Load sensing control system based on concentrator

Abstract

The invention belongs to the field of electrical load regulation, and particularly relates to a load sensing control system based on a concentrator. The system comprises load management software arranged at a concentrator end and a load sensing control module corresponding to an Internet of Things table; the load management software is also used for issuing an instruction containing an extended address corresponding to the load sensing control module, and the issued instruction comprises a user load control instruction; the internet of things table is used for receiving a user load control instruction sent by load management software and identifying an extended address corresponding to a load sensing control module in the user load control instruction so as to forward the user load control instruction to the load sensing control module; and the internet of things table is used for correspondingly inputting and releasing corresponding users during switching-on and switching-off. A circuit breaker of the load; the load sensing control module is also used for receiving a user load control instruction and controlling a corresponding circuit breaker to act according to the user load control instruction; the hardware is convenient to install; and an Internet of Things meter and a control module are adopted, so that the system can be suitable for various required environments.

Description

Technical Field

[0001] The present invention belongs to the field of power load regulation, and in particular relates to a load sensing control system based on a concentrator. Background Art

[0002] As people's living standards continue to improve, electricity load continues to increase. The continuous increase in electricity load causes the transformer to be in a heavy-load state for a long time. Being in a heavy-load state for a long time may lead to reduced transformer efficiency, accelerated transformer aging and shorten its service life. Therefore, it is particularly important to perceive, control and intelligently adjust the electricity load.

[0003] The load management system plays an important role in realizing intelligent regulation of power load. The solutions currently adopted include the "smart energy unit + IoT terminal + external flexible control module + flexible control terminal" mode. In this mode, the collection channel and the load management channel are independent, the overall collection and fee control function is not affected, and the timeliness and reliability of communication are high, but more equipment needs to be added, and the installation and implementation are difficult; another solution adopts the "energy controller + smart thermostat + external circuit breaker" mode. This mode adopts two-level deployment of load monitoring, energy analysis and flexible control. Specifically, the smart thermostat is used to collect the electric heating temperature, and it can communicate with the electric heater control board to adjust the heater temperature. However, compared with the concentrator, the energy controller lacks loop status inspection and power control functions, so it is only suitable for special transformer substations, and the application scenarios are narrow, and it is difficult to apply to various different demand scenarios. Summary of the invention

[0004] The purpose of the present invention is to provide a load sensing control system based on a concentrator to solve the problem that the existing load management system is difficult to simultaneously meet the requirements of low construction difficulty and adaptability to multiple application scenarios.

[0005] To achieve the above object, the present invention provides a load sensing control system based on a concentrator, comprising load management software for being arranged at the concentrator end and a load sensing control module arranged corresponding to the IoT table; the load management software is also used to issue instructions containing an extended address corresponding to the load sensing control module, wherein the instructions include user load control instructions; The system also includes an Internet of Things table for receiving user load control instructions sent by load management software and identifying the extended address corresponding to the load sensing control module in the user load control instructions to forward the user load control instructions to the load sensing control module, and a circuit breaker for correspondingly switching on and off the corresponding user load when opening and closing; the load sensing control module is also used to receive and control the corresponding circuit breaker to open or close according to the user load control instructions.

[0006] Furthermore, it also includes a relay corresponding to the load sensing control module itself; the circuit breaker is also used to open or close accordingly according to the opening and closing signal of the relay corresponding to the load sensing control module itself; the load sensing control module controls the corresponding circuit breaker to open or close according to the user load control instruction, including: the load sensing control module controls the opening and closing of the corresponding relay according to the user load control instruction to control the corresponding circuit breaker to open or close accordingly.

[0007] Furthermore, the instructions also include user data collection instructions; the IoT table is also used to receive user data collection instructions sent by the load management software and identify the extended address corresponding to the load sensing control module in the user data collection instructions to forward the user data collection instructions to the load sensing control module; the load sensing control module is also used to receive and obtain corresponding user data according to the user data collection instructions and forward it to the IoT table; the IoT table is also used to forward the received user data forwarded by the load sensing control module to the load management software; the load management software sends instructions containing the extended address corresponding to the load sensing control module through the power line carrier channel of the concentrator.

