A method for determining power consumption strategy based on power regulation capabilities of multiple types of energy equipment

Abstract

The present invention provides a method for determining a power consumption strategy based on the power consumption regulation capabilities of multiple types of energy devices, which can be applied to the field of integrated energy technology. The method includes: in response to receiving a power distribution regulation instruction from a distribution network, obtaining type information of multiple energy devices in a target area, a target power consumption regulation period, and historical load information of each energy device; generating response power information of each energy device according to the evaluation strategy of each power consumption regulation capability; aggregating the response power information of each energy device of the same type according to the type information to generate response power information of each energy subsystem; generating initial power consumption regulation capability information of the target area according to the response power information of each energy subsystem and the initial weight corresponding to each energy subsystem; in response to the initial power consumption regulation capability information satisfying the target constraint condition, generating a power consumption strategy for the target power consumption regulation period according to the response power information of each energy device.

Description

Technical Field

[0001] The present invention relates to the field of integrated energy technology, and in particular to a method for determining a power consumption strategy based on power consumption regulation capabilities of multiple types of energy equipment. Background Art

[0002] The integrated energy system has many types of equipment and diverse structural types. The equipment parameters vary greatly under variable operating conditions and the dynamic characteristics vary greatly below the minute level. The control capabilities and behavioral uncertainties of different devices are coupled and constrained by multi-energy networks such as electricity / heat / cold. The evaluation of its control capabilities involves the coordination of multi-time scale and multi-granularity control equipment, and it is also necessary to take into account the different needs of local new energy consumption, external power grid control, and green and low-carbon transformation of the energy system.

[0003] Therefore, it is difficult to match the minute-level dynamic control needs of the power grid. Summary of the invention

[0004] In view of the above problems, the present invention provides a method for determining a power consumption strategy based on the power consumption regulation capabilities of multiple types of energy equipment.

[0005] According to a first aspect of the present invention, there is provided a method for determining a power consumption strategy based on power consumption regulation capabilities of multiple types of energy equipment, comprising: in response to receiving a power distribution regulation instruction from a distribution network, obtaining type information of multiple energy equipment in a target area, a target power consumption regulation period, and historical load information of each energy equipment corresponding to the target power consumption regulation period; processing the historical load information and the target power consumption regulation period of each energy equipment respectively according to the evaluation strategy of each power consumption regulation capability corresponding to the type information, and generating response power information of each energy equipment; aggregating the response power information of each energy equipment of the same type according to the type information, and generating response power information of each energy subsystem; and generating initial power consumption regulation capability information of the target area according to the response power information of each energy subsystem and the initial weight corresponding to each energy subsystem; and generating a power consumption strategy for the target power consumption regulation period according to the response power information of each energy equipment in response to the initial power consumption regulation capability information satisfying the target constraint condition; wherein the target constraint condition includes power safety constraint and carbon emission constraint of the target area.

[0006] According to an embodiment of the present invention, according to the evaluation strategy of each power regulation capability corresponding to the type information, the historical load information and the target power regulation period of each energy device are processed respectively to generate the response power information of each energy device, including: determining the target power regulation duration according to the target power regulation period; based on the evaluation strategy corresponding to the photovoltaic, storage, direct and flexible devices, by processing the target power regulation duration and the historical load information of each photovoltaic, storage, direct and flexible devices, generating the response power information of each photovoltaic, storage, direct and flexible devices; based on the evaluation strategy corresponding to the intelligent lighting device, by processing the target power regulation duration and the historical load information of each lighting device, generating the response power information of each intelligent lighting device; based on the evaluation strategy corresponding to the heat storage electric boiler device, by processing the target power regulation duration and the historical load information of each heat storage electric boiler device, generating the response power information of each heat storage electric boiler device; and based on the evaluation strategy corresponding to the ground source heat pump device, by processing the target power regulation duration and the historical load information of each ground source heat pump device, generating the response power information of each ground source heat pump device.

[0007] According to an embodiment of the present invention, the above method also includes: displaying the response power information of each solar-storage direct-flexible device, the response power information of each intelligent lighting device, the response power information of each heat storage electric boiler device and the response power information of each local heat pump device through a visual interface.

[0008] According to an embodiment of the present invention, the response power information of each energy device of the same type is aggregated according to the type information to generate the response power information of each energy subsystem, including: aggregating the response power information of each photovoltaic, storage, direct and flexible device to generate the response power information of the photovoltaic, storage, direct and flexible subsystem; aggregating the response power information of each intelligent lighting device to generate the response power information of the intelligent lighting subsystem; aggregating the response power information of each thermal storage electric boiler device to generate the response power information of the thermal storage electric boiler subsystem; and aggregating the response power information of each geothermal heat pump device to generate the response power information of the geothermal heat pump subsystem.

[0009] According to an embodiment of the present invention, the above method also includes: in response to the initial power consumption regulation capability information not meeting the target constraint conditions, obtaining the target weight by adjusting the initial weights corresponding to each energy subsystem until the target constraint conditions are met; and generating the target power consumption regulation capability information of the target area based on the target weight and the response power information of each energy subsystem.

[0010] According to an embodiment of the present invention, the above method also includes: obtaining current electricity trading information and carbon emission factor information of the target area; generating regulation resource consumption information by processing the target electricity regulation capability information, current electricity trading information and carbon emission factor information.

[0011] According to an embodiment of the present invention, in response to receiving a consent instruction for regulating resource consumption information, feedback information representing consent to accept the regulation is sent to the distribution network; and according to the power consumption strategy, the operating power of each energy device is adjusted so that each energy device can operate normally during the target regulation period.

[0012] Another aspect of the present invention provides a device for determining a power consumption strategy 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.

[0013] The first acquisition module is used to obtain the type information of multiple energy devices in the target area, the target power regulation period and the historical load information of each energy device corresponding to the target power regulation period in response to receiving the distribution regulation instruction from the distribution network. The processing module is used to process the historical load information and the target power regulation period of each energy device according to the evaluation strategy of each power regulation capability corresponding to the type information, and generate the response power information of each energy device. The first generation module is used to aggregate the response power information of each energy device of the same type according to the type information to generate the response power information of each energy subsystem. The second generation module is used to generate the initial power regulation capability information of the target area according to the response power information of each energy subsystem and the initial weight corresponding to each energy subsystem. The third generation module is used to generate the power strategy for the target power regulation period according to the response power information of each energy device in response to the initial power regulation capability information satisfying the target constraint condition; wherein the target constraint condition includes the power safety constraint and carbon emission constraint of the target area.

[0014] A third aspect of the present invention provides an electronic device, comprising: one or more processors; a memory for storing 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 method.

[0015] The fourth aspect of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the above method when executed by a processor.

[0016] According to an embodiment of the present invention, after receiving a power distribution regulation instruction from a distribution network, type information of multiple energy devices in a target area, a target power consumption regulation period, and historical load information of each energy device corresponding to the target power consumption regulation period are obtained, and response power information of each energy device is generated. Energy devices of the same type are aggregated to generate response power information of each energy subsystem, and differentiated energy devices and energy networks of the integrated energy system in the target area are evaluated by hierarchical aggregation, thereby reducing the interference of energy equipment type differentiation on the evaluation of the comprehensive power consumption regulation capability, and finally generating initial power consumption regulation capability information of the target area that meets the target constraint conditions, as well as a power consumption strategy for the target power consumption regulation period, thereby meeting the minute-level dynamic regulation requirements of the distribution network, and being able to ensure the safe operation of energy equipment in the target area during the power consumption regulation period of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above contents and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0018] Figure 1 An application scenario diagram showing a method for determining a power consumption strategy based on power consumption regulation capabilities of multiple types of energy devices according to an embodiment of the present invention is shown;

[0019] Figure 2 A flow chart showing a method for determining a power consumption strategy based on power consumption regulation capabilities of multiple types of energy devices according to an embodiment of the present invention is shown;

[0020] Figure 3 A flowchart of generating target power regulation capability information of a target area according to an embodiment of the present invention is shown;

[0021] Figure 4 A flowchart is shown for determining a power consumption strategy for each energy device based on the resource consumption information according to an embodiment of the present invention;

[0022] Figure 5 A structural block diagram of a device for determining a power consumption strategy based on power consumption regulation capabilities of multiple types of energy devices according to an embodiment of the present invention is shown;

[0023] Figure 6 A block diagram of an electronic device is shown according to a method for determining a power usage strategy based on power usage regulation capabilities of multiple types of energy devices according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0025] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0026] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0027] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0028] Electricity demand response is a flexible and fast response method that can have an impact on electricity prices and system operation in the short term. With the accelerated advancement of integrated energy technology and engineering construction, the trend of energy diversification has become prominent, and integrated demand response based on electricity demand response has emerged. In order to ensure the reliability and flexibility of the integrated energy system in the target area to participate in the dynamic regulation of the power grid, it is necessary to model the integrated energy system in the target area and conduct hierarchical aggregation evaluation.

