Temperature control equipment demand response method and system based on dynamic time-varying dead zone control
By using a dynamic time-varying dead zone control method, an asymmetric dynamic dead zone is constructed based on the operating status of the temperature control equipment and user activity scenarios. Combined with equipment health status indicators, an equipment priority sequence is generated, which solves the problem of balancing comfort and control efficiency of temperature control equipment under different energy consumption scenarios and realizes intelligent demand response.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-14
- Publication Date
- 2026-03-13
AI Technical Summary
Existing temperature control equipment uses fixed threshold settings for temperature dead zone parameters, which makes it difficult to adapt to changes in comfort requirements caused by human activity rhythms. This results in decreased control capabilities or negatively impacts user experience during day-night transitions and activity scene changes, making it difficult to achieve a balance between comfort and control efficiency.
A dynamic time-varying dead zone control method is adopted. Based on the operating status of the temperature control equipment and the user activity scenario, an asymmetric dynamic dead zone is constructed. The dead zone is then corrected in combination with the equipment health status indicators to generate an equipment priority sequence. By adjusting the temperature setpoint, the equipment status is triggered to change, thereby achieving precise response to power grid dispatch.
It achieves a balance between user comfort and grid regulation efficiency in different energy use scenarios, thereby improving regulation efficiency and equipment lifespan.
Smart Images
Figure CN121657772A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of smart grid and user-side energy efficiency management technology, and in particular to a demand response method and system for temperature control equipment based on dynamic time-varying dead zone control. Background Technology
[0002] In the fields of smart grid and user-side energy efficiency management, demand response control of temperature-controlled equipment is a key means to achieve peak shaving and valley filling in the power grid and improve the renewable energy absorption capacity. With the deepening research on flexible load regulation of power systems, group regulation strategies based on temperature dead zone control have become one of the mainstream research directions. Among the existing technologies, the most representative is the optimization control method using normalized temperature extension margin. This method establishes an equivalent thermodynamic model of the temperature-controlled equipment, calculates the relative distance between the current temperature of the equipment and the set dead zone boundary, and normalizes it to eliminate individual differences between equipment, forming a dynamic response priority queue.
[0003] A key problem exposed in the practical application of existing technologies is that the temperature dead zone parameter is usually set with a fixed threshold. This static dead zone setting is difficult to adapt to changes in comfort requirements caused by human activity rhythms, especially during the transition between day and night and changes in activity scenarios. Users are more sensitive to temperature fluctuations during these periods than during active periods. A fixed dead zone either becomes excessively widened to ensure comfort, leading to a decrease in controllability, or becomes excessively narrowed to pursue control effects, affecting the user experience. This lack of adaptability in the spatiotemporal dimension makes it difficult for existing technologies to achieve the optimal balance between comfort and control efficiency when facing diverse energy consumption scenarios. Summary of the Invention
[0004] In view of the aforementioned existing problems, the present invention is proposed.
[0005] Therefore, this invention provides a demand response method for temperature control equipment based on dynamic time-varying dead zone control, which solves the problem that static dead zones are difficult to balance in terms of both user comfort and power grid regulation efficiency in the spatiotemporal dimensions.
[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a demand response method for temperature control equipment based on dynamic time-varying dead zone control, which includes collecting the operating status of the temperature control equipment, indoor temperature and outdoor temperature, and dividing the temperature control equipment into an on equipment group and an off equipment group according to the operating status. Based on the real-time temperatures of temperature control devices in the turned-on and turned-off device groups, the temperature extension margin of the temperature control devices is calculated. According to the user activity scenario at the current time, an asymmetric dynamic dead zone with independent lower and upper dead zones is constructed for the temperature control devices. The health status indicators of the temperature control equipment are obtained, and the asymmetric dynamic dead zone is corrected using the health status indicators to obtain the final dead zone. The temperature extension margin is normalized using the final dead zone to obtain the normalized temperature extension margin of the temperature control equipment. For the temperature control devices in the turned-on and turned-off groups, sort them from largest to smallest according to the normalized temperature margin value to generate a device priority sequence. Upon receiving the load power adjustment command from the power grid dispatch center, based on the equipment priority sequence, the system selects from the corresponding activated equipment group, starting with the temperature control equipment with the smallest normalized temperature extension margin value. The total power of the temperature control equipment meets the requirements of the load power adjustment command, thus forming a controlled equipment group. Adjust the temperature setpoint of the temperature control device in the controlled equipment group. The adjustment amount is the current temperature margin value of the temperature control device, which triggers the temperature control device to change its operating status.
