A flexible control method and system for electric heating load

Abstract

The present invention discloses a method and system for flexible control of electric heating load, which relate to the field of power distribution technology. The method formulates a control strategy for electric heating equipment and controls the operating status of the electric heating equipment based on the monitoring results of the power grid load and the power monitoring results of the electric heating equipment; when executing flexible control of the electric heating load, the power history curve of each electric heating equipment in the proposed list is collected, and it is determined whether each electric heating equipment is currently operating under constant temperature and power, and the electric heating equipment in the proposed list is determined as the electric heating equipment to be powered off first; power is cut off for some or all of the electric heating equipment, and when the power-off time reaches a preset power-off time threshold, when the flexible control of the electric heating load is continued, the electric heating equipment that was powered off last time is excluded from the proposed list. The system is used to implement the method. The scheme can realize flexible control of the orderly electricity use of electric heating users, and at the same time can avoid or weaken the impact on users, thereby ensuring the quality of power grid services.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution, and in particular to a method and system for flexible control of electric heating load. Background Art

[0002] Electric heating is a heating method that converts electrical energy into thermal energy. This heating method has the characteristics of no noise, no exhaust gas, high heating efficiency, strong controllability, small space occupation, and comfort. It is the mainstream heating method in scenic spots in cold areas. At the same time, electric heating equipment also has the characteristics of large load and decentralized use. Such characteristics make electric heating equipment have a great impact on the operation of the power grid and are not convenient for centralized control when used. The main manifestation is that the randomness of use increases the peak-to-valley difference of the power grid load, affects the safe and economic operation of the power grid, and cannot understand and intervene in the operation of electric heating equipment in real time, making it difficult to meet the requirements of orderly and safe power use of the power grid.

[0003] In the prior art, in order to optimize the power supply quality of scenic spots in cold areas and realize planned power supply, for decentralized and randomly used electric heating equipment, the number of electric heating users and capacity are counted and reported by the substation. Taking a scenic spot in the north as an example, the load of electric heating equipment accounts for more than 60% of the total load of the substation. During the peak tourist season, the growth of power load has an increasingly strong trend, which brings problems including transformer overload (distribution network side and distribution transformer side transformer, distribution network side transformer is also called main transformer, distribution transformer side transformer is also called substation transformer, main transformer connects the power generation side with multiple substations through transmission lines, distribution transformer side transformer serves as transformer for each substation), line overload problem (distribution network side line and distribution transformer side line, distribution network side line is also called high voltage line, distribution transformer side line is also called low voltage line), and the resulting faults and problems include: long-term overload operation of cables, long-term heating operation of cables resulting in reduced current carrying capacity, increased failure rate and excessive line loss; frequent overload tripping of power grid equipment and equipment burning, which increases the power grid operation cost and failure rate time, and increases the unplanned power outage time of users.

[0004] Regarding orderly electricity consumption technology, the prior art, such as the technical solution provided by patent application number CN202210216324.3, proposes a technical solution that monitors electricity demand (land status data) and distribution line load, formulates a flexible dispatching strategy for the load of a group of machine-wells, and outputs corresponding control instructions to complete the remote control and execution of the flexible dispatching strategy for the load of a group of machine-wells. This solution reduces the operating pressure of the power grid during the peak irrigation period through precise control of household loads and orderly electricity consumption management, takes into account the electricity demand for agricultural irrigation while maximizing the satisfaction of social electricity demand, comprehensively improves the active perception and decision-making control capabilities of the operating status of medium and low voltage distribution networks, and effectively supports the improvement of the lean management level of distribution networks.

[0005] In order to comply with the energy efficiency control objectives under the “dual carbon” call, it is necessary to further optimize the flexible control technology of electric heating load. Summary of the invention

[0006] In response to the above-mentioned problem of further optimizing the flexible control technology of electric heating load, the present invention provides a flexible control method and system for electric heating load. This scheme can not only realize flexible control of orderly electricity consumption of electric heating users, but also avoid or weaken the impact of electricity consumption control on users, thereby ensuring the quality of power grid services.

[0007] In view of the above problems, the present invention provides a method and system for flexible control of electric heating load to solve the problems through the following technical points: a method for flexible control of electric heating load, which formulates an electric heating equipment control strategy based on the power grid load monitoring results and the power monitoring results of multiple electric heating equipment connected to the power grid, and controls the operating state of the electric heating equipment according to the control strategy, wherein the power grid load includes at least one of a transformer load and a transmission line load;

[0008] When the grid load monitoring result shows that the load is greater than the set load threshold and the duration is greater than the set time threshold, it is determined to perform flexible control of electric heating load, and the power history curve of each electric heating equipment in the proposed list is collected. According to the power history curve of each electric heating equipment, it is determined whether each electric heating equipment is currently operating under constant temperature power. For the electric heating equipment that is determined to be currently operating under constant temperature power, the control strategy is formulated as follows: the electric heating equipment operating under constant temperature power is determined as the electric heating equipment to be powered off first; the constant temperature power refers to the power of the electric heating equipment working under the condition of maintaining the current indoor temperature;

[0009] The method for controlling the operating status of electric heating equipment according to the control strategy is: power off some or all of the electric heating equipment that are determined to be prioritized, record the power off time of each electric heating equipment, and when the power off time reaches the preset power off time threshold, re-judge whether to continue to implement the flexible control of the electric heating load. When continuing to implement the flexible control of the electric heating load, the electric heating equipment that was powered off during the last flexible control of the electric heating load is excluded from the proposed list.

[0010] This scheme aims to provide a method of analyzing and judging the results of power grid load monitoring, and determining whether to implement flexible control of electric heating load based on the results of the analysis. When implementing flexible control of electric heating load, the electric heating equipment under constant temperature and power operation is determined based on the power history curve of each electric heating equipment in the proposed list. When controlling the operating status of the electric heating equipment, according to needs, these electric heating equipment under constant temperature and power operation are partially or completely powered off, and the power-off time of each electric heating equipment is recorded. When the power-off time reaches the preset power-off threshold, if it is necessary to continue to implement flexible control of electric heating load, the power supply of the electric heating equipment that was powered off during the last flexible control of electric heating load is restored.

[0011] In summary, this solution provides an orderly power consumption control method that can protect power grid equipment and lines and reduce the failure rate of the power grid. In specific means, it reduces the impact of heating on individual users during the implementation of the control by performing round-robin power outage control in electric heating equipment, thereby achieving the purpose of flexible control of orderly power consumption of electric heating users.

[0012] At the same time, this scheme uses the power history curve as a reference factor when determining the target power-off users in the proposed list. The power data required by the power history curve can be separated and extracted from the total power monitored by the smart power meter based on the high power characteristics of the electric heating equipment, or directly obtained from the Internet of Things circuit breaker separately set up for the electric heating equipment. This power data acquisition method is not only real-time and online, but also avoids interference from human factors such as user reporting, so that the corresponding data collection is timely, convenient and accurate.

