CN113536206B - Power distribution network area early warning method, system, terminal equipment and readable storage medium - Google Patents
Power distribution network area early warning method, system, terminal equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses a power distribution network area early warning method, a system, terminal equipment and a readable storage medium, wherein the power distribution network area early warning method comprises the following steps: acquiring multi-source fault information of a power distribution network; calculating and obtaining a current fault influence value and an induced fault influence value according to the multi-source fault information; and fusing the obtained current fault influence value and the induced fault influence value to obtain a fusion result, and realizing the early warning of the power distribution network area according to the fusion result. The early warning method disclosed by the application integrates multi-source fault information, has universality for power distribution network fault early warning and has important significance for guaranteeing safe and stable operation of the power distribution network.
Description
Technical Field
The application belongs to the technical field of power distribution network fault early warning, and particularly relates to a power distribution network area early warning method, a power distribution network area early warning system, terminal equipment and a readable storage medium.
Background
The power system is a preceding industry of a national economic system, the power distribution network is used as an important link of the power system and is used for connecting a main network with users, and the power system bears the heavy duty of transmitting electric energy to the users, and the running state of the power system directly influences the inductance of the users; in addition, the power failure not only brings huge economic loss to society, but also affects people's life, disturbs social order, and even can endanger national defense safety. According to statistics, more than 80% of power failure accidents are caused by faults of the power distribution network, so that the method has important significance in fault early warning of the power distribution network.
The existing power distribution network fault early warning method is mainly used for carrying out fault early warning according to power distribution network operation information (such as load, voltage, current and the like), real-time state consideration of the power distribution network is insufficient, information such as weather and vegetation is ignored, equipment basic information of the power distribution network is not considered, and the existing early warning method has limitations. In addition, at present, a method for carrying out early warning by calculating the current fault probability of the power distribution network according to the historical fault data of the power distribution network is also provided, and the traditional method ignores the real-time state information of the power distribution network and cannot evaluate the possibility of fault induction in the development process of the real-time state information.
In summary, the sources of the power distribution network fault information are various, the multisource fault information is fused through a reasonable method, and the power distribution network region early warning has important significance, so that the power distribution network region early warning method fused with the multisource fault information is urgently needed.
Disclosure of Invention
The application aims to provide a power distribution network area early warning method, a system, terminal equipment and a readable storage medium, so as to solve one or more technical problems. The early warning method disclosed by the application integrates multi-source fault information, has universality for power distribution network fault early warning and has important significance for guaranteeing safe and stable operation of the power distribution network.
In order to achieve the above purpose, the application adopts the following technical scheme:
the application discloses a power distribution network area early warning method, which comprises the following steps:
acquiring multi-source fault information of a power distribution network;
calculating and obtaining a current fault influence value and an induced fault influence value according to the multi-source fault information;
and fusing the obtained current fault influence value and the induced fault influence value to obtain a fusion result, and realizing the early warning of the power distribution network area according to the fusion result.
A further improvement of the present application is that the multi-source fault information comprises at least device base information and real-time status information;
wherein the apparatus comprises: transformers and overhead lines;
the device base information includes: the equipment accumulates operation time, the equipment historical operation temperature, the equipment historical fault information and the power distribution network construction standardization level;
the real-time status information includes three-phase voltage, real-time equipment temperature, transformer load, vegetation growth and weather.
The application further improves that the step of calculating and obtaining the current fault influence value according to the multi-source fault information specifically comprises the following steps:
the standard service life of the equipment is T, and the equipment service life is corrected by the following steps:
according to the historical operating temperature curve of the equipment, obtaining an average historical operating temperature Q, and comparing the average historical operating temperature Q with a standard operating temperature Q' to obtain a temperature correction coefficient f t ；
Obtaining historical fault times N according to the historical fault information of the equipment, and obtaining a fault correction coefficient f according to the historical fault times a ；
The corrected lifetime is: t' =f t f a T；
Comparing the time of operation T of all the devices in the power distribution network section Throwing in And calculating unsafe operation duration delta T=T when the equipment operation time is longer than the corrected life T' and the unsafe operation duration delta T=T Throwing in -T' to obtain a current fault impact value a = mΔt; where m is a time failure influence coefficient.
A further improvement of the present application is that after obtaining the current fault impact value, the method further includes:
if the power distribution network has the condition of irregular construction, correcting the current fault influence value, wherein the expression is as follows: a' =μa, where μ is a correction coefficient of the construction irregularity.
