CN113361983A - High-loss transformer area technology cause diagnosis method and system - Google Patents
High-loss transformer area technology cause diagnosis method and system Download PDFInfo
- Publication number
- CN113361983A CN113361983A CN202110918059.9A CN202110918059A CN113361983A CN 113361983 A CN113361983 A CN 113361983A CN 202110918059 A CN202110918059 A CN 202110918059A CN 113361983 A CN113361983 A CN 113361983A
- Authority
- CN
- China
- Prior art keywords
- area
- phase
- probability
- loss
- transformer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000005516 engineering process Methods 0.000 title claims description 17
- 238000003745 diagnosis Methods 0.000 title claims description 11
- 239000013598 vector Substances 0.000 claims abstract description 25
- 238000012545 processing Methods 0.000 claims abstract description 11
- 238000010606 normalization Methods 0.000 claims abstract description 6
- 238000004364 calculation method Methods 0.000 claims description 42
- 230000006870 function Effects 0.000 claims description 32
- 150000001875 compounds Chemical class 0.000 claims description 26
- 230000015654 memory Effects 0.000 claims description 13
- 238000011282 treatment Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 2
- 238000004458 analytical method Methods 0.000 claims description 2
- 238000011835 investigation Methods 0.000 abstract description 7
- 238000010586 diagram Methods 0.000 description 4
- 230000004927 fusion Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004128 high performance liquid chromatography Methods 0.000 description 2
- 238000011269 treatment regimen Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses a method and a system for diagnosing technical cause of a high-loss transformer area, wherein the method comprises the following steps: step 1: acquiring collected data of a platform area and a user side; step 2: when a high line loss event occurs in a transformer area, calculating the probability of the high line loss of the transformer area caused by three-phase imbalance, high load rate, low power factor and line grid problems respectively; and step 3: and (4) carrying out normalization processing on the technical cause probability vectors of the high-loss transformer area so as to obtain the high-line-loss technical cause vector probability of the transformer area. When a high line loss event occurs in a distribution room, the probability of the high line loss of the distribution room caused by four reasons, namely unbalanced three phases, high load rate, low power factor and line grid problems is calculated respectively, and the probability of the generation of the four reasons is sequenced from large to small, so that power supply station personnel can carry out on-site investigation according to the probability, and finally determine which reason causes the high line loss of the distribution room, thereby improving the pertinence of the on-site investigation of the power supply station and improving the management level of the line loss of the distribution room.
Description
Technical Field
The invention belongs to the technical field of power distribution and utilization, and particularly relates to a method and a system for diagnosing technical cause of a high-loss transformer area.
Background
Under the large background of quality improvement and efficiency improvement of power enterprises, the enhancement of the line loss management of the transformer area has important significance. The existing transformer area high loss treatment has the defects of unclear cause diagnosis and unscientific measure formulation, incomplete transformer area high loss treatment and repeated transformer area high line loss. With the full coverage of the HPLC of the power enterprise distribution area, the types of data collected by the distribution area are rich continuously, and very valuable electric quantity data are accumulated, but the electric quantity data are used for the high-loss distribution area to be treated less, and the value of the electric quantity data is not fully reflected.
Therefore, on the basis of collecting the electric quantity data of the transformer area and the user side, the automatic diagnosis method for the technical cause of the high-loss transformer area is scientifically and reasonably designed, the cause of the high line loss of the transformer area is automatically diagnosed, the high line loss treatment strategy of the transformer area is further formulated, and the method has important significance for improving the treatment of the high-loss transformer area.
Disclosure of Invention
The present invention provides a method and a system for diagnosing a technical cause of a high-loss transformer area, which are used for solving at least one of the above technical problems.