[0007] As a preferred embodiment of the temperature control equipment demand response method based on dynamic time-varying dead-zone control described in this invention, the method includes: collecting the operating status of the temperature control equipment, indoor temperature, and outdoor temperature; and dividing the temperature control equipment into an on-set group and an off-set group based on the operating status, comprising the following steps: The user terminal registers the temperature control device and presets the basic parameters of the temperature control device. The intelligent measuring device collects the operating status of the temperature control device and the indoor and outdoor temperatures of the temperature control device. The operation status judgment logic classifies temperature control devices that are in the "on" state into the "on device" group. The operating status judgment logic categorizes temperature control devices that are in an off state into the off device group.
[0008] As a preferred embodiment of the temperature control equipment demand response method based on dynamic time-varying dead zone control described in this invention, the method includes: calculating the temperature margin of the temperature control equipment based on the real-time temperatures of the temperature control equipment in the turned-on and turned-off equipment groups; and constructing an asymmetric dynamic dead zone with independent lower and upper dead zones for the temperature control equipment according to the user activity scenario at the current time, including the following steps: Real-time temperatures of temperature control devices in the equipment group are turned on and off, and the temperature margin of the temperature control devices is calculated. The clock unit provides current time information, allowing us to determine the user's activity context at that time. User activity scenario information is combined with the user's preset basic dead zone to generate an asymmetric dynamic dead zone with independent lower and upper dead zones.
[0009] As a preferred embodiment of the demand response method for temperature control equipment based on dynamic time-varying dead zone control described in this invention, the method includes the following steps: obtaining the health status index of the temperature control equipment, using the health status index to correct the asymmetric dynamic dead zone to obtain the final dead zone, and using the final dead zone to normalize the temperature extension margin to obtain the normalized temperature extension margin of the temperature control equipment. The historical operation data recording unit provides health status indicators for the temperature control equipment. These health status indicators correct the asymmetric dynamic dead zone, thus obtaining the corrected asymmetric dynamic dead zone. The modified asymmetric dynamic dead zone is defined as the final dead zone. The normalized temperature extension margin is calculated based on the final dead zone and the temperature extension margin, and the normalized temperature extension margin of the temperature control device is output.
[0010] As a preferred embodiment of the temperature control equipment demand response method based on dynamic time-varying dead zone control described in this invention, the method includes: sorting the temperature control equipment in the turned-on equipment group and the turned-off equipment group according to the normalized temperature margin value from largest to smallest to generate an equipment priority sequence, including the following steps: The normalized temperature margin values of the temperature control devices within the device group are extracted for sorting operations. The normalized temperature margin values of the temperature control devices within the device group were extracted for sorting operations. The sorting logic arranges the temperature control devices in the group of activated devices in descending order of normalized temperature margin values. The sorting logic arranges the temperature control devices in the shutdown device group in descending order of normalized temperature extension margin values; The sorting results of the enabled device group and the disabled device group are merged to generate a device priority sequence.
[0011] As a preferred embodiment of the temperature control equipment demand response method based on dynamic time-varying dead-zone control described in this invention, the method includes: receiving a load power adjustment command issued by the power grid dispatch center; selecting from the corresponding activated equipment group based on the equipment priority sequence, starting with the temperature control equipment with the smallest normalized temperature extension margin value; ensuring that the total power of the temperature control equipment meets the requirements of the load power adjustment command; and forming a controlled equipment group. This includes the following steps: The communication interface receives load power adjustment instructions from the power grid dispatch center, parses the contents of the load power adjustment instructions, and obtains the load power that needs to be reduced. The control logic determines the target device group as the activated device group based on the load power adjustment command. The device priority sequence of the activated device group is invoked, and the temperature control device with the smallest normalized temperature extension margin value is located in the device priority sequence of the activated device group through the minimum priority queue algorithm. Based on the greedy selection algorithm, starting with the temperature control device with the smallest normalized temperature extension margin value, the rated power of the temperature control devices is accumulated. If the total power of the temperature control devices is greater than or equal to the power value required by the load power adjustment command, the set of selected temperature control devices is defined as the controlled device group.
[0012] As a preferred embodiment of the temperature control equipment demand response method based on dynamic time-varying dead zone control described in this invention, the following steps are included: adjusting the temperature setpoint of the temperature control equipment in the controlled equipment group, wherein the adjustment amount is the current temperature margin value of the temperature control equipment, triggering the temperature control equipment to change its operating state: The control command generation unit obtains the temperature margin value of the temperature control device in the controlled equipment group, and obtains the adjustment direction of the temperature setpoint according to the group to which the temperature control device belongs; The control command generation unit generates temperature setpoint adjustment commands for the temperature control equipment in the controlled equipment group, using the temperature margin value as the adjustment amount. The temperature setpoint adjustment command is sent to the corresponding temperature control device in the controlled device group, and the received temperature setpoint adjustment command is executed. The change in the temperature setpoint triggers the internal state control logic of the temperature control device, which then determines and changes the operating state of the temperature control device based on the new temperature setpoint.