[0008] Furthermore, the user data includes settings for whether the user starts load control; the load management software is also used to determine whether the user starts load control based on the settings for whether the user starts load control; if it is determined that the user has started load control, the load control strategy is executed for the user, otherwise the load control strategy is not executed for the user.

[0009] Furthermore, the methods of implementing the load control strategy on the user include: It is determined based on the user data whether the user meets the conditions for load control. If yes, a corresponding user load control instruction is issued to control the user load of the user; otherwise, it is continued to determine whether the user meets the conditions for load control.

[0010] Furthermore, the user data also includes the setting of whether the user is in a power conservation state and the total load of the substation corresponding to the user; The method of judging whether the user meets the conditions for load control based on the user data of the user includes: if the user is not in a power conservation state and it is determined that the total load of the substation corresponding to the user meets the condition corresponding to the set upper limit threshold, then it is determined that the user meets the conditions for load control; otherwise, it is determined that the conditions are not met.

[0011] Furthermore, the method for determining whether the total load of the substation corresponding to the user satisfies the condition corresponding to the set upper limit threshold includes: if the time length for which the total load of the substation corresponding to the user exceeds the set upper limit threshold is greater than the set time length threshold, then it is determined that the total load of the substation corresponding to the user satisfies the condition corresponding to the set upper limit threshold.

[0012] Furthermore, the method of executing the load control strategy on the user also includes: if the duration of controlling the user load of a certain user reaches the set power restriction duration, a corresponding user load control instruction is issued to cancel the control of the user load of the user.

[0013] Furthermore, the method of executing the load control strategy on the user also includes: if a power protection input command is received during the control of the user load of a certain user, a corresponding user load control instruction is issued to cancel the control of the user load of the user.

[0014] Furthermore, the method of determining the user load control instruction includes: The load management software determines the user load capacity that needs to be load controlled according to the amount that the total load of the substation corresponding to the user exceeds the set upper limit threshold, determines the control round according to the user load capacity that needs to be load controlled, and selects the user who performs load control according to the load regulation priority, and determines the corresponding user load control instructions according to the determined control round and the selected user who performs load control; if there are users who did not perform load control in the previous control round, the users who did not perform load control are given priority as users who perform load control in this control round; the load regulation priority is determined according to the user loads of all users who have started load control in the substation collected in real time, and sorted by capacity from large to small.