A further improvement of the present application is that,
wherein k (Q) is always positive, f t Is a function of the average historical operating temperature Q; f (f) t The following conditions are satisfied: when Q < Q', f t >1, a step of; when Q is>Q′，f t ＜1；
f a ＝l(N)，
Wherein f a The value of (2) is a function of the number of historical faults N, satisfying 0 < f a ＜1。
The application further improves that the step of calculating and obtaining the induced fault influence value according to the multi-source fault information specifically comprises the following steps:
for three-phase voltage, real-time temperature of equipment and transformer load, predicting current time t according to historical values by using time sequence prediction algorithm 0 Beginning to after t 0 A value within the +t' time period; for three-phase voltage, real-time temperature of equipment and transformer load, defining a dangerous interval of information values; for time interval t 0 ,t 0 +t′]When the information value in the sub-time interval is in the dangerous interval, t is obtained 0 The fault induction value I=f (n, l) at the time of +t', wherein n is the number of dangerous subintervals, and l is the length of the dangerous subintervals;
obtaining t 0 Predicting t according to natural growth rules of vegetation of each category by referring to the distance between vegetation and equipment at moment 0 The distance between vegetation and equipment at the moment +t', if the distance is smaller than a safe distance value, a vegetation correction coefficient P is given according to the specific distance;
for weather conditions, obtain at [ t ] according to weather forecast 0 ,t 0 +t′]Whether lightning stroke weather exists in the vehicle, if so, giving a weather modification coefficient W;
the corrected fault induction value is: i' =pwi.
The application further improves that the obtained current fault influence value and the induced fault influence value are fused to obtain a fusion result, and the step of realizing the early warning of the power distribution network area according to the fusion result specifically comprises the following steps:
normalizing the current fault influence value and the induced fault influence value for all the sections in the region to obtain a normalized current fault influence value A '' norm And induced failure impact value I' norm ；
Selecting A' norm In the section of the front alpha percent, sending out the current fault early warning, wherein alpha is the threshold value of the current fault early warning;
at A' norm In the first α% of the segments, I 'is selected' norm And in the section of the first beta percent, sending out fault induction early warning, wherein beta is a threshold value of the fault induction early warning.
The application relates to a power distribution network area early warning system, which comprises:
the first acquisition module is used for acquiring multi-source fault information of the power distribution network;
the second acquisition module is used for calculating and obtaining a current fault influence value and an induced fault influence value according to the multi-source fault information;
and the fusion early warning module is used for fusing the obtained current fault influence value and the induced fault influence value to obtain a fusion result, and realizing the early warning of the power distribution network area according to the fusion result.
The terminal device of the present application comprises: a processor; a memory for storing computer program instructions; when the computer program instructions are loaded and run by the processor, the processor executes the power distribution network area early warning method according to any one of the above aspects of the application.
The computer readable storage medium of the present application stores computer program instructions, and when the computer program instructions are loaded and executed by a processor, the processor executes the power distribution network area early warning method according to any one of the present application.
Compared with the prior art, the application has the following beneficial effects:
in the method, multisource fault information (preferably, equipment basic information and real-time state information) can be obtained by an information acquisition device, equipment management information and other related information paths which are arranged on a power distribution network terminal, then a multisource fault information fusion method is used for calculating to obtain a current fault influence value and an induced fault influence value, finally the current fault influence value and the induced fault influence value of each section in the area are compared according to an early warning method, and section early warning information is sent out. The application provides two fault values of the current fault influence value and the induced fault influence value, fully considers the basic information and the real-time state information of equipment in the calculation process, calculates the current fault possibility according to the historical fault data and the historical operation condition of the power distribution network, fully considers the real-time state, calculates the induced fault possibility, fuses the multi-source fault information by the early warning method, has universality for fault early warning of the power distribution network and has important significance for guaranteeing safe and stable operation of the power distribution network.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description of the embodiments or the drawings used in the description of the prior art will make a brief description; it will be apparent to those of ordinary skill in the art that the drawings in the following description are of some embodiments of the application and that other drawings may be derived from them without undue effort.
Fig. 1 is a schematic flow chart of a power distribution network area early warning method integrating multisource fault information according to an embodiment of the application;
FIG. 2 is a schematic diagram of multi-source fault information in an embodiment of the present application;
FIG. 3 is a schematic diagram of a calculation flow of a current fault impact value according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of a calculation of the induced fault impact value according to an embodiment of the present application.
Detailed Description
In order to make the purposes, technical effects and technical solutions of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application are clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application; it will be apparent that the described embodiments are some of the embodiments of the present application. Other embodiments, which may be made by those of ordinary skill in the art based on the disclosed embodiments without undue burden, are within the scope of the present application.
