A method and system for supporting the implementation of time-of-use electricity price policy

Abstract

The present invention discloses a method and system for supporting the implementation of time-of-use electricity price policies, including: identifying the topological relationship of the power distribution area according to the characteristic current to determine the topological relationship of the power distribution area; establishing a mathematical model of the total-subtotal relationship of the electricity meters based on the topological relationship of the power distribution area, and analyzing the inaccuracy of the electricity meter measurement according to the mathematical model of the total-subtotal relationship and the collected electricity quantity data to determine the status of the electricity meter; when it is determined that the status of the electricity meter indicates that the electricity meter is not inaccurate, judging whether the clock of the electricity meter is abnormal to obtain a judgment result; when the judgment result indicates normal, updating the parameters of the electricity meters implementing time-of-use electricity prices so that the electricity meters implement the time-of-use electricity price policies. The method of the present invention can comprehensively solve the problem of the implementation of time-of-use electricity price policies remotely. At the same time, the system is automatically maintained, which can ensure the successful implementation of the time-of-use electricity price policies and the stable and continuous operation of the system, and further support guiding users to cut peaks and fill valleys on the demand side, suppressing the peak load of the power grid, and ensuring the safe and economic operation of the power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of time-of-use electricity price implementation, and more specifically, to a method and system for supporting the implementation of time-of-use electricity price policies. Background Art

[0002] Currently, the time-of-use electricity price mechanism is being gradually implemented in various regions. Up to now, the time-of-use electricity price mechanism has been implemented in multiple provinces, and there are differences in the specific implementation of the time-of-use electricity price mechanism in different regions. Generally speaking, the implementation of the time-of-use electricity price mechanism in various regions has effectively promoted peak shaving and valley filling on the demand side, and played an important role in alleviating the contradiction between power supply and demand, ensuring the safe power supply, and improving the economy of the power system. With the continuous expansion of the new energy installed capacity in China, the power consumption structure has accelerated its change, the electricity load shows the characteristics of "double peaks" in winter and summer, and there are large fluctuations in both the power production side and the consumption side. Ensuring the safe and economic operation of the power system faces greater challenges, which urgently requires further improvement of the time-of-use electricity price mechanism. The current time-of-use electricity price mechanisms in various regions have been implemented for many years. After the situation has changed significantly, there are problems such as inaccurate time period division, still room for widening the price difference between peak and valley electricity prices, the peak-time electricity price mechanism has not been fully established, the time-of-use electricity price lacks a dynamic adjustment mechanism, and it is not well connected with the construction and development of the power market. It is necessary to further improve it to adapt to the changing situation.

[0003] Currently, each province has begun to re-sort and summarize the role of the time-of-use electricity price policy in flattening the peak load of the power grid, promoting users to reasonably balance the electricity consumption time, and ensuring the safe and economic operation of the power grid, and classify and count the profit and loss of implementing the time-of-use electricity price; deeply analyze the problems of the current policy in terms of implementation scope, time period division, floating ratio, peak-time mechanism, etc., to provide strong support for scientifically and reasonably optimizing the time-of-use electricity price mechanism according to local conditions, giving full play to the role of the time-of-use electricity price signal, better guiding users to cut peaks and fill valleys, promoting supply-demand matching, and facilitating the consumption of new energy. Further improving the time-of-use electricity price mechanism is of positive significance both for ensuring the safe, stable and economic operation of the power grid in the short term and for achieving the goals of "carbon peak and carbon neutrality" in the medium and long term.

[0004] For the smooth implementation of the time-of-use electricity price policy, it is necessary to ensure the normal metering function of the electric energy meter, the electric energy meter supports the setting and updating of time-of-use parameters, the internal clock of the electric energy meter is accurate, and the main station for collecting electricity consumption information and the terminal for collecting electricity consumption in the substation area support the functions related to the implementation of the time-of-use electricity price. During the implementation of the time-of-use electricity price policy, common technical problems mainly include that some electric energy meters do not support remote setting of time-of-use electricity price parameters, inaccurate internal clocks, inaccurate metering, etc.

[0005] Therefore, a method that can support the smooth implementation of the time-of-use electricity price policy is needed. Summary of the Invention

[0006] The present invention provides a method and system for supporting the implementation of time-of-use electricity price policies to solve the problem of how to implement time-of-use electricity price policies.

[0007] To solve the above problems, according to one aspect of the present invention, a method for supporting the implementation of time-of-use electricity price policies is provided. The method includes:

[0008] Using a broadband power line carrier HPLC communication network, identify the topological relationship of the distribution transformer area based on the characteristic current, and determine the topological relationship of the distribution transformer area;

[0009] Based on the topological relationship of the distribution transformer area, establish a mathematical model of the total-subtotal relationship of the electricity meters, and perform analysis on the misalignment of the electricity meter measurement according to the total-subtotal relationship mathematical model and the collected electricity quantity data to determine the status of the electricity meter;

[0010] When it is determined that the electricity meter status indicates that the electricity meter is not out of calibration, determine whether the clock of the electricity meter is abnormal, and obtain the judgment result;

[0011] When the judgment result indicates normal, update the parameters of the electricity meters that implement time-of-use electricity prices so that the electricity meters implement time-of-use electricity price policies.