[0013] At the same time, after obtaining the power history curve, the basis for determining the electric heating equipment to be powered off is the current operating power. The specific principle is: according to the simulation model of different stages of electric heating, from the stage of indoor temperature rising of electric heating to the stage of indoor temperature reaching constant temperature of electric heating, since only the electric heater is needed to maintain the current indoor temperature after reaching the constant temperature, there will be a waveform feature of maintaining balance / stability after a significant power drop on the power history curve. The waveform feature of the power history curve is used to judge whether the indoor temperature of the electric heating has reached the indoor constant temperature at the current moment. When the current waveform feature in the power history curve is a stable waveform, it is considered that the current electric heater is operating under constant temperature power and the current indoor temperature has reached the set temperature. Users who have reached the indoor constant temperature are determined as users who can be given priority to cut off electric heating, assisted by the heat accumulated in the indoor objects and walls of the electric heating. After the power outage is implemented, the purpose of temperature-imperceptible power outage for users in the substation is achieved as much as possible, so as to avoid or weaken the impact of electricity consumption control on users and ensure the quality of power grid services.

[0014] As a technician in this field, the multiple electric heating devices connected to the power grid may be all the electric heating devices connected to the power grid or part of the electric heating devices. For example, the electric heating equipment used by user categories such as hospitals, schools, and 24-hour duty rooms are excluded from the scope of flexible management and control when not necessary, or these user categories have a lower power off priority. Accordingly, the proposed list may be a list excluding these user categories or a list including these user categories. Regarding the load threshold used in the grid load monitoring results, technicians in this field can set it based on the rated load, service life, current good condition of the grid equipment, etc. For example, for the main transformer, since the number of users affected after its failure is large, the load threshold can be selected between 60% and 100% of the rated load. For the transmission line, compared with the main transformer, the number of users affected after its failure is small, and the load threshold can be selected between 70% and 100% of the rated load. For the substation transformer, since the number of users affected after its failure is the least, the load threshold can be selected between 80% and 100% of the rated load; the duration is the load duration greater than the set load threshold. This factor is set in the factors for determining the execution of flexible control of electric heating load, with the purpose of judging whether to execute flexible load control under the condition of stable operation of the grid; similarly, regarding the duration, considering the impact of faults at different grid levels on the scope of power outage, the duration of the main transformer can be set to be slightly shorter, so as to achieve the desired effect from the perspective of load control. Reduce the failure rate of the main transformer, followed by the transmission line. The duration can be set to be the same as or slightly longer than that of the main transformer, such as 60 minutes for both. Followed by the substation transformer, the duration can be set to be the same as or slightly longer than that of the transmission line, such as 60 minutes for the transmission line and 120 minutes for the substation transformer. Taking into account the rated load, service life, and current good condition of the power grid equipment, the optimal application is to set the load threshold and duration to adjustable values ​​during the execution of the control method, so as to manually set the dynamic load threshold and duration for the corresponding system through human-computer interaction. For the preset power-off time, the system can set the time by itself according to the specific outdoor temperature or manually assign the time. For example, when the outdoor temperature is below minus 30°, the preset power-off time is 15 minutes, when the outdoor temperature is below minus 15°, the preset power-off time is 20 minutes, and when the outdoor temperature is below 0°, the preset power-off time is 30 minutes.

[0015] As a further technical solution of the electric heating load flexible control method:

[0016] The grid load monitoring is implemented based on TTU, and the power monitoring of each electric heating device and the power on and off of each electric heating device are implemented based on the Internet of Things type circuit breaker connected to each electric heating device;

[0017] The method for obtaining the power history curve is as follows: the IoT circuit breaker uploads the power collection results at multiple times to the TTU, and the TTU obtains the power history curve according to the power collection results, or the TTU uploads the power collection results to the upper-level data processing device, and the upper-level data processing device obtains the power history curve according to the power collection results;

[0018] In the process of controlling the operating status of the electric heating equipment, the power supply to the electric heating equipment is cut off by executing remote control instructions through the Internet of Things type circuit breaker. While continuing to implement flexible control of the electric heating load, the power supply to the electric heating equipment is restored by executing remote control instructions through the Internet of Things type circuit breaker.

[0019] In this solution, the TTU is the distribution transformer monitoring terminal (also called the distribution monitoring terminal). For example, for the main transformer, TTU is the distribution main transformer monitoring terminal, for the substation transformer, TTU is the distribution substation transformer monitoring terminal, and for the transmission line, TTU is the distribution transmission line monitoring terminal. According to the different TTU data collection methods, TTU can be used to directly collect data by connecting to the existing current and voltage transformer terminal blocks, or TTU can be used to obtain relevant voltage, current, power and other data through the cascade port of the concentrator via RS485. As mentioned above, the use of IoT circuit breakers is a timely, convenient and accurate data collection method. Correspondingly, for power on and off control, IoT circuit breakers can perform power on and off control locally according to remote instructions, and have the characteristics of automatic execution of on and off, and fast execution of on and off. At the same time, this solution uses the characteristics of TTU with certain computing power, and uses TTU as an edge computing device in the power system. In the process of obtaining the power history curve, the power collection results of the IoT circuit breaker are collected, and the power history curve is obtained according to the results, or the power collection results are summarized and uploaded to the upper data processing equipment to obtain the power history curve, so as to share the computing pressure of the upper data processing equipment. Taking the substation transformer as the control unit as an example, a specific application is that TTU collects the voltage and current on the substation side through RS485 or direct acquisition, and judges the heavy overload of the substation transformer; collects the voltage, current, power and other data of the user electric heating equipment where the IoT circuit breaker is located through HPLC or long wireless LoRA dual-mode, and controls the opening and closing of the IoT circuit breaker; for the power grid management department, TTU forwards the substation data, electric heating user data and load flexible control judgment results collected by the business APP through the APN channel to the provincial front-end, uploads it to the property management platform, and then displays it at the provincial distribution self-IV district master station.

[0020] The method for judging whether each electric heating device is currently operating at a constant temperature power is as follows: judging whether the current power of the electric heating device is in the stable waveform segment of the power history curve according to the waveform characteristics of the power history curve, and judging whether there is a descending waveform segment before the stable waveform segment;

[0021] When it is determined that the current power is in the stable waveform segment of the power history curve, there is a declining waveform segment before the stable waveform segment, and the stable waveform segment and the declining waveform segment both have a time span longer than a preset time length, it is determined that the electric heating equipment is currently operating under constant temperature power.

[0022] As described above, this scheme is based on the characteristic that different indoor temperature change stages can be fed back through the power history curve of the electric heating equipment during the use of the electric heating equipment by the electric heating users. The waveform characteristics of different stages in the power history curve are used to screen out the indoor constant temperature users in the proposed list and confirm these users as the priority power-off users in the flexible management and control strategy. The above descending waveform segment and stable waveform segment are the waveform characteristics of the indoor transition from the heating stage to the constant temperature stage during the electric heating process. The preset time length is the factor for determining the corresponding waveform segment, which aims to avoid misjudgment or reduce the probability of misjudgment. In specific applications, since different electric heating equipment has different electric heating usage environments, different electric heating equipment has personalized power history curves. For load flexible control, the power history curve can be a curve of power changes over time up to the current moment, which is only used to reflect the recent working conditions of the electric heating equipment. In order to further ensure and avoid misjudgment or reduce the probability, the preset duration can be personalized according to the historical usage data of each electric heating equipment. For example, with the advantage of machine self-learning in processing large-scale data sets, after collecting the historical usage of each electric heating equipment, a specific preset duration is determined to characterize that the electric heating equipment is in a constant temperature power operation stage to ensure the current indoor temperature at the current moment. Technical personnel in this field can also manually assign values ​​to the preset duration based on experience and data statistical results.