In a first aspect, the present invention provides a method for diagnosing a technical cause of a high-loss transformer area, including:
step 1: acquiring collected data of a platform area and a user side;
step 2: when a high line loss event occurs in a transformer area, the probability of the high line loss of the transformer area caused by three-phase imbalance, high load rate, low power factor and line grid frame problem is respectively calculated, wherein the method specifically comprises the following steps:
step 2.1: and calculating the probability of high line loss of the transformer area due to three-phase imbalance, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
The point-of-acquisition load factor is collected,
three-phase unbalance rate of the ith acquisition point of the transformer area,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
step 2.2: calculating the probability of high line loss of the transformer area due to high load rate, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
The power factor of the point of collection is,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
step 2.3: and calculating the probability of high line loss of the transformer area due to low power factor, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
The point-of-acquisition load factor is collected,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
step 2.4: calculating the probability of high line loss of the transformer area caused by the problem of the line network frame, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
the maximum value of the voltage deviation of the users belonging to the station A, B, C is greater than 10V,
respectively, the maximum value of the voltage deviation amount of the user to which the station A, B, C belongs,
is the number of users belonging to the platform area,
is a hyperbolic tangent function;
the expression for calculating the maximum value of the voltage deviation amount of the user to which the phase A belongs is as follows:
in the formula (I), the compound is shown in the specification,
the maximum value of the voltage deviation value of the user to which the phase A of the transformer area belongs,
is the number of users belonging to the phase A of the platform area,
the maximum value of the voltage deviation value of the k users belonging to the phase A of the transformer area,
is a maximum function;
calculating the maximum value of the voltage deviation amount of the k users to which the phase A belongs as follows:
in the formula (I), the compound is shown in the specification,
for a phase k users in a region
The amount of voltage deviation at the collection point,
is a daily collection point;
and step 3: normalizing the technical cause probability vector of the high-loss distribution area to obtain the technical cause vector probability of the high-loss distribution area, wherein the calculation formula of the technical cause vector probability of the high-loss distribution area is as follows:
in the formula, E is the probability that three-phase imbalance leads to the high line loss of transformer platform district, and F is the probability that power factor is low and leads to the high line loss of transformer platform district, and G is the probability that the load factor is high and leads to the high line loss of transformer platform district, and H leads to the probability of the high line loss of transformer platform district for circuit rack problem.
In a second aspect, the present invention provides a system for diagnosing a technical cause of a high-loss transformer area, including:
the acquisition module is configured to acquire acquired data of the distribution room and the user side;
the calculation module is configured to respectively calculate the probability of the high line loss of the transformer area due to four reasons, namely three-phase imbalance, high load rate, low power factor and line grid structure problem, when the high line loss event occurs in the transformer area, wherein the calculation module specifically comprises:
and calculating the probability of high line loss of the transformer area due to three-phase imbalance, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
The point-of-acquisition load factor is collected,
three-phase unbalance rate of the ith acquisition point of the transformer area,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
calculating the probability of high line loss of the transformer area due to high load rate, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
The power factor of the point of collection is,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
and calculating the probability of high line loss of the transformer area due to low power factor, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
The point-of-acquisition load factor is collected,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
calculating the probability of high line loss of the transformer area caused by the problem of the line network frame, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
the maximum value of the voltage deviation of the users belonging to the station A, B, C is greater than 10V,
respectively, the maximum value of the voltage deviation amount of the user to which the station A, B, C belongs,
is the number of users belonging to the platform area,
is a hyperbolic tangent function;
the expression for calculating the maximum value of the voltage deviation amount of the user to which the phase A belongs is as follows:
in the formula (I), the compound is shown in the specification,
the maximum value of the voltage deviation value of the user to which the phase A of the transformer area belongs,
is the number of users belonging to the phase A of the platform area,
the maximum value of the voltage deviation value of the k users belonging to the phase A of the transformer area,
is a maximum function;
calculating the maximum value of the voltage deviation amount of the k users to which the phase A belongs as follows:
in the formula (I), the compound is shown in the specification,
for a phase k users in a region
The amount of voltage deviation at the collection point,
is a daily collection point;
the processing module is configured to perform normalization processing on the high-loss distribution area technology cause probability vector to obtain a distribution area high-loss technology cause vector probability, wherein the calculation formula of the distribution area high-loss technology cause vector probability is as follows:
in the formula, E is the probability that three-phase imbalance leads to the high line loss of transformer platform district, and F is the probability that power factor is low and leads to the high line loss of transformer platform district, and G is the probability that the load factor is high and leads to the high line loss of transformer platform district, and H leads to the probability of the high line loss of transformer platform district for circuit rack problem.
In a third aspect, an electronic device is provided, comprising: the system comprises at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the steps of the high-loss platform technical cause diagnostic method according to any embodiment of the invention.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program includes program instructions, and when the program instructions are executed by a computer, the computer is caused to execute the steps of the method for diagnosing technical cause of high-loss distribution areas according to any embodiment of the present invention.
According to the method and the system for diagnosing the technical cause of the high-loss transformer area, when a high-line-loss event occurs in the transformer area, the probability of the high-line-loss of the transformer area is caused by respectively calculating three-phase imbalance, high load rate, low power factor and four line grid problems, and the probability of the generation of the four reasons is sequenced from large to small, so that power supply station personnel can carry out on-site investigation according to the probability, and finally which reason causes the high-line loss of the transformer area is determined, so that the pertinence of the on-site investigation of the power supply station is improved, a scientific and reasonable line loss treatment strategy is further formulated, and the management level of the line loss of the transformer area is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of a method for diagnosing a cause of a technical problem in a high-loss distribution area according to an embodiment of the present invention;
fig. 2 is a block diagram of a system for diagnosing a technical cause of a high-loss distribution room according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flow chart of a method for diagnosing a cause of a high-loss transformer area technology according to the present application is shown.