[0012] Preferably, the identification of the topological relationship of the distribution transformer area based on the characteristic current and the determination of the topological relationship of the distribution transformer area include:

[0013] The master station system sends a sending instruction to the characteristic current sending module STA;

[0014] The sending module receives the sending instruction and forms a characteristic current signal through a preset modulation method in cooperation with a modulation circuit and feeds it to the power line;

[0015] The receiving module detects the characteristic current signal through a CT and performs corresponding demodulation processing to restore the characteristic current signal on the power line to characteristic current information;

[0016] The distribution transformer area intelligent terminal sorts out the distribution transformer area household transformation and topological relationship according to the characteristic current information, so that the master station realizes the identification of the topological relationship of the distribution transformer area and determines the topological relationship.

[0017] Preferably, the method further includes:

[0018] When it is determined that the electricity meter is out of calibration, replace the electricity meter, and determine whether the replaced electricity meter is an electricity meter operating according to a preset version. If so, replace the communication module of the replaced electricity meter with an IoT edge management unit, and determine whether the clock of the electricity meter is abnormal; wherein, after the IoT edge management unit is powered on and initialized, it performs meter type identification and completes the initialization operation of the motor drive.

[0019] Preferably, updating parameters of the electricity meter implementing time-of-use electricity price so that the electricity meter implements the time-of-use electricity price policy includes:

[0020] The master station queries the number of time zones, the number of daily time-of-use tables, the electricity meter operation status word, and the current set time zone table and daily time-of-use table data of the electricity meters in the substation area according to the archives, and compares and analyzes whether the time-of-use electricity price related parameters read back conform to the current time-of-use electricity price policy; wherein, if the time-of-use electricity price parameters do not conform to the latest time-of-use electricity price policy, new time-of-use electricity price parameters are sent to the electricity meter, and the effective time of the new parameters is set correspondingly, so that the electricity meter implements the time-of-use electricity price policy.

[0021] Preferably, the method further includes:

[0022] When the judgment result indicates an abnormality, calibrate the clock of the electricity meter according to the one-meter-one-policy clock governance scheme, and after the calibration is completed, return to the step of analyzing the metering inaccuracy of the electricity meter based on the total-subtotal relationship mathematical model and the collected electricity consumption data to determine the status of the electricity meter, and recalculate.

[0023] According to another aspect of the present invention, a system for supporting the implementation of the time-of-use electricity price policy is provided. The system includes:

[0024] A substation area topology relationship determination unit for identifying the substation area topology relationship according to the characteristic current by using a broadband power line carrier HPLC communication network to determine the substation area topology relationship;

[0025] An electricity meter status determination unit for establishing a total-subtotal relationship mathematical model of the electricity meters based on the substation area topology relationship, and analyzing the metering inaccuracy of the electricity meters based on the total-subtotal relationship mathematical model and the collected electricity consumption data to determine the status of the electricity meters;

[0026] A judgment result acquisition unit for judging whether the clock of the electricity meter is abnormal when it is determined that the status of the electricity meter indicates that the electricity meter is not out of calibration, and acquiring the judgment result;

[0027] An update unit for updating the parameters of the electricity meter implementing the time-of-use electricity price when the judgment result indicates normal, so that the electricity meter implements the time-of-use electricity price policy.

[0028] Preferably, the substation area topology relationship determination unit identifies the substation area topology relationship according to the characteristic current to determine the substation area topology relationship, including:

[0029] The master station system sends a sending instruction to the characteristic current sending module STA;

[0030] The sending module receives the sending instruction, and forms a characteristic current signal through a preset modulation method in cooperation with a modulation circuit and feeds it to the power line;

[0031] The receiving module detects the characteristic current signal through CT and performs corresponding demodulation processing to restore the characteristic current signal on the power line to characteristic current information;

[0032] The intelligent terminal of the substation area sorts out the household-transformer and topological relationships of the substation area according to the characteristic current information, so that the master station can identify the topological relationship of the substation area and determine the topological relationship of the substation area.

[0033] Preferably, the system further includes:

[0034] The electric energy meter replacement unit is used to replace the electric energy meter when it is determined that the electric energy meter is out of calibration, and judge whether the replaced electric energy meter is an electric energy meter operating according to the preset version. If so, replace the communication module of the replaced electric energy meter with the Internet of Things edge management unit and judge whether the clock of the electric energy meter is abnormal; wherein, after the Internet of Things edge management unit is powered on and initialized, it performs meter type identification and completes the initialization operation of the motor drive.

