Anti-electricity-stealing monitoring method based on electric energy storage system

Abstract

The invention relates to the technical field of power management, in particular to an electricity larceny prevention monitoring method based on an electric energy storage system, which comprises the following steps: collecting charge and discharge electric quantity data of energy storage equipment of the electric energy storage system in real time, and creating a comparison broken line graph representing charge and discharge electric quantity changes of the energy storage equipment based on the charge and discharge electric quantity data of the energy storage equipment of the electric energy storage system; monitoring a horizontal axis coverage time threshold in the comparison broken line graph, and when the horizontal axis coverage time threshold of the comparison broken line graph is not less than two weeks, extracting continuous line segments which correspond to each week and represent charging and discharging changes of the energy storage equipment in the comparison broken line graph; according to the method, the comparison broken line graph representing the charge and discharge electric quantity change of the energy storage equipment is created through the charge and discharge electric quantity data of the energy storage equipment of the electric power energy storage system, so that independent anti-electricity-stealing monitoring of the energy storage equipment is realized, and in the anti-electricity-stealing monitoring process, according to the line segments representing the electric quantity change in the comparison broken line graph, the anti-electricity-stealing monitoring of the energy storage equipment is realized. Comprehensive anti-electricity-stealing monitoring is carried out from an energy storage system end and an electricity utilization user end.

Description

Technical Field

[0001] The present invention relates to the technical field of power management, and in particular to an anti-electricity theft monitoring method based on an electric energy storage system. Background Art

[0002] The problem of electricity theft in power storage systems has received increasing attention. Some criminals may steal electricity by tampering with equipment data, privately connecting lines, etc., which not only damages the interests of power supply companies, but also may affect the stable operation of the power system. Strengthening monitoring technology, improving management systems and increasing law enforcement efforts are the key to solving the problem of electricity theft in energy storage systems.

[0003] The invention patent with application number 202110237945.5 discloses a detection system suitable for group fixed-ratio electricity theft, which is characterized by comprising: a preprocessing module, a detection module and a judgment module; the preprocessing module is connected to the detection module and performs data transmission: the detection module is connected to the judgment module and performs data transmission; the preprocessing module is used to: ① extract the user's electricity data per unit time from the electricity consumption information collection system, and vectorize and standardize the data, and input the data into the detection module; ② extract the electricity data of the line loss of the substation per unit time from the integrated line loss management system, and vectorize and standardize the data, and input the data into the detection module; the detection module is used to: ① use the increasing property of the covariance between the line loss electricity vector of the standardized substation and the meter electricity consumption vector of the fixed-ratio electricity theft user to detect group fixed-ratio electricity theft; ② judge whether the electricity consumption scenario is a fixed-ratio electricity theft scenario; ③ output the set C of suspected electricity theft users sus , and transmit it to the judgment module; the judgment module is used to calculate the user's suspicion of electricity theft.

[0004] The application aims to solve the problem of "taking into account that most of the electricity theft methods that tamper with electricity meters by hardware are manifested as fixed-ratio electricity theft, and the current trend of electricity theft is increasingly showing a trend of group and collective nature."

[0005] However, the problem of electricity theft in the power storage system may occur at any location in the transmission circuit between the power storage system and the power user. How to accurately and fully cover the real-time monitoring of electricity theft is an urgent problem to be solved.

[0006] To this end, we proposed an anti-electricity theft monitoring method based on power storage system. Summary of the invention

[0007] In view of the above-mentioned shortcomings of the prior art, the present invention provides an anti-electricity theft monitoring method based on an electric energy storage system, which solves the technical problems raised in the above-mentioned background technology.

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] An anti-electricity theft monitoring method based on an electric energy storage system comprises:

[0010] Collect the charging and discharging power data of the energy storage device of the power energy storage system in real time, and create a comparative line chart representing the charging and discharging power changes of the energy storage device based on the charging and discharging power data of the energy storage device of the power energy storage system;

[0011] Monitor the time threshold covered by the horizontal axis in the comparison line graph. When the time threshold covered by the horizontal axis in the comparison line graph is not less than two weeks, extract the line segments corresponding to the continuous weeks representing the charging and discharging changes of the energy storage device in the comparison line graph, further segment the line segments representing the charging and discharging changes of the energy storage device, and then analyze the differentiated time domains on the line segments representing the charging and discharging changes of the energy storage device based on the segmentation results;

[0012] In the next week not recorded in the comparison line chart, the time domain corresponding to the differentiated time domain captures the charging and discharging data of the energy storage equipment of the power energy storage system and the electricity consumption data of the electricity users served by the power energy storage system. Based on the charging and discharging data of the energy storage equipment and the electricity consumption data of the electricity users served by the power energy storage system, it is analyzed whether there is electricity theft at the initial end of the power energy storage system, and the probability of electricity theft among the electricity users served by the power energy storage system and the users who have electricity theft are analyzed;