[0023] After determining the electric heating equipment currently operating at a constant temperature and power, predict the impact on the grid load after power is cut off for these electric heating equipment. When it is predicted that only some of the electric heating equipment operating at a constant temperature and power need to be cut off, sort the electric heating equipment operating at a constant temperature and power according to the current power size, and determine that the electric heating equipment with a larger current power has a higher power-off priority. When performing the power-off operation, the electric heating equipment operating at a certain constant temperature and power is cut off in order according to the priority.

[0024] When it is predicted that it is necessary to power off the electric heating equipment operating at all constant temperature power, and it is necessary to power off other electric heating equipment in the proposed list, the other electric heating equipment in the proposed list are sorted according to the change in current power compared to the maximum power through the power history curve, and it is determined that the electric heating equipment with a larger current power change has a higher power-off priority. When the power-off operation is performed, the electric heating equipment operating at all constant temperature power is powered off, and the other electric heating equipment in the proposed list is powered off in order of priority.

[0025] The above scheme is: when the need for flexible load control can be met by powering off only some of the electric heating equipment operating at constant temperature power, the electric heating equipment with higher current power will be set to a higher power-off priority, so as to utilize the fact that electric heating equipment with higher power generally has a larger electric heating space, and these spaces have stronger resistance to temperature reduction than smaller spaces after the electric heating effect is lost, thereby reducing the intensity of temperature change perception brought to users after the electric heating equipment is powered off, and reducing the impact of flexible load control on users' electricity consumption experience; when other electric heating equipment still needs to be powered off after all electric heating equipment operating at constant temperature power is powered off to meet the need for flexible load control, the other electric heating equipment to be powered off is determined by analyzing the power history curve and prioritizing them according to the current power change amplitude, aiming to screen out electric heating equipment whose current power is closer to the constant temperature power condition from these electric heating equipment, and prioritize these electric heating equipment for power off, which is also aimed at reducing users' perception of temperature changes after power off and improving the power supply quality of the power grid.

[0026] During the flexible control of electric heating load, the changes in grid load are monitored. When the increase in grid load exceeds the set range, the number of power outages for electric heating equipment is increased according to the power outage priority ranking in the proposed list.

[0027] We continuously monitor changes in grid load to determine whether the current flexible control strategy is effective based on the electric heating electricity consumption that may change at any time. When the control target is not achieved, the flexible control effect is enhanced by further increasing the number of disconnected electric heating equipment.

[0028] The transformer includes a main transformer and a substation transformer. The distribution transformer side of the main transformer is connected to multiple substation transformers through a transmission line, and each substation transformer is connected to multiple electric heating equipment;

[0029] When the load monitoring result of the main transformer is to perform flexible control of electric heating load, the flexible control object of electric heating load is determined according to the load of the transmission line on its distribution transformer side and the load of the substation transformer, and the object includes the overloaded transmission line and / or substation transformer, and all electric heating equipment connected to the flexible control object of electric heating load is included in the flexible load control, and a proposed list is determined from these electric heating equipment according to the load category, and the load category is different user categories divided according to the functional area of ​​the electric heating area;

[0030] When the load monitoring result of the transmission line is to perform flexible control of electric heating load, the flexible control object of electric heating load is determined according to the load of the substation transformer on its distribution transformer side, and the object includes the overloaded substation transformer. All electric heating equipment connected to the flexible control object of electric heating load is included in the flexible load control, and a proposed list is determined from these electric heating equipment according to the load category, and the load category is different user categories divided according to the functional area of ​​the electric heating area;

[0031] When the load monitoring result of the substation transformer is to implement flexible control of electric heating load, all electric heating equipment connected to the substation transformer will be included in the flexible load control, and a proposed list will be determined from these electric heating equipment according to the load category, which is different user categories divided according to the functional areas of the electric heating areas.

[0032] In the prior art, from the power generation side to the user side, it can be set to include: main transformer, transmission line, substation transformer, transmission line, electric heating equipment. Therefore, the main transformer is the transformer equipment on the power generation side of the substation transformer. The distribution transformer side of the main transformer generally has multiple substation transformers. The substation transformer is responsible for supplying power to the substation after voltage reduction. In terms of the number of electric heating equipment or users included, the relevant order is from small to large according to the number of included numbers: substation transformer, transmission line (transmission line may be connected to multiple substation transformers), main transformer. At the same time, as introduced above, the number of users covered by the substation transformer, main transformer and the transmission line between the two transformers is different. Considering the impact range of power outage after the fault, the better application is to set different load thresholds and durations for different power grid load monitoring objects when determining whether to perform flexible control of electric heating load. Based on this concept, the above provides a technical solution for applying load monitoring results of different levels of the power grid to flexible control and judgment, so as to achieve the purpose of orderly power use and safe power use to a greater extent. It is easy to understand that the coverage area of ​​the main transformer includes the coverage areas of all substation transformers connected to it through transmission lines. The coverage area of ​​the transmission line may involve only the coverage area of ​​a single substation transformer, or it may involve the coverage areas of multiple substation transformers. Therefore, when the flexible control is determined by the main transformer load, the control object is determined first, and then the proposed list is determined from the electric heating equipment under the control object, and then the specific controlled electric heating equipment is determined. Similarly, for transmission lines, since they may cover multiple substations, the substation object is determined first, and then the electric heating equipment in the specific substation is controlled. Similarly, for substation transformers, since they are directly connected to user loads, the electric heating equipment in the substation is directly controlled. The above scheme proposes load categories. For example, according to the functional division of electric heating areas, for all electric heating equipment in the scenic area, the load categories can be confirmed as four categories including hospitals, schools, ordinary users and 24-hour duty rooms. The proposed list can be just a list of ordinary users, or a list including users of other load categories, but hospitals, schools, and 24-hour duty room users are set as users with lower power outage priority in the proposed list. In the above scheme, the grid load monitoring results are used to trigger flexible control. When determining the flexible control object, in addition to judging the object based on whether it is overloaded, the object can also be determined based on the load. For example, the substation transformer and / or transmission line with a larger load rate can be used as the object.

[0033] In the process of executing flexible control of electric heating load according to the transformer load monitoring results of the substation, if it is determined that it is necessary to execute flexible control of electric heating load according to the transmission line load monitoring results, the flexible control of electric heating load determined according to the transformer load monitoring results of the substation is stopped, and the flexible control of electric heating load determined according to the transmission line load monitoring results is executed;

[0034] In the process of executing flexible control of electric heating load according to the transmission line load monitoring results, if it is determined that flexible control of electric heating load needs to be executed according to the main transformer load monitoring results, the flexible control of electric heating load determined according to the transmission line load monitoring results is stopped, and the flexible control of electric heating load determined according to the main transformer load monitoring results is executed.