[0035] Preferably, the updating unit updates the parameters of the electric energy meter that implements time-of-use electricity price so that the electric energy meter implements the time-of-use electricity price policy, including:

[0036] The master station queries the number of time zones, the number of daily time-of-use tables, the electricity meter operation status word, and the current set time zone table and daily time-of-use table data of the electric energy meters in the substation area according to the archives, and compares and analyzes whether the time-of-use electricity price-related parameters read back conform to the current time-of-use electricity price policy; wherein, if the time-of-use electricity price parameters do not conform to the latest time-of-use electricity price policy, new time-of-use electricity price parameters are sent to the electric energy meter, and the effective time of the new parameters is set correspondingly, so that the electric energy meter implements the time-of-use electricity price policy.

[0037] Preferably, the system further includes:

[0038] The clock calibration unit is used to calibrate the clock of the electric energy meter according to the one-meter-one-policy clock management scheme when the judgment result indicates an abnormality, and after the calibration is completed, return to the electric energy meter status determination unit to recalculate.

[0039] The present invention provides a method and system for supporting the implementation of time-of-use electricity price policies, including: using a broadband power line carrier (HPLC) communication network to identify the topological relationship of the distribution transformer area based on characteristic current, and determining the topological relationship of the distribution transformer area; establishing a mathematical model of the total-sub relationship of electricity meters based on the topological relationship of the distribution transformer area, and performing analysis on the inaccuracy of electricity meter measurement according to the total-sub relationship mathematical model and the collected electricity quantity data to determine the status of the electricity meter; when it is determined that the status of the electricity meter indicates that the electricity meter is accurate, determining whether the clock of the electricity meter is abnormal and obtaining a judgment result; when the judgment result indicates normal, updating the parameters of the electricity meters that implement time-of-use electricity prices so that the electricity meters implement time-of-use electricity price policies. The method of the present invention can comprehensively solve the problem of implementing time-of-use electricity price policies remotely. At the same time, the system is automatically maintained. Once it is found that the electricity meter measurement is inaccurate or the clock has an error, it can be processed in a timely manner to ensure the successful implementation of time-of-use electricity price policies and the stable and continuous operation of the system, further supporting guiding users to cut peaks and fill valleys on the demand side, suppressing the peak load of the power grid, and ensuring the safe and economic operation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The exemplary embodiments of the present invention can be more fully understood by referring to the following drawings:

[0041] Figure 1 FIG. 100 is a flowchart of a method for supporting the implementation of time-of-use electricity price policies according to an embodiment of the present invention;

[0042] Figure 2 FIG. 13 is a flowchart of the implementation of time-of-use electricity prices according to an embodiment of the present invention;

[0043] Figure 3 FIG. 17 is a schematic structural diagram of a system 300 for supporting the implementation of time-of-use electricity price policies according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] Now, the exemplary embodiments of the present invention will be introduced with reference to the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely, and to fully convey the scope of the present invention to those skilled in the art. The terms in the exemplary embodiments shown in the drawings are not intended to limit the present invention. In the drawings, the same unit / element is denoted by the same reference numeral.

[0045] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the ordinary meaning understood by those skilled in the art. In addition, it can be understood that the terms defined in the commonly used dictionary should be understood to have a meaning consistent with the context of the relevant field, and should not be understood as idealized or overly formal meanings.

[0046] Figure 1 It is a flowchart of a method 100 for supporting the implementation of time-of-use electricity price policy according to an embodiment of the present invention. As Figure 1 shown, the method for supporting the implementation of time-of-use electricity price policy provided by the embodiment of the present invention can comprehensively solve the problem of implementing time-of-use electricity price policy remotely. At the same time, the system is automatically maintained. Once it is found that the electricity meter measurement is inaccurate or the clock has an error, it can be processed in time to ensure the successful implementation of the time-of-use electricity price policy and the stable and continuous operation of the system, and further support guiding users to cut peaks and fill valleys on the demand side, suppressing the peak load of the power grid, and ensuring the safe and economic operation of the power grid. The method 100 for supporting the implementation of time-of-use electricity price policy provided by the embodiment of the present invention starts from step 101. At step 101, the broadband power line carrier HPLC communication network is used to identify the topological relationship of the distribution transformer area according to the characteristic current, and the topological relationship of the distribution transformer area is determined.

[0047] Preferably, the identifying the topological relationship of the distribution transformer area according to the characteristic current and determining the topological relationship of the distribution transformer area includes:

[0048] The master station system sends a sending instruction to the characteristic current sending module STA;

[0049] The sending module receives the sending instruction and forms a characteristic current signal through a preset modulation method in cooperation with a modulation circuit and feeds it to the power line;

[0050] The receiving module detects the characteristic current signal through CT and performs corresponding demodulation processing to restore the characteristic current signal on the power line to characteristic current information;

[0051] The distribution transformer area intelligent terminal combs the distribution transformer area household transformation and topological relationship according to the characteristic current information, so that the master station realizes the identification of the topological relationship of the distribution transformer area and determines the topological relationship of the distribution transformer area.