[0029] At present, many studies have proposed evaluation methods for the regulation capacity of integrated energy systems in target areas. Among them, evaluation methods based on optimization scheduling algorithms have been widely used. For example, optimization scheduling strategies based on linear programming, dynamic programming and other methods are widely used in the scheduling and optimization operation of integrated energy systems in target areas. In addition, methods such as deep reinforcement learning algorithms and actual operation experiments have also achieved certain results in evaluating the regulation capacity of integrated energy systems in target areas.

[0030] Accurately assessing the regulation capabilities of differentiated energy equipment and energy networks in the target area is the basis for the integrated energy system in the target area to support dynamic regulation of the external power grid and optimize the stable operation of the internal energy network. However, the integrated energy system in the target area has many types of equipment, diverse structural types, large differences in equipment parameters under variable operating conditions, and large differences in dynamic characteristics below the minute level. In addition, the regulation capabilities and behavioral uncertainties between different devices are mutually coupled and constrained through multiple energy networks such as electricity, heat, and cold. The assessment of its regulation capabilities involves the coordination of multi-time scale and multi-granularity regulation equipment. At the same time, it is also necessary to take into account the different needs of local new energy consumption, external power grid regulation, and green and low-carbon transformation of the energy system.

[0031] Therefore, the currently proposed simple superposition evaluation method of different types of equipment is difficult to accurately evaluate the reliable regulation capability. In addition, the research on evaluating and aggregating the structural characteristics and regulation performance of different types of equipment in the integrated energy system at different levels and combining the evaluation standards of different levels with the available electrical equipment in the target area is still relatively limited, which is difficult to meet the minute-level dynamic regulation needs of the power grid.

[0032] Based on this, it is necessary to conduct a hierarchical aggregation assessment of the interaction impact and electricity regulation capabilities of each subsystem based on local grid security constraints, carbon constraints, differentiated energy equipment structure characteristics, and characteristics of energy networks coupled with different types of equipment.

[0033] In view of the above problems, an embodiment of the present invention provides a method for determining a power consumption strategy based on the power consumption regulation capabilities of multiple types of energy equipment. After receiving a power distribution regulation instruction from a distribution network, the type information of multiple energy equipment in a target area, the target power consumption regulation period and the historical load information of each energy equipment corresponding to the target power consumption regulation period are obtained, and the response power information of each energy equipment is generated. By aggregating the energy equipment of the same type, the response power information of each energy subsystem is generated, and the differentiated energy equipment and energy network of the comprehensive energy system in the target area are hierarchically aggregated and evaluated, thereby reducing the interference of energy equipment type differentiation on the comprehensive power consumption regulation capability evaluation, and finally generating the initial power consumption regulation capability information of the target area that meets the target constraint conditions, as well as the power consumption strategy for the target power consumption regulation period, which meets the minute-level dynamic regulation requirements of the distribution network and can ensure the safe operation of the energy equipment in the target area during the power consumption regulation period of the distribution network.

[0034] Figure 1 An application scenario diagram of a method for determining a power consumption strategy based on power consumption regulation capabilities of multiple types of energy devices according to an embodiment of the present invention is shown.

[0035] like Figure 1As shown, 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 .

[0036] The network 104 is used to provide a medium for communication links between the first terminal device 101, the second terminal device 102, the third terminal device 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables.

[0037] The user can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through 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 platform software, etc. (only for example).

[0038] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0039] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as 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 device.

[0040] It should be noted that the method for determining the power usage strategy based on the power regulation capability of multiple types of energy devices provided in the embodiment of the present invention can generally be executed by the server 105. Accordingly, the device for determining the power usage strategy based on the power regulation capability of multiple types of energy devices provided in the embodiment of the present invention can generally be set in the server 105. The method for determining the power usage strategy based on the power regulation capability of multiple types of energy devices provided in the embodiment of the present invention can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the device for determining the power usage strategy based on the power regulation capability of multiple types of energy devices provided in the embodiment of the present invention can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.

[0041] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0042] The following will be based on Figure 1 The scene described by Figure 2~Figure 4 A method for determining a power consumption strategy based on the power consumption regulation capabilities of multiple types of energy equipment in an embodiment of the invention is described in detail.

[0043] Figure 2 A flow chart of a method for determining a power usage strategy based on power usage regulation capabilities of multiple types of energy devices according to an embodiment of the present invention is shown.

[0044] like Figure 2 As shown, the method 200 of determining a power usage strategy based on power usage regulation capabilities of multiple types of energy devices in this embodiment includes operations S210 to S250.

[0045] In operation S210, in response to receiving a power distribution adjustment instruction from a power distribution network, type information of multiple energy devices in a target area, a target power consumption adjustment period, and historical load information of each energy device corresponding to the target power consumption adjustment period are obtained.

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

[0047] In operation S230, response power information of energy devices of the same type is aggregated according to the type information to generate response power information of each energy subsystem.

[0048] In operation S240, initial power regulation capability information of the target area is generated according to the response power information of each energy subsystem and the initial weight corresponding to each energy subsystem.

[0049] In operation S250 , in response to the initial power consumption regulation capability information satisfying the target constraint condition, a power consumption strategy for the target power consumption regulation period is generated according to the response power information of each energy device.

[0050] According to an embodiment of the present invention, the power distribution regulation instruction is issued by the power distribution network, for example, "at time t, execute the power consumption regulation operation, and the regulation duration is 1 hour".

[0051] At present, the target area energy network is generally composed of a photovoltaic storage direct and flexible system, a ground source heat pump system, a thermal storage electric boiler system, a photovoltaic power generation system, a solar water heating system, a base load chiller, an ice storage system, a solar air conditioning system, and an intelligent lighting system. Among them, the subsystems with great potential for dynamic and rapid regulation and difficult to quantify and evaluate are mainly photovoltaic storage direct and flexible systems, intelligent lighting systems, thermal storage electric boiler systems, and ground source heat pump systems. Therefore, the type information of multiple energy equipment in the target area in the present invention includes photovoltaic storage direct and flexible equipment, intelligent lighting equipment, thermal storage electric boiler equipment, and ground source heat pump equipment.

[0052] The target electricity consumption adjustment period includes the target electricity consumption adjustment time and the target electricity consumption adjustment duration.

[0053] The historical load information of each energy device corresponding to the target power regulation period includes the historical load information of each photovoltaic storage direct and flexible device, the historical load information of each lighting device, the historical load information of each thermal storage electric boiler device, and the historical load information of each local source heat pump device, which is used to generate the response power information of each energy device. By collecting the historical load monitoring data of the equipment, a historical load curve can be established, and then the power consumption mode and load characteristics of the equipment can be analyzed. The power of each energy device can be calculated using the historical load information corresponding to the target power regulation period. In addition, the historical load information of each energy device mentioned above can help identify the interruptible and transferable characteristics of the equipment, thereby determining the interruption interval and the transferable interval, that is, determining the target power regulation time and the target power regulation duration.

