Virtual power plant wind power consumption method and device, electronic equipment and medium

Abstract

The application provides a virtual power plant wind power consumption method and device, electronic equipment and medium, comprising: obtaining the actual output of the wind turbine based on the obtained wind speed parameter of the wind turbine and the pre-established output model of the wind turbine; obtaining the electrical load demand and the thermal load demand before demand response, and obtaining the wind power curtailment before demand response based on the actual output of the wind turbine and the electrical load demand and the thermal load demand before demand response; obtaining the electrical load demand and the thermal load demand after demand response, and obtaining the wind power curtailment after demand response based on the actual output of the wind turbine and the electrical load demand and the thermal load demand after demand response; and determining whether the wind power consumption meets the expected requirement based on the difference between the wind power curtailment before demand response and the wind power curtailment after demand response. The application improves the effect of wind power consumption of the virtual power plant.

Description

Technical Field

[0001] This invention relates to the field of virtual power plant technology, and in particular to a method, apparatus, electronic device and medium for wind power consumption in a virtual power plant. Background Technology

[0002] Clean energy has been vigorously developed due to its environmental friendliness and renewability, but it also brings many problems. Wind power, in particular, is characterized by randomness and volatility, and its grid connection can impact the power grid, leading to low energy utilization. Therefore, researching wind power integration methods is crucial for reducing wind curtailment. Virtual power plants, through advanced communication technologies, aggregate and regulate dispersed energy resources within a region, forming a highly controllable power generation and distribution system, providing an effective way to integrate wind power. Existing solutions in the fields of wind power integration and virtual power plants mainly focus on energy aggregation, load regulation, and energy storage assistance, or only focus on aggregation on the generation side, or only regulate a single type of load, or rely solely on energy storage equipment, resulting in limited improvement in wind power integration capacity. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a method, apparatus, electronic device and medium for wind power consumption in a virtual power plant, so as to improve the wind power consumption effect of the virtual power plant.

[0004] To achieve the above objectives, the technical solutions adopted in the embodiments of the present invention are as follows: In a first aspect, embodiments of the present invention provide a method for wind power consumption in a virtual power plant, comprising: obtaining the actual output of the wind turbine based on the acquired wind speed parameters and a pre-established wind turbine output model; obtaining the electrical load demand and thermal load demand before demand response, and obtaining the amount of wind power curtailed before demand response based on the actual wind turbine output and the electrical load demand and thermal load demand before demand response; obtaining the electrical load demand and thermal load demand after demand response, and obtaining the amount of wind power curtailed after demand response based on the actual wind turbine output and the electrical load demand and thermal load demand after demand response; and determining whether wind power consumption meets the expected requirements based on the difference between the amount of wind power curtailed before demand response and the amount of wind power curtailed after demand response.

[0005] Optionally, the wind speed parameters include: cut-in wind speed, cut-out wind speed, rated wind speed, and real-time wind speed; based on the acquired wind speed parameters of the wind turbine and the pre-established wind turbine output model, the actual output of the wind turbine is obtained, including: inputting the cut-in wind speed, cut-out wind speed, rated wind speed, and real-time wind speed into the pre-established wind turbine output model to obtain the actual output of the wind turbine.

[0006] Optionally, obtaining the electrical load demand and thermal load demand before demand response includes: obtaining thermal load parameters before demand response, and obtaining the thermal load demand before demand response based on the thermal load parameters before demand response; and obtaining the electrical load demand at each time before demand response based on the user's electricity consumption at each time before demand response.

[0007] Optionally, based on the actual output of the wind turbine and the electrical and thermal load demands before the demand response, the amount of wind power curtailed before the demand response is obtained, including: determining the heating power of the electric boiler before the demand response based on the thermal load demand before the demand response; obtaining the amount of wind power consumed by the heating equipment before the demand response based on the heating power of the electric boiler before the demand response and the output model of the electric boiler before the demand response; and obtaining the amount of wind power curtailed at each time before the demand response and the total amount of wind power curtailed before the demand response based on the actual output of the wind turbine, the electrical load demand at each time before the demand response, and the amount of wind power consumed by the heating equipment before the demand response.

[0008] Optionally, obtaining the electrical load demand and thermal load demand after the demand response includes: obtaining the thermal load parameters after the demand response, and obtaining the thermal load demand after the demand response based on the thermal load parameters after the demand response; obtaining the electrical load change at each time after the demand response, and obtaining the electrical load demand at each time after the demand response based on the electrical load change at each time after the demand response and the electrical load demand at each time before the demand response.