[0052] In an embodiment of the present invention, when performing low-voltage substation area topology identification, a method of adding a characteristic current sensing network to the original HPLC communication network is adopted, presenting a dual-channel mode of communication and sensing. While realizing high-speed transmission of power communication data, it has the ability to sense the grid state and anomalies. The sending module forms a characteristic current signal through a predetermined modulation method in cooperation with a modulation circuit and feeds it to the power line. The receiving module detects the characteristic current signal through a CT, performs corresponding demodulation processing, and finally restores the characteristic current signal on the power line to decoded data information and conducts a logical judgment. Specifically, the master station system issues a sending instruction to the characteristic current sending module STA (the Internet of Things edge management unit of the circuit breaker / LTU / electric energy meter). After receiving the instruction, the sending module generates a characteristic current signal on the power line. The receiving module (the Internet of Things edge management unit of the circuit breaker / LTU) real-time collects the current signal on the power line, analyzes and identifies the characteristic current information, aggregates it to the substation area intelligent terminal for sorting out the household transformer and topology relationship of the substation area, and finally the master station realizes the identification and display of the substation area topology relationship.

[0053] In step 102, a mathematical model of the total-subtotal relationship of the electric energy meters is established based on the substation area topology relationship, and the metering inaccuracy analysis of the electric energy meters is performed according to the total-subtotal relationship mathematical model and the collected power consumption data to determine the state of the electric energy meters.

[0054] Preferably, the method further includes:

[0055] When it is determined that the electric energy meter is inaccurate, the electric energy meter is replaced, and it is judged whether the replaced electric energy meter is an electric energy meter operating according to a preset version. If so, the communication module of the replaced electric energy meter is replaced with an Internet of Things edge management unit, and it is judged whether the clock of the electric energy meter is abnormal; wherein, after the Internet of Things edge management unit is powered on and initialized, it performs meter type identification and completes the initialization operation of the motor drive.

[0056] In an embodiment of the present invention, the metering of the electricity meter is analyzed to determine whether it is inaccurate, and the electricity meter with inaccurate metering is replaced. Specifically, based on the characteristic current topology recognition technology, a clear "transformer-line-meter box-household" substation area topology relationship is sorted out, the corresponding relationships between branches, meter boxes, and electricity meters are clarified, and an accurate total-sub relationship is established to establish a mathematical model; the master station of the power consumption information acquisition system sets a timing task for the terminal to collect a large amount of instantaneous power data of circuit breakers, LTUs, and electricity meters; according to the branch-meter box-electricity meter corresponding relationship, the terminal performs big data analysis on the power data in the substation area, and uses multiple criteria for fitting judgment. The robust mean error formula is used to replace the traditional mean square error formula, and cosine and Pearson are combined to determine the similarity, reducing the interference of small meters on the solution coefficients, and realizing the adaptive separation of out-of-tolerance meters and normal meters; based on robust least squares regression, the algorithm robustness is enhanced, and the resistance to abnormal points is improved to offset the influence of the total meter error, that is, the inaccuracy of the total meter does not affect the identification of out-of-tolerance meters. The total meter deviation can be calculated by the algorithm. When the terminal side detects that the electricity meter with inaccurate metering is out of tolerance by 2%, the terminal sends an alarm message to the master station, and the master station generates a maintenance work order to replace the inaccurate electricity meter.

[0057] Based on the electricity meter file information in the system, the master station sorts out the summary table of the 2009 version of the electricity meters operating in the on-site substation area, and replaces the communication module of the 2009 version of the electricity meter with an IoT edge management unit; after the IoT edge management unit is powered on and initialized, it performs meter type identification and completes the initialization operation of the motor drive. According to the DL / T645-2007 protocol, the IoT edge management unit sends a command to read the communication address to obtain the communication address of the 2009 version of the electricity meter. After successfully obtaining the communication address of the electricity meter, it sends a command to read the data identifier: 04 00 01 01 date and week command and a command to read the data identifier: 04 00 01 02 time command to obtain the clock of the 2009 version of the electricity meter, and stores, maintains, and continuously monitors the electricity meter clock.

[0058] In step 103, when it is determined that the electricity meter status indicates that the electricity meter is accurate, it is judged whether the electricity meter clock is abnormal, and a judgment result is obtained.

