CN112186740A - Method and system for identifying station area for small-load user and storage medium - Google Patents
Method and system for identifying station area for small-load user and storage medium Download PDFInfo
- Publication number
- CN112186740A CN112186740A CN202010937540.8A CN202010937540A CN112186740A CN 112186740 A CN112186740 A CN 112186740A CN 202010937540 A CN202010937540 A CN 202010937540A CN 112186740 A CN112186740 A CN 112186740A
- Authority
- CN
- China
- Prior art keywords
- load
- voltage fluctuation
- jump
- matching
- small
- 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 28
- 230000008859 change Effects 0.000 claims description 32
- 238000004590 computer program Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 description 7
- 238000010276 construction Methods 0.000 description 4
- 238000002347 injection Methods 0.000 description 4
- 239000007924 injection Substances 0.000 description 4
- 239000000243 solution Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000000047 product Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
- H02J2310/70—Load identification
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Probability & Statistics with Applications (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Fuzzy Systems (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses a method and a system for identifying a transformer area for a small-load user and a computer readable storage medium. Firstly, acquiring continuous load data of a general table, a small load sub-table to be identified and all identified sub-tables in a distribution room; load jumps occurring in the identified sub-tables are found through a sliding time window, the load jumps correspond to the starting and stopping of a large-load electric appliance in the distribution area, relatively obvious voltage fluctuation can be brought to the distribution area, and voltage fluctuation matching is carried out when the jump combination in the time window is selected to be simple; in the matching, the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables are selected, and if the voltage fluctuation of a small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, the voltage fluctuation matching is successful; and determining the user-variable relationship of the small load sub-table according to the statistical result by matching all the load data for multiple times.
Description
Technical Field
The present invention relates to the field of power grid region identification technologies, and in particular, to a method and a system for identifying a region of a low-load user, and a computer-readable storage medium.
Background
The household variable relationship is basic data of a power grid, the household variable relationship is widely applied to power grid management, the accuracy of the household variable relationship directly influences the management function of the power grid, and if the household variable relationship has errors, the line loss management which is one of the core management functions of the power grid cannot be mentioned. In actual construction, some areas have incomplete or wrong entry of the house-to-house relationship at the beginning, and some areas have accurate house-to-house relationship at the beginning, but in subsequent construction (such as migration, capacity expansion, cutting, distribution and the like), if complex conditions such as line intersection, line burying and the like occur during construction, the updating of the house-to-house relationship can also make mistakes. The above situations all result in inconsistency between the subscriber variation relationships of some cell areas and the actual subscriber variation relationships, and the inconsistency may exist dynamically along with the cell area construction, so a solution is needed to dynamically and accurately identify the subscriber variation relationships of the cell areas.
The subscriber-to-subscriber relationship identification of the current station area is mainly based on two schemes, one scheme is a signal injection scheme, and the other scheme is a load characteristic scheme. The signal injection scheme is to use dedicated hardware transceiver equipment to inject signals into the distribution area, and to complete the judgment of the user variable relationship through the reception and identification of the signals. The signal injection scheme does not need to manually check a line, is an automatic solution, realizes identification of the user variable relationship at the injection moment by injecting and receiving signals, but can only be used for identification of the user variable relationship in a transformer area, cannot construct massive load data and further deeply mine the load data, has no expansion capability in function, and can possibly cause certain influence on power supply quality and power utilization safety by injecting signals.
And the load characteristic scheme is to collect the load data of the user, extract the load characteristics and realize the identification of the station area user variation relationship through the matching of the characteristics. The load characteristic scheme is an intelligent solution, can dynamically identify the house-to-house relationship under the condition that a user does not sense, can construct massive load data of a transformer area, and can carry out deep mining on the massive data to form an intelligent integral solution of the transformer area, which comprises functions of transformer area house-to-house relationship identification, line topology identification, accurate line impedance calculation, system error analysis and the like. The patent CN110707686A previously filed by the present applicant is the adopted load characteristic scheme.
The current load characteristic scheme is to collect load values such as current, power and electric quantity of each node in a transformer area, and to realize identification of transformer area family change relationship by extracting and matching load characteristics. However, for a small-load user or an empty user (hereinafter, referred to as a small-load user), due to the characteristics of small load and even no load, the load characteristics are difficult to extract and match, so that the problem that the user variation relationship of the small-load user cannot be identified is brought to the load characteristic scheme, and the problem seriously affects the wide application of the load characteristic scheme.
Disclosure of Invention
The invention provides a method and a system for identifying a cell for a small-load user and a computer readable storage medium, which aim to solve the technical problem that the existing load characteristic scheme cannot identify the user variation relationship of the small-load user.
According to one aspect of the present invention, there is provided a method for identifying a cell for a low-load user, comprising the following steps:
step S1: collecting load data of a general table, a small load sub-table to be identified and all identified sub-tables in a distribution room;
step S2: through the sliding of the time window, the opportunity for voltage fluctuation matching is found, and the condition that the jump of the identified sub-table in the time window is single jump or the jump combination can be equivalent to single jump is met;
step S3: and selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching this time.
Further, the method also comprises the following steps:
step S4: and repeating the step S2 and the step S3, completing the processing of all the load data, counting all the matching results, if the matching success ratio is greater than the first threshold, determining that the small-load user belongs to the cell, and if the matching success ratio is less than the second threshold, determining that the small-load user does not belong to the cell.
Further, when single load jump occurs in the time window, if the voltage fluctuation of the small-load user is between the voltage fluctuation of the jump sub-table and the voltage fluctuation of the summary table, the matching is successful.
Further, when two or more load equidirectional jump combinations appear in a time window, the load equidirectional jump combination is equivalent to a single load jump, the maximum voltage fluctuation and the minimum voltage fluctuation in the summary table and all jump sublists are selected, and if the voltage fluctuation of a small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, the matching is successful.
Further, when a reverse jump combination of two or more loads appears in a time window and the jump combination can be equivalent to single load jump after forward and reverse counteraction, the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables are selected, and if the voltage fluctuation of a small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, the matching is successful.
Further, the step S2 is to expand the time window, and add primary side influence determination regions on the left and right sides of the original window, if the voltage of the summary table in the primary side influence determination region is stable, continue to execute the step S3, if the voltage of the summary table in the primary side influence determination region is not stable, abandon the matching, and slide the time window to perform the matching of the next time interval.
The invention also provides a system for identifying the distribution area of the small-load user, which comprises the following steps:
the data acquisition module is used for acquiring load data of a general table, a small load sub-table to be identified and all identified sub-tables in the transformer area;
the load jump query module is used for finding the time for voltage fluctuation matching through the sliding of the time window, and the jump of the identified sub-table in the time window is a single jump or a jump combination can be equivalent to a single jump;
and the matching module is used for performing voltage fluctuation matching of the small-load sub-tables, selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching this time.
Further, still include: and the counting module is used for counting all the matching results, judging that the small-load user belongs to the distribution area if the matching success ratio is greater than a first threshold value, and judging that the small-load user does not belong to the distribution area if the matching success ratio is less than a second threshold value.
Further, the time window includes a load change determination area and primary side influence determination areas respectively located on the left and right sides of the load change determination area, the load change determination area is used for searching load jump of all identified sub-tables occurring in the same time interval, the primary side influence determination area is used for eliminating interference of voltage fluctuation of the primary side on the platform area, if voltages of the total table in the two primary side influence determination areas are stable, the primary side interference can be eliminated and subsequent matching operation is performed, and if the voltage of the total table in the primary side influence determination area is unstable, the matching module gives up the matching operation.
The present invention also provides a computer-readable storage medium for storing a computer program for identifying a cell for a low-load user, wherein the computer program, when running on a computer, performs the following steps:
step S1: collecting load data of a general table, a small load sub-table to be identified and all identified sub-tables in a distribution room;
step S2: through the sliding of the time window, the opportunity for voltage fluctuation matching is found, and the condition that the jump of the identified sub-table in the time window is single jump or the jump combination can be equivalent to single jump is met;
step S3: and selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching this time.
The invention has the following effects:
the method for identifying the transformer area for the small-load user comprises the steps of firstly collecting continuous load data of a general table, a small-load sub-table to be identified and all identified sub-tables in the transformer area, then finding load jumps occurring in the identified sub-tables through a sliding time window, wherein the load jumps correspond to the starting and stopping of a large-load electric appliance in the transformer area, relatively obvious voltage fluctuation can be brought to the transformer area, voltage fluctuation matching is carried out when the jump combination in the time window is selected to be simple, and the voltage fluctuation of the transformer area is simple at the moment and is an ideal time for carrying out subsequent voltage fluctuation comparison. And finally, selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching the time, namely preliminarily judging that the small-load user belongs to the distribution area.
In addition, the system for identifying the cell for the low-load user has the advantages.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart illustrating a method for identifying a cell for a low-load user according to a preferred embodiment of the present invention.
Fig. 2 is a schematic diagram of the subscriber-to-subscriber relationship in the station area a identified by the existing load characteristic identification scheme in step S1 in fig. 1 according to the preferred embodiment of the present invention.
Fig. 3 is a schematic diagram of the time window after expansion in the preferred embodiment of the present invention.
Fig. 4 is a schematic block diagram of a system for identifying a cell of a low-load subscriber according to another embodiment of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the accompanying drawings, but the invention can be embodied in many different forms, which are defined and covered by the following description.
As shown in fig. 1, a preferred embodiment of the present invention provides a method for identifying a cell for a low-load user, which includes the following steps:
step S1: collecting load data of a general table, a small load sub-table to be identified and all identified sub-tables in a distribution room;
step S2: through the sliding of the time window, the opportunity for voltage fluctuation matching is found, and the condition that the jump of the identified sub-table in the time window is single jump or the jump combination can be equivalent to single jump is met;
step S3: and selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching this time.
When the distribution transformer operates, the voltage of the secondary side (user side) of the distribution transformer is influenced by the outside, so that the voltage fluctuation of a transformer area is caused. The factors causing the voltage change of the secondary side of the transformer comprise the voltage change of the primary side (power grid side) and the load change of a transformer area, wherein the voltage change caused by the voltage of the primary side influences all transformer areas and cannot be used as a criterion for identifying the station-to-station relationship, and the voltage change caused by the load of the transformer area is limited in the transformer area and has uniqueness of the transformer area, so that the voltage change can be used for identifying the station-to-station relationship. The voltage fluctuation of the small-load user is consistent with the voltage fluctuation of the affiliated station area although the load measurement value of the small-load user is very small, and the small-load user judges the user variation relationship by utilizing the voltage fluctuation.
It can be understood that, in the method for identifying a cell for a small-load user of this embodiment, first, continuous load data of a summary table, a small-load sub-table to be identified, and all identified sub-tables in the cell are collected, and then load jumps occurring in the identified sub-tables are found through a sliding time window, where the load jumps correspond to start and stop of a large-load electrical appliance in the cell, and can bring relatively obvious voltage fluctuation to the cell, and when a combination of jumps in the time window is selected to be simple, voltage fluctuation in the cell is matched, and at this time, the voltage fluctuation in the cell is simple, which is an ideal time for performing subsequent voltage fluctuation comparison. And finally, selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching the time, namely preliminarily judging that the small-load user belongs to the distribution area.
It can be understood that, as a preferred method, the method for identifying the cell for the low-load user further includes the following steps:
step S4: and repeating the step S2 and the step S3, completing the processing of all the load data, counting all the matching results, if the matching success ratio is greater than the first threshold, determining that the small-load user belongs to the cell, and if the matching success ratio is less than the second threshold, determining that the small-load user does not belong to the cell.
It can be understood that, in the step S4, in order to avoid misjudgment of voltage fluctuation matching caused by accidental factors, multiple times of matching may be performed on the small load user, and all matching results are counted, so as to calculate a ratio of successful matching, and if it is greater than the first threshold, it is determined that the small load user belongs to the station area, and if it is less than the second threshold, it is determined that the small load user does not belong to the station area. If the matching success ratio is between the first threshold and the second threshold, new load data of the general table, the to-be-identified table and the identified table are required to be obtained for further matching, or statistics is continued after the judgment threshold is modified until a matching result of the small-load user is obtained. The step S4 is based on the statistical angle, and combines a large amount of load data, thereby avoiding being affected by a single error and improving the accuracy of the recognition result.
For example, a first threshold is set as a matching success judgment threshold, for example, 80%, a second threshold is set as a matching failure judgment threshold, for example, 50%, when the counted number of times is enough to make the result have statistical significance, if the matching success ratio exceeds the first threshold, the matching between the small load sub-table and the summary table is considered to be successful, the small load sub-table belongs to the table area where the summary table is located, if the matching success ratio is smaller than the second threshold, the matching between the small load sub-table and the summary table is considered to be failed, the small load sub-table does not belong to the table area where the summary table is located, if the ratio is between the two, the statistics is continued or continued after the judgment threshold is modified until the definite affiliation relationship between the small load sub-table and the summary table is obtained.
It is understood that in step S1, the sub-tables in the station area may be identified by using an existing load characteristic scheme, so as to collect load data of the total table and all the identified sub-tables in the station area. Specifically, as shown in fig. 2, it is identified that sub-tables 1, 2, and 3 … … m belong to station area a by an existing load characteristic identification scheme, and sub-tables m +1 and m +2 … … n cannot determine their affiliation by the load characteristic identification scheme because of too small load or no load. The invention identifies the small-load users through the voltage fluctuation of the transformer area on the basis of the load characteristic identification scheme, and is an effective supplement to the load characteristic identification scheme. The general table measures the load of the whole area, the product form can be a modular terminal, a fusion terminal, an area general table and the like, the sub-table measures the family load, the family group load or the branch load, and the product form can be a household meter, a meter box terminal, a branch unit, an intelligent switch and the like. The load data may include, but is not limited to: current, voltage, apparent power, active power, reactive power, power factor, etc.
In addition, it can be understood that the variation of the load is divided into 3 types in the present embodiment: the method comprises the steps of load jump, load smooth fluctuation and load intermediate change, and a load jump threshold value Vh for judging the load jump and a load fluctuation threshold value Vl for judging the load smooth fluctuation are respectively defined. When the change of the load is larger than Vh in the time window, the load jump is considered to occur, and the situation corresponds to the starting and stopping of the large-load electric appliance in the transformer area; when the change of the load is smaller than Vl, the load is considered to be subjected to smooth fluctuation, and the situation corresponds to the situation that the corresponding measuring point does not have the start-stop of the large-load or medium-load electric appliance; when the change in load is greater than Vl and less than Vh, then an intermediate change in load is deemed to have occurred. In step S2, a time window is used to slide in the load data sequence, and if the load value falling in the window meets the requirement that the load change is greater than Vh, a load jump occurs, if the load change of all two adjacent points is less than Vl, the load is considered to be subjected to smooth fluctuation, otherwise, an intermediate state change occurs, and only when the load jump occurs, it means that the large-load electrical appliance is started or stopped in the distribution room, and the voltage fluctuation in the distribution room is caused.
It is to be understood that, as shown in fig. 3, preferably, the time window is further expanded in step S2, the primary side influence determination regions are added on the left and right sides of the original window, that is, the existing time window only includes one load change determination region, while the expanded time window of the present invention includes one load change determination region and two primary side influence determination regions, if the voltage of the summary table in the primary side influence determination region is kept stable, step S3 is continued, if the voltage of the summary table in the primary side influence determination region is not stable, the matching is abandoned, and the time window is slid to perform the matching of the next time interval. In step S2, the time window is expanded, and a primary side influence determination area is added to each of the left and right sides of the load change determination area to evaluate the voltage stability of the summary table, so that only when the voltage of the summary table is kept stable in both the primary side influence determination areas, the influence of the primary side voltage change on the voltage fluctuation can be ignored, and the accuracy of the recognition result is further improved. In actual measurement, more voltage fluctuation curves in low-frequency measurement (such as one point per hour) show the influence of the primary side of the transformer, the node fluctuations in different transformer areas converge at the moment, more influence of load change in the transformer areas is shown in high-frequency measurement (such as one point per second) and the node fluctuations in different transformer areas are different at the moment, so that in actual application, the high-frequency measurement (such as one point per second) is selected in the scheme, and the measurement period (such as 6 seconds) which is several times as large as the size of the primary side influence judgment area and the size of the load change judgment area in the corresponding time window can be selected.
It can be understood that when a single load jump occurs in a time window, that is, only one sub-meter has the load jump, and the rest sub-meters all have smooth fluctuation, at this time, only one large-load electric appliance is started and stopped, which is the best time for performing voltage fluctuation comparison. And if the voltage fluctuation of the small-load user is between the voltage fluctuation of the jump sublist and the voltage fluctuation of the summary table, judging that the matching is successful. When single load jump occurs in the transformer area, in the voltage fluctuation of each node in the transformer area caused by the load jump, the master table is closest to the distribution transformer, the effective path (the line from the secondary side of the transformer to the master table) causing the voltage fluctuation is shortest, so the voltage fluctuation amplitude is smallest, the jump sub table is farther away from the transformer, the effective path (the line from the secondary side of the transformer to the jump sub table) causing the voltage fluctuation is longest, so the fluctuation amplitude is largest, and if the voltage fluctuation of a small-load user is between the fluctuation of the master table and the passivity of the jump sub table at the moment, the matching is considered to be successful.
As shown in the table below, T0 to T4 are consecutive time points in the load change determination region of the time window, and the corresponding values are voltage measurement values.
As can be seen from the table, the voltage fluctuation of the general table is firstly reduced by 0.4V and then increased by 0.1V; the voltage fluctuation of the jump sub-meter is firstly reduced by 1.4V and then increased by 0.1V; and the voltage fluctuation of the small load sub-meter is firstly reduced by 0.8V and then increased by 0.1V. Obviously, the voltage fluctuation of the small-load user is between the fluctuation of the general table and the fluctuation of the jump sub-table, so the matching is successful.
It can be understood that, in another case, when two or more load equidirectional jump combinations appear in a time window, the load equidirectional jump combination can be equivalent to a single load jump, the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all jump sub-tables are selected, and if the voltage fluctuation of a small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, the matching is successful. Specifically, at this time, the voltage fluctuation range of the summary table is still the minimum, the maximum voltage fluctuation range is found out from the plurality of jump sublists according to the measured value, the voltage fluctuation of the small-load user is compared with the voltage fluctuation range of the small-load user, and if the voltage fluctuation of the small-load user is between the voltage fluctuation range of the small-load user and the voltage fluctuation range of the total table, the matching is judged to be successful.
It can be understood that, in another case, when a reverse jump combination of two or more loads appears in a time window and the jump combination can be equivalent to single load jump after forward and reverse cancellation, the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all jump sub-tables are selected, and if the voltage fluctuation of a small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, the matching is successful. Specifically, the maximum and minimum voltage fluctuation amplitudes can be directly found out from the general table and all the jump sublists according to the measured values, the voltage fluctuation of the small-load user is compared with the maximum and minimum voltage fluctuation amplitudes, and if the voltage fluctuation of the small-load user is between the maximum and minimum voltage fluctuation amplitudes, the matching is successful.
The precondition of the invention is that the large load users are identified by other load characteristic schemes, namely the system forms a known large identified domain (most of which are formed by the large load users) and a very small unidentified domain (few of which are formed by the small power users or empty users), because the unidentified domain has no large load start-stop, the occurrence of (equivalent) single jump in the identified domain is equivalent to the occurrence of (equivalent) single jump in the whole platform area, and the voltage fluctuation caused by the single jump meets 1) is the fluctuation caused by the load change in the platform area; 2) the fluctuation is the simplest, so the voltage fluctuation comparison can be used for low-power users. Because the voltage fluctuation of the summary table is small, the comparison condition by effectively using the voltage fluctuation of the summary table is quite harsh, when the two conditions are met, on one hand, the interference of a primary side can be eliminated, on the other hand, the voltage fluctuation of a transformer area is caused by (equivalent) single jump, so that the comparison is simplest, and at the moment, the effective summary table voltage fluctuation comparison can be carried out.
In addition, as shown in fig. 4, another embodiment of the present invention further provides a system for identifying a cell of a low-load user, which preferably adopts the method for identifying a cell of a low-load user according to the foregoing embodiment, and the method includes:
the data acquisition module is used for acquiring load data of a general table, a small load sub-table to be identified and all identified sub-tables in the transformer area;
the load jump query module is used for finding the time for voltage fluctuation matching through the sliding of the time window, and the jump of the identified sub-table in the time window is a single jump or a jump combination can be equivalent to a single jump;
and the matching module is used for performing voltage fluctuation matching of the small-load sub-tables, selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching this time.
It can be understood that, in the system for identifying a cell for a small-load user of this embodiment, first, continuous load data of a summary table, a to-be-identified small-load sub-table, and all identified sub-tables in the cell are acquired by the data acquisition module, and then, load jumps occurring in the identified sub-tables are found by the load jump query module through a sliding time window, where the load jumps correspond to start and stop of a large-load electrical appliance in the cell, and may bring relatively obvious voltage fluctuations to the cell, and when a combination of jumps in the time window is selected to be simple, voltage fluctuations in the cell are matched, and at this time, the voltage fluctuations in the cell are simple, which is an ideal time for performing subsequent voltage fluctuation comparison. And finally, performing voltage fluctuation matching of the small-load sub-tables by using a matching module, selecting the master table and the jump sub-tables with the maximum voltage fluctuation and the minimum voltage fluctuation, and if the voltage fluctuation of the small-load user is between the master table and the jump sub-tables, successfully matching the current time, namely preliminarily judging that the small-load user belongs to the station area.
It can be understood that the system for identifying the cell of the low-load user further comprises: and the counting module is used for counting all the matching results, judging that the small-load user belongs to the distribution area if the matching success ratio is greater than a first threshold value, and judging that the small-load user does not belong to the distribution area if the matching success ratio is less than a second threshold value.
It can be understood that the time window includes a load change determination area and primary side influence determination areas respectively located on the left and right sides of the load change determination area, the load change determination area is used for searching for load jump of all identified sub-tables occurring in the same time interval, the primary side influence determination area is used for eliminating interference of primary side voltage fluctuation on the platform area, if the voltage of the total table in the two primary side influence determination areas is stable, the primary side interference can be eliminated and subsequent matching operation can be performed, and if the voltage of the total table in the primary side influence determination area is unstable, the matching module abandons the matching operation.
It can be understood that the working principle and the working process of each module of the system for identifying the cell of the low-load user in this embodiment correspond to those of the method embodiments described above, and therefore, the details are not described herein again.
The present invention further provides a computer-readable storage medium for storing a computer program for identifying a cell of a low-load user, where the computer program executes the method for identifying a cell of a low-load user according to the above embodiment when running on a computer, and the method specifically includes the following steps:
step S1: collecting load data of a general table, a small load sub-table to be identified and all identified sub-tables in a distribution room;
step S2: through the sliding of the time window, the opportunity for voltage fluctuation matching is found, and the condition that the jump of the identified sub-table in the time window is single jump or the jump combination can be equivalent to single jump is met;
step S3: and selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching this time.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for identifying a cell for a user with a small load,
the method comprises the following steps:
step S1: collecting load data of a general table, a small load sub-table to be identified and all identified sub-tables in a distribution room;
step S2: through the sliding of the time window, the opportunity for voltage fluctuation matching is found, and the condition that the jump of the identified sub-table in the time window is single jump or the jump combination can be equivalent to single jump is met;
step S3: and selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching this time.
2. The method for cell identification of low load subscribers of claim 1,
further comprising the steps of:
step S4: and repeating the step S2 and the step S3, completing the processing of all the load data, counting all the matching results, if the matching success ratio is greater than the first threshold, determining that the small-load user belongs to the cell, and if the matching success ratio is less than the second threshold, determining that the small-load user does not belong to the cell.
3. The method for cell identification of low load subscribers of claim 1,
when single load jump occurs in a time window, if the voltage fluctuation of a small-load user is between the voltage fluctuation of the jump sub-table and the voltage fluctuation of the general table, the matching is successful.
4. The method for cell identification of low load subscribers of claim 1,
when two or more load same-direction jump combinations appear in a time window, the load same-direction jump combination is equivalent to a single load jump, the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all jump sub-tables are selected, and if the voltage fluctuation of a small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, the matching is successful.
5. The method for cell identification of low load subscribers of claim 1,
when reverse jump combinations of two or more loads appear in a time window and the jump combinations can be equivalent to single load jump after forward and reverse counteraction, the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all jump sub-tables are selected, and if the voltage fluctuation of a small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, the matching is successful.
6. Method for cell identification of low load users according to any of claims 1 to 5,
in step S2, the time window is further expanded, the primary side influence determination regions are added on the left and right sides of the time window on the basis of the original window, if the voltage of the summary table in the primary side influence determination region remains stable, step S3 is continuously executed, if the voltage of the summary table in the primary side influence determination region is unstable, the matching is abandoned, and the time window is slid to perform the matching for the next time interval.
7. A system for identifying a cell to a user with a small load,
the method comprises the following steps:
the data acquisition module is used for acquiring load data of a general table, a small load sub-table to be identified and all identified sub-tables in the transformer area;
the load jump query module is used for finding the time for voltage fluctuation matching through the sliding of the time window, and the jump of the identified sub-table in the time window is a single jump or a jump combination can be equivalent to a single jump;
and the matching module is used for performing voltage fluctuation matching of the small-load sub-tables, selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching this time.
8. The system for cell identification of low load subscribers of claim 7,
further comprising: and the counting module is used for counting all the matching results, judging that the small-load user belongs to the distribution area if the matching success ratio is greater than a first threshold value, and judging that the small-load user does not belong to the distribution area if the matching success ratio is less than a second threshold value.
9. The system for cell identification of low load subscribers of claim 7,
the time window comprises a load change judging area and primary side influence judging areas respectively positioned on the left side and the right side of the load change judging area, the load change judging area is used for searching load jump of all recognized sub-tables in the same time interval, the primary side influence judging area is used for eliminating interference of voltage fluctuation of the primary side on the table area, if the voltage of the total table in the two primary side influence judging areas is stable, the primary side interference can be eliminated and subsequent matching operation can be carried out, and if the voltage of the total table in the primary side influence judging area is unstable, the matching module gives up the matching operation.
10. A computer-readable storage medium storing a computer program for cell identification for a light-duty user, wherein the computer program when run on a computer performs the steps of:
step S1: collecting load data of a general table, a small load sub-table to be identified and all identified sub-tables in a distribution room;
step S2: through the sliding of the time window, the opportunity for voltage fluctuation matching is found, and the condition that the jump of the identified sub-table in the time window is single jump or the jump combination can be equivalent to single jump is met;
step S3: and selecting the maximum voltage fluctuation and the minimum voltage fluctuation in the general table and all the jump sub-tables, and if the voltage fluctuation of the small-load user is between the maximum voltage fluctuation and the minimum voltage fluctuation, successfully matching this time.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010937540.8A CN112186740B (en) | 2020-09-09 | 2020-09-09 | Method and system for identifying station area for small-load user and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010937540.8A CN112186740B (en) | 2020-09-09 | 2020-09-09 | Method and system for identifying station area for small-load user and storage medium |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112186740A true CN112186740A (en) | 2021-01-05 |
CN112186740B CN112186740B (en) | 2022-04-08 |
Family
ID=73920082
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010937540.8A Active CN112186740B (en) | 2020-09-09 | 2020-09-09 | Method and system for identifying station area for small-load user and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112186740B (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113092935A (en) * | 2021-04-02 | 2021-07-09 | 北京市腾河智慧能源科技有限公司 | Method, system, equipment and storage medium for identifying small-load line topology |
CN113253189A (en) * | 2021-04-21 | 2021-08-13 | 北京市腾河智慧能源科技有限公司 | Method, system, device and medium for carrying out error analysis on platform area metering device |
CN113376551A (en) * | 2021-06-23 | 2021-09-10 | 北京市腾河智慧能源科技有限公司 | Method, system, device and storage medium for detecting series fault arc |
CN113435799A (en) * | 2021-08-26 | 2021-09-24 | 江苏智臻能源科技有限公司 | Method for improving section freezing confidence coefficient based on natural identification |
CN114050657A (en) * | 2021-11-26 | 2022-02-15 | 北京市腾河智慧能源科技有限公司 | Photovoltaic grid-connected distribution room topology identification method, system, equipment and storage medium |
CN114123190A (en) * | 2021-11-30 | 2022-03-01 | 广东电网有限责任公司 | Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium |
CN114896302A (en) * | 2022-05-09 | 2022-08-12 | 湖南腾河智慧能源科技有限公司 | Method, system, equipment and storage medium for identifying user variation relationship of small-load user |
CN114912526A (en) * | 2022-05-13 | 2022-08-16 | 北京市腾河电子技术有限公司 | Method and system for identifying distribution area, electronic device and storage medium |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170011297A1 (en) * | 2015-01-06 | 2017-01-12 | Ming Li | Power distribution transformer load prediction analysis system |
CN108964034A (en) * | 2018-07-17 | 2018-12-07 | 国网四川省电力公司电力科学研究院 | A kind of area's topology Identification method |
CN110082595A (en) * | 2019-06-17 | 2019-08-02 | 鼎信信息科技有限责任公司 | Phase recognition methods, device and the computer equipment of resident's single-phase electric energy meter |
CN110231528A (en) * | 2019-06-17 | 2019-09-13 | 国网重庆市电力公司电力科学研究院 | Transformer family based on load characteristic model library becomes anomalous identification method and device |
CN110609209A (en) * | 2019-09-23 | 2019-12-24 | 国网四川省电力公司巴中市恩阳供电分公司 | Active sensing method for power loss of distribution room based on Internet of things |
CN110932264A (en) * | 2019-12-06 | 2020-03-27 | 光一科技股份有限公司 | Topology identification method based on terminal intelligent perception of transformer area |
CN111208351A (en) * | 2020-01-17 | 2020-05-29 | 北京市腾河电子技术有限公司 | Method for calculating power supply line impedance based on load jump and storage medium |
CN111600380A (en) * | 2020-03-28 | 2020-08-28 | 青岛鼎信通讯股份有限公司 | Variable load and constant current detection-based household variable relation identification method |
-
2020
- 2020-09-09 CN CN202010937540.8A patent/CN112186740B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170011297A1 (en) * | 2015-01-06 | 2017-01-12 | Ming Li | Power distribution transformer load prediction analysis system |
CN108964034A (en) * | 2018-07-17 | 2018-12-07 | 国网四川省电力公司电力科学研究院 | A kind of area's topology Identification method |
CN110082595A (en) * | 2019-06-17 | 2019-08-02 | 鼎信信息科技有限责任公司 | Phase recognition methods, device and the computer equipment of resident's single-phase electric energy meter |
CN110231528A (en) * | 2019-06-17 | 2019-09-13 | 国网重庆市电力公司电力科学研究院 | Transformer family based on load characteristic model library becomes anomalous identification method and device |
CN110609209A (en) * | 2019-09-23 | 2019-12-24 | 国网四川省电力公司巴中市恩阳供电分公司 | Active sensing method for power loss of distribution room based on Internet of things |
CN110932264A (en) * | 2019-12-06 | 2020-03-27 | 光一科技股份有限公司 | Topology identification method based on terminal intelligent perception of transformer area |
CN111208351A (en) * | 2020-01-17 | 2020-05-29 | 北京市腾河电子技术有限公司 | Method for calculating power supply line impedance based on load jump and storage medium |
CN111600380A (en) * | 2020-03-28 | 2020-08-28 | 青岛鼎信通讯股份有限公司 | Variable load and constant current detection-based household variable relation identification method |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113092935A (en) * | 2021-04-02 | 2021-07-09 | 北京市腾河智慧能源科技有限公司 | Method, system, equipment and storage medium for identifying small-load line topology |