[0013] The analysis logic of whether there is electricity theft at the initial end of the power storage system is expressed as follows:

[0014]

[0015] Where: E out Output power to the power storage system; I out is the output current of the power storage system; P out is the active power output of the power storage system; L is the total length of the power distribution line of the power storage system; U out is the output voltage of the power storage system; S out is the cross-sectional area of ​​the distribution line conductor; is the power factor; t out is the output time of the power energy storage system; E0 is the compensation; u is the total number of electricity users served by the power energy storage system; E v is the electricity consumption of the vth electricity user;

[0016] Among them, the power consumption of the electricity user is the output time t of the power storage system out If the above formula is true, it means that there is electricity theft at the initial end of the power storage system. Otherwise, it means that there is no electricity theft at the initial end of the power storage system. The compensation E0 is defined by the power storage system end management user, and the compensation E0

[0017]

[0018] Evaluate the load of electricity users with electricity theft on the electric energy storage system, and generate a processing queue for electricity users with electricity theft based on the load of electricity users on the electric energy storage system;

[0019] Among them, after the processing queue of electricity users with electricity theft is generated, the power storage system manages the user offline and performs electricity theft line detection on the power circuits of the electricity users with electricity theft in turn.

[0020] Furthermore, the charge and discharge power data of the energy storage device of the power energy storage system is collected at the charge and discharge end of the energy storage device based on the specified collection frequency. In the comparative line graph, the horizontal axis represents the corresponding timestamp of the collection frequency, the vertical axis represents the charge and discharge power, and the line representing the charge data and the line representing the discharge data are distinguished based on different colors;

[0021] Among them, the frequency of collecting charging and discharging power data of energy storage equipment in the power energy storage system follows the following rules: the more electricity users the power energy storage system serves, the more and longer the historical daily discharge volume and daily discharge time of the power energy storage system, the faster the collection frequency.

[0022] Furthermore, the collection frequency of the charging and discharging power data of the energy storage device in the power energy storage system specifically complies with:

[0023]

[0024] Where: p is the frequency of collecting charging and discharging data of energy storage equipment in the power energy storage system; p0 is the base of the collection frequency; m is the number of electricity users served by energy storage equipment in the power energy storage system; n is the number of historical operating days of energy storage equipment in the power energy storage system; Q i is the discharge amount of the energy storage device on day i; t use is the discharge duration of the energy storage device on the i-th day; t0 is the daily service duration of the energy storage device; P is the final application acquisition frequency; f(p) is the constraint function;

[0025] in, Express The average, Express The average, represents the ratio of the discharge time of the energy storage device to the service time on the i-th day, (t0-t use ) iIt represents the idle time of the energy storage device on the i-th day. The daily service time t0 of the energy storage device and the acquisition frequency base p0 are customized by the user of the power energy storage system management end, and the daily service time t0 of the energy storage device is set to 24 by default. The acquisition frequency p of the charging and discharging power data of the energy storage device in the power energy storage system is rounded up. The constraint function f(p) is based on the p value for value constraints. 3≤p≤24, then P=f(p)=p. Otherwise, the difference between the p value in f(p) and 3 is the smallest, P=3, and the difference between the p value in f(p) and 24 is the smallest, P=24. The unit of the final application acquisition frequency P is: times / day.

[0026] Furthermore, when the line segments representing the charging and discharging changes of the energy storage device are segmented, the number of segmentations is seven groups. When the differentiated time domains on the line segments representing the charging and discharging changes of the energy storage device are further analyzed based on the segmentation results, firstly, similarity recognition is performed on each segmented sub-segment representing the charging and discharging changes of the energy storage device, and based on the similarity recognition results, the differentiated time domain is determined.

[0027] Furthermore, the similarity recognition logic of the sub-segments representing the charge and discharge changes of the energy storage device is expressed as:

[0028]

[0029] Where: SIMM(L1,L′1) is the similarity between the sub-segments L1 and L′1 representing the charge and discharge changes of the energy storage device; Q1(max) use is the maximum value of the line segment representing discharge in sub-segment L1; Q1′(max) use is the maximum value of the line segment representing discharge in sub-segment L′1; Q1(min) use is the minimum value of the line segment representing discharge in sub-segment L1; Q1′(min) use is the minimum value of the line segment representing discharge in the sub-line segment L′1; γ is the first correction factor; m use is the set of sub-line segments representing discharge in L1 and L′1; Q 1j Q1′ is the vertical axis value on the line graph corresponding to the jth point in the sub-segment L1; j is the vertical axis value on the line graph corresponding to the jth point in the sub-segment L′1; Q1(max) in The maximum value of the line segment representing charging in sub-segment L1; Q1(min) in The minimum value of the line segment representing charging in the sub-segment L1; Q1′(max) in The maximum value of the line segment marked with charging in the sub-line segment L′1; Q1′ (min) in is the minimum value of the line segment marked with charging in the sub-line segment L′1; τ is the second correction factor;