[0035] If substation transformers, transmission lines, and main transformers are defined as control units for flexible load control, the above scheme provides a technical solution for reducing the failure of upper-level power grid equipment as much as possible when necessary by giving priority to load flexible control of upper-level control units according to the levels of different control units in the power grid when executing load flexible control. A better application is to take the load rate into consideration when determining the object, that is, the object includes substation transformers and transmission lines with a high load rate or exceeding the set load rate, and compared with the load flexible control of the next-level control unit, the scope / substation participating in load flexible control is increased.

[0036] The ways to distinguish user categories are:

[0037] Establishing a user portrait tag based on the historical electricity consumption records of each electric heating device, wherein the historical electricity consumption records include multiple 24-hour electricity consumption history curves;

[0038] The method for establishing user portrait marking is: obtaining the 24-hour user electricity usage pattern through the 24-hour electricity usage history curve, the electricity usage pattern including the electricity power consumption in different time periods or the continuous electricity usage duration of each electricity power consumption, and judging whether the user has the same electricity usage pattern on different dates according to multiple 24-hour electricity usage history curves; when they have the same electricity usage pattern and the difference in electricity power consumption in different time periods of 24 hours is less than the preset power variation range, these users are confirmed as special users and excluded from the proposed list, or, these users are planned in the proposed list and marked as having a lower power outage priority.

[0039] The above scheme provides a specific way to distinguish user categories, specifically: according to the electricity consumption history records recorded in days, the user's electricity consumption characteristics are confirmed according to the actual electricity consumption rules. When multiple days have the same electricity consumption rules and the power fluctuations throughout the day are small, it can be considered that such an electric heating environment is a hospital environment or a 24-hour duty room environment. It is advisable to try to ensure electric heating for these users. For the school environment, there is no small difference in power consumption characteristics in different periods of 24 hours. The specific basis for judgment is to identify whether there is an obvious high power consumption rule during the class time period in the 24-hour electricity consumption history curve. If so, it is determined that the user category is a school user, and it is advisable to try to ensure electric heating for these users. The user category distinction based on the 24-hour electricity consumption history curve is derived from power data. In summary, it can be concluded that this method has the characteristics of timely, convenient and accurate corresponding data collection. In addition, user categories can also be distinguished based on user reports, but this method is difficult to eliminate interference from human factors.

[0040] When power is restored to the heating equipment that has been powered off, the impact of power restoration on the grid load is predicted based on the power history curve of the electric heating equipment to be restored. When the impact is that the grid load after power is restored is greater than the set load threshold, the electric heating equipment that has been powered off is newly added according to the power outage priority ranking.

[0041] The above solution provides a method of taking into account the impact of the electric heating equipment that is about to be restored on the grid load when restoring power to the electric heating equipment that has been cut off, and adopts a priority round-robin power consumption method to add additional disconnected electric heating equipment to offset the impact of this part of the electric heating equipment on the grid load, thereby solving the problem that the grid load monitoring results cannot include this part of the electricity demand.

[0042] The present solution also relates to a flexible control system for electric heating load, comprising a data storage module having a computer program executable by a computer, a data acquisition module and a processor module, wherein the computer program is used to execute any of the above methods;

[0043] The data acquisition module is used to obtain the power grid load monitoring result and the power history curve;

[0044] The processor module is used to run the computer program.

[0045] The present invention has the following beneficial effects:

[0046] This solution provides an orderly power consumption control method that can protect power grid equipment and lines and reduce the power grid failure rate. In specific means, it reduces the impact on heating of individual users during the implementation of the control by performing round-robin power outage control in electric heating equipment, thereby achieving the purpose of flexible control of orderly power consumption of electric heating users.

[0047] This scheme uses the power history curve as a reference factor when determining the target power-off users in the proposed list. The power data acquisition method required for obtaining the power history curve is not only real-time and online, but also avoids interference from human factors such as user reporting, so that the corresponding data collection is timely, convenient and accurate.

[0048] After obtaining the power history curve, the basis for determining the electric heating equipment to be powered off is the current operating power, and the waveform characteristics of the power history curve are used to judge whether the indoor temperature of the electric heating room has reached the indoor constant temperature at the current moment. Users who have reached the indoor constant temperature are determined as users who can have their electric heating cut off first, assisted by the heat accumulated in the indoor objects and walls of the electric heating room. After the power outage is implemented, the purpose of power outage without users feeling the temperature can be achieved as much as possible, so as to avoid or weaken the impact of electricity consumption control on users and ensure the quality of power grid services. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 This is a flow chart of a specific embodiment of a method for flexible control of electric heating load described in this solution;

[0050] Figure 2 This is a control strategy flow chart of an embodiment in which the main transformer is used as the control unit in Embodiment 6;

[0051] Figure 3 This is a control strategy flow chart of an embodiment in Example 6 in which a feeder is used as a control unit. DETAILED DESCRIPTION

[0052] The present invention is further described in detail below in conjunction with embodiments, but the present invention is not limited to the following embodiments:

[0053] Embodiment 1:

[0054] Combination Figure 1 , a method for flexible control of electric heating load, the method formulating an electric heating equipment control strategy based on a power grid load monitoring result and a power monitoring result of a plurality of electric heating equipment connected to the power grid, and controlling the operation state of the electric heating equipment according to the control strategy, wherein the power grid load includes at least one of a transformer load and a transmission line load;

[0055] When the grid load monitoring result shows that the load is greater than the set load threshold and the duration is greater than the set time threshold, it is determined to perform flexible control of electric heating load, and the power history curve of each electric heating equipment in the proposed list is collected. According to the power history curve of each electric heating equipment, it is determined whether each electric heating equipment is currently operating under constant temperature power. For the electric heating equipment that is determined to be currently operating under constant temperature power, the control strategy is formulated as follows: the electric heating equipment operating under constant temperature power is determined as the electric heating equipment to be powered off first; the constant temperature power refers to the power of the electric heating equipment working under the condition of maintaining the current indoor temperature;

[0056] The method for controlling the operating status of electric heating equipment according to the control strategy is: power off some or all of the electric heating equipment that are determined to be prioritized, record the power off time of each electric heating equipment, and when the power off time reaches the preset power off time threshold, re-judge whether to continue to implement the flexible control of the electric heating load. When continuing to implement the flexible control of the electric heating load, the electric heating equipment that was powered off during the last flexible control of the electric heating load is excluded from the proposed list.

[0057] This scheme aims to provide a method of analyzing and judging the results of power grid load monitoring, and determining whether to implement flexible control of electric heating load based on the results of the analysis. When implementing flexible control of electric heating load, the electric heating equipment under constant temperature and power operation is determined based on the power history curve of each electric heating equipment in the proposed list. When controlling the operating status of the electric heating equipment, according to needs, these electric heating equipment under constant temperature and power operation are partially or completely powered off, and the power-off time of each electric heating equipment is recorded. When the power-off time reaches the preset power-off threshold, if it is necessary to continue to implement flexible control of electric heating load, the power supply of the electric heating equipment that was powered off during the last flexible control of electric heating load is restored.

[0058] In summary, this solution provides an orderly power consumption control method that can protect power grid equipment and lines and reduce the failure rate of the power grid. In specific means, it reduces the impact of heating on individual users during the implementation of the control by performing round-robin power outage control in electric heating equipment, thereby achieving the purpose of flexible control of orderly power consumption of electric heating users.

