Protection method and system for preventing distributed photovoltaic power stealing

Abstract

The invention discloses a protection method and system for preventing distributed photovoltaic power stealing. The method comprises the following steps: acquiring first output data in a first object; comparing the first output data with second output data recorded in a second object; and judging the first behavior according to a comparison result, and tracing according to a judgment result. Through real-time comparison of output data of the first object and the second object, abnormal electric energy consumption in the photovoltaic system can be accurately detected, and potential electricity stealing behaviors can be timely identified.

Description

Technical Field

[0001] The present invention relates to the technical field of electricity theft monitoring, and in particular to a protection method and system for preventing distributed photovoltaic electricity theft. Background Art

[0002] With the advancement of global energy transformation and green sustainable development, distributed photovoltaic systems have become an important way of energy production and utilization. Distributed photovoltaic systems convert solar energy into electrical energy and connect to the power grid through photovoltaic power generation equipment to provide green electricity for homes, businesses and public facilities. However, with the popularization of photovoltaic systems, some safety hazards and management problems have also emerged, especially the behavior of users stealing electricity by modifying equipment or bypassing metering equipment, which has brought great challenges to grid operation and energy management.

[0003] Traditional power metering systems rely on manual inspections and traditional metering equipment, and have problems such as insufficient ability to identify power theft and poor real-time performance. Therefore, an efficient protection method is urgently needed to timely and accurately identify and prevent power theft in photovoltaic systems. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing methods have the problems of insufficient recognition ability of electricity theft and poor real-time performance.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a protection method for preventing distributed photovoltaic power theft, comprising:

[0007] collecting first output data in a first object;

[0008] comparing the first output data with second output data recorded in a second object;

[0009] Based on the comparison results, the first behavior is determined, and based on the determination results, the source is traced.

[0010] As a preferred solution of the protection method for preventing distributed photovoltaic power theft described in the present invention, wherein: the first output data includes a physical quantity generated in the first object and output to the outside.

[0011] As a preferred solution of the protection method for preventing distributed photovoltaic power theft described in the present invention, the second object is a distribution unit of the next level of the first object, and the first object outputs the first output data, which is distributed through the second object.

[0012] As a preferred solution of the protection method for preventing distributed photovoltaic power theft described in the present invention, the second output data includes a physical quantity actually recorded in the second object according to the actual allocation of the second object.

[0013] As a preferred solution of the protection method for preventing distributed photovoltaic power theft described in the present invention, the first output data and the second output data are the same physical quantities recorded in different objects.

[0014] As a preferred solution of the protection method for preventing distributed photovoltaic power theft according to the present invention, wherein: comparing the first output data with the second output data recorded in the second object includes comparing the first output data with the recorded data in the second object, and considering the power loss rate of different users:

[0015]

[0016] Wherein, D is the comparison result, which indicates the overall deviation between the first output data and the second output data, and is used to determine whether the difference is within a reasonable range; W1(t) is the output power value of the first object at time t, in watts; W2(t ) is the recorded power value of the second object at time t, in watts; t1 and t2 are the start and end times of the comparison, respectively, and are used as the time range for integration; n is the total number of sampled moments in the time series, which is used to calculate statistics; m is the number of spatial distribution nodes of the first and second objects, which is used for a finer-grained comparison; W 1,ij is the first output power value of the jth node at the i-th time, in watts; W 2,ij is the second recorded power value of the jth node at the i-th time, in watts; α is the comparison sensitivity index, which controls the nonlinearity of the error calculation, and its value range is 0≤α≤2; L k is the power loss rate of the kth user, defined as the ratio of the user's actual received power to the transmitted power, and the unit is dimensionless; p is the total number of users, which is used to integrate the impact of the loss rates of all users; β is the user loss rate weight, which determines the impact of the loss rate on the overall comparison result, and is usually in the range of 0.1≤β≤1.

[0017] As a preferred solution of the protection method for preventing distributed photovoltaic power theft described in the present invention, the determination of the first behavior includes: if the comparison result D exceeds the threshold, it is determined that there is power theft; otherwise, it is power theft;

[0018] After the electricity theft occurs, a power outage test is performed on each transmission line. When the power outage test is performed on the line, if D returns to the normal range, the user in the currently tested line has committed the electricity theft.

[0019] A protection system for preventing distributed photovoltaic power theft using any method described in the present invention, characterized in that:

[0020] A collection module, collecting first output data in the first object;

[0021] A comparison module, comparing the first output data with the second output data recorded in the second object;

[0022] The traceability module determines the first behavior according to the comparison result, and performs traceability according to the determination result.

[0023] A computer device comprises: a memory and a processor; the memory stores a computer program, wherein: the processor implements the steps of any one of the methods of the present invention when executing the computer program.