As shown in fig. 1, in step 1, acquired data of the station area and the user side are acquired.
In this embodiment, the electrical acquisition device is installed on the outlet side of the platform area, and the acquired data of the platform area and the user side include three-phase voltages
Three-phase current
Three-phase active power
And three-phase reactive power
Transmitting to the intelligent fusion terminal or concentrator of the platform area in an RS485 communication mode, installing an electrical acquisition device at the user side of the platform area, and measuring the voltage at the user side
Data are transmitted to the district intelligent fusion terminal or the concentrator through HPLC communication, the collection interval can be set according to actual conditions, generally 15min is taken, and the district intelligent fusion terminal or the concentrator sends the district time sequence data to a front collection server and a storage server.
In step 2, when a high line loss event occurs in the transformer area, the probability of the high line loss of the transformer area caused by three-phase imbalance, high load rate, low power factor and line grid problems is calculated respectively.
In this embodiment, when a high line loss event occurs in a distribution room, the step of calculating the probability of the high line loss of the distribution room due to three-phase imbalance, high load rate, low power factor and line grid structure problem is specifically as follows:
step 2.1: and calculating the probability of high line loss of the transformer area due to three-phase imbalance, wherein the calculation formula is as follows:
in the formula (I), wherein,
is the first stage area
The point-of-acquisition load factor is collected,
three-phase unbalance rate of the ith acquisition point of the transformer area,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
wherein the station area is the first
Pick point load factor
The calculation formula of (A) is as follows:
in the formula (I), wherein,
is a phase A of the platform area
The active power of the point is collected,
is a phase B of a station area
The active power of the point is collected,
is the phase C of the platform area
The active power of the point is collected,
is a phase A of the platform area
The reactive power of the collection point is collected,
is a phase B of a station area
The reactive power of the collection point is collected,
is the phase C of the platform area
The reactive power of the collection point is collected,
and allocating variable capacity for the station area.
The three-phase unbalance rate of the ith acquisition point of the distribution room
The calculation formula of (A) is as follows:
in the formula (I), wherein,
is a phase A of the platform area
The current of the point is collected,
is a phase B of a station area
The current of the point is collected,
is the phase C of the platform area
The current of the point is collected,
is a function of the maximum of the functions,
is a minimum function.
Step 2.2: calculating the probability of high line loss of the transformer area due to high load rate, wherein the calculation formula is as follows:
in the formula (I), wherein,
is the first stage area
The power factor of the point of collection is,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
wherein the station area is the first
Pick point power factor
The calculation formula of (A) is as follows:
in the formula (I), wherein,
is a phase A of the platform area
The active power of the point is collected,
is a phase B of a station area
The active power of the point is collected,
is the phase C of the platform area
The active power of the point is collected,
is a phase A of the platform area
The reactive power of the collection point is collected,
is a phase B of a station area
The reactive power of the collection point is collected,
is the phase C of the platform area
And collecting point reactive power.
Step 2.3: and calculating the probability of high line loss of the transformer area due to low power factor, wherein the calculation formula is as follows:
in the formula (I), wherein,
is the first stage area
The point-of-acquisition load factor is collected,
in the form of a function of the hyperbolic tangent,
day collection points.
Step 2.4: calculating the probability of high line loss of the transformer area caused by the problem of the line network frame, wherein the calculation formula is as follows:
in the formula (I), wherein,
the maximum value of the voltage deviation of the users belonging to the station A, B, C is greater than 10V,
respectively, the maximum value of the voltage deviation amount of the user to which the station A, B, C belongs,
is the number of users belonging to the platform area,
is a hyperbolic tangent function;
the expression for calculating the maximum value of the voltage deviation amount of the user to which the phase A belongs is as follows:
in the formula (I), wherein,
the maximum value of the voltage deviation value of the user to which the phase A of the transformer area belongs,
is the number of users belonging to the phase A of the platform area,
the maximum value of the voltage deviation value of the k users belonging to the phase A of the transformer area,
is a maximum function; calculating the maximum value of the voltage deviation amount of the k users to which the phase A belongs as follows:
in the formula (I), wherein,
for a phase k users in a region
The amount of voltage deviation at the collection point,
is a daily collection point; the A phase k users of the region
Amount of voltage deviation at collection point
The calculation formula of (A) is as follows:
in the formula (I), wherein,
for k users
The voltage of the point is collected,
for the k users belonging to the A phase of the station area
A point voltage is collected.
