CN114971168A - An abnormal analysis method of cable line loss rate during the same period based on multi-system interaction - Google Patents

Abstract

A cable line synchronous line loss rate abnormity analysis method based on multi-system interaction belongs to the field of power operation management. Analyzing the topological structure of the cable line; determining whether a distribution network automation system is effectively configured; if the distribution network automation system is not configured, a bottom-up analysis method is carried out according to the calculation results of the power supply side electric quantity, the power selling side electric quantity and the line loss rate; if the distribution network automation system is configured, a top-down analysis method is carried out, and the data correctness of the power supply side and the power sale side of the connecting circuit is analyzed; meanwhile, a fault scene is pre-judged in advance through a distribution network automation system, and the line with unreasonable pre-judged line loss rate is analyzed. Through multi-system interaction among three sections of a transformer substation, a line and a platform area, corresponding analysis methods are respectively provided according to whether distribution network automation is configured or not, the analysis methods are matched with each other under the principle of synchronous line loss calculation of 'T + 2', the reasonable rate of the line is improved, the analysis time can be effectively shortened, and the analysis efficiency is improved.

Description

An abnormal analysis method of cable line loss rate during the same period based on multi-system interaction

technical field

The invention belongs to the field of electric power operation management, and in particular relates to an abnormal analysis method used for the synchronous line loss rate of cable lines.

Background technique

The line loss rate of the distribution network is an important economic and technical indicator of the power supply enterprise, which directly reflects the management level and economic benefits of the enterprise.

Under the "four-point" line loss management mode of "division, voltage division, line division, and station division", the calculation data of line loss rate of 10 kV branch line (also known as 10 kV cable line, referred to as cable or line) is huge. , the system has a wide range of sources, and the unreasonable reasons are complex, involving many aspects such as the power supply side gateway, the topology structure, and the electricity sales side gateway.

In the document "Power System Protection and Control" (Tang Dengping, Li Jun, Meng Zhan, et al. "Research on the Accuracy of Statistical Line Loss Data", 2018, 46(24): 33-39.), measure from the statistical line loss The error of the device is analyzed to analyze its influence on the accuracy of line loss data; in the document "Measurement Model of Line Loss Rate of Medium Voltage Distribution Network Considering Feeder Clustering Characteristics" (Ouyang Sen, Feng Tianrui, An Xiaohua. "Electric Power Automation Equipment", 2016 , 36(09):33-39.), proposed a 10kV distribution network line loss rate measurement model considering the clustering characteristics of feeders; Cai Rang, Zhou Li. "Journal of Electric Power System and its Automation", 2018, 30(06): 145-150.), the 10kV line with high loss is screened out through the gray correlation based on the entropy weight method, and energy saving is implemented for it Retrofit to reduce line loss rate. The above literatures propose methods to reduce the line loss rate of 10kV distribution network, but they focus on theoretical analysis and lack practical analysis and application.

In the document "10kV line loss analysis based on multi-system data information interaction" (Li Bingruo, Xia Shu. "Shanghai Electric Power", 2018, 31(4): 27-31.), based on the information between multiple systems Interaction, for the dedicated line and the public line, respectively put forward the 10kV line loss analysis steps at the same time, but did not carry out a specific analysis of the cable line; the document "The Application of Line Loss Analysis in Distribution Automation" (Wang Huasheng. "Communication World" ", 2019, 26(06): 231-232.), in the context of the application of information technology, the application of line loss analysis in distribution network automation is studied, but no specific analysis method is proposed; "Application of Line Loss Analysis in Automation" (Huang Jian. "Electrical Engineering (Electric Power) Society of Six Provinces and One City in East China. Proceedings of the 19th Transmission and Distribution Seminar". Electrical Engineering (Electric Power) Society of Six Provinces and One City in East China: Zhejiang Association for Science and Technology, 2011: 5.), based on the application of distribution network automation, proposed the design idea of line loss analysis and the feasibility of the scheme, but focused on the installation of on-site reactive power compensation devices; in the document "Based on AHP- Research on abnormal line loss analysis method of CRITIC algorithm" (Xu Lingyan, Yang Fengxin, Zhang Haixin, et al. "Information Technology", 2020, 44(12): 116-120.) and "Line Loss Calculation Based on BP Neural Network" (Liu Tian Ming. Nanchang University, 2020.), from the perspective of algorithm, the analysis of abnormal line loss rate of distribution network is optimized, but it lacks practicality.