[0059] In an embodiment of the present invention, the process of monitoring the abnormal clock of the electricity meter and clock governance includes: Based on the HPLC communication network between the CCO and STA of the HPLC module, the accurate perpetual calendar clock can be obtained from the terminal side, and based on the HPLC network heartbeat, the system's second reference clock with an error of ±4 us can be maintained; the STA module actively obtains the electricity meter clock information and monitors the running accuracy of the electricity meter clock; the STA module actively compares the electricity meter clock, and when a clock anomaly is detected, the module actively reports it. The master station analyzes according to the received clock deviation information and issues corresponding clock governance solutions for different clock deviation types. When authorized, the module starts the function of time synchronization for the electricity meter; when the error between the electricity meter clock and the system's accurate clock is large (more than 5 minutes), the module can periodically synchronize the electricity meter time and synchronize the electricity meter clock to the system's accurate clock day by day. For the 09-type meter, the IoT edge governance unit can be replaced. When the IoT edge governance unit receives the time synchronization command, it automatically analyzes the deviation information between the time synchronization time and the electricity meter clock. When the clock deviation exceeds 5 minutes, it operates the programming button of the 2009-version electricity meter by controlling the motor of the clock governance module, making the 2009-version electricity meter enter the programming state, and then automatically sets the date and time, completing the clock calibration of the 09 electricity meter at one time and solving the problem of clock deviation of the 2009-version electricity meter.

[0060] In step 104, when the judgment result indicates normal, update the parameters of the electricity meter that implements time-of-use electricity price so that the electricity meter implements the time-of-use electricity price policy.

[0061] Preferably, the updating the parameters of the electricity meter that implements time-of-use electricity price so that the electricity meter implements the time-of-use electricity price policy includes:

[0062] The master station queries the number of time zones, the number of daily time period tables, the electricity meter operation status word, and the current set time zone table and daily time period table data of the electricity meters in the area according to the archives, and compares and analyzes whether the time-of-use electricity price related parameters read back conform to the current time-of-use electricity price policy; among them, if the time-of-use electricity price parameters do not conform to the latest time-of-use electricity price policy, new time-of-use electricity price parameters are sent to the electricity meter, and the effective time of the new parameters is set correspondingly so that the electricity meter implements the time-of-use electricity price policy.

[0063] In an embodiment of the present invention, the relevant parameters of the time-of-use electricity meter are updated first. Specifically, when the time-of-use electricity price policy is further improved, different electricity charge policies need to be implemented for different electricity consumption periods, and the daily time period parameters of the time-of-use metering of the electricity meter need to be refined. First, the master station needs to query the number of time zones of the electricity meters in the substation area, the number of daily time period tables, the electricity meter operation status word, and the current set of time zone tables and daily time period table data according to the archives, and compare and analyze whether the time-of-use electricity price related parameters read back conform to the current time-of-use electricity price policy; if the time-of-use electricity price parameters do not conform to the latest time-of-use electricity price policy, new time-of-use electricity price parameters are sent to the electricity meter, and the effective time of the new parameters is set accordingly. The master station sends a new time-of-use electricity price parameter command, and the terminal forwards the command message. The router uses the HPLC communication network to transmit the parameter update command to the HPLC meter module side, and the HPLC module forwards the command to the electricity meter, and the electricity meter completes the parameter update. For the 2009 version of the electricity meter, when the Internet of Things edge management unit receives the parameter update command, it starts the motor control gear robotic arm to press the programming key at the same time to achieve remote parameter update; the electricity meter waits for the effective time of the time-of-use electricity price parameters to arrive, and the electricity meter switches to the new time-of-use electricity price parameters for time-of-use metering.

[0064] Then, the time-of-use electricity price policy is implemented. Specifically, when the time-of-use electricity price parameters of the electricity meter have been updated, the power consumption information collection system collects the daily frozen electricity quantity data of the electricity meter every day, and performs billing and settlement according to the sub-rate electricity quantity data in the daily frozen data of the electricity meter combined with the latest electricity price policies of each city. The system generates relevant electricity quantity usage information and payment orders and pushes the order information to the user side through the telecommunications mobile communication network. The user side pays according to the time-of-use electricity price bill, completing the last link of the implementation of the time-of-use electricity price policy.

[0065] Preferably, the method further includes:

[0066] When the judgment result indicates an abnormality, the clock of the electricity meter is calibrated according to the one-meter-one-policy clock governance scheme, and after the calibration is completed, the process returns to the step of analyzing the metering inaccuracy of the electricity meter according to the total-sub relationship mathematical model and the collected electricity quantity data to determine the status of the electricity meter, and recalculating.

[0067] In an embodiment of the present invention, when the judgment result indicates an abnormality, the clock of the electricity meter is calibrated according to the one-meter-one-policy clock governance scheme, and after the calibration is completed, the process returns to the step of analyzing the metering inaccuracy of the electricity meter according to the total-sub relationship mathematical model and the collected electricity quantity data to determine the status of the electricity meter, and recalculating.

