CN-122000886-A - Multi-dimensional state sensing and intelligent operation and maintenance decision method and system for power distribution network

CN122000886ACN 122000886 ACN122000886 ACN 122000886ACN-122000886-A

Abstract

The invention discloses a multi-dimensional state sensing and intelligent operation and maintenance decision method and system of a power distribution network, and relates to the technical field of intelligent monitoring and operation and maintenance of power systems. The invention realizes millisecond sensing and accurate identification of the burst process of high-power equipment by constructing the transient energy tracing band and the energy mutation fingerprint, establishes the energy convergence judging band and the antagonism threshold window, actively suppresses energy transmission and slowly releases current impact at the burst moment, and ensures that the energy distribution of the power distribution network is controlled, the node voltage is stable, and the operation safety and the response reliability are improved.

Inventors

WU WEI
GAO YUE
XU XUQIN
LI RUI
DENG CHENG

Assignees

安徽粮食工程职业学院

Dates

Publication Date: 20260508
Application Date: 20260210

Claims (10)

1. The multi-dimensional state sensing and intelligent operation and maintenance decision method for the power distribution network is characterized by comprising the following steps of: Constructing a transient energy tracing band in the dynamic load transfer process of the power distribution network, continuously recording voltage waveforms, current jumps and power reverse fold changes of high-power equipment at the moment of disconnection and reconnection through high-frequency sampling, and forming an energy mutation fingerprint; Extracting a power backflow time sequence track based on the energy mutation fingerprint, continuously separating a power dip segment from a power rebound segment in a transient energy trace band, generating a transient reverse fold list, and calibrating a load burst starting point and a termination boundary; Establishing an energy convergence judging belt according to the transient reverse folding list, and synchronously embedding voltage drop amplitude data, current impact data and time delay data in a burst-back boundary into the judging belt to form a continuous fluctuation chain; applying phase forward pressing pulse at the burst triggering moment by using the continuous fluctuation chain to lay an energy antagonism threshold window, and limiting the energy burst propagation range to form a response frame; and carrying out trace dislocation translation on the response time sequence of each node in the continuous fluctuation chain according to the energy antagonism threshold window, so that the current pulse is absorbed and dispersed point by point along the energy flow direction, and the energy impact is attenuated step by step in space.
2. The multi-dimensional state sensing and intelligent operation and maintenance decision method of a power distribution network according to claim 1, wherein the energy mutation fingerprint forming step comprises the following steps: In a dynamic load transfer stage of the power distribution network, presetting and synchronous triggering of a high-frequency sampling channel are carried out on key nodes containing high-power equipment, and voltage waveforms, current jumps and power change processes are continuously recorded with time resolution, so that an original data sequence of an energy tracing band is formed; After high-frequency sampling is completed, carrying out relevance analysis on voltage waveforms, current transitions and power reverse folding trends in the same time window, and uniformly mapping the voltage waveforms, the current transitions and the power reverse folding trends on a time axis, so that an energy tracing band forms a continuous track in a time dimension; In the formed energy tracing band, taking a power inflection point as a characteristic anchor point, tracking a voltage falling trend and a current jump process, and determining the occurrence time and duration of energy mutation; After the energy mutation features are determined, key feature fragments are integrated according to mutation time points to generate energy mutation fingerprints, and the energy mutation fingerprints are embedded into an energy tracing band time axis.
3. The multi-dimensional state sensing and intelligent operation and maintenance decision method of the power distribution network according to claim 2, wherein in the process of generating the energy abrupt change fingerprint, the transient drop amplitude of the voltage waveform, the amplitude gradient of the current jump and the time delay of the power inflection are taken as core characteristics and are sequentially arranged according to the energy flowing direction, so that the energy abrupt change fingerprint forms a continuous characteristic chain on a time axis.
4. The method for multi-dimensional state sensing and intelligent operation and maintenance decision-making of a power distribution network according to claim 2, wherein the step of generating the transient reverse fold list is as follows: in the generated transient energy trace band, taking a time reference determined in the energy mutation fingerprint as a starting point, continuously scanning the whole course change of the power waveform for a time, and extracting the dynamic trend of the power curve in the time dimension; After the power curve scanning is completed, carrying out trend decomposition on the power curve in the trace band, identifying the energy boundary of the power dip segment and the power rebound segment, and keeping the continuous connection of the two segments on a time axis; After the power dip segment and the power rebound segment are determined, continuously tracking a transition interval between the two segments, extracting a time sequence track of power reflux, and taking a power inflection point as a center reference of an energy flow direction; after the power backflow time sequence track is formed, the time ranges of the slump segments and the rebound segments are used as reference intervals, a transient reverse-folding list is constructed, the load abrupt-return points and the termination boundaries are calibrated, and a constraint range is provided for energy mapping.
5. The method for multi-dimensional state sensing and intelligent operation and maintenance decision-making of a power distribution network according to claim 4, wherein in the process of constructing a transient reverse fold list, a power reverse fold point is used as a central node of energy burst, a power collapse starting point, a power rebound inflection point and a power recovery ending point are recorded according to time sequence, and a voltage waveform, a current jump amplitude and a power reverse fold amplitude are synchronously embedded into the transient reverse fold list.