To sum up, although the line loss management work has been fully digitalized, the systems involved are independent of each other, the data obtained is complex and heterogeneous, and the on-site inspection is far away, takes a long time, and even fails to troubleshoot. Under the background that the State Grid Corporation vigorously promotes the management of line loss during the same period, the reason for the abnormal line loss rate of the 10kV branch line is quickly and efficiently analyzed, and the fault is quickly and accurately checked. It seems very important.

SUMMARY OF THE INVENTION

The technical problem to be solved by the present invention is to provide a method for analyzing the abnormality of the line loss rate in the same period of the cable line based on multi-system interaction. It interacts with multiple systems such as synchronization, data acquisition and monitoring (SCADA), electrical energy acquisition, and power consumption information acquisition among the three sections of substations, lines, and station areas, respectively for unconfigured and configured distribution network automation. , proposed a targeted analysis method for abnormal line loss rate of 10 kV cable lines as an investigation method, which can cooperate with each other under the principle of "T+2" for line loss calculation during the same period, while improving the reasonable rate of the line, it can effectively Shorten analysis time and improve analysis efficiency.

The technical scheme of the present invention is to provide a method for analyzing the abnormal line loss rate of a cable line during the same period based on multi-system interaction, including analyzing the abnormal line loss rate of a certain 10 kV cable line; it is characterized by:

1) According to the multi-system data interaction between the substation, the line and the station area, analyze the topological structure or topological association of the cable line;

2) According to the obtained topology of the cable line, determine whether the line is effectively configured with a distribution automation system;

3) If the line is not effectively configured with the distribution network automation system, the power information of the incoming and outgoing lines of the switch station provided by the line cannot be obtained, and can only be analyzed through the calculation results of the power supply side power, the power sales side power and the line loss rate, which is " "Bottom-up" analysis method, it is known that the line loss rate is unreasonable, and then the reasons are gradually checked upwards in turn;

4) If the line has been effectively configured with a distribution network automation system, the power information of the incoming and outgoing lines of the switch station provided by the line can be obtained, which can assist in analyzing the correctness of the data connecting the power supply side and the power sales side of the line; It is "T+2", that is, the line loss rate is calculated after 2 days. The distribution network automation system is used to predict the failure scenario in advance to speed up the problem discovery and processing speed, which is the "top-down" analysis method. The power-like data is used to analyze the lines with unreasonable predicted line loss rate.

Wherein, the multi-system includes at least a synchronization system, a data collection and monitoring system, an electric energy collection system and an electricity consumption information collection system.

Specifically, the method for analyzing the abnormal line loss rate during the same period of the cable line adopts the "bottom-up" terminal inspection method for the situation that the line is not effectively configured with the distribution network automation system, and checks the cause of the line with abnormal line loss rate. Find the cause of line A with abnormal line loss rate.

Further, the search steps of the described "bottom-up" terminal investigation method include:

Step 1: Check the topology association of line A, if there is no abnormality, go to step 2;

Step 2: Check the power supply side of line A, and use the SCADA system to compare the data in the power acquisition system; the daily average current I _A and the daily average voltage U _A of line A in SCADA, the line A with abnormal line loss rate can be obtained. The daily power supply W _AS is:

In the formula, U _A is the line voltage; h is the time, that is, 24 hours;

If the daily power supply W _AS is not equal to the daily electricity sales W _iA of line A, it is judged that there are faults including the abnormality of the metering circuit on the power supply side and the lack of load in the power mining system;

If the daily power supply W _AS = the daily sales power W _iA , it means that the power supply side is not abnormal, go to step 3;

Step 3: If the collection of components on the electricity sales side is abnormal, eliminate the problem of collection; if the collection is normal, go to step 4;

Step 4: Obtain the line loss rate of the station area from the system in the same period, and obtain the historical data of each component of the electricity sales side from the source-end consumption system, and compare them, and eliminate the shortage of electricity abnormality; if there is no abnormality, go to step 5 ;

Step 5: Check whether the items including the power sales side component nameplate and wiring method are normal one by one on site;

According to the size of the daily line loss rate μ _A , the unreasonable lines are divided into negative loss and positive loss lines;

When the topology correlation is normal, for negative loss lines, focus on troubleshooting on the power supply side; for positive loss lines, focus on troubleshooting on the power sales side.