[0024] A computer-readable storage medium stores a computer program, wherein: when the computer program is executed by a processor, the steps of any one of the methods of the present invention are implemented.

[0025] Beneficial effects of the present invention: The protection method for preventing distributed photovoltaic power theft provided by the present invention can accurately detect abnormal power consumption in the photovoltaic system and timely identify potential power theft behaviors by real-time comparison of the output data of the first object and the second object. Compared with traditional methods, this technology does not rely on manual inspections, has a high degree of automation, fast response speed, can effectively reduce power losses, and improve system safety. At the same time, considering the impact of power loss rate, it can provide more accurate judgment criteria, optimize power resource management, and reduce operational risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0027] Figure 1 An overall flow chart of a protection method for preventing distributed photovoltaic power theft provided in the first embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0029] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides a protection method for preventing distributed photovoltaic power theft, comprising:

[0030] S1: Collect first output data in a first object.

[0031] Furthermore, the first output data includes a physical quantity generated in the first object and outputted externally.

[0032] In this embodiment, the first object refers to a distributed photovoltaic power generation system, and the first output data is electric energy data. Its main function is to convert solar energy into electric energy. The first output data refers to the electric energy data generated and outputted by the photovoltaic system during operation. Specifically, these electric energy data include but are not limited to parameters such as real-time power generation power, total output power, system voltage, current, and power factor of the photovoltaic power generation system. These data are recorded by the monitoring equipment or electric meter equipment of the photovoltaic system and transmitted to the subsequent calculation and monitoring system through the data acquisition unit. The first output data can reflect the operating status of the system and provide basic data for subsequent comparison and traceability. In practical applications, these data will be used to compare with the output data of the next-level distribution unit to detect and determine whether there is electricity theft.

[0033] In an optional embodiment, in the scenario of an electric vehicle charging pile, the first output data may be the charging power, current, voltage, charging time, charged power, etc. of the charging pile. These data help monitor the power consumption during the charging process to ensure that there is no abnormal power theft or abuse. In a substation of a smart grid, the first output data may include the input and output power, voltage, current, transformer load, etc. of the substation. These data reflect the energy flow of the substation in the process of distributing electricity to users, and are used to prevent illegal distribution of electricity.

[0034] S2: Compare the first output data with the second output data recorded in the second object.

[0035] The second object is a distribution unit at a lower level of the first object, and the first object outputs the first output data, which is distributed through the second object. In this embodiment, the second object is a power grid operator.

[0036] It should be said that the electric energy generated by the distributed photovoltaic power generation system is generally not directly supplied to users, but is transmitted and distributed through different distribution units in the power grid system. As the management and operation entity of the power grid, the grid operator is responsible for transmitting electric energy from the power generation unit to each consumer unit. Therefore, the recorded data of the grid operator (i.e., the second output data) reflects the final distribution status and usage of the electric energy. By comparing the first output data (from the photovoltaic system) and the second output data (from the distribution record of the grid operator), it is possible to check whether there are any abnormalities in the distribution process of electric energy from the photovoltaic power generation system to the user. If it is found that the difference in electric energy is large during the comparison process, and the difference exceeds the normal range of electric energy loss, it can be inferred whether there is electricity theft.

[0037] The second output data includes, according to the actual allocation of the second object, a physical quantity actually recorded in the second object. The first output data and the second output data are the same physical quantity recorded in different objects.

[0038] In this embodiment, the second output data is the meter data of the user recorded by the power grid operator, reflecting the power usage of each power point, and these data are used to calculate the power consumption of the power grid system. The second output data is the various physical quantity data recorded by the power grid operator according to the actual distribution situation and the power grid operation situation, mainly including the power distribution amount, power consumption amount and power grid loss, etc. These data are the same in physical quantity as the power data (first output data) output by the photovoltaic power generation system (first object), but are recorded in different systems for subsequent comparison and analysis.

[0039] In an optional embodiment, the second output data may also be item distribution data in the logistics transportation process. Assume that the first object is an intelligent warehouse management system, and the second object is a distribution center or a distribution site in the logistics transportation network.

[0040] First object: Intelligent warehouse management system (warehouse system)

[0041] The warehouse system generates the first output data through the item outbound operation, which includes the outbound quantity, outbound time, item type and outbound location of each item. These data reflect the flow of items in the warehouse and the specific outbound records of the items.

[0042] Second object: distribution center (or distribution site) in the logistics transportation network

[0043] The distribution center in the logistics transportation network receives the items shipped from the warehouse system and redistributes, packages and arranges the transportation of the items. The second output data records the quantity, transportation arrangement, transportation time, destination and transportation status of each item received by the logistics center.