[0054] The evaluation strategies for each electricity regulation capability corresponding to the type information include an evaluation strategy corresponding to photovoltaic storage direct flexible equipment, an evaluation strategy corresponding to intelligent lighting equipment, an evaluation strategy corresponding to heat storage electric boiler equipment, and an evaluation strategy corresponding to ground source heat pump equipment. Based on the above evaluation strategies for each electricity regulation capability, the historical load information and the target electricity regulation period of each energy device are processed respectively to generate the response power information of each energy device.

[0055] In order to evaluate the structural characteristics and regulation performance of different types of equipment in the 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, so as to realize the hierarchical aggregation evaluation of differentiated energy equipment and energy network in the integrated energy system of the target area.

[0056] The initial weight corresponding to each energy subsystem is an initial setting parameter, which can be adjusted according to the target constraint conditions, for example, it can be 0.2, 0.3, 0.6, etc. The initial power regulation capability information of the target area represents the adjustable power information of each energy device in the operating state of each energy subsystem.

[0057] The target constraints include the power safety constraints and carbon emission constraints of the target area. When the initial power regulation capability information meets the target constraints, power regulation is performed in the target power regulation period according to the response power information of each energy device at this time.

[0058] According to an embodiment of the present invention, after receiving a power distribution regulation instruction from a distribution network, type information of multiple energy devices in a target area, a target power consumption regulation period, and historical load information of each energy device corresponding to the target power consumption regulation period are obtained, and response power information of each energy device is generated. Energy devices of the same type are aggregated to generate response power information of each energy subsystem, and differentiated energy devices and energy networks of the integrated energy system in the target area are evaluated by hierarchical aggregation, thereby reducing the interference of energy equipment type differentiation on the evaluation of the comprehensive power consumption regulation capability, and finally generating initial power consumption regulation capability information of the target area that meets the target constraint conditions, as well as a power consumption strategy for the target power consumption regulation period, thereby meeting the minute-level dynamic regulation requirements of the distribution network, and being able to ensure the safe operation of energy equipment in the target area during the power consumption regulation period of the distribution network.

[0059] According to an embodiment of the present invention, according to the evaluation strategy of each power regulation capability corresponding to the type information, the historical load information and the target power regulation period of each energy device are processed respectively to generate the response power information of each energy device, including: determining the target power regulation duration according to the target power regulation period. Based on the evaluation strategy corresponding to the photovoltaic storage direct and flexible device, the response power information of each photovoltaic storage direct and flexible device is generated by processing the target power regulation duration and the historical load information of each photovoltaic storage direct and flexible device. Based on the evaluation strategy corresponding to the intelligent lighting device, the response power information of each intelligent lighting device is generated by processing the target power regulation duration and the historical load information of each lighting device. Based on the evaluation strategy corresponding to the thermal storage electric boiler device, the response power information of each thermal storage electric boiler device is generated by processing the target power regulation duration and the historical load information of each thermal storage electric boiler device. Based on the evaluation strategy corresponding to the ground source heat pump device, the response power information of each ground source heat pump device is generated by processing the target power regulation duration and the historical load information of each ground source heat pump device.

[0060] According to an embodiment of the present invention, considering the mutual influence between individual devices during the operation and regulation process, the regulation capability of each device is firstly evaluated in a hierarchical and quantitative manner, and the power regulation capability of each device is evaluated at the device level.

[0061] Based on the evaluation strategy corresponding to the photovoltaic, storage, direct and flexible equipment, the response power information of each photovoltaic, storage, direct and flexible equipment is calculated. The photovoltaic, storage, direct and flexible system is a comprehensive power system that integrates photovoltaic power generation, energy storage system, DC power distribution technology and flexible power consumption technology. By configuring this system, the target area can achieve efficient use of renewable energy and at the same time improve the stability and flexibility of the power system in the target area. Among them, the photovoltaic, storage, direct and flexible system includes photovoltaic power generation system, energy storage system and V2G charging pile.

[0062] Photovoltaic power generation is a technology that uses the photovoltaic effect to directly convert solar energy into electrical energy. The photovoltaic power generation system is mainly composed of photovoltaic modules, inverters, battery energy storage and support systems. The photovoltaic modules convert sunlight into direct current, and the inverter converts direct current into alternating current for production and 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):

[0063] (1)

[0064] (2)

[0065] 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 represents the maximum photovoltaic power generation power, kW; D represents the target power consumption adjustment duration, s; t represents the target power consumption adjustment time; R pv (t,D) represents the average power of photovoltaic power generation within the target power regulation time D, kW.

[0066] The charging and discharging process of the energy storage system is the core of its work, which determines its application effect in grid regulation, renewable energy integration and backup power supply. When the target area participates in grid regulation, the energy storage power calculation is shown in the following formula (3), formula (4) and formula (5):

[0067] (3)

[0068] (4)

[0069] (5)

[0070] 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, kW; P b,c,max Indicates the maximum charging power of the energy storage system, kW; P b,d,max Indicates the maximum discharge power of the energy storage system, kW; Pload (t) represents the load power at time t, kW; R b (t,D) represents the average power of the energy storage system within the target power regulation time D, kW.

[0071] The battery charge dynamic equation is shown in the following formula (6):

[0072] (6)

[0073] Among them, E b (t) is the energy storage, kWh; η b,c is the battery charging efficiency, kW; η b,d is the battery discharge efficiency, kW; Q loss (t) is the heat loss of the energy storage system at the time, kW.

[0074] V2G charging piles are an advanced form of electric vehicle charging system that allows electric vehicles to not only charge from the grid but also feed back stored electrical energy to the grid. This bidirectional charging technology not only contributes to the stability of the grid but also provides additional benefits for electric vehicle owners. When the target area participates in grid regulation, the charging and discharging power of the charging pile is calculated as shown in the following formulas (7), (8), and (9):

[0075] (7)

[0076] (8)

[0077] (9)

[0078] Among them, P c (t) represents the power of the charging pile to charge the electric vehicle, kW; P d (t) represents the power discharged from the electric vehicle to the grid, kW; P c,max Indicates the maximum charging power of the charging pile to the electric vehicle, kW; P d,max Indicates the maximum discharge power of electric vehicles to the grid, kW; P v2g,charge (t) represents the allowed charging power of the vehicle at time t, kW; P v2g,discharge (t) represents the allowed discharge power of the vehicle at time t, kW; R V2G (t,D) represents the average power of the charging pile within the target power adjustment time D, kW.

[0079] Combining photovoltaic power generation, energy storage system and V2G system, the comprehensive regulation capability of the photovoltaic storage direct-flexible equipment is calculated, and its comprehensive power regulation power is calculated as shown in the following formula (10):

[0080] (10)

[0081] The intelligent lighting system can intelligently adjust the lighting intensity and usage time, extending the life of the equipment while achieving energy saving and consumption reduction. Based on the evaluation strategy corresponding to the intelligent lighting equipment, the response power information of each intelligent lighting equipment is generated by processing the target power adjustment time and the historical load information of each lighting equipment. When the target area participates in the power grid regulation, the power calculation method of the intelligent lighting equipment is shown in the following formula (11) and formula (12):

[0082] (11)

[0083] (12)

[0084] Among them, P light (t) represents the lighting power at time t, kW; P light,max Indicates the maximum power of the lamp, kW; D light (t) represents the lighting demand at time t, kW; L current (t) represents the actual light intensity at time t, lm; L max Indicates the maximum light intensity of the lamp, lm; F demand (t) represents the demand response coefficient at time t (dimensionless), 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 time; R light (t,D) represents the average power of the smart lighting device within the target power adjustment time D, kW.

[0085] System demand response power refers to responding to the real-time status and demand changes of the power grid by adjusting the system comprehensive demand, thereby optimizing the operation of the power grid and improving the stability of the system. When the target area participates in the power grid regulation, the demand response power adjustment is shown in the following formula (13):

[0086] (13)

[0087] Among them, P demand_response (t, D) represents the demand response power at time t, kW; P current (t) represents the actual lighting power at time t, kW.