Specifically, the method for analyzing the abnormal loss rate of the cable line during the same period, for the situation that the line has been effectively configured with the distribution network automation system, adopts a "top-down" method, according to the power difference between the upper and lower levels in the topology association. Determine the cause of the abnormality, locate the problem in time, and eliminate the defect.

Further, the described "top-down" approach includes the following steps:

The power P _pt of a distribution transformer/box transformer at time t can be obtained from the power collection system as:

P _pt =P _at +P _bt +P _ct

为A、B、C相在t时刻的功率；in

is the power of phase A, B, and C at time t;

The power P _kt of a certain outlet k of the switching station at time t can be obtained from the distribution network automation system as:

where U _kt is the line voltage at time t, and I _kt is the current at time t;

According to the SCADA system, it can be known that the power P _bt of a cable b in the substation at time t is:

From the power P _pt of a distribution transformer/box transformer at time t, the power P _kt of a certain outlet k of the switch station at time t, and the power P _bt of a cable b outlet at time t, the distribution transformer/box transformer and switch station outlet are obtained. , The daily power of the substation outlet is:

Under the condition that the line loss rate is reasonable, the electric power of the outlet b of the substation is equal to the electric power of all the outgoing lines k _i in the switch station, and the electric power of the outlet k of the switch station is equal to the electric power of all the substations p _i , namely:

In the formula, t=1,2,...,n,...,96, N is the number of switch station lines or the number of distribution stations;

If the deviation rate α between the powers at all levels is greater than 6%, the line loss rate of the 10 kV cable line is considered unreasonable, and the line loss rate verification is carried out according to the "T+2" calculation principle of the same period system.

Further, the method for analyzing the abnormality of the line loss rate in the same period of the cable line can predict the unreasonable situation of the line loss rate under the interaction of multiple systems through the automation of the distribution network.

Further, the method for analyzing the abnormality of line loss rate during the same period of the cable line includes a synchronization system, a data acquisition and monitoring system, an electric energy collection system, and an electricity consumption information collection system between the three sections of the substation, the line, and the station area. Including the multi-system interaction, starting from the topology of the cable line, according to the situation with and without the distribution network automation system, a targeted 10kV cable line line loss rate abnormal analysis method was proposed as a troubleshooting method. It can be realized in the case of configuration and configured distribution network automation, and cooperate with each other under the principle of "T+2" for line loss calculation in the same period, which can effectively improve the efficiency of abnormal line analysis and investigation, timely discover equipment hidden dangers, improve line rationality, and maintain power grid security. Stable operation, effectively shorten the analysis time and improve the analysis efficiency.

Compared with the prior art, the advantages of the present invention are:

1. Because this technical solution adopts the technical method of three sections of substation, line and station area, corresponding to the three indicators of bus balance rate, branch line loss rate, and station area line loss rate, it realizes the data between multiple systems. The technical effect of information interaction; it overcomes the shortcomings of complex data and various source platforms in the calculation of 10kV line loss over the same period.

2. In the case where distribution network automation is not configured, because the technical solution of "bottom-up" terminal inspection is adopted, the cause of the line with abnormal line loss rate is found, and the analysis is performed from the topology correlation, power supply side, and power sales side. Starting from abnormal data, locating the cause of abnormality and then conducting on-site investigation, realizing the technical effect of efficient investigation of 10kV lines with abnormal line loss rate; effectively improving the efficiency of 10kV line loss rate abnormal inspection during the same period.

