Method for determining power consumption strategy on basis of power consumption regulation capabilities of multiple types of energy devices

Abstract

A method for determining a power consumption strategy on the basis of the power consumption regulation capabilities of multiple types of energy devices. The method comprises: in response to having received a power distribution regulation instruction from a power distribution network, acquiring type information of a plurality of energy devices within a target region, a target power consumption regulation period, and historical load information of the plurality of energy devices (S210); on the basis of evaluation strategies for power consumption regulation capabilities, generating response power information of the plurality of energy devices (S220); according to the type information, aggregating the response power information of a plurality of energy devices of the same type, so as to generate response power information of a plurality of energy sub-systems (S230); on the basis of the response power information of the plurality of energy sub-systems and initial weights corresponding to the plurality of energy sub-systems, generating initial power consumption regulation capability information of the target region (S240); and in response to the initial power consumption regulation capability information meeting target constraint conditions, generating a power consumption strategy for the target power consumption regulation period on the basis of the response power information of the plurality of energy devices (S250).

Description

A method for determining electricity consumption strategies based on the electricity consumption regulation capabilities of multiple types of energy equipment

[0001] This application claims priority to Chinese Patent Application No. 202411604191.2, filed with the Chinese Patent Office on November 12, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of integrated energy technology, such as a method for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy devices. Background Technology

[0003] Integrated energy systems involve numerous equipment types and diverse structures, with significant differences in equipment parameters under varying operating conditions and dynamic characteristics at the minute level or below. Furthermore, the control capabilities and behavioral uncertainties among different equipment are coupled and constrained by multiple energy networks such as electricity, heat, and cooling. The assessment of the control capabilities of integrated energy system equipment involves the coordination of control equipment at multiple time scales and granularities, while also taking into account the different needs of local renewable energy consumption, external grid regulation, and the green and low-carbon transformation of the energy system.

[0004] Therefore, it is difficult to match the grid's minute-level dynamic control requirements. Summary of the Invention

[0005] This application provides a method for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy equipment.

[0006] This application provides a method for determining an electricity consumption strategy based on the electricity consumption regulation capability of multiple types of energy devices, comprising: in response to receiving a distribution regulation instruction from a distribution network, acquiring type information of multiple energy devices in a target area, a target electricity consumption regulation period, and historical load information of multiple energy devices corresponding to the target electricity consumption regulation period; processing the historical load information and the target electricity consumption regulation period of multiple energy devices according to an evaluation strategy for the electricity consumption regulation capability corresponding to the type information, generating response power information of multiple energy devices; aggregating the response power information of multiple energy devices of the same type according to the type information, generating response power information of multiple energy subsystems; generating initial electricity consumption regulation capability information of the target area according to the response power information of multiple energy subsystems and the initial weights corresponding to the multiple energy subsystems; and in response to the initial electricity consumption regulation capability information satisfying the target constraints, generating an electricity consumption strategy for the target electricity consumption regulation period based on the response power information of multiple energy devices, wherein the target constraints include electricity consumption safety constraints and carbon emission constraints of the target area.

[0007] According to embodiments of this application, based on an evaluation strategy for power regulation capability corresponding to type information, historical load information and target power regulation periods of multiple energy devices are processed respectively to generate response power information of multiple energy devices, including: determining the target power regulation duration based on the target power regulation period; generating response power information of multiple photovoltaic-storage-direct-flexible devices by processing the target power regulation duration and historical load information of multiple photovoltaic-storage-direct-flexible devices based on an evaluation strategy corresponding to photovoltaic-storage-direct-flexible devices; generating response power information of multiple smart lighting devices by processing the target power regulation duration and historical load information of multiple smart lighting devices based on an evaluation strategy corresponding to smart lighting devices; generating response power information of multiple thermal storage electric boiler devices by processing the target power regulation duration and historical load information of multiple thermal storage electric boiler devices based on an evaluation strategy corresponding to thermal storage electric boiler devices; and generating response power information of multiple ground source heat pump devices by processing the target power regulation duration and historical load information of multiple ground source heat pump devices based on an evaluation strategy corresponding to ground source heat pump devices.

[0008] According to embodiments of this application, the above method further includes: displaying the response power information of multiple photovoltaic-storage-flexible devices, multiple smart lighting devices, multiple thermal storage electric boiler devices, and multiple ground source heat pump devices through a visual interface.

[0009] According to embodiments of this application, response power information of multiple energy devices of the same type is aggregated according to type information to generate response power information of multiple energy subsystems, including: aggregating response power information of multiple photovoltaic-storage-direct current-flexible devices to generate response power information of a photovoltaic-storage-direct current-flexible subsystem; aggregating response power information of multiple smart lighting devices to generate response power information of a smart lighting subsystem; aggregating response power information of multiple thermal storage electric boiler devices to generate response power information of a thermal storage electric boiler subsystem; and aggregating response power information of multiple ground source heat pump devices to generate response power information of a ground source heat pump subsystem.

[0010] According to an embodiment of this application, the above method further includes: in response to the initial power consumption regulation capacity information not meeting the target constraint conditions, adjusting the initial weights corresponding to multiple energy subsystems until the target constraint conditions are met to obtain the target weights; and generating target power consumption regulation capacity information for the target region based on the target weights and the response power information of multiple energy subsystems.

[0011] According to embodiments of this application, the above method further includes: obtaining current electricity transaction information and carbon emission factor information of the target area; and generating regulatory resource consumption information by processing the target electricity regulation capacity information, current electricity transaction information, and carbon emission factor information.

[0012] According to an embodiment of this application, in response to receiving an instruction to consent to the control of resource consumption information, feedback information indicating consent to control is sent to the distribution network; and the operating power of multiple energy devices is adjusted according to the power consumption strategy so that the multiple energy devices operate normally during the target control period.

[0013] This application also provides a device for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy equipment, including: a first acquisition module, a processing module, a first generation module, a second generation module, and a third generation module.

[0014] The first acquisition module is configured to, in response to receiving a power distribution regulation command from the power distribution network, acquire type information of multiple energy devices within the target area, the target power consumption regulation period, and historical load information of the multiple energy devices corresponding to the target power consumption regulation period. The processing module is configured to, according to the power consumption regulation capacity evaluation strategy corresponding to the type information, process the historical load information and the target power consumption regulation period of the multiple energy devices respectively, generating response power information of the multiple energy devices. The first generation module is configured to, according to the type information, aggregate the response power information of multiple energy devices of the same type to generate response power information of multiple energy subsystems. The second generation module is configured to, based on the response power information of multiple energy subsystems and the initial weights corresponding to the multiple energy subsystems, generate initial power consumption regulation capacity information for the target area. The third generation module is configured to, in response to the initial power consumption regulation capacity information satisfying the target constraints, generate a power consumption strategy for the target power consumption regulation period based on the response power information of the multiple energy devices, wherein the target constraints include power consumption safety constraints and carbon emission constraints for the target area.

[0015] This application also provides an electronic device, including: one or more processors; and a memory configured to store one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above-described method.

[0016] This application also provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the above-described method. Attached Figure Description

[0017] Figure 1 illustrates an application scenario of the method for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy devices according to an embodiment of this application.

[0018] Figure 2 shows a flowchart of a method for determining an electricity consumption strategy based on the electricity consumption regulation capability of multiple types of energy devices according to an embodiment of this application;

[0019] Figure 3 shows a flowchart of generating target power regulation capacity information of a target area according to an embodiment of this application;

[0020] Figure 4 shows a flowchart of determining the power consumption strategy of multiple energy devices based on the resource consumption control information according to an embodiment of this application;

[0021] Figure 5 shows a structural block diagram of a device for determining an electricity consumption strategy based on the electricity consumption regulation capability of multiple types of energy devices according to an embodiment of this application;

[0022] Figure 6 shows a block diagram of an electronic device for a method of determining power consumption strategy based on the power consumption regulation capability of multiple types of energy devices according to an embodiment of this application. Detailed Implementation

[0023] Hereinafter, embodiments of the present application will be described with reference to the accompanying drawings. These descriptions are exemplary only and are not intended to limit the scope of the present application. In the following description, numerous details are set forth to provide a thorough understanding of the embodiments of the present application for ease of explanation. However, one or more embodiments may be implemented without these details. Furthermore, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concepts of the present application.

