transmission line power allocation are collected, a circuit topology digital design model and a detailed medium voltage line design specification which can be adopted are established, when the power distribution network different transmission line power allocation is connected with an artificial intelligence power analysis controller and the collected data is not sent to a power allocation sensor, a plurality of error data received by the current and voltage of the distribution network are collected in real time, current error data are obtained according to the plurality of error data, and the maximum value of the power topology error allowed by the specification of the distribution network data currently measured by the power allocation sensor is determined according to the collected data, the detailed medium voltage line design specification and the current error data; and determining the maximum value of the error of the power topology structure allowed by the specification of the currently measured power distribution network data by combining the inherent characteristics of power allocation of different power transmission lines of the power distribution network and the current error data on the current and voltage receiving paths of the power distribution network, wherein the maximum value of the error of the power topology structure allowed by the specification is updated in real time to reflect the current error interference condition of the device, and determining the design specification of the medium-voltage line of the currently measured power distribution network by taking the maximum value of the error of the power topology structure allowed by the specification as a reference, so that the power distribution network measured by the device has small environmental interference and accurate measurement result.
Referring to fig. 2 to fig. 4, a flowchart of a method for analyzing medium voltage topology of a power distribution network based on artificial intelligence is shown in another embodiment.
In this embodiment, the method for analyzing the medium voltage topology of the power distribution network based on artificial intelligence includes:
step T1: and collecting current and voltage basic data of power allocation of different transmission lines of the power distribution network, and establishing a circuit topology structure digital design model and a detailed medium-voltage line design specification which can be adopted.
Step T2: and when the power distribution network is connected with the artificial intelligent power analysis controller through power distribution of different transmission lines, and acquisition data is not sent to the power distribution network sensor, acquiring a plurality of error data received by the current and the voltage of the power distribution network in real time, and alternately performing a Kalman filtering algorithm and a Gaussian filtering algorithm according to the plurality of error data to obtain the current error data on the current and the voltage receiving paths of the power distribution network.
Step T3: and judging the sizes of the current error data, the acquired data and the detailed medium voltage line design specification.
Step T4: and if the current error data is positioned between the acquired data and the detailed medium voltage line design specification, taking the current error data as the maximum value of the power topological structure error allowed by the specification.
Step T5: and if the current error data is smaller than or equal to the acquired data, taking the acquired data as the maximum value of the power topological structure error allowed by the specification.
Step T6: and if the current error data is greater than or equal to the detailed medium voltage line design specification, subtracting a standard data normalization value in a specific environment from the detailed medium voltage line design specification to serve as the maximum value of the error of the power topological structure allowed by the specification.
The method comprises the steps of establishing a circuit topology digital design model and a detailed medium voltage circuit design specification which can be adopted to judge the rationality of current error data through current and voltage basic data of power distribution network current and voltage, wherein the current error data on a power distribution network current and voltage receiving path is larger than the current and voltage basic data after power distribution network power distribution is connected to an artificial intelligent power analysis controller, and the circuit topology digital design model, so that the current error data is generally larger than the real-time error data but smaller than the detailed medium voltage circuit design specification which can be adopted by the power distribution network current and voltage. When the current error data is between the real-time error data and the detailed medium voltage line design specification, the current error data is taken as the maximum value of the power topological structure error allowed by the specification reflecting the current interference condition of the device.
Step T7: comparing the current and voltage of the power distribution network with the maximum value of the power topological structure error allowed by the current and voltage of the current and voltage received medium voltage circuit design specification, and if the current and voltage received medium voltage circuit design specification is greater than or equal to the maximum value of the power topological structure error allowed by the specification, entering a step T8: if the design specification of the receiving medium voltage line is smaller than the maximum value of the power topology error allowed by the specification, step T9 is entered.
Step T8: the number of times of the power distribution network data currently measured by the power allocation sensor is the maximum value of the power topology error allowed by the received medium voltage line design specification minus the specification.
After the current and voltage of the power distribution network are collected, the current and voltage of the power distribution network are compared with the maximum value of the power topology structure error allowed by the standard reflecting the current error interference condition, if the current and voltage of the power distribution network are greater than or equal to the maximum value of the power topology structure error allowed by the standard, the result of subtracting the maximum value of the power topology structure error allowed by the standard from the current design specification of the power distribution network is used as the number of times of the power distribution network data currently measured by the power allocation sensor.
Step T9: the power data topology analysis fails.
If the received medium-voltage line design specification is smaller than the maximum value of the power topological structure error allowed by the specification, namely the error data corresponding to the current error interference condition reflected by the maximum value of the power topological structure error allowed by the specification is not reached, the power distribution network data obtained by the measurement at the time is abnormal, and the measurement fails.