3. In the case where distribution network automation has been configured, because the "top-down" troubleshooting method is adopted, the abnormal cause is judged according to the power difference between the upper and lower levels in the topology association, and the calculation is carried out with the "T+2" system in the same period. The principled technical method achieves the technical effect of prejudging the unreasonable line loss rate of the 10kV line in advance; it enables the unreasonable cause to be predicted in advance before the system counts the line line loss rate in the same period.

Description of drawings

Figure 1 is a schematic diagram of the topology of a 10 kV cable line;

Fig. 2 is the schematic diagram of multi-system data interaction of the present invention;

3 is a block diagram of the abnormal analysis flow chart of the present invention without automatic offline loss rate of distribution network;

Fig. 4 is the topological structure schematic diagram of line Yang 52;

FIG. 5 is a schematic diagram of the topology structure of the line Yang 19 .

Detailed ways

The present invention will be further described below with reference to the accompanying drawings.

1. Abnormal factors of line loss rate:

10 kV branch line loss rate calculation formula:

In the formula, μ _xs is the line loss rate; Wi is the input power on the power supply side; W _o is the output power on the sales side; W _j and N _k are the power and total power of the power sales side station area and users, _respectively .

At present, the daily line loss rate μ _xs ∈ [0, 10%] and the monthly line loss rate μ _xs ∈ [0, 6%] are considered reasonable, and this technical solution is discussed with the daily line loss rate.

The topology of the 10kV cable line is shown in Figure 1. It is the outgoing line of the 35/110kV substation, and is sent to the lower switch station, distribution station, box transformer, high-voltage users and other equipment through cables.

It can be seen from formula (1) that the calculation of line loss rate only pays attention to the power on the power supply side and the power sales side of the line, and does not involve the intermediate topology.

If the electricity sales side power W _on originally belonging to line n is included in the electricity sales side electricity calculation of line m due to an abnormal topology relationship, it cannot be judged by the calculation formula of line loss rate. The corresponding relationship from top to bottom of the line is consistent to ensure that the calculation result of the line loss rate is within a reasonable range. If any one of the factors on the power supply side, the power sales side and the topology correlation is abnormal, it will affect the rationality rate of the line, such as reverse connection of the metering flow phase sequence, abnormal acquisition device, wrong line-transformer-station-meter relationship, and duplicate account information. Wait.

2. Multi-system data interaction:

The calculation of the line loss rate of the 10 kV branch line is realized in the synchronization system, and all the data required for the calculation are pushed from each source system to the same period. The power supply side power is the substation outlet power, which comes from the power energy information acquisition system. Since the data of the power acquisition and SCADA system are respectively derived from two different circuits of 10 kV sub-line measurement and protection, the accuracy of the data can be verified by the SCADA system. ;The topology graph comes from the GIS system, and the association also involves SG186, PMS2.0 and other systems; The electricity on the sales side includes the electricity of the distribution transformer, the electricity of the box transformer and the electricity of the high-voltage users, which comes from the electricity consumption information collection system, which can be passed through the The historical power data of the source end is verified. These huge data are integrated into the synchronization system to realize the calculation of the line loss rate, and through these data, the abnormal analysis of the line loss rate can be carried out.

This technical solution realizes the interaction of multi-system data information through three sections of substation, line and station area, as shown in Figure 2. The substation corresponds to the balance rate of the busbar, the line corresponds to the line loss rate of the branch line, and the station area corresponds to the line loss rate of the station area. After decomposing the three sections, the corresponding problem analysis can be carried out.

As can be seen from Figure 1, the topological association between the power supply and sales sides of the 10kV cable line involves switch stations, distribution stations, and box-type transformers. If the line is not effectively configured with the distribution network automation system, the power information of the incoming and outgoing lines of the switching station provided by the line cannot be obtained. If the line has been effectively configured with a distribution network automation system, the power information of the incoming and outgoing lines of the switch station provided by the line can be obtained, which can assist in analyzing the power supply of the connecting line Data accuracy on the side and the electricity sales side. At the same time, because the calculation principle of line loss in the same period is "T+2", that is, the line loss rate is calculated after 2 days. Therefore, the distribution network automation system can predict the fault scene in advance, and speed up the speed of problem discovery and processing, that is, "top-down" ” analysis method, all kinds of electricity data are known, and the line with unreasonable line loss rate is analyzed.