[0024] The terminology used herein is for the purpose of describing embodiments only and is not intended to limit the scope of this application. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0025] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0026] When using expressions such as "at least one of A, B and C", they should generally be interpreted in accordance with the meaning that is commonly understood by those skilled in the art (e.g., "a system having at least one of A, B and C" should include systems having A alone, having B alone, having C alone, having A and B, having A and C, having B and C, and / or having A, B and C, etc.).

[0027] Electricity demand response is a flexible and rapid response mechanism that can impact electricity prices and system operation in the short term. With the accelerated advancement of integrated energy technologies and engineering projects, the trend towards energy diversification is becoming increasingly prominent, giving rise to integrated demand response based on electricity demand response. To ensure the reliability and flexibility of the integrated energy system in the target area's participation in dynamic grid regulation, it is necessary to model and perform hierarchical aggregation evaluation of the integrated energy system in the target area.

[0028] Currently, numerous assessment methods have been proposed for evaluating the regulation capacity of integrated energy systems in target areas. Among these, assessment methods based on optimal scheduling algorithms have been widely applied. For example, optimal scheduling strategies based on linear programming and dynamic programming are widely used in the scheduling and optimized operation of integrated energy systems in target areas. Furthermore, deep reinforcement learning algorithms and conducting practical operational experiments have also achieved certain results in assessing the regulation capacity of integrated energy systems in target areas.

[0029] Accurately assessing the regulation capabilities of differentiated energy equipment and networks in the target region is fundamental to supporting the dynamic regulation of the external power grid and optimizing the stable operation of the internal energy network within the target region's integrated energy system. However, the integrated energy system in the target region features numerous equipment types and diverse structures, with significant differences in equipment parameters under varying operating conditions and substantial variations in dynamic characteristics down to the minute level. Furthermore, the regulation capabilities and behavioral uncertainties among different equipment are coupled and constrained by multiple energy networks, including electricity, heat, and cooling. Assessing the regulation capabilities of integrated energy system equipment involves the coordination of regulation equipment across multiple time scales and granularities. Simultaneously, it is necessary to consider the diverse needs of local renewable energy consumption, external power grid regulation, and the green and low-carbon transformation of the energy system.

[0030] Therefore, the current method of simply superimposing different types of equipment for evaluation is insufficient to accurately assess reliable regulation capabilities. Furthermore, research on evaluating and aggregating the structural characteristics and regulation performance of different types of equipment in integrated energy systems at different levels, and combining this with the available electrical equipment in the target area to characterize evaluation standards at different levels, remains limited and cannot meet the minute-level dynamic control requirements of the power grid.

[0031] Based on this, it is necessary to conduct a hierarchical and aggregated assessment of the interaction effects and power regulation capabilities of each subsystem, taking into account local power grid security constraints, carbon constraints, structural characteristics of differentiated energy equipment, and the characteristics of energy networks coupled with different types of equipment.

[0032] In view of the above problems, embodiments of this application provide a method for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy devices. After receiving a power distribution regulation instruction from the distribution network, the method acquires the type information of multiple energy devices in the target area, the target power consumption regulation period, and the historical load information of each energy device corresponding to the target power consumption regulation period. It then generates response power information for each energy device and aggregates energy devices of the same type to generate response power information for each energy subsystem. This hierarchical aggregation and evaluation of differentiated energy devices and energy networks in the target area's integrated energy system reduces the interference of energy device type differences on the comprehensive power consumption regulation capability assessment. Finally, it generates initial power consumption regulation capability information for the target area that meets the target constraints, as well as a power consumption strategy for the target power consumption regulation period. This satisfies the minute-level dynamic control requirements of the distribution network and ensures the safe operation of energy devices in the target area during the power consumption regulation period of the distribution network.

[0033] Figure 1 illustrates an application scenario of the method for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy devices according to an embodiment of this application.

[0034] As shown in Figure 1, the application scenario 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105.

[0035] Network 104 is configured as a medium to provide a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. Network 104 may include various connection types, such as wired or wireless communication links or fiber optic cables, etc.

[0036] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 via the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social media platform software, etc. (for example only).

[0037] The first terminal device 101, the second terminal device 102, and the third terminal device 103 can be various electronic devices with displays and support web browsing, including smartphones, tablets, laptops, and desktop computers, etc.

[0038] Server 105 can be a server that provides various services, such as a backend management server that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103 (this is just an example). The backend management server can analyze and process data such as received user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal devices.

[0039] The method for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy devices provided in this application embodiment can generally be executed by server 105. Correspondingly, the device for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy devices provided in this application embodiment can generally be located in server 105. The method for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy devices provided in this application embodiment can also be executed by a server or server cluster that is different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105. Correspondingly, the device for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy devices provided in this application embodiment can also be located in a server or server cluster that is different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105.

[0040] The number of terminal devices, networks, and servers shown in Figure 1 is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and servers can be included.

[0041] The following will describe the method for determining power consumption strategy based on the power consumption regulation capability of multiple types of energy equipment, based on the scenario described in Figure 1, and with reference to Figures 2 to 4.

[0042] Figure 2 shows a flowchart of a method for determining an electricity consumption strategy based on the electricity consumption regulation capability of multiple types of energy devices according to an embodiment of this application.

[0043] As shown in Figure 2, the method 200 for determining power consumption strategy based on the power consumption regulation capability of multiple types of energy equipment in this embodiment includes operations S210 to S250.

[0044] In operation S210, in response to receiving a power distribution regulation command from the power distribution network, the system acquires type information of multiple energy devices within the target area, the target power consumption regulation period, and historical load information of each energy device corresponding to the target power consumption regulation period. The energy device may include at least one.

[0045] Load information refers to the set of data related to the past operation of multiple energy devices collected and analyzed by the system after receiving control commands from the distribution network, in order to assess the regulation capacity of these devices within the target area. It can be considered to include the following aspects: 1. Historical power data of the equipment: such as historical load curves and power change trends; 2. Equipment operating status parameters: such as historical data of photovoltaic power generation, historical data of energy storage systems, and historical data of vehicle-to-grid (V2G) charging piles, etc.; 3. Equipment regulation characteristic data: such as whether the equipment is allowed to operate for short periods, whether the equipment load can be shifted over time, and the response time of equipment regulation; 4. Time and environment corresponding data: such as meteorological data and electricity consumption scenarios (weekdays, holidays, peak / off-peak periods).

[0046] In operation S220, based on the evaluation strategy of each power regulation capacity corresponding to the type information, the historical load information and target power regulation period of each energy device are processed respectively to generate the response power information of each energy device.

[0047] An evaluation strategy refers to a set of pre-designed mathematical calculation rules based on the operating principles of a specific type of electrical equipment. These rules take the equipment's historical operating data and external control requirements as input, and through calculation, output a quantified and actionable value for power regulation capability. In short, it's a calculation method that takes historical load information and external control information as input and outputs response power information.

[0048] In operation S230, the response power information of various energy devices of the same type is aggregated according to the type information to generate the response power information of each energy subsystem. An energy subsystem may include at least one.

[0049] In operation S240, the initial power regulation capacity information of the target area is generated based on the response power information of each energy subsystem and the initial weights corresponding to each energy subsystem.

[0050] In operation S250, in response to the initial power consumption regulation capacity information satisfying the target constraint conditions, a power consumption strategy for the target power consumption regulation period is generated based on the response power information of each energy device.