[0088] Time-based power scheduling refers to adjusting power usage in different time periods based on changes in power demand and power prices in the target area to optimize power consumption and reduce costs. When the target area participates in grid regulation, the time-based power scheduling of the smart lighting system is shown in the following formula (14):

[0089] (14)

[0090] Among them, P schedule_adjusted (t, D) represents the power adjusted according to time scheduling at time t, kW.

[0091] The 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 unstable power supply or peak electricity price periods. 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 adjustment time and the historical load information of each thermal storage electric boiler equipment. When the target area participates in power grid regulation, the power and heat storage capacity of the thermal storage electric boiler equipment are shown in the following formulas (15), (16), and (17):

[0092] (15)

[0093] (16)

[0094] (17)

[0095] Among them, P boiler (t) represents the power of the electric boiler at time t, kW; P boiler,max Indicates the maximum power output of the boiler, kW; P demand (t) represents the heat load demand of the electric boiler, kW; T target Indicates the desired indoor temperature, in degrees Celsius; T env (t) represents the ambient temperature at time t, in degrees Celsius; C load Indicates load heat capacity, kWh / degree; η boiler Indicates the thermal efficiency of the boiler; E boiler (t) represents the heat storage at time t, kWh; R boiler (t,D) represents the average power of the thermal storage electric boiler equipment within the target power consumption adjustment time D, kW.

[0096] Geothermal heat pumps can use the stable temperature of the earth's shallow soil or groundwater for heating and cooling, and are an efficient heating and cooling system. Based on the evaluation strategy corresponding to the geothermal heat pump equipment, by processing the target electricity adjustment time and the historical load information of the geothermal heat pump equipment in each region, the response power information of the geothermal heat pump equipment in each region is generated. When the target area participates in the power grid regulation, the power calculation of the geothermal heat pump equipment is shown in the following formulas (18), (19), (20), and (21):

[0097] (18)

[0098] (19)

[0099] (20)

[0100] (twenty one)

[0101] Among them, Q demand (t) represents the heat load demand at time t, kW; C load represents the load heat capacity, kWh / degree; ΔT(t) represents the temperature difference between the target temperature and the ambient temperature at time t, degrees Celsius; COP(T 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, kW; P pump,max Indicates the maximum power of the heat pump, kW; R pump (t,D) represents the average power of the ground source heat pump equipment within the target power regulation time D, 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.

[0102] The dynamic heat storage capacity is shown in the following formula (22):

[0103] (twenty two)

[0104] Among them, E pump (t) represents the heat storage at time t, kWh; η pump Indicates the heat pump efficiency; Q loss,pump (t) represents the heat loss at time t, kW.

[0105] According to an embodiment of the present invention, 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 direct-flexible device, each intelligent lighting device, each thermal storage electric boiler device and each local heat pump device is processed and generated, so as to evaluate the power regulation capability of each device from the device level, quantify the regulation capability of different types of equipment, and accurately evaluate the regulation capability of differentiated energy equipment and energy networks in the target area, so as to obtain a power strategy for the target power regulation period.

[0106] According to an embodiment of the present invention, the response power information of each solar-storage direct-flexible device, the response power information of each intelligent lighting device, the response power information of each thermal storage electric boiler device and the response power information of each local heat pump device are respectively displayed through a visual interface.

[0107] According to an embodiment of the present invention, since the regulation capabilities of various energy devices in the target area are different under different target power regulation moments and different target power regulation durations, the response power information of each energy device is displayed separately through a visualization interface, thereby displaying the performance of the subsystem composed of each energy device under different configurations. The visualization interface is implemented through a three-dimensional regulation capability surface, which is a three-dimensional surface graph drawn with the target power regulation moment, the target power regulation duration, and the response power of each energy device as variables.

[0108] Specifically, the three-dimensional adjustment capability surface of the photovoltaic storage direct flexible device involves the comprehensive adjustment capability of photovoltaic power generation, energy storage system and V2G system. pv (t)), energy storage system power (R b ) and V2G charging and discharging power (R V2G ), based on the target power regulation time, target power regulation duration and the comprehensive power regulation power of the PV-storage direct-flexible equipment. As variables, the three-dimensional adjustment ability surface of the optical storage direct-flexible system is drawn.

[0109] The three-dimensional adjustment capability surface of intelligent lighting equipment involves lighting intensity (L), time scheduling factor (F schedule ), and the demand response factor (F demand (t) and other parameters, based on the selection of appropriate parameter ranges, the target power consumption adjustment time, target power consumption adjustment duration and the power P after time scheduling adjustment schedule_adjusted (t, D) are variables, and the three-dimensional adjustment capability surface of the intelligent lighting system is drawn.

[0110] The three-dimensional adjustment capacity surface of the thermal storage electric boiler equipment involves the heat storage state E(t), the ambient temperature T env (t), and the electric boiler power P boiler (t) and other parameters, and select the appropriate parameter range based on the target power adjustment time, target power adjustment duration and the power R of the thermal storage electric boiler system. boiler (t,D) is a variable, and the three-dimensional adjustment capacity surface of the thermal storage electric boiler system is drawn.

[0111] The three-dimensional regulation capacity surface of the ground source heat pump system involves the ambient temperature T env (t), heat pump output temperature T out (t), and the actual power P pump (t) and other parameters, based on the selection of appropriate parameter ranges, the target power consumption adjustment time, target power consumption adjustment duration and ground source heat pump system power R pump (t,D) is the variable, and the three-dimensional adjustment capacity surface of the ground source heat pump system is drawn.

[0112] According to an embodiment of the present invention, by drawing a three-dimensional regulation capability surface, the response power information of each photovoltaic storage direct-flexible device, each intelligent lighting device, each thermal storage electric boiler device and each local heat pump device is visualized, and the performance of each device under different regulation requirements is concisely and clearly displayed, thereby providing data support for power grid regulation, helping to quantify the regulation capabilities of different types of equipment, so as to obtain power consumption strategies for target power regulation periods.

[0113] According to an embodiment of the present invention, the response power information of each energy device of the same type is aggregated according to the type information to generate the response power information of each energy subsystem, including: aggregating the response power information of each photovoltaic, storage, direct and flexible device to generate the response power information of the photovoltaic, storage, direct and flexible subsystem; aggregating the response power information of each intelligent lighting device to generate the response power information of the intelligent lighting subsystem; aggregating the response power information of each thermal storage electric boiler device to generate the response power information of the thermal storage electric boiler subsystem; aggregating the response power information of each geothermal heat pump device to generate the response power information of the geothermal heat pump subsystem.

[0114] After a hierarchical quantitative evaluation of the regulation capability of each device, the mutual influence between the subsystems formed by the same type of energy devices is taken into consideration. By aggregating the response power information of the same type of energy devices, the regulation capability of the subsystems formed by the same type of energy devices is evaluated.

[0115] The power of each energy device of the same type is added up to calculate the regulation capacity of the subsystem formed by each energy device.

[0116] The regulation capability of the direct-flexible optical storage subsystem is shown in the following formula (23):

[0117] (twenty three)

[0118] Among them, P storage,total (t, D) represents the regulation capacity of the direct-flexible light-storage subsystem at time t, kW.

[0119] The adjustment capability of the intelligent lighting subsystem is shown in the following formula (24):

[0120] (twenty four)

[0121] Among them, P schedule,total (t, D) represents the overall regulation capacity at time t, kW.

[0122] The regulation capability of the thermal storage electric boiler subsystem is shown in the following formula (25):

[0123] (25)

[0124] Among them, P boiler,total (t, D) represents the regulation capacity of the thermal storage electric boiler subsystem at time t, kW.

[0125] The regulation capacity of the ground source heat pump subsystem is shown in the following formula (26):

[0126] (26)

[0127] Among them, P pump,total (t, D) represents the regulation capacity of the ground source heat pump subsystem at time t, kW.