Similarly, the maximum value of the voltage deviation value of the B, C-phase user is calculated
。
In step 3, normalizing the high-loss distribution area technology cause probability vector to obtain a distribution area high-loss technology cause vector probability, wherein the calculation formula of the distribution area high-loss technology cause vector probability is as follows:
in the formula, E is the probability that three-phase imbalance leads to the high line loss of the transformer area, F is the probability that power factor is low and leads to the high line loss of the transformer area, G is the probability that load factor is high and leads to the high line loss of the transformer area, and H is the probability that line network frame problem leads to the high line loss of the transformer area.
In summary, the method of the present embodiment has the following technical effects:
1) when a high line loss event occurs in a transformer area, the probability of the high line loss of the transformer area is caused by respectively calculating three-phase imbalance, high load rate, low power factor and four reasons of line grid problems, and the probability generated by the four reasons is sequenced from large to small, so that power supply station personnel can carry out on-site investigation according to the probability, and finally determine which reason causes the high line loss of the transformer area, thereby improving the pertinence of on-site investigation of the power supply station, further formulating a scientific and reasonable line loss management strategy and improving the management level of the line loss of the transformer area.
2) On the basis of collecting electric data of a platform area outlet side and a user side, a probability formula of platform area high line loss caused by four conditions of three-phase unbalance, high load rate, low power factor and line grid structure problem is designed, the probability vector is normalized, operation and maintenance personnel carry out field investigation according to the probability of the four conditions, and the accuracy of platform area high loss treatment is further improved.
3) The probability of the platform area high loss technical cause is automatically analyzed without manual intervention, and the automation and intelligentization level of platform area high loss treatment is improved.
In some optional embodiments, after the diagnosis of the cause of the high line loss technology in the transformer area is completed, a work order for managing the high line loss in the transformer area is generated, and the content of the work order comprises a transformer area name, a power supply station name, a line loss rate, an abnormal date, a diagnosis and analysis result, operation and maintenance personnel, a mobile phone number, order sending time and filing time.
Referring to fig. 2, a block diagram of a high-loss platform-area technical cause diagnosis system according to the present application is shown.
As shown in fig. 2, the system 200 for diagnosing the technical cause of the high-loss transformer area includes an obtaining module 210, a calculating module 220, and a processing module 230.
The obtaining module 210 is configured to obtain collected data of the distribution room and the user side;
the calculating module 220 is configured to, when a high line loss event occurs in the distribution room, respectively calculate probabilities of the high line loss of the distribution room due to three-phase imbalance, high load rate, low power factor, and line grid frame problem, where the calculating module specifically includes: and calculating the probability of high line loss of the transformer area due to three-phase imbalance, wherein the calculation formula is as follows:
in the formula (I), wherein,
is the first stage area
The point-of-acquisition load factor is collected,
three-phase unbalance rate of the ith acquisition point of the transformer area,
in the form of a function of the hyperbolic tangent,
is a daily collection point; calculating the probability of high line loss of the transformer area due to high load rate, wherein the calculation formula is as follows:
in the formula (I), wherein,
is the first stage area
The power factor of the point of collection is,
in the form of a function of the hyperbolic tangent,
is a daily collection point; and calculating the probability of high line loss of the transformer area due to low power factor, wherein the calculation formula is as follows:
in the formula (I), wherein,
is the first stage area
The point-of-acquisition load factor is collected,
in the form of a function of the hyperbolic tangent,
is a daily collection point; calculating the probability of high line loss of the transformer area caused by the problem of the line network frame, wherein the calculation formula is as follows:
in the formula (I), wherein,
the maximum value of the voltage deviation of the users belonging to the station A, B, C is greater than 10V,
respectively, the maximum value of the voltage deviation amount of the user to which the station A, B, C belongs,
is the number of users belonging to the platform area,
is a hyperbolic tangent function; the expression for calculating the maximum value of the voltage deviation amount of the user to which the phase A belongs is as follows:
in the formula (I), wherein,
the maximum value of the voltage deviation value of the user to which the phase A of the transformer area belongs,
is the number of users belonging to the phase A of the platform area,
the maximum value of the voltage deviation value of the k users belonging to the phase A of the transformer area,
is a maximum function; calculating the maximum value of the voltage deviation amount of the k users to which the phase A belongs as follows:
in the formula (I), wherein,
for a phase k users in a region
The amount of voltage deviation at the collection point,
is a daily collection point;
the processing module 230 is configured to perform normalization processing on the high-loss platform area technology cause probability vector, so as to obtain a high-loss platform area technology cause vector probability, where the calculation formula of the platform area high-loss technology cause vector probability is:
in the formula, E is the probability that three-phase imbalance leads to the high line loss of the transformer area, F is the probability that power factor is low and leads to the high line loss of the transformer area, G is the probability that load factor is high and leads to the high line loss of the transformer area, and H is the probability that line network frame problem leads to the high line loss of the transformer area.