[0051] Electricity consumption strategy is a specific, executable set of dispatch instructions. It is the final operational plan generated after the preliminary assessment results have been verified. It has the following characteristics: 1. It is neither assessment data nor theoretical value, but a set of explicit operational instructions. 2. It clearly specifies the operational details for each specific energy device participating in regulation within the target area during the target electricity consumption regulation period (starting from time t, duration D).

[0052] According to an embodiment of this application, the power distribution regulation command is issued by the power distribution network, for example, "At time t, perform power consumption regulation operation, with a regulation duration of 1 hour".

[0053] Currently, the energy grid in the target area generally consists of photovoltaic-storage direct-drive and flexible systems, ground-source heat pump systems, thermal storage electric boiler systems, photovoltaic power generation systems, solar water heating systems, base-mounted chillers, ice storage systems, solar air conditioning systems, and intelligent lighting systems. Among these, the subsystems with significant potential for dynamic and rapid regulation and difficult to quantify and assess are mainly photovoltaic-storage direct-drive and flexible systems, intelligent lighting systems, thermal storage electric boiler systems, and ground-source heat pump systems. Therefore, the type information of multiple energy devices in the target area in this application includes photovoltaic-storage direct-drive and flexible devices, intelligent lighting devices, thermal storage electric boiler devices, and ground-source heat pump devices.

[0054] The target power consumption adjustment period includes the target power consumption adjustment time and the target power consumption adjustment duration.

[0055] Historical load information for each energy device corresponding to the target power consumption adjustment period includes historical load information for each photovoltaic-storage-DC-flexible energy storage device, each lighting device, each thermal storage electric boiler device, and each local source heat pump device. This information is used to generate response power information for each energy device. By collecting historical load monitoring data from the devices, historical load curves can be established, allowing for analysis of the devices' power consumption patterns and load characteristics. Using the historical load information corresponding to the target power consumption adjustment period, the power of each energy device can be calculated. Furthermore, the historical load information for each energy device helps identify its interruptibility and transferability characteristics, thereby determining the interruption and transferability intervals, i.e., determining the target power consumption adjustment time and duration.

[0056] The evaluation strategies for each type of power regulation capability include those for photovoltaic-storage-direct-flexible devices, smart lighting devices, thermal storage electric boiler devices, and ground source heat pump devices. Based on these evaluation strategies, the historical load information and target power regulation periods of each energy device are processed to generate response power information for each energy device.

[0057] In order to evaluate the structural characteristics and regulation performance of different types of equipment in an integrated energy system at different levels, the response power information of energy equipment of the same type is aggregated to generate the response power information of each energy subsystem, thereby realizing the hierarchical aggregated evaluation of differentiated energy equipment and energy networks in the target area's integrated energy system.

[0058] The initial weights for each energy subsystem are initial setting parameters that can be adjusted according to the target constraints, for example, 0.2, 0.3, 0.6, etc. The initial power regulation capacity information for the target area represents the adjustable power information of each energy device in the operating state of each energy subsystem.

[0059] The target constraints include electricity safety constraints and carbon emission constraints for the target area. When the initial electricity regulation capacity information meets the target constraints, electricity regulation is carried out during the target electricity regulation period based on the response power information of each energy device at that time.

[0060] According to the embodiments of this application, after receiving the power distribution regulation instruction from the power distribution network, the type information of multiple energy devices in the target area, the target power consumption regulation period, and the historical load information of each energy device corresponding to the target power consumption regulation period are obtained. The response power information of each energy device is generated. By aggregating energy devices of the same type, the response power information of each energy subsystem is generated. The differentiated energy devices and energy networks of the integrated energy system in the target area are evaluated in a hierarchical aggregated manner, which reduces the interference of the difference in energy device types on the evaluation of the integrated power consumption regulation capability. Finally, the initial power consumption regulation capability information of the target area that meets the target constraints and the power consumption strategy for the target power consumption regulation period are generated, which meets the dynamic control requirements of the power distribution network at the minute level and can ensure the safe operation of energy devices in the target area during the power consumption regulation period of the power distribution network.

[0061] According to embodiments of this application, based on evaluation strategies for the power regulation capabilities corresponding to type information, historical load information and target power regulation periods for each energy device are processed to generate response power information for each energy device, including: determining the target power regulation duration based on the target power regulation period; generating response power information for each photovoltaic-storage-direct-drive-flexible device by processing the target power regulation duration and historical load information of each photovoltaic-storage-direct-drive-flexible device based on evaluation strategies corresponding to photovoltaic-storage-direct-drive-flexible devices; generating response power information for each smart lighting device by processing the target power regulation duration and historical load information of each lighting device based on evaluation strategies corresponding to smart lighting devices; generating response power information for each thermal storage electric boiler device by processing the target power regulation duration and historical load information of each thermal storage electric boiler device based on evaluation strategies corresponding to thermal storage electric boiler devices; and generating response power information for each ground source heat pump device by processing the target power regulation duration and historical load information of each ground source heat pump device based on evaluation strategies corresponding to ground source heat pump devices. The photovoltaic-storage-flexible device may include at least one, the intelligent lighting device may include at least one, the thermal storage electric boiler device may include at least one, and the ground source heat pump device may include at least one.

[0062] According to the embodiments of this application, considering the mutual influence between individual devices during operation and adjustment, the adjustment capabilities of each device are first evaluated in a hierarchical and quantitative manner, and the power consumption adjustment capabilities of each device are evaluated at the device level.

[0063] Based on the evaluation strategies corresponding to the photovoltaic-storage-DC-flexible (PV-SES) devices, the response power information of each device is calculated. The PV-SESES-DC-flexible system is an integrated power system combining photovoltaic power generation, energy storage systems, DC power distribution technology, and flexible power utilization technology. By configuring this system, the target area can achieve efficient utilization of renewable energy while simultaneously improving the stability and flexibility of the power system. The PV-SESES-DC-flexible system includes a photovoltaic power generation system, an energy storage system, and V2G charging stations.

[0064] Photovoltaic power generation is a technology that uses the photovoltaic effect to directly convert solar energy into electrical energy. A photovoltaic power generation system mainly consists of photovoltaic modules, inverters, battery storage, and a support system. The photovoltaic modules convert sunlight into direct current (DC), and the inverter converts the DC into alternating current (AC) for use in the target area. When the target area participates in grid regulation, the power calculation of photovoltaic power generation is shown in the following formulas (1) and (2):

[0065] (1)

[0066] (2)

[0067] Among them, P pv (t) represents photovoltaic power generation, kW; G represents solar radiation intensity, kW / m²; A represents the effective area of ​​the photovoltaic panel, m²; η represents the conversion efficiency of the photovoltaic panel; P pv,max R represents the maximum photovoltaic power generation capacity (kW); D represents the target power consumption regulation duration (s); t represents the target power consumption regulation time; pv (t,D) represents the average power of photovoltaic power generation within the target power consumption regulation period D, in kW.

[0068] The charging and discharging process of an energy storage system is its core function, determining its effectiveness in grid regulation, renewable energy integration, and backup power. When the target area participates in grid regulation, the energy storage power is calculated as shown in formulas (3), (4), and (5) below:

[0069] (3)

[0070] (4)

[0071] (5)

[0072] Among them, P b,c (t) represents the charging power of the energy storage system, kW; P b,d (t) represents the discharge power of the energy storage system, in kW; P b,c,max P represents the maximum charging power of the energy storage system, expressed in kW. b,d,max P represents the maximum discharge power of the energy storage system, expressed in kW. load (t) represents the load power at time t, in kW; R b (t,D) represents the average power of the energy storage system during the target power regulation period D, in kW.