[0128] According to an embodiment of the present invention, the response power information of each photovoltaic storage direct-flexible device, each intelligent lighting device, each thermal storage electric boiler device and each local source heat pump device of the same type is aggregated to generate the response power information of each energy subsystem. From the subsystem level, the regulation capability of the subsystem is quantitatively evaluated to improve the reliability and flexibility of the target area in participating in the dynamic regulation of the power grid, obtain the power consumption strategy for the target power regulation period, accurately evaluate the regulation capability of the differentiated energy equipment and energy network in the target area, so as to ensure the safe operation of the energy equipment in the target area during the power regulation period of the distribution network, and establish a set of target area comprehensive energy system hierarchical evaluation index system for the minute-level dynamic regulation needs of the power grid.

[0129] Figure 3 A flow chart of generating target power regulation capability information of a target area according to an embodiment of the present invention is shown.

[0130] like Figure 3 As shown, the method 300 of generating target power consumption regulation capability information of a target area in this embodiment includes operations S301 to S305.

[0131] In operation S301, initial power regulation capability information of a target area is generated according to response power information of each energy subsystem and an initial weight corresponding to each energy subsystem.

[0132] In operation S302, it is determined whether the initial power consumption regulation capability information meets the target constraint condition. If the determination result is yes, operation S304 is performed, and if the determination result is no, operation S303 is performed.

[0133] In operation S303, the initial weight corresponding to each energy subsystem is adjusted so that the initial power regulation capability information meets the target constraint condition, and the process returns to execute operation S301.

[0134] In operation S304, a target weight is determined.

[0135] In operation S305, target power regulation capability information of the target area is generated according to the target weight and the response power information of each energy subsystem.

[0136] According to an embodiment of the present invention, the initial weight corresponding to each energy subsystem represents the contribution of each energy subsystem to the adjustable power of the target area energy equipment.

[0137] Since the target area usually contains differentiated energy equipment and multiple types of energy networks, its electricity demand is usually very complex. Coordinating the electricity regulation capacity at the target area level is very important to ensure the stability of external power grid supply and the efficient operation of the internal system. Determining the initial electricity regulation capacity information of the target area is intended to quantitatively evaluate the regulation capacity of the entire target area from the perspective of the target area layer.

[0138] According to the response power information of each energy subsystem and the initial weight corresponding to each energy subsystem, the initial power regulation capacity information of the target area is generated, as shown in the following formula (27):

[0139] (27)

[0140] Among them, α, β, γ, and δ represent weight coefficients, which are used to adjust the contribution of each system to the objective function.

[0141] Safety constraints play a vital role in the evaluation of the power regulation capacity of the integrated energy system, aiming to ensure that the system can meet energy demand while maintaining the stability of the power grid. These constraints cover key aspects such as the upper and lower limits of the power grid, the upper and lower limits of the voltage and frequency of the power grid. By integrating these constraints into the evaluation model, it can be ensured that the system will not exceed the carrying capacity of the power grid during actual operation, thereby effectively preventing the risk of power shortages or overloads. This comprehensive consideration helps to achieve the optimal configuration and load balance of energy, enhance the flexibility and reliability of the system, and thus improve the safety and stability of the overall power grid.

[0142] When the target area participates in the dynamic regulation of the power grid, the voltage and frequency changes of the power grid are shown in the following formulas (28) and (29):

[0143] (28)

[0144] (29)

[0145] Among them, V0 represents the reference voltage of the power grid, which is usually the voltage value under normal operating conditions, V; f0 represents the reference frequency of the power grid, which is usually the frequency value under normal operating conditions, Hz; k1 represents the sensitivity coefficient of the impact of load changes on voltage; k2 represents the sensitivity coefficient of the impact of load changes on frequency; V represents the voltage of the power grid after the target area participates in the regulation, V; f represents the frequency of the power grid after the target area participates in the regulation, Hz.

[0146] The adjustable capacity of electricity consumption in the target area needs to meet the following electricity safety constraints, as shown in formulas (30), (31) and (32):

[0147] (30)

[0148] (31)

[0149] (32)

[0150] Among them, V min Indicates the lowest voltage value allowed by the power grid, V; V max Indicates the maximum voltage allowed by the power grid, V; f min Indicates the lowest frequency value allowed by the power grid, Hz; f max Indicates the maximum frequency value allowed by the power grid, Hz; P min Indicates the minimum power channel value allowed by the power grid, kW; P max Indicates the maximum power channel value allowed by the power grid, kW; P base It indicates the load power of the target area under the baseline conditions, usually refers to the average load under normal operating conditions, kW.

[0151] At present, my country's energy green and low-carbon transformation is accelerating. Flexibly adjusting the electricity demand in the target area under the premise of considering the carbon constraints of the target area is of great significance for building a new power system and improving the "green" attribute of electric energy. The impact of the carbon constraints of the target area on the comprehensive regulation capacity of electricity in the target area is reflected in multiple aspects. First, the carbon constraint policy promotes the optimization of the energy structure of the target area and promotes the use of renewable energy, thereby improving the overall power regulation capacity. Secondly, this constraint encourages the target area to implement efficient energy management and demand-side response strategies to cope with power load fluctuations. In addition, carbon emission constraints also prompt the target area to enhance the flexibility and intelligence in the power system, and ultimately enhance the sustainable development capacity of the target area. Therefore, carbon constraints are not only a necessary means of environmental protection, but also a key driving force for the optimization of power regulation capacity in the target area.

[0152] To this end, the present invention will evaluate the integrated energy system of the target area by hierarchical aggregation under the premise of considering the carbon constraint conditions of the target area. The carbon emission constraint of the target area is shown in the following formula (33):

[0153] (33)

[0154] Where K(t) represents the total carbon emissions at time t (kg CO2); C irepresents the carbon emission factor of the i-th energy source, kgCO2 / kWh, which represents 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 at time t and control time D; K max Indicates the carbon emission cap set for the target area (kg CO2).

[0155] According to an embodiment of the present invention, when the initial power regulation capability 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 based on the target weights and the response power information of each energy subsystem, the target power regulation capability information of the target area is generated to determine the power regulation strategy of the target area.

[0156] For example, the initial weights α, β, γ, and δ are set to 0.1, 0.6, 0.4, and 0.5 respectively. According to the response power information of each energy subsystem, the initial power regulation capability information f(t, D) of the target area is generated. The obtained f(t, D) value is brought into the above 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, and the total carbon emission K is greater than the threshold K max At this time, the size of the weight coefficient is adjusted accordingly. For example, the weight value that meets the constraint conditions can be re-matched from the historical database, and the initial weights α, β, γ, and δ are adjusted to 0.2, 0.6, 0.3, and 0.7 respectively. At this time, the calculated results all meet the constraint conditions, and the target weights are α=0.2, β=0.6, γ=0.3, and δ=0.7. According to the target weight and the response power information of each energy subsystem, the target power regulation capability information of the target area is generated to determine the power regulation strategy of the target area, that is, to adjust the operating power of each energy device to the target power value.

[0157] According to an embodiment of the present invention, by setting weight coefficients, the regulating capacity of each energy subsystem in the target area for the entire system can be effectively quantified. By integrating power safety constraints and carbon emission constraints into the evaluation model, when power safety constraints and carbon emission conditions are not met, the weight coefficients are adjusted to meet the constraints, and then the power regulation strategy is determined, which can ensure the safe and stable operation of the system during actual operation and promote the optimization of the energy structure in the target area. This comprehensive consideration and flexible regulation strategy help to achieve the optimal configuration and load balance of energy, enhance the flexibility and reliability of the system, so as to ensure the safe operation of energy equipment in the target area during the power regulation period of the distribution network, and realize the reasonable construction of a hierarchical evaluation index system for the target area comprehensive energy system facing the minute-level dynamic regulation needs of the power grid.

[0158] Figure 4A flow chart is shown for determining a power usage strategy for each energy device based on regulation resource consumption information according to an embodiment of the present invention.

[0159] like Figure 4 As shown, the method 400 of determining the power usage strategy of each energy device based on the regulation resource consumption information of this embodiment includes operations S401 to S406.