[0068] The time-of-use electricity price policy implementation plan provided by the present invention relies on the HPLC network to realize the topological relationship of low-voltage power distribution areas based on the characteristic current identification technology, and can sort out the topological relationship of the "transformer-line-meter box-household" power distribution area, clarify the corresponding relationships of branches, meter boxes and electric meters, and provide support for the on-line metering inaccuracy analysis of electric energy meters; the inaccuracy analysis of electric energy meters relies on big data analysis algorithms to realize the adaptive separation of out-of-tolerance meters and normal meters. Multiple criteria are used for fitting judgment, and electric meters with very small electricity consumption are excluded to realize the inaccuracy analysis of all electric meters in the power distribution area. For the clock problem of electric energy meters, based on the HPLC network clock synchronization technology, the module side can achieve accurate millennium calendar clock synchronization with the terminal side, and the module side can monitor and calibrate the clock of electric energy meters; for the 2009 version of electric energy meters that cannot be remotely set with parameters, the communication module can replace the Internet of Things edge governance unit, which uses the internal motor module to drive the robotic arm to operate the programming key of the electric energy meter, and automatically presses the programming key to realize remote parameter update when updating the time-of-use electricity price parameters. The solution provided by the present invention can solve the problems of inaccurate metering of electric energy meters that cannot be remotely controlled, clock out-of-tolerance governance, and parameter update during the implementation process of time-of-use electricity price, avoiding on-site participation of personnel, and can ensure the efficient and successful implementation of the time-of-use electricity price policy.

[0069] The solution proposed by the present invention can effectively solve the problems of inaccurate metering of electric energy meters, out-of-tolerance of electric energy meter clocks, inability to remotely update parameters of the 2009 version of electric energy meters, and inability to calibrate clock out-of-tolerance greater than 5 minutes during the implementation process of time-of-use electricity price policy, eliminate the key factors of inaccurate metering of electric energy meters directly caused by inaccurate metering of electric energy meters and clock out-of-tolerance, and fully consider the support ability of existing electric energy meters, endow the 09 version of electric energy meters with the ability to remotely set parameters, realize peak-valley period division, peak-time electricity price and dynamic adjustment mechanism, and can avoid large-scale capital investment in replacing electric energy meters. This solution can process each electric energy meter in the low-voltage power distribution area one by one without personnel going to the meter end site, greatly saving manpower and material resources. It is currently the only solution that can comprehensively solve the time-of-use electricity price policy implementation system remotely. At the same time, the system is automatically maintained. Once inaccurate metering of electric energy meters or clock out-of-tolerance is found, it can be processed in time to ensure the successful implementation of the time-of-use electricity price policy and the stable and continuous operation of the system, further supporting the guidance of users to cut peaks and fill valleys on the demand side, flattening the peak load of the power grid, and ensuring the safe and economic operation of the power grid; and using the time-of-use electricity price mechanism to guide an orderly power consumption environment and promote the achievement of the "dual carbon" goal.

[0070] Figure 2 The flowchart of the implementation of time-of-use electricity price according to an embodiment of the present invention is as Figure 2 shown, and the method includes:

[0071] Step 1, using the HPLC network, realizing the sorting of the power distribution area based on the characteristic current, and performing big data analysis to determine the status of the electric energy meter;

[0072] Step 2: Determine whether the electricity meter is mismeasured. If it is mismeasured, replace the electricity meter and proceed to Step 3; otherwise, directly proceed to Step 4.

[0073] Step 3: Determine whether the electricity meter implements the 2009 protocol. If so, replace the IoT edge management unit and determine whether the clock of the electricity meter is abnormal. Among them, if it is abnormal, proceed to Step 4; otherwise, proceed to Step 5.

[0074] Step 4: Start the one-meter-one-policy clock management solution, calibrate the clock of the electricity meter, and return to Step 1.

[0075] Step 5: Start to configure the metering period of the electricity meter.

[0076] Step 6: Implement the time-of-use electricity price plan.

[0077] Figure 3 FIG. 300 is a schematic structural diagram of a system 300 for supporting the implementation of the time-of-use electricity price policy according to an embodiment of the present invention. As Figure 3 shown, the system 300 for supporting the implementation of the time-of-use electricity price policy provided by the embodiment of the present invention includes: a substation area topology relationship determination unit 301, an electricity meter status determination unit 302, a judgment result acquisition unit 303, and an update unit 304.

[0078] Preferably, the substation area topology relationship determination unit 301 is configured to use a broadband power line carrier HPLC communication network to identify the substation area topology relationship according to the characteristic current and determine the substation area topology relationship.

[0079] Preferably, the substation area topology relationship determination unit 301 identifies the substation area topology relationship according to the characteristic current and determines the substation area topology relationship, including:

[0080] The master station system sends a sending instruction to the characteristic current sending module STA.

[0081] The sending module receives the sending instruction and forms a characteristic current signal through a preset modulation method in cooperation with a modulation circuit and feeds it to the power line.

[0082] The receiving module detects the characteristic current signal through a CT and performs corresponding demodulation processing to restore the characteristic current signal on the power line to characteristic current information.