[0073] The dynamic equation for battery capacity is shown in the following formula (6):

[0074] (6)

[0075] Among them, E b (t) represents stored energy, kWh; η b,c Battery charging efficiency, kW; η b,d For battery discharge efficiency, kW; Q loss (t) represents the heat loss of the energy storage system at time t, in kW.

[0076] V2G charging piles are an advanced form of electric vehicle charging system, allowing electric vehicles to not only charge from the grid but also feed stored energy back to the grid. This bidirectional charging technology not only contributes to grid stability but also provides additional benefits to electric vehicle owners. When the target area participates in grid regulation, the charging and discharging power of the charging piles is calculated as shown in the following formulas (7), (8), and (9):

[0077] (7)

[0078] (8)

[0079] (9)

[0080] Among them, P c (t) represents the power (kW) that the charging station provides to the electric vehicle; P d (t) represents the power discharged by the electric vehicle to the power grid, in kW; P c,max This indicates the maximum charging power (kW) of the charging station for electric vehicles; P d,max P represents the maximum discharge power of an electric vehicle to the power grid, expressed in kW. v2g,charge (t) represents the vehicle's allowed charging power at time t, in kW; P v2g,discharge (t) represents the vehicle's permissible discharge power at time t, in kW; RV2G (t,D) represents the average power of the charging pile within the target power consumption adjustment period D, in kW.

[0081] Combining photovoltaic power generation, energy storage system and V2G system, the comprehensive regulation capacity of photovoltaic-storage-DC-flexible equipment is calculated, and its comprehensive power regulation power is calculated as shown in the following formula (10):

[0082] (10)

[0083] Intelligent lighting systems can intelligently adjust lighting intensity and usage time, extending equipment lifespan while achieving energy conservation and consumption reduction. Based on the evaluation strategy corresponding to intelligent lighting equipment, the response power information of each intelligent lighting equipment is generated by processing the target power consumption adjustment duration and the historical load information of each lighting equipment. When the target area participates in grid regulation, the power calculation method of intelligent lighting equipment is shown in the following formulas (11) and (12):

[0084] (11)

[0085] (12)

[0086] Among them, P light (t) represents the lighting power at time t, in kW; P light,max D indicates the maximum power of the lamp, in kW; light (t) represents the lighting demand at time t, in kW; L current (t) represents the actual light intensity at time t, in lm; L max The maximum luminous intensity of a lamp is expressed in lm (F). demand (t) represents the demand response coefficient (dimensionless) at time t, indicating the degree of grid load response; F schedule (t) represents the time scheduling factor at time t (dimensionless), for example, 1 during working hours and 0.5 during idle hours; R light (t,D) represents the average power of the intelligent lighting device during the target power consumption adjustment period D, in kW.

[0087] System demand response power refers to the power output that adjusts the overall system demand to respond to the real-time status and demand changes of the power grid, thereby optimizing grid operation and improving system stability. When the target area participates in grid regulation, the demand response power adjustment is shown in the following formula (13):

[0088] (13)

[0089] Among them, P demand_response (t, D) represents the demand response power at time t, in kW; Pcurrent (t) represents the actual lighting power at time t, in kW.

[0090] Time-based power scheduling refers to optimizing power consumption and reducing costs by adjusting power usage at different times based on changes in power demand and electricity prices in the target area. When the target area participates in grid regulation, the time-based power scheduling of the intelligent lighting system is shown in the following formula (14):

[0091] (14)

[0092] Among them, P schedule_adjusted (t, D) represents the power adjusted according to time scheduling at time t, in kW.

[0093] A thermal storage electric boiler system is a heating system that uses electricity to heat and store heat for release when needed. This system is particularly suitable for load balancing and energy saving during periods of unstable power supply or peak electricity prices. Based on the evaluation strategy corresponding to the thermal storage electric boiler equipment, the response power information of each thermal storage electric boiler equipment is generated by processing the target power regulation duration and the historical load information of each thermal storage electric boiler equipment. When the target area participates in grid regulation, the power and thermal storage capacity of the thermal storage electric boiler equipment are shown in the following formulas (15), (16), and (17):

[0094] (15)

[0095] (16)

[0096] (17)

[0097] Among them, P boiler (t) represents the power of the electric boiler at time t, in kW; P boiler,max P represents the boiler's maximum power output, expressed in kW. demand (t) represents the heat load demand of the electric boiler, in kW; T target T represents the desired indoor temperature in degrees Celsius. env (t) represents the ambient temperature at time t, in degrees Celsius; C load Indicates load heat capacity, kWh / degree; η boiler E represents the boiler's thermal efficiency. boiler (t) represents the heat storage at time t, in kWh; R boiler (t,D) represents the average power of the thermal storage electric boiler equipment within the target power consumption adjustment period D, in kW.

[0098] Ground source heat pumps utilize the stable temperature of shallow soil or groundwater for heating and cooling, making them a highly efficient heating and cooling system. Based on the evaluation strategy corresponding to the ground source heat pump equipment, the response power information of each ground source heat pump equipment is generated by processing the target power regulation duration and the historical load information of each equipment. When the target area participates in grid regulation, the power calculation of the ground source heat pump equipment is shown in the following formulas (18), (19), (20), and (21):

[0099] (18)

[0100] (19)

[0101] (20)

[0102] (twenty one)

[0103] Among them, Q demand (t) represents the heat load demand at time t, in kW; C load The load heat capacity is expressed in kWh / degree; ΔT(t) represents the temperature difference between the target temperature and the ambient temperature at time t, in degrees Celsius; COP(T) represents the load heat capacity. env (t),T out (t) represents the coefficient of performance of the heat pump; P pump (t) represents the electrical power of the heat pump at time t, in kW; P pump,max R represents the maximum power of the heat pump, in kW; pump (t,D) represents the average power of the ground source heat pump equipment during the target electricity consumption regulation period D, in kW; T env (t) represents the ambient temperature at time t, in degrees Celsius; T out (t) represents the heat pump output temperature at time t, in degrees Celsius.

[0104] The dynamic thermal storage capacity is shown in the following formula (22):

[0105] (twenty two)

[0106] Among them, E pump (t) represents the heat stored at time t, in kWh; η pump Indicates heat pump efficiency; Q loss,pump (t) represents the heat loss at time t, in kW.

[0107] According to embodiments of this application, based on the evaluation strategy of each power regulation capability corresponding to the type information, the target power regulation duration, and the historical load information of each energy device, the response power information of each photovoltaic-storage-DC-flexible device, each smart lighting device, each thermal storage electric boiler device, and each local source heat pump device is processed and generated. This enables the evaluation of the power regulation capability of each device at the device level, quantifies the regulation capability of different types of devices, and accurately evaluates the regulation capability of differentiated energy devices and energy networks in the target area, so as to obtain a power strategy for the target power regulation period.

[0108] According to embodiments of this application, the response power information of each photovoltaic-storage-direct-drive-flexible device, the response power information of each smart lighting device, the response power information of each thermal storage electric boiler device, and the response power information of each local source heat pump device are displayed through a visual interface.

[0109] According to embodiments of this application, since the regulation capabilities of each energy device in the target area differ under different target power consumption regulation times and durations, a visualization interface is used to display the response power information of each energy device, thereby demonstrating the performance of the subsystem composed of each energy device under different configurations. The visualization interface is implemented using a three-dimensional regulation capability surface, which is a three-dimensional surface plot drawn with the target power consumption regulation time, target power consumption regulation duration, and response power of each energy device as variables.

[0110] The three-dimensional regulation capability surface of a photovoltaic-storage-direct-source-flexible system involves the comprehensive regulation capability of photovoltaic power generation, energy storage system, and V2G system. This is crucial when selecting an appropriate photovoltaic power generation capacity (R0). pv (t)), energy storage system power (R) b ) and V2G charging and discharging power (R V2G Based on the target power consumption adjustment time, target power consumption adjustment duration, and comprehensive power consumption adjustment power of photovoltaic-storage-DC-flexible equipment, the following parameters are considered: Using variables, plot the three-dimensional adjustment capability surface of the optical storage direct-flexible system.