[0044] For example, the distribution center records the distribution volume of a certain type of items after they are shipped from the warehouse and have passed through the distribution center and have been sent to different distribution locations. Each distribution center has a corresponding distribution record to track the flow of each item during transportation.

[0045] The specific content of the second output data:

[0046] Item name, type, quantity, weight, and volume.

[0047] Delivery route, destination, arrival time.

[0048] Receiving records, inspection results, and packaging conditions at the distribution center.

[0049] The transport vehicle number, departure and arrival time, and possible abnormal situations during transportation.

[0050] These data correspond to the outbound data in the warehouse system (first object), and by comparing the outbound records of items in the warehouse system with the item receiving and transportation records of the distribution center, it is checked whether there is any loss, misallocation or other abnormalities during transportation.

[0051] Comparison of item distribution data and warehouse system data:

[0052] By comparing the outbound quantity (warehouse system record) and the received quantity (distribution center record), if there is a discrepancy between the two, the system can determine whether any items are incorrectly distributed or transported, and thus trigger the corresponding protection mechanism.

[0053] For example, if the warehouse system records that 100 items of a certain type of item were shipped out, and the distribution center records that 95 items were received, the system will mark these five items as being at risk of being stolen, mis-shipped, or lost.

[0054] Through this comparison process, the entire flow of items from the warehouse to the distribution center can be monitored, and possible problems in the logistics process can be discovered in real time.

[0055] Comparing the first output data with the second output data recorded in the second object includes comparing the first output data with the recorded data in the second object and considering the power loss rate of different users:

[0056]

[0057] Wherein, D is the comparison result, which indicates the overall deviation between the first output data and the second output data, and is used to determine whether the difference is within a reasonable range; W1(t) is the output power value of the first object at time t, in watts; W2(t ) is the recorded power value of the second object at time t, in watts; t1 and t2 are the start and end times of the comparison, respectively, and are used as the time range for integration; n is the total number of sampled moments in the time series, which is used to calculate statistics; m is the number of spatial distribution nodes of the first and second objects, which is used for a finer-grained comparison; W 1,ij is the first output power value of the jth node at the i-th time, in watts; W 2,ij is the second recorded power value of the jth node at the i-th time, in watts; α is the comparison sensitivity index, which controls the nonlinearity of the error calculation, and its value range is 0≤α≤2; L k is the power loss rate of the kth user, defined as the ratio of the user's actual received power to the transmitted power, and the unit is dimensionless; p is the total number of users, which is used to integrate the impact of the loss rates of all users; β is the user loss rate weight, which determines the impact of the loss rate on the overall comparison result, and is usually in the range of 0.1≤β≤1.

[0058] S3: According to the comparison result, the first behavior is determined, and the source is traced according to the determination result.

[0059] If the comparison result D exceeds the threshold, it is determined that electricity theft occurs; otherwise, it is electricity theft; after electricity theft occurs, a power outage test is performed on each transmission line. When the power outage test is performed on the line, if D returns to the normal range, then the user in the currently tested line has committed electricity theft.

[0060] Through the determination of comparison result D, power-off test and tracing method, the system can realize automatic detection and location of potential power theft. The advantage of this method is that it can detect abnormal power loss in time by simply comparing power monitoring data with data recorded by power grid operators, and accurately lock in power theft users through subsequent power-off test. This method determines whether there is power theft by comparing and analyzing power grid data with photovoltaic system data. If there is suspicious behavior, it is further verified and traced through power-off test, and finally the power theft source is accurately located. This process can improve the automation level of power monitoring, reduce the cost and error rate of manual inspection, and provide timely and accurate power anomaly detection capabilities.

[0061] Embodiment 2 is an embodiment of the present invention, which provides a protection system for preventing distributed photovoltaic power theft, comprising:

[0062] The acquisition module acquires the first output data in the first object.

[0063] A comparison module compares the first output data with the second output data recorded in the second object.

[0064] The traceability module determines the first behavior according to the comparison result, and performs traceability according to the determination result.

[0065] If the above functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0066] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0067] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0068] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0069] Example 3 is an embodiment of the present invention, which provides a protection method for preventing distributed photovoltaic power theft. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0070] During the experiment, two sets of data need to be collected first: one set is the actual output power data of the distributed photovoltaic power generation system (first output data), and the other set is the user power consumption data recorded by the power grid operator (second output data). By comparing these two sets of data, combined with the threshold of the comparison results, the occurrence of power theft is judged, and further traceability verification is carried out.

[0071] During the experiment, multiple sample users were set up for comparative experiments. The electricity consumption data of each user was compared with the output data of the photovoltaic system for multiple times to test the power loss rate of different users and whether there was a possibility of electricity theft.