It should be understood that the modules depicted in fig. 2 correspond to various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are also applicable to the modules in fig. 2, and are not described again here.
In other embodiments, the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, where the computer-executable instructions may execute the method for diagnosing the technical cause of the high-loss distribution area in any of the above method embodiments;
as one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
acquiring collected data of a platform area and a user side;
when a high line loss event occurs in a transformer area, calculating the probability of the high line loss of the transformer area caused by three-phase imbalance, high load rate, low power factor and line grid problems respectively;
and (4) carrying out normalization processing on the technical cause probability vectors of the high-loss transformer area so as to obtain the high-line-loss technical cause vector probability of the transformer area.
The computer-readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the high-loss platform area technical cause diagnostic system, and the like. Further, the computer-readable storage medium may include high speed random access memory, and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the computer readable storage medium optionally includes memory located remotely from the processor, and these remote memories may be connected to the high loss stage area technology cause diagnostic system via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330, and the output device 340 may be connected by a bus or other means, such as the bus connection in fig. 3. The memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications and data processing of the server by running the nonvolatile software programs, instructions and modules stored in the memory 320, namely, the method for diagnosing the technical cause of the high-damage distribution area in the embodiment of the method is implemented. The input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the high-loss platform technical cause diagnostic system. The output device 340 may include a display device such as a display screen.
The electronic device can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
As an embodiment, the electronic device is applied to a high-loss platform area technical cause diagnosis system, and is used for a client, and the electronic device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to:
acquiring collected data of a platform area and a user side;
when a high line loss event occurs in a transformer area, calculating the probability of the high line loss of the transformer area caused by three-phase imbalance, high load rate, low power factor and line grid problems respectively;
and (4) carrying out normalization processing on the technical cause probability vectors of the high-loss transformer area so as to obtain the high-line-loss technical cause vector probability of the transformer area.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A high-loss transformer area technical cause diagnosis method is characterized by comprising the following steps:
step 1: acquiring collected data of a platform area and a user side;
step 2: when a high line loss event occurs in a transformer area, the probability of the high line loss of the transformer area caused by three-phase imbalance, high load rate, low power factor and line grid frame problem is respectively calculated, wherein the method specifically comprises the following steps:
step 2.1: and calculating the probability of high line loss of the transformer area due to three-phase imbalance, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
The point-of-acquisition load factor is collected,
three-phase unbalance rate of the ith acquisition point of the transformer area,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
step 2.2: calculating the probability of high line loss of the transformer area due to high load rate, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
A collection point power factor;
step 2.3: and calculating the probability of high line loss of the transformer area due to low power factor, wherein the calculation formula is as follows:
step 2.4: calculating the probability of high line loss of the transformer area caused by the problem of the line network frame, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
the maximum value of the voltage deviation of the users belonging to the station A, B, C is greater than 10V,
respectively, the maximum value of the voltage deviation amount of the user to which the station A, B, C belongs,
the number of users belonging to the transformer area;
the expression for calculating the maximum value of the voltage deviation amount of the user to which the phase A belongs is as follows:
in the formula (I), the compound is shown in the specification,
is the number of users belonging to the phase A of the platform area,
the maximum value of the voltage deviation value of the k users belonging to the phase A of the transformer area,
is a maximum function;
calculating the maximum value of the voltage deviation amount of the k users to which the phase A belongs as follows:
in the formula (I), the compound is shown in the specification,
for a phase k users in a region
Collecting a point voltage deviation amount;
and step 3: normalizing the technical cause probability vector of the high-loss distribution area to obtain the technical cause vector probability of the high-loss distribution area, wherein the calculation formula of the technical cause vector probability of the high-loss distribution area is as follows:
in the formula, E is the probability that three-phase imbalance leads to the high line loss of transformer platform district, and F is the probability that power factor is low and leads to the high line loss of transformer platform district, and G is the probability that the load factor is high and leads to the high line loss of transformer platform district, and H leads to the probability of the high line loss of transformer platform district for circuit rack problem.
2. The method for diagnosing the technical cause of the high-loss transformer area according to claim 1, wherein after the step 3, the method further comprises:
and generating a high line loss treatment work order of the transformer area, wherein the content of the high line loss treatment work order of the transformer area comprises a transformer area name, a power supply station name, a line loss rate, an abnormal date, a diagnosis and analysis result, operation and maintenance personnel, a mobile phone number, order dispatching time and filing time.