6. The method for multi-dimensional state sensing and intelligent operation and maintenance decision-making of a power distribution network according to claim 4, wherein the continuous wave chain forming step comprises the following steps: according to the generated transient reverse folding list, synchronously calling the power dip segment and the power rebound segment, and taking a sudden return starting point and a sudden return termination boundary as a construction section of an energy convergence judging band to enable power, voltage and current changes to be unfolded within the same time scale; after the time frame of the energy convergence judging belt is determined, embedding voltage drop amplitude data in the burst-back boundary into the judging belt according to time sequence to form continuous time sequence distribution of voltage response, and marking the amplitude and time position of the voltage drop amplitude; After the voltage drop data are embedded, embedding the current impact data into the same judging belt according to time sequence, so that the voltage change and the current impact form a synchronous corresponding relation; after the voltage and current data are synchronously embedded, the time delay data are superimposed on the judgment belt to form a continuous fluctuation chain of voltage, current and power, and an accurate reference basis is provided for threshold intervention.
7. The multi-dimensional state sensing and intelligent operation and maintenance decision method for the power distribution network according to claim 6, wherein after the voltage drop data, the current impact data and the time delay data are overlapped to form a continuous fluctuation chain, the three types of data are synchronously associated in an energy convergence judging band in a time axis alignment mode, so that the drop points of voltage change, the peak points of current impact and the key points of power reverse folding form a corresponding relation in a time dimension.
8. The method for multi-dimensional state sensing and intelligent operation and maintenance decision-making of a power distribution network according to claim 6, wherein the step of applying a phase advance hold-down pulse at a burst trigger instant to limit the energy burst propagation range by using a continuous wave chain to arrange an energy antagonism threshold window comprises the steps of: On the basis of the generated continuous fluctuation chain, carrying out joint analysis on a voltage amplitude falling chain, a current impact chain and a time delay chain to determine a trigger interval and an action boundary of energy burst transmission, and defining a layout interval of an antagonistic threshold window by a burst starting point and a termination boundary; After the time interval of the energy antagonism threshold window is determined, applying a phase forward pressing pulse at the burst trigger moment according to the phase difference characteristic of the voltage and the current, so that the energy propagation direction and the inhibition direction form anti-phase coupling; After the phase forward suppression pulse is applied, carrying out local constraint on the energy transmission characteristics in the antagonism threshold window, and arranging delay response buffer areas at the two ends of the threshold window so that the energy transmission is spatially limited and gradually attenuated; after the energy antagonism threshold window completes space constraint, dynamic response coupling is carried out on the boundary of the threshold window and internal energy variation to form an energy response framework taking the antagonism threshold window as a core.
9. The method for multi-dimensional state sensing and intelligent operation and maintenance decision-making of the power distribution network according to claim 8, wherein the specific steps of performing micro dislocation translation on the response time sequence of each node in the continuous fluctuation chain according to the energy antagonism threshold window to enable the current pulse to be absorbed and dispersed point by point along the energy flow direction are as follows: determining the response time sequence distribution condition of each node in the continuous fluctuation chain within the action range of the energy antagonism threshold window, and establishing an original time sequence chain of node response by taking the central reference time of the energy antagonism threshold window as a time origin; after the node response time sequence is determined, taking the time interval of the energy antagonism threshold window as a boundary, carrying out micro dislocation translation on the response interval of adjacent nodes in the fluctuation chain, so that current pulses form step-type distribution on a time axis; After the time sequence dislocation translation of the adjacent nodes is completed, the current response of each node in the energy flow direction is continuously regulated, so that current pulses are absorbed and dispersed point by point along the energy flow direction to form an energy slow-release path; after the current pulse is absorbed and dispersed point by point along the energy flow direction, the timing sequence convergence adjustment is carried out on the fluctuation chain, so that the energy propagation process forms a stable attenuation convergence state.
10. The power distribution network multidimensional state sensing and intelligent operation and maintenance decision system for realizing the power distribution network multidimensional state sensing and intelligent operation and maintenance decision method according to any one of the claims 1-9 is characterized by comprising an energy tracing module, a burst identification module, an energy decision module, an energy antagonism module and a time sequence traction module: The energy tracing module is used for constructing a transient energy tracing band in the dynamic load transfer process of the power distribution network, continuously recording voltage waveforms, current jumps and power reverse fold changes at the moment of disconnecting and reconnecting high-power equipment through high-frequency sampling, and forming an energy mutation fingerprint; The sudden return identification module extracts a power backflow time sequence track based on the energy sudden change fingerprint, continuously separates a power sudden drop segment from a power rebound segment in a transient energy trace band, generates a transient sudden return list, and marks a load sudden return starting point and a load sudden return termination boundary; The energy judging module establishes an energy convergence judging belt according to the transient reverse folding list, and synchronously embeds voltage drop amplitude data, current impact data and time delay data in a burst-back boundary into the judging belt to form a continuous fluctuation chain; The energy antagonizing module utilizes the continuous fluctuation chain to lay an energy antagonizing threshold window, applies a phase forward pressing pulse at the moment of burst triggering, limits the energy burst transmission range and forms a response frame; And the time sequence traction module carries out micro dislocation translation on the response time sequence of each node in the continuous fluctuation chain according to the energy antagonism threshold window, so that the current pulse is absorbed and dispersed point by point along the energy flow direction, and the energy impact is attenuated step by step in space.