[0111] The three-dimensional adjustment capability surface of intelligent lighting equipment involves lighting intensity (L) and time scheduling factor (F). schedule ), and demand response coefficient (F) demand (t) and other parameters, based on the selection of an appropriate parameter range, and taking into account the target power consumption adjustment time, target power consumption adjustment duration, and power P after time scheduling adjustment. schedule_adjusted Using (t, D) as variables, plot the three-dimensional adjustment capability surface of the intelligent lighting system.

[0112] The three-dimensional adjustment capability surface of the thermal storage electric boiler equipment involves the thermal storage state E(t) and the ambient temperature T. env (t), and the power of the electric boiler P boilerBased on parameters such as (t), and after selecting an appropriate parameter range, the target power consumption adjustment time, target power consumption adjustment duration, and power R of the thermal storage electric boiler system are considered. boiler Using (t,D) as variables, plot the three-dimensional adjustment capability surface of the thermal storage electric boiler system.

[0113] The three-dimensional regulation capability surface of a ground source heat pump system involves the ambient temperature T. env (t), heat pump output temperature T out (t), and actual power P pump (t) and other parameters, based on selecting an appropriate parameter range, take into account the target power consumption adjustment time, target power consumption adjustment duration, and ground source heat pump system power R. pump Using (t,D) as variables, plot the three-dimensional adjustment capability surface of the ground source heat pump system.

[0114] According to the embodiments of this application, by drawing a three-dimensional regulation capability surface, the response power information of each photovoltaic-storage-flexible device, each smart lighting device, each thermal storage electric boiler device, and each local source heat pump device is visualized. The performance of each device under different regulation requirements is clearly and concisely displayed, thereby providing data support for power grid regulation and helping to quantify the regulation capabilities of different types of devices in order to obtain power consumption strategies for target power consumption regulation periods.

[0115] According to embodiments of this application, the response power information of various energy devices of the same type is aggregated according to type information to generate response power information of various energy subsystems, including: aggregating the response power information of various photovoltaic-storage-direct current-flexible devices to generate response power information of a photovoltaic-storage-direct current-flexible subsystem; aggregating the response power information of various smart lighting devices to generate response power information of a smart lighting subsystem; aggregating the response power information of various thermal storage electric boiler devices to generate response power information of a thermal storage electric boiler subsystem; and aggregating the response power information of various ground source heat pump devices to generate response power information of a ground source heat pump subsystem.

[0116] After stratified quantitative assessment of the regulation capacity of each device, considering the mutual influence between subsystems formed by energy devices of the same type, the regulation capacity of subsystems formed by energy devices of the same type is assessed by aggregating the response power information of energy devices of the same type.

[0117] The power of each energy device of the same type is summed to calculate the regulation capacity of the subsystem formed by the energy devices.

[0118] The tuning capability of the optical-storage direct-drive flexible system is shown in the following formula (23):

[0119] (twenty three)

[0120] Among them, P storage,total (t, D) represents the regulation capability of the optical-storage-direct-flex system at time t, in kW.

[0121] The adjustment capability of the intelligent lighting subsystem is shown in the following formula (24):

[0122] (twenty four)

[0123] Among them, P schedule,total (t, D) represents the overall regulating capacity at time t, in kW; P schedule_adjusted,i (t, D) represents the power of the i-th smart lighting device at time t after time scheduling, in kW.

[0124] The regulating capacity of the thermal storage electric boiler subsystem is shown in the following formula (25):

[0125] (25)

[0126] Among them, P boiler,total (t, D) represents the regulating capacity of the thermal storage electric boiler subsystem at time t, in kW; R boiler，i (t, D) represents the average power of the i-th thermal storage electric boiler at time t within the control duration D, in kW.

[0127] The regulation capacity of the ground source heat pump subsystem is shown in the following formula (26):

[0128] (26)

[0129] Among them, P pump,total (t, D) represents the regulation capacity of the ground source heat pump subsystem at time t, in kW; R pump，i (t, D) represents the average power of the i-th ground source heat pump device at time t within the target power consumption regulation period D, in kW.

[0130] According to the embodiments of this application, by aggregating the response power information of various photovoltaic-storage-flexible photovoltaic devices, smart lighting devices, thermal storage electric boiler devices, and local source heat pump devices of the same type, response power information of each energy subsystem is generated. At the subsystem level, the regulation capability of the subsystem is quantitatively evaluated, improving the reliability and flexibility of the target area's participation in the dynamic regulation of the power grid. This yields electricity consumption strategies for the target electricity consumption regulation period, accurately assesses the regulation capability of differentiated energy devices and energy networks in the target area, and ensures the safe operation of energy devices in the target area during the electricity consumption regulation period of the distribution network. A hierarchical evaluation index system for the comprehensive energy system of the target area, oriented towards the minute-level dynamic regulation needs of the power grid, is established.

[0131] Figure 3 shows a flowchart of generating target power regulation capacity information for a target area according to an embodiment of this application.

[0132] As shown in Figure 3, the method 300 for generating target power regulation capacity information of the target area in this embodiment includes operations S301 to S305.

[0133] In operation S301, the initial power regulation capacity information of the target area is generated based on the response power information of each energy subsystem and the initial weights corresponding to each energy subsystem.

[0134] In operation S302, it is determined whether the initial power regulation capacity information meets the target constraints. If the determination result is yes, operation S304 is executed; if the determination result is no, operation S303 is executed.

[0135] In operation S303, the initial weights of each energy subsystem are adjusted so that the initial power regulation capacity information meets the target constraints, and then the process returns to execution operation S301.

[0136] In operation S304, the target weight is determined.

[0137] In response to the initial power consumption regulation capacity information not meeting the target constraint, the initial weights of each energy subsystem are adjusted until the target constraint is met, thus obtaining the target weights.

[0138] In operation S305, target power regulation capacity information for the target area is generated based on the target weight and the response power information of each energy subsystem.

[0139] According to embodiments of this application, the initial weights corresponding to each energy subsystem represent the contribution of each energy subsystem to the adjustable power of the energy equipment in the target area.

[0140] Because target areas typically contain differentiated energy devices and multiple types of energy networks, their electricity demand is usually very complex. Coordinating the electricity regulation capacity at the target area level is crucial for ensuring the stability of the external power grid supply and the efficient operation of the internal system. Determining the initial electricity regulation capacity information for the target area aims to quantitatively assess the regulation capacity of the entire target area from this level.

[0141] Based on the response power information of each energy subsystem and the initial weights corresponding to each energy subsystem, the initial power regulation capacity information of the target area is generated, as shown in the following formula (27):

[0142] (27)

[0143] Where α, β, γ, and δ represent weighting coefficients, used to adjust the contribution of each system to the objective function.

[0144] Safety constraints play a crucial role in assessing the power regulation capacity of integrated energy systems, aiming to ensure that the system can meet energy demand while maintaining grid stability. These constraints cover key aspects such as upper and lower limits of grid power, and upper and lower limits of grid voltage and frequency. By integrating these constraints into the assessment model, it can be ensured that the system will not exceed the grid's carrying capacity during actual operation, thereby effectively preventing the risk of power shortages or overloads. This comprehensive consideration helps to achieve optimal energy allocation and load balancing, enhances system flexibility and reliability, and ultimately improves the overall security and stability of the power grid.