[0015] The above technical solution of the present invention provides a new load-aware control system based on a concentrator, and its beneficial effects include: being able to send a control instruction with an extended address to the IoT meter through the load management software set at the concentrator end, and then the IoT meter forwards the control instruction to the load-aware control module according to the extended address, and finally the load-aware control module receives the control instruction and controls the circuit breaker to open or close accordingly, so as to put the user load into or release the user load to realize load-aware control; that is, the load-aware control is realized by adopting the mode of "concentrator-end load management software + intelligent IoT electric energy meter + load-aware control extension module + external circuit breaker", and in terms of hardware configuration, only the existing concentrator needs to be added. On the basis of the meter management architecture of the IoT meter, a circuit breaker and a load sensing control module as an extension module of the IoT meter are added, and the installation and implementation are relatively simple and convenient; moreover, compared with the existing meter management architecture, the load sensing control module and the load management software on the concentrator end added to this solution are respectively corresponding extensions made according to needs on the basis of adapting to the functional expansion methods of the existing IoT meter modules and concentrators. Therefore, for different demand scenarios, it is only necessary to make corresponding changes on the basis of the load sensing control module and the load management software on the concentrator end. This not only ensures that the load sensing control system can adapt to a variety of demand scenarios, but also reduces the research and development and transformation costs, thereby reducing the difficulty of implementation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a schematic diagram of the architecture of a load sensing control system based on a concentrator in an embodiment of a load sensing control system based on a concentrator of the present invention; Figure 2 It is a schematic diagram of the installation principle of a load sensing control module based on a concentrator on an IoT meter in an embodiment of a load sensing control system based on a concentrator of the present invention; Figure 3 It is a flow chart of the power load control of the public transformer area by the load management software in the embodiment of the load sensing control system based on the concentrator of the present invention; Figure 4 A block diagram of the operation timing of a load sensing control module corresponding to the IoT table in a load sensing control system architecture based on a concentrator in an embodiment of the load sensing control system based on a concentrator of the present invention; Figure 5 It is an example diagram of the overall process of user load control in an embodiment of a concentrator-based load sensing control system of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0018] Concentrator-based load sensing control system implementation example This embodiment provides a technical solution for a load-aware control system based on a concentrator, which is mainly used for internal load management on the user side in a public transformer scenario. Through this system, it is possible to collect and upload power consumption information of the public transformer area, manage interruptible loads on the user side, monitor load data in real time, and control external circuit breakers (i.e., user load control). The load management software used to issue instructions containing the extended address corresponding to the load sensing control module is deployed on the concentrator side, which can make full use of the performance of the existing concentrator (such as the currently commonly used State Grid 22 standard concentrator), and well meet the State Grid's "one station, one terminal" requirement. In terms of control process, it has the advantage of on-site local deployment, and can be completely separated from the main station to complete the load collection, load management and precise control of the station area; at the same time, the load sensing control module can also expand the on-site application scenarios of the IoT meter, and can realize functions such as real-time perception of the operating capacity of electric heating users, analysis of user over-capacity electricity consumption, analysis of electricity consumption status, and precise control of user load after receiving control commands, so as to meet the needs of executing load sensing control strategies; in terms of hardware configuration, only the load sensing control module and circuit breaker are added, which is easy to install and implement; the user load data collection method remains unchanged, and the broadband power line carrier (HPLC) channel is used to implement the load management APP control command to be sent to the load sensing control module; the IoT meter + control module solution is adopted, with low R&D and transformation costs. If there is subsequent function expansion, it can be modified on the basis of the existing product. The method of small-part transformation can be applied to a variety of on-site environments to achieve precise load regulation.

[0019] Reference Figure 1 The load sensing control system includes a device for setting a load sensing control system in a concentrator (i.e. Figure 1 The load management software on the "22 standard concentrator") side (i.e. Figure 1 The "load management APP" in the IoT table can be called "edge") and the load sensing control module corresponding to the IoT table (i.e. Figure 1 The "load module" in the load management software can be called the "end"; the connection methods between the load management APP and the load module, including power carrier communication and RS485 communication, are collectively referred to as the "tube", but in actual control, only carrier communication is basically used); the load management software is also used to issue instructions containing the extended address corresponding to the load sensing control module, and the issued instructions include user load control instructions; the load sensing control system also includes an Internet of Things table for receiving user load control instructions sent by the load management software and identifying the extended address corresponding to the load sensing control module in the user load control instructions to forward the user load control instructions to the load sensing control module, and for correspondingly putting into and releasing the corresponding user load when opening and closing (i.e. Figure 1The load sensing control module is also used to receive and control the corresponding circuit breaker to open or close according to the user's load control instructions. Among them, the load sensing control module is an extension module of the single / three-phase IoT meter. Its installation principle is as follows: Figure 2 shown.

[0020] It can be seen that the load-sensing control system of this embodiment can send control instructions with extended addresses to the IoT meter through the load management software on the concentrator side, and then the IoT meter forwards the control instructions to the load-sensing control module according to the extended address, and finally the load-sensing control module receives the control instructions and controls the circuit breaker to open or close accordingly, so as to put the user load into or release the user load to realize load-sensing control; that is, the load-sensing control is realized by adopting the mode of "concentrator-side load management software + intelligent IoT electric energy meter + load-sensing control extension module + external circuit breaker", so in terms of hardware configuration, it is only necessary to add the existing concentrator and IoT meter management architecture to the load management module. On the basis of adding a circuit breaker and a load sensing control module as an extension module of the Internet of Things meter, the installation and implementation are relatively simple and convenient; moreover, compared with the existing meter management architecture, the load sensing control module and the load management software on the concentrator end added in this solution are respectively corresponding extensions based on the needs on the basis of adapting to the existing Internet of Things meter module and the functional expansion method of the concentrator. Therefore, for different demand scenarios, it is only necessary to make corresponding changes on the basis of the load sensing control module and the load management software on the concentrator end. This not only ensures that the load sensing control system can adapt to a variety of demand scenarios, but also reduces the research and development and transformation costs, thereby reducing the difficulty of implementation.