Description

Multi-dimensional state sensing and intelligent operation and maintenance decision method and system for power distribution network Technical Field The invention relates to the technical field of intelligent monitoring and operation and maintenance of power systems, in particular to a method and a system for sensing multidimensional state of a power distribution network and deciding intelligent operation and maintenance. Background The multi-dimensional state sensing and intelligent operation and maintenance decision of the power distribution network is to construct a panoramic and dynamic cognitive model of the running states of power distribution equipment and lines by synchronously acquiring and fusing and analyzing multi-source information such as voltage, current, temperature, humidity, load, electric energy quality, equipment vibration, partial discharge characteristics, communication signals and the like in the running process of the power distribution network and combining an industrial data processing technology. The method not only focuses on the change of a single monitoring index, but also comprehensively judges the health level and the potential risk of the system from multiple dimensions such as electrical characteristics, environmental conditions, structural stress, energy flow direction and the like. Based on the sensing result, an operation and maintenance scheduling strategy and a fault early warning instruction are generated in real time by utilizing an intelligent decision mechanism driven by knowledge reasoning and data, and a closed-loop control process from state monitoring and abnormal identification to autonomous optimization decision is realized, so that the running safety, reliability and intelligent level of the power distribution network are improved. The prior art has the following defects: In the prior art, when a power distribution network performs dynamic load transfer, a load fluctuation state is generally determined according to a voltage, current and power change curve monitored in real time, and whether to perform peak clipping, load limiting or power redistribution operation is determined according to the load fluctuation state. However, when high-power equipment (such as a large motor, a compressor, an electric heating device and the like) exists on the load side, and the equipment is quickly reconnected after instantaneous disconnection occurs in a very short time, the abnormal process is often mistakenly recognized as normal load fluctuation due to limited sampling period and judgment lag of the system monitoring layer. The load snap-back phenomenon is represented as instantaneous rebound after power dip in time sequence, the energy flow direction is reversed in short time, node voltage is suddenly dropped, current impact is obviously increased, and the distribution transformer is in a short-time overload state. Because the prior art fails to identify the implicit burst return behavior in millisecond-level response, peak clipping adjustment is not triggered in time, overcurrent protection misoperation is easy to occur, bus voltage collapse and local power supply chain interruption are even caused, and the operation safety and decision reliability of a power distribution network are seriously threatened. The above information disclosed in the background section is only for enhancement of understanding of the background of the disclosure and therefore it may include information that does not form the prior art that is already known to a person of ordinary skill in the art. Disclosure of Invention The invention aims to provide a multi-dimensional state sensing and intelligent operation and maintenance decision method and system for a power distribution network, which are used for solving the problems in the background technology. In order to achieve the purpose, the invention provides the following technical scheme that the multi-dimensional state sensing and intelligent operation and maintenance decision method of the power distribution network comprises the following steps: Constructing a transient energy tracing band in the dynamic load transfer process of the power distribution network, continuously recording voltage waveforms, current jumps and power reverse fold changes of high-power equipment at the moment of disconnection and reconnection through high-frequency sampling, and forming an energy mutation fingerprint for time reference establishment of subsequent identification; Extracting a power backflow time sequence track based on the energy mutation fingerprint, continuously separating a power dip segment from a power rebound segment in a transient energy trace band, generating a transient reverse fold list, calibrating a load burst starting point and a termination boundary, and providing a constraint range for energy mapping; establishing an energy convergence judging belt according to the transient reverse folding list, synchronously embedding voltage drop am