[0145] When participating in the dynamic regulation of the power grid in the target area, the voltage and frequency changes of the power grid are shown in the following formulas (28) and (29):

[0146] (28)

[0147] (29)

[0148] Wherein, V0 represents the reference voltage of the power grid, which is usually the voltage value under normal operating conditions, in V; f0 represents the reference frequency of the power grid, which is usually the frequency value under normal operating conditions, in Hz; k1 represents the sensitivity coefficient of load change on voltage; k2 represents the sensitivity coefficient of load change on frequency; V represents the voltage of the power grid after the target area participates in regulation, in V; and f represents the frequency of the power grid after the target area participates in regulation, in Hz.

[0149] The adjustable power supply capacity of the target area needs to meet the following power safety constraints, as shown in formulas (30), (31), and (32):

[0150] (30)

[0151] (31)

[0152] (32)

[0153] Among them, V min This indicates the minimum allowable voltage value of the power grid, in V; V max Indicates the maximum permissible voltage value of the power grid, in V; f minIndicates the minimum permissible frequency value of the power grid, in Hz; f max Indicates the highest permissible frequency value of the power grid, in Hz; P min P represents the minimum allowable power channel value of the power grid, in kW; max P represents the maximum allowable power channel value of the power grid, in kW; base This indicates the load power of the target area under baseline conditions, typically referring to the average load under normal operating conditions, expressed in kW.

[0154] Currently, my country's green and low-carbon energy transition is accelerating. Flexible adjustment of electricity demand in target regions, while considering carbon constraints, is crucial for building a new power system and enhancing the "green" attributes of electricity. The impact of carbon constraints on the comprehensive power regulation capacity of target regions is multifaceted. First, carbon constraint policies promote the optimization of the energy structure in target regions and drive the utilization of renewable energy, thereby improving overall power regulation capacity. Second, these constraints incentivize target regions to implement efficient energy management and demand-side response strategies to cope with power load fluctuations. Furthermore, carbon emission constraints also prompt target regions to enhance the flexibility and intelligence of their power systems, ultimately improving their sustainable development capabilities. Therefore, carbon constraints are not only a necessary means of environmental protection but also a key driving force for optimizing power regulation capacity in target regions.

[0155] Therefore, this application will conduct a tiered and aggregated assessment of the integrated energy system of the target region, taking into account the carbon constraints of the target region. The carbon emission constraints of the target region are shown in the following formula (33):

[0156] (33)

[0157] Where K(t) represents the total carbon emissions at time t (kg CO2); C i The carbon emission factor for the i-th energy source is expressed as kg CO2 / kWh, representing the carbon emissions generated per unit of energy consumed; f i (t,D) represents the adjustable power (kW) of the i-th type of load after weighting, under the conditions of time t and control time D; K max This indicates the carbon emission cap (kg CO2) set for the target area.

[0158] According to the embodiments of this application, when the initial power regulation capacity information does not meet the above-mentioned power safety constraints and carbon emission constraints, the initial weights corresponding to each energy subsystem are adjusted until all target constraints are met, and the target weights that meet the constraints are obtained; and the target power regulation capacity information of the target area is generated based on the target weights and the response power information of each energy subsystem to determine the power regulation strategy of the target area.

[0159] For example, setting initial weights α, β, γ, and δ to 0.1, 0.6, 0.4, and 0.5 respectively, and generating initial power regulation capacity information f(t,D) for the target area based on the response power information of each energy subsystem, the obtained f(t,D) value is then substituted into the aforementioned power safety constraints and carbon emission constraints for calculation. In the calculation results, the voltage V and frequency f of the obtained power grid meet the threshold range, while the total carbon emissions K are greater than the threshold K. max At this point, the weighting coefficients are adjusted accordingly. For example, weight values ​​that meet the constraints can be rematched from the historical database, and the initial weights α, β, γ, and δ can be adjusted to 0.2, 0.6, 0.3, and 0.7, respectively. The calculated results then all satisfy the constraints, resulting in target weights of α=0.2, β=0.6, γ=0.3, and δ=0.7. Based on the target weights and the response power information of each energy subsystem, target power regulation capacity information for the target area is generated to determine the power regulation strategy for the target area, i.e., adjusting the operating power of each energy device to the target power value.

[0160] According to embodiments of this application, by setting weighting coefficients, the regulatory capacity of each energy subsystem in the target area on the entire system can be effectively quantified. By integrating electricity safety constraints and carbon emission constraints into the evaluation model, when electricity safety constraints and carbon emission conditions are not met, the weighting coefficients are adjusted to meet the constraints, thereby determining the electricity regulation strategy. This ensures the safe and stable operation of the system during actual operation and promotes the optimization of the energy structure in the target area. This comprehensive and flexible regulation strategy helps to achieve optimal energy allocation and load balance, enhances the flexibility and reliability of the system, and ensures the safe operation of energy equipment in the target area during the electricity regulation period of the distribution network. This enables the reasonable construction of a hierarchical evaluation index system for the comprehensive energy system in the target area that meets the minute-level dynamic control needs of the power grid.

[0161] Figure 4 shows a flowchart of determining the power consumption strategy of each energy device based on the resource consumption information of regulation according to an embodiment of this application.

[0162] As shown in Figure 4, the method 400 for determining the power consumption strategy of each energy device based on the information on the regulation of resource consumption in this embodiment includes operations S401 to S406.

[0163] In operation S401, obtain the current electricity transaction information and carbon emission factor information of the target area.

[0164] In operation S402, target power regulation capacity information, current power transaction information, and carbon emission factor information are processed to generate regulatory resource consumption information.

[0165] In operation S403, it is determined whether to agree to the received instruction to regulate resource consumption. If the determination result is yes, operation S404 is executed; if the determination result is no, operation S406 is executed.

[0166] In operation S404, feedback information is sent to the distribution network to indicate agreement to accept regulation.

[0167] When operating S405, adjust the operating power of each energy device according to the power consumption strategy so that each energy device can operate normally during the target adjustment period.

[0168] When operating S406, the operating power of each energy device is not adjusted during the target adjustment period.

[0169] In response to receiving an agreement instruction regarding the controlled resource consumption information, the system sends feedback information to the distribution network to indicate agreement to accept control; and adjusts the operating power of each energy device according to the power consumption strategy so that each energy device operates normally during the target power consumption control period.

[0170] According to an embodiment of this application, the electricity transaction information includes the electricity unit price, which corresponds to different electricity prices at different times, and the carbon emission factor information is a known input parameter and is a fixed value.

[0171] The regulation resource consumption information represents the regulation cost required to execute the regulation operation after receiving the distribution network regulation command. The calculation method for regulation resource consumption information is shown in the following formulas (34), (35), and (36):

[0172] (34)

[0173] (35)

[0174] (36)

[0175] Among them, C energy Represents energy cost, calculating the energy expenses incurred in the target area for charging and discharging during the regulation process; C price This indicates the unit price of electricity, representing the cost per kilowatt-hour; C carbon This represents the cost of carbon emissions, calculating the expenses incurred by carbon emissions generated in the target region during the regulation process; F carbon C represents the carbon emission factor, indicating the carbon emissions per unit of electricity; control This represents the total control cost, which includes all expenses incurred by the target region in supporting power grid control.

[0176] Regulating resource consumption directly affects the economic incentives, energy choices, strategic flexibility, and carbon emission management of target regions participating in grid dynamic regulation. Reducing regulation costs and optimizing policies and technical support are crucial to improving the enthusiasm of target regions to participate in grid regulation.

[0177] Therefore, during the actual operation and adjustment of the target area system, based on the above calculation formula, control resource consumption information is generated. According to the actual operation of the target area, it is determined whether to agree to execute the control resource consumption information instruction. When the control resource consumption information instruction meets the expected conditions, feedback information indicating agreement to accept control is sent to the distribution network. At the same time, the operating power of each energy device is adjusted according to the power consumption strategy. When the control resource consumption information instruction does not meet the expected conditions, feedback information indicating disagreement to accept control is sent to the distribution network. Each energy device does not adjust its operating power during the target adjustment period.

