Industrial park energy storage scheduling method, electronic equipment, storage medium and program product

Abstract

The invention provides an industrial park energy storage scheduling method, electronic equipment, a storage medium and a program product, and relates to the technical field of energy storage scheduling. The industrial park energy storage scheduling method comprises the steps that a received energy storage scheduling instruction is responded, energy storage information of corresponding energy storage equipment in a region is acquired through a power grid direct control port on each energy storage equipment in the region, and the energy storage scheduling instruction comprises a scheduling mode and a demand quantity; according to the energy storage information and charging and discharging strategies of the industrial parks in the future preset time period, the electric energy adjustable quantity of the area is determined, and the charging and discharging strategies reflect the independent allocation requirements of the industrial parks for the energy storage equipment in the future preset time period; and performing energy storage scheduling on the energy storage equipment in the region according to the scheduling mode, the demand quantity, the charging and discharging strategy of each industrial park in the future preset time period and the electric energy adjustable quantity. The method is used for improving the stability of a power grid and ensuring the quality of electric energy.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage scheduling, and in particular, to a method for energy storage scheduling in industrial parks, an electronic device, a storage medium, and a program product. Background Art

[0002] As large load nodes, industrial parks tend to be concentrated in a certain area and are powered by one or more 220 kV substations with close geographical locations.

[0003] In related technologies, in order to reduce electricity bills, some small-scale wind turbines and photovoltaic and other renewable energy power generation facilities are built in industrial parks to generate electricity using renewable energy resources and cooperate with grid power supply to meet the power demand of industrial parks. However, renewable energy resources are unstable, which may lead to large grid fluctuations and it is difficult to guarantee power quality. Summary of the Invention

[0004] The present application provides a method for energy storage scheduling in industrial parks, an electronic device, a storage medium, and a program product, so as to achieve the effect of improving grid stability and guaranteeing power quality.

[0005] In a first aspect, the present application provides a method for energy storage scheduling in industrial parks, which is used to uniformly schedule energy storage devices in industrial parks within a region. A grid direct control port is provided on the energy storage device. The method for energy storage scheduling in industrial parks includes:

[0006] In response to receiving an energy storage scheduling instruction, obtain the energy storage information of the corresponding energy storage devices in the region through the grid direct control ports on the energy storage devices in the region. The energy storage scheduling instruction includes: a scheduling method and a demand quantity;

[0007] Determine the adjustable power quantity of the region according to the energy storage information and the charge and discharge strategies of each industrial park in a future preset time period. The charge and discharge strategies reflect the independent deployment requirements of the industrial park for the energy storage device in the future preset time period;

[0008] Perform energy storage scheduling on the energy storage devices in the region according to the scheduling method, the demand quantity, the charge and discharge strategies of each industrial park in the future preset time period, and the adjustable power quantity.

[0009] In a possible implementation manner, performing energy storage scheduling on the energy storage devices in the region according to the scheduling method, the demand quantity, the charge and discharge strategies of each industrial park in the future preset time period, and the adjustable power quantity includes:

[0010] Determine whether the adjustable power quantity meets the demand quantity under the scheduling method according to the scheduling method, the demand quantity, and the adjustable power quantity;

[0011] If the adjustable power quantity meets the demand quantity under the scheduling method, perform energy storage regulation on the energy storage devices in the region;

[0012] If the adjustable electric energy does not meet the demand under the dispatching mode, according to the demand, the adjustable electric energy, the charging and discharging strategies of each industrial park in the future preset time period, and the industrial park level, perform the corresponding restriction processing on the industrial parks in the region, so that the adjustable electric energy after the restriction processing in the region maximally meets the demand; perform energy storage regulation on the energy storage devices in the region.

[0013] In a possible implementation manner, the restriction processing includes energy storage restriction and power consumption restriction. According to the demand, the adjustable electric energy, the charging and discharging strategies of each industrial park in the future preset time period, and the industrial park level, perform the corresponding restriction processing on the industrial parks in the region, including:

[0014] If the dispatching mode is charging, perform energy storage restriction on the industrial parks in the region according to the demand, the adjustable electric energy, the charging and discharging strategies of each industrial park in the future preset time period, and the industrial park level;

[0015] If the dispatching mode is discharging, perform power consumption restriction on the industrial parks in the region according to the demand, the adjustable electric energy, the charging and discharging strategies of each industrial park in the future preset time period, and the industrial park level.