[0021] The concentrator end where the load management software in this embodiment is located is the State Grid 22 standard concentrator. In other embodiments, other concentrators that can support the development and normal operation of the load management software can also be used without affecting the working principle of the load management software. The load management software can be installed in the form of a load management APP, etc., which will not be repeated here; the State Grid 22 standard concentrator is a key edge computing device in the public transformer substation. It has the ability to read the Internet of Things meter and conventional single-phase three-phase meter under the public transformer substation, but does not have the control function. After installing the load management software on the concentrator, the concentrator can be connected to the service master station system upward to complete the control instruction reception and processing and electricity data monitoring functions; it can be connected to the load perception control module at the Internet of Things meter end to complete the data collection, control and detection of the opposite device, thereby realizing the load perception and control of the adjustable users in the entire public transformer substation.

[0022] In this embodiment, the instructions issued by the load management software also include user data collection instructions; the IoT table is also used to receive the user data collection instructions sent by the load management software and identify the extended address corresponding to the load sensing control module in the user data collection instructions to forward the user data collection instructions to the load sensing control module; the load sensing control module is also used to receive and obtain the corresponding user data according to the user data collection instructions and forward it to the IoT table; the IoT table is also used to forward the received user data forwarded by the load sensing control module to the load management software. In this way, the collection of user data can be realized through the load sensing control system, so that the user data can be used in various functional demand scenarios such as user load control, human-computer interaction, and real-time data upload.

[0023] The load management software sends instructions containing the extended address corresponding to the load sensing control module through the power line carrier channel of the concentrator. In this embodiment, after the load management software at the concentrator end receives the instruction with the extended address from the service master station system, it sends it to the IoT table through the broadband power line carrier channel. Specifically, the instruction is a data frame, and the power line carrier of the concentrator is a broadband power line carrier (i.e., HPLC); after receiving the instruction, the IoT table forwards it to the load sensing control module. After the load sensing control module receives the instruction, if the instruction is a user load control instruction, the corresponding circuit breaker is controlled to be turned on or off according to the user load control instruction (i.e., the circuit breaker is controlled to execute the pull-in and close state corresponding to the user load control instruction); if the instruction is a user data collection instruction, the corresponding user data is obtained according to the user data collection instruction and forwarded to the IoT table. In other embodiments, the load management software can be separated from the main station to complete the load collection, load management and precise control of the substation area, that is, the instruction with the extended address can also be generated and issued by the load management software itself to realize user data collection or user load control.

[0024] In this embodiment, for the electric heating system, the load management software may include the following functions: (1) Synchronize the collection of file information and identify user types. Read the relevant equipment file information (such as equipment address and user type; user types are divided into electric heating users and ordinary users) in the data center to perform subsequent operations based on the equipment file information; (2) Definition of user load cycles and orderly power consumption activation and deactivation, power supply activation / deactivation of substations, orderly power consumption activation / deactivation of users, substation overcapacity judgment and event generation, orderly power consumption control core algorithm, and user tripping control; (3) Transformer operation capacity monitoring, status statistics and management, with the function of area and phase load statistics, and can store and report the daily and monthly over-limit accumulated time and daily and monthly over-limit rate; (4) Users can interrupt load collection and control, monitor in real time to determine whether the load exceeds the limit, and realize dynamic load control function; (5) Event processing: judging, storing and reporting overcapacity events and power consumption control events to the main station.