[0013] Secondly, the present invention provides a temperature control equipment demand response system based on dynamic time-varying dead zone control, including a data acquisition module, which collects the operating status of the temperature control equipment, indoor temperature and outdoor temperature, and divides the temperature control equipment into an on equipment group and an off equipment group according to the operating status. The dynamic dead zone module calculates the temperature margin of the temperature control devices based on the real-time temperatures of the temperature control devices in the turned-on and turned-off device groups. According to the user activity scenario at the current time, it constructs an asymmetric dynamic dead zone for the temperature control devices with independent lower and upper dead zones. The optimization module obtains the health status indicators of the temperature control equipment, uses the health status indicators to correct the asymmetric dynamic dead zone, obtains the final dead zone, and uses the final dead zone to normalize the temperature extension margin, thus obtaining the normalized temperature extension margin of the temperature control equipment. The device priority module sorts the temperature control devices in the powered-on and powered-off device groups from largest to smallest based on the normalized temperature margin value, generating a device priority sequence. The response strategy decision module receives load power adjustment instructions from the power grid dispatch center. Based on the equipment priority sequence, it selects from the corresponding activated equipment group starting with the temperature control equipment with the smallest normalized temperature extension margin value. The total power of the temperature control equipment meets the requirements of the load power adjustment instructions, thus forming a controlled equipment group. The control command execution module adjusts the temperature setpoint of the temperature control equipment in the controlled equipment group. The adjustment amount is the current temperature margin value of the temperature control equipment, triggering the temperature control equipment to change its operating state.
[0014] Thirdly, the present invention provides a computer device including a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, it implements any step of the temperature control equipment demand response method based on dynamic time-varying dead zone control as described in the first aspect of the present invention.
[0015] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, it implements any step of the temperature control equipment demand response method based on dynamic time-varying dead-zone control as described in the first aspect of the present invention.
[0016] The beneficial effects of this invention are as follows: By constructing a dynamic time-varying dead zone that changes asymmetrically with user activity scenarios and integrates the health status of equipment, the response priority of temperature control equipment groups is dynamically reconstructed and optimized. Equipment status and temperature are monitored in real time, and equipment groups are divided. Then, the temperature extension margin is calculated, and a normalized priority index is obtained based on the dynamic dead zone. According to the power grid command, the controlled equipment is accurately selected according to the priority. The state change is directly triggered by adjusting the temperature setpoint, thereby realizing an intelligent demand response that takes into account the control efficiency, user comfort and equipment life. Attached Figure Description
[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a flowchart of a demand response method for temperature control equipment based on dynamic time-varying dead-zone control.
[0019] Figure 2 This is a schematic diagram of a demand response system for temperature control equipment based on dynamic time-varying dead zone control.
[0020] Figure 3 A schematic diagram of the normalized temperature extension margin.
[0021] Figure 4 This is a diagram illustrating the device priority sequence. Detailed Implementation
[0022] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0023] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.
[0024] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.
[0025] Reference Figures 1-4 This is one embodiment of the present invention, which provides a demand response method for temperature control equipment based on dynamic time-varying dead-zone control, including the following steps: S1. Collect the operating status of the temperature control equipment, indoor temperature and outdoor temperature, and divide the temperature control equipment into the on-state equipment group and the off-state equipment group according to the operating status.
[0026] S1.1 The user terminal registers the temperature control device and presets the basic parameters of the temperature control device. The intelligent measuring device collects the operating status of the temperature control device, the indoor temperature and the outdoor temperature of the temperature control device.
[0027] Furthermore, each temperature control device participating in demand response is registered through the user terminal, and basic parameters are preset for each device. These basic parameters include the user's expected temperature setpoint and the user's acceptable basic temperature dead zone range. The intelligent measurement device deployed on the user side begins to synchronously collect three types of key data at a fixed sampling period: first, the current operating status of each registered temperature control device, that is, whether it is in the cooling or heating on state or in the power-off off state; second, the real-time indoor temperature of the area regulated by each temperature control device is read through the temperature sensor built into the temperature control device or the independent indoor temperature sensor; and third, the current outdoor ambient temperature is obtained by connecting to the meteorological data service or by the sensor deployed outdoors.
[0028] S1.2 The operating status judgment logic classifies temperature control devices with an "on" operating status into the "on device" group.
[0029] Furthermore, after the intelligent measuring device completes the collection of the operating status of the temperature control equipment, as well as the indoor and outdoor temperatures, the operating status judgment logic begins to process the collected operating status data. The operating status judgment logic traverses the operating status of all registered temperature control equipment. When the operating status judgment logic identifies that the operating status of a certain temperature control equipment is "on," it immediately adds the identifier of that temperature control equipment and its associated real-time data to a dynamic set named "On Equipment Group."