Referring to fig. 1, the power distribution network area early warning method integrating multi-source fault information according to the embodiment of the application includes the following steps:
acquiring multi-source fault information, including equipment basic information and real-time state information;
performing multi-source fault information fusion based on the acquired multi-source fault information to acquire a fusion result;
and carrying out power distribution network area early warning based on the fusion result.
In the embodiment of the application, multisource fault information comprising equipment basic information and real-time state information is obtained by an information acquisition device, equipment management information and other related information approaches which are installed on a power distribution network terminal, then a current fault influence value and an induced fault influence value are calculated by a multisource fault information fusion method, and finally the current fault influence value and the induced fault influence value of each section in the area are compared according to an early warning method, so that section early warning information is sent.
Referring to fig. 2, in an embodiment of the present application, multi-source fault information of a power distribution network from a certain section in an area includes:
the device basic information may specifically include: the equipment accumulates operation time, the equipment historical operation temperature, the equipment historical fault information and the power distribution network construction standardization level; the device specifically comprises: transformers and overhead lines; the construction standardization level is whether the power distribution network construction situation has an irregular phenomenon or not.
Real-time status information including three-phase voltage, real-time equipment temperature, transformer load, vegetation growth, weather.
The multi-source fault information fusion method in the embodiment of the application comprises the following steps: referring to fig. 3, the method for calculating the current fault impact value includes the following steps:
s1, reading accumulated operation time, historical operation temperature, historical fault information and construction standardization degree of the power distribution network by an information acquisition device and equipment management information of the power distribution network.
S2, the standard service life of the equipment is T, and the service life of the equipment is corrected as follows, and the method specifically comprises the following steps:
s2.1, reading a historical operating temperature curve of the equipment by a device terminal monitoring device to obtain an average historical operating temperature Q, and comparing the average historical operating temperature Q with a standard operating temperature Q' to obtain a temperature correction coefficient f t ，f t The values are as follows:
wherein k (Q) is always positive, f t Is a function of the average historical operating temperature Q, where f t The following conditions are satisfied: when Q < Q', f t >1, a step of; when Q is>Q′，f t ＜1。
S2.2, obtaining historical fault times N according to the historical fault information of the equipment, and obtaining a fault correction coefficient f according to the historical fault times a The expression is as follows:
f a ＝l(N)
wherein f α Is a function of the number of historical faults N and satisfies 0 < f a < 1, the greater N, f a The smaller the value of (2).
S2.3, the corrected service life is as follows: t' =f t f a T。
S3, comparing the operation time T of all the devices in the section Throwing in And calculating unsafe operation duration delta T=T when the equipment operation time is longer than the corrected life T' and the unsafe operation duration delta T=T Throwing in -T' to obtain a current fault impact value a = mΔt, where m is a time fault impact coefficient.
S4, if the power distribution network has a condition of irregular construction, correcting the current fault influence value: a' =μa, where μ is a correction coefficient of construction irregularity, and its value increases with the extent of irregularity.
Referring to fig. 4, in an embodiment of the present application, a method for calculating an induced fault influence value includes the following steps:
s1, reading three-phase voltage, equipment real-time temperature, transformer load, vegetation growth condition and weather condition by an information acquisition device and other information sources which are arranged on a power distribution network terminal.
S2, predicting the current time t according to the three-phase voltage, the real-time temperature of the equipment and the load of the transformer by using a time sequence prediction algorithm according to the historical value 0 Beginning to after t 0 Values within the +t' time period.
S3, defining a dangerous interval of the information value for the three real-time state information. For time interval t 0 ,t 0 +t′]When the information value exists in the dangerous interval, the information value in the sub-time interval is considered to possibly cause the power distribution network to malfunction, and t is obtained 0 The fault induction value i=f (n, l) at the +t' moment, wherein n is the number of dangerous subintervals, l is the length of the dangerous subintervals, and accordingly, the more subintervals exist, the longer the subinterval length is, the more information values cross critical points of the dangerous intervals, and the greater the fault induction value I is.
S4, for vegetation growth conditions, obtaining t 0 Predicting t according to natural growth rules of vegetation of each category by referring to the distance between vegetation and equipment at moment 0 And if the distance between the vegetation and the equipment at the moment +t' is smaller than the safe distance value, giving a vegetation correction coefficient P according to the specific distance.
S5, for weather conditions, obtaining a weather forecast value at [ t ] 0 ,t 0 +t′]And if the lightning stroke weather exists in the weather, giving a weather modification coefficient W.