[0059] At the same time, this scheme uses the power history curve as a reference factor when determining the target power-off users in the proposed list. The power data required by the power history curve can be separated and extracted from the total power monitored by the smart power meter based on the high power characteristics of the electric heating equipment, or directly obtained from the Internet of Things circuit breaker separately set up for the electric heating equipment. This power data acquisition method is not only real-time and online, but also avoids interference from human factors such as user reporting, so that the corresponding data collection is timely, convenient and accurate.

[0060] At the same time, after obtaining the power history curve, the basis for determining the electric heating equipment to be powered off is the current operating power. The specific principle is: according to the simulation model of different stages of electric heating, from the stage of indoor temperature rising of electric heating to the stage when the indoor temperature of electric heating reaches a constant temperature, there will be a waveform feature of maintaining balance after a significant power drop on the power history curve. The waveform characteristics of the power history curve are used to judge whether the indoor temperature of the electric heating has reached the indoor constant temperature at the current moment. Users who have reached the indoor constant temperature are determined as users who can be given priority to cut off electric heating. With the assistance of the heat accumulated in the indoor objects and walls of the electric heating, after the power outage is implemented, the purpose of temperature-unaware power outage for users in the substation is achieved as much as possible, so as to avoid or weaken the impact of electricity consumption control on users and ensure the quality of power grid services.

[0061] As a technician in this field, the multiple electric heating devices connected to the power grid may be all the electric heating devices connected to the power grid or part of the electric heating devices. For example, the electric heating equipment used by user categories such as hospitals, schools, and 24-hour duty rooms are excluded from the scope of flexible management and control when not necessary, or these user categories have a lower power off priority. Accordingly, the proposed list may be a list excluding these user categories or a list including these user categories. Regarding the load threshold used in the grid load monitoring results, technicians in this field can set it based on the rated load, service life, current good condition of the grid equipment, etc. For example, for the main transformer, since the number of users affected after its failure is large, the load threshold can be selected between 60% and 100% of the rated load. For the transmission line, compared with the main transformer, the number of users affected after its failure is small, and the load threshold can be selected between 70% and 100% of the rated load. For the substation transformer, since the number of users affected after its failure is the least, the load threshold can be selected between 80% and 100% of the rated load; the duration is the load duration greater than the set load threshold. This factor is set in the factors for determining the execution of flexible control of electric heating load, with the purpose of judging whether to execute flexible load control under the condition of stable operation of the grid; similarly, regarding the duration, considering the impact of faults at different grid levels on the scope of power outage, the duration of the main transformer can be set to be slightly shorter, so as to achieve the desired effect from the perspective of load control. Reduce the failure rate of the main transformer, followed by the transmission line. The duration can be set to be the same as or slightly longer than that of the main transformer, such as 60 minutes for both. Followed by the substation transformer, the duration can be set to be the same as or slightly longer than that of the transmission line, such as 60 minutes for the transmission line and 120 minutes for the substation transformer. Taking into account the rated load, service life, and current good condition of the power grid equipment, the optimal application is to set the load threshold and duration to adjustable values ​​during the execution of the control method, so as to manually set the dynamic load threshold and duration for the corresponding system through human-computer interaction. For the preset power-off time, the system can set the time by itself according to the specific outdoor temperature or manually assign the time. For example, when the outdoor temperature is below minus 30°, the preset power-off time is 15 minutes, when the outdoor temperature is below minus 15°, the preset power-off time is 20 minutes, and when the outdoor temperature is below 0°, the preset power-off time is 30 minutes.

[0062] Embodiment 2:

[0063] This embodiment is further refined on the basis of embodiment 1:

[0064] The grid load monitoring is implemented based on TTU, and the power monitoring of each electric heating device and the power on and off of each electric heating device are implemented based on the Internet of Things type circuit breaker connected to each electric heating device;

[0065] The method for obtaining the power history curve is as follows: the IoT circuit breaker uploads the power collection results at multiple times to the TTU, and the TTU obtains the power history curve according to the power collection results, or the TTU uploads the power collection results to the upper-level data processing device, and the upper-level data processing device obtains the power history curve according to the power collection results;

[0066] In the process of controlling the operating status of the electric heating equipment, the power supply to the electric heating equipment is cut off by executing remote control instructions through the Internet of Things type circuit breaker. While continuing to implement flexible control of the electric heating load, the power supply to the electric heating equipment is restored by executing remote control instructions through the Internet of Things type circuit breaker.

[0067] In this solution, the TTU is the distribution transformer monitoring terminal (also called the distribution monitoring terminal). For example, for the main transformer, TTU is the distribution main transformer monitoring terminal, for the substation transformer, TTU is the distribution substation transformer monitoring terminal, and for the transmission line, TTU is the distribution transmission line monitoring terminal. According to the different TTU data collection methods, TTU can be used to directly collect data by connecting to the existing current and voltage transformer terminal blocks, or TTU can be used to obtain relevant voltage, current, power and other data through the cascade port of the concentrator via RS485. As mentioned above, the use of IoT circuit breakers is a timely, convenient and accurate data collection method. Correspondingly, for power on and off control, IoT circuit breakers can perform power on and off control locally according to remote instructions, and have the characteristics of automatic execution of on and off, and fast execution of on and off. At the same time, this solution uses the characteristics of TTU with certain computing power, and uses TTU as an edge computing device in the power system. In the process of obtaining the power history curve, the power collection results of the IoT circuit breaker are collected, and the power history curve is obtained according to the results, or the power collection results are summarized and uploaded to the upper data processing equipment to obtain the power history curve, so as to share the computing pressure of the upper data processing equipment. Taking the substation transformer as the control unit as an example, a specific application is that TTU collects the voltage and current on the substation side through RS485 or direct acquisition, and judges the heavy overload of the substation transformer; collects the voltage, current, power and other data of the user electric heating equipment where the IoT circuit breaker is located through HPLC or long wireless LoRA dual-mode, and controls the opening and closing of the IoT circuit breaker; for the power grid management department, TTU forwards the substation data, electric heating user data and load flexible control judgment results collected by the business APP through the APN channel to the provincial front-end, uploads it to the property management platform, and then displays it at the provincial distribution self-IV district master station.

[0068] Embodiment 3:

[0069] This embodiment is further refined on the basis of embodiment 1:

[0070] The method for judging whether each electric heating device is currently operating at a constant temperature power is as follows: judging whether the current power of the electric heating device is in the stable waveform segment of the power history curve according to the waveform characteristics of the power history curve, and judging whether there is a descending waveform segment before the stable waveform segment;

[0071] When it is determined that the current power is in the stable waveform segment of the power history curve, there is a declining waveform segment before the stable waveform segment, and the stable waveform segment and the declining waveform segment both have a time span longer than a preset time length, it is determined that the electric heating equipment is currently operating under constant temperature power.