[0030] S1.3 The operating status judgment logic classifies temperature control devices with an operating status of "off" into the "off device" group.
[0031] Furthermore, when processing the operating status data of temperature control devices, the operating status judgment logic identifies that the operating status of a certain temperature control device is off. The operating status judgment logic then adds the identifier of the temperature control device and its associated real-time data to another dynamic set called the off device group. All temperature control devices are classified into the on device group or the off device group without omission. The union of the on device group and the off device group constitutes the complete controllable temperature control device group at the current moment.
[0032] S2. Based on the real-time temperatures of the temperature control devices in the turned-on and turned-off device groups, calculate the temperature extension margin of the temperature control devices. According to the user activity scenario at the current time, construct an asymmetric dynamic dead zone for the temperature control devices with independent lower and upper dead zones.
[0033] S2.1. Turn on and off the real-time temperature of the temperature control devices in the equipment group, and calculate the temperature margin of the temperature control devices.
[0034] Furthermore, using groups of operating and deactivated devices, for each temperature control device in the operating group, the difference between the set upper temperature limit of the device and the real-time indoor temperature of that device is the temperature margin of that operating temperature control device, representing the distance between the device and the boundary of stopping operation. For each temperature control device in the deactivated group, the difference between the real-time indoor temperature and the set lower lower limit of the device is the temperature margin of that operating temperature control device, representing the distance between the device and the boundary of starting operation. The temperature margin is calculated using a piecewise function. When the temperature control device belongs to the deactivated group, the temperature margin is equal to the real-time indoor temperature minus the set lower lower limit; when the temperature control device belongs to the operating group, the temperature margin is equal to the set upper temperature limit minus the real-time indoor temperature.
[0035] The expression for temperature extension margin is: in, For the first The equipment is in The temperature at any given moment and the distance to the state transition boundary. For the first The equipment is in Continuous measurement of indoor temperature For the first The equipment is in The lower limit of the set temperature at any given time. For the first The equipment is in The upper limit of the set temperature at any time, For device indexing, For a moment.
[0036] S2.2 The clock unit provides the current time information and obtains the user activity scenario to which the current time belongs.
[0037] Furthermore, when calculating the temperature margin, the clock unit provides precise current time information, such as year, month, day, hour, minute, and second. Based on a preset user activity scenario schedule, the current time information provided by the clock unit is matched with the user activity scenario schedule to obtain the specific user activity scenario to which the current time belongs.
[0038] S2.3. User activity scenario information is combined with the user's preset basic dead zone to generate an asymmetric dynamic dead zone where the lower and upper dead zones are independent of each other.
[0039] Furthermore, after obtaining the user activity scenario information for the current time, this information is combined with the user's baseline dead zone in the temperature control device. For different user activity scenarios, preset independent weighting coefficients are applied to differentiate the lower and upper limits of the baseline dead zone. During sleep periods, a larger lower dead zone weighting coefficient and a smaller upper dead zone weighting coefficient are used, thus generating an asymmetric dynamic dead zone where the lower dead zone is wider than the upper dead zone. The generation function of the asymmetric dynamic dead zone can be expressed as: the lower limit of the dynamic dead zone equals the lower limit of the baseline dead zone multiplied by the lower limit weighting coefficient corresponding to the current user activity scenario; the upper limit of the dynamic dead zone equals the upper limit of the baseline dead zone multiplied by the upper limit weighting coefficient corresponding to the current user activity scenario. This generates an asymmetric dynamic dead zone for each temperature control device that is adapted to its current user activity scenario, with the lower and upper dead zones being independent of each other.
[0040] S3. Obtain the health status indicators of the temperature control equipment, use the health status indicators to correct the asymmetric dynamic dead zone to obtain the final dead zone, use the final dead zone to normalize the temperature extension margin to obtain the normalized temperature extension margin of the temperature control equipment.
[0041] S3.1 The historical operation data recording unit provides health status indicators for the temperature control equipment. The health status indicators correct the asymmetric dynamic dead zone to obtain the corrected asymmetric dynamic dead zone.
[0042] Furthermore, the historical operation data recording unit provides health status indicators for the temperature control equipment. These health status indicators are derived from the statistics of historical operation data of the temperature control equipment, such as the cumulative number of start-stop cycles or the total operating time. After obtaining the health status indicators, the asymmetric dynamic dead zone related to user activity scenarios is corrected using these indicators. In the correction process, the health status indicators are used as a weighting factor, and a tolerance factor greater than 1 is assigned to temperature control equipment with poor health status. The tolerance factor is then multiplied by the asymmetric dynamic dead zone to obtain an asymmetric dynamic dead zone that has been corrected based on equipment reliability considerations.
[0043] S3.2. Define the corrected asymmetric dynamic dead zone as the final dead zone.