[0160] In operation S401, current electricity transaction information and carbon emission factor information of a target area are acquired.

[0161] In operation S402, regulation resource consumption information is generated by processing target electricity regulation capability information, current electricity transaction information, and carbon emission factor information.

[0162] In operation S403, it is determined whether the received instruction to adjust resource consumption information is accepted. If the determination result is yes, operation S404 is performed, and if the determination result is no, operation S406 is performed.

[0163] In operation S404, feedback information indicating agreement to accept regulation is sent to the power distribution network.

[0164] In operation S405 , the operating power of each energy device is adjusted according to the power usage strategy so that each energy device operates normally during the target adjustment period.

[0165] In operation S406 , each energy device does not adjust its operating power during the target adjustment period.

[0166] According to an embodiment of the present invention, electricity transaction information includes the unit price of electricity, and different electricity prices correspond to different times. The carbon emission factor information is a known input parameter and is a fixed value.

[0167] The control resource consumption information represents the control cost required to execute the command operation after receiving the distribution network regulation command. The calculation method of the control resource consumption information is shown in the following formula (34), formula (35), and formula (36):

[0168] (34)

[0169] (35)

[0170] (36)

[0171] Among them, C energy represents the energy cost, which is used to calculate the energy cost of charging and discharging in the target area during the regulation process; C price Indicates the unit price of electricity, which means the cost per kilowatt-hour; C carbonrepresents the carbon emission cost, which is used to calculate the cost caused by carbon emissions generated in the target area during the regulation process; F carbon represents the carbon emission factor, which indicates the carbon emission per unit of electricity; C control It represents the total regulation cost, which indicates all the expenses required by the target area to support the grid regulation process.

[0172] The consumption of regulatory resources directly affects the economic incentives, energy selection, strategy flexibility and carbon emission management of the target areas participating in the dynamic regulation of the power grid. Reducing regulation costs and optimizing policies and technical support are crucial to increasing the enthusiasm of the target areas to participate in the regulation of the power grid.

[0173] Therefore, during the actual operation and regulation of the target area system, the regulation resource consumption information is generated according to the above calculation formula, and whether to agree to execute the regulation resource consumption information instruction is determined according to the actual operation of the target area. When the regulation resource consumption information instruction meets the expected conditions, feedback information indicating agreement to accept the regulation 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 regulation resource consumption information instruction does not meet the expected conditions, feedback information indicating disagreement to accept the regulation is sent to the distribution network, and the operating power of each energy device is not adjusted during the target regulation period.

[0174] According to an embodiment of the present invention, in addition to considering the local power grid security constraints and the target area carbon constraints, it is also necessary to consider the resource consumption generated by adjusting the operating status of each energy device according to the control strategy. By introducing the economic evaluation of resource consumption constraints into the hierarchical aggregation evaluation method of adjustable power consumption capacity, it helps to increase the enthusiasm of the target area to participate in power grid regulation, while improving the flexibility and reliability of the method for determining power consumption strategies based on the power regulation capabilities of multiple types of energy equipment.

[0175] Specifically, the process of the method for determining the power consumption strategy based on the power consumption regulation capability of multiple types of energy equipment is as follows:

[0176] First, the regulation capabilities of different types of equipment are evaluated based on the system structure parameters and historical load information of each energy device in the target area. Then, the power regulation capabilities of subsystems composed of a single type of equipment are evaluated, and the multi-type energy equipment in the target area is quantitatively evaluated in blocks. Then, the subsystems are coordinated and aggregated. Then, combined with the local power grid security constraints and the target area carbon constraints, the power regulation capabilities of the integrated energy system in the target area and the power regulation capabilities of the integrated energy system in the target area are evaluated. Finally, the resource consumption of the regulation strategies with different regulation capacities is evaluated to provide a reference for users in the target area to select regulation strategies.

[0177] The evaluation model constructed by the above method comprehensively considers factors such as renewable energy scheduling, grid carbon emissions, load regulation capabilities, and energy efficiency improvement. By evaluating the power regulation capabilities of the target area through the above method, it is possible to measure the comprehensive regulation capabilities of the target area's integrated energy system to reduce carbon emissions while flexibly adjusting power consumption to support the dynamic changes of the external grid while ensuring the safety of the local grid.

[0178] Based on the above method for determining a power usage strategy based on the power regulation capability of multiple types of energy devices, the present invention also provides a device for determining a power usage strategy based on the power regulation capability of multiple types of energy devices. Figure 5 The device is described in detail.

[0179] Figure 5 A structural block diagram of an apparatus for determining a power usage strategy based on power usage regulation capabilities of multiple types of energy devices according to an embodiment of the present invention is shown.

[0180] like Figure 5 As shown, the operation scheduling device 500 for the air source heat pump unit for the scenic area building complex 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.

[0181] The first acquisition module 510 is used to obtain type information of multiple energy devices in the target area, target power consumption adjustment period, and historical load information of each energy device corresponding to the target power consumption adjustment period in response to receiving a power distribution adjustment instruction from the distribution network. In one embodiment, the first acquisition module 510 can be used to perform the operation S210 described above, which will not be repeated here.

[0182] The processing module 520 is used to process the historical load information and the target power regulation period of each energy device according to the evaluation strategy of each power regulation capability corresponding to the type information, and generate the response power information of each energy device. In one embodiment, the processing module 520 can be used to perform the operation S220 described above, which will not be repeated here.

[0183] The first generating module 530 is used to aggregate the response power information of each energy device of the same type according to the type information to generate the response power information of each energy subsystem. In one embodiment, the first generating module 530 can be used to perform the operation S230 described above, which will not be repeated here.

[0184] The second generation module 540 is used to generate the initial power regulation capability information of the target area according to the response power information of each energy subsystem and the initial weight corresponding to each energy subsystem. In one embodiment, the second generation module 540 can be used to perform the operation S240 described above, which will not be repeated here.

[0185] The third generation module 550 is used to generate a power consumption strategy for a target power consumption regulation period according to the response power information of each energy device in response to the initial power consumption regulation capability information satisfying the target constraint condition; wherein the target constraint condition includes the power safety constraint and the carbon emission constraint of the target area. In one embodiment, the third generation module 550 can be used to perform the operation S250 described above, which will not be repeated here.

[0186] According to an embodiment of the present invention, 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.

[0187] The first determination submodule is used to determine the target power regulation duration according to the target power regulation period. The first generation submodule is used to generate the response power information of each photovoltaic storage direct and flexible device by processing the target power regulation duration and the historical load information of each photovoltaic storage direct and flexible device based on the evaluation strategy corresponding to the photovoltaic storage direct and flexible device. The second generation submodule is used to generate the response power information of each intelligent lighting device by processing the target power regulation duration and the historical load information of each lighting device based on the evaluation strategy corresponding to the intelligent lighting device. The third generation submodule is used to generate the response power information of each thermal storage electric boiler device by processing the target power regulation duration and the 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 used to generate the response power information of each local ground source heat pump device by processing the target power regulation duration and the historical load information of each local ground source heat pump device based on the evaluation strategy corresponding to the ground source heat pump device.

[0188] According to an embodiment of the present invention, the above-mentioned device also includes: a visualization display module, which is used to display the response power information of each solar storage direct and flexible device, the response power information of each intelligent lighting device, the response power information of each heat storage electric boiler device and the response power information of each local heat pump device through a visualization interface.

[0189] According to an embodiment of the present invention, 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.

[0190] The first subsystem generates a submodule, which is used to aggregate the response power information of each photovoltaic storage direct current and flexible device to generate the response power information of the photovoltaic storage direct current and flexible subsystem. The second subsystem generates a submodule, which is used to aggregate the response power information of each intelligent lighting device to generate the response power information of the intelligent lighting subsystem. The third subsystem generates a submodule, which is used 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 generates a submodule, which is used to aggregate the response power information of each geothermal heat pump device to generate the response power information of the geothermal heat pump subsystem.