3. The method for diagnosing the technical cause of the high-loss transformer area according to claim 1, wherein in step 1, the collected data comprises three-phase voltages
Three-phase current
Three-phase active power
And three-phase reactive power
。
4. The method for diagnosing the technical cause of the high-loss transformer area according to claim 1, wherein in step 2, the transformer area is the first transformer area
Pick point load factor
The calculation formula of (A) is as follows:
in the formula (I), the compound is shown in the specification,
is a phase A of the platform area
The active power of the point is collected,
is a phase B of a station area
The active power of the point is collected,
is the phase C of the platform area
The active power of the point is collected,
is a phase A of the platform area
The reactive power of the collection point is collected,
is a phase B of a station area
The reactive power of the collection point is collected,
is the phase C of the platform area
The reactive power of the collection point is collected,
and allocating variable capacity for the station area.
5. The method for diagnosing the technical cause of the high-loss transformer area according to claim 1, wherein in step 2, the transformer area is the first transformer area
Pick point power factor
The calculation formula of (A) is as follows:
in the formula (I), the compound is shown in the specification,
is a phase A of the platform area
The active power of the point is collected,
is a phase B of a station area
The active power of the point is collected,
is the phase C of the platform area
The active power of the point is collected,
is a phase A of the platform area
The reactive power of the collection point is collected,
is a phase B of a station area
The reactive power of the collection point is collected,
is the phase C of the platform area
And collecting point reactive power.
6. The method for diagnosing the technical cause of the high-loss transformer area according to claim 1, wherein in the step 2, the three-phase imbalance rate of the ith acquisition point of the transformer area is
The calculation formula of (A) is as follows:
in the formula (I), the compound is shown in the specification,
is a phase A of the platform area
The current of the point is collected,
is a phase B of a station area
The current of the point is collected,
is the phase C of the platform area
The current of the point is collected,
is a function of the maximum of the functions,
is a minimum function.
7. The method as claimed in claim 1, wherein in step 2, the phase a users of the region are phase k users
Amount of voltage deviation at collection point
The calculation formula of (A) is as follows:
in the formula (I), the compound is shown in the specification,
for k users
The voltage of the point is collected,
is a platform areaThe k users to which the A phase belongs
A point voltage is collected.
8. A high-loss platform area technical cause diagnosis system is characterized by comprising:
the acquisition module is configured to acquire acquired data of the distribution room and the user side;
the calculation module is configured to respectively calculate the probability of the high line loss of the transformer area due to four reasons, namely three-phase imbalance, high load rate, low power factor and line grid structure problem, when the high line loss event occurs in the transformer area, wherein the calculation module specifically comprises:
and calculating the probability of high line loss of the transformer area due to three-phase imbalance, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
The point-of-acquisition load factor is collected,
three-phase unbalance rate of the ith acquisition point of the transformer area,
in the form of a function of the hyperbolic tangent,
is a daily collection point;
calculating the probability of high line loss of the transformer area due to high load rate, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
is the first stage area
A collection point power factor;
and calculating the probability of high line loss of the transformer area due to low power factor, wherein the calculation formula is as follows:
calculating the probability of high line loss of the transformer area caused by the problem of the line network frame, wherein the calculation formula is as follows:
in the formula (I), the compound is shown in the specification,
the maximum value of the voltage deviation of the users belonging to the station A, B, C is greater than 10V,
respectively, the maximum value of the voltage deviation amount of the user to which the station A, B, C belongs,
the number of users belonging to the transformer area;
the expression for calculating the maximum value of the voltage deviation amount of the user to which the phase A belongs is as follows:
in the formula (I), the compound is shown in the specification,
is the number of users belonging to the phase A of the platform area,
the maximum value of the voltage deviation value of the k users belonging to the phase A of the transformer area,
is a maximum function;
calculating the maximum value of the voltage deviation amount of the k users to which the phase A belongs as follows:
in the formula (I), the compound is shown in the specification,
for a phase k users in a region
Collecting a point voltage deviation amount;
the processing module is configured to perform normalization processing on the high-loss distribution area technology cause probability vector to obtain a distribution area high-loss technology cause vector probability, wherein the calculation formula of the distribution area high-loss technology cause vector probability is as follows:
in the formula, E is the probability that three-phase imbalance leads to the high line loss of transformer platform district, and F is the probability that power factor is low and leads to the high line loss of transformer platform district, and G is the probability that the load factor is high and leads to the high line loss of transformer platform district, and H leads to the probability of the high line loss of transformer platform district for circuit rack problem.
9. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110918059.9A CN113361983B (en) | 2021-08-11 | 2021-08-11 | High-loss transformer area technology cause diagnosis method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110918059.9A CN113361983B (en) | 2021-08-11 | 2021-08-11 | High-loss transformer area technology cause diagnosis method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113361983A true CN113361983A (en) | 2021-09-07 |
| CN113361983B CN113361983B (en) | 2022-02-08 |
Family
ID=77523005
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110918059.9A Active CN113361983B (en) | 2021-08-11 | 2021-08-11 | High-loss transformer area technology cause diagnosis method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113361983B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113740657A (en) * | 2021-11-04 | 2021-12-03 | 国网江西省电力有限公司电力科学研究院 | Method and system for online checking capacity of single high-power-supply high-count distribution transformer |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120212191A1 (en) * | 2011-02-22 | 2012-08-23 | Kyosan Electric Mfg. Co., Ltd. | Method for controlling power factor of three-phase converter, method for controlling reactive power of three-phase converter, and controller of three-phase converter |
| CN104111379A (en) * | 2013-04-19 | 2014-10-22 | 国家电网公司 | Transformer district line loss rate flexible analysis algorithm process |
| CN107039970A (en) * | 2017-03-13 | 2017-08-11 | 广东电网有限责任公司信息中心 | Gong Biantai areas line loss per unit abnormal cause detection method and system |
| CN107863770A (en) * | 2017-09-30 | 2018-03-30 | 国网上海市电力公司 | A kind of decision method of low-voltage platform area line loss per unit abnormal cause |
| US20180375332A1 (en) * | 2016-11-24 | 2018-12-27 | China Electric Power Research Institute Company Limited | Method and apparatus for determining distributed power supply access capacity, and storage medium |
| CN110134708A (en) * | 2019-03-03 | 2019-08-16 | 云南电网有限责任公司信息中心 | Electric net platform region line loss abnormal cause diagnostic method, device, computer equipment and storage medium |
| CN111260198A (en) * | 2020-01-10 | 2020-06-09 | 广东电网有限责任公司 | Method and system for judging degree of rationality of line loss in transformer area synchronization and terminal equipment |
| CN111384714A (en) * | 2020-03-12 | 2020-07-07 | 深圳供电局有限公司 | Low-voltage transformer area line loss problem searching method based on multi-factor state distribution |
| CN111781463A (en) * | 2020-06-25 | 2020-10-16 | 国网福建省电力有限公司 | Auxiliary diagnosis method for abnormal line loss of transformer area |
| US20200366092A1 (en) * | 2019-05-15 | 2020-11-19 | University Of Electronic Science And Technology Of China | Method for analyzing correlation between different line loss actions |
| CN112288303A (en) * | 2020-11-05 | 2021-01-29 | 国家电网有限公司 | Method and device for determining line loss rate |
| CN112578205A (en) * | 2020-12-04 | 2021-03-30 | 广东电网有限责任公司江门供电局 | Line loss analysis method for correcting technical line loss rate |
| CN112712240A (en) * | 2020-12-23 | 2021-04-27 | 南方电网电力科技股份有限公司 | Transformer area line loss cause analysis method and device |
| CN113159339A (en) * | 2021-04-20 | 2021-07-23 | 国网江西省电力有限公司信息通信分公司 | One-region one-index line loss management method and system based on big data |
-
2021
- 2021-08-11 CN CN202110918059.9A patent/CN113361983B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120212191A1 (en) * | 2011-02-22 | 2012-08-23 | Kyosan Electric Mfg. Co., Ltd. | Method for controlling power factor of three-phase converter, method for controlling reactive power of three-phase converter, and controller of three-phase converter |
| CN104111379A (en) * | 2013-04-19 | 2014-10-22 | 国家电网公司 | Transformer district line loss rate flexible analysis algorithm process |
| US20180375332A1 (en) * | 2016-11-24 | 2018-12-27 | China Electric Power Research Institute Company Limited | Method and apparatus for determining distributed power supply access capacity, and storage medium |
| CN107039970A (en) * | 2017-03-13 | 2017-08-11 | 广东电网有限责任公司信息中心 | Gong Biantai areas line loss per unit abnormal cause detection method and system |
| CN107863770A (en) * | 2017-09-30 | 2018-03-30 | 国网上海市电力公司 | A kind of decision method of low-voltage platform area line loss per unit abnormal cause |
| CN110134708A (en) * | 2019-03-03 | 2019-08-16 | 云南电网有限责任公司信息中心 | Electric net platform region line loss abnormal cause diagnostic method, device, computer equipment and storage medium |