[0025] (6) Human-computer interaction function: LCD APP displays interface buttons and real-time load; parameter setting query, event record, and version information display; can view the current total load of the distribution transformer and real-time load rate, interruptible load and proportion, and control status; can set transformer capacity, power supply protection in substations, and release of user-based control, etc.

[0026] In other embodiments, the load management software may also include other different functions, and the configuration may be changed according to actual functional requirements, which will not be described in detail here.

[0027] Specifically, the user data includes the setting of whether the user starts the load control; the load management software is also used to determine whether the user starts the load control according to the setting of whether the user starts the load control; if it is determined that the user has started the load control, the load control strategy is executed for the user, otherwise the load control strategy is not executed for the user. In this way, it can be ensured that only users who are willing or able to participate in the load control (that is, users who have started the load control) are subject to load control to avoid affecting other users; wherein, the method of executing the load control strategy on the user includes: judging whether the user meets the conditions for load control according to the user data of the user, and if so, issuing the corresponding user load control instruction to control the user load of the user; otherwise, continuing to judge whether the user meets the conditions for load control.

[0028] Since in this embodiment, the user data also includes the setting of whether the user is in the power-saving state and the total load of the substation corresponding to the user, the method of judging whether the user meets the conditions for load control according to the user data of the user includes: if the user is not in the power-saving state and it is determined that the total load of the substation corresponding to the user meets the condition corresponding to the set upper limit threshold, then it is judged that the user meets the conditions for load control; otherwise, it is judged that the user does not meet the conditions. In this way, the impact of load control on users in the power-saving state can be avoided as much as possible, and the load control strategy is executed when it is determined that the substation exceeds the limit and load control is required, thereby ensuring the reliability and timeliness of load control.

[0029] In order to avoid the situation where the total load of the substation is suddenly changed and is mistakenly judged as needing load control, the method for determining whether the total load of the substation corresponding to the user meets the condition corresponding to exceeding the set upper limit threshold includes: if the total load of the substation corresponding to the user exceeds the set upper limit threshold for a time longer than the set time threshold, then it is determined that the total load of the substation corresponding to the user meets the condition corresponding to exceeding the set upper limit threshold. Therefore, only when the substation continuously exceeds the limit (that is, the total load of the substation corresponding to the user exceeds the set upper limit threshold for a time longer than the set time threshold) is it considered that load control is indeed required to eliminate the situation where the substation exceeds the limit, which reduces the situation where the total load fluctuation of the substation causes the load control to be mistakenly triggered, and avoids frequent start of load control.

[0030] Furthermore, in order to reduce the impact of load control on the normal operation of the user end, the method of executing the load control strategy on the user also includes: if the duration of the user load control of a certain user reaches the set power limit duration, a corresponding user load control instruction is issued to cancel the control of the user load of the user. That is, after controlling the user load of a certain user for a period of time, the normal operation of the user load of the user is restored, thereby avoiding the influence of excessively long-term user load control on the normal use of the user load of the user end.

[0031] In order to further eliminate the impact of load control on users in the power conservation state, the method of executing the load control strategy on users also includes: if a power conservation input command is received during the control of a user's user load, the corresponding user load control instruction is immediately issued to cancel the control of the user's user load. That is, for users who need power conservation, the load control is immediately canceled so that they can respond to the power conservation command in time, thereby avoiding the situation where the user end cannot enter the power conservation state due to load control.

[0032] Refer to Figure 3 The specific example of the process of load management software to control load is as follows: 1) The load management software reads or updates the user profile information (i.e. user data), including the user's meter address, orderly power consumption information, power protection status, etc.; 2) After reading the user data, determine whether the user starts the load control according to the setting of whether the user starts the load control. If not, return to step 1); otherwise, continue to step 3); 3) If yes, then judge based on the transformer load (i.e., the total load of the substation corresponding to the user) and the set transformer load threshold (i.e., the set upper limit threshold). If it is judged that the transformer load is greater than the set transformer load threshold for a period of time and the user is in a non-power-saving state, then start load control, otherwise return to step 1); 4) Determine whether the load overload time in the substation (i.e., the duration of time when the total load of the substation corresponding to the user exceeds the set upper limit threshold) exceeds the set time threshold (i.e., the set duration threshold) and is in a non-power protection state, if not, return to step 3); 5) According to the load control strategy, select users who are subject to load control and issue user load control instructions to perform load control; when the duration of load control on a user reaches the power-limiting time (i.e., the set power-limiting time), cancel the load control on the user; if a user receives a power-saving input command during the control period, cancel the control on the user's load immediately; 6) Determine whether the load control of all users is completed. If so, end the load control process. If not, return to step 3).