3. Analysis method of abnormal line loss rate:

In the following, the analysis methods for abnormal line loss rate are discussed separately for the unconfigured and configured distribution automation scenarios.

3.1. Situation when distribution network automation is not configured:

In the absence of distribution network automation, the "bottom-up" end-of-line inspection method is adopted to check the cause of the line with abnormal line loss rate, that is, to find the cause of the line with abnormal line loss rate.

Line A represents a line with abnormal line loss rate, and its daily line loss rate _μA is discussed as an example.

Step 1: Check the line topology association, if there is no abnormality, go to Step 2;

Step 2: Check the power on the power supply side, and use the SCADA system to compare the data in the power mining system. In SCADA, the daily average current I _A of line A and the daily average voltage U _A , the daily power supply of line A can be obtained:

In the formula, U _A is the line voltage; h is the time, that is, 24 hours;

If the daily power supply W _AS > the daily electricity sales W _iA , or the daily power supply W _AS < the daily electricity sales W _iA , the on-site power supply side metering circuit is abnormal, the load in the power mining system is missing, etc.; if W _AS = W _iA , then Indicates that there is no abnormality in the power supply side, go to step 3;

Step 3: If the collection of components on the electricity sales side is abnormal, eliminate the problem of collection; if the collection is normal, go to step 4;

Step 4: Obtain the line loss rate of the station area from the system in the same period, and obtain the historical data of each component of the electricity sales side from the source end consumption system, and compare them, and eliminate the shortage of electricity abnormality. If there is no abnormality, go to step 5;

Step 5: Check whether the nameplate and wiring of the power sales side are normal one by one on site;

According to the size of daily line loss rate μ _A , unreasonable lines can be divided into negative loss lines and positive loss lines;

In the case of normal topology correlation, according to formula (1), for negative loss lines, namely W _iA <W _OA , focus on troubleshooting on the power supply side; for positive loss lines, that is, W _iA >W _OA , focus on power sales Troubleshoot on the side;

The abnormal analysis process of its loss rate is shown in Figure 3.

3.2. Configuration automation of distribution network:

In the case of automatic distribution network, the "top-down" method is adopted to predict the unreasonable line loss rate in advance, and the abnormal cause can be judged in advance according to the power difference between the upper and lower levels in the topology association, and the problem can be located in time and carried out. Eliminate shortages.

It can be seen from Figure 1 that the 10 kV cable line is sent out of the substation to the lower switch station and distribution station in turn. The power of a distribution transformer/box transformer at time t obtained from the power collection system is:

P _pt =P _at +P _bt +P _ct (3)

为A、B、C相在t时刻的功率。in

is the power of phase A, B and C at time t.

The power of a certain outlet k of the switching station at time t can be obtained from the distribution network automation system as:

In the formula, U _kt is the line voltage at time t, and I _kt is the current at time t.

In the same way, according to the SCADA system, it can be known that the power of a 10kV cable b outlet in the substation at time t is:

From equations (3), (4), and (5), the daily power of distribution transformer/box transformer, switch station outlet, and substation outlet can be obtained as:

At present, the voltage and current data are collected every 15 minutes in the distribution network automation system, so the time interval between t is 15 minutes, that is, there are 96 points in a day.

When the line loss rate is reasonable, the power of the substation outlet b is equal to the power of all the outlets k _i in the switch station, and the power of the switch station outlet k is equal to the power of all the substations p _i , namely:

In the formula, t=1,2,...,n,...,96, N is the number of switch station lines or the number of distribution stations.

If the deviation rate α between all levels of power is greater than 6%, that is:

It is considered that the line loss rate of the 10kV cable line is unreasonable, and the line loss rate verification can be carried out according to the "T+2" calculation principle of the same period system.

Therefore, through the automation of distribution network, under the interaction of multiple systems, the unreasonable line loss rate can be predicted.

4. Example:

In order to verify the validity of the two abnormal analysis methods of line loss rate proposed above, a case analysis was carried out for the lines Yang 52 and Yang 19 of a power supply company.

