CN116054400A - Load on-line monitoring method, system and storage medium for power distribution network - Google Patents

Load on-line monitoring method, system and storage medium for power distribution network Download PDF

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Publication number
CN116054400A
CN116054400A CN202310018114.8A CN202310018114A CN116054400A CN 116054400 A CN116054400 A CN 116054400A CN 202310018114 A CN202310018114 A CN 202310018114A CN 116054400 A CN116054400 A CN 116054400A
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power parameter
preset
load
time
value
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Inventor
杨林
周蠡
孙利平
徐灵风
马莉
熊一
高晓晶
贺兰菲
舒思睿
陈然
李智威
周英博
乔诗慧
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Economic and Technological Research Institute of State Grid Hubei Electric Power Co Ltd
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Economic and Technological Research Institute of State Grid Hubei Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management

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  • Power Engineering (AREA)
  • Human Computer Interaction (AREA)
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Abstract

The invention relates to a load on-line monitoring method, a system and a storage medium of a power distribution network, wherein the method comprises the steps of obtaining historical power parameter information of the power distribution network in a target area in a set time period and calculating the load grade of the power distribution network in the target area; acquiring real-time power parameter information of the power distribution network, calculating corresponding real-time power parameter values according to the real-time power parameter information after signal processing, and determining whether to trigger an early warning condition; when the early warning condition is triggered, the time corresponding to the triggering early warning condition is taken as a starting point, and overload early warning information is generated according to the preset monitoring period time and the real-time power parameter information in the preset monitoring period number. By dividing the load levels of the power distribution network in the target area, accurately judging whether to trigger the early warning condition according to the power parameter threshold corresponding to the load levels, and accurately generating overload early warning information when the early warning condition is triggered, the early warning precision is greatly improved, and misjudgment when the power parameter of the power distribution network locally fluctuates is greatly reduced.

Description

Load on-line monitoring method, system and storage medium for power distribution network
Technical Field
The invention relates to the technical field of power distribution network monitoring, in particular to a method, a system and a storage medium for monitoring load of a power distribution network on line.
Background
The distribution network is a power network which receives electric energy from a power transmission network or a regional power plant, distributes the electric energy to various users in situ through a distribution facility or distributes the electric energy to various users step by step according to voltage, and is composed of overhead lines, cables, towers, distribution transformers, isolating switches, reactive compensators, a plurality of auxiliary facilities and the like, and plays an important role in distributing the electric energy in the power network. The normal operation of the power distribution network is related to each link in work, life and production, so that monitoring of the power distribution network is important in order to ensure the normal operation of the power distribution network. In the prior art, most of monitoring on a power distribution network is to monitor whether the power parameter of the power distribution network exceeds a corresponding preset threshold value, however, in practice, due to the influence of load change, circuit environment and the like, the power parameter tends to fluctuate, so that the mode is simply relied on to be not accurate enough, misjudgment is easily caused, and considerable challenges are brought to the monitoring on the power distribution network.
Disclosure of Invention
The invention aims to solve the technical problem of providing a load on-line monitoring method, a system and a storage medium for a power distribution network aiming at the defects in the prior art.
The technical scheme for solving the technical problems is as follows: the load on-line monitoring method of the power distribution network comprises the following steps:
s1: acquiring historical power parameter information of a power distribution network in a target area within a set time period, and calculating the load grade of the power distribution network in the target area according to the historical power parameter information;
s2: acquiring real-time power parameter information of a power distribution network, and performing signal processing on the real-time power parameter information;
s3: calculating a corresponding real-time power parameter value according to the real-time power parameter information after signal processing, and determining whether to trigger an early warning condition according to the real-time power parameter value and a power parameter threshold corresponding to the load level;
s4: when the early warning condition is triggered, the time corresponding to the triggering of the early warning condition is taken as a starting point, and overload early warning information is generated according to the real-time power parameter information in the preset monitoring period time and the preset monitoring period number.
The beneficial effects of the invention are as follows: according to the load on-line monitoring method for the power distribution network, the load grade of the power distribution network in the target area is divided through the historical power parameter information, whether the early warning condition is triggered or not is accurately judged according to the real-time circuit parameter information and the power parameter threshold corresponding to the load grade, overload early warning information is accurately generated when the early warning condition is triggered, the power parameter change condition of the power distribution network can be reflected through the real-time power parameter information in the preset monitoring period number, early warning accuracy is greatly improved, misjudgment when the power parameter of the power distribution network locally fluctuates is greatly reduced, load on-line monitoring of the power distribution network can be effectively achieved, and normal operation of the power distribution network is guaranteed.