[0030] Among them, L1 and L′1 are derived from the sub-segments of the same day period in the line segments corresponding to the charging and discharging changes of the energy storage equipment corresponding to the consecutive weeks. The larger the SIMM(L1, L′1), the higher the similarity of the two groups of sub-segments. When the differentiated time domain is determined, the user of the power energy storage system defines the differentiated judgment threshold. Based on the set differentiated judgment threshold and SIMM(L1, L′1), the paired time domains of the sub-segments belonging to SIMM(L1, L′1) at the differentiated judgment threshold are determined as differentiated time domains.

[0031] Furthermore, the value of the first correction factor γ is subject to: if the numerator of the fraction in the correction target bracket is not greater than the denominator, the first correction factor is 1; if the numerator of the fraction in the correction target bracket is greater than the denominator, the first correction factor is -1;

[0032] The value of the second correction factor τ follows: Then the second correction factor takes the value of 1. Then the second correction factor takes the value of -1;

[0033] Among them, the time threshold corresponding to L1 is always earlier than the time threshold corresponding to L′1.

[0034] Furthermore, the analysis logic of the probability that the power storage system serves electricity users and there is electricity theft behavior is expressed as:

[0035]

[0036] Where: SEI is the electricity theft determination index, that is, probability; P m is the actual measured power value; P e is the expected power value; I m is the actual measured current value; I e is the expected current value; V m is the actual measured voltage value; V e is the expected voltage value; a, b, c are weights;

[0037] The power consumption data of the power users served by the power system include: m , P e ,I m ,I e 、V m 、V e After the electricity theft determination index SEI is obtained, the user of the power storage system defines the electricity theft determination threshold, and the electricity theft determination threshold is initially set to 20%, that is, the electricity theft determination index SEI>20%, then it is determined that the electricity user has electricity theft behavior, P e ,I e 、V eThe power storage system end user customizes it according to the power supply standard. The weights a, b, and c are all greater than zero, and the sum of the three is 1.

[0038] Furthermore, the analysis logic of the user who steals electricity is expressed as follows:

[0039] Based on the electricity theft determination index SEI, the determination result of whether each electricity user has committed electricity theft is recorded. When the determination results of the accumulated records of the same electricity user include at least two determinations of electricity theft, the electricity user is determined to be a user with electricity theft;

[0040] Among them, the power transmission connection between users who are judged to have committed electricity theft and the power storage system will be disconnected in real time, and only users on the power storage system management end have the authority to manually open it.

[0041] Furthermore, when the power user determined to have committed electricity theft disconnects the power transmission connection with the power storage system, the power storage system management user synchronously feeds back the determination information of the electricity theft to the disconnected power user;

[0042] Among them, when the power storage system management user synchronously feeds back the judgment information of the existence of electricity theft to the disconnected electricity user, the judgment information is sent to the mobile computer device held by the electricity user based on the communication network. The judgment information includes: the judgment result of whether there is electricity theft each time and the judgment timestamp.

[0043] Furthermore, the evaluation logic of the load of the power storage system by the power user who steals electricity is expressed as follows:

[0044]

[0045] Where: ε is the impact of electricity users with electricity theft behavior on the load of the power storage system; P n is the normalized expected load power of the electric energy storage system; P a is the actual load power of the power storage system when the electricity theft occurs; E d Energy loss of the power storage system caused by electricity theft; E t is the total energy capacity of the power storage system; ω is the weight;

[0046] Among them, the weight ω∈(0,1), the normalized expected load power P of the power storage system n It is defined by the management user of the power storage system. The larger the ε value is, the greater the impact of the power user with electricity theft on the load of the power storage system is. A processing queue of power users with electricity theft is generated and arranged in descending order based on the corresponding ε values ​​of the power users.