According to the distribution network medium voltage topology analysis method based on artificial intelligence, intrinsic characteristics of power distribution network different transmission line power allocation and current error data on a distribution network current and voltage receiving path are combined to determine the maximum value of the power topology error allowed by the specification of the currently measured distribution network data, the maximum value of the power topology error allowed by the specification is updated in real time to timely reflect the current error interference condition of the device, the current measured distribution network medium voltage line design specification is determined based on the maximum value of the power topology error allowed by the specification, the distribution network medium voltage line design specification actually acquired by the distribution network different transmission line power allocation is obtained by subtracting the maximum value of the power topology allowed by the specification from the received medium voltage line design specification currently received by the distribution network current and voltage, so that the distribution network measured by the device is small in environmental interference and accurate in measurement result.
Referring to fig. 5 to fig. 6, a block diagram is shown illustrating a structure of an artificial intelligence based medium voltage topology analysis system of a power distribution network in an embodiment.
In this embodiment, an artificial intelligence based medium voltage topology analysis system for a power distribution network includes:
the power distribution network data acquisition unit 10 is used for acquiring current and voltage basic data of power distribution network power allocation of different power transmission lines, and establishing a circuit topology digital design model and a detailed medium-voltage line design specification which can be adopted.
The real-time error acquisition unit 11 is used for acquiring current error data on the current and voltage receiving channels of the power distribution network in real time when power distribution of different power transmission lines of the power distribution network is connected with the artificial intelligent power analysis controller and acquisition data is not sent to the power distribution sensor. The method specifically comprises the steps of collecting a plurality of error data received by current and voltage of a power distribution network in real time, and alternately carrying out a Kalman filtering algorithm and a Gaussian filtering algorithm according to the plurality of error data to obtain current error data on a current and voltage receiving channel of the power distribution network.
And the standard allowed power topology error maximum value acquisition module 12 is used for determining the standard allowed power topology error maximum value of the power distribution network data currently measured by the power allocation sensor according to the acquired data, the detailed medium voltage line design standard and the current error data.
In one embodiment, the specification-allowed power topology error maximum collection module 12 is specifically configured to:
if the current error data is located between the acquired data and a detailed medium voltage line design specification, taking the current error data as the maximum value of the power topology error allowed by the specification;
if the current error data is smaller than or equal to the acquired data, taking the acquired data as the maximum value of the power topological structure error allowed by the specification;
and if the current error data is greater than or equal to the detailed medium voltage line design specification, subtracting a standard data normalization value in a specific environment from the detailed medium voltage line design specification to serve as the maximum value of the error of the power topological structure allowed by the specification.
In one embodiment, the medium voltage topology analysis system of the power distribution network based on artificial intelligence further comprises:
and the current distribution network measurement determining module 13 is configured to determine the number of times of the distribution network data currently measured by the power allocation sensor according to the maximum value of the power topology error allowed by the specification and the design specification of the current and voltage currently received medium voltage line of the distribution network.
In one embodiment, the current distribution network measurement determining module 13 is specifically configured to:
if the design specification of the current and voltage of the power distribution network currently received receiving medium-voltage circuit is smaller than the maximum value of the power topological structure errors allowed by the specification, the power data topological structure analysis fails.
And if the current and voltage of the power distribution network are greater than or equal to the maximum value of the power topological structure error allowed by the standard, the number of times of the power distribution network data currently measured by the power allocation sensor is the maximum value of the power topological structure error allowed by the standard subtracted from the current and voltage of the power distribution network.
According to the artificial intelligence-based medium voltage topology analysis system for the power distribution network, inherent characteristics of power allocation of different transmission lines of the power distribution network are combined, the inherent characteristics comprise current and voltage basic data, a circuit topology digital design model and a detailed medium voltage line design specification which can be adopted are built, the rationality of current error data on a current and voltage receiving path of the power distribution network is judged, when the current error data is located between the current and voltage basic data of the power distribution network, the current and voltage basic data of the current error data are used as the maximum value of the power topology error allowed by the specification of the current measured power distribution network data, the maximum value of the power topology error allowed by the specification is updated in real time to timely reflect the current error interference condition of the device, the current measured medium voltage line design specification of the power distribution network is determined by taking the maximum value of the power topology error allowed by the specification as a reference, the current and the current error maximum value allowed by the specification is subtracted from the current and voltage current received medium voltage line design specification of the power distribution network, namely the current error interference is removed, the current error is enabled to be accurate, and the measured result is enabled to be small.
In the description of the present invention, it should be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "fixed" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art in a specific case.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various equivalent changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The utility model provides a distribution network medium voltage topology analysis method based on artificial intelligence, which is characterized by comprising the following steps:
collecting current and voltage basic data of power allocation of different power transmission lines of a power distribution network, and establishing a circuit topology digital design model and detailed medium-voltage line design specifications;
the power distribution network is connected with an artificial intelligent power analysis controller through power distribution of different transmission lines, when the power distribution network does not send acquisition data to a power distribution sensor, the artificial intelligent power analysis controller collects current error data on the current and voltage receiving channels of the power distribution network in real time;
and determining the maximum value of the power topology error allowed by the specification of the power distribution network data currently measured by the power allocation sensor according to the acquired data, the detailed medium voltage line design specification and the current error data.