[0083] The substation area intelligent terminal sorts out the substation area household transformation and topology relationship according to the characteristic current information, so that the master station can identify the substation area topology relationship and determine the substation area topology.

[0084] Preferably, the electricity meter status determination unit 302 is configured to establish a mathematical model of the total and sub-relationship of electricity meters based on the topology relationship of the power distribution area, and perform analysis on the inaccurate measurement of electricity meters according to the mathematical model of the total and sub-relationship and the collected electricity quantity data to determine the status of the electricity meters.

[0085] Preferably, the judgment result acquisition unit 303 is configured to determine whether the clock of the electricity meter is abnormal and obtain a judgment result when it is determined that the status of the electricity meter indicates that the electricity meter is not inaccurate.

[0086] Preferably, the update unit 304 is configured to update the parameters of the electricity meters that execute time-of-use electricity prices when the judgment result indicates normal, so that the electricity meters execute the time-of-use electricity price policy.

[0087] Preferably, the update unit 304 updates the parameters of the electricity meters that execute time-of-use electricity prices so that the electricity meters execute the time-of-use electricity price policy, including:

[0088] The master station queries the number of time zones and daily time period tables of electricity meters in the power distribution area according to the archives, the electricity meter operation status word, and the current set time zone table and daily time period table data, and compares and analyzes whether the time-of-use electricity price related parameters read back conform to the current time-of-use electricity price policy; wherein, if the time-of-use electricity price parameters do not conform to the latest time-of-use electricity price policy, new time-of-use electricity price parameters are sent to the electricity meters, and the effective time of the new parameters is set correspondingly, so that the electricity meters execute the time-of-use electricity price policy.

[0089] Preferably, the system further includes:

[0090] The electricity meter replacement unit is configured to replace the electricity meter when it is determined that the electricity meter is inaccurate, and determine whether the replaced electricity meter is an electricity meter operating according to a preset version. If so, replace the communication module of the replaced electricity meter with the Internet of Things edge management unit, and determine whether the clock of the electricity meter is abnormal; wherein, after the Internet of Things edge management unit is powered on and initialized, it performs meter type identification and completes the initialization operation of the motor drive.

[0091] Preferably, the system further includes:

[0092] The clock calibration unit is configured to calibrate the clock of the electricity meter according to the one-meter-one-policy clock management scheme when the judgment result indicates abnormality, and return to the electricity meter status determination unit to recalculate after the calibration is completed.

[0093] The system 300 for supporting the implementation of the time-of-use electricity price policy in the embodiment of the present invention corresponds to the method 100 for supporting the implementation of the time-of-use electricity price policy in another embodiment of the present invention, and will not be elaborated here.

[0094] The present invention has been described with reference to a few embodiments. However, as is well known to those skilled in the art, other embodiments equivalent to those disclosed above of the present invention equally fall within the scope of the present invention as defined by the appended patent claims.

[0095] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless otherwise explicitly defined therein. All references to "a / the [device, component, etc.]" are to be construed openly as at least one instance of the device, component, etc., unless otherwise explicitly stated. The steps of any method disclosed herein need not be performed in the exact order disclosed, unless explicitly stated.

[0096] Those skilled in the art will appreciate that the embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0097] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device produce means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0098] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are executed on the computer or other programmable apparatus to produce a computer-implemented process, thereby the instructions executed on the computer or other programmable apparatus provide steps for realizing the functions specified in one process or a plurality of processes and / or blocks. Figure 1 one process or a plurality of processes and / or blocks Figure 1 steps for realizing the functions specified in one block or a plurality of blocks.

[0100] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: the specific embodiments of the present invention can still be modified or equivalently replaced, and any modification or equivalent replacement without departing from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A method for supporting the implementation of time-of-use electricity price policy, characterized in that, The method includes: Using a broadband power line carrier HPLC communication network, identifying the topological relationship of the transformer area according to the characteristic current, and determining the topological relationship of the transformer area; Based on the topological relationship of the transformer area, establishing a mathematical model of the total-subtotal relationship of the electric meters, and performing an analysis of the misalignment of the electric energy meter measurement according to the mathematical model of the total-subtotal relationship and the collected power consumption data to determine the status of the electric energy meter; When it is determined that the status of the electric energy meter indicates that the electric energy meter is not out of calibration, determine whether the clock of the electric energy meter is abnormal, and obtain a judgment result; When the judgment result indicates normal, update the parameters of the electric energy meter that implements time-of-use electricity price, so that the electric energy meter implements the time-of-use electricity price policy; Wherein, the method further includes: When it is determined that the electric energy meter is out of calibration, replace the electric energy meter, and determine whether the replaced electric energy meter is an electric energy meter operating according to a preset version. If so, replace the communication module of the replaced electric energy meter with an IoT edge management unit, and determine whether the clock of the electric energy meter is abnormal; wherein, after the IoT edge management unit is powered on and initialized, it performs meter type identification and completes the initialization operation of the motor drive; Wherein, the updating of the parameters of the electric energy meter that implements time-of-use electricity price so that the electric energy meter implements the time-of-use electricity price policy includes: The master station queries the number of time zones, the number of daily time period tables, the operation status word of the electric energy meter, and the current set time zone table and daily time period table data of the electric energy meters in the transformer area according to the archives, and compares and analyzes whether the time-of-use electricity price related parameters read back conform to the current time-of-use electricity price policy; wherein, if the time-of-use electricity price parameters do not conform to the latest time-of-use electricity price policy, new time-of-use electricity price parameters are sent to the electric energy meter, and the effective time of the new parameters is set correspondingly, so that the electric energy meter implements the time-of-use electricity price policy; Wherein, the method further includes: When the judgment result indicates abnormality, calibrate the clock of the electric energy meter according to the one-meter-one-policy clock management scheme, and after the calibration is completed, return to the step of performing an analysis of the misalignment of the electric energy meter measurement according to the mathematical model of the total-subtotal relationship and the collected power consumption data to determine the status of the electric energy meter, and recalculate.

