Industrial park power dispatching method and device, electronic equipment and storage medium

Abstract

The invention provides an industrial park power dispatching method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring wind power and photovoltaic output curves in a preset dispatching period and a power load curve of an industrial park; respectively establishing models for the operation processes of an energy storage device, an electric automobile and a central air conditioner in the industrial park by utilizing the wind power and photovoltaic output curves and the power load curve of the industrial park; constructing a load distribution planning model based on the models of the operation processes of the energy storage device, the electric vehicle and the central air conditioner in the industrial park; obtaining a load distribution scheme corresponding to the minimum model value of the load distribution planning model in a preset scheduling period by using a mathematical planning solver; and carrying out load distribution on an energy storage device, an electric automobile and a central air conditioner in the industrial park by utilizing the load distribution scheme. By comprehensively considering various adjustable resources, energy supply and demand can be better balanced, and effective utilization of energy is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to an industrial park power dispatching method, device, electronic equipment and storage medium. Background Art

[0002] With the advancement of county-level photovoltaic and low-carbon park construction, more and more distributed resources are connected to industrial parks, such as distributed wind power, distributed photovoltaic, distributed energy storage, electric vehicle charging stations, etc. The energy supply mode of the park has changed from the original single energy supply mode to a variety of distributed resource supply, and multiple adjustable resources have been introduced, such as electric vehicles and central air conditioners. Faced with multiple energy supply modes and multiple adjustable loads, how to dispatch power loads and reduce energy consumption is a problem that industrial parks are more concerned about.

[0003] In the existing technology, the current allocation scheme for industrial loads in industrial parks often only considers a single load such as energy storage, ignoring other types of power loads that may exist in actual industrial parks. As a result, the current power dispatching method has low load allocation accuracy and is unable to fully tap the potential of the industrial park's adjustable resources, resulting in low photovoltaic and wind power consumption rates in the park, which in turn reduces economic efficiency. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, the purpose of the present invention is to propose an industrial park power dispatching method, device, electronic device and storage medium to solve the problems of low accuracy and poor economy in the load allocation of power dispatching methods and load methods in industrial parks in the prior art.

[0006] To achieve the above-mentioned object, a first aspect of the present invention provides an industrial park power dispatching method, comprising:

[0007] Obtain the output curves of wind power and photovoltaic power and the power load curve of the industrial park within the preset scheduling period;

[0008] Using the output curves of wind power and photovoltaic power and the power load curve of the industrial park, models are established for the operation processes of energy storage devices, electric vehicles and central air conditioners in the industrial park;

[0009] Based on the models of the operation process of energy storage devices, electric vehicles and central air conditioners in the industrial park, a load distribution planning model is constructed;

[0010] Using a mathematical programming solver to obtain a load distribution plan corresponding to a minimum model value of a load distribution planning model within a preset scheduling period;

[0011] The load distribution scheme is used to distribute the load to the energy storage devices, electric vehicles and central air conditioners in the industrial park.

[0012] A second aspect of the present invention provides an industrial park power dispatching device, comprising:

[0013] Output curve and load curve acquisition module, used to obtain the output curves of wind power and photovoltaic power and the power load curve of the industrial park within the preset scheduling period;

[0014] Energy storage device, electric vehicle and central air conditioning model building module, which is used to use the output curves of wind power and photovoltaic power and the power load curve of the industrial park to build models for the operation process of energy storage devices, electric vehicles and central air conditioning in the industrial park respectively;

[0015] A load distribution planning model building module is used to build a load distribution planning model based on the models of the operation processes of energy storage devices, electric vehicles and central air conditioners in the industrial park;

[0016] A load distribution scheme acquisition module is used to use a mathematical programming solver to obtain a load distribution scheme corresponding to a minimum model value of a load distribution planning model within a preset scheduling period;

[0017] The load distribution module is used to distribute the load to the energy storage devices, electric vehicles and central air conditioners in the industrial park using the load distribution plan.

[0018] A third aspect of the present invention provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method described in the first aspect when executing the computer program.

[0019] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method described in the first aspect are implemented.