[0072] The table below lists the data of five sample users, including the output power of the PV system, the actual power consumption and the comparison result (D value), as well as the determined status of the power theft behavior.

[0073] Table 1 Data record table

[0074]

[0075] From the data in the table above, we can see that the comparison results D of User 2 and User 3 both exceeded the set threshold (5%). Based on this comparison result, the system preliminarily determined that there was electricity theft. Further through the power-off test, the comparison results of User 2 and User 3 returned to the normal range, indicating that these two users may have engaged in electricity theft. The comparison results of User 2 and User 3 were 7.69% and 5.26% respectively, which clearly exceeded the 5% threshold, indicating that there was a large difference between their power consumption and the output of the photovoltaic system, which was in line with the typical characteristics of electricity theft.

[0076] In contrast, the comparison results of User 1, User 4, and User 5 did not exceed the threshold, indicating that the difference between the power consumption of these users and the output data of the photovoltaic system was within the normal range and in line with the expected power distribution law. In particular, in the case of User 4 and User 5, the comparison results were 3.13% and 3.70%, respectively, both below the threshold of 5%, indicating that the power consumption of these users was consistent with the photovoltaic power generation data and showed no signs of stealing electricity.

[0077] These data analyses show that by comparing the output of the photovoltaic system with the data recorded by the grid operator, possible electricity theft can be effectively detected, and further verification and tracing through power outage tests can accurately locate the specific electricity theft user. Compared with traditional manual inspection methods, this method not only improves the efficiency of detection, but also reduces the probability of manual intervention and misjudgment.

[0078] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for preventing distributed photovoltaic power theft, characterized in that: include: collecting first output data in a first object; comparing the first output data with second output data recorded in a second object; Based on the comparison results, the first behavior is judged, and based on the judgment results, the source is traced.

2. The method for preventing distributed photovoltaic power theft as claimed in claim 1, characterized in that: The first output data includes a physical quantity generated in the first object and output to the outside.

3. The method for preventing distributed photovoltaic power theft as claimed in claim 2, characterized in that: The second object is a distribution unit at a lower level than the first object, and the first object outputs the first output data, which is distributed through the second object.

4. The method for preventing distributed photovoltaic power theft as claimed in claim 3, characterized in that: The second output data includes, according to the actual allocation of the second object, a physical quantity actually recorded in the second object.

5. The method for preventing distributed photovoltaic power theft as claimed in claim 4, characterized in that: The first output data and the second output data are the same physical quantity recorded in different objects.

6. The method for preventing distributed photovoltaic power theft as claimed in claim 5, characterized in that: Comparing the first output data with the second output data recorded in the second object includes comparing the first output data with the recorded data in the second object and considering the power loss rate of different users: Where D is the comparison result, which indicates the overall deviation between the first output data and the second output data, and is used to determine whether the difference is within a reasonable range; W1(t) is the output power value of the first object at time t, in watts; W2(t) is the recorded power value of the second object at time t, in watts; t1 and t2 are the start and end times of the comparison, respectively, and are used as the time range for integration; n is the total number of sampled moments in the time series, which is used to calculate statistics; m is the number of spatial distribution nodes of the first object and the second object, which is used for a finer-grained comparison; W 1，ij is the first output power value of the jth node at the i-th time, in watts; W 2，ij is the second recorded power value of the jth node at the i-th time, in watts; α is the comparison sensitivity index, which controls the nonlinearity of the error calculation, and its value range is 0≤α≤2; L k is the power loss rate of the kth user, defined as the ratio of the user's actual received power to the transmitted power, and the unit is dimensionless; p is the total number of users, which is used to integrate the impact of the loss rates of all users; β is the user loss rate weight, which determines the impact of the loss rate on the overall comparison result, and is usually in the range of 0.1≤β≤1.

7. The method for preventing distributed photovoltaic power theft as claimed in claim 6, characterized in that: The determination of the first behavior includes: if the comparison result D exceeds a threshold, determining that there is a behavior of stealing electricity; Anyway, it is an act of stealing electricity; After the electricity theft occurs, a power outage test is performed on each transmission line. When the power outage test is performed on the line, if D returns to the normal range, the user in the currently tested line has committed the electricity theft.

8. A protection system for preventing distributed photovoltaic power theft using the method as described in any one of claims 1 to 7, characterized in that: A collection module, collecting first output data in the first object; A comparison module, comparing the first output data with the second output data recorded in the second object; The traceability module determines the first behavior according to the comparison result, and performs traceability according to the determination result.

9. A computer device comprising: A memory and a processor; the memory stores a computer program, wherein the processor implements the steps of any method as claimed in claim 1 when executing the computer program.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images