[0191] According to an embodiment of the present invention, the above-mentioned device further includes: a target weight generation submodule and a target power consumption regulation capability information generation submodule.

[0192] The target weight generation submodule is used to obtain the target weight by adjusting the initial weights corresponding to each energy subsystem until the target constraint condition is met in response to the initial power consumption regulation capability information not meeting the target constraint condition. The target power consumption regulation capability information generation submodule is used to generate the target power consumption regulation capability information of the target area according to the target weight and the response power information of each energy subsystem.

[0193] According to an embodiment of the present invention, the above-mentioned device further includes: a first acquisition submodule and a resource consumption regulation information generation submodule.

[0194] The first acquisition submodule is used to acquire the current electricity transaction information and carbon emission factor information of the target area. The regulation resource consumption information generation submodule is used to generate regulation resource consumption information by processing the target electricity regulation capability information, the current electricity transaction information and the carbon emission factor information.

[0195] According to an embodiment of the present invention, the above-mentioned device further includes: a sending submodule and an adjusting submodule.

[0196] The sending submodule is used to send feedback information to the distribution network to indicate the consent to accept the regulation in response to receiving the consent instruction for regulating resource consumption information. The adjusting submodule is used to 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 regulation period.

[0197] Figure 6 A block diagram of an electronic device is shown according to a method for determining a power usage strategy based on power usage regulation capabilities of multiple types of energy devices according to an embodiment of the present invention.

[0198] like Figure 6As shown, the electronic device 600 according to an embodiment of the present invention includes a processor 601, which can perform various appropriate actions and processes according to the program stored in the ROM 602 or the program loaded from the storage part 608 to the RAM 603. The processor 601 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 601 may also include an onboard memory for caching purposes. The processor 601 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0199] In RAM603, various programs and data required for the operation of electronic device 600 are stored. Processor 601, ROM602 and RAM603 are connected to each other via bus 604. Processor 601 performs various operations of the method flow according to an embodiment of the present invention by executing the programs in ROM602 and / or RAM603. It should be noted that the program can also be stored in one or more memories other than ROM602 and RAM603. Processor 601 can also perform various operations of the method flow according to an embodiment of the present invention by executing the programs stored in one or more memories.

[0200] According to an embodiment of the present invention, the electronic device 600 may further include an I / O interface 605, which is also connected to the bus 604. The electronic device 600 may further include one or more of the following components connected to the I / O interface 605: an input portion 606 including a keyboard, a mouse, etc.; an output portion 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 608 including a hard disk, etc.; and a communication portion 609 including a network interface card such as a LAN card, a modem, etc. The communication portion 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 magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage portion 608 as needed.

[0201] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present invention is implemented.

[0202] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM602 and / or RAM603 described above and / or one or more memories other than ROM602 and RAM603.

[0203] The embodiment of the present invention also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the relay protection method for the radiation power grid provided by the embodiment of the present invention.

[0204] The computer program executes the above functions defined in the system / device of the embodiment of the present invention when it is executed by the processor 601. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0205] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 609, and / or installed from a removable medium 611. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0206] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, the above functions defined in the system of the embodiment of the present invention are performed. According to the embodiment of the present invention, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0207] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0208] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0209] It will be appreciated by those skilled in the art that the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways, even if such combinations and / or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments and / or claims of the present invention may be combined and / or combined in various ways without departing from the spirit and teachings of the present invention. All of these combinations and / or combinations fall within the scope of the present invention.

[0210] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination. The scope of the present invention is defined by the attached claims and their equivalents. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A method for determining a power consumption strategy based on the power consumption regulation capabilities of multiple types of energy equipment, characterized in that: include: In response to receiving a power distribution adjustment instruction from a distribution network, obtaining type information of multiple energy devices in a target area, a target power consumption adjustment period, and historical load information of each energy device corresponding to the target power consumption adjustment period; the power distribution adjustment instruction includes an adjustment time and adjustment duration corresponding to the execution of the power consumption adjustment operation; According to the evaluation strategy of each power regulation capability corresponding to the type information, the historical load information of each energy device and the target power regulation period are processed respectively to generate the response power information of each energy device; According to the type information, the response power information of each energy device of the same type is aggregated to generate the response power information of each energy subsystem; Generating initial power regulation capability information of the target area according to the response power information of each energy subsystem and the initial weight corresponding to each energy subsystem; as well as In response to the initial power regulation capability information satisfying the target constraint condition, a power strategy for the target power regulation period is generated according to the response power information of each energy device, so as to meet the minute-level dynamic regulation demand of the distribution network within the target power regulation period, and ensure the safe operation of the energy equipment in the target area within the power regulation period; wherein the target constraint condition includes the power safety constraint and the carbon emission constraint of the target area; The process of processing the historical load information of each energy device and the target power regulation period according to the evaluation strategy of each power regulation capability corresponding to the type information to generate the response power information of each energy device includes: Determining a target power consumption adjustment duration according to the target power consumption adjustment period; Based on the evaluation strategy corresponding to the PV-storage direct-flexible device, the response power information of each PV-storage direct-flexible device is generated by processing the target power adjustment duration and the historical load information of each PV-storage direct-flexible device, as shown below: 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 represents the maximum photovoltaic power generation power, kW; D represents the target power consumption adjustment duration, s; t represents the target power consumption adjustment time; R pv (t,D) represents the average power of photovoltaic power generation within the target power regulation time D, kW; 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, kW; P b,c,max Indicates the maximum charging power of the energy storage system, kW; P b,d,max Indicates the maximum discharge power of the energy storage system, kW; P load (t) represents the load power at time t, kW; R b (t,D) represents the average power of the energy storage system within the target power regulation time D, kW; Among them, P c (t) represents the power of the charging pile to charge the electric vehicle, kW; P d (t) represents the power discharged from the electric vehicle to the grid, kW; P c,max Indicates the maximum charging power of the charging pile to the electric vehicle, kW; P d,max Indicates the maximum discharge power of electric vehicles to the grid, kW; P v2g,charge (t) represents the allowed charging power of the vehicle at time t, kW; P v2g,discharge (t) represents the allowed discharge power of the vehicle at time t, kW; R V2G (t,D) represents the average power of the charging pile within the target power adjustment time D, kW; The comprehensive power regulation power of each PV-storage direct-flexible device is: Based on the evaluation strategy corresponding to the intelligent lighting device, by processing the target power adjustment duration and the historical load information of each lighting device, the response power information of each intelligent lighting device is generated as shown below: Among them, P light (t) represents the lighting power at time t, kW; P light,max Indicates the maximum power of the lamp, kW; D light (t) represents the lighting demand at time t, kW; L current (t) represents the actual light intensity at time t, lm; L max Indicates the maximum light intensity of the lamp, lm; F demand (t) represents the demand response coefficient at time t, indicating the degree of grid load response; F schedule (t) represents the time scheduling factor at time t; R light (t,D) represents the average power of the intelligent lighting equipment within the target power adjustment time D, kW; When the target area participates in grid regulation, the demand response power adjustment is as follows: Among them, P demand_response (t, D) represents the demand response power at time t, kW; P current (t) represents the actual lighting power at time t, kW; When the target area participates in grid regulation, the time scheduling power of the intelligent lighting system is as follows: Among them, P schedule_adjusted (t, D) represents the power adjusted according to time scheduling at time t, kW; Based on the evaluation strategy corresponding to the thermal storage electric boiler equipment, by processing the target power adjustment duration and the historical load information of each thermal storage electric boiler equipment, the response power information of each thermal storage electric boiler equipment is generated; Among them, P boiler (t) represents the power of the electric boiler at time t, kW; P boiler,max Indicates the maximum power output of the boiler, kW; P demand (t) represents the heat load demand of the electric boiler, kW; T target Indicates the desired indoor temperature, in degrees Celsius; T env (t) represents the ambient temperature at time t, in degrees Celsius; C load Indicates load heat capacity, kWh / degree; η boiler Indicates the thermal efficiency of the boiler; E boiler (t) represents the heat storage at time t, kWh; R boiler (t,D) represents the average power of the thermal storage electric boiler equipment within the target power consumption adjustment time D, kW; Based on the evaluation strategy corresponding to the ground source heat pump equipment, by processing the target power adjustment duration and the historical load information of the ground source heat pump equipment in each location, the response power information of the ground source heat pump equipment in each location is generated; ； ； ； ； Among them, Q demand (t) represents the heat load demand at time t, kW; C load represents the load heat capacity, kWh / degree; ΔT(t) represents the temperature difference between the target temperature and the ambient temperature at time t, degrees Celsius; COP(T 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, kW; P pump,max Indicates the maximum power of the heat pump, kW; R pump (t,D) represents the average power of the ground source heat pump equipment within the target power regulation time D, 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.