[0020] The beneficial effects of the present invention are:

[0021] The present invention comprehensively considers the adjustable resources in the industrial park, such as energy storage devices, electric vehicles, and central air conditioners, and models different adjustable resources on this basis to obtain a load distribution plan, which has the following advantages:

[0022] 1. By comprehensively considering a variety of adjustable resources, we can better balance energy supply and demand and achieve efficient use of energy;

[0023] 2. By modeling different adjustable resources, load can be predicted and controlled more accurately, improving the accuracy of load distribution;

[0024] 3. By optimizing the scheduling of adjustable resources, the operating costs of the industrial park can be significantly reduced;

[0025] 4. By optimizing the scheduling of adjustable resources, we can better absorb clean energy such as wind power and photovoltaics and promote the efficient use of clean energy.

[0026] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. Among them:

[0028] Figure 1 It is a schematic diagram of the microgrid in the industrial park.

[0029] Figure 2 It is a flow chart of an industrial park power dispatching method proposed in one embodiment of the present invention.

[0030] Figure 3 It is a structural block diagram of an industrial park power dispatching device in one embodiment of the present invention.

[0031] Figure 4 It is a diagram of the internal structure of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0032] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limitations of the present invention. On the contrary, embodiments of the present invention include all changes, modifications and equivalents that fall within the spirit and connotation of the appended claims.

[0033] Figure 1 It is a schematic diagram of the microgrid in the industrial park. Figure 2 It is a flow chart of an industrial park power dispatching method proposed in one embodiment of the present invention.

[0034] Combination Figure 1 , Figure 2 As shown, the industrial park power dispatching method proposed in this embodiment includes the following steps:

[0035] Step S102, obtaining the output curves of wind power and photovoltaic power and the power load curve of the industrial park within a preset scheduling period.

[0036] In this embodiment, the preset scheduling period refers to setting the execution schedule of the task or system in advance so that it can be automatically scheduled according to the plan. The preset scheduling period can be one day or one week, and the specific value is set according to actual needs, and there is no limitation on this. For example, when the preset scheduling period is one day, in other words, this step needs to obtain the output curves of wind power and photovoltaic power and the power load curve of the industrial park on the next day. The output curves of wind power and photovoltaic power and the power load curve of the industrial park within the preset scheduling period can be obtained by prediction or clustering.

[0037] The wind power output curve shows the change trend of the power generation of the wind power station over time in a certain period of time. Similarly, the photovoltaic output curve shows the change trend of the power generation of the photovoltaic power station over time in a certain period of time. The power load curve shows the change of power load over time in a certain period of time.

[0038] Step S104, using the output curves of wind power and photovoltaic power and the power load curve of the industrial park, respectively establish models for the operation processes of the energy storage device, electric vehicle and central air conditioner in the industrial park.

[0039] Energy storage devices have the characteristics of "can be charged when not full and can be discharged when not empty", making them one of the important flexible resources of industrial parks. The state variables of the energy storage device model include the power of the energy storage device at a certain moment, the charging and discharging power of the energy storage device, and the charging and discharging efficiency.

[0040] Electric vehicles are a kind of transferable load on the demand side. The charging load of electric vehicles is different from the general static load in the power grid. Users may not need to fully charge immediately. It is enough to meet the user's demand for electric vehicle power within a specified time period. During this time period, the park can schedule when the electric vehicle is charged and the charging power to ultimately meet the needs of users. In this case, some electric vehicles can be equivalent to a dispatchable charging energy storage device. The state variables of the electric vehicle model include the number of electric vehicles in the industrial park and the total charging power of all electric vehicles.

[0041] There are a lot of central air-conditioning loads in industrial parks. The power of central air-conditioning loads is related to the temperature that needs to be adjusted. The office area is not very sensitive to the temperature of the air conditioner within a certain range. Therefore, during peak power consumption, the temperature of the air conditioner can be appropriately increased to achieve the purpose of reducing the system load. Similarly, during peak wind power and photovoltaic power generation, the air conditioner temperature can be appropriately lowered to increase the power and promote the consumption of new energy. The state variables of the central air-conditioning model include the power of the central air-conditioning.

[0042] Step S106, constructing a load distribution planning model based on the models of the operation processes of the energy storage devices, electric vehicles and central air conditioners in the industrial park.

[0043] In this embodiment, the load distribution planning model is a model used to optimize the power load distribution in the power system. The goal of the model is to minimize the cost on the basis of meeting the power demand. At the same time, the load distribution planning model must meet the constraints. The constraints include the output constraints of photovoltaic and wind power, the charging constraints of electric vehicles, and the constraints of central air conditioning.

[0044] Step S108, using a mathematical programming solver to obtain a load distribution solution corresponding to a minimum model value of a load distribution planning model within a preset scheduling period.