[0047] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:

[0048] The present invention provides an anti-electricity theft monitoring method based on an electric energy storage system. During the execution of the method, a comparative line graph representing the charge and discharge electric quantity changes of the energy storage device is created through the charge and discharge electric quantity data of the energy storage device of the electric energy storage system, thereby realizing independent anti-electricity theft monitoring of each energy storage device. During the anti-electricity theft monitoring process, comprehensive anti-electricity theft monitoring is carried out from the energy storage system end and the electricity user end according to the line segments representing the electric quantity changes in the comparative line graph. When the electric quantity theft problem occurs at the electricity user end, the electric quantity theft user can be accurately captured. At the same time, when the electric quantity theft user is not unique, a queue can be generated based on the severity of the electric quantity theft situation, so as to realize the priority offline processing of the electric quantity theft problem. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1 A flowchart of an anti-electricity theft monitoring method based on an electric energy storage system is provided;

[0051] Figure 2 This is a schematic diagram of an example of a comparison line graph in the present invention;

[0052] Figure 3 Schematic diagram of the logic of L′1 and the source of L′1 used in obtaining SIMM (L1, L′1) in the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] The present invention will be further described below in conjunction with the embodiments.

[0055] Embodiment 1:

[0056] An anti-electricity theft monitoring method based on an electric energy storage system in this embodiment is as follows: Figure 1 As shown, including:

[0057] Collect the charging and discharging power data of the energy storage device of the power energy storage system in real time, and create a comparative line chart representing the charging and discharging power changes of the energy storage device based on the charging and discharging power data of the energy storage device of the power energy storage system;

[0058] Monitor the time threshold covered by the horizontal axis in the comparison line graph. When the time threshold covered by the horizontal axis in the comparison line graph is not less than two weeks, extract the line segments corresponding to the continuous weeks representing the charging and discharging changes of the energy storage device in the comparison line graph, further segment the line segments representing the charging and discharging changes of the energy storage device, and then analyze the differentiated time domains on the line segments representing the charging and discharging changes of the energy storage device based on the segmentation results;

[0059] When segmenting the line segments representing the charge and discharge changes of the energy storage device, the number of segmentations is seven groups. When further analyzing the differentiated time domains on the line segments representing the charge and discharge changes of the energy storage device based on the segmentation results, firstly, similarity recognition is performed on each segmented sub-line segment representing the charge and discharge changes of the energy storage device, and based on the similarity recognition results, the differentiated time domain is determined;

[0060] The similarity recognition logic of the sub-segments representing the charging and discharging changes of the energy storage device is expressed as:

[0061]

[0062] Where: SIMM(L1,L′1) is the similarity between the sub-segments L1 and L′1 representing the charge and discharge changes of the energy storage device; Q1(max) use is the maximum value of the line segment representing discharge in sub-segment L1; Q1′(max) use is the maximum value of the line segment representing discharge in sub-segment L′1; Q1(min) use is the minimum value of the line segment representing discharge in sub-segment L1; Q1′(min) use is the minimum value of the line segment representing discharge in the sub-line segment L′1; γ is the first correction factor; m use is the set of sub-line segments representing discharge in L1 and L′1; Q 1j Q1′ is the vertical axis value on the line graph corresponding to the jth point in the sub-segment L1; j is the vertical axis value on the line graph corresponding to the jth point in the sub-segment L′1; Q1(max) in The maximum value of the line segment representing charging in sub-segment L1; Q1(min) in The minimum value of the line segment representing charging in the sub-segment L1; Q1′(max) in The maximum value of the line segment marked with charging in the sub-line segment L′1; Q1′ (min) in is the minimum value of the line segment marked with charging in the sub-line segment L′1; τ is the second correction factor;

[0063] Among them, L1 and L′1 are derived from the sub-segments of the same day period in the line segments corresponding to the charging and discharging changes of the energy storage equipment corresponding to the consecutive weeks. The larger the SIMM (L1, L′1), the higher the similarity of the two groups of sub-segments. When the differentiated time domain is determined, the user of the power energy storage system end customizes the differentiated judgment threshold. Based on the set differentiated judgment threshold and SIMM (L1, L′1), the paired time domain of the sub-segment belonging to SIMM (L1, L′1) at the differentiated judgment threshold is determined as the differentiated time domain;

[0064] The value of the first correction factor γ follows the following rules: if the numerator of the fraction in the correction target bracket is not greater than the denominator, the first correction factor is 1; if the numerator of the fraction in the correction target bracket is greater than the denominator, the first correction factor is -1.