| US20200366092A1 (en) * | 2019-05-15 | 2020-11-19 | University Of Electronic Science And Technology Of China | Method for analyzing correlation between different line loss actions |
| CN111260198A (en) * | 2020-01-10 | 2020-06-09 | 广东电网有限责任公司 | Method and system for judging degree of rationality of line loss in transformer area synchronization and terminal equipment |
| CN111384714A (en) * | 2020-03-12 | 2020-07-07 | 深圳供电局有限公司 | Low-voltage transformer area line loss problem searching method based on multi-factor state distribution |
| CN111781463A (en) * | 2020-06-25 | 2020-10-16 | 国网福建省电力有限公司 | Auxiliary diagnosis method for abnormal line loss of transformer area |
| CN112288303A (en) * | 2020-11-05 | 2021-01-29 | 国家电网有限公司 | Method and device for determining line loss rate |
| CN112578205A (en) * | 2020-12-04 | 2021-03-30 | 广东电网有限责任公司江门供电局 | Line loss analysis method for correcting technical line loss rate |
| CN112712240A (en) * | 2020-12-23 | 2021-04-27 | 南方电网电力科技股份有限公司 | Transformer area line loss cause analysis method and device |
| CN113159339A (en) * | 2021-04-20 | 2021-07-23 | 国网江西省电力有限公司信息通信分公司 | One-region one-index line loss management method and system based on big data |
Non-Patent Citations (2)
| Title |
|---|
| DAIYU DENG 等: ""Line Loss Association and Prediction Model Based on Deep Learning"", 《2019 IEEE INNOVATIVE SMART GRID TECHNOLOGIES-ASIA》 * |
| 孟天璇: ""配电网同期线损分析及降损措施研究"", 《中国优秀博硕士学位论文全文数据库(硕士)-工程科技Ⅱ辑》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113740657A (en) * | 2021-11-04 | 2021-12-03 | 国网江西省电力有限公司电力科学研究院 | Method and system for online checking capacity of single high-power-supply high-count distribution transformer |
| CN113740657B (en) * | 2021-11-04 | 2022-03-11 | 国网江西省电力有限公司电力科学研究院 | Method and system for online checking capacity of single high-power-supply high-count distribution transformer |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113361983B (en) | 2022-02-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108197774B (en) | Distributed photovoltaic power generation capacity abnormity diagnosis method and device | |
| CN112561408B (en) | Distribution transformer overload treatment method and system | |
| CN111564898A (en) | Multifunctional intelligent control system based on intelligent electric meter | |
| CN113381408B (en) | Power utilization abnormity distribution transformer positioning method and device based on distribution automation data | |
| CN112886922B (en) | Calculation method, device and storage medium for loss electric quantity of photovoltaic power station | |
| CN115267323A (en) | Line loss analysis and management system | |
| CN112731242A (en) | Calibration method of on-site calibrator of online power quality monitoring device | |
| CN111342454B (en) | Method and system for analyzing big data of low voltage cause at platform area outlet | |
| CN113361983B (en) | High-loss transformer area technology cause diagnosis method and system | |
| CN111398859A (en) | User low-voltage cause big data analysis method and system | |
| CN111443248A (en) | Inverter performance index test data extraction system and method | |
| CN103018611A (en) | Non-invasive load monitoring method and system based on current decomposition | |
| CN114660412A (en) | Electric energy quality monitoring system based on intelligent electric energy meter and monitoring method thereof | |
| CN113868821B (en) | Distribution network loss reduction method based on marketing and distribution big data fusion and terminal | |
| CN115051912A (en) | Method, device, equipment and medium for positioning power failure user | |
| CN112630556B (en) | Equipment monitoring method, system, device, equipment and storage medium | |
| CN112203315B (en) | Iron tower base station abnormity detection method and equipment | |
| CN113850494A (en) | Data loading method and device, electronic equipment and storage medium | |
| Athanasiadis et al. | A Benchmarking Testbed for Low-Voltage Active Distribution Network Studies | |
| CN113552527A (en) | Multi-meter set line loss meter-setting device and line loss meter-setting method | |
| CN116882766B (en) | Power consumption abnormal distribution risk analysis method and system | |
| CN113239097B (en) | Transformer area leakage potential safety hazard analysis method and system | |
| CN113740657B (en) | Method and system for online checking capacity of single high-power-supply high-count distribution transformer | |
| CN114944052B (en) | Automatic test method and system for meter reading stability of electricity acquisition terminal | |
| CN202121322U (en) | Urban power grid risk assessment model generating device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |