CN115267323A - Line loss analysis and management system - Google Patents
Line loss analysis and management system Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/061—Details of electronic electricity meters
- G01R22/066—Arrangements for avoiding or indicating fraudulent use
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- 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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- 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
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
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- 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
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
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- 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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- 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
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- 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
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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Abstract
The invention relates to the technical field of line loss analysis, and particularly discloses a line loss analysis management system, which at least comprises: the system comprises a user electric meter, a district general table, a district branch general table, an electricity utilization information acquisition module and an analysis module; the power consumption information acquisition module is used for acquiring power consumption information of a user electric meter, a distribution area general table and a distribution area branch general table, and calculating and acquiring a bus loss rate of the distribution area and a line loss rate of each key branch according to the power consumption information; the analysis module is used for comparing the line loss rate obtained by the electricity consumption information acquisition module with a standard, judging a high-loss distribution area branch and a negative-loss line loss branch, and executing corresponding analysis strategies on the high-loss distribution area branch and the negative-loss distribution area branch; the invention can accurately judge the area causing the abnormal line loss problem, reduces the investigation range, the efficiency and the accuracy of problem determination and solution are improved, and meanwhile, the efficiency of problem determination can be improved through a targeted analysis mode.
Description
Technical Field
The invention relates to the technical field of line loss analysis, in particular to a line loss analysis management system.
Background
The line loss generated in the power system is a project which is difficult to control, the line loss is also called line loss, and is energy loss generated by transmission of electric energy through a power transmission line, the size of the line loss not only affects the revenue and income conditions of a power company, but also is concerned with safe and stable operation of a power grid, so that the line loss needs to be analyzed regularly, timely maintenance is performed on lines with abnormal line loss, and abnormal line loss lines are eliminated timely and effectively.
The analysis of line loss usually adopts a metering data statistics mode to judge the line loss condition in a transformer area, the line loss condition can be determined by collecting relevant parameters of a transformer area general table and a user electric meter, the electric power data of an electric energy meter can be timely collected through the intelligent electric meter, and the data of the user electric meter can be timely received through the communication connection of a server and the intelligent electric meter, the problem of abnormal line loss comprises high loss and low loss, wherein the high loss is caused by management factors or technical factors, such as electricity stealing, electricity leakage, transformer parameter account collection errors, three-phase imbalance and other causes overhigh loss, therefore, when the high loss problem occurs in the transformer area is judged through line loss analysis, the specific reasons of the high loss need to be timely and accurately judged, the economic loss generated by a power supply company is reduced, the low loss is caused by the fact that the data obtained by the transformer area general table or a branch general table area and the actual electric power parameters have large deviation, the occurrence of the low loss affects the accurate acquisition of the total power consumption of the transformer area and the accurate analysis of the transformer area, therefore, the problem of the line loss is caused by various problems and the problems caused by the negative technical problems of the existing transformer area can be solved, and the problems caused by the various problems of the line loss can be solved in the existing method.
Disclosure of Invention
The invention aims to provide a line loss analysis and management system, which solves the following technical problems:
how to provide a management system can assist electric power personnel to judge the reason of line loss abnormity fast and accurately.
The purpose of the invention can be realized by the following technical scheme:
a line loss analysis management system, the system comprising at least:
the system comprises a user electric meter, a district general table, a district branch general table, an electricity utilization information acquisition module and an analysis module;
the power utilization information acquisition module is used for acquiring power utilization information of a user electric meter, a distribution room main table and a distribution room branch main table, and calculating and acquiring a bus loss rate of the distribution room and line loss rates of all key branches according to the power utilization information;
the analysis module is used for comparing the line loss rate obtained by the power utilization information acquisition module with a standard, judging a high-loss distribution area branch and a negative-loss line loss branch, and executing corresponding analysis strategies on the high-loss distribution area branch and the negative-loss distribution area branch.
In one embodiment, the step of the analysis module comprises:
the bus loss rate L of the transformer area General (1) And the standard interval [ L 1 ,L 2 ]And (3) comparison:
if district bus loss rate L General assembly ∈[L 1 ,L 2 ]If the line loss of the transformer area is normal, judging that the line loss of the transformer area is normal;
otherwise, respectively comparing the line loss rate L of each key branch in the distribution area Is divided into And standard interval [ L 1 ,L 2 ]And (3) comparison:
if L is Is divided into ∈[L 1 ,L 2 ]If so, the key branch is not treated;
if L is Is divided into ∈(-∞,L 1 ) Executing a first management factor analysis strategy on the key branch;
if L is Is divided into ∈(L 2 And + ∞), the second management factor analysis strategy and the technical factor analysis strategy are sequentially executed on the key branch.
In one embodiment, the first management factor analysis policy includes:
acquiring an electricity utilization real-time load curve chart of a distribution room branch general table through an electricity utilization information acquisition module;
judging whether the real-time voltage and current data are abnormal:
if the abnormal data exist, the abnormal data items are treated;
otherwise, the table area branch general table is checked in the field.
In one embodiment, the second management factor analysis policy includes:
s1, checking the success rate of electric quantity acquisition of the key branch user through an electric quantity information acquisition module:
if the success rate of collecting the electric quantity of the user is 100%, performing the step S2;
otherwise, the ammeter with the acquisition failure is acquired again;
s2, checking electricity stealing and ammeter abnormal phenomena:
if the electricity stealing phenomenon exists, the electricity stealing treatment is carried out;
if the abnormal phenomenon of the electric meter exists, the electric meter is managed;
if the electricity stealing phenomenon and the abnormal phenomenon of the ammeter do not exist, the step S3 is carried out;
s3, obtaining whether the key branch has photovoltaic access through power grid information:
if the photovoltaic access exists, analyzing the influence of the photovoltaic access;
otherwise, executing the technical factor analysis strategy.
In one embodiment, the technical factor analysis strategy includes:
SS1, obtain the current information of branch's summary table through the power consumption information acquisition module to carry out three-phase balance analysis to this key branch according to current information, and compare analysis result and corresponding standard range:
if the maximum value of the unbalance degree of the three-phase current is within the standard range, performing the step SS2;
otherwise, carrying out three-phase balance treatment;
SS2, performing power consumption analysis of a terminal power user:
if the line loss is judged to be caused by the tail end power user, the tail end power user is controlled;
otherwise, checking according to the fault factors of the historical line loss rate.
Further, the three-phase balance treatment process comprises the following steps:
performing nuclear phase drawing on the transformer area to obtain a topological graph of the transformer area;
importing the topological graph of the transformer area and power utilization data into a theoretical calculation system to obtain a phase modulation scheme;
and finishing three-phase balance treatment according to a phase modulation scheme.
In one embodiment, the process of the end power user analysis is:
checking the end power users A of each zone branch 1 、A 2 、…A n N represents the total end power user number;
acquiring historical line loss rate data in a specific period before the transformer area and power consumption data of each terminal power user;
if the line loss rate meets the requirement A i When the line loss rate does not meet the requirement A without working i If working, determine A i Influencing the line loss rate of the transformer area and treating the tail end power user, wherein i belongs to the field of 1,n];
Otherwise, the end power user is checked in the field.
Further, the process of the end power user management is as follows:
calculating reactive compensation quantity according to historical average power consumption in a specific period of a power user;
and installing corresponding reactive compensation equipment according to the calculated reactive compensation amount.
Further, the photovoltaic access influence analysis process comprises the following steps:
acquiring historical power generation information in a previous specific period of the photovoltaic power station;
obtaining the line loss rate information in a specific period before the key branch;
judging whether the photovoltaic power generation capacity and the line loss rate are in positive correlation or not:
if the positive correlation is formed, judging that the photovoltaic access mode is unreasonable, and managing the photovoltaic access mode;
otherwise, judging that the photovoltaic access mode is reasonable.
In one embodiment, the process of electricity stealing verification includes:
respectively acquiring qualified line loss power consumption data and line loss deviation power consumption data of a user in a specific period;
respectively calculating the average electricity consumption E when the online loss of each user is qualified n And average power consumption E at the time of line loss deviation u And by the formulaCalculating deviation ratio d, and comparing the deviation ratio d with threshold value d th And (3) carrying out comparison:
if d is greater than or equal to d th If yes, judging the user as a suspected user of stealing electricity;
if d < d th If so, judging the user as a normal user;
and carrying out system data thorough copying and on-site investigation and confirmation on the electricity stealing suspicion user. The invention has the beneficial effects that:
(1) According to the method, the distribution room is divided into a plurality of analysis areas through the partition summary table data, and independent line loss calculation is carried out on each area, so that the area causing the abnormal line loss problem can be accurately judged, the power operation and maintenance personnel are helped to reduce the investigation range, and the efficiency and accuracy of problem determination and solution are improved; meanwhile, the efficiency of problem determination can be improved by a targeted analysis mode in the system, and further, the problem of line loss abnormity can be rapidly solved by electric power operation and maintenance personnel.
(2) After the negative loss problem is determined, the real-time voltage and current are automatically analyzed by acquiring the power utilization real-time load curve chart of the branch general table, so that whether the ammeter is abnormal or not can be preliminarily judged, and then the on-site troubleshooting is carried out, the accuracy and pertinence of the troubleshooting can be effectively improved, and the negative loss problem troubleshooting and the efficiency of solving are further assisted by electric power operation and maintenance personnel.
(3) The invention analyzes the line loss management factors in turn according to the frequency of the problems, the difficulty of problem troubleshooting and the severity, thereby improving the efficiency of high loss analysis.
(4) According to the invention, through analyzing and comparing the terminal power user information with the line loss rate historical information, the influence of the terminal power user on high loss can be initially judged, and the investigation range of the terminal user is further reduced.
(5) According to the invention, through the analysis of the photovoltaic power generation capacity and the line loss rate, whether the photovoltaic access influences the line loss rate can be judged, and then the high loss problem can be judged more conveniently and accurately.
(6) The invention can remotely carry out preliminary confirmation on the electricity stealing risk users of the users, and can greatly reduce the range of troubleshooting on the electricity stealing users by thoroughly copying the system data of the electricity stealing suspicion users when further carrying out on-site troubleshooting confirmation, thereby effectively reducing the workload of the electric power operation and maintenance personnel.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a logical block diagram of the line loss analysis management system of the present invention.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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, in an embodiment, a line loss analysis management system is provided to assist an electric power worker in analyzing and judging an accurate reason of abnormal line loss, specifically, the system acquires power consumption information of a user electric meter, a district summary table and a district branch summary table through a power consumption information acquisition module, and calculates and obtains a bus loss rate of a district and a line loss rate of each key branch according to the power consumption information, in the process, a line loss rate = (∑ input power amount- ∑ output power amount) ∑ input power amount × 100% according to a calculation method of the line loss rate, a result calculated by the formula is a statistical line loss rate, and is suitable for calculating the bus loss rate and the branch summary table, specifically, the line loss of the branch summary table is calculated by taking a total power consumption of the user electric meter below as an output power amount, the method comprises the steps that the electric quantity measured by a branch general meter is used as input electric quantity, then the line loss rate of the branch general meter is obtained through calculation, similarly, the line loss rate of a station area general meter is calculated by taking the electric quantity measured by each branch electric meter under the station area general meter as output electric quantity and taking the electric quantity measured by the station area general meter as input electric quantity, then the line loss rate of the station area general meter can be calculated, in the process, the station area is divided into a plurality of analysis areas through the data of the zone area general meter, and independent line loss calculation is carried out aiming at each area.
Simultaneously, this system still carries out further analysis through the line loss rate that analysis module obtained to power consumption information acquisition module, and is concrete, analysis module compares the line loss rate that obtains with the standard with calculating, judge that the line loss of platform district branch is normal, high loss or burden loss, simultaneously to high loss and burden loss problem, analysis module can adopt different analysis strategy to come to confirm the problem, because the reason that high loss and burden loss produced is different, consequently the efficiency of confirming the problem can be improved to the pertinent analytic mode in this system, and then can assist the quick unusual problem of line loss of electric power fortune dimension personnel to solve.
As an embodiment of the present invention, the operation of the analysis module in this embodiment includes: the bus loss rate L of the transformer area General (1) And the standard interval [ L 1 ,L 2 ]And (3) comparison: if district bus loss rate L General assembly ∈[L 1 ,L 2 ]If the bus loss rate of the transformer area is normal, judging that the line loss of the transformer area is normal; when bus loss rateWhen the line loss rate L of each key branch of the transformer area is abnormal, the abnormal bus loss rate of the transformer area is explained, and the line loss rates L of all key branches of the transformer area are respectively calculated at the moment Is divided into And standard interval [ L 1 ,L 2 ]And (3) comparison: if L is Is divided into ∈[L 1 ,L 2 ]The line loss rate of the branch is normal, so that the critical branch is not treated; if L is Is divided into ∈(-∞,L 1 ) To illustrate that the critical branch is negative loss, for the reason causing the negative loss, the embodiment makes a corresponding first management factor analysis policy to perform corresponding analysis on the critical branch, and if L is L, the corresponding analysis policy is set Is divided into ∈(L 2 And + ∞), when the critical branch is high loss, a second management factor analysis strategy and a technical factor analysis strategy are sequentially executed on the critical branch, specifically, the reason causing the high loss comprises management factors and technical factors, and the investigation of the management factors is simpler than the determination and processing of the technical factors, so that the management factors are preferably investigated and solved, and when the investigation is free of problems, the technical factors are further analyzed and solved, so that the efficiency of problem investigation and solution can be improved.
It should be noted that, in the theoretical analysis, there may be a situation that the critical branch high loss and negative loss exist at the same time, which causes the normal amount of the bus line loss, but this phenomenon actually occurs with a very low probability, so it is not considered, and then, whether the amount of the line loss is normal or not can be determined through the calculation of the branch line loss.
Further, the first management factor analysis strategy for low loss problems includes: acquiring an electricity utilization real-time load curve chart of a distribution room branch general table through an electricity utilization information acquisition module; judging whether the real-time voltage and current data are abnormal: if the abnormal data exist, the abnormal data items are treated; otherwise, the branch summary table of the transformer area is checked on the spot, when the negative loss problem is analyzed, the abnormity of the ammeter is usually reflected in the electric power data, in one example, the line loss rate of the transformer area is a negative value due to the loss of the C-phase voltage, the transformer area is further checked and judged, and the negative loss is judged to be caused by the fact that the C-phase voltage sheet is not in contact with the screw.
Further, when a high loss problem occurs, the management factors are first checked, specifically, the second management factor analysis policy in this embodiment includes: s1, checking the success rate of electric quantity acquisition of the key branch user through an electric quantity information acquisition module: if the success rate of collecting the electric quantity of the user is 100%, performing the step S2; otherwise, the ammeter with the acquisition failure is acquired again; when the system has a high loss problem in line loss, the success rate of user power acquisition is firstly determined, and the obtained line loss rate is larger under the condition that partial user variables are not successfully acquired, so that calculation deviation is caused, and errors caused by data statistics on line loss calculation can be avoided by determining the acquisition success rate; when the acquisition success rate is 100%, the step S2 is carried out to check electricity stealing and abnormal phenomena of the electric meter: if the phenomenon of electricity stealing exists, the electricity stealing is managed; if the abnormal phenomenon of the electric meter exists, the electric meter is treated; if the electricity stealing and electricity meter abnormal phenomena do not exist, the step S3 is carried out; through the affirmation and the investigation to stealing the electric factor, can avoid confirming or getting rid of and steal the influence that the electric factor caused to the high loss, simultaneously, the unreasonable of photovoltaic access mode also can cause the high loss problem in the platform district, and photovoltaic' S access can exist in the electric wire netting information, consequently, step S3 obtains this key branch through the electric wire netting information whether there is photovoltaic access: if the photovoltaic access exists, analyzing the influence of the photovoltaic access, and judging the rationality of the photovoltaic access; if photovoltaic access does not exist, it is indicated that the occurrence of the high loss problem comes from technical factors, and therefore, a technical factor analysis strategy is executed, and therefore, the line loss management factors are analyzed in sequence according to the frequency of occurrence of the problem, the difficulty of problem troubleshooting and the severity, and the efficiency of high loss analysis is improved.
Further, the technical reasons for causing high loss mainly include three-phase imbalance and power consumption of the end power users, so the technical factor analysis strategy includes: step SS1, acquiring current information of a branch general table through an electricity utilization information acquisition module, carrying out three-phase balance analysis on the key branch according to the current information, comparing an analysis result with a corresponding standard range, specifically, judging the maximum value of three-phase current unbalance degree of the key branch through the acquired historical phenomena of the A phase, the B phase and the C phase, if the maximum value of the three-phase current unbalance degree is in the standard range, indicating that the key branch is three-phase balanced, and carrying out further analysis in step SS3, otherwise, indicating that the high loss of the key branch is caused by three-phase unbalance, and therefore carrying out three-phase balance treatment; step SS2, analyzing the power consumption of the tail-end power user, specifically, judging whether the high loss is caused by the tail-end power user according to the power consumption data of the tail-end power user, and if the high loss is judged to be caused by the tail-end power user, treating the tail-end power user; otherwise, troubleshooting is performed according to historical line loss rate fault factors, so that the embodiment can accurately troubleshoot high loss caused by technical factors by sequentially judging three-phase balance and terminal power user influence, and further assist electric power operation and maintenance personnel to accurately and efficiently determine and solve the problem.
As an embodiment of the present invention, this embodiment provides a three-phase equilibrium treatment method, which includes the following steps: the method comprises the steps of performing nuclear phase drawing on a transformer area to obtain a transformer area topological graph, and leading the transformer area topological graph and power utilization data into a theoretical computing system, so that a phase modulation scheme can be obtained, wherein the theoretical computing system can be completed by adopting existing generous software, so that phase modulation operation is performed on users with unbalanced three phases according to an optimized phase modulation scheme output by analysis software, the problem of unbalanced three phases can be effectively treated, and line loss is reduced.
As an embodiment of the present invention, the process of the end-user analysis is as follows: firstly, the terminal power user A of each district key branch is checked according to the power grid information 1 、A 2 、…A n N represents the total number of the tail end power users, the tail end power users are analyzed, specifically, historical line loss rate data in a specific period before the distribution area and power consumption data of each tail end power user are obtained, and if the line loss rate meets the requirement, A is used for judging whether the power consumption rate meets the requirement i A when the line loss rate does not meet the requirement without working i Working, it means that the power consumption of the end power user has an influence on the line loss, so it is judged that A i Influencing the line loss rate of the transformer area and governing the tail end power user, wherein i belongs to [1,n ]](ii) a Otherwise, the terminal power user is checked in the field; judging whether the electricity consumption of the tail-end power user affects the line loss or not according to the actual condition; therefore, in the embodiment, through analyzing and comparing the information of the end power user with the historical information of the line loss rate, the influence of the end power user on the high loss can be initially judged, so that the investigation range of the end user is reduced, and the investigation efficiency is improved.
It should be noted that the end power consumer refers to an industrial power consumer.
Further, the process of treating the end power user is as follows: the reactive compensation amount is calculated according to the historical average power consumption in the specific period of the power user, corresponding reactive compensation equipment is installed according to the calculated reactive compensation amount, and the high loss caused by the power consumption of the end user can be reduced by carrying out reactive compensation with the corresponding size on the end user.
As an embodiment of the present invention, in this embodiment, the process of analyzing influence of photovoltaic access is: firstly obtaining historical power generation amount information in a specific period before a photovoltaic power station, simultaneously obtaining line loss rate information in the specific period before the key branch, and then judging whether the photovoltaic power generation amount is in positive correlation with the line loss rate, obviously, when the photovoltaic power generation amount is in positive correlation with the line loss rate, the fact that the access of photovoltaic power generation affects the line loss rate of a transformer area is described, therefore, the fact that the photovoltaic access mode is unreasonable is described, the photovoltaic access mode needs to be controlled, if the photovoltaic power generation amount is not in positive correlation, the fact that the access of photovoltaic power does not affect the line loss rate is described, therefore, the photovoltaic access mode is judged reasonably, concretely, the judgment of positive correlation can establish a power generation amount-line loss rate coordinate in the same time interval, and whether the positive correlation is achieved or not is judged according to the change trend of a drawn graph, therefore, through the analysis of the photovoltaic power generation amount and the line loss rate, whether the access of photovoltaic power generation amount affects the line loss rate can be judged, and then the high loss problem can be judged more conveniently and accurately.
As one embodiment of the invention, the electricity stealing mode comprises the steps of bypassing the metering device to steal electricity, changing or destroying the metering device to steal electricity, wherein the changingThe electricity stealing mode of changing or destroying the metering device to steal electricity can be judged according to the data transmitted by the ammeter, and the remote analysis of the electricity stealing mode bypassing the metering device is difficult, so that the electricity stealing checking process in the embodiment firstly obtains the qualified electricity consumption data and the deviation electricity consumption data of the line loss of the user in a specific period respectively, and respectively calculates the average electricity consumption E of each user when the line loss is qualified n And average power consumption E at the time of line loss deviation u And by the formulaCalculating deviation ratio d, and comparing the deviation ratio d with threshold value d th Comparing, it is obvious that when d is larger than or equal to d th When the power consumption of the user in the distribution area is qualified, the difference between the power consumption of the user in the distribution area and the power consumption of the user in the high loss is larger, so that the situation that the user steals electricity is doubtful is shown, and when d is less than d th When the electricity stealing risk user is confirmed on site, the system data is thoroughly copied to the electricity stealing suspicion user, the investigation range of the electricity stealing user can be greatly reduced, the workload of electric power operation and maintenance personnel is effectively reduced, and meanwhile the problem investigation efficiency is improved.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (10)
1. A line loss analysis management system, characterized in that the system comprises at least:
the system comprises a user electric meter, a district general table, a district branch general table, an electricity utilization information acquisition module and an analysis module;
the power utilization information acquisition module is used for acquiring power utilization information of a user ammeter, a district master table and a branch master table of a district, and calculating and acquiring a bus loss rate of the district and a line loss rate of each key branch according to the power utilization information;
the analysis module is used for comparing the line loss rate obtained by the power utilization information acquisition module with a standard, judging a high-loss distribution area branch and a negative-loss line loss branch, and executing corresponding analysis strategies on the high-loss distribution area branch and the negative-loss distribution area branch.
2. A line loss analysis and management system according to claim 1, wherein said analysis module is operable to:
the bus loss rate L of the transformer area General assembly And the standard interval [ L 1 ,L 2 ]And (3) comparison:
if district bus loss rate L General assembly ∈[L 1 ,L 2 ]Judging that the line loss of the transformer area is normal;
otherwise, respectively comparing the line loss rate L of each key branch in the distribution area Is divided into And the standard interval [ L 1 ,L 2 ]And (3) comparison:
if L is Is divided into ∈[L 1 ,L 2 ]If so, the key branch is not treated;
if L is Is divided into ∈(-∞,L 1 ) Executing a first management factor analysis strategy on the key branch;
if L is Is divided into ∈(L 2 And + ∞), the second management factor analysis strategy and the technical factor analysis strategy are sequentially executed on the key branch.
3. The line loss analysis and management system of claim 2, wherein the first management factor analysis policy comprises:
acquiring an electricity utilization real-time load curve chart of a distribution room branch general table through an electricity utilization information acquisition module;
judging whether the real-time voltage and current data are abnormal:
if the abnormal data exist, the abnormal data items are treated;
otherwise, the table area branch general table is checked in the field.
4. The line loss analysis and management system of claim 2, wherein the second management factor analysis policy comprises:
s1, checking the success rate of electric quantity acquisition of the key branch user through an electric quantity information acquisition module:
if the success rate of collecting the electric quantity of the user is 100%, performing the step S2;
otherwise, collecting the ammeter again after the collection fails;
s2, checking electricity stealing and ammeter abnormal phenomena:
if the electricity stealing phenomenon exists, the electricity stealing treatment is carried out;
if the abnormal phenomenon of the electric meter exists, the electric meter is managed;
if the electricity stealing and electricity meter abnormal phenomena do not exist, the step S3 is carried out;
s3, obtaining whether the key branch has photovoltaic access through power grid information:
if the photovoltaic access exists, analyzing the influence of the photovoltaic access;
otherwise, executing the technical factor analysis strategy.
5. The line loss analysis and management system of claim 2, wherein the technical factor analysis strategy comprises:
SS1, the current information of the branch summary table is obtained through the electricity consumption information acquisition module, the three-phase balance analysis is carried out on the key branch according to the current information, and the analysis result is compared with the corresponding standard range:
if the maximum value of the unbalance degree of the three-phase current is within the standard range, performing the step SS2;
otherwise, carrying out three-phase balance treatment;
SS2, performing power consumption analysis of a terminal power user:
if the line loss is judged to be caused by the tail end power user, the tail end power user is controlled;
otherwise, checking according to the fault factors of the historical line loss rate.
6. The line loss analysis and management system of claim 5, wherein the three-phase balance governance process is as follows:
performing nuclear phase drawing on the transformer area to obtain a topological graph of the transformer area;
importing the topological graph of the transformer area and power utilization data into a theoretical calculation system to obtain a phase modulation scheme;
and finishing three-phase balance treatment according to a phase modulation scheme.
7. The line loss analysis and management system of claim 5, wherein the end-user analysis comprises:
checking the end power users A of each zone branch 1 、A 2 、…A n N represents the total end power user number;
acquiring historical line loss rate data in a specific period before the transformer area and power consumption data of each terminal power user;
if the line loss rate meets the requirement A i When the line loss rate does not meet the requirement A without working i When working, determine A i Influencing the line loss rate of the transformer area and treating the tail end power user, wherein i belongs to the field of 1,n];
Otherwise, the end power user is checked in the field.
8. The line loss analysis and management system of claim 4, wherein the end power user management process comprises:
calculating reactive compensation quantity according to historical average power consumption in a specific period of a power user;
and installing corresponding reactive compensation equipment according to the calculated reactive compensation amount.
9. The line loss analysis and management system according to claim 4, wherein the photovoltaic access impact analysis is performed by:
acquiring historical power generation information in a previous specific period of the photovoltaic power station;
obtaining the line loss rate information in a specific period before the key branch;
judging whether the photovoltaic power generation capacity and the line loss rate are in positive correlation or not:
if the positive correlation is formed, judging that the photovoltaic access mode is unreasonable, and managing the photovoltaic access mode;
otherwise, judging that the photovoltaic access mode is reasonable.
10. The line loss analysis and management system of claim 4, wherein the electricity stealing check process comprises:
respectively acquiring qualified line loss power consumption data and line loss deviation power consumption data of a user in a specific period;
respectively calculating the average electricity consumption E when the online loss of each user is qualified n And average power consumption E at the time of line loss deviation u And by the formulaCalculating deviation ratio d, and comparing the deviation ratio d with threshold value d th And (3) carrying out comparison:
if d is greater than or equal to d th If yes, judging the user as a suspected user of stealing electricity;
if d < d th If yes, judging the user as a normal user;
and carrying out system data thorough copying and on-site investigation and confirmation on the electricity stealing suspicion user.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115718217A (en) * | 2022-11-25 | 2023-02-28 | 中国电力科学研究院有限公司 | Line loss hierarchical analysis method and system |
CN116520019A (en) * | 2023-06-30 | 2023-08-01 | 中国电力科学研究院有限公司 | Intelligent electric energy metering device and circuit topology identification method |
CN116596348A (en) * | 2023-07-18 | 2023-08-15 | 山东盛德智能科技股份有限公司 | Platform area line loss analysis method based on minute-level acquisition |
CN117761468A (en) * | 2024-02-22 | 2024-03-26 | 国网甘肃省电力公司张掖供电公司 | multi-parameter operation state monitoring method and system for new energy power station |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2008057808A2 (en) * | 2006-11-02 | 2008-05-15 | Current Technologies, Llc | Power theft detection system and method |
KR20120094337A (en) * | 2011-02-16 | 2012-08-24 | 한국에너지기술연구원 | Losses yield method of grid-connected photovoltaic system and apparatus thereof |
US20160117326A1 (en) * | 2014-10-28 | 2016-04-28 | Oracle International Corporation | Correlating consumption and voltage data to identify line loss in an electric grid |
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 |