[0065] The value of the second correction factor τ follows: Then the second correction factor takes the value of 1. Then the second correction factor takes the value of -1;

[0066] Among them, the time threshold corresponding to L1 is always earlier than the time threshold corresponding to L′1;

[0067] In the next week not recorded in the comparison line chart, the time domain corresponding to the differentiated time domain captures the charging and discharging data of the energy storage equipment of the power energy storage system and the electricity consumption data of the electricity users served by the power energy storage system. Based on the charging and discharging data of the energy storage equipment and the electricity consumption data of the electricity users served by the power energy storage system, it is analyzed whether there is electricity theft at the initial end of the power energy storage system, and the probability of electricity theft among the electricity users served by the power energy storage system and the users who have electricity theft are analyzed;

[0068] The analytical logic of the probability that the power storage system serves electricity users and there is electricity theft behavior is expressed as:

[0069]

[0070] Where: SEI is the electricity theft determination index, that is, probability; P m is the actual measured power value; P e is the expected power value; I m is the actual measured current value; I e is the expected current value; V m is the actual measured voltage value; V e is the expected voltage value; a, b, c are weights;

[0071] Among them, the electricity consumption data of the power system serving electricity users include: m , P e ,I m ,I e 、Vm 、V e After the electricity theft determination index SEI is obtained, the user of the power storage system defines the electricity theft determination threshold. The electricity theft determination threshold is initially set to 20%, that is, if the electricity theft determination index SEI>20%, it is determined that there is electricity theft behavior at the electricity user end. e ,I e 、V e The power storage system end user customizes it according to the power supply standard. The weights a, b, and c are all greater than zero, and the sum of the three is 1.

[0072] The analysis logic of users who steal electricity is expressed as follows:

[0073] Based on the electricity theft determination index SEI, the determination result of whether each electricity user has committed electricity theft is recorded. When the determination results of the accumulated records of the same electricity user include at least two determinations of electricity theft, the electricity user is determined to be a user with electricity theft;

[0074] Among them, the power transmission connection between the user who is judged to have committed electricity theft and the power storage system is disconnected in real time, and only the user at the power storage system management end has the authority to manually open it;

[0075] The analysis logic of whether there is electricity theft at the initial end of the power storage system is expressed as follows:

[0076]

[0077] Where: E out Output power to the power storage system; I out is the output current of the power storage system; P out is the active power output of the power storage system; L is the total length of the power distribution line of the power storage system; U out is the output voltage of the power storage system; S out is the cross-sectional area of ​​the distribution line conductor; is the power factor; t out is the output time of the power energy storage system; E0 is the compensation; u is the total number of electricity users served by the power energy storage system; E v is the electricity consumption of the vth electricity user;

[0078] Among them, the power consumption of the electricity user is the output time t of the power storage system out If the above formula is true, it means that there is electricity theft at the initial end of the power storage system. Otherwise, it means that there is no electricity theft at the initial end of the power storage system. The compensation E0 is defined by the power storage system end management user, and the compensation E0

[0079]

[0080] Evaluate the load of electricity users with electricity theft on the electric energy storage system, and generate a processing queue for electricity users with electricity theft based on the load of electricity users on the electric energy storage system;

[0081] Among them, after the processing queue of electricity users with electricity theft is generated, the power storage system manages the user offline and performs electricity theft line detection on the power circuits of the electricity users with electricity theft in turn.

[0082] In this embodiment, through the operation of the system in the above embodiment, a full coverage of electricity theft monitoring is provided for the electric energy storage system, ensuring that the possible electricity theft behaviors at the initial end and the electricity user end of the electric energy storage system can be accurately captured based on the method, thereby avoiding the adverse effects of electricity theft on the electric energy storage system;

[0083] See also Figure 2 As shown, the figure further shows the specific form of the comparative line graph representing the charge and discharge capacity changes of the energy storage device;

[0084] See also Figure 3 As shown, the figure further displays the similarity recognition target and target source logic in the similarity recognition logic of the sub-segment representing the charging and discharging changes of the energy storage device.

[0085] Embodiment 2:

[0086] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The anti-electricity theft monitoring method based on the electric energy storage system in Example 1 is further described in detail:

[0087] The charge and discharge data of the energy storage device of the power energy storage system is collected at the charge and discharge end of the energy storage device based on the specified collection frequency. In the comparison line chart, the horizontal axis represents the corresponding timestamp of the collection frequency, the vertical axis represents the charge and discharge data, and the line representing the charge data and the line representing the discharge data are distinguished by different colors;

[0088] Among them, the frequency of collecting charging and discharging power data of energy storage equipment in the power energy storage system follows the following rules: the more the number of electricity users served by the power energy storage system, the more and longer the historical daily discharge volume and daily discharge time of the power energy storage system, the faster the collection frequency;

[0089] The frequency of collecting charging and discharging data of energy storage equipment in the power energy storage system is specifically subject to:

[0090]

[0091] Where: p is the frequency of collecting charging and discharging data of energy storage equipment in the power energy storage system; p0 is the base of the collection frequency; m is the number of electricity users served by energy storage equipment in the power energy storage system; n is the number of historical operating days of energy storage equipment in the power energy storage system; Q i is the discharge amount of the energy storage device on day i; t use is the discharge duration of the energy storage device on the i-th day; t0 is the daily service duration of the energy storage device; P is the final application acquisition frequency; f(p) is the constraint function;