[0044] Furthermore, after completing the correction based on health status indicators, the corrected asymmetric dynamic dead zone is explicitly defined as the final dead zone. The final dead zone is the authoritative dead zone value used in subsequent calculations, which includes dynamic adaptation from user activity scenarios and protective adjustments from the device's own health status.
[0045] S3.3 Calculate the normalized temperature extension margin based on the final dead zone and temperature extension margin, and output the normalized temperature extension margin of the temperature control device.
[0046] Furthermore, after obtaining the final dead zone, the temperature extension margin is normalized using this final dead zone. The normalization process involves dividing the temperature extension margin value by the final dead zone value. The expression for the normalized temperature extension margin is: normalized temperature extension margin equals temperature extension margin divided by the final dead zone. The normalized temperature extension margin of each temperature control device at the current moment is output. This index is a dimensionless value used to fairly compare the response priorities of different temperature control devices.
[0047] The normalized temperature extension margin expression is: ; in, For the first The equipment is in Standardized response priority metrics for each moment For the first The equipment is in Effective temperature dead zone width at any given time.
[0048] S4. Sort the temperature control devices in the turned-on and turned-off device groups respectively according to the normalized temperature margin value from largest to smallest, and generate a device priority sequence.
[0049] S4.1 The normalized temperature margin value of the temperature control equipment in the device group is extracted for sorting operations.
[0050] Furthermore, access the normalized temperature margin values of all temperature control devices within the activated device group, extract the normalized temperature margin values of each temperature control device in the activated device group, and copy the normalized temperature margin values of each temperature control device to form a set of values specifically used for the sorting operation of the activated device group.
[0051] S4.2, The normalized temperature margin value of the temperature control equipment in the equipment group is extracted for sorting operations.
[0052] Furthermore, access the normalized temperature margin values of all temperature controllers within the shutdown device group. The extract operation iterates through each temperature controller in the shutdown device group, reads and copies the normalized temperature margin values of the temperature controllers, forming a separate set of values specifically for the shutdown device group sorting operation.
[0053] S4.3 The sorting logic arranges the temperature control devices in the group of activated devices in descending order of the normalized temperature extension margin value.
[0054] Furthermore, after extracting the normalized temperature margin values of the activated equipment group, the sorting logic begins to process the extracted set of normalized temperature margin values. The sorting logic uses a descending sorting algorithm, a quick sorting algorithm, or a merge sorting algorithm to rearrange all temperature control devices in the activated equipment group according to the normalized temperature margin values from largest to smallest. After sorting, the temperature control devices in the activated equipment group are arranged according to their normalized temperature margin values from largest to smallest, with the temperature control device with the smallest value located at the end of the sequence.
[0055] S4.4 The sorting logic arranges the temperature control devices in the shutdown device group in descending order of normalized temperature extension margin values.
[0056] Furthermore, after extracting the normalized temperature margin values of the shut-down equipment group, the sorting logic processes the extracted set of normalized temperature margin values of the shut-down equipment group. The sorting logic uses the same descending sorting algorithm to rearrange all temperature control devices in the shut-down equipment group according to the normalized temperature margin values from largest to smallest. After sorting, the temperature control devices in the shut-down equipment group are also arranged according to the normalized temperature margin values from largest to smallest, with the temperature control device with the smallest value located at the end of the sequence.
[0057] S4.5 The sorting results of the enabled device group and the disabled device group are merged to generate a device priority sequence.
[0058] Furthermore, after completing the internal sorting of the powered-on and powered-off device groups separately, the sorting results of the powered-on group and the powered-off group are merged. This merging operation does not involve mixing and re-sorting the devices from the two groups; rather, it logically links two independent, internally sorted sequences together to form a complete device priority sequence. In this sequence, the device with the smallest normalized temperature margin in both the powered-on and powered-off group sorting results is considered the highest-priority candidate, providing a clear selection basis for subsequent response control.
[0059] S5. Receive the load power adjustment command issued by the power grid dispatch center. Based on the equipment priority sequence, select the temperature control equipment with the smallest normalized temperature extension margin value from the corresponding activated equipment group. The total power of the temperature control equipment meets the requirements of the load power adjustment command, thus forming a controlled equipment group.
[0060] S5.1 The communication interface receives load power adjustment instructions from the power grid dispatch center, parses the contents of the load power adjustment instructions, and obtains the load power that needs to be reduced.
[0061] Furthermore, after clarifying that the load power adjustment command requires a reduction in load power, the control logic makes a judgment based on the requirements of the load power adjustment command. Reducing the load power needs to be achieved by stopping some of the currently running temperature control equipment. Therefore, the control logic determines that the target equipment group for this response operation is the activated equipment group, that is, the set of all temperature control equipment currently in operation.
[0062] S5.2 The control logic obtains the target equipment group as the activated equipment group according to the requirements of the load power adjustment command.