[0045] In this embodiment, the mathematical programming solver is a tool specially designed for solving optimization problems, and is used to find the optimal solution that satisfies given constraints. In this embodiment, the minimum model value is the minimum value of the cost. The load distribution plan includes the charging and discharging time of the energy storage device, the charging time of the electric vehicle in the industrial park and the time when it leaves the industrial park, and the time when the central air conditioner reduces the output and increases the output.

[0046] Step S110, using the load distribution plan to distribute the load to the energy storage device, electric vehicles and central air conditioners in the industrial park.

[0047] In this embodiment, the terminal or server uses the load distribution scheme to distribute the load to the energy storage device, electric vehicle and central air conditioner, which is also the optimized economic operation mode of the industrial park.

[0048] The embodiment of the present invention comprehensively considers the adjustable resources in the industrial park, such as energy storage devices, electric vehicles, and central air conditioners, and models different adjustable resources on this basis to obtain a load distribution plan, which has the following advantages:

[0049] 1. By comprehensively considering a variety of adjustable resources, we can better balance energy supply and demand and achieve efficient use of energy;

[0050] 2. By modeling different adjustable resources, load can be predicted and controlled more accurately, improving the accuracy of load distribution;

[0051] 3. By optimizing the scheduling of adjustable resources, the operating costs of the industrial park can be significantly reduced;

[0052] 4. By optimizing the scheduling of adjustable resources, we can better absorb clean energy such as wind power and photovoltaics and promote the efficient use of clean energy.

[0053] In some embodiments, in the industrial park power dispatching method, the step S104 of establishing a model for the operation process of the energy storage device in the industrial park includes:

[0054] 0≤P out,t ≤U t P ess,max (1)

[0055] 0≤P in,t ≤(1-U t ) ess,max (2)

[0056]

[0057] SOC min ≤SOC t ≤SOC max (5)

[0058] SOC 0 =SOC T (6)

[0059] Where P out,t represents the discharge power of the energy storage device at the tth moment, P in,t represents the charging power of the energy storage device at the tth moment, U t is a binary variable, P ess,max Indicates the maximum charge and discharge power of the energy storage device, E ess,t represents the electric energy of the energy storage device at the tth moment, η is the charging and discharging efficiency of the energy storage, Δt is the time interval, E ess,max is the maximum electrical energy of the energy storage device, SOC t Indicates the state of charge of the energy storage at time t, SOC min and SOC max Respectively represent the upper and lower limits of the energy storage device’s state of charge, SOC 0 Indicates the state of charge of the energy storage device at the initial moment in the preset scheduling cycle, SOC T Indicates the state of charge of the energy storage device at the last moment in the preset scheduling period.

[0060] The model of energy storage device can realize effective power management and dispatch. Energy storage device can only be in one of the three states of discharge, charge and static at any time. Energy storage device can play a buffering role in the power system, balancing supply and demand by storing and releasing electric energy. Energy storage device has the functions of peak shaving and valley filling and frequency regulation.

[0061] The inventors found that the product of binary variables and continuous variables in equations (1) and (2) is a highly nonlinear problem. If the nonlinear problem is directly calculated, the solution speed will be slow.

[0062] To this end, in one example, the operation process modeling of the energy storage device in the industrial park in step S104 further includes:

[0063] Linearize equations (1) and (2), including:

[0064] 0≤P out,t ≤P ess,max (7)

[0065] 0≤P in,t ≤P ess,max (8)

[0066] P out,t ≤MU t (9)

[0067] P in,t ≤M(1-U t ) (10)

[0068] Where M is a positive number.

[0069] Formula (1) and Formula (2) can be linearized through Formula (7) to Formula (10), and Formula (7) to Formula (10) can be used to replace Formula (1) to Formula (2), so that the mathematical programming solver can more easily realize parallel calculation and obtain higher efficiency and stability.

[0070] In some embodiments, the modeling of the operation process of electric vehicles in the industrial park in step S104 includes:

[0071]

[0072] In the formula, is the charging power of the electric vehicle at the tth moment, P EV is the rated charging power of the electric vehicle, t in is the moment when a single electric vehicle enters the industrial park, t out When a single electric vehicle leaves the industrial park, SOC out Indicates the state of charge of a single electric vehicle when entering the industrial park, SOC in represents the state of charge of a single electric vehicle when it leaves the industrial park, λ is the charging efficiency of the electric vehicle, E EV is the rated electrical energy of the electric vehicle.