S6, the corrected fault induction value is as follows:
I′＝PWI
the power distribution network area early warning method based on the fusion result in the embodiment of the application specifically comprises the following steps:
s1, normalizing the current fault influence value and the induced fault influence value for all the sections in the area to obtain a normalized current fault influence value A '' norm And induced failure impact value I' norm 。
S2 selecting A' norm And in the section of the front alpha percent, sending out the current fault early warning, wherein alpha is the threshold value of the current fault early warning.
S3 selecting I 'from the sections described in S2' norm And in the section of the first beta percent, sending out fault induction early warning, wherein beta is a threshold value for inducing fault early warning.
In summary, the embodiment of the application discloses a power distribution network area early warning method integrating multisource fault information, wherein multisource fault information is obtained through an information acquisition device, equipment management information and other related information approaches which are installed on a power distribution network terminal, the information is divided into two types of equipment basic information and real-time state information, a current fault influence value is calculated according to the equipment basic information, an induced fault influence value is calculated according to the real-time state information, the current fault influence value and the induced fault influence value are normalized and compared, and area early warning information is sent out.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above embodiments are only for illustrating the technical solution of the present application and not for limiting the same, and although the present application has been described in detail with reference to the above embodiments, one skilled in the art may make modifications and equivalents to the specific embodiments of the present application, and any modifications and equivalents not departing from the spirit and scope of the present application are within the scope of the claims of the present application.
Claims (7)
1. The power distribution network area early warning method is characterized by comprising the following steps of:
acquiring multi-source fault information of a power distribution network;
calculating and obtaining a current fault influence value and an induced fault influence value according to the multi-source fault information;
fusing the obtained current fault influence value and the induced fault influence value to obtain a fusion result, and realizing power distribution network area early warning according to the fusion result;
wherein,
the step of calculating and obtaining the current fault influence value according to the multi-source fault information specifically comprises the following steps:
the standard service life of the equipment is T, and the equipment service life is corrected by the following steps:
according to the historical operating temperature curve of the equipment, obtaining an average historical operating temperature Q, and comparing the average historical operating temperature Q with a standard operating temperature Q' to obtain a temperature correction coefficient f t ；
Obtaining historical fault times N according to the historical fault information of the equipment, and obtaining a fault correction coefficient f according to the historical fault times a ；
The corrected lifetime is: t' =f t f a T；
Comparing the time of operation T of all the devices in the power distribution network section Throwing in And calculating unsafe operation duration delta T=T when the equipment operation time is longer than the corrected life T' and the unsafe operation duration delta T=T Throwing in -T' to obtain a current fault impact value a = mΔt; wherein m is a time fault influence coefficient;
the step of calculating and obtaining the induced fault influence value according to the multi-source fault information specifically comprises the following steps:
for three-phase voltage, real-time temperature of equipment and transformer load, predicting current time t according to historical values by using time sequence prediction algorithm 0 Beginning to after t 0 A value within the +t' time period; for three-phase voltage, real-time temperature of equipment and transformer load, defining a dangerous interval of information values; for time interval t 0 ，t 0 +t′]When the information value in the sub-time interval is in the dangerous interval, t is obtained 0 The fault induction value I=f (n, l) at the time of +t', wherein n is the number of dangerous subintervals, and 1 is the length of the dangerous subintervals;
obtaining t 0 Predicting t according to natural growth rules of vegetation of each category by referring to the distance between vegetation and equipment at moment 0 The distance between vegetation and equipment at the moment +t', if the distance is smaller than a safe distance value, a vegetation correction coefficient P is given according to the specific distance;
for weather conditions, obtain at [ t ] according to weather forecast 0 ，t 0 +t′]Whether lightning stroke weather exists in the vehicle, if so, giving a weather modification coefficient W;
the corrected fault induction value is: i' =pwi;
fusing the obtained current fault influence value and the induced fault influence value to obtain a fusion result, and specifically, the step of realizing the early warning of the power distribution network area according to the fusion result comprises the following steps:
normalizing the current fault influence value and the induced fault influence value for all the sections in the region to obtain a normalized current fault influence value A '' norm And induced failure impact value I' norm ；
Selecting A' norm In the section of the front alpha percent, sending out the current fault early warning, wherein alpha is the threshold value of the current fault early warning;
at A' norm In the first α% of the segments, I 'is selected' norm And in the section of the first beta percent, sending out fault induction early warning, wherein beta is a threshold value of the fault induction early warning.