[0063] Furthermore, after determining that the target device group is the activated device group, the control logic invokes the device priority sequence of the activated device group generated in step S4. The device priority sequence of the activated device group is a list sorted from largest to smallest according to the normalized temperature margin value. Using the minimum priority queue algorithm (whose core operation is to directly access the first or last element of the sorted sequence), the temperature control device with the smallest normalized temperature margin value is located in the device priority sequence of the activated device group. This device is the one with the highest response priority in the activated device group.
[0064] S5.3 The device priority sequence of the activated device group is invoked. The temperature control device with the smallest normalized temperature extension margin value is located in the device priority sequence of the activated device group through the minimum priority queue algorithm.
[0065] Furthermore, after identifying the target device group as the activated device group, the control logic invokes the device priority sequence of the activated device group. The device priority sequence of the activated device group is a list sorted from largest to smallest according to the normalized temperature margin value. Using the minimum priority queue algorithm, the temperature control device with the smallest normalized temperature margin value is located in the device priority sequence of the activated device group. This device has the highest response priority in the activated device group.
[0066] S5.4 Based on the greedy selection algorithm, starting from the temperature control device with the smallest normalized temperature extension margin value, the rated power of the temperature control devices is accumulated. If the total power of the temperature control devices is greater than or equal to the power value required by the load power adjustment command, the set of selected temperature control devices is defined as the controlled device group.
[0067] Furthermore, after locating the temperature control device with the smallest normalized temperature extension margin value, a greedy selection algorithm is used to begin device selection and power accumulation. The greedy selection algorithm starts with the temperature control device with the smallest current normalized temperature extension margin value, reads the rated power of the temperature control device and adds it to the accumulation sum. The algorithm selects the next temperature control device in sequence along the device priority sequence of the activated device group and adds its rated power to the current sum. The selection and accumulation process continues to iterate until the total power of the accumulated temperature control devices first reaches or just exceeds the power value required by the load power adjustment command. All the temperature control devices selected to participate in power accumulation together form a set and are defined as the controlled device group.
[0068] S6. Adjust the temperature setpoint of the temperature control device in the controlled equipment group. The adjustment amount is the current temperature margin value of the temperature control device, which triggers the temperature control device to change its operating status.
[0069] S6.1 The control command generation unit obtains the temperature extension margin value of the temperature control device in the controlled equipment group, and obtains the adjustment direction of the temperature setpoint according to the group to which the temperature control device in the controlled equipment group belongs.
[0070] Furthermore, the control command generation unit first obtains the temperature margin value of each temperature control device in the controlled equipment group. The control command generation unit then checks the group information of each temperature control device in the controlled equipment group and determines the adjustment direction of the temperature setpoint based on the group to which the temperature control device belongs: for temperature control devices belonging to the open equipment group, the adjustment direction is to decrease the temperature setpoint; for temperature control devices belonging to the closed equipment group, the adjustment direction is to increase the temperature setpoint.
[0071] S6.2 The control command generation unit generates a temperature setpoint adjustment command for the temperature control equipment in the controlled equipment group, using the temperature extension margin value as the adjustment amount.
[0072] Furthermore, after clarifying the adjustment direction, the control command generation unit uses the obtained temperature margin value as the specific adjustment amount to generate a temperature setpoint adjustment command for each temperature control device in the controlled equipment group. The temperature setpoint adjustment command is a structured digital command that includes the identifier of the target temperature control device, the new temperature setpoint, and a command timestamp.
[0073] S6.3 The temperature setpoint adjustment command is sent to the corresponding temperature control device in the controlled device group and the received temperature setpoint adjustment command is executed.
[0074] Furthermore, after the temperature setpoint adjustment command is generated, it is sent to the corresponding temperature control device in the controlled device group through the communication network. The local microcontroller or control unit of the temperature control device receives and parses the temperature setpoint adjustment command, verifies the validity of the command, and writes the new temperature setpoint into the temperature controller register of the temperature control device to complete the execution of the command.
[0075] S6.4 The change in the temperature setpoint triggers the internal state control logic of the temperature control device. The internal state control logic of the temperature control device judges and changes the operating state of the temperature control device based on the new temperature setpoint.
[0076] Furthermore, the change in the temperature setpoint directly triggers the internal state control logic of the temperature control device. This logic periodically compares the real-time indoor temperature with the new temperature setpoint and its corresponding dead zone. For temperature control devices in an active group that have received a command to lower the setpoint, the upper limit of the new temperature setpoint will be lower than the current indoor temperature, and the state control logic immediately triggers the device to shut down. For temperature control devices in a deactivated group that have received a command to raise the setpoint, the lower limit of the new temperature setpoint will be higher than the current indoor temperature, and the state control logic immediately triggers the device to turn on. Through this series of operations, the temperature control device's operating state can be directly and quickly triggered by adjusting the temperature setpoint, thereby accurately responding to the load power adjustment needs of the power grid.