[0092] in, Express The average, Express The average, represents the ratio of the discharge time of the energy storage device to the service time on the i-th day, (t0-t use ) i It represents the idle time of the energy storage device on the i-th day. The daily service time t0 of the energy storage device and the acquisition frequency base p0 are customized by the user of the power energy storage system management end, and the daily service time t0 of the energy storage device is set to 24 by default. The acquisition frequency p of the charging and discharging power data of the energy storage device in the power energy storage system is rounded up. The constraint function f(p) is based on the p value for value constraints. 3≤p≤24, then P=f(p)=p. Otherwise, the difference between the p value in f(p) and 3 is the smallest, P=3, and the difference between the p value in f(p) and 24 is the smallest, P=24. The unit of the final application acquisition frequency P is: times / day.

[0093] In this embodiment, the collection frequency of the charging and discharging power data of the energy storage device in the electric energy storage system is set by designing the logic of the collection frequency of the charging and discharging power data of the energy storage device in the electric energy storage system, so as to achieve stable collection of the charging and discharging power data, and provide necessary execution data and logic support for further execution of the method in Example 1.

[0094] Embodiment 3:

[0095] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The anti-electricity theft monitoring method based on the electric energy storage system in Example 1 is further described in detail:

[0096] When the power user who is determined to have committed electricity theft disconnects from the power transmission connection with the power storage system, the power storage system management user will synchronously feedback the determination information of the electricity theft to the disconnected power user;

[0097] When the management user of the power storage system synchronously feeds back the judgment information of the existence of electricity theft to the disconnected electricity user, the judgment information is sent to the mobile computer device held by the electricity user based on the communication network. The judgment information includes: the judgment result of whether there is electricity theft each time and the judgment timestamp;

[0098] The evaluation logic of the load of the power storage system by the electricity user who steals electricity is expressed as follows:

[0099]

[0100] Where: ε is the impact of electricity users with electricity theft behavior on the load of the power storage system; P n is the normalized expected load power of the electric energy storage system; P a is the actual load power of the power storage system when the electricity theft occurs; E d Energy loss of the power storage system caused by electricity theft; E t is the total energy capacity of the power storage system; ω is the weight;

[0101] Among them, the weight ω∈(0,1), the normalized expected load power P of the power storage system n It is defined by the management user of the power storage system. The larger the ε value is, the greater the impact of the power user with electricity theft on the load of the power storage system is. A processing queue of power users with electricity theft is generated and arranged in descending order based on the corresponding ε values ​​of the power users.

[0102] In this embodiment, through the above further settings and the formula for obtaining the degree of influence ε of electricity users with electricity theft on the load of the electric energy storage system, logical support is provided for the generation of a processing queue for electricity users with electricity theft, thereby ensuring the stable operation of the system in Example 1.

[0103] In summary, during the execution of the method in the above embodiment, a comparative line graph representing the change in the charging and discharging power of the energy storage device is created through the charging and discharging power data of the energy storage device of the power energy storage system, thereby realizing independent anti-electricity theft monitoring of each energy storage device. In the anti-electricity theft monitoring process, according to the line segments representing the change in power in the comparative line graph, comprehensive anti-electricity theft monitoring is carried out from the energy storage system end and the electricity user end. When the electricity theft problem occurs at the electricity user end, the electricity theft user can be accurately captured. At the same time, when the electricity theft user is not unique, a queue can be generated based on the severity of the electricity theft situation to realize priority offline processing of the electricity theft problem.