[0016] In a possible implementation manner, performing energy storage regulation on the energy storage devices in the region includes:

[0017] Determine the target energy storage devices in the region that can respond to the energy storage dispatching instruction according to the energy storage information corresponding to each industrial park, the charging and discharging strategies in the future preset time period, and the dispatching mode;

[0018] Allocate electric energy to the target energy storage devices according to the energy storage information corresponding to the target energy storage devices, the charging and discharging strategies in the future preset time period, and the demand, and the sum of the electric energy corresponding to the target energy storage devices maximally meets the demand;

[0019] Based on the electric energy and the dispatching mode, dispatch the corresponding target energy storage devices to respond to the energy storage dispatching instruction.

[0020] In a possible implementation manner, it further includes:

[0021] If the adjustable electric energy after the restriction processing in the region does not meet the demand, send an alarm of insufficient dispatching capacity to the power grid.

[0022] In a possible implementation manner, the charging and discharging strategy is obtained through the following method:

[0023] Obtain the basic information, energy storage information, and time-of-use electricity price of the industrial park;

[0024] Solve the energy storage scheduling model according to the basic information, energy storage information, and time-of-use electricity price to obtain the optimal solution of the objective function under the set constraints. The energy storage scheduling model includes an objective function and set constraints. The objective function reflects the mapping relationship between the charge and discharge amount of the energy storage device, the number of energy storage devices in the industrial park, the total number of scheduling periods, the time-of-use price of each period, and the net load of the industrial park in the future preset period;

[0025] According to the optimal solution, determine the charge and discharge strategy of the industrial park in the future preset period.

[0026] In a possible implementation manner, the set constraints include power constraint, energy storage state of charge constraint, charge and discharge state constraint of the energy storage, charge and discharge power constraint of the energy storage, and charge and discharge depth control constraint, where:

[0027] The power constraint is determined according to the net power of the industrial park in the future preset period, the power consumption of each energy storage device during discharge, and the power gain of each energy storage device during charging;

[0028] The energy storage state of charge constraint is determined according to the energy storage state of charge of the energy storage device at the current time period, the charging energy in the future preset period, the self-discharge loss in the future preset period, and other energy losses in the future preset period;

[0029] The charge and discharge state constraint of the energy storage is determined according to the charging instruction for peak-valley arbitrage, the discharging instruction for peak-valley arbitrage, the charging instruction for reducing prediction deviation, and the discharging instruction for reducing prediction deviation of the energy storage device in the future preset period;

[0030] The charge and discharge power constraint of the energy storage is determined according to the charging instruction for peak-valley arbitrage, the discharging instruction for peak-valley arbitrage, the charging instruction variable for reducing prediction deviation, the discharging instruction variable for reducing prediction deviation, and the charge and discharge power range of each energy storage device in the future preset period;

[0031] The charge and discharge depth control constraint is determined according to the maximum demand and the deep peak shaving capacity of the industrial park.

[0032] In a second aspect, the present application provides an energy storage scheduling device for an industrial park, which is used to uniformly schedule the energy storage devices in the industrial park within the region. A grid direct control port is provided on the energy storage device. The energy storage scheduling method for the industrial park includes:

[0033] An acquisition module, which is used to respond to receiving an energy storage scheduling instruction, and obtain the energy storage information of the corresponding energy storage device in the region through the grid direct control port on each energy storage device in the region. The energy storage scheduling instruction includes: scheduling method and demand;

[0034] A processing module, configured to determine the adjustable power of the region according to the energy storage information and the charge and discharge strategies of each industrial park in a future preset period, where the charge and discharge strategies reflect the independent deployment requirements of the industrial park for energy storage devices in the future preset period;

[0035] A control module, configured to perform energy storage scheduling on the energy storage devices in the region according to the scheduling method, demand, charge and discharge strategies of each industrial park in a future preset period, and the adjustable power of the region.

[0036] In a possible implementation manner, the control module is configured to:

[0037] Determine whether the adjustable power meets the demand under the scheduling method according to the scheduling method, demand, and adjustable power of the region;

[0038] If the adjustable power meets the demand under the scheduling method, perform energy storage regulation on the energy storage devices in the region;

[0039] If the adjustable power does not meet the demand under the scheduling method, perform a restriction process corresponding to the scheduling method on the industrial parks in the region according to the demand, adjustable power, charge and discharge strategies of each industrial park in a future preset period, and the industrial park level, so that the adjustable power of the region after the restriction process maximally meets the demand; perform energy storage regulation on the energy storage devices in the region.