2. The method according to claim 1, characterized in that The method further comprises: The response power information of each solar-storage direct-flexible device, the response power information of each intelligent lighting device, the response power information of each thermal storage electric boiler device and the response power information of each local heat pump device are respectively displayed through a visual interface.

3. The method according to claim 1, characterized in that According to the type information, the response power information of each energy device of the same type is aggregated to generate the response power information of each energy subsystem, including: Aggregate the response power information of each PV-storage-direct-flexible device to generate the response power information of the PV-storage-direct-flexible subsystem; Aggregate the response power information of each intelligent lighting device to generate the response power information of the intelligent lighting subsystem; Aggregating the response power information of each thermal storage electric boiler device to generate the response power information of the thermal storage electric boiler subsystem; and The response power information of each geothermal heat pump device is aggregated to generate the response power information of the geothermal heat pump subsystem.

4. The method according to claim 1, characterized in that: The method further comprises: In response to the initial power consumption regulation capability information not satisfying the target constraint condition, the target weight is obtained by adjusting the initial weight corresponding to each energy subsystem until the target constraint condition is satisfied; and The target power regulation capability information of the target area is generated according to the target weight and the response power information of each energy subsystem.

5. The method according to claim 4, characterized in that The method further comprises: Obtain current electricity transaction information and carbon emission factor information in the target area; By processing the target electricity regulation capability information, the current electricity transaction information and the carbon emission factor information, regulation resource consumption information is generated.

6. The method according to claim 5, characterized in that The method further comprises: In response to receiving an instruction of consent for regulating resource consumption information, sending feedback information indicating consent to regulation to the distribution network; and According to the power consumption strategy, the operating power of each energy device is adjusted so that each energy device can operate normally during the target power consumption adjustment period.

7. A device for determining power consumption strategy based on power consumption regulation capabilities of multiple types of energy equipment, characterized in that: include: A first acquisition module is used to obtain type information of multiple energy devices in a target area, a target power consumption adjustment period, and historical load information of each energy device corresponding to the target power consumption adjustment period in response to receiving a power distribution adjustment instruction from a distribution network; the power distribution adjustment instruction includes an adjustment time and adjustment duration corresponding to the execution of the power consumption adjustment operation; A processing module, configured to process the historical load information of each energy device and the target power regulation period respectively according to the evaluation strategy of each power regulation capability corresponding to the type information, and generate response power information of each energy device; A first generating module is used to aggregate the response power information of each energy device of the same type according to the type information to generate the response power information of each energy subsystem; A second generating module is used to generate the initial power regulation capability information of the target area according to the response power information of each energy subsystem and the initial weight corresponding to each energy subsystem; as well as A third generation module is used to generate a power consumption strategy for the target power consumption regulation period according to the response power information of each energy device in response to the initial power consumption regulation capability information satisfying the target constraint condition, so as to meet the minute-level dynamic regulation demand of the distribution network within the target power consumption regulation period, and ensure the safe operation of the energy equipment in the target area within the power consumption regulation period; wherein the target constraint condition includes the power safety constraint and the carbon emission constraint of the target area; The processing module is used for: Determining a target power consumption adjustment duration according to the target power consumption adjustment period; Based on the evaluation strategy corresponding to the PV-storage direct-flexible device, the response power information of each PV-storage direct-flexible device is generated by processing the target power adjustment duration and the historical load information of each PV-storage direct-flexible device, as shown below: 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 represents the maximum photovoltaic power generation power, kW; D represents the target power consumption adjustment duration, s; t represents the target power consumption adjustment time; R pv (t,D) represents the average power of photovoltaic power generation within the target power regulation time D, kW; 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, kW; P b,c,max Indicates the maximum charging power of the energy storage system, kW; P b,d,max Indicates the maximum discharge power of the energy storage system, kW; P load (t) represents the load power at time t, kW; R b (t,D) represents the average power of the energy storage system within the target power regulation time D, kW; Among them, P c (t) represents the power of the charging pile to charge the electric vehicle, kW; P d (t) represents the power discharged from the electric vehicle to the grid, kW; P c,max Indicates the maximum charging power of the charging pile to the electric vehicle, kW; P d,max Indicates the maximum discharge power of electric vehicles to the grid, kW; P v2g,charge (t) represents the allowed charging power of the vehicle at time t, kW; P v2g,discharge (t) represents the allowed discharge power of the vehicle at time t, kW; R V2G (t,D) represents the average power of the charging pile within the target power adjustment time D, kW; The comprehensive power regulation power of each PV-storage direct-flexible device is: Based on the evaluation strategy corresponding to the intelligent lighting device, by processing the target power adjustment duration and the historical load information of each lighting device, the response power information of each intelligent lighting device is generated as shown below: Among them, P light (t) represents the lighting power at time t, kW; P light,max Indicates the maximum power of the lamp, kW; D light (t) represents the lighting demand at time t, kW; L current (t) represents the actual light intensity at time t, lm; L max Indicates the maximum light intensity of the lamp, lm; F demand (t) represents the demand response coefficient at time t, indicating the degree of grid load response; F schedule (t) represents the time scheduling factor at time t; R light (t,D) represents the average power of the intelligent lighting equipment within the target power adjustment time D, kW; When the target area participates in grid regulation, the demand response power adjustment is as follows: Among them, P demand_response (t, D) represents the demand response power at time t, kW; P current (t) represents the actual lighting power at time t, kW; When the target area participates in grid regulation, the time scheduling power of the intelligent lighting system is as follows: Among them, P schedule_adjusted (t, D) represents the power adjusted according to time scheduling at time t, kW; Based on the evaluation strategy corresponding to the thermal storage electric boiler equipment, by processing the target power adjustment duration and the historical load information of each thermal storage electric boiler equipment, the response power information of each thermal storage electric boiler equipment is generated; Among them, P boiler (t) represents the power of the electric boiler at time t, kW; P boiler,max Indicates the maximum power output of the boiler, kW; P demand (t) represents the heat load demand of the electric boiler, kW; T target Indicates the desired indoor temperature, in degrees Celsius; T env (t) represents the ambient temperature at time t, in degrees Celsius; C load Indicates load heat capacity, kWh / degree; η boiler Indicates the thermal efficiency of the boiler; E boiler (t) represents the heat storage at time t, kWh; R boiler (t,D) represents the average power of the thermal storage electric boiler equipment within the target power consumption adjustment time D, kW; Based on the evaluation strategy corresponding to the ground source heat pump equipment, by processing the target power adjustment duration and the historical load information of the ground source heat pump equipment in each location, the response power information of the ground source heat pump equipment in each location is generated; ； ； ； ； Among them, Q demand (t) represents the heat load demand at time t, kW; C load represents the load heat capacity, kWh / degree; ΔT(t) represents the temperature difference between the target temperature and the ambient temperature at time t, degrees Celsius; COP(T 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, kW; P pump,max Indicates the maximum power of the heat pump, kW; R pump (t,D) represents the average power of the ground source heat pump equipment within the target power regulation time D, 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.

8. An electronic device, comprising: one or more processors; a memory for storing one or more computer programs, It is characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program or instruction stored thereon, characterized in that: When the computer program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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