[0033] For specific load sensing control modules, refer to Figure 2 In this embodiment, the user-side IoT meter is equipped with a load control module, and the external circuit breaker is connected to the relay corresponding to the load control module (in this embodiment, the relay corresponding to the load sensing control module is directly set on the load sensing control module, which can be called the relay on the load sensing control module); since the external circuit breaker (i.e. Figure 1 The "switch" between the load module and the load, and between the IoT table and the load) is controlled by a relay signal to open and close. Therefore, the load sensing control module controls the corresponding circuit breaker to open or close according to the user load control instruction. The method includes: the load sensing control module controls the opening and closing of its own corresponding relay to control the corresponding circuit breaker to open or close according to the user load control instruction. In this embodiment, if the load sensing control module controls the corresponding relay to disconnect after receiving the user load control instruction, the circuit breaker will trip (i.e., shut down); if the load sensing control module controls the corresponding relay to close after receiving the user load control instruction, the circuit breaker will close (i.e., open). In other embodiments, the corresponding circuit breaker may trip when the corresponding relay of the load sensing control module itself is disconnected, and the corresponding circuit breaker may trip when the corresponding relay of the load sensing control module itself is closed, as long as it can be achieved through the existing control device.

[0034] The operation sequence inside the load control module corresponding to the IoT table in the load sensing control system of this embodiment is as follows: Figure 4As shown, the development of load-aware control functions can be realized on the basis of the modularization of the IoT table. After the load control user selects, the load management software issues a user load control instruction with a time limit (i.e., the power-limiting duration is set), and the load-aware control module receives the user load control instruction and resumes the response, controls the opening and closing of the circuit breaker, and records the opening and closing of the circuit breaker as an event and status; the load-aware control module can read and store user data containing IoT table data in real time according to the State Grid Communication 698.45 protocol, and then judge whether it is over-capacity according to the set rated capacity parameters, record the over-capacity time, and update the status word.

[0035] In addition, in this embodiment, if the user load control instruction is generated by the load management software, the method of determining the user load control instruction includes: The load management software determines the user load capacity that needs to be load controlled according to the amount that the total load of the substation corresponding to the user exceeds the set upper limit threshold, determines the control round according to the user load capacity that needs to be load controlled, and selects the user who performs load control according to the load regulation priority, and determines the corresponding user load control instructions according to the determined control round and the selected user who performs load control; if there are users who did not perform load control in the previous control round, the users who did not perform load control will be given priority as the users who perform load control in this control round; the load regulation priority is determined according to the user loads of all users who have started load control in the substation collected in real time, and sorted by capacity from large to small.

[0036] In summary, refer to Figure 5 Taking the load control of the electric heating system as an example, the entire load control process including determining the user load control instruction is as follows: a) The load management software at the concentrator end collects the total load Pt of the substation corresponding to the user in real time, and determines whether the total load Pt of the substation exceeds the set substation capacity limit Ps (that is, the set upper limit threshold); collects the load Pb on the user side of the electric heating in the substation in real time under the non-power protection state; calculates the substation excess capacity ΔP=Ps-Pt according to the total load of the substation and the substation capacity limit Ps; when ΔP<0, it means that the substation capacity has exceeded the limit. If the duration of the substation capacity exceeding the limit is greater than the set duration threshold, the load control strategy is executed on the user, and the user load capacity that needs to be load controlled is calculated as ΔPb, and load control is achieved by making ΔPb+ΔP≥0.