2. The power distribution network area early warning method according to claim 1, wherein the multi-source fault information at least comprises equipment basic information and real-time state information;
wherein the apparatus comprises: transformers and overhead lines;
the device base information includes: the equipment accumulates operation time, the equipment historical operation temperature, the equipment historical fault information and the power distribution network construction standardization level;
the real-time status information includes three-phase voltage, real-time equipment temperature, transformer load, vegetation growth and weather.
3. The power distribution network area early warning method according to claim 1, further comprising, after obtaining the current fault influence value:
if the power distribution network has the condition of irregular construction, correcting the current fault influence value, wherein the expression is as follows: a' =μa, where μ is a correction coefficient of the construction irregularity.
4. The power distribution network area pre-warning method according to claim 1, wherein,
wherein k (Q) is always positive, f t Is a function of the average historical operating temperature Q; f (f) t The following conditions are satisfied: when Q < Q', f t > 1; when Q > Q', f t ＜1；
f a ＝l(N)，
Wherein f a The value of (2) is a function of the number of historical faults N, satisfying 0 < f a ＜1。
5. An area early warning system of a power distribution network, comprising:
the first acquisition module is used for acquiring multi-source fault information of the power distribution network;
the second acquisition module is used for calculating and obtaining a current fault influence value and an induced fault influence value according to the multi-source fault information;
the fusion early warning module is used for fusing the obtained current fault influence value and the induced fault influence value to obtain a fusion result, and realizing the early warning of the power distribution network area according to the fusion result;
wherein,
the step of calculating and obtaining the current fault influence value according to the multi-source fault information specifically comprises the following steps:
the standard service life of the equipment is T, and the equipment service life is corrected by the following steps:
according to the historical operating temperature curve of the equipment, obtaining an average historical operating temperature Q, and comparing the average historical operating temperature Q with a standard operating temperature Q' to obtain a temperature correction coefficient f t ；
Obtaining historical fault times N according to the historical fault information of the equipment, and obtaining a fault correction coefficient f according to the historical fault times a ；
The corrected lifetime is: t' =f t f a T；
Comparing the time of operation T of all the devices in the power distribution network section Throwing in And calculating unsafe operation duration delta T=T when the equipment operation time is longer than the corrected life T' and the unsafe operation duration delta T=T Throwing in A T' to obtain a current fault impact value a=mΔt; wherein m is a time fault influence coefficient;
the step of calculating and obtaining the induced fault influence value according to the multi-source fault information specifically comprises the following steps:
for three-phase voltage, real-time temperature of equipment and transformer load, predicting current time t according to historical values by using time sequence prediction algorithm 0 Beginning to after t 0 A value within the +t' time period; for three-phase voltage, real-time temperature of equipment and transformer load, defining a dangerous interval of information values; for time interval t 0 ，t 0 +t′]When the information value in the sub-time interval is in the dangerous interval, t is obtained 0 The fault induction value I=f (n, l) at the time of +t', wherein n is the number of dangerous subintervals, and 1 is the length of the dangerous subintervals;
obtaining t 0 Predicting t according to natural growth rules of vegetation of each category by referring to the distance between vegetation and equipment at moment 0 The distance between vegetation and equipment at the moment +t', if the distance is smaller than a safe distance value, a vegetation correction coefficient P is given according to the specific distance;
for weather conditions, obtain at [ t ] according to weather forecast 0 ，t 0 +t′]Whether lightning stroke weather exists in the vehicle, if so, giving a weather modification coefficient W;
the corrected fault induction value is: i' =pwi;
fusing the obtained current fault influence value and the induced fault influence value to obtain a fusion result, and specifically, the step of realizing the early warning of the power distribution network area according to the fusion result comprises the following steps:
normalizing the current fault influence value and the induced fault influence value for all the sections in the region to obtain a normalized current fault influence value A '' norm And induced failure impact value I' norm ；
Selecting A' norm In the section of the front alpha percent, sending out the current fault early warning, wherein alpha is the threshold value of the current fault early warning;
at A' norm In the first α% of the segments, I 'is selected' norm And in the section of the first beta percent, sending out fault induction early warning, wherein beta is a threshold value of the fault induction early warning.
6. A terminal device, comprising: a processor; a memory for storing computer program instructions; it is characterized in that the method comprises the steps of,
when loaded and executed by the processor, the processor performs the power distribution network area warning method according to any one of claims 1 to 4.
7. A computer readable storage medium storing computer program instructions, characterized in that the computer program instructions, when loaded and executed by a processor, perform the distribution network area warning method of any one of claims 1 to 4.
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