[0073] The above steps obtain a charging model for a single electric vehicle. There are usually multiple electric vehicles in an industrial park. Therefore, the modeling of the operation process of electric vehicles in the industrial park in step S104 also includes:

[0074] Build an aggregation model from a single electric vehicle to an electric vehicle cluster. The aggregation model includes:

[0075]

[0076] In the formula, represents the maximum charging power of electric vehicles that can be dispatched, represents the minimum charging power of electric vehicles that can be dispatched, is the electric energy of the electric vehicle cluster at time t, is the total electrical energy of the electric vehicle cluster, It is the electric energy retained when the electric vehicle cluster is connected to the grid. is the average state of charge of electric vehicles when they are connected to the grid, and N is the number of electric vehicles contained in the charging stations in the industrial park.

[0077] The model of electric vehicle cluster is conducive to better power management and dispatch. The charging power range of dispatchable electric vehicles is positively correlated with the number of electric vehicles. The more electric vehicles there are, the larger the dispatchable charging power range is. When the number of charging electric vehicles is large enough, it can be considered that is a continuous variable. As a flexible load resource, electric vehicles participate in demand response projects and respond to the dispatching needs of the power grid by adjusting the charging time and power, thereby reducing the peak load of the power grid. The electric vehicle cluster model supports the consumption of wind power and photovoltaic resources, and balances the intermittency and volatility of wind power and photovoltaics through the charging dispatch of electric vehicles.

[0078] In some embodiments, the step S104 of establishing a model for the operation process of the central air conditioner in the industrial park includes:

[0079]

[0080] In the formula, is the load power of the industrial park at time t, Indicates the active power of the central air conditioner at the lowest cooling temperature. Indicates the active power of the central air conditioner at the maximum cooling temperature.

[0081] The central air conditioning model can provide a basis for energy management and energy conservation and emission reduction. By adjusting the temperature of the central air conditioning, low energy consumption can be achieved. Central air conditioning is also conducive to the consumption of wind power and photovoltaic resources, and balances the intermittency and volatility of wind power and photovoltaics.

[0082] In some embodiments, in the industrial park power dispatching method, step S106 constructs a load distribution planning model based on the models of the operation processes of the energy storage device, the electric vehicle, and the central air conditioner in the industrial park, including:

[0083] Set the objective function:

[0084]

[0085] In the formula, minC is the minimum cost of the industrial park to purchase electricity from the power grid. is the load power of the industrial park at the tth moment, They represent the actual output of photovoltaic power. Indicates the actual output of wind power. represents the charging power of the nth electric car at the tth moment, is the output of the central air conditioning load at the tth moment, P in,t They represent the charging power of the energy storage device at the tth moment, P out,t represents the discharge power of the energy storage device at the tth moment, represents the electricity price at time t.

[0086] In other words, the load dispatch planning model takes the lowest cost of purchasing electricity from the grid as its goal.

[0087] Set constraints:

[0088] a. Output constraints of photovoltaic and wind power:

[0089]

[0090] In the formula, and They represent the predicted output of photovoltaic and wind power at time t respectively;

[0091] b. Electric vehicle charging constraints:

[0092] The operation constraints of the electric vehicle cluster satisfy equations (13) to (17);

[0093] The power constraint for electric vehicles is:

[0094] SOC exp,min,n ≤SOC out,n ≤1 (21)

[0095] In the formula, SOC exp,min,n The SOC represents the minimum state of charge that the nth electric vehicle can tolerate when leaving the park. out,n Indicates the charge state of the nth electric vehicle when it leaves the park;

[0096] c. Central air conditioning constraint: The central air conditioning constraint must satisfy equation (18);

[0097] d. Energy storage device constraints: The energy storage device constraints satisfy equations (3) to (10).

[0098] The above constraints on electric vehicles, central air conditioners, and energy storage devices are very important for ensuring the safe and stable operation of the system and achieving the optimization goals. For electric vehicles, constraints can enable electric vehicles to charge more electricity before leaving, meet driving needs, and prevent charging stations from overloading. For central air conditioners, constraints can enable central air conditioners to reduce energy consumption and improve energy efficiency. For energy storage devices, constraints can enable energy storage devices to overcharge or overdischarge, ensure equipment safety, and extend service life.