[0077] This embodiment also provides a temperature control equipment demand response system based on dynamic time-varying dead-zone control, including: This embodiment also provides a computer device applicable to the demand response method for temperature control equipment based on dynamic time-varying dead-zone control, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the demand response method for temperature control equipment based on dynamic time-varying dead-zone control as proposed in the above embodiment.
[0078] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.
[0079] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the demand response method for temperature control equipment based on dynamic time-varying dead-zone control as proposed in the above embodiments. The storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read Only Memory (EPROM), Programmable Red-Only Memory (PROM), Read-Only Memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.
[0080] In summary, this invention constructs a dynamic time-varying dead zone that changes asymmetrically with user activity scenarios and integrates equipment health status. This allows for the dynamic reconstruction and optimization of the response priority of a temperature control device group, real-time monitoring of device status and temperature, and device grouping. Temperature margin is then calculated, and a normalized priority index is obtained based on the dynamic dead zone. According to power grid commands, controlled devices are precisely selected based on priority, and status changes are directly triggered by adjusting the temperature setpoint. This achieves intelligent demand response that balances control efficiency, user comfort, and equipment lifespan.
[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.
Claims
1. A demand response method for temperature control equipment based on dynamic time-varying dead-zone control, characterized in that: This includes collecting the operating status of temperature control equipment, indoor temperature, and outdoor temperature, and classifying the temperature control equipment into groups of on and off devices based on their operating status. Based on the real-time temperatures of temperature control devices in the turned-on and turned-off device groups, the temperature extension margin of the temperature control devices is calculated. According to the user activity scenario at the current time, an asymmetric dynamic dead zone with independent lower and upper dead zones is constructed for the temperature control devices. The health status indicators of the temperature control equipment are obtained, and the asymmetric dynamic dead zone is corrected using the health status indicators to obtain the final dead zone. The temperature extension margin is normalized using the final dead zone to obtain the normalized temperature extension margin of the temperature control equipment. For the temperature control devices in the turned-on and turned-off groups, sort them from largest to smallest according to the normalized temperature margin value to generate a device priority sequence. Upon receiving the load power adjustment command from the power grid dispatch center, based on the equipment priority sequence, the system selects from the corresponding activated equipment group, starting with the temperature control equipment with the smallest normalized temperature extension margin value. The total power of the temperature control equipment meets the requirements of the load power adjustment command, thus forming a controlled equipment group. Adjust the temperature setpoint of the temperature control device in the controlled equipment group. The adjustment amount is the current temperature margin value of the temperature control device, which triggers the temperature control device to change its operating status.
2. The demand response method for temperature control equipment based on dynamic time-varying dead-zone control as described in claim 1, characterized in that: Collect data on the operating status of the temperature control equipment, indoor temperature, and outdoor temperature. Based on the operating status, classify the temperature control equipment into groups of on and off equipment. This includes the following steps: The user terminal registers the temperature control device and presets the basic parameters of the temperature control device. The intelligent measuring device collects the operating status of the temperature control device and the indoor and outdoor temperatures of the temperature control device. The operation status judgment logic classifies temperature control devices that are in the "on" state into the "on device" group. The operating status judgment logic categorizes temperature control devices that are in an off state into the off device group.
3. The demand response method for temperature control equipment based on dynamic time-varying dead-zone control as described in claim 2, characterized in that: Based on the real-time temperatures of temperature-controlled devices in the powered-on and powered-off device groups, the temperature margin of the temperature-controlled devices is calculated. According to the user activity scenario at the current time, an asymmetric dynamic dead zone with independent lower and upper limits is constructed for the temperature-controlled devices, including the following steps: Real-time temperatures of temperature-controlled devices in the equipment group when it is turned on and off, and temperature margin of temperature-controlled devices; The clock unit provides current time information, allowing us to determine the user's activity context at that time. User activity scenario information is combined with the user's preset basic dead zone to generate an asymmetric dynamic dead zone with independent lower and upper dead zones.
4. The demand response method for temperature control equipment based on dynamic time-varying dead-zone control as described in claim 3, characterized in that: Obtain the health status indicators of the temperature control equipment, use these indicators to correct the asymmetric dynamic dead zone to obtain the final dead zone, and use the final dead zone to normalize the temperature extension margin to obtain the normalized temperature extension margin of the temperature control equipment. This process includes the following steps: The historical operation data recording unit provides health status indicators for the temperature control equipment. These health status indicators correct the asymmetric dynamic dead zone, thus obtaining the corrected asymmetric dynamic dead zone. The modified asymmetric dynamic dead zone is defined as the final dead zone. The normalized temperature extension margin is calculated based on the final dead zone and the temperature extension margin, and the normalized temperature extension margin of the temperature control device is output.