Based on the technical scheme, the invention can also be improved as follows:
further: the calculating the load level of the power distribution network in the target area according to the historical power parameter information specifically comprises the following steps:
s11: sampling the historical power parameter information, calculating a corresponding historical power parameter value, comparing the historical power parameter value with a preset corresponding power parameter threshold range, and entering S12 when the historical power parameter value exceeds the corresponding power parameter threshold;
s12: calculating a deviation value between the historical power parameter value and a corresponding power parameter threshold value, and generating a historical power parameter deviation curve;
s13: determining the change rate of the historical power parameter deviation values according to the historical power parameter deviation curve, and entering S14 when the change rate of any historical power parameter deviation value exceeds a corresponding power parameter deviation change rate threshold;
s14: and calculating the variance of the variation rate of the historical power parameter deviation value, and determining the load grade according to the variance and a preset variance grade comparison table.
The beneficial effects of the above-mentioned further scheme are: and determining deviation values of the historical power parameter values when the historical power parameter values exceed a preset corresponding power parameter threshold range, and reflecting the power parameter change condition of the power distribution network according to the variance of the change rate of the historical power parameter deviation values, so that the overload condition of the existing power grid in the current sub-partition can be represented, and corresponding load levels are determined, so that whether the early warning condition is triggered or not can be accurately judged according to the power parameter thresholds corresponding to different load levels.
Further: the step of determining whether to trigger an early warning condition according to the real-time power parameter value and the power parameter threshold corresponding to the load level specifically comprises the following steps:
s31: comparing the real-time power parameter value after signal processing with a corresponding first preset power parameter threshold, and entering S32 when the real-time power parameter value is greater than the corresponding first preset power parameter threshold:
s32: judging whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds the corresponding preset time threshold value, if so, determining to trigger the early warning condition, otherwise, not triggering.
The beneficial effects of the above-mentioned further scheme are: by judging whether the real-time power parameter value is larger than the corresponding first preset power parameter threshold value or not and whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds the corresponding preset time threshold value or not, the fluctuation condition of the real-time power parameter value can be reflected more accurately, false triggering caused by instant impact is avoided, and early warning precision is improved.
Further: the generating overload early warning information according to the real-time power parameter information in the preset monitoring period time and the preset monitoring period number specifically comprises the following steps:
s41: reading a corresponding power parameter average value according to the real-time power parameter information of the preset monitoring period number, and entering S42 when all the power parameter average values are smaller than a corresponding second preset power parameter threshold value, otherwise, generating overload alarm information;
s42: calculating a load overload factor according to the power parameter average value;
s43: determining the load overload level of the power distribution network according to the load overload factor and a preset overload early warning level comparison table;
s44: acquiring attribute information of the power distribution network, and generating overload early warning information according to the load overload grade and the attribute information;
the first preset power parameter threshold values are respectively smaller than the corresponding second preset power parameter threshold values.
The beneficial effects of the above-mentioned further scheme are: the power parameter average value is compared with the corresponding second preset power parameter threshold value, when the power parameter average value exceeds the corresponding second preset power parameter threshold value, the real-time power parameter value of the power distribution network is shown to be seriously beyond the set range, serious abnormality occurs, alarm information is directly generated, so that measures are taken by the power department at the first time, when the power parameter average value is smaller than the corresponding second preset power parameter threshold value and larger than the first preset power parameter threshold value, overload early warning information is generated by determining a load overload factor and combining the load overload grade, and the power department can conveniently and efficiently monitor in real time and accurately so as to accurately and timely process when the power parameter of the power distribution network is abnormal.
Further: the calculating the load overload factor according to the power parameter average value specifically comprises the following steps:
calculating the difference value between the average value of the power parameters and the corresponding second preset power parameter threshold value;
determining the load overload factor according to a preset correction factor and the difference value;
Figure BDA0004040696170000041
Figure BDA0004040696170000042
wherein X is 0 For the second preset power parameter threshold value, X ij For the power parameter monitoring value corresponding to the ith monitoring point in the jth monitoring period, deltaX ij For the difference between the second preset power parameter threshold and the power parameter average value, r is a correction factor, deltaX is a preset deviation threshold between the second preset power parameter threshold and the power parameter average value, l V Is a load overload factor.