2. The method according to claim 1, wherein The identifying the topological relationship of the transformer area according to the characteristic current and determining the topological relationship of the transformer area includes: The master station system sends a sending instruction to the characteristic current sending module STA; The sending module receives the sending instruction, and forms a characteristic current signal through a preset modulation method in cooperation with a modulation circuit and feeds it to the power line; The receiving module detects the characteristic current signal through a CT and performs corresponding demodulation processing to restore the characteristic current signal on the power line to characteristic current information; The transformer area intelligent terminal sorts out the household-transformer and topological relationship of the transformer area according to the characteristic current information, so that the master station realizes the identification of the topological relationship of the transformer area and determines the topological relationship of the transformer area.

3. A system for supporting the implementation of time-of-use electricity price policy, characterized in that, The system includes: A transformer area topological relationship determination unit, configured to use a broadband power line carrier HPLC communication network to identify the topological relationship of the transformer area according to the characteristic current and determine the topological relationship of the transformer area; An electric energy meter status determination unit, configured to establish a mathematical model of the total-subtotal relationship of the electric meters based on the topological relationship of the transformer area, and perform an analysis of the misalignment of the electric energy meter measurement according to the mathematical model of the total-subtotal relationship and the collected power consumption data to determine the status of the electric energy meter; A judgment result acquisition unit, configured to judge whether the electric energy meter clock is abnormal when it is determined that the state of the electric energy meter indicates that the electric energy meter is not out of calibration, and acquire the judgment result; An update unit, configured to update the parameters of the electric energy meter that implements time-of-use electricity price when the judgment result indicates normal, so that the electric energy meter implements the time-of-use electricity price policy; Wherein, the system further includes: An electric energy meter replacement unit, configured to replace the electric energy meter when it is determined that the electric energy meter is out of calibration, and judge whether the replaced electric energy meter is an electric energy meter operating according to a preset version. If so, replace the communication module of the replaced electric energy meter with an Internet of Things edge management unit, and judge whether the electric energy meter clock is abnormal; wherein, after the Internet of Things edge management unit is powered on and initialized, it performs meter type identification and completes the motor drive initialization operation; Wherein, the update unit updates the parameters of the electric energy meter that implements time-of-use electricity price, so that the electric energy meter implements the time-of-use electricity price policy, including: The master station queries the number of time zones of the electric energy meters in the substation area, the number of daily time period tables, the electric meter operation status word, and the current set time zone table and daily time period table data according to the archives, and compares and analyzes whether the time-of-use electricity price related parameters read back conform to the current time-of-use electricity price policy; wherein, if the time-of-use electricity price parameters do not conform to the latest time-of-use electricity price policy, new time-of-use electricity price parameters are sent to the electric energy meter, and the effective time of the new parameters is set correspondingly, so that the electric energy meter implements the time-of-use electricity price policy; Wherein, the system further includes: A clock calibration unit, configured to calibrate the electric energy meter clock according to a one-meter-one-policy clock management scheme when the judgment result indicates abnormality, and after the calibration is completed, return to the electric energy meter state determination unit for recalculation.

4. The system according to claim 3, wherein The substation area topology relationship determination unit identifies the substation area topology relationship according to the characteristic current, and determines the substation area topology relationship, including: The master station system sends a sending instruction to the characteristic current sending module STA; The sending module receives the sending instruction, and forms a characteristic current signal through a preset modulation method in cooperation with a modulation circuit and feeds it to the power line; The receiving module detects the characteristic current signal through the CT and performs corresponding demodulation processing to restore the characteristic current signal on the power line to characteristic current information; The substation area intelligent terminal sorts out the substation area household transformation and topology relationship according to the characteristic current information, so that the master station realizes the identification of the substation area topology relationship and determines the substation area topology relationship.

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