4.1, Yang 52 case analysis:

A power supply company's 10 kV cable line Yang 52 obtained its line loss rate through the system at the same time, and found that the daily line loss rate of this line has changed from reasonable to 23.5% since the 10th of a certain month.

The Yang 52 topology is shown in Figure 4.

Yang 52 sends the 10 kV second-section bus of No. 79, Lane TP300, in the switch station. In this switch station, No. 31 outgoing box is sent to No. 59 and 49; No. 32 outgoing box is sent to No. 27 and 35; Change to 43 and 65.

First, the line topology is checked, and it is found that the relationship between the power supply and sales sides is correct.

Secondly, check the power on the power supply side, and calculate the power according to the formula (2) through the voltage and current data in the SCADA system:

It is basically consistent with the data of the electric mining system: 16981.24kWh, and it can be considered that there is no abnormality in the power supply side.

Finally, for the electricity sales side components: the power data of No. 59, No. 49, No. 27, No. 35, No. 43, and No. 65 box transformers are checked one by one in the system during the same period. Small, after 10 days, the power will be 1/3 less than the original, and the line loss rate will change at the same time.

After on-site inspection, it was found that the A-phase fuse of the box transformer voltage circuit was blown, and the line loss rate recovered to 2.3% after treatment, which was within a reasonable range.

4.2, Yang 19 case analysis:

The topological structure of Yang 19 of a 10kV cable line of a power supply company is shown in Figure 5. It sends a 10kV busbar of No. 79 in Lane TP300 of the switch station, and the No. 21 outlet in the switch station is sent to No. 61 and No. 51 of the box; No. 22 outgoing box sends to No. 29 and No. 33; No. 23 outgoing line sends to No. 41, 63 and 71.

On the 15th of a certain month, it was found through the distribution network automation system that the power of a section of the bus in No. 79, Lane TP300 of the switch station was unbalanced. At this time, in the system at the same time, only the line loss rate of Yang 19 on the 13th of the line Yang 19 that was sent to this section of the bus could be checked. Within a reasonable range, it is impossible to analyze the cause by checking the abnormal line loss rate.

Therefore, through the distribution network automation system, the power of the distribution transformer and box transformer sent by Yang 19 is calculated, as shown in Table 1:

Table 1 Line Yang 19 distribution transformer/box transformer power on a certain day

The outgoing power of the switch station is shown in Table 2:

Table 2 Outgoing power of switch station No. 79 in Lane TP300

Through the SCADA system, the calculated output power of Yang 19 is: 19548.8W.

ΔP _{1(21) =} 4.7W, α _{( 21)} = 0.11% to No. 21 outgoing line of the switchgear; No. 23 ΔP _{1 (23)} = 300.4W, α ₍₂₃₎ = 8.15%; for the substation outlet Yang 19ΔP ₂ =171.1W, α _(y19) = 0.88%.

It can be seen from formula (8) that α ₍₂₃₎ ≧ 6%, it can be determined that the line loss rate of the line is unreasonable, and the abnormal cause is changed between No. 23 of the switch station outlet and No. 41, No. 63 and No. 71 of the equipment sent by the lower level. between.

After locating the fault, the on-site inspection found that after the construction of the No. 63 box was completed on the 15th, the nameplate was incorrectly marked, resulting in an error in its associated ledger information, which was immediately corrected on the same day. On the 17th, the line was inquired through the same period system and found on the 15th that its line loss rate was -21.37%, which was not within a reasonable range. On the 16th, the line loss rate recovered to 3%.

Cases Yang 52 and Yang 19 respectively verify the effectiveness of the proposed line loss rate anomaly analysis method in the case where distribution network automation is not configured and in the case where distribution network automation is configured.

4.3. Multiple case verification:

In order to further verify the practicability of the above two abnormal line loss rate analysis methods, the 10kV cable line in a certain month was analyzed, and the results are shown in Table 3.

Table 3 Analysis of abnormal causes of 10kV cable lines in a certain month and methods used

In the table, "Analysis method 1" indicates that the distribution network automation has been configured; "Analysis method 2" indicates the situation that the distribution network automation has not been configured.