[0009] Optionally, based on the actual output of the wind turbine and the electrical and thermal load demands after the demand response, the amount of wind power curtailed after the demand response is obtained, including: determining the heating power of the electric boiler after the demand response based on the thermal load demand after the demand response; obtaining the amount of wind power consumed by the heating equipment after the demand response based on the heating power of the electric boiler after the demand response and the output model of the electric boiler after the demand response; and obtaining the amount of wind power curtailed at each time after the demand response and the total amount of wind power curtailed after the demand response based on the actual output of the wind turbine, the electrical load demand at each time after the demand response, and the amount of wind power consumed by the heating equipment after the demand response.

[0010] Optionally, the above method further includes: determining the charging and discharging state of the battery based on the amount of wind power curtailed at each time after the demand response; wherein, if the amount of wind power curtailed after the demand response at the target time is less than zero, the battery discharges, and the amount of discharge is equal to the absolute value of the amount of wind power curtailed after the demand response at the target time; if the amount of wind power curtailed after the demand response at the target time is greater than or equal to zero, the battery charges, and the amount of charging is equal to the amount of wind power curtailed after the demand response at the target time.

[0011] Secondly, embodiments of the present invention provide a virtual power plant wind power consumption device, comprising: a wind turbine output calculation module, used to obtain the actual wind turbine output based on the acquired wind speed parameters of the wind turbine and a pre-established wind turbine output model; a pre-demand response calculation module, used to obtain the electrical load demand and thermal load demand before demand response, and to obtain the wind power curtailment before demand response based on the actual wind turbine output and the electrical load demand and thermal load demand before demand response; a post-demand response calculation module, used to obtain the electrical load demand and thermal load demand after demand response, and to obtain the wind power curtailment after demand response based on the actual wind turbine output and the electrical load demand and thermal load demand after demand response; and a wind power consumption judgment module, used to judge whether the wind power consumption meets the expected requirements based on the difference between the wind power curtailment before demand response and the wind power curtailment after demand response.

[0012] Thirdly, embodiments of the present invention provide an electronic device including a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of any of the methods provided in the first aspect above.

[0013] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the method provided in any of the first aspects above.

[0014] The embodiments of the present invention bring the following beneficial effects: The wind power consumption method, apparatus, electronic equipment, and medium provided by this invention first obtain the actual wind turbine output based on the acquired wind speed parameters and a pre-established wind turbine output model. Then, the electrical and thermal load demands before demand response are obtained, and the amount of wind power curtailed before demand response is obtained based on the actual wind turbine output and these demands. Next, the electrical and thermal load demands after demand response are obtained, and the amount of wind power curtailed after demand response is obtained based on the actual wind turbine output and these demands. Finally, the difference between the amount of wind power curtailed before and after demand response is used to determine whether wind power consumption meets the expected requirements. In this method, the amount of wind power curtailed before and after demand response is obtained by combining the electrical and thermal load demands before and after demand response with the actual wind turbine output obtained from the wind turbine output model. The effectiveness of wind power consumption is then judged based on the amount of wind power curtailed before and after demand response, thereby achieving coordinated regulation of the electrical and thermal loads of the virtual power plant and improving the wind power consumption effect of the virtual power plant.

[0015] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0016] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This invention provides a schematic diagram of the core structure and energy flow of a virtual power plant, as shown in an embodiment of the invention. Figure 2 A flowchart of a virtual power plant wind power consumption method provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a virtual power plant wind power consumption device provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Currently, existing solutions in the fields of wind power integration and virtual power plant technology mainly revolve around energy aggregation, load regulation, and energy storage assistance. They either focus only on aggregation on the generation side, regulate only a single type of load, or rely solely on energy storage equipment, resulting in limited improvement in wind power integration capacity.

[0021] Based on this, the present invention provides a method, apparatus, electronic equipment and medium for wind power consumption in a virtual power plant, which improves the wind power consumption effect of the virtual power plant.

[0022] To facilitate understanding of this embodiment, a virtual power plant disclosed in this embodiment of the invention will first be introduced. A virtual power plant refers to a power generation and distribution system with excellent controllability by integrating and controlling the dispersed comprehensive energy resources within a region through advanced communication technology. The virtual power plant in this embodiment of the invention includes a wind turbine, an electric boiler, and a storage battery.

[0023] See Figure 1 The diagram illustrates the core components and energy flow of a virtual power plant. Part of the electrical energy output from the wind turbine is directly supplied to the electrical load to meet electricity demand, while the other part is input into the electric boiler and converted into heat energy to match the heat load demand. When the wind power output is excessive, the excess electrical energy is stored in the battery through the energy storage path. The battery can release electrical energy when the wind power output is insufficient to supplement the power supply as an auxiliary power source, forming a closed-loop control system of "power generation - load - energy storage".