[0099] The embodiment of the present invention also proposes an industrial park power dispatching device 200, including: an output curve and load curve acquisition module 201, an energy storage device, electric vehicle and central air conditioning model establishment module 202, a load distribution planning model construction module 203, a load distribution plan acquisition module 204 and a load distribution module 205.

[0100] The output curve and load curve acquisition module 201 is used to obtain the output curves of wind power and photovoltaic power and the power load curve of the industrial park within a preset scheduling period.

[0101] The energy storage device, electric vehicle and central air conditioning model building module 202 is used to use the output curves of wind power and photovoltaic power and the power load curve of the industrial park to build models for the operation processes of the energy storage device, electric vehicle and central air conditioning in the industrial park.

[0102] The load distribution planning model building module 203 is used to build a load distribution planning model based on the models of the operation processes of the energy storage device, electric vehicles and central air conditioners in the industrial park.

[0103] The load distribution plan acquisition module 204 is used to use a mathematical programming solver to acquire a load distribution plan corresponding to a minimum model value of a load distribution planning model within a preset scheduling period.

[0104] The load distribution module 205 is used to distribute the load to the energy storage device, electric vehicles and central air conditioners in the industrial park using the load distribution plan.

[0105] It should be noted that the various modules of the industrial park power dispatching device provided in this embodiment are based on the same concept as the embodiment of the method of the present invention, and the technical effects brought about are the same as those of the embodiment of the method of the present invention. The specific contents can be referred to the description in the embodiment of the method of the present invention, and will not be repeated here.

[0106] Figure 4FIG. 1 is an internal structure diagram of an electronic device according to an embodiment of the present invention. Figure 4 As shown, an embodiment of the present invention further provides an electronic device, including a memory 302 and a processor 301, wherein the memory 302 stores a computer program 303. When the processor 301 executes the computer program 303, the steps in the above-mentioned various method embodiments are implemented, for example Figure 2 Alternatively, when the processor 301 executes the computer program 303, the functions of each module in the above-mentioned device embodiments are implemented, for example Figure 3 Functions of modules 201 to 205 are shown.

[0107] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method embodiments are implemented.

[0108] Computer-readable media may include: any entity or device that can carry the computer program code, recording media, USB flash drives, mobile hard disks, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0109] It should be noted that, in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "plurality" is two or more.

[0110] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection, an electrical connection, or communication with each other; it can be a direct connection, or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0111] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0112] In the description of the present invention, the directions or positional relationships indicated by the terms "left", "right", "front", "rear", etc. are based on the directions or positional relationships shown in the accompanying drawings and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention.

[0113] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0114] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0115] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for dispatching power in an industrial park, characterized in that: include: Obtain the output curves of wind power and photovoltaic power and the power load curve of the industrial park within the preset scheduling period; Using the output curves of wind power and photovoltaic power and the power load curve of the industrial park, models are established for the operation processes of energy storage devices, electric vehicles and central air conditioners in the industrial park; Based on the models of the operation process of energy storage devices, electric vehicles and central air conditioners in the industrial park, a load distribution planning model is constructed; Using a mathematical programming solver to obtain a load distribution plan corresponding to a minimum model value of a load distribution planning model within a preset scheduling period; The load distribution scheme is used to distribute the load to the energy storage devices, electric vehicles and central air conditioners in the industrial park.

2. The industrial park power dispatching method according to claim 1, characterized in that: The obtaining of wind power and photovoltaic output curves and the power load curve of the industrial park within the preset scheduling period includes: The output curves of wind power and photovoltaic power and the power load curve of the industrial park within the preset scheduling period are obtained through prediction or clustering methods.

3. The industrial park power dispatching method according to claim 1, characterized in that: The operation process model of the energy storage device in the industrial park includes: 0≤P out,t ≤U t P ess ,max (1) 0≤P in,t ≤(1-U t )P ess ,max (2) SOC min ≤SOC t ≤SOC max (5) SOC0=SOC T (6) Where P out,t represents the discharge power of the energy storage device at the tth moment, P in,t represents the charging power of the energy storage device at the tth moment, U t is a binary variable, P ess,max Indicates the maximum charge and discharge power of the energy storage device, E ess,t represents the electric energy of the energy storage device at the tth moment, η is the charging and discharging efficiency of the energy storage, Δt is the time interval, E ess,max is the maximum electrical energy of the energy storage device, SOC t Indicates the state of charge of the energy storage at time t, SOC min and SOC max They represent the upper and lower limits of the state of charge of the energy storage device, respectively. SOC0 represents the state of charge of the energy storage device at the initial moment in the preset scheduling cycle, and SOC T Indicates the state of charge of the energy storage device at the last moment in the preset scheduling period.