[0037] b) The user load selection strategy follows the principle of "overcapacity priority, three-phase balance, capacity guarantee, and fair management". First, the user loads P1.......Pn of all electric heating users in the substation are collected in real time, and the load control priority is sorted according to the capacity (excluding users not put into load management). The load management software determines the control round and selects users according to the load control strategy; if there are users who have not been executed in the previous round of load management, the user loads controlled in this execution will be given priority according to the principle of fairness, and users who have not been executed in this round will participate in the load control execution in subsequent rounds.

[0038] c) After the load control user and round are determined, the load management software uses the HPLC channel to send a time-limited user load control instruction to the IoT table. The IoT table identifies the extended address in the instruction frame and forwards the control instruction to the load control module. After receiving the control instruction, the load control module realizes the action of the circuit breaker by opening and closing its own corresponding relay. Then the load control module collects user data and updates the closing and opening status for the load management software to collect. After the time limit (i.e. the set power restriction time) is reached, the relevant load control is automatically canceled, the corresponding relay of the load control module itself is reset, the circuit breaker is closed, the load control module collects user data containing power data and updates the gate position status, and the load management software collects user data containing power data and gate position status in the load control module.

[0039] d) Record the current load control round, participating users, and user participation capacity, and calculate the load control user objects for subsequent rounds and perform corresponding load control.

[0040] e) When all users have participated in a load control, one cycle of load control is considered completed. The load management control of the second cycle, the third cycle, and other subsequent cycles can be continued according to the above process a)-e).

[0041] The present invention has the following characteristics: The mode of "concentrator-side load management software + smart IoT electric energy meter + load-sensing control extension module + external circuit breaker" is adopted to realize load sensing control. In terms of hardware configuration, it is only necessary to add circuit breakers and load sensing control modules as extension modules of IoT meters on the basis of the existing meter management architecture of concentrators and IoT meters. The installation and implementation are relatively simple and convenient. Moreover, compared with the existing meter management architecture, the load sensing control module and the load management software on the concentrator side added in this solution are respectively corresponding extensions made according to needs on the basis of adapting to the functional expansion methods of the existing IoT meter modules and concentrators. Therefore, for different demand scenarios, it is only necessary to make corresponding changes on the basis of the load sensing control module and the load management software on the concentrator side. This not only ensures that the load sensing control system can adapt to a variety of demand scenarios, but also reduces the research and development and transformation costs, thereby reducing the difficulty of implementation.

[0042] The load management software can run independently of the main station to complete the area load collection, load management and precise control. That is, instructions with extended addresses (including user load control instructions and user data collection instructions) can also be generated and issued by the load management software itself to realize user data collection or user load control.

[0043] Only when it is determined that the user has started load control, the load control strategy is executed for the user, otherwise the load control strategy is not executed for the user; thus, it can be ensured that load control is only performed on users who are willing or able to participate in load control (i.e., users who have started load control), avoiding affecting other users. Moreover, only when the substation continuously exceeds the limit (i.e., the total load of the substation corresponding to the user exceeds the set upper limit threshold for a period longer than the set duration threshold) is it considered that load control is indeed required to eliminate the situation where the substation exceeds the limit, reducing the situation where the total load fluctuation of the substation causes the load control to be falsely triggered, and avoiding frequent startup of load control.

[0044] After controlling the user load of a certain user for a period of time, the normal operation of the user load of the user is restored, thereby preventing the normal use of the user load at the user end from being affected by the user load control for too long.

[0045] For users who need power conservation, the load control is immediately canceled so that they can respond to the power conservation command in time, thereby avoiding the situation where the user end cannot enter the power conservation state due to load control.

[0046] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments without creative work, or to make equivalent replacements for some of the technical features therein.

Claims

1. A load sensing control system based on a concentrator, characterized in that: It includes load management software set at the concentrator end and a load sensing control module set corresponding to the IoT table; the load management software is also used to issue instructions containing an extended address corresponding to the load sensing control module, and the instructions include user load control instructions; The system also includes an Internet of Things table for receiving user load control instructions sent by load management software and identifying the extended address corresponding to the load sensing control module in the user load control instructions to forward the user load control instructions to the load sensing control module, and a circuit breaker for correspondingly switching on and off the corresponding user load when opening and closing; the load sensing control module is also used to receive and control the corresponding circuit breaker to open or close according to the user load control instructions.