CN112308732A (en) * | 2020-10-21 | 2021-02-02 | 国网冀北电力有限公司计量中心 | Intelligent management platform for line loss of transformer area based on artificial intelligence and data interaction simulation technology |
CN113098130A (en) * | 2021-03-02 | 2021-07-09 | 国网河北省电力有限公司邢台供电分公司 | Analysis system for monitoring line loss abnormity problem of low-voltage transformer area |
CN113221931A (en) * | 2020-12-23 | 2021-08-06 | 国网吉林省电力有限公司电力科学研究院 | Electricity stealing prevention intelligent identification method based on electricity utilization information acquisition big data analysis |
CN113267692A (en) * | 2021-05-17 | 2021-08-17 | 国网吉林省电力有限公司营销服务中心 | Low-voltage transformer area line loss intelligent diagnosis and analysis method and system |
CN113469486A (en) * | 2021-04-19 | 2021-10-01 | 国网河北省电力有限公司电力科学研究院 | Line negative loss and high loss analysis method |
CN114094705A (en) * | 2021-11-18 | 2022-02-25 | 贵州电网有限责任公司 | Low-voltage distribution room electricity stealing monitoring system based on line loss and user electricity consumption |
WO2022041264A1 (en) * | 2020-08-31 | 2022-03-03 | 苏州大成电子科技有限公司 | Method for supporting operation of rail transit power system with big data |
-
2022
- 2022-08-01 CN CN202210918433.XA patent/CN115267323B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2008057808A2 (en) * | 2006-11-02 | 2008-05-15 | Current Technologies, Llc | Power theft detection system and method |
KR20120094337A (en) * | 2011-02-16 | 2012-08-24 | 한국에너지기술연구원 | Losses yield method of grid-connected photovoltaic system and apparatus thereof |
US20160117326A1 (en) * | 2014-10-28 | 2016-04-28 | Oracle International Corporation | Correlating consumption and voltage data to identify line loss in an electric grid |
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 |
WO2022041264A1 (en) * | 2020-08-31 | 2022-03-03 | 苏州大成电子科技有限公司 | Method for supporting operation of rail transit power system with big data |
CN112308732A (en) * | 2020-10-21 | 2021-02-02 | 国网冀北电力有限公司计量中心 | Intelligent management platform for line loss of transformer area based on artificial intelligence and data interaction simulation technology |
CN113221931A (en) * | 2020-12-23 | 2021-08-06 | 国网吉林省电力有限公司电力科学研究院 | Electricity stealing prevention intelligent identification method based on electricity utilization information acquisition big data analysis |
CN113098130A (en) * | 2021-03-02 | 2021-07-09 | 国网河北省电力有限公司邢台供电分公司 | Analysis system for monitoring line loss abnormity problem of low-voltage transformer area |
CN113469486A (en) * | 2021-04-19 | 2021-10-01 | 国网河北省电力有限公司电力科学研究院 | Line negative loss and high loss analysis method |
CN113267692A (en) * | 2021-05-17 | 2021-08-17 | 国网吉林省电力有限公司营销服务中心 | Low-voltage transformer area line loss intelligent diagnosis and analysis method and system |
CN114094705A (en) * | 2021-11-18 | 2022-02-25 | 贵州电网有限责任公司 | Low-voltage distribution room electricity stealing monitoring system based on line loss and user electricity consumption |
Non-Patent Citations (2)
Title |
---|
HUO NA等: "Line loss management for transformer courts based on data visualization", 《2018 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION》 * |
周清华;陈明;安怡然;: "基于信息系统台区线损的管理与实践", 科技资讯, no. 04 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115718217A (en) * | 2022-11-25 | 2023-02-28 | 中国电力科学研究院有限公司 | Line loss hierarchical analysis method and system |
CN116520019A (en) * | 2023-06-30 | 2023-08-01 | 中国电力科学研究院有限公司 | Intelligent electric energy metering device and circuit topology identification method |
CN116520019B (en) * | 2023-06-30 | 2023-09-12 | 中国电力科学研究院有限公司 | Intelligent electric energy metering device and circuit topology identification method |
CN116596348A (en) * | 2023-07-18 | 2023-08-15 | 山东盛德智能科技股份有限公司 | Platform area line loss analysis method based on minute-level acquisition |
CN117761468A (en) * | 2024-02-22 | 2024-03-26 | 国网甘肃省电力公司张掖供电公司 | multi-parameter operation state monitoring method and system for new energy power station |
CN117761468B (en) * | 2024-02-22 | 2024-05-24 | 国网甘肃省电力公司张掖供电公司 | Multi-parameter operation state monitoring method and system for new energy power station |
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