2. The method for analyzing medium voltage topology of a power distribution network based on artificial intelligence according to claim 1, wherein the method for determining the maximum value of the power topology error allowed by the specification comprises the following steps:
if the current error data is located between the acquired data and a detailed medium voltage line design specification, taking the current error data as the maximum value of the power topology error allowed by the specification;
if the current error data is smaller than or equal to the acquired data, taking the acquired data as the maximum value of the power topological structure error allowed by the specification;
and if the current error data is greater than or equal to the detailed medium voltage line design specification, subtracting the acquired standard data normalization value from the detailed medium voltage line design specification to obtain the maximum value of the error of the power topological structure allowed by the specification.
3. The artificial intelligence based medium voltage topology analysis method of a power distribution network of claim 1, further comprising the steps of:
and determining the number of times of power distribution network data currently measured by the power allocation sensor according to the maximum value of the power topological structure error allowed by the specification and the received medium voltage line design specification currently received by the power distribution network current and voltage.
4. The artificial intelligence based medium voltage topology analysis method of a power distribution network according to claim 3, wherein the method for determining the number of times of the power distribution network data currently measured by the power distribution sensor is as follows:
if the current and voltage of the power distribution network are smaller than the maximum value of the power topological structure error allowed by the specification, the power data topological structure analysis fails;
and if the current and voltage of the power distribution network are greater than or equal to the maximum value of the power topological structure error allowed by the standard, the number of times of the power distribution network data currently measured by the power allocation sensor is the maximum value of the power topological structure error allowed by the standard subtracted from the current and voltage of the power distribution network.
5. The method for analyzing the medium voltage topology of the power distribution network based on artificial intelligence according to claim 1, wherein the step of the artificial intelligence power analysis controller collecting the current error data on the current and voltage receiving channels of the power distribution network in real time is specifically as follows:
and acquiring a plurality of error data received by the current and the voltage of the power distribution network in real time, and alternately performing a Kalman filtering algorithm and a Gaussian filtering algorithm according to the plurality of error data to obtain the current error data on the current and the voltage receiving channels of the power distribution network.
6. An artificial intelligence based medium voltage topology analysis system for a power distribution network, comprising:
the power distribution network data acquisition unit is used for acquiring current and voltage basic data of power distribution network power allocation of different power transmission lines, and establishing a circuit topology digital design model and a detailed medium-voltage line design specification which can be adopted;
the real-time error acquisition unit is used for connecting an artificial intelligent power analysis controller to the power distribution network through power distribution of different power transmission lines, and the artificial intelligent power analysis controller acquires current error data on a current and voltage receiving channel of the power distribution network in real time when the power distribution network does not send acquisition data to a power distribution sensor through the different power transmission lines;
and the standard allowed power topological structure error maximum value acquisition module is used for determining the standard allowed power topological structure error maximum value of the power distribution network data currently measured by the power allocation sensor according to the acquired data, the detailed medium voltage line design standard and the current error data.
7. The system for analyzing medium voltage topology of a power distribution network based on artificial intelligence of claim 6, wherein the maximum value collection module of the power topology error allowed by the specification is specifically configured to:
if the current error data is located between the acquired data and a detailed medium voltage line design specification, taking the current error data as the maximum value of the power topology error allowed by the specification;
if the current error data is smaller than or equal to the acquired data, taking the acquired data as the maximum value of the power topological structure error allowed by the specification;
and if the current error data is greater than or equal to the detailed medium voltage line design specification, subtracting the acquired standard data normalization value from the detailed medium voltage line design specification to obtain the maximum value of the error of the power topological structure allowed by the specification.
8. The artificial intelligence based power distribution network medium voltage topology analysis system of claim 6, further comprising:
and the current distribution network measurement determining module is used for determining the number of times of the distribution network data currently measured by the power allocation sensor according to the maximum value of the power topological structure error allowed by the specification and the design specification of the current and voltage currently received receiving medium-voltage circuit of the distribution network.
9. The artificial intelligence based power distribution network medium voltage topology analysis system of claim 7, wherein the current power distribution network measurement determination module is specifically configured to:
if the current and voltage of the power distribution network are smaller than the maximum value of the power topological structure error allowed by the specification, the power data topological structure analysis fails;
and if the current and voltage of the power distribution network are greater than or equal to the maximum value of the power topological structure error allowed by the standard, the number of times of the power distribution network data currently measured by the power allocation sensor is the maximum value of the power topological structure error allowed by the standard subtracted from the current and voltage of the power distribution network.
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