4. The industrial park power dispatching method according to claim 3, characterized in that: The operation process model of the energy storage device in the industrial park also includes: Formula (1) and Formula (2) are linearized, and the linearization includes: 0≤P out,t ≤P ess ,max (7) 0≤P in,t ≤P ess,max (8) P out,t ≤MU t (9) P in,t ≤M(1-U t ) (10) Wherein, M is a positive number.

5. The industrial park power dispatching method according to claim 4, characterized in that: The operation process model of electric vehicles in the industrial park includes: In the formula, is the charging power of the electric vehicle at the tth moment, P EV is the rated charging power of the electric vehicle, t in is the moment when a single electric vehicle enters the industrial park, t out When a single electric vehicle leaves the industrial park, SOC out Indicates the state of charge of a single electric vehicle when entering the industrial park, SOC in represents the state of charge of a single electric vehicle when it leaves the industrial park, λ is the charging efficiency of the electric vehicle, E EV is the rated electrical energy of the electric vehicle.

6. The industrial park power dispatching method according to claim 5, characterized in that: The operation process model of electric vehicles in the industrial park also includes: An aggregation model is established from a single electric vehicle to an electric vehicle cluster, and the aggregation model includes: In the formula, represents the maximum charging power of electric vehicles that can be dispatched, represents the minimum charging power of electric vehicles that can be dispatched, is the electric energy of the electric vehicle cluster at time t, is the total electrical energy of the electric vehicle cluster, It is the electric energy retained when the electric vehicle cluster is connected to the grid. is the average state of charge of electric vehicles when they are connected to the grid, and N is the number of electric vehicles contained in the charging stations in the industrial park.

7. The industrial park power dispatching method according to claim 6, characterized in that: The operation process model of the central air conditioner in the industrial park includes: In the formula, is the load power of the industrial park at time t, Indicates the active power of the central air conditioner at the lowest cooling temperature. Indicates the active power of the central air conditioner at the maximum cooling temperature.

8. The industrial park power dispatching method according to claim 7, characterized in that: The load distribution planning model constructed based on the model of the operation process of the energy storage device, electric vehicle and central air conditioner in the industrial park includes: Set the objective function: In the formula, minC is the minimum cost of the industrial park to purchase electricity from the power grid. is the load power of the industrial park at the tth moment, They represent the actual output of photovoltaic power. Indicates the actual output of wind power. represents the charging power of the nth electric car at the tth moment, is the output of the central air conditioning load at the tth moment, P in,t They represent the charging power of the energy storage device at the tth moment, P out,t represents the discharge power of the energy storage device at the tth moment, represents the electricity price at time t; Set constraints: a. Output constraints of photovoltaic and wind power: In the formula, and They represent the predicted output of photovoltaic and wind power at time t respectively; b. Electric vehicle charging constraints: The operation constraints of the electric vehicle cluster satisfy equations (13) to (17); The power constraint for electric vehicles is: SOC exp,min,n ≤SOC out,n ≤1 (21) In the formula, SOC exp,min,n The SOC represents the minimum state of charge that the nth electric vehicle can tolerate when leaving the park. out,n Indicates the charge state of the nth electric vehicle when it leaves the park; c. Central air conditioning constraint: The central air conditioning constraint must satisfy equation (18); d. Energy storage device constraints: The energy storage device constraints satisfy equations (3) to (10).

9. An industrial park power load device, characterized in that: include: Output curve and load curve acquisition module, used to obtain the output curves of wind power and photovoltaic power and the power load curve of the industrial park within the preset scheduling period; Energy storage device, electric vehicle and central air conditioning model building module, which is used to use the output curves of wind power and photovoltaic power and the power load curve of the industrial park to build models for the operation process of energy storage devices, electric vehicles and central air conditioning in the industrial park respectively; A load distribution planning model building module is used to build a load distribution planning model based on the models of the operation processes of energy storage devices, electric vehicles and central air conditioners in the industrial park; A load distribution scheme acquisition module is used to use a mathematical programming solver to obtain a load distribution scheme corresponding to a minimum model value of a load distribution planning model within a preset scheduling period; The load distribution module is used to distribute the load to the energy storage devices, electric vehicles and central air conditioners in the industrial park using the load distribution plan.

10. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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