[0040] In a possible implementation manner, the restriction process includes energy storage restriction and power consumption restriction, and the control module is further configured to:

[0041] If the scheduling method is charging, perform energy storage restriction on the industrial parks in the region according to the demand, adjustable power, charge and discharge strategies of each industrial park in a future preset period, and the industrial park level;

[0042] If the scheduling method is discharging, perform power consumption restriction on the industrial parks in the region according to the demand, adjustable power, charge and discharge strategies of each industrial park in a future preset period, and the industrial park level.

[0043] In a possible implementation manner, the control module is further configured to:

[0044] Determine the target energy storage devices in the region that can respond to the energy storage scheduling instruction according to the energy storage information, charge and discharge strategies in a future preset period, and scheduling method corresponding to each industrial park;

[0045] Allocate electric energy to the target energy storage devices according to the energy storage information, charge and discharge strategies in a future preset period, and demand corresponding to the target energy storage devices, and the sum of the electric energy corresponding to the target energy storage devices maximally meets the demand;

[0046] Based on the electric energy and the scheduling method, schedule the corresponding target energy storage devices to respond to the energy storage scheduling instruction.

[0047] In a possible implementation, the processing module is further configured to:

[0048] If the adjustable power of the area after the limit processing does not meet the demand, an alarm of insufficient dispatching capacity is sent to the power grid.

[0049] In a possible implementation, the charge-discharge strategy is obtained through the following steps:

[0050] Obtain the basic information, energy storage information and time-of-use electricity price of the industrial park;

[0051] According to the basic information, energy storage information and time-of-use electricity price, solve the energy storage dispatching model to obtain the optimal solution of the objective function under the set constraints. The energy storage dispatching model includes an objective function and set constraints. The objective function reflects the mapping relationship between the charge-discharge amount of the energy storage device, the number of energy storage devices in the industrial park, the total number of dispatching periods, the time-of-use price of each period, and the net load of the industrial park in the future preset period;

[0052] According to the optimal solution, determine the charge-discharge strategy of the industrial park in the future preset period.

[0053] In a possible implementation, the set constraints include power constraint, energy storage state of charge constraint, charge-discharge state constraint of the energy storage, charge-discharge power constraint of the energy storage, and charge-discharge depth control constraint, where:

[0054] The power constraint is determined according to the net power of the industrial park in the future preset period, the power consumption of each energy storage device during discharge, and the power gain of each energy storage device during charging;

[0055] The energy storage state of charge constraint is determined according to the energy storage state of charge of the energy storage device at the current time, the charging energy in the future preset period, the self-discharge loss in the future preset period, and other energy losses in the future preset period;

[0056] The charge-discharge state constraint of the energy storage is determined according to the charging indication for peak-valley arbitrage, the discharging indication for peak-valley arbitrage, the charging indication for reducing prediction deviation, and the discharging indication for reducing prediction deviation of the energy storage device in the future preset period;

[0057] The charge-discharge power constraint of the energy storage is determined according to the charging indication for peak-valley arbitrage, the discharging indication for peak-valley arbitrage, the charging indication variable for reducing prediction deviation, the discharging indication variable for reducing prediction deviation, and the charge-discharge power range of each energy storage device in the future preset period;

[0058] The charge-discharge depth control constraint is determined according to the maximum demand and deep peak shaving capacity of the industrial park.

[0059] In a third aspect, the present application provides an electronic device, including: a memory and a processor;

[0060] The memory stores computer-executable instructions;

[0061] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementation manners of the first aspect.

[0062] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the above first aspect and / or various possible implementation manners of the first aspect.

[0063] In a fifth aspect, the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the above first aspect and / or various possible implementation manners of the first aspect.

[0064] The energy storage scheduling method, electronic device, storage medium and program product provided by the present application uniformly schedule the energy storage devices in industrial parks within a region, making full use of resources. When receiving an energy storage scheduling instruction, the energy storage information of each energy storage device in the region is obtained through the grid direct control port on the energy storage device. According to the obtained energy storage information and combined with the charge and discharge strategies of each industrial park in a preset future period, the adjustable power amount of the entire region is determined. According to the scheduling method, demand, charge and discharge strategies of industrial parks, and the adjustable power amount of electric energy, precise energy storage scheduling is performed on the energy storage devices in the region. Through the energy storage scheduling method for industrial parks, unified and efficient scheduling of energy storage devices in industrial parks can be realized, meeting the energy demands of each industrial park at different times, optimizing energy allocation, and reducing energy waste. Through precise energy storage scheduling, the stability and reliability of the power grid can also be improved, grid fluctuations can be reduced, and the power quality can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings here are incorporated into the specification and constitute a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0066] Figure 1 It is a schematic diagram of the scenario of the energy storage scheduling method for industrial parks provided by an embodiment of the present application;

[0067] Figure 2 It is a schematic flowchart of the energy storage scheduling method for industrial parks provided by an embodiment of the present application;

[0068] Figure 3 It is a schematic structural diagram of the energy storage scheduling device for industrial parks provided by an embodiment of the present application;

[0069] Figure 4 Schematic diagram of the structure of the electronic device provided by the embodiment of the present application.