The beneficial effects of the above-mentioned further scheme are: and the load overload factor is accurately calculated through the difference value between the average value of the power parameters and the corresponding second preset power parameter threshold value and the preset correction factor, so that the load overload level of the power distribution network is conveniently determined according to the load overload factor and the preset overload early warning level comparison table, and the power department can conveniently know the real-time load condition of the power distribution network in time.
The invention also provides a load on-line monitoring system of the power distribution network, which comprises a load grade module, a signal processing module, a calculation judging module and an early warning module;
the load grade module is used for acquiring historical power parameter information of the power distribution network in the target area in a set time period and calculating the load grade of the power distribution network in the target area according to the historical power parameter information;
the signal processing module is used for acquiring real-time power parameter information of the power distribution network and performing signal processing on the real-time power parameter information;
the calculation judging module is used for calculating a corresponding real-time power parameter value according to the real-time power parameter information after signal processing and determining whether to trigger an early warning condition according to the real-time power parameter value and a power parameter threshold corresponding to the load level;
and the early warning module is used for generating overload early warning information according to the real-time power parameter information in the preset monitoring period time and the preset monitoring period number by taking the time corresponding to the triggering of the early warning condition as a starting point when the early warning condition is triggered.
According to the load on-line monitoring system for the power distribution network, the load grade of the power distribution network in the target area is divided through the historical power parameter information, whether the early warning condition is triggered or not is accurately judged according to the real-time circuit parameter information and the power parameter threshold corresponding to the load grade, overload early warning information is accurately generated when the early warning condition is triggered, the power parameter change condition of the power distribution network can be reflected through the real-time power parameter information in the preset monitoring period number, the early warning precision is greatly improved, the misjudgment when the power parameter of the power distribution network locally fluctuates is greatly reduced, the load on-line monitoring of the power distribution network can be effectively realized, and the normal operation of the power distribution network is guaranteed.
Based on the technical scheme, the invention can also be improved as follows:
further: the load grade module calculates the specific implementation of the load grade of the power distribution network in the target area according to the historical power parameter information as follows:
sampling the historical power parameter information, calculating a corresponding historical power parameter value, comparing the historical power parameter value with a preset corresponding power parameter threshold range, calculating a deviation value between the historical power parameter value and the corresponding power parameter threshold when the historical power parameter value exceeds the corresponding power parameter threshold, and generating a historical power parameter deviation curve;
and determining the change rate of the historical power parameter deviation value according to the historical power parameter deviation curve, calculating the variance of the change rate of the historical power parameter deviation value when the change rate of any historical power parameter deviation value exceeds a corresponding power parameter deviation change rate threshold, and determining the load grade according to the variance and a preset variance grade comparison table.
The beneficial effects of the above-mentioned further scheme are: and determining deviation values of the historical power parameter values when the historical power parameter values exceed a preset corresponding power parameter threshold range, and reflecting the power parameter change condition of the power distribution network according to the variance of the change rate of the historical power parameter deviation values, so that the overload condition of the existing power grid in the current sub-partition can be represented, and corresponding load levels are determined, so that whether the early warning condition is triggered or not can be accurately judged according to the power parameter thresholds corresponding to different load levels.
Further: the calculation judging module determines whether to trigger the specific implementation of the early warning condition according to the real-time power parameter value and the power parameter threshold corresponding to the load level, wherein the specific implementation is as follows:
comparing the real-time power parameter value after signal processing with a corresponding first preset power parameter threshold value, judging whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds a corresponding preset time threshold value when the real-time power parameter value is larger than the corresponding first preset power parameter threshold value, if so, determining to trigger the early warning condition, otherwise, not triggering.
The beneficial effects of the above-mentioned further scheme are: by judging whether the real-time power parameter value is larger than the corresponding first preset power parameter threshold value or not and whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds the corresponding preset time threshold value or not, the fluctuation condition of the real-time power parameter value can be reflected more accurately, false triggering caused by instant impact is avoided, and early warning precision is improved.