[0024] Integrated demand response refers to the responsive behavior of electrical and thermal loads adjusting their own demand based on energy supply conditions, price signals, etc., to achieve optimal energy allocation. In this embodiment of the invention, before integrated demand response is initiated (i.e., before demand response), electrical load, thermal load, electric boiler, and curtailed wind power are all calculated according to the original default state (normal user electricity consumption, indoor temperature initially set at PMV=0, no load adjustment). After integrated demand response is initiated (after demand response), electrical load is adjusted according to the elasticity coefficient of different electricity consumption periods (peak, flat, valley), thermal load is reset to the PMV comfort range, electric boiler output changes accordingly, and all parameters are recalculated according to the post-response rules.

[0025] Next, a detailed description of a virtual power plant wind power consumption method disclosed in this invention will be provided. This method can be executed by electronic devices, such as computers, smartphones, and tablets. See also... Figure 2 The flowchart shown illustrates a method for wind power integration using a virtual power plant, indicating that the method mainly includes the following steps S201 to S204: Step S201: Based on the acquired wind speed parameters of the wind turbine and the pre-established wind turbine output model, obtain the actual output of the wind turbine.

[0026] In one implementation, the wind speed parameters include: cut-in wind speed, cut-out wind speed, rated wind speed, and real-time wind speed. Specifically, the cut-in wind speed, cut-out wind speed, rated wind speed, and real-time wind speed are input into a pre-established wind turbine output model to obtain the actual wind turbine output.

[0027] In practical implementation, a wind turbine output model is established to obtain the wind power prediction curve, namely:

[0028] in, This refers to the rated power of the fan. The cut-in wind speed of the fan; This refers to the rated wind speed of the fan; This refers to the cut-off velocity of the fan. The real-time wind speed of the fan at time t; For a moment ; For a moment Actual output of the fan. The actual output of the fan meets the following constraints:

[0029] in, This is the lower limit of the fan power. This is the upper limit of the wind turbine's power.

[0030] Step S202: Obtain the electrical load demand and thermal load demand before demand response, and based on the actual output of the wind turbine and the electrical load demand and thermal load demand before demand response, obtain the amount of wind power curtailed before demand response.

[0031] In one implementation, a heat load demand model is established before demand response to calculate the heat load demand before demand response, and the electricity load demand before demand response is obtained based on the user's electricity consumption; then, based on the actual output of the wind turbine and the electricity and heat load demands before demand response, the amount of wind power curtailed before demand response is obtained.

[0032] Step S203: Obtain the electrical load demand and thermal load demand after the demand response, and based on the actual output of the wind turbine and the electrical load demand and thermal load demand after the demand response, obtain the amount of wind power curtailed after the demand response.

[0033] In one implementation, a heat load demand model after demand response is established to calculate the heat load demand after demand response, and the electricity load demand after demand response is determined based on the electricity load demand before demand response; then, based on the actual output of the wind turbine and the electricity and heat load demands after demand response, the amount of wind power curtailed after demand response is obtained.

[0034] Step S204: Based on the difference between the amount of wind power curtailed before demand response and the amount of wind power curtailed during demand response, determine whether the wind power consumption meets the expected requirements.

[0035] In one implementation, the difference between the amount of wind curtailment before demand response and the amount of wind curtailment during demand response is calculated. If the difference is greater than 0, it indicates that the amount of wind curtailment has decreased and the wind power absorption efficiency has improved. If the difference is equal to 0, it indicates that the amount of wind curtailment has not changed and the wind power absorption efficiency remains unchanged. If the difference is less than 0, it indicates that the amount of wind curtailment has increased and the wind power absorption efficiency has decreased.

[0036] The wind power consumption method of the virtual power plant provided in this embodiment of the invention obtains the amount of wind power curtailed before and after the demand response by combining the actual output of the wind turbine obtained by the wind turbine output model with the electrical load demand and heat load demand before and after the demand response. The wind power consumption effect is judged based on the amount of wind power curtailed before and after the demand response, thereby realizing the coordinated regulation of the electrical load and heat load of the virtual power plant and improving the wind power consumption effect of the virtual power plant.

[0037] In one implementation, for the aforementioned step S202, i.e., when obtaining the electrical load demand and thermal load demand before demand response, the following methods may be used, including but not limited to: First, obtain the heat load parameters before demand response, and based on the heat load parameters before demand response, obtain the heat load demand before demand response.