[0178] According to embodiments of this application, considering local power grid security constraints and target area carbon constraints, it is also necessary to consider resource consumption resulting from adjustments to the operating status of each energy device according to the control strategy. By incorporating the economic assessment of resource consumption constraints into the hierarchical aggregation assessment method of power supply adjustability, it helps to increase the enthusiasm of the target area to participate in power grid control, while improving the flexibility and reliability of the method for determining power supply strategies based on the power supply adjustment capabilities of multiple types of energy devices.

[0179] The process of determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy equipment is as follows:

[0180] The regulation capabilities of different types of equipment are assessed based on the structural parameters and historical load information of various energy equipment systems in the target area. The power regulation capabilities of subsystems composed of individual types of equipment are evaluated, and the multi-type energy equipment in the target area is quantified and segmented for assessment. The subsystems are then coordinated and aggregated. Considering local power grid security constraints and carbon constraints in the target area, the power regulation capabilities of the integrated energy system in the target area are assessed. The resource consumption of different regulation capacity control strategies is evaluated to provide a reference for users in the target area to select regulation strategies.

[0181] The evaluation model constructed using the above methods comprehensively considers factors such as renewable energy dispatch, grid carbon emissions, load regulation capacity, and energy efficiency improvement. By evaluating the electricity regulation capacity of the target region using these methods, it is possible to measure the comprehensive control capability of the target region's integrated energy system to flexibly adjust electricity consumption to support dynamic changes in the external grid while ensuring the safety of the local power grid and reducing carbon emissions.

[0182] Based on the above-described method for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy equipment, this application also provides an apparatus for determining power consumption strategies based on the power consumption regulation capabilities of multiple types of energy equipment. The apparatus will be described below with reference to Figure 5.

[0183] Figure 5 shows a structural block diagram of an apparatus for determining an electricity consumption strategy based on the electricity consumption regulation capability of multiple types of energy devices according to an embodiment of this application.

[0184] As shown in Figure 5, the device 500 for determining power consumption strategy based on the power consumption regulation capability of multiple types of energy equipment in this embodiment includes a first acquisition module 510, a processing module 520, a first generation module 530, a second generation module 540 and a third generation module 550.

[0185] The first acquisition module 510 is configured to, in response to receiving a power distribution regulation command from the power distribution network, acquire type information of multiple energy devices within the target area, the target power consumption regulation period, and historical load information of each energy device corresponding to the target power consumption regulation period. In one embodiment, the first acquisition module 510 may be configured to perform the operation S210 described above, which will not be repeated here.

[0186] The processing module 520 is configured to process the historical load information and target power regulation period of each energy device according to the evaluation strategy of each power regulation capacity corresponding to the type information, and generate the response power information of each energy device. In one embodiment, the processing module 520 may be configured to perform the operation S220 described above, which will not be repeated here.

[0187] The first generation module 530 is configured to aggregate the response power information of various energy devices of the same type according to type information to generate the response power information of each energy subsystem. In one embodiment, the first generation module 530 may be configured to perform the operation S230 described above, which will not be repeated here.

[0188] The second generation module 540 is configured to generate initial power regulation capacity information for the target area based on the response power information of each energy subsystem and the initial weights corresponding to each energy subsystem. In one embodiment, the second generation module 540 may be configured to perform the operation S240 described above, which will not be repeated here.

[0189] The third generation module 550 is configured to generate an electricity consumption strategy for the target electricity consumption period based on the response power information of each energy device in response to the initial electricity consumption regulation capacity information meeting the target constraints. The target constraints include electricity safety constraints and carbon emission constraints for the target area. In one embodiment, the third generation module 550 may be configured to execute the operation S250 described above, which will not be repeated here.

[0190] According to embodiments of this application, the processing module includes a first determining submodule, a first generating submodule, a second generating submodule, a third generating submodule, and a fourth generating submodule.

[0191] The first determination submodule is configured to determine the target power consumption adjustment duration based on the target power consumption adjustment period. The first generation submodule is configured to generate response power information for each photovoltaic-storage-direct current-flexible energy storage (PV-SHU-DC-Flex) device by processing the target power consumption adjustment duration and historical load information of each PV-SHU-DC-Flex device, based on the evaluation strategy corresponding to the PV-SHU-Flex device. The second generation submodule is configured to generate response power information for each smart lighting device by processing the target power consumption adjustment duration and historical load information of each lighting device, based on the evaluation strategy corresponding to the smart lighting device. The third generation submodule is configured to generate response power information for each thermal storage electric boiler device by processing the target power consumption adjustment duration and historical load information of each thermal storage electric boiler device, based on the evaluation strategy corresponding to the thermal storage electric boiler device. The fourth generation submodule is configured to generate response power information for each ground source heat pump device by processing the target power consumption adjustment duration and historical load information of each ground source heat pump device, based on the evaluation strategy corresponding to the ground source heat pump device.

[0192] According to an embodiment of this application, the above-mentioned device further includes: a visualization display module, configured to display the response power information of each photovoltaic-storage-direct current-flexible device, the response power information of each smart lighting device, the response power information of each thermal storage electric boiler device, and the response power information of each local source heat pump device through a visualization interface.

[0193] According to an embodiment of this application, the first generation module includes a first subsystem generation submodule, a second subsystem generation submodule, a third subsystem generation submodule, and a fourth subsystem generation submodule.

[0194] The first subsystem generation module is configured to aggregate the response power information of each photovoltaic-storage-direct current-flexible (DC-Flex) device to generate the response power information of the photovoltaic-storage-DC-Flex subsystem. The second subsystem generation module is configured to aggregate the response power information of each smart lighting device to generate the response power information of the smart lighting subsystem. The third subsystem generation module is configured to aggregate the response power information of each thermal storage electric boiler device to generate the response power information of the thermal storage electric boiler subsystem. The fourth subsystem generation module is configured to aggregate the response power information of each ground source heat pump device to generate the response power information of the ground source heat pump subsystem.

[0195] According to embodiments of this application, the above-mentioned apparatus further includes: a target weight generation submodule and a target power regulation capability information generation submodule.

[0196] The target weight generation submodule is configured to adjust the initial weights of each energy subsystem until the target constraints are met, in response to the initial power regulation capacity information not meeting the target constraints, thereby obtaining the target weights. The target power regulation capacity information generation submodule is configured to generate target power regulation capacity information for the target region based on the target weights and the response power information of each energy subsystem.

[0197] According to an embodiment of this application, the above-mentioned apparatus further includes: a first acquisition submodule and a resource consumption information generation submodule.

[0198] The first acquisition submodule is configured to acquire current electricity transaction information and carbon emission factor information for the target area. The regulation resource consumption information generation submodule is configured to generate regulation resource consumption information by processing target electricity regulation capacity information, current electricity transaction information, and carbon emission factor information.

[0199] According to embodiments of this application, the above-described apparatus further includes a transmitting submodule and an adjusting submodule.

[0200] The sending submodule is configured to send feedback information to the distribution network in response to receiving an agreement instruction regarding the control of resource consumption information, indicating agreement to accept control. The adjusting submodule is configured to adjust the operating power of each energy device according to the power consumption strategy, so that each energy device operates normally during the target control period.

[0201] Figure 6 shows a block diagram of an electronic device for a method of determining power consumption strategy based on the power consumption regulation capability of multiple types of energy devices according to an embodiment of this application.

[0202] As shown in FIG6, an electronic device 600 according to an embodiment of the present application includes a processor 601, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 602 or a program loaded from storage portion 608 into random access memory (RAM) 603. The processor 601 may include, for example, a general-purpose microprocessor (e.g., a central processing unit (CPU)), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include onboard memory configured for caching purposes. The processor 601 may include a single processing unit or multiple processing units configured to perform different actions of the method flow according to an embodiment of the present application.