[0072] As described above, this scheme is based on the characteristic that different indoor temperature change stages can be fed back through the power history curve of the electric heating equipment during the use of the electric heating equipment by the electric heating users. The waveform characteristics of different stages in the power history curve are used to screen out the indoor constant temperature users in the proposed list and confirm these users as the priority power-off users in the flexible management and control strategy. The above descending waveform segment and stable waveform segment are the waveform characteristics of the indoor transition from the heating stage to the constant temperature stage during the electric heating process. The preset time length is the factor for determining the corresponding waveform segment, which aims to avoid misjudgment or reduce the probability of misjudgment. In specific applications, since different electric heating equipment has different electric heating usage environments, different electric heating equipment has personalized power history curves. For load flexible control, the power history curve can be a curve of power changes over time up to the current moment, which is only used to reflect the recent working conditions of the electric heating equipment. In order to further ensure and avoid misjudgment or reduce the probability, the preset duration can be personalized according to the historical usage data of each electric heating equipment. For example, with the advantage of machine self-learning in processing large-scale data sets, after collecting the historical usage of each electric heating equipment, a specific preset duration is determined to characterize that the electric heating equipment is in a constant temperature power operation stage to ensure the current indoor temperature at the current moment. Technical personnel in this field can also manually assign values ​​to the preset duration based on experience and data statistical results.

[0073] After determining the electric heating equipment currently operating at a constant temperature and power, predict the impact on the grid load after power is cut off for these electric heating equipment. When it is predicted that only some of the electric heating equipment operating at a constant temperature and power need to be cut off, sort the electric heating equipment operating at a constant temperature and power according to the current power size, and determine that the electric heating equipment with a larger current power has a higher power-off priority. When performing the power-off operation, the electric heating equipment operating at a certain constant temperature and power is cut off in order according to the priority.

[0074] When it is predicted that it is necessary to power off the electric heating equipment operating at all constant temperature power, and it is necessary to power off other electric heating equipment in the proposed list, the other electric heating equipment in the proposed list are sorted according to the change in current power compared to the maximum power through the power history curve, and it is determined that the electric heating equipment with a larger current power change has a higher power-off priority. When the power-off operation is performed, the electric heating equipment operating at all constant temperature power is powered off, and the other electric heating equipment in the proposed list is powered off in order of priority.

[0075] The above scheme is: when the need for flexible load control can be met by powering off only some of the electric heating equipment operating at constant temperature power, the electric heating equipment with higher current power will be set to a higher power-off priority, so as to utilize the fact that electric heating equipment with higher power generally has a larger electric heating space, and these spaces have stronger resistance to temperature reduction than smaller spaces after the electric heating effect is lost, thereby reducing the intensity of temperature change perception brought to users after the electric heating equipment is powered off, and reducing the impact of flexible load control on users' electricity consumption experience; when other electric heating equipment still needs to be powered off after all electric heating equipment operating at constant temperature power is powered off to meet the need for flexible load control, the other electric heating equipment to be powered off is determined by analyzing the power history curve and prioritizing them according to the current power change amplitude, aiming to screen out electric heating equipment whose current power is closer to the constant temperature power condition from these electric heating equipment, and prioritize these electric heating equipment for power off, which is also aimed at reducing users' perception of temperature changes after power off and improving the power supply quality of the power grid.

[0076] During the flexible control of electric heating load, the changes in grid load are monitored. When the increase in grid load exceeds the set range, the number of power outages for electric heating equipment is increased according to the power outage priority ranking in the proposed list.

[0077] We continuously monitor changes in grid load to determine whether the current flexible control strategy is effective based on the electric heating electricity consumption that may change at any time. When the control target is not achieved, the flexible control effect is enhanced by further increasing the number of disconnected electric heating equipment.

[0078] Embodiment 4:

[0079] This embodiment is further refined on the basis of embodiment 1:

[0080] The transformer includes a main transformer and a substation transformer. The distribution transformer side of the main transformer is connected to multiple substation transformers through a transmission line, and each substation transformer is connected to multiple electric heating equipment;

[0081] When the load monitoring result of the main transformer is to perform flexible control of electric heating load, the flexible control object of electric heating load is determined according to the load of the transmission line on its distribution transformer side and the load of the substation transformer, and the object includes the overloaded transmission line and / or substation transformer, and all electric heating equipment connected to the flexible control object of electric heating load is included in the flexible load control, and a proposed list is determined from these electric heating equipment according to the load category, and the load category is different user categories divided according to the functional area of ​​the electric heating area;

[0082] When the load monitoring result of the transmission line is to perform flexible control of electric heating load, the flexible control object of electric heating load is determined according to the load of the substation transformer on its distribution transformer side, and the object includes the overloaded substation transformer. All electric heating equipment connected to the flexible control object of electric heating load is included in the flexible load control, and a proposed list is determined from these electric heating equipment according to the load category, and the load category is different user categories divided according to the functional area of ​​the electric heating area;

[0083] When the load monitoring result of the substation transformer is to implement flexible control of electric heating load, all electric heating equipment connected to the substation transformer will be included in the flexible load control, and a proposed list will be determined from these electric heating equipment according to the load category, which is different user categories divided according to the functional areas of the electric heating areas.

[0084] In the prior art, from the power generation side to the user side, it can be set to include: main transformer, transmission line, substation transformer, transmission line, electric heating equipment. Therefore, the main transformer is the transformer equipment on the power generation side of the substation transformer. The distribution transformer side of the main transformer generally has multiple substation transformers. The substation transformer is responsible for supplying power to the substation after voltage reduction. In terms of the number of electric heating equipment or users included, the relevant order is from small to large according to the number of included numbers: substation transformer, transmission line (transmission line may be connected to multiple substation transformers), main transformer. At the same time, as introduced above, the number of users covered by the substation transformer, main transformer and the transmission line between the two transformers is different. Considering the impact range of power outage after the fault, the better application is to set different load thresholds and durations for different power grid load monitoring objects when determining whether to perform flexible control of electric heating load. Based on this concept, the above provides a technical solution for applying load monitoring results of different levels of the power grid to flexible control and judgment, so as to achieve the purpose of orderly power use and safe power use to a greater extent. It is easy to understand that the coverage area of ​​the main transformer includes the coverage areas of all substation transformers connected to it through transmission lines. The coverage area of ​​the transmission line may involve only the coverage area of ​​a single substation transformer, or it may involve the coverage areas of multiple substation transformers. Therefore, when the flexible control is determined by the main transformer load, the control object is determined first, and then the proposed list is determined from the electric heating equipment under the control object, and then the specific controlled electric heating equipment is determined. Similarly, for transmission lines, since they may cover multiple substations, the substation object is determined first, and then the electric heating equipment in the specific substation is controlled. Similarly, for substation transformers, since they are directly connected to user loads, the electric heating equipment in the substation is directly controlled. The above scheme proposes load categories. For example, according to the functional division of electric heating areas, for all electric heating equipment in the scenic area, the load categories can be confirmed as four categories including hospitals, schools, ordinary users and 24-hour duty rooms. The proposed list can be just a list of ordinary users, or a list including users of other load categories, but hospitals, schools, and 24-hour duty room users are set as users with lower power outage priority in the proposed list. In the above scheme, the grid load monitoring results are used to trigger flexible control. When determining the flexible control object, in addition to judging the object based on whether it is overloaded, the object can also be determined based on the load. For example, the substation transformer and / or transmission line with a larger load rate can be used as the object.