CN113092935B (en) * | 2021-04-02 | 2022-11-29 | 安徽腾河电力技术有限公司 | Method, system, equipment and storage medium for identifying small-load line topology |
CN113253189A (en) * | 2021-04-21 | 2021-08-13 | 北京市腾河智慧能源科技有限公司 | Method, system, device and medium for carrying out error analysis on platform area metering device |
CN113376551B (en) * | 2021-06-23 | 2022-11-08 | 北京市腾河智慧能源科技有限公司 | Method, system, device and storage medium for detecting series fault arc |
CN113376551A (en) * | 2021-06-23 | 2021-09-10 | 北京市腾河智慧能源科技有限公司 | Method, system, device and storage medium for detecting series fault arc |
CN113435799A (en) * | 2021-08-26 | 2021-09-24 | 江苏智臻能源科技有限公司 | Method for improving section freezing confidence coefficient based on natural identification |
CN114050657A (en) * | 2021-11-26 | 2022-02-15 | 北京市腾河智慧能源科技有限公司 | Photovoltaic grid-connected distribution room topology identification method, system, equipment and storage medium |
CN114050657B (en) * | 2021-11-26 | 2023-06-27 | 北京市腾河智慧能源科技有限公司 | Method, system, equipment and storage medium for identifying topology of grid-connected photovoltaic cell |
CN114123190A (en) * | 2021-11-30 | 2022-03-01 | 广东电网有限责任公司 | Method and device for determining target region to which ammeter belongs, electronic equipment and storage medium |
CN114896302A (en) * | 2022-05-09 | 2022-08-12 | 湖南腾河智慧能源科技有限公司 | Method, system, equipment and storage medium for identifying user variation relationship of small-load user |
CN114896302B (en) * | 2022-05-09 | 2024-03-26 | 湖南腾河智慧能源科技有限公司 | User-to-user relationship identification method and system for small-load users, equipment and storage medium |
CN114912526A (en) * | 2022-05-13 | 2022-08-16 | 北京市腾河电子技术有限公司 | Method and system for identifying distribution area, electronic device and storage medium |
CN114912526B (en) * | 2022-05-13 | 2024-04-26 | 北京市腾河电子技术有限公司 | Method and system for identifying areas, electronic equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN112186740B (en) | 2022-04-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112186740B (en) | Method and system for identifying station area for small-load user and storage medium | |
US11982695B2 (en) | Transformer area identification method and computer-readable storage medium | |
US10009064B2 (en) | Method for differentiating power distribution areas and phases by using voltage characteristics | |
CN110659693B (en) | K-nearest neighbor classification-based power distribution network rapid topology identification method, system and medium | |
CN114814420B (en) | Low-voltage distribution network topology identification method and system based on frozen data | |
CN114912526B (en) | Method and system for identifying areas, electronic equipment and storage medium | |
CN111092487B (en) | Method for applying broadband carrier to non-metering function of intelligent electric energy meter | |
CN112234605B (en) | Method and system for identifying station area user variation relation based on load characteristics of starting and stopping of electric appliance | |
CN103869192A (en) | Smart power grid line loss detection method and system | |
CN113092935A (en) | Method, system, equipment and storage medium for identifying small-load line topology | |
CN112463849A (en) | Method for identifying station area subscriber change relationship and computer readable storage medium | |
CN106450520B (en) | A kind of power battery core method for separating and system | |
CN111178679A (en) | Phase identification method based on clustering algorithm and network search | |
CN109342885B (en) | Method and system for positioning line fault of direct-current power distribution network | |
CN114896302B (en) | User-to-user relationship identification method and system for small-load users, equipment and storage medium | |
CN106410791A (en) | Adverse data forward and backward substitution tracking method | |
CN115207909B (en) | Method, device, equipment and storage medium for identifying topology of platform area | |
CN104573034B (en) | User group's division method and system based on CDR tickets | |
CN113721094B (en) | Error analysis method and system for low-voltage station mining system, equipment and storage medium | |
CN112583004B (en) | Method and system for identifying circuit topology based on voltage discreteness and storage medium | |
CN110601208A (en) | Accurate load control method and system based on multi-dimensional load attributes | |
CN115542235A (en) | Method, device and equipment for determining metering error of charging gun and storage medium | |
CN115879271A (en) | Power grid cut set type key power transmission section searching method based on cut set section tree | |
CN113901625A (en) | Power distribution network topological structure verification method and system based on Hausdorff distance | |
Lu et al. | Evaluation of black-start schemes based on prospect theory and improved TOPSIS method |
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 | ||
TR01 | Transfer of patent right |
Effective date of registration: 20231128 Address after: 102200 room 1507, block D, main building, 2 Beinong Road, Huilongguan town, Changping District, Beijing (Changping Demonstration Park) Patentee after: BEIJING TENGINEER AIOT TECH Co.,Ltd. Address before: 102200 202a, Beikong science and technology building, building 2, No. 10, baifuquan Road, science and Technology Park, Changping District, Beijing Patentee before: BEIJING TENHE ELECTRONIC TECHNOLOGY Co.,Ltd. |
|
TR01 | Transfer of patent right |