Further: the specific implementation of the overload early warning information generated by the early warning module according to the real-time power parameter information in the preset monitoring period time and the preset monitoring period number is as follows:
reading a corresponding power parameter average value according to the real-time power parameter information of the preset monitoring period number, and calculating a load overload factor according to the power parameter average value when all the power parameter average values are smaller than a corresponding second preset power parameter threshold value, otherwise, generating overload alarm information;
determining the load overload level of the power distribution network according to the load overload factor and a preset overload early warning level comparison table;
acquiring attribute information of the power distribution network, and generating overload early warning information according to the load overload grade and the attribute information;
the first preset power parameter threshold values are respectively smaller than the corresponding second preset power parameter threshold values.
The beneficial effects of the above-mentioned further scheme are: the power parameter average value is compared with the corresponding second preset power parameter threshold value, when the power parameter average value exceeds the corresponding second preset power parameter threshold value, the real-time power parameter value of the power distribution network is shown to be seriously beyond the set range, serious abnormality occurs, alarm information is directly generated, so that measures are taken by the power department at the first time, when the power parameter average value is smaller than the corresponding second preset power parameter threshold value and larger than the first preset power parameter threshold value, overload early warning information is generated by determining a load overload factor and combining the load overload grade, and the power department can conveniently and efficiently monitor in real time and accurately so as to accurately and timely process when the power parameter of the power distribution network is abnormal.
The invention also provides a computer readable storage medium, which is characterized in that the computer readable storage medium stores computer instructions, and the computer instructions are used for realizing the load on-line monitoring method of the power distribution network when being executed by a processor.
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Fig. 1 is a flow chart of a load on-line monitoring method of a power distribution network according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of an on-line load monitoring system for a power distribution network according to an embodiment of the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
As shown in fig. 1, a load on-line monitoring method of a power distribution network includes the following steps:
s1: acquiring historical power parameter information of a power distribution network in a target area within a set time period, and calculating the load grade of the power distribution network in the target area according to the historical power parameter information;
s2: acquiring real-time power parameter information of a power distribution network, and performing signal processing on the real-time power parameter information;
s3: calculating a corresponding real-time power parameter value according to the real-time power parameter information after signal processing, and determining whether to trigger an early warning condition according to the real-time power parameter value and a power parameter threshold corresponding to the load level;
s4: when the early warning condition is triggered, the time corresponding to the triggering of the early warning condition is taken as a starting point, and overload early warning information is generated according to the real-time power parameter information in the preset monitoring period time and the preset monitoring period number.
According to the load on-line monitoring method for the power distribution network, the load grade of the power distribution network in the target area is divided through the historical power parameter information, whether the early warning condition is triggered or not is accurately judged according to the real-time circuit parameter information and the power parameter threshold corresponding to the load grade, overload early warning information is accurately generated when the early warning condition is triggered, the power parameter change condition of the power distribution network can be reflected through the real-time power parameter information in the preset monitoring period number, early warning accuracy is greatly improved, misjudgment when the power parameter of the power distribution network locally fluctuates is greatly reduced, load on-line monitoring of the power distribution network can be effectively achieved, and normal operation of the power distribution network is guaranteed.
In one or more embodiments of the present invention, the calculating the load level of the power distribution network in the target area according to the historical power parameter information specifically includes the following steps:
s11: sampling the historical power parameter information, calculating a corresponding historical power parameter value, comparing the historical power parameter value with a preset corresponding power parameter threshold range, and entering S12 when the historical power parameter value exceeds the corresponding power parameter threshold;
s12: calculating a deviation value between the historical power parameter value and a corresponding power parameter threshold value, and generating a historical power parameter deviation curve;
s13: determining the change rate of the historical power parameter deviation values according to the historical power parameter deviation curve, and entering S14 when the change rate of any historical power parameter deviation value exceeds a corresponding power parameter deviation change rate threshold;
s14: and calculating the variance of the variation rate of the historical power parameter deviation value, and determining the load grade according to the variance and a preset variance grade comparison table.
And determining deviation values of the historical power parameter values when the historical power parameter values exceed a preset corresponding power parameter threshold range, and reflecting the power parameter change condition of the power distribution network according to the variance of the change rate of the historical power parameter deviation values, so that the overload condition of the existing power grid in the current sub-partition can be represented, and corresponding load levels are determined, so that whether the early warning condition is triggered or not can be accurately judged according to the power parameter thresholds corresponding to different load levels.
In the embodiment of the present invention, the load levels are divided into five levels, and the variance level comparison table is shown in the following table 1:
TABLE 1
Variance of Load class
[0,1.5] A first part
(1.5,2.3] Two (II)
(2.3,4.1] Three kinds of
(4.1,5] Fourth, fourth
Greater than 5 Five kinds of
In one or more embodiments of the present invention, the determining whether to trigger the early warning condition according to the real-time power parameter value and the power parameter threshold corresponding to the load level specifically includes the following steps:
s31: comparing the real-time power parameter value after signal processing with a corresponding first preset power parameter threshold, and entering S32 when the real-time power parameter value is greater than the corresponding first preset power parameter threshold:
s32: judging whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds the corresponding preset time threshold value, if so, determining to trigger the early warning condition, otherwise, not triggering.
By judging whether the real-time power parameter value is larger than the corresponding first preset power parameter threshold value or not and whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds the corresponding preset time threshold value or not, the fluctuation condition of the real-time power parameter value can be reflected more accurately, false triggering caused by instant impact is avoided, and early warning precision is improved.
In one or more embodiments of the present invention, the generating overload warning information according to the real-time power parameter information within the preset monitoring period time and the preset monitoring period number specifically includes the following steps:
s41: reading a corresponding power parameter average value according to the real-time power parameter information of the preset monitoring period number, and entering S42 when all the power parameter average values are smaller than a corresponding second preset power parameter threshold value, otherwise, generating overload alarm information;
s42: calculating a load overload factor according to the power parameter average value;
s43: determining the load overload level of the power distribution network according to the load overload factor and a preset overload early warning level comparison table;
s44: acquiring attribute information of the power distribution network, and generating overload early warning information according to the load overload grade and the attribute information;
the first preset power parameter threshold values are respectively smaller than the corresponding second preset power parameter threshold values.
The power parameter average value is compared with the corresponding second preset power parameter threshold value, when the power parameter average value exceeds the corresponding second preset power parameter threshold value, the real-time power parameter value of the power distribution network is shown to be seriously beyond the set range, serious abnormality occurs, alarm information is directly generated, so that measures are taken by the power department at the first time, when the power parameter average value is smaller than the corresponding second preset power parameter threshold value and larger than the first preset power parameter threshold value, overload early warning information is generated by determining a load overload factor and combining the load overload grade, and the power department can conveniently and efficiently monitor in real time and accurately so as to accurately and timely process when the power parameter of the power distribution network is abnormal.
In the embodiment of the invention, 10 discontinuous periods are randomly selected, the middle time span of the 10 periods is not less than 10 minutes, the duration of each period is 5 seconds, the average value of each power parameter is calculated, and the average value is compared with a corresponding second preset power parameter threshold value, so that overload alarm information or overload early warning information is further generated.
Specifically, in one or more embodiments of the present invention, the calculating the load overload factor according to the power parameter average value specifically includes the following steps:
s421: calculating the difference value between the average value of the power parameters and the corresponding second preset power parameter threshold value;
s422: determining the load overload factor according to a preset correction factor and the difference value;
Figure BDA0004040696170000111
Figure BDA0004040696170000112
wherein X is 0 For the second preset power parameter threshold value, X ij For the power parameter monitoring value corresponding to the ith monitoring point in the jth monitoring period, deltaX ij For the difference between the second preset power parameter threshold and the power parameter average value, r is a correction factor, deltaX is a preset deviation threshold between the second preset power parameter threshold and the power parameter average value, l V Is a load overload factor.
And the load overload factor is accurately calculated through the difference value between the average value of the power parameters and the corresponding second preset power parameter threshold value and the preset correction factor, so that the load overload level of the power distribution network is conveniently determined according to the load overload factor and the preset overload early warning level comparison table, and the power department can conveniently know the real-time load condition of the power distribution network in time.
As shown in fig. 2, the invention also provides a load on-line monitoring system of the power distribution network, which comprises a load grade module, a signal processing module, a calculation judging module and an early warning module;
the load grade module is used for acquiring historical power parameter information of the power distribution network in the target area in a set time period and calculating the load grade of the power distribution network in the target area according to the historical power parameter information;
the signal processing module is used for acquiring real-time power parameter information of the power distribution network and performing signal processing on the real-time power parameter information;
the calculation judging module is used for calculating a corresponding real-time power parameter value according to the real-time power parameter information after signal processing and determining whether to trigger an early warning condition according to the real-time power parameter value and a power parameter threshold corresponding to the load level;
and the early warning module is used for generating overload early warning information according to the real-time power parameter information in the preset monitoring period time and the preset monitoring period number by taking the time corresponding to the triggering of the early warning condition as a starting point when the early warning condition is triggered.
According to the load on-line monitoring system for the power distribution network, the load grade of the power distribution network in the target area is divided through the historical power parameter information, whether the early warning condition is triggered or not is accurately judged according to the real-time circuit parameter information and the power parameter threshold corresponding to the load grade, overload early warning information is accurately generated when the early warning condition is triggered, the power parameter change condition of the power distribution network can be reflected through the real-time power parameter information in the preset monitoring period number, the early warning precision is greatly improved, the misjudgment when the power parameter of the power distribution network locally fluctuates is greatly reduced, the load on-line monitoring of the power distribution network can be effectively realized, and the normal operation of the power distribution network is guaranteed.
In one or more embodiments of the present invention, the load level module calculates, according to the historical power parameter information, a load level of the power distribution network in the target area, by specifically implementing:
sampling the historical power parameter information, calculating a corresponding historical power parameter value, comparing the historical power parameter value with a preset corresponding power parameter threshold range, calculating a deviation value between the historical power parameter value and the corresponding power parameter threshold when the historical power parameter value exceeds the corresponding power parameter threshold, and generating a historical power parameter deviation curve;
and determining the change rate of the historical power parameter deviation value according to the historical power parameter deviation curve, calculating the variance of the change rate of the historical power parameter deviation value when the change rate of any historical power parameter deviation value exceeds a corresponding power parameter deviation change rate threshold, and determining the load grade according to the variance and a preset variance grade comparison table.
And determining deviation values of the historical power parameter values when the historical power parameter values exceed a preset corresponding power parameter threshold range, and reflecting the power parameter change condition of the power distribution network according to the variance of the change rate of the historical power parameter deviation values, so that the overload condition of the existing power grid in the current sub-partition can be represented, and corresponding load levels are determined, so that whether the early warning condition is triggered or not can be accurately judged according to the power parameter thresholds corresponding to different load levels.
In one or more embodiments of the present invention, the determining, by the calculation and judgment module, whether to trigger the early warning condition according to the real-time power parameter value and the power parameter threshold corresponding to the load level is specifically implemented as follows:
comparing the real-time power parameter value after signal processing with a corresponding first preset power parameter threshold value, judging whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds a corresponding preset time threshold value when the real-time power parameter value is larger than the corresponding first preset power parameter threshold value, if so, determining to trigger the early warning condition, otherwise, not triggering.
By judging whether the real-time power parameter value is larger than the corresponding first preset power parameter threshold value or not and whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds the corresponding preset time threshold value or not, the fluctuation condition of the real-time power parameter value can be reflected more accurately, false triggering caused by instant impact is avoided, and early warning precision is improved.
In one or more embodiments of the present invention, the specific implementation of the pre-warning module for generating overload pre-warning information according to the real-time power parameter information within the preset monitoring cycle time and the preset monitoring cycle number is as follows:
reading a corresponding power parameter average value according to the real-time power parameter information of the preset monitoring period number, and calculating a load overload factor according to the power parameter average value when all the power parameter average values are smaller than a corresponding second preset power parameter threshold value, otherwise, generating overload alarm information;
determining the load overload level of the power distribution network according to the load overload factor and a preset overload early warning level comparison table;
acquiring attribute information of the power distribution network, and generating overload early warning information according to the load overload grade and the attribute information;
the first preset power parameter threshold values are respectively smaller than the corresponding second preset power parameter threshold values.
The power parameter average value is compared with the corresponding second preset power parameter threshold value, when the power parameter average value exceeds the corresponding second preset power parameter threshold value, the real-time power parameter value of the power distribution network is shown to be seriously beyond the set range, serious abnormality occurs, alarm information is directly generated, so that measures are taken by the power department at the first time, when the power parameter average value is smaller than the corresponding second preset power parameter threshold value and larger than the first preset power parameter threshold value, overload early warning information is generated by determining a load overload factor and combining the load overload grade, and the power department can conveniently and efficiently monitor in real time and accurately so as to accurately and timely process when the power parameter of the power distribution network is abnormal.
Specifically, the early warning module calculates a load overload factor according to the power parameter average value, and specifically includes the following steps:
calculating the difference value between the average value of the power parameters and the corresponding second preset power parameter threshold value;
determining the load overload factor according to a preset correction factor and the difference value;
Figure BDA0004040696170000141
/>
Figure BDA0004040696170000142
wherein X is 0 For the second preset power parameter threshold value, X ij For the power parameter monitoring value corresponding to the ith monitoring point in the jth monitoring period, deltaX ij For the difference between the second preset power parameter threshold and the power parameter average value, r is a correction factor, deltaX is a preset deviation threshold between the second preset power parameter threshold and the power parameter average value, l V Is a load overload factor.
The invention also provides a computer readable storage medium, which is characterized in that the computer readable storage medium stores computer instructions, and the computer instructions are used for realizing the load on-line monitoring method of the power distribution network when being executed by a processor.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.

Claims (10)

1. The load on-line monitoring method of the power distribution network is characterized by comprising the following steps of:
s1: acquiring historical power parameter information of a power distribution network in a target area within a set time period, and calculating the load grade of the power distribution network in the target area according to the historical power parameter information;
s2: acquiring real-time power parameter information of a power distribution network, and performing signal processing on the real-time power parameter information;
s3: calculating a corresponding real-time power parameter value according to the real-time power parameter information after signal processing, and determining whether to trigger an early warning condition according to the real-time power parameter value and a power parameter threshold corresponding to the load level;
s4: when the early warning condition is triggered, the time corresponding to the triggering of the early warning condition is taken as a starting point, and overload early warning information is generated according to the real-time power parameter information in the preset monitoring period time and the preset monitoring period number.
2. The method for on-line monitoring load of power distribution network according to claim 1, wherein the calculating the load level of the power distribution network in the target area according to the historical power parameter information specifically comprises the following steps:
s11: sampling the historical power parameter information, calculating a corresponding historical power parameter value, comparing the historical power parameter value with a preset corresponding power parameter threshold range, and entering S12 when the historical power parameter value exceeds the corresponding power parameter threshold;
s12: calculating a deviation value between the historical power parameter value and a corresponding power parameter threshold value, and generating a historical power parameter deviation curve;
s13: determining the change rate of the historical power parameter deviation values according to the historical power parameter deviation curve, and entering S14 when the change rate of any historical power parameter deviation value exceeds a corresponding power parameter deviation change rate threshold;
s14: and calculating the variance of the variation rate of the historical power parameter deviation value, and determining the load grade according to the variance and a preset variance grade comparison table.
3. The method for on-line monitoring load of a power distribution network according to claim 1, wherein the determining whether to trigger the early warning condition according to the real-time power parameter value and the power parameter threshold corresponding to the load class specifically comprises the following steps:
s31: comparing the real-time power parameter value after signal processing with a corresponding first preset power parameter threshold, and entering S32 when the real-time power parameter value is greater than the corresponding first preset power parameter threshold:
s32: judging whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds the corresponding preset time threshold value, if so, determining to trigger the early warning condition, otherwise, not triggering.
4. The method for on-line monitoring load of power distribution network according to claim 3, wherein the generating overload early warning information according to the real-time power parameter information within the preset monitoring cycle time and the preset monitoring cycle number specifically comprises the following steps:
s41: reading a corresponding power parameter average value according to the real-time power parameter information of the preset monitoring period number, and entering S42 when all the power parameter average values are smaller than a corresponding second preset power parameter threshold value, otherwise, generating overload alarm information;
s42: calculating a load overload factor according to the power parameter average value;
s43: determining the load overload level of the power distribution network according to the load overload factor and a preset overload early warning level comparison table;
s44: acquiring attribute information of the power distribution network, and generating overload early warning information according to the load overload grade and the attribute information;
the first preset power parameter threshold values are respectively smaller than the corresponding second preset power parameter threshold values.
5. The method for on-line monitoring load of power distribution network according to claim 4, wherein calculating load overload factor according to the average value of the power parameters comprises the following steps:
s421: calculating the difference value between the average value of the power parameters and the corresponding second preset power parameter threshold value;
s422: determining the load overload factor according to a preset correction factor and the difference value;
Figure FDA0004040696160000031
Figure FDA0004040696160000032
wherein X is 0 For the second preset power parameter threshold value, X ij For the power parameter monitoring value corresponding to the ith monitoring point in the jth monitoring period, deltaX ij For the difference between the second preset power parameter threshold and the power parameter average value, r is a correction factor, deltaX is a preset deviation threshold between the second preset power parameter threshold and the power parameter average value, l V Is a load overload factor.
6. The load on-line monitoring system of the power distribution network is characterized by comprising a load grade module, a signal processing module, a calculation judging module and an early warning module;
the load grade module is used for acquiring historical power parameter information of the power distribution network in the target area in a set time period and calculating the load grade of the power distribution network in the target area according to the historical power parameter information;
the signal processing module is used for acquiring real-time power parameter information of the power distribution network and performing signal processing on the real-time power parameter information;
the calculation judging module is used for calculating a corresponding real-time power parameter value according to the real-time power parameter information after signal processing and determining whether to trigger an early warning condition according to the real-time power parameter value and a power parameter threshold corresponding to the load level;
and the early warning module is used for generating overload early warning information according to the real-time power parameter information in the preset monitoring period time and the preset monitoring period number by taking the time corresponding to the triggering of the early warning condition as a starting point when the early warning condition is triggered.
7. The system for on-line monitoring of load of power distribution network according to claim 6, wherein the load level module calculates the load level of the power distribution network in the target area according to the historical power parameter information by:
sampling the historical power parameter information, calculating a corresponding historical power parameter value, comparing the historical power parameter value with a preset corresponding power parameter threshold range, calculating a deviation value between the historical power parameter value and the corresponding power parameter threshold when the historical power parameter value exceeds the corresponding power parameter threshold, and generating a historical power parameter deviation curve;
and determining the change rate of the historical power parameter deviation value according to the historical power parameter deviation curve, calculating the variance of the change rate of the historical power parameter deviation value when the change rate of any historical power parameter deviation value exceeds a corresponding power parameter deviation change rate threshold, and determining the load grade according to the variance and a preset variance grade comparison table.
8. The system for on-line monitoring of loads on a power distribution network according to claim 6, wherein the calculation and judgment module determines whether to trigger the specific implementation of the early warning condition according to the real-time power parameter value and the power parameter threshold corresponding to the load level is as follows:
comparing the real-time power parameter value after signal processing with a corresponding first preset power parameter threshold value, judging whether the duration time of the real-time power parameter value larger than the corresponding first preset power parameter threshold value exceeds a corresponding preset time threshold value when the real-time power parameter value is larger than the corresponding first preset power parameter threshold value, if so, determining to trigger the early warning condition, otherwise, not triggering.
9. The system for on-line monitoring of load of power distribution network according to claim 8, wherein the pre-warning module generates overload pre-warning information according to the real-time power parameter information within a preset monitoring period time and a preset monitoring period number, which is specifically implemented as follows:
reading a corresponding power parameter average value according to the real-time power parameter information of the preset monitoring period number, and calculating a load overload factor according to the power parameter average value when all the power parameter average values are smaller than a corresponding second preset power parameter threshold value, otherwise, generating overload alarm information;
determining the load overload level of the power distribution network according to the load overload factor and a preset overload early warning level comparison table;
acquiring attribute information of the power distribution network, and generating overload early warning information according to the load overload grade and the attribute information;
the first preset power parameter threshold values are respectively smaller than the corresponding second preset power parameter threshold values.
10. A computer readable storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to implement the load on-line monitoring method of the power distribution network according to any one of claims 1-5 when executed.
CN202310018114.8A 2023-01-06 2023-01-06 Load on-line monitoring method, system and storage medium for power distribution network Pending CN116054400A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117474202A (en) * 2023-10-30 2024-01-30 国网山东省电力公司电力科学研究院 Analysis method and analysis system based on electric power big data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117474202A (en) * 2023-10-30 2024-01-30 国网山东省电力公司电力科学研究院 Analysis method and analysis system based on electric power big data
CN117474202B (en) * 2023-10-30 2024-04-26 国网山东省电力公司电力科学研究院 Analysis method and analysis system based on electric power big data

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