[0085] In the process of executing flexible control of electric heating load according to the transformer load monitoring results of the substation, if it is determined that it is necessary to execute flexible control of electric heating load according to the transmission line load monitoring results, the flexible control of electric heating load determined according to the transformer load monitoring results of the substation is stopped, and the flexible control of electric heating load determined according to the transmission line load monitoring results is executed;

[0086] In the process of executing flexible control of electric heating load according to the transmission line load monitoring results, if it is determined that flexible control of electric heating load needs to be executed according to the main transformer load monitoring results, the flexible control of electric heating load determined according to the transmission line load monitoring results is stopped, and the flexible control of electric heating load determined according to the main transformer load monitoring results is executed.

[0087] If substation transformers, transmission lines, and main transformers are defined as control units for flexible load control, the above scheme provides a technical solution for reducing the failure of upper-level power grid equipment as much as possible when necessary by giving priority to load flexible control of upper-level control units according to the levels of different control units in the power grid when executing load flexible control. A better application is to take the load rate into consideration when determining the object, that is, the object includes substation transformers and transmission lines with a high load rate or exceeding the set load rate, and compared with the load flexible control of the next-level control unit, the scope / substation participating in load flexible control is increased.

[0088] The ways to distinguish user categories are:

[0089] Establishing a user portrait tag based on the historical electricity consumption records of each electric heating device, wherein the historical electricity consumption records include multiple 24-hour electricity consumption history curves;

[0090] The method for establishing user portrait marking is: obtaining the 24-hour user electricity usage pattern through the 24-hour electricity usage history curve, the electricity usage pattern including the electricity power consumption in different time periods or the continuous electricity usage duration of each electricity power consumption, and judging whether the user has the same electricity usage pattern on different dates according to multiple 24-hour electricity usage history curves; when they have the same electricity usage pattern and the difference in electricity power consumption in different time periods of 24 hours is less than the preset power variation range, these users are confirmed as special users and excluded from the proposed list, or, these users are planned in the proposed list and marked as having a lower power outage priority.

[0091] The above scheme provides a specific way to distinguish user categories, specifically: according to the electricity consumption history records recorded in days, the user's electricity consumption characteristics are confirmed according to the actual electricity consumption rules. When multiple days have the same electricity consumption rules and the power fluctuations throughout the day are small, it can be considered that such an electric heating environment is a hospital environment or a 24-hour duty room environment. It is advisable to try to ensure electric heating for these users. For the school environment, there is no small difference in power consumption characteristics in different periods of 24 hours. The specific basis for judgment is to identify whether there is an obvious high power consumption rule during the class time period in the 24-hour electricity consumption history curve. If so, it is determined that the user category is a school user, and it is advisable to try to ensure electric heating for these users. The user category distinction based on the 24-hour electricity consumption history curve is derived from power data. In summary, it can be concluded that this method has the characteristics of timely, convenient and accurate corresponding data collection. In addition, user categories can also be distinguished based on user reports, but this method is difficult to eliminate interference from human factors.

[0092] Embodiment 5:

[0093] This embodiment is further refined on the basis of embodiment 1:

[0094] When power is restored to electric heating equipment that has been cut off, the impact of power restoration on the grid load is predicted based on the power history curve of the electric heating equipment to be restored. When the impact is that the grid load after power is restored is greater than the set load threshold, the electric heating equipment that has been cut off is added according to the power outage priority ranking.

[0095] The above solution provides a method of taking into account the impact of the electric heating equipment that is about to be restored on the grid load when restoring power to the electric heating equipment that has been cut off, and adopts a priority round-robin power consumption method to add additional disconnected electric heating equipment to offset the impact of this part of the electric heating equipment on the grid load, thereby solving the problem that the grid load monitoring results cannot include this part of the electricity demand.

[0096] Embodiment 6:

[0097] This embodiment provides a specific application embodiment based on the embodiment 1. This embodiment is applied to the flexible control deployment of load in the substation area. Specifically, for the deployment on the substation side:

[0098] On the substation side, TTU is deployed on the distribution transformer substation side to collect data such as voltage, current, power, etc. in the substation and to collect, monitor and analyze the voltage, current and power of the IoT type circuit breaker data. The collected data of the IoT type circuit breaker dedicated to the user's electric heating process is collected through TTU, and these collected data are uploaded to the distribution automation master station in the fourth district. With the low-voltage distribution substation as the center, the electric heating of the users in the substation area together constitutes a heating control load pool. According to the strategy control, on the basis of reliable heating, the distribution substation, distribution line and distribution network system are guaranteed to operate reliably through orderly electricity consumption and energy efficiency control measures.

[0099] For user-side deployment, IoT circuit breakers dedicated to electric heating equipment are installed in the user's low-voltage branch box. These circuit breakers can firstly realize user load data metering and collect voltage, current, leakage current, power data, etc. to support load regulation; secondly, they can realize remote opening and closing functions and execute control strategies.

[0100] About data link:

[0101] Downward: TTU collects the voltage and current of the substation side in minutes through RS485 or direct acquisition, and determines the heavy overload situation; collects the voltage, current, power and other data of the user where the circuit breaker is located through HPLC or long wireless LoRA dual-mode mode, and controls the opening and closing of the circuit breaker;

[0102] Upward: TTU forwards the area data, electric heating user data and analysis results collected by the business APP through the APN channel to the provincial front-end, uploads it to the property management platform, and then displays it at the provincial distribution center IV zone main station.

[0103] Regarding the system construction to implement this method, it can be set as:

[0104] like Figure 2 As shown, taking the main transformer as the control unit as an example, the following specific control strategies are provided:

[0105] When the load of the main transformer is abnormal, first list the information of all the feeders (transmission lines) under the main transformer, obtain the overload situation of the main transformer and the load that needs to be adjusted, process the overloaded feeder part, and check whether the main transformer still has load abnormality after processing. If there is still an abnormality, calculate the overload load again, and then according to the previous orderly power consumption analysis, perform round-robin regulation and control to reduce the load of each feeder until the requirements are met.

[0106] like Figure 3 As shown, taking the feeder (transmission line) as the control unit as an example, the following specific control strategies are provided:

[0107] When a single feeder has an abnormality, first list the load information and power status of each transformer (substation transformer) under the feeder, obtain the current priority adjustment substation and the users who need to be powered off first in the substation, calculate the power removed during the process, record the cumulative power reduction, and see if it meets the standard. If it does, the control is terminated. If it does not, continue the round-robin control until it meets the standard.