[0038] In practical implementation, the heat load parameters before demand response include at least: the corrected temperature difference coefficient of the building envelope, the heat transfer coefficient of the building envelope, the area of ​​the building envelope, the outdoor temperature at time t, the specific heat capacity of air, the air density, the number of air changes per minute, the building area, the building's indoor height, the heat generation of electrical equipment, the heat generation of human beings, and the set indoor temperature before demand response. In this embodiment of the invention, the heat load parameters before demand response can be input into the heat load demand model before demand response to obtain the heat load demand before demand response. The heat load demand model before demand response is as follows:

[0039] in, This refers to the heat load demand prior to demand response. Correct the temperature difference coefficient for the building envelope; The heat transfer coefficient of the building envelope; The area of ​​the enclosure structure; For a moment t The outdoor temperature; The specific heat capacity of air; air density; This refers to the number of air exchanges; The building area; The building's interior height; For heat generated by electrical equipment; It generates heat for the human body; Set the indoor temperature before demand response.

[0040] Pre-response indoor temperature setting It can be calculated using the following formula:

[0041] in, This refers to the temperature of human skin at room temperature. The human body's energy metabolism rate; The initial forecast average vote (PMV) index; For the thermal resistance of the garment; during calculation, set... =0, obtaining the set indoor temperature before demand response. Furthermore, the heat load demand before demand response is obtained based on the heat load demand model before demand response. .

[0042] The PMV index is a scaled prediction of thermal sensation and is divided into seven levels: =0 represents the optimal temperature state acceptable to the human body; +1、 +2、 +3 represents slightly warm, warm, and hot, respectively; 1. 2. 3 represents slightly cool, cool, and cold, respectively. According to the ISO-7730 standard, the PMV index is... 0.5 The range of 0.5 is within the acceptable range for the human body.

[0043] Then, based on the user electricity consumption at each time point before the demand response, the electrical load demand at each time point before the demand response is obtained. In specific implementation, the user electricity consumption at each time point before the demand response is collected and summarized to obtain the electrical load demand at each time point before the demand response.

[0044] In one implementation, for the aforementioned step S202, i.e., when obtaining the amount of wind power curtailed before demand response based on the actual output of the wind turbine and the electrical and thermal load demands before demand response, the following methods may be used, including but not limited to: First, the heating capacity of the electric boiler before demand response is determined based on the heat load demand before demand response. In practice, the heating equipment before demand response only includes the electric boiler before demand response; therefore, the heating capacity of the electric boiler before demand response is equal to the heat load demand before demand response.

[0045] Then, based on the heating power of the electric boiler before demand response and the output model of the electric boiler before demand response, the wind power consumed by the heating equipment before demand response is obtained.

[0046] In practical implementation, the power output model of the electric boiler before demand response is as follows:

[0047] in, For a moment t Heating capacity of the electric boiler before demand response; For a moment tThe amount of wind power consumed by the electric boiler before demand response; This refers to the electro-thermal conversion efficiency.

[0048] The actual output of the electric boiler before demand response meets the following constraints:

[0049] in, This represents the lower limit of electric boiler power before demand response; The upper limit of electric boiler power before demand response; For a moment t The actual output (i.e. heating power) of the electric boiler before demand response.

[0050] In this embodiment of the invention, based on the heat load demand before demand response... To obtain the heating power of the electric boiler before the demand response at time t, i.e. = Furthermore, based on the electric boiler output model before demand response, the wind power consumed by the heating equipment before demand response is obtained. .

[0051] Finally, based on the actual output of the wind turbine, the electrical load demand at each time before the demand response, and the wind power consumed by the heating equipment before the demand response, the amount of wind power curtailed at each time before the demand response and the total amount of wind power curtailed before the demand response are obtained.

[0052] In practical implementation, the formula for calculating the amount of wind power curtailed before demand response is as follows:

[0053]

[0054] in, This represents the total amount of wind power curtailed before demand response. For a moment t Wind power curtailment before demand response; for time t Electricity load demand before demand response; The initial wind power consumption of the heating equipment, i.e., the wind power consumption of the heating equipment before demand response.

[0055] In one implementation, for the aforementioned step S203, i.e., when obtaining the electrical load demand and heat load demand after the demand response, the following methods may be used, including but not limited to: First, obtain the heat load parameters after the demand response, and based on the heat load parameters after the demand response, obtain the heat load demand after the demand response.