[0203] RAM 603 stores various programs and data required for the operation of electronic device 600. Processor 601, ROM 602, and RAM 603 are interconnected via bus 604. Processor 601 executes various operations of the method flow according to embodiments of this application by executing programs in ROM 602 and / or RAM 603. Programs may also be stored in one or more memories other than ROM 602 and RAM 603. Processor 601 may also execute various operations of the method flow according to embodiments of this application by executing programs stored in one or more memories.

[0204] According to embodiments of this application, the electronic device 600 may further include an input / output (I / O) interface 605, which is also connected to a bus 604. The electronic device 600 may also include one or more of the following components connected to the I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a local area network (LAN) card, modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 610 as needed so that computer programs read from it can be installed into the storage section 608 as needed.

[0205] This application also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs, which, when executed, implement the method according to the embodiments of this application.

[0206] According to embodiments of this application, the computer-readable storage medium can be a non-volatile computer-readable storage medium, such as: a portable computer disk, hard disk, RAM, ROM, electrically erasable programmable read-only memory (EPROM), flash memory, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, the computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to embodiments of this application, the computer-readable storage medium can include ROM 602 and / or RAM 603 and / or one or more memories other than ROM 602 and RAM 603 described above. The storage medium can be a non-transitory storage medium.

[0207] Embodiments of this application also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowchart. When the computer program product is run on a computer system, the program code enables the computer system to implement the method provided in embodiments of this application for determining electricity consumption strategies based on the electricity consumption regulation capabilities of multiple types of energy devices.

[0208] When the computer program is executed by the processor 601, it performs the functions defined in the system / apparatus of this application embodiment. According to the embodiments of this application, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0209] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and downloaded and installed via the communication section 609, and / or installed from the removable medium 611. The program code contained in the computer program can be transmitted using any suitable network medium, including wireless, wired, etc., or any suitable combination thereof.

[0210] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, it performs the functions defined in the system of this application embodiment. According to the embodiments of this application, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0211] According to embodiments of this application, program code for executing the computer programs provided in the embodiments of this application can be written in any combination of one or more programming languages. These computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include languages ​​such as Java, C++, Python, "C", or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a LAN or a Wide Area Network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0212] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0213] The features described in the various embodiments and / or claims of this application can be combined or combined in various ways, even if such combinations or combinations are not explicitly described in this application. All such combinations and / or combinations fall within the scope of this application.

Claims

1. A method for determining electricity consumption strategies based on the electricity consumption regulation capabilities of multiple types of energy equipment, comprising: In response to receiving a power distribution regulation command from the power distribution network, the system acquires the type information of multiple energy devices within the target area, the target power consumption regulation period, and the historical load information of the multiple energy devices corresponding to the target power consumption regulation period. Based on the evaluation strategy for power regulation capability corresponding to the type information, the historical load information of the multiple energy devices and the target power regulation period are processed respectively to generate the response power information of the multiple energy devices; According to the type information, the response power information of multiple energy devices of the same type is aggregated to generate the response power information of multiple energy subsystems. Based on the response power information of the multiple energy subsystems and the initial weights corresponding to the multiple energy subsystems, the initial power regulation capacity information of the target area is generated. as well as In response to the initial power consumption regulation capacity information satisfying the target constraints, a power consumption strategy for the target power consumption regulation period is generated based on the response power information of the multiple energy devices, wherein the target constraints include power consumption safety constraints and carbon emission constraints for the target area.

2. The method of claim 1, wherein, The step of processing the historical load information of the multiple energy devices and the target power regulation period according to the evaluation strategy of power regulation capability corresponding to the type information, and generating response power information of the multiple energy devices, includes: The target power consumption adjustment duration is determined based on the target power consumption adjustment period. Based on the evaluation strategy corresponding to the photovoltaic-storage-direct-drive-flexible equipment, the response power information of the multiple photovoltaic-storage-direct-drive-flexible equipment is generated by processing the target power regulation duration and the historical load information of multiple photovoltaic-storage-direct-drive-flexible equipment. Based on the evaluation strategy corresponding to the smart lighting equipment, the response power information of the multiple smart lighting equipment is generated by processing the target power consumption adjustment duration and the historical load information of multiple smart lighting equipment. Based on the evaluation strategy corresponding to the thermal storage electric boiler equipment, by processing the target power regulation duration and historical load information of multiple thermal storage electric boiler equipment, response power information of the multiple thermal storage electric boiler equipment is generated; and Based on the evaluation strategy corresponding to the ground source heat pump equipment, the response power information of the multiple ground source heat pump equipment is generated by processing the target power consumption regulation duration and the historical load information of multiple ground source heat pump equipment.

3. The method according to claim 2, further comprising: The response power information of the multiple photovoltaic-storage-direct-drive-flexible devices, the multiple smart lighting devices, the multiple thermal storage electric boiler devices, and the multiple ground source heat pump devices are displayed through a visual interface.

4. The method of claim 1 or 2, wherein, The step of aggregating the response power information of multiple energy devices of the same type according to the type information to generate response power information of multiple energy subsystems includes: The response power information of multiple optical-storage-direct-flexible devices is aggregated to generate the response power information of the optical-storage-direct-flexible subsystem. The response power information of multiple smart lighting devices is aggregated to generate the response power information of the smart lighting subsystem. The response power information of multiple thermal storage electric boiler devices is aggregated to generate the response power information of the thermal storage electric boiler subsystem; and The response power information of multiple ground source heat pump devices is aggregated to generate the response power information of the ground source heat pump subsystem.

5. The method according to claim 1, further comprising: In response to the initial power consumption regulation capacity information not meeting the target constraint, the initial weights corresponding to the multiple energy subsystems are adjusted until the target constraint is met, and the target weights are obtained. as well as Based on the target weights and the response power information of the multiple energy subsystems, target power regulation capacity information for the target region is generated.

6. The method according to claim 5, further comprising: Obtain the current electricity transaction information and carbon emission factor information of the target area; By processing the target electricity regulation capacity information, the current electricity transaction information, and the carbon emission factor information, information on regulating resource consumption is generated.

7. The method according to claim 6, further comprising: In response to receiving an instruction to consent to the controlled resource consumption information, feedback information indicating consent to control is sent to the distribution network. as well as According to the power consumption strategy, the operating power of the plurality of energy devices is adjusted so that the plurality of energy devices operate normally during the target power consumption adjustment period.

8. A device for determining an electricity consumption strategy based on the electricity consumption regulation capabilities of multiple types of energy equipment, comprising: The first acquisition module is configured to, in response to receiving a power distribution adjustment instruction from the power distribution network, acquire type information of multiple energy devices in the target area, target power consumption adjustment period, and historical load information of multiple energy devices corresponding to the target power consumption adjustment period; The processing module is configured to process the historical load information of the multiple energy devices and the target power regulation period according to the evaluation strategy of the power regulation capability corresponding to the type information, and generate the response power information of the multiple energy devices. The first generation module is configured to aggregate the response power information of multiple energy devices of the same type according to the type information to generate the response power information of multiple energy subsystems. The second generation module is configured to generate initial power regulation capacity information for the target area based on the response power information of the multiple energy subsystems and the initial weights corresponding to the multiple energy subsystems. as well as The third generation module is configured to generate an electricity consumption strategy for the target electricity consumption period based on the response power information of the multiple energy devices in response to the initial electricity consumption regulation capacity information meeting the target constraints. The target constraints include electricity safety constraints and carbon emission constraints for the target area.

9. An electronic device, comprising: One or more processors; Memory, configured to store one or more computer programs. The one or more processors execute the one or more computer programs to implement the method according to any one of claims 1 to 7.

10. A computer readable storage medium having stored thereon a computer program or instructions, wherein, When the computer program or instructions are executed by a processor, they implement the method according to any one of claims 1 to 7.

Images