It can be seen from the analysis results of multiple cases that the two methods can cooperate with each other to quickly identify the cause of abnormal line loss rate and effectively improve the analysis efficiency.

The technical scheme of the present invention, for the 10kV cable line, analyzes the topology structure of the cable line according to the principle of multi-system data interaction between the substation, the line, and the station area, and proposes two unconfigured distribution network automation situations and configured The abnormal analysis method of line loss rate in the case of distribution network automation, and the effectiveness of the two disclosed methods is verified by cases.

The technical scheme of the present invention, through the synchronization between the three sections of the substation, the line, and the station area, data acquisition and monitoring (SCADA, Supervisory Control And Data Acquisition), electric energy acquisition, power consumption information acquisition and other multi-system interactions, from Starting from the topological structure of the cable line, according to the situation with and without the distribution network automation system, two abnormal analysis methods for the line loss rate of the 10kV cable line are proposed. These two methods are used as troubleshooting methods, which are implemented in the case of unconfigured and configured distribution network automation respectively. They can cooperate with each other under the principle of "T+2" in the calculation of line loss over the same period, which can effectively improve the efficiency of abnormal line analysis and investigation, and find out in time. Equipment hidden dangers, improve the rational rate of lines, and maintain the safe and stable operation of the power grid. In the situation that the distribution network automation system is not fully and effectively covered, the two methods respectively provide different analysis methods, which can effectively shorten the analysis time and improve the analysis efficiency while improving the line rationality rate.

The technical scheme of the present invention can cooperate with each other to solve the problem of numerous 10kV lines, has strong operability, can effectively improve the analysis efficiency of abnormal line loss rate, and is widely used in loss reduction work.

The invention can be widely used in the fields of power supply management and line loss analysis.

Claims (8)

1. A method for analyzing the abnormal line loss rate of a cable line in the same period based on multi-system interaction, comprising analyzing the abnormal line loss rate of a certain 10 kV cable line, characterized in that: 1) According to the multi-system data interaction between the substation, the line and the station area, analyze the topological structure or topological association of the cable line; 2) According to the obtained topology structure or topology association of the cable line, determine whether the line is effectively configured with a distribution network automation system; 3) If the line is not effectively configured with the distribution network automation system, the power information of the incoming and outgoing lines of the switch station provided by the line cannot be obtained, and can only be analyzed through the calculation results of the power supply side power, the power sales side power and the line loss rate, which is " "Bottom-up" analysis method, it is known that the line loss rate is unreasonable, and then the reasons are gradually checked upwards in turn; 4) If the line has been effectively configured with a distribution network automation system, the power information of the incoming and outgoing lines of the switch station provided by the line can be obtained, which can assist in analyzing the correctness of the data connecting the power supply side and the power sales side of the line; It is "T+2", that is, the line loss rate is calculated after 2 days. The distribution network automation system is used to predict the failure scenario in advance to speed up the problem discovery and processing speed, which is the "top-down" analysis method. The power-like data is used to analyze the lines with unreasonable predicted line loss rate. 2. The method for analyzing the abnormality of line loss rate in the same period of cable line based on multi-system interaction according to claim 1, it is characterized in that described multi-system at least comprises a synchronization system, a data acquisition and monitoring system, an electric energy acquisition system and a Electrical information collection system. 3. according to the abnormal analysis method of cable line synchronous line loss rate based on multi-system interaction according to claim 1, it is characterized in that described cable line synchronous line loss rate abnormal analysis method, for the line is not effectively configured distribution network automation system. In case of abnormal line loss rate, check the cause of the line with abnormal line loss rate, and find the cause of line A with abnormal line loss rate. 4. according to the abnormal analysis method of cable line synchronous line loss rate based on multi-system interaction according to claim 3, it is characterized in that the search step of described "bottom-up" terminal investigation mode comprises: Step 1: Check the topology association of line A, if there is no abnormality, go to step 2; Step 2: Check the power supply side of line A, and use the SCADA system to compare the data in the power acquisition system; the daily average current I _A and the daily average voltage U _A of line A in SCADA, the line A with abnormal line loss rate can be obtained. The daily power supply W _AS is:

In the formula, U _A is the line voltage; h is the time, that is, 24 hours; If the daily power supply _{WAS is greater than or less than the daily electricity sales W iA of} line A, it is judged that there are faults including the abnormality of the metering circuit on the power supply side and the lack of load in the power mining system; If the daily power supply W _AS = the daily sales power W _iA , it means that the power supply side is not abnormal, go to step 3; Step 3: If the collection of components on the electricity sales side is abnormal, eliminate the problem of collection; if the collection is normal, go to step 4; Step 4: Obtain the line loss rate of the station area from the system in the same period, and obtain the historical data of each component of the electricity sales side from the source-end consumption system, and compare them, and eliminate the shortage of electricity abnormality; if there is no abnormality, go to step 5 ; Step 5: Check whether the items including the power sales side component nameplate and wiring method are normal one by one on site; According to the size of the daily line loss rate μ _A , the unreasonable lines are divided into negative loss and positive loss lines; When the topology correlation is normal, for negative loss lines, focus on troubleshooting on the power supply side; for positive loss lines, focus on troubleshooting on the power sales side. 5. The abnormal analysis method of line loss rate in the same period of cable line based on multi-system interaction according to claim 1 is characterized in that the abnormal analysis method of line loss rate in the same period of described cable line has been effectively configured for the line of the distribution network automation system. In such cases, a "top-down" approach is adopted to determine the cause of the abnormality in advance according to the power difference between the upper and lower levels in the topology association, locate the problem in time, and eliminate the defect. 6. The method for analyzing abnormal line loss rate of cable lines based on multi-system interaction according to claim 5, characterized in that the "top-down" method comprises the following steps: The power P _pt of a distribution transformer/box transformer at time t can be obtained from the power collection system as: P _pt =P _at +P _bt +P _ct in

is the power of phase A, B, and C at time t; The power P _kt of a certain outlet k of the switching station at time t can be obtained from the distribution network automation system as:

where U _kt is the line voltage at time t, and I _kt is the current at time t; According to the SCADA system, it can be known that the power P _bt of a cable b in the substation at time t is:

From the power P _pt of a distribution transformer/box transformer at time t, the power P _kt of a certain outlet k of the switch station at time t, and the power P _bt of a cable b outlet at time t, the distribution transformer/box transformer and switch station outlet are obtained. , The daily power of the substation outlet is:

Under the condition that the line loss rate is reasonable, the electric power of the outlet b of the substation is equal to the electric power of all the outgoing lines k _i in the switch station, and the electric power of the outlet k of the switch station is equal to the electric power of all the substations p _i , namely:

In the formula, t=1,2,...,n,...,96, N is the number of switch station lines or the number of distribution stations; If the deviation rate α between the powers at all levels is greater than 6%, the line loss rate of the 10 kV cable line is considered unreasonable, and the line loss rate verification is carried out according to the "T+2" calculation principle of the same period system. 7. The method for analyzing abnormality of line loss rate in the same period of cable line based on multi-system interaction according to claim 1, it is characterized in that the method for analyzing abnormal line loss rate of cable line in the same period of time, through distribution network automation, under multi-system interaction , predict the unreasonable situation of line loss rate. 8. The method for analyzing the abnormal line loss rate of cable lines in the same period based on multi-system interaction according to claim 1, wherein the method for analyzing abnormal line loss rate of cable lines during the same period is characterized in that the method for analyzing the abnormal line loss rate of cable lines in the same period is carried out through three areas of substation, line and station area. Multi-system interaction between segments including synchronization system, data acquisition and monitoring system, electrical energy acquisition system, and electricity consumption information acquisition system. Starting from the cable line topology, according to the situation with and without distribution network automation system, the proposed A targeted 10kV cable line line loss rate abnormal analysis method is used as a troubleshooting method, which is realized in the case of unconfigured and configured distribution network automation, and cooperates with each other under the principle of "T+2" for line loss calculation in the same period. , which can effectively improve the efficiency of abnormal line analysis and investigation, timely discover equipment hidden dangers, improve the reasonable rate of lines, maintain the safe and stable operation of the power grid, effectively shorten the analysis time, and improve the analysis efficiency.

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