[0104] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An anti-electricity theft monitoring method based on an electric energy storage system, characterized in that: include: Collect the charging and discharging power data of the energy storage device of the power energy storage system in real time, and create a comparative line chart representing the charging and discharging power changes of the energy storage device based on the charging and discharging power data of the energy storage device of the power energy storage system; Monitor the time threshold covered by the horizontal axis in the comparison line graph. When the time threshold covered by the horizontal axis in the comparison line graph is not less than two weeks, extract the line segments corresponding to the continuous weeks representing the charging and discharging changes of the energy storage device in the comparison line graph, further segment the line segments representing the charging and discharging changes of the energy storage device, and then analyze the differentiated time domains on the line segments representing the charging and discharging changes of the energy storage device based on the segmentation results; In the next week not recorded in the comparison line chart, the time domain corresponding to the differentiated time domain captures the charging and discharging data of the energy storage equipment of the power energy storage system and the electricity consumption data of the electricity users served by the power energy storage system. Based on the charging and discharging data of the energy storage equipment and the electricity consumption data of the electricity users served by the power energy storage system, it is analyzed whether there is electricity theft at the initial end of the power energy storage system, and the probability of electricity theft among the electricity users served by the power energy storage system and the users who have electricity theft are analyzed; The analysis logic of whether there is electricity theft at the initial end of the power storage system is expressed as follows: Where: E out Output power to the power storage system; I out is the output current of the power storage system; P out is the active power output of the power storage system; L is the total length of the power distribution line of the power storage system; U out is the output voltage of the power storage system; S out is the cross-sectional area of ​​the distribution line conductor; is the power factor; t out is the output time of the power energy storage system; E0 is the compensation; u is the total number of electricity users served by the power energy storage system; E v is the electricity consumption of the vth electricity user; Among them, the power consumption of the electricity user is the output time t of the power storage system out If the above formula is true, it means that there is electricity theft at the initial end of the power storage system. Otherwise, it means that there is no electricity theft at the initial end of the power storage system. The compensation E0 is defined by the power storage system end management user, and the compensation E0 Evaluate the load of electricity users with electricity theft on the electric energy storage system, and generate a processing queue for electricity users with electricity theft based on the load of electricity users on the electric energy storage system; Among them, after the processing queue of electricity users with electricity theft is generated, the power storage system manages the user offline and performs electricity theft line detection on the power circuits of the electricity users with electricity theft in turn.

2. According to claim 1, a method for monitoring anti-electricity theft based on an electric energy storage system is characterized in that: The charge and discharge data of the energy storage device of the power energy storage system are collected at the charge and discharge end of the energy storage device based on the specified collection frequency. In the comparison line graph, the horizontal axis represents the corresponding timestamp of the collection frequency, the vertical axis represents the charge and discharge data, and the line representing the charge data and the line representing the discharge data are distinguished based on different colors; Among them, the frequency of collecting charging and discharging power data of energy storage equipment in the power energy storage system follows the following rules: the more electricity users the power energy storage system serves, the more and longer the historical daily discharge volume and daily discharge time of the power energy storage system, the faster the collection frequency.

3. According to claim 2, a method for monitoring anti-electricity theft based on an electric energy storage system is characterized in that: The frequency of collecting the charging and discharging power data of the energy storage device in the power energy storage system specifically complies with: Where: p is the frequency of collecting charging and discharging data of energy storage equipment in the power energy storage system; p0 is the base of the collection frequency; m is the number of electricity users served by energy storage equipment in the power energy storage system; n is the number of historical operating days of energy storage equipment in the power energy storage system; Q i is the discharge amount of the energy storage device on day i; t use is the discharge duration of the energy storage device on the i-th day; t0 is the daily service time of the energy storage device; P is the final application acquisition frequency; f(p) is the constraint function; in, Express The average, Express The average, represents the ratio of the discharge time of the energy storage device to the service time on the i-th day, (t0-t use ) i It represents the idle time of the energy storage device on the i-th day. The daily service time t0 of the energy storage device and the acquisition frequency base p0 are customized by the user of the power energy storage system management end, and the daily service time t0 of the energy storage device is set to 24 by default. The acquisition frequency p of the charging and discharging power data of the energy storage device in the power energy storage system is rounded up. The constraint function f(p) is based on the p value for value constraints. 3≤p≤24, then P=f(p)=p. Otherwise, the difference between the p value in f(p) and 3 is the smallest, P=3, and the difference between the p value in f(p) and 24 is the smallest, P=24. The unit of the final application acquisition frequency P is: times / day.

4. According to claim 1, a method for monitoring anti-electricity theft based on an electric energy storage system is characterized in that: When segmenting the line segments representing the charging and discharging changes of the energy storage device, the number of segmentations is seven groups. When further analyzing the differentiated time domains on the line segments representing the charging and discharging changes of the energy storage device based on the segmentation results, firstly, similarity recognition is performed on each segmented sub-segment representing the charging and discharging changes of the energy storage device, and based on the similarity recognition results, the differentiated time domain is determined.