[0056] In practical implementation, the heat load parameters after demand response include at least: the corrected temperature difference coefficient of the building envelope, the heat transfer coefficient of the building envelope, the area of ​​the building envelope, the outdoor temperature at time t, the specific heat capacity of air, the air density, the number of air changes per minute, the building area, the building's indoor height, the heat generation of electrical equipment, the heat generation of human beings, and the set indoor temperature after demand response. In this embodiment of the invention, the heat load parameters after demand response are obtained by adjusting the heat load according to the PMV index, and the heat load parameters after demand response are input into the heat load demand model after demand response to obtain the heat load demand after demand response. The heat load demand model after demand response is as follows:

[0057] in, This refers to the heat load demand following the demand response. Set the indoor temperature after demand response; Correct the temperature difference coefficient for the building envelope; The heat transfer coefficient of the building envelope; The area of ​​the enclosure structure; For a moment t The outdoor temperature; The specific heat capacity of air; air density; This refers to the number of air exchanges; The building area; The building's interior height; For heat generated by electrical equipment; It generates heat for the human body.

[0058] Set indoor temperature after demand response It can be calculated using the following formula:

[0059] in, This refers to the temperature of human skin at room temperature. The human body's energy metabolism rate; The initial PMV index; For clothing thermal resistance; during calculation, reset according to the PMV comfort range. The set indoor temperature after receiving the demand response Then, based on the heat load demand model after demand response, the heat load demand after demand response is obtained. .

[0060] Then, the change in electrical load at each time point after the demand response is obtained, and based on the change in electrical load at each time point after the demand response and the electrical load demand at each time point before the demand response, the electrical load demand at each time point after the demand response is obtained.

[0061] In practical implementation, the electricity load demand after demand response can be adjusted according to the elasticity coefficient of different electricity consumption periods (peak, flat, and valley). In this embodiment of the invention, the change in electricity load at each moment after demand response can be calculated using the following formula:

[0062]

[0063]

[0064] in, , , These represent the changes in electricity load during peak, normal, and off-peak periods after demand response. , , These represent the electricity load during peak electricity consumption periods, normal electricity consumption periods, and off-peak electricity consumption periods before demand response. , , These are the energy consumption during peak electricity consumption periods, normal electricity consumption periods, and off-peak electricity consumption periods before demand response; , , These represent the changes in energy consumption during peak electricity consumption periods, normal electricity consumption periods, and off-peak electricity consumption periods, respectively, after demand response. , , These are the energy consumption elasticity coefficients for peak electricity consumption periods, normal electricity consumption periods, and off-peak electricity consumption periods, respectively. It is the peak period for electricity consumption. For use of level segment, This is the off-peak period for electricity consumption.

[0065] Therefore, the changes in electrical load at each time point after the demand response are added to the known electrical load demand at each time point before the demand response. Electricity load demand at each time point after receiving demand response .

[0066] In one implementation, for the aforementioned step S203, i.e., when obtaining the amount of wind power curtailed after demand response based on the actual output of the wind turbine and the electrical and thermal load demands after demand response, the following methods may be adopted, including but not limited to: First, the heating capacity of the electric boiler after demand response is determined based on the heat load demand after demand response. In practice, the heating equipment after demand response only includes the electric boiler after demand response; therefore, the heating capacity of the electric boiler after demand response is equal to the heat load demand after demand response.

[0067] Then, based on the heating power and output model of the electric boiler after demand response, the wind power consumed by the heating equipment after demand response is obtained.

[0068] In practical implementation, the power output model of the electric boiler after demand response is as follows:

[0069] in, Let t be the heating power of the electric boiler after the demand response; For a moment t The amount of wind power consumed by the electric boiler after demand response; This refers to the electro-thermal conversion efficiency.

[0070] After demand response, the actual output of the electric boiler meets the following constraints:

[0071] in, This represents the lower limit of electric boiler power after demand response. This represents the upper limit of electric boiler power after demand response. For a moment t The actual output of the electric boiler after demand response.

[0072] In this embodiment of the invention, based on the heat load demand after demand response... Get the time t The heating capacity of the electric boiler after demand response, i.e. = Then, based on the power output model of the electric boiler after demand response, the wind power consumed by the heating equipment after demand response is obtained. .

[0073] Finally, based on the actual output of the wind turbine, the electrical load demand at each time after the demand response, and the wind power consumed by the heating equipment after the demand response, the amount of wind power curtailed at each time after the demand response and the total amount of wind power curtailed after the demand response are obtained.

[0074] In practical implementation, the amount of wind curtailment at each time after demand response and the total amount of wind curtailment after demand response are obtained using the following formulas:

[0075]

[0076] in, This represents the total amount of wind power curtailed after demand response. For a moment t Wind power curtailment following demand response; For a moment t Electricity load demand following demand response; For a moment t The amount of electricity consumed by the electric boiler for heating after demand response.

[0077] In one embodiment, the method further includes: determining the charging and discharging state of the battery based on the amount of wind power curtailed at each time after the demand response; wherein, if the amount of wind power curtailed after the demand response at the target time is less than zero, the battery discharges, and the amount of discharge is equal to the absolute value of the amount of wind power curtailed after the demand response at the target time; if the amount of wind power curtailed after the demand response at the target time is greater than or equal to zero, the battery charges, and the amount of charging is equal to the amount of wind power curtailed after the demand response at the target time.

[0078] In practical implementation, a battery capacity model is established, namely:

[0079]

[0080]

[0081] in, For a moment t Battery capacity; For a moment t -1. Battery capacity; For a moment t The charging capacity of the battery; For a moment t The discharge capacity of the battery; For a moment t The charging power of the battery; For the charging efficiency of the storage battery; For a moment t The discharge power of the battery; This refers to the discharge efficiency of the battery.

[0082] The battery capacity meets the following constraints:

[0083]

[0084] in, This refers to the minimum charging power of the battery. This is the maximum charging power of the battery. This is the minimum discharge power of the battery; This is the maximum discharge power of the battery.

[0085] At that moment t Actual output of the wind turbine Less than time t Wind power consumption of heating equipment after demand response With time t Post-demand response to electrical load demand When the sum of the times is reached, the time obtained is... t Wind power curtailment after demand response Less than 0; at time t Actual output of the wind turbine Greater than or equal to time t Wind power consumption of heating equipment after demand response With time t Post-demand response to electrical load demand When the sum of the times is reached, the time obtained is... t Wind power curtailment after demand response Greater than or equal to 0.

[0086] At that moment t Wind power curtailment after demand response When the value is less than 0, the battery discharges to assist the fan in powering the circuit; when the value is less than 0, the battery discharges to assist the fan in powering the circuit. t Wind power curtailment after demand response When the charge is greater than or equal to 0, the battery is charged; the charge amount Equal to time t Wind power curtailment after demand response ,Right now = Discharge quantity Equal to time t Wind power curtailment after demand response The absolute value of , i.e. | ∣= .

[0087] The virtual power plant wind power consumption method provided in this embodiment of the invention has the following technical effects: (1) A comprehensive demand response mechanism for electricity and heat load is constructed. Combined with the peak-valley time-differentiated adjustment and PMV index optimization logic, the problem of insufficient precision and delayed response of decentralized load regulation is solved. It can more flexibly adapt to the randomness and volatility of wind power, maximize the potential of load-side collaborative absorption, and the absorption efficiency is significantly better than that of a single load regulation scheme.

[0088] (2) The present invention forms an integrated closed-loop logic of “load coordination - energy storage assistance - wind power consumption”, which links the charging and discharging status of the battery with the dynamic control of the wind power curtailment, avoiding the disconnect between the energy storage equipment and the load regulation. It not only solves the problem of high cost and large loss when relying solely on energy storage equipment, but also improves the stability and reliability of the entire virtual power plant system.

[0089] (3) This invention establishes a full-process model system covering wind power forecasting, load demand, equipment output, and energy storage status, realizing full-process quantitative control from wind power output forecasting to consumption effect evaluation, providing accurate data support for the formulation of control strategies, and the control accuracy far exceeds the existing simple output allocation or threshold control schemes.

[0090] (4) This invention judges the absorption effect by the difference in wind curtailment power, and coordinates the regulation of energy storage and load. While significantly reducing the wind curtailment rate and increasing the wind power absorption, it optimizes the battery charging and discharging strategy to reduce energy consumption and achieves precise control of the operating cost of the virtual power plant, taking into account both technological advancement and economic feasibility.

[0091] In addition to the virtual power plant wind power consumption method provided in the foregoing embodiments, this invention also provides a virtual power plant wind power consumption device, see [link to relevant documentation]. Figure 3 The schematic diagram shown illustrates the structure of a virtual power plant wind power integration device, indicating that the device mainly comprises the following parts: The wind turbine output calculation module 301 is used to obtain the actual output of the wind turbine based on the acquired wind speed parameters and the pre-established wind turbine output model.

[0092] The pre-response calculation module 302 is used to obtain the electrical load demand and thermal load demand before the demand response, and to obtain the curtailed wind power before the demand response based on the actual output of the wind turbine and the electrical load demand and thermal load demand before the demand response.

[0093] The demand response calculation module 303 is used to obtain the electrical load demand and thermal load demand after the demand response, and to obtain the curtailed wind power based on the actual output of the wind turbine and the electrical load demand and thermal load demand after the demand response.

[0094] The wind power consumption judgment module 304 is used to determine whether the wind power consumption meets the expected requirements based on the difference between the wind curtailment volume before demand response and the wind curtailment volume during demand response.

[0095] The virtual power plant wind power consumption device provided in this embodiment of the invention obtains the amount of wind power curtailed before and after the demand response based on the electrical load demand and thermal load demand before and after the demand response, combined with the actual wind turbine output obtained from the wind turbine output model, and judges the effect of wind power consumption based on the amount of wind power curtailed before and after the demand response. In this way, it can realize the coordinated regulation of the electrical load and thermal load of the virtual power plant and improve the effect of wind power consumption of the virtual power plant.

[0096] In one implementation, the wind speed parameters include: cut-in wind speed, cut-out wind speed, rated wind speed, and real-time wind speed; the aforementioned wind turbine output calculation module 301 is specifically used to: input the cut-in wind speed, cut-out wind speed, rated wind speed, and real-time wind speed into a pre-established wind turbine output model to obtain the actual wind turbine output.

[0097] In one embodiment, the aforementioned pre-response calculation module 302 is specifically used to: obtain the heat load parameters before the demand response, and based on the heat load parameters before the demand response, obtain the heat load demand before the demand response; and based on the user electricity consumption at each time before the demand response, obtain the electricity load demand at each time before the demand response.

[0098] In one implementation, the aforementioned pre-demand response calculation module 302 is specifically used to: determine the heating power of the electric boiler before the demand response based on the heat load demand before the demand response; obtain the wind power consumed by the heating equipment before the demand response based on the heating power of the electric boiler before the demand response and the output model of the electric boiler before the demand response; and obtain the wind power curtailment at each time before the demand response and the total wind power curtailment before the demand response based on the actual output of the fan, the electrical load demand at each time before the demand response, and the wind power consumed by the heating equipment before the demand response.

[0099] In one embodiment, the demand response post-calculation module 303 is specifically used to: obtain the heat load parameters after the demand response, and obtain the heat load demand after the demand response based on the heat load parameters after the demand response; obtain the electrical load change at each time after the demand response, and obtain the electrical load demand at each time after the demand response based on the electrical load change at each time after the demand response and the electrical load demand at each time before the demand response.

[0100] In one embodiment, the demand response post-calculation module 303 is specifically used to: determine the heating power of the electric boiler after the demand response based on the heat load demand after the demand response; obtain the wind power consumed by the heating equipment after the demand response based on the heating power of the electric boiler after the demand response and the output model of the electric boiler after the demand response; and obtain the wind power curtailment at each time after the demand response and the total wind power curtailment after the demand response based on the actual output of the fan, the electrical load demand at each time after the demand response and the wind power consumed by the heating equipment after the demand response.

[0101] In one embodiment, the above-mentioned device further includes: a battery control module, used to: determine the charging and discharging state of the battery based on the amount of wind curtailment at each time after the demand response; wherein, if the amount of wind curtailment after the demand response at the target time is less than zero, the battery discharges, and the amount of discharge is equal to the absolute value of the amount of wind curtailment after the demand response at the target time; if the amount of wind curtailment after the demand response at the target time is greater than or equal to zero, the battery charges, and the amount of charging is equal to the amount of wind curtailment after the demand response at the target time.

[0102] It should be noted that the device provided in the embodiments of the present invention has the same implementation principle and technical effect as the aforementioned method embodiments. For the sake of brevity, any parts not mentioned in the device embodiments can be referred to the corresponding content in the aforementioned method embodiments.

[0103] This invention also provides an electronic device, specifically, the electronic device includes a processor and a storage device; the storage device stores a computer program, and the computer program, when run by the processor, executes the method described in any of the above embodiments.

[0104] Figure 4 The present invention provides a schematic diagram of the structure of an electronic device 100, which includes a processor 40, a memory 41, a bus 42 and a communication interface 43. The processor 40, the communication interface 43 and the memory 41 are connected through the bus 42. The processor 40 is used to execute executable modules, such as computer programs, stored in the memory 41.

[0105] The memory 41 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 43 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc.

[0106] Bus 42 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0107] The memory 41 is used to store programs. After receiving an execution instruction, the processor 40 executes the program. The method executed by the device for defining the flow process disclosed in any of the foregoing embodiments of the present invention can be applied to the processor 40 or implemented by the processor 40.

[0108] Processor 40 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 40 or by instructions in software form. Processor 40 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory 41. The processor 40 reads the information in memory 41 and, in conjunction with its hardware, completes the steps of the above method.

[0109] The computer program product of the readable storage medium provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods described in the foregoing method embodiments. For specific implementation, please refer to the foregoing method embodiments, which will not be repeated here.

[0110] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0111] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for wind power consumption in a virtual power plant, characterized in that, include: Based on the acquired wind speed parameters of the wind turbine and the pre-established wind turbine output model, the actual output of the wind turbine is obtained; Obtain the electrical load demand and thermal load demand before demand response, and based on the actual output of the wind turbine and the electrical load demand and thermal load demand before demand response, obtain the amount of wind curtailment before demand response. The electrical load demand and thermal load demand after the demand response are obtained, and the amount of wind power curtailed after the demand response is obtained based on the actual output of the wind turbine and the electrical load demand and thermal load demand after the demand response. Based on the difference between the amount of wind power curtailed before the demand response and the amount of wind power curtailed during the demand response, it is determined whether the wind power consumption meets the expected requirements.

2. The method according to claim 1, characterized in that, The wind speed parameters include: cut-in wind speed, cut-out wind speed, rated wind speed, and real-time wind speed; based on the acquired wind speed parameters of the wind turbine and the pre-established wind turbine output model, the actual output of the wind turbine is obtained, including: The cut-in wind speed, the cut-out wind speed, the rated wind speed, and the real-time wind speed are input into a pre-established wind turbine output model to obtain the actual wind turbine output.

3. The method according to claim 1, characterized in that, Obtain the electrical and thermal load demands prior to demand response, including: Obtain the heat load parameters before demand response, and based on the heat load parameters before demand response, obtain the heat load demand before demand response; Based on the user electricity consumption at each time point before the demand response, the electrical load demand at each time point before the demand response is obtained.

4. The method according to claim 3, characterized in that, Based on the actual output of the wind turbine and the electrical and thermal load demands before demand response, the amount of wind power curtailed before demand response is obtained, including: The heating capacity of the electric boiler before the demand response is determined based on the heat load demand before the demand response. Based on the heating power of the electric boiler before demand response and the output model of the electric boiler before demand response, the wind power consumed by the heating equipment before demand response is obtained. Based on the actual output of the wind turbine, the electrical load demand at each time before the demand response, and the wind power consumed by the heating equipment before the demand response, the amount of wind power curtailed at each time before the demand response and the total amount of wind power curtailed before the demand response are obtained.

5. The method according to claim 3, characterized in that, Obtain the electrical and thermal load demands after the demand response, including: Obtain the heat load parameters after the demand response, and based on the heat load parameters after the demand response, obtain the heat load demand after the demand response; The changes in electrical load at each time point after the demand response are obtained, and the electrical load demand at each time point after the demand response is obtained based on the changes in electrical load at each time point after the demand response and the electrical load demand at each time point before the demand response.

6. The method according to claim 5, characterized in that, Based on the actual output of the wind turbine and the electrical and thermal load demands after demand response, the amount of wind power curtailed after demand response is obtained, including: The heating power of the electric boiler after the demand response is determined based on the heat load demand after the demand response. Based on the heating power and output model of the electric boiler after demand response, the wind power consumed by the heating equipment after demand response is obtained. Based on the actual output of the wind turbine, the electrical load demand at each time after the demand response, and the wind power consumed by the heating equipment after the demand response, the amount of wind power curtailed at each time after the demand response and the total amount of wind power curtailed after the demand response are obtained.

7. The method according to claim 1, characterized in that, Also includes: Based on the amount of wind power curtailed at each time point after demand response, the charging and discharging state of the battery is determined. If the amount of wind power curtailed after demand response at the target time is less than zero, the battery discharges, and the amount of discharge is equal to the absolute value of the amount of wind power curtailed after demand response at the target time. If the amount of wind power curtailed after demand response at the target time is greater than or equal to zero, the battery charges, and the amount of charging is equal to the amount of wind power curtailed after demand response at the target time.

8. A virtual power plant wind power consumption device, characterized in that, include: The wind turbine output calculation module is used to obtain the actual output of the wind turbine based on the acquired wind speed parameters and the pre-established wind turbine output model. The pre-demand response calculation module is used to obtain the electrical load demand and thermal load demand before demand response, and to obtain the amount of wind power curtailed before demand response based on the actual output of the wind turbine and the electrical load demand and thermal load demand before demand response. The demand response calculation module is used to obtain the electrical load demand and thermal load demand after the demand response, and to obtain the curtailed wind power based on the actual output of the wind turbine and the electrical load demand and thermal load demand after the demand response. The wind power consumption judgment module is used to determine whether the wind power consumption meets the expected requirements based on the difference between the amount of wind power curtailed before the demand response and the amount of wind power curtailed during the demand response.

9. An electronic device, characterized in that, The method includes a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program thereon, characterized in that, The computer program is executed by the processor to perform the steps of the method described in any one of claims 1 to 7.

Images