5. The demand response method for temperature control equipment based on dynamic time-varying dead-zone control as described in claim 4, characterized in that: For the temperature control devices in the powered-on and powered-off groups respectively, sort them from largest to smallest according to their normalized temperature margin values to generate a device priority sequence, including the following steps: The normalized temperature margin values of the temperature control devices within the device group are extracted for sorting operations. The normalized temperature margin values of the temperature control devices within the device group were extracted for sorting operations. The sorting logic arranges the temperature control devices in the group of activated devices in descending order of normalized temperature margin values. The sorting logic arranges the temperature control devices in the shutdown device group in descending order of normalized temperature extension margin values; The sorting results of the enabled device group and the disabled device group are merged to generate a device priority sequence.
6. The demand response method for temperature control equipment based on dynamic time-varying dead-zone control as described in claim 5, characterized in that: Upon receiving a load power adjustment command from the power grid dispatch center, and based on the equipment priority sequence, selecting from the corresponding activated equipment group, starting with the temperature control equipment with the smallest normalized temperature margin value, and ensuring that the total power of the temperature control equipment meets the requirements of the load power adjustment command, a controlled equipment group is formed, including the following steps: The communication interface receives load power adjustment instructions from the power grid dispatch center, parses the contents of the load power adjustment instructions, and obtains the load power that needs to be reduced. The control logic determines the target device group as the activated device group based on the load power adjustment command. The device priority sequence of the activated device group is invoked, and the temperature control device with the smallest normalized temperature extension margin value is located in the device priority sequence of the activated device group through the minimum priority queue algorithm. Based on the greedy selection algorithm, starting with the temperature control device with the smallest normalized temperature extension margin value, the rated power of the temperature control devices is accumulated. If the total power of the temperature control devices is greater than or equal to the power value required by the load power adjustment command, the set of selected temperature control devices is defined as the controlled device group.
7. The demand response method for temperature control equipment based on dynamic time-varying dead-zone control as described in claim 6, characterized in that: Adjusting the temperature setpoint of the temperature control device in the controlled equipment group, with the adjustment amount being the current temperature margin value of the temperature control device, triggers the temperature control device to change its operating state, including the following steps: The control command generation unit obtains the temperature margin value of the temperature control device in the controlled equipment group, and obtains the adjustment direction of the temperature setpoint according to the group to which the temperature control device belongs; The control command generation unit generates temperature setpoint adjustment commands for the temperature control equipment in the controlled equipment group, using the temperature margin value as the adjustment amount. The temperature setpoint adjustment command is sent to the corresponding temperature control device in the controlled device group, and the received temperature setpoint adjustment command is executed. The change in the temperature setpoint triggers the internal state control logic of the temperature control device, which then determines and changes the operating state of the temperature control device based on the new temperature setpoint.
8. A demand response system for temperature control equipment based on dynamic time-varying dead-zone control, based on the demand response method for temperature control equipment based on dynamic time-varying dead-zone control according to any one of claims 1 to 7, characterized in that: This includes a data acquisition module, which collects the operating status of the temperature control equipment, indoor temperature, and outdoor temperature, and classifies the temperature control equipment into a group of equipment that is on and a group of equipment that is off based on the operating status. The dynamic dead zone module calculates the temperature margin of the temperature control devices based on the real-time temperatures of the temperature control devices in the turned-on and turned-off device groups. According to the user activity scenario at the current time, it constructs an asymmetric dynamic dead zone for the temperature control devices with independent lower and upper dead zones. The optimization module obtains the health status indicators of the temperature control equipment, uses the health status indicators to correct the asymmetric dynamic dead zone, obtains the final dead zone, and uses the final dead zone to normalize the temperature extension margin, thus obtaining the normalized temperature extension margin of the temperature control equipment. The device priority module sorts the temperature control devices in the powered-on and powered-off device groups from largest to smallest based on their normalized temperature margin values, generating a device priority sequence. The response strategy decision module receives load power adjustment instructions from the power grid dispatch center. Based on the equipment priority sequence, it selects from the corresponding activated equipment group starting with the temperature control equipment with the smallest normalized temperature extension margin value. The total power of the temperature control equipment meets the requirements of the load power adjustment instructions, thus forming a controlled equipment group. The control command execution module adjusts the temperature setpoint of the temperature control equipment in the controlled equipment group. The adjustment amount is the current temperature margin value of the temperature control equipment, triggering the temperature control equipment to change its operating state.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, it implements the steps of the temperature control equipment demand response method based on dynamic time-varying dead zone control as described in any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it implements the steps of the temperature control equipment demand response method based on dynamic time-varying dead zone control as described in any one of claims 1 to 7.