5. The anti-electricity theft monitoring method based on the electric energy storage system according to claim 4 is characterized in that: The similarity recognition logic of the sub-segments representing the charge and discharge changes of the energy storage device is expressed as: Where: SIMM(L1,L′1) is the similarity between the sub-segments L1 and L′1 representing the charge and discharge changes of the energy storage device; Q1(max) use is the maximum value of the line segment representing discharge in sub-segment L1; Q1′(max) use is the maximum value of the line segment representing discharge in sub-segment L′1; Q1(min) use is the minimum value of the line segment representing discharge in sub-segment L1; Q1′(min) use is the minimum value of the line segment representing discharge in the sub-line segment L′1; γ is the first correction factor; m use is the set of sub-line segments representing discharge in L1 and L′1; Q 1j Q1′ is the vertical axis value on the line graph corresponding to the jth point in the sub-segment L1; j is the vertical axis value on the line graph corresponding to the jth point in the sub-segment L′1; Q1(max) in The maximum value of the line segment representing charging in sub-segment L1; Q1(min) in The minimum value of the line segment representing charging in the sub-segment L1; Q1′(max) in The maximum value of the line segment marked with charging in the sub-line segment L′1; Q1′ (min) in is the minimum value of the line segment marked with charging in the sub-line segment L′1; τ is the second correction factor; Among them, L1 and L′1 are derived from the sub-segments of the same day period in the line segments corresponding to the charging and discharging changes of the energy storage equipment corresponding to the consecutive weeks. The larger the SIMM(L1, L′1), the higher the similarity of the two groups of sub-segments. When the differentiated time domain is determined, the user of the power energy storage system defines the differentiated judgment threshold. Based on the set differentiated judgment threshold and SIMM(L1, L′1), the pair of time domains of the sub-segments belonging to SIMM(L1, L′1) at the differentiated judgment threshold are determined as differentiated time domains.

6. The anti-electricity theft monitoring method based on the electric energy storage system according to claim 5 is characterized in that: The value of the first correction factor γ is subject to: if the numerator of the fraction in the correction target bracket is not greater than the denominator, the first correction factor is 1; if the numerator of the fraction in the correction target bracket is greater than the denominator, the first correction factor is -1; The value of the second correction factor τ follows: Then the second correction factor takes the value of 1. Then the second correction factor takes the value of -1; Among them, the time threshold corresponding to L1 is always earlier than the time threshold corresponding to L′1.

7. The anti-electricity theft monitoring method based on the electric energy storage system according to claim 1 is characterized in that: The analytical logic of the probability that the power storage system serves electricity users and there is electricity theft behavior is expressed as follows: Where: SEI is the electricity theft determination index, that is, probability; P m is the actual measured power value; P e is the expected power value; I m is the actual measured current value; I e is the expected current value; V m is the actual measured voltage value; V e is the expected voltage value; a, b, c are weights; The power consumption data of the power users served by the power system include: m , P e ,I m ,I e 、V m 、V e After the electricity theft determination index SEI is obtained, the user of the power storage system defines the electricity theft determination threshold, and the electricity theft determination threshold is initially set to 20%, that is, the electricity theft determination index SEI>20%, then it is determined that there is electricity theft behavior at the electricity user end, P e ,I e 、V e It is customized by the user of the power storage system according to the power supply standard. The weights a, b, and c are all greater than zero, and the sum of the three is 1.

8. The anti-electricity theft monitoring method based on the electric energy storage system according to claim 7 is characterized in that: The analysis logic of the user who steals electricity is expressed as follows: Based on the electricity theft determination index SEI, the determination result of whether each electricity user has committed electricity theft is recorded. When the determination results of the accumulated records of the same electricity user include at least two determinations of electricity theft, the electricity user is determined to be a user with electricity theft; Among them, the power transmission connection between users who are judged to have committed electricity theft and the power storage system will be disconnected in real time, and only users on the power storage system management end have the authority to manually open it.

9. The anti-electricity theft monitoring method based on the electric energy storage system according to claim 1 is characterized in that: When the power user determined to have committed electricity theft disconnects from the power transmission connection with the power storage system, the power storage system management user synchronously feeds back the determination information of the electricity theft to the disconnected power user; Among them, when the power storage system management user synchronously feeds back the judgment information of the existence of electricity theft to the disconnected electricity user, the judgment information is sent to the mobile computer device held by the electricity user based on the communication network. The judgment information includes: the judgment result of whether there is electricity theft each time and the judgment timestamp.

10. The anti-electricity theft monitoring method based on the electric energy storage system according to claim 1 is characterized in that: The evaluation logic of the load of the power storage system by the power user who has the behavior of stealing electricity is expressed as follows: Where: ε is the impact of electricity users with electricity theft behavior on the load of the power storage system; P n is the normalized expected load power of the electric energy storage system; P a is the actual load power of the power storage system when the electricity theft occurs; E d Energy loss of the power storage system caused by electricity theft; E t is the total energy capacity of the electric energy storage system; ω is the weight; Among them, the weight ω∈(0,1), the normalized expected load power P of the power storage system n It is defined by the management user of the power storage system. The larger the ε value is, the greater the impact of the power user with electricity theft on the load of the power storage system is. A processing queue of power users with electricity theft is generated and arranged in descending order based on the corresponding ε values ​​of the power users.

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