2. The load sensing control system based on concentrator according to claim 1 is characterized in that: It also includes a relay corresponding to the load sensing control module itself; the circuit breaker is also used to open or close according to the opening and closing signal of the relay corresponding to the load sensing control module itself; The load sensing control module controls the corresponding circuit breaker to be turned on or off according to the user load control instruction. The load sensing control module controls the opening and closing of its own corresponding relay to control the corresponding circuit breaker to be turned on or off according to the user load control instruction.

3. The concentrator-based load sensing control system according to claim 1, characterized in that: The instructions also include user data collection instructions; the IoT table is also used to receive user data collection instructions sent by the load management software and identify the extended address corresponding to the load sensing control module in the user data collection instructions to forward the user data collection instructions to the load sensing control module; the load sensing control module is also used to receive and obtain corresponding user data according to the user data collection instructions and forward it to the IoT table; the IoT table is also used to forward the received user data forwarded by the load sensing control module to the load management software; the load management software sends instructions containing the extended address corresponding to the load sensing control module through the power line carrier channel of the concentrator.

4. The concentrator-based load sensing control system according to claim 3, characterized in that: The user data includes settings for whether the user starts load control; the load management software is also used to determine whether the user starts load control based on the settings for whether the user starts load control; if it is determined that the user has started load control, the load control strategy is executed for the user, otherwise the load control strategy is not executed for the user.

5. The concentrator-based load sensing control system according to claim 4, characterized in that: Ways to implement load control strategies on users include: It is determined based on the user data whether the user meets the conditions for load control. If yes, a corresponding user load control instruction is issued to control the user load of the user; otherwise, it is continued to determine whether the user meets the conditions for load control.

6. The concentrator-based load sensing control system according to claim 5, characterized in that: The user data also includes whether the user is in a power conservation state and the total load of the area corresponding to the user; The method of judging whether the user meets the condition for load control according to the user data of the user includes: if the user is not in the power protection state and it is judged that the total load of the substation corresponding to the user meets the condition corresponding to exceeding the set upper limit threshold, then judging that the user meets the condition for load control; Otherwise, the judgment is not satisfied.

7. The concentrator-based load sensing control system according to claim 6, characterized in that: The method for determining whether the total load of the substation corresponding to the user satisfies the condition corresponding to the set upper limit threshold includes: if the time length for which the total load of the substation corresponding to the user exceeds the set upper limit threshold is greater than the set time length threshold, then it is determined that the total load of the substation corresponding to the user satisfies the condition corresponding to the set upper limit threshold.

8. The concentrator-based load sensing control system according to claim 5 or 6, characterized in that: The method of executing the load control strategy on the user also includes: if the duration of controlling the user load of a certain user reaches the set power restriction duration, a corresponding user load control instruction is issued to cancel the control of the user load of the user.

9. The concentrator-based load sensing control system according to claim 5 or 6, characterized in that: The method of executing the load control strategy on the user also includes: if a power protection input command is received during the control of the user load of a certain user, a corresponding user load control instruction is issued to cancel the control of the user load of the user.

10. The concentrator-based load sensing control system according to claim 7, characterized in that: Methods for determining user load control instructions include: The load management software determines the user load capacity that needs to be load controlled according to the amount that the total load of the substation corresponding to the user exceeds the set upper limit threshold, determines the control round according to the user load capacity that needs to be load controlled, and selects the user who performs load control according to the load regulation priority, and determines the corresponding user load control instructions according to the determined control round and the selected user who performs load control; if there are users who did not perform load control in the previous control round, the users who did not perform load control are given priority as users who perform load control in this control round; the load regulation priority is determined according to the user loads of all users who have started load control in the substation collected in real time, and sorted by capacity from large to small.

Images