[0108] The above contents are further detailed descriptions of the present invention in combination with specific preferred embodiments, and it cannot be determined that the specific embodiments of the present invention are limited to these descriptions. For ordinary technicians in the technical field to which the present invention belongs, other embodiments obtained without departing from the technical solution of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for flexible control of electric heating load, which formulates an electric heating equipment control strategy based on the power grid load monitoring results and the power monitoring results of multiple electric heating equipment connected to the power grid, and controls the operating state of the electric heating equipment according to the control strategy, characterized in that: The grid load includes at least one of a transformer load and a transmission line load; When the grid load monitoring result shows that the load is greater than the set load threshold and the duration is greater than the set time threshold, it is determined to perform flexible control of electric heating load, and the power history curve of each electric heating equipment in the proposed list is collected. According to the power history curve of each electric heating equipment, it is determined whether each electric heating equipment is currently operating under constant temperature power. For the electric heating equipment that is determined to be currently operating under constant temperature power, the control strategy is formulated as follows: the electric heating equipment operating under constant temperature power is determined as the electric heating equipment to be powered off first; the constant temperature power refers to the power of the electric heating equipment working under the condition of maintaining the current indoor temperature; The method for controlling the operating status of electric heating equipment according to the control strategy is: power off some or all of the electric heating equipment that are determined to be prioritized, record the power off time of each electric heating equipment, and when the power off time reaches the preset power off time threshold, re-judge whether to continue to implement the flexible control of the electric heating load. When continuing to implement the flexible control of the electric heating load, the electric heating equipment that was powered off during the last flexible control of the electric heating load is excluded from the proposed list.

2. The method for flexible control of electric heating load according to claim 1, characterized in that: The grid load monitoring is implemented based on TTU, and the power monitoring of each electric heating device and the power on and off of each electric heating device are implemented based on the Internet of Things type circuit breaker connected to each electric heating device; The method for obtaining the power history curve is as follows: the IoT circuit breaker uploads the power collection results at multiple times to the TTU, and the TTU obtains the power history curve according to the power collection results, or the TTU uploads the power collection results to the upper-level data processing device, and the upper-level data processing device obtains the power history curve according to the power collection results; In the process of controlling the operating status of the electric heating equipment, the power supply to the electric heating equipment is cut off by executing remote control instructions through the Internet of Things type circuit breaker. While continuing to implement flexible control of the electric heating load, the power supply to the electric heating equipment is restored by executing remote control instructions through the Internet of Things type circuit breaker.

3. The method for flexible control of electric heating load according to claim 1, characterized in that: The method for judging whether each electric heating device is currently operating at a constant temperature power is as follows: judging whether the current power of the electric heating device is in the stable waveform segment of the power history curve according to the waveform characteristics of the power history curve, and judging whether there is a descending waveform segment before the stable waveform segment; When it is determined that the current power is in the stable waveform segment of the power history curve, there is a declining waveform segment before the stable waveform segment, and the stable waveform segment and the declining waveform segment both have a time span longer than a preset time length, it is determined that the electric heating equipment is currently operating under constant temperature power.

4. The method for flexible control of electric heating load according to claim 3, characterized in that: After determining the electric heating equipment currently operating at a constant temperature and power, predict the impact on the grid load after power is cut off for these electric heating equipment. When it is predicted that only some of the electric heating equipment operating at a constant temperature and power need to be cut off, sort the electric heating equipment operating at a constant temperature and power according to the current power size, and determine that the electric heating equipment with a larger current power has a higher power-off priority. When performing the power-off operation, the electric heating equipment operating at a certain constant temperature and power is cut off in order according to the priority. When it is predicted that it is necessary to power off the electric heating equipment operating at all constant temperature power, and it is necessary to power off other electric heating equipment in the proposed list, the other electric heating equipment in the proposed list are sorted according to the change in current power compared to the maximum power through the power history curve, and it is determined that the electric heating equipment with a larger current power change has a higher power-off priority. When the power-off operation is performed, the electric heating equipment operating at all constant temperature power is powered off, and the other electric heating equipment in the proposed list is powered off in order of priority.

5. The method for flexible control of electric heating load according to claim 4, characterized in that: During the flexible control of electric heating load, the changes in grid load are monitored. When the increase in grid load exceeds the set range, the number of power outages for electric heating equipment is increased according to the power outage priority ranking in the proposed list.

6. The method for flexible control of electric heating load according to claim 1, characterized in that: The transformer includes a main transformer and a substation transformer. The distribution transformer side of the main transformer is connected to multiple substation transformers through a transmission line, and each substation transformer is connected to multiple electric heating equipment; When the load monitoring result of the main transformer is to perform flexible control of electric heating load, the flexible control object of electric heating load is determined according to the load of the transmission line on its distribution transformer side and the load of the substation transformer, and the object includes the overloaded transmission line and / or substation transformer, and all electric heating equipment connected to the flexible control object of electric heating load is included in the flexible load control, and a proposed list is determined from these electric heating equipment according to the load category, and the load category is different user categories divided according to the functional area of ​​the electric heating area; When the load monitoring result of the transmission line is to perform flexible control of electric heating load, the flexible control object of electric heating load is determined according to the load of the substation transformer on its distribution transformer side, and the object includes the overloaded substation transformer. All electric heating equipment connected to the flexible control object of electric heating load is included in the flexible load control, and a proposed list is determined from these electric heating equipment according to the load category, and the load category is different user categories divided according to the functional area of ​​the electric heating area; When the load monitoring result of the substation transformer is to implement flexible control of electric heating load, all electric heating equipment connected to the substation transformer will be included in the flexible load control, and a proposed list will be determined from these electric heating equipment according to the load category, which is different user categories divided according to the functional areas of the electric heating areas.

7. The method for flexible control of electric heating load according to claim 6, characterized in that: In the process of executing flexible control of electric heating load according to the transformer load monitoring results of the substation, if it is determined that it is necessary to execute flexible control of electric heating load according to the transmission line load monitoring results, the flexible control of electric heating load determined according to the transformer load monitoring results of the substation is stopped, and the flexible control of electric heating load determined according to the transmission line load monitoring results is executed; In the process of executing flexible control of electric heating load according to the transmission line load monitoring results, if it is determined that flexible control of electric heating load needs to be executed according to the main transformer load monitoring results, the flexible control of electric heating load determined according to the transmission line load monitoring results is stopped, and the flexible control of electric heating load determined according to the main transformer load monitoring results is executed.

8. The method for flexible control of electric heating load according to claim 6, characterized in that: The ways to distinguish user categories are: Establishing a user portrait tag based on the historical electricity consumption records of each electric heating device, wherein the historical electricity consumption records include multiple 24-hour electricity consumption history curves; The method for establishing user portrait marking is: obtaining the 24-hour user electricity usage pattern through the 24-hour electricity usage history curve, the electricity usage pattern including the electricity power consumption in different time periods or the continuous electricity usage duration of each electricity power consumption, and judging whether the user has the same electricity usage pattern on different dates according to multiple 24-hour electricity usage history curves; when they have the same electricity usage pattern and the difference in electricity power consumption in different time periods of 24 hours is less than the preset power variation range, these users are confirmed as special users and excluded from the proposed list, or, these users are planned in the proposed list and marked as having a lower power outage priority.

9. A method for flexible control of electric heating load according to any one of claims 1 to 8, characterized in that: When power is restored to electric heating equipment that has been cut off, the impact of power restoration on the grid load is predicted based on the power history curve of the electric heating equipment to be restored. When the impact is that the grid load after power is restored is greater than the set load threshold, the electric heating equipment that has been cut off is added according to the power outage priority ranking.

10. A flexible control system for electric heating load, comprising a data storage module having a computer program executable by a computer, a data acquisition module and a processor module, characterized in that: The computer program is used to execute the method according to any one of claims 1 to 9; The data acquisition module is used to obtain the power grid load monitoring result and the power history curve; The processor module is used to run the computer program.

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