[0070] Through the above-mentioned drawings, specific embodiments of the present application have been shown, and more detailed descriptions will be given in the following text. These drawings and text descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. Specific embodiments

[0071] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0072] First, the embodiment of the present application will briefly introduce the objective functions of three energy storage operation models in industrial parks. . Including: peak shaving and valley filling capacity , power fluctuation and power supply shortage index , where:

[0073] 1) Peak shaving and valley filling capacity , including:

[0074] The energy storage system transfers the load power consumption by low storage and high output, meets the demand-side response, and achieves the purpose of peak shaving and valley filling. In order to characterize the peak shaving and valley filling capacity, the ratio of the variance of the system net load power to the maximum value of the net load is selected as the quantization index. The smaller the value, the more uniform the load distribution in each period, the flatter the system net load curve, and the greater the role of the energy storage system in peak shaving and valley filling. The peak shaving and valley filling capacity is expressed as:

[0075]

[0076] Among them, is the net load power of the system in the high-penetration photovoltaic grid-connected scenario, is the data statistics duration, is the maximum value of the net load.

[0077] 2) Power fluctuation , including:

[0078] There is power exchange between the grid-connected photovoltaic power supply and the power grid. When the output power of the high-penetration distributed photovoltaic power supply fluctuates greatly, the voltage fluctuations of the key nodes in the power grid are obvious, and even may exceed the limit. By dividing the sampling interval into equal-length time intervals , taking the average value of the peak-valley difference of the net load power in each time period of the sampling interval as the index to measure the ability of the energy storage system to smooth power fluctuations, the power fluctuation amount has the unit of kW, the smaller it is, the smoother the net load power is and the smaller the fluctuation amplitude is. The definition of the power fluctuation amount is as follows:

[0079]

[0080] wherein, and are respectively the maximum and minimum values of the net load power within the time interval Δt. is the data statistical duration, is the number of equal-time intervals, is the unit time interval length.

[0081] 3) Index of insufficient power supply , including:

[0082] Power supply reliability refers to the ability of the power system to continuously supply power, and it is an important index for evaluating the power quality of the power system. The calculation formula of the index of insufficient power supply is as follows:

[0083]

[0084] wherein, is the amount of discarded power at each moment, is the load amount at each moment. The lower the insufficient power supply rate is, the stronger the power supply reliability of the power system is and the more it can meet the needs of users.

[0085] In the related art, the industrial park, as a large load node of the power system, is usually centrally powered by a single or multiple 220 kV substations with close geographical locations. 1) In order to reduce electricity costs, industrial parks generally build small wind turbines, photovoltaics and other renewable energy resources. Through the internal power generation dispatching system, the industrial park manages the renewable energy resources within the industrial park in a unified manner, but there is a problem that it cannot effectively utilize the resources of other industrial parks in the region. At the same time, renewable energy resources are unstable, which may lead to large fluctuations in the power grid and difficult to guarantee power quality. 2) The power grid needs to manage industrial parks in a unified manner. Especially during demand-side response, it is necessary to accurately grasp the adjustable capacity of industrial parks. In the related art, the power grid determines the adjustable capacity through manual negotiation with industrial parks, and there is a problem of lack of a unified declaration system for industrial parks. At the same time, different power generation dispatching systems are used to evaluate the adjustable capacity of each industrial park, and the dimensions of the indicators are different and cannot be directly weighted, resulting in the power grid being difficult to ensure the safe and stable operation of the system and difficult to conduct unified resource allocation.

[0086] The industrial park energy storage dispatching method provided by the embodiment of the present application integrates the renewable energy resources of each industrial park into block renewable resources by deploying energy storage devices, enabling each industrial park within the block to centrally allocate and store the electric energy and energy storage in the energy storage devices. The industrial park energy storage dispatching method can provide charging support or discharge supplement for the industrial park to ensure stable and reliable power supply for the industrial park. At the same time, a direct control port of the power grid is reserved in the energy storage device to ensure the effective management and dispatching of the power grid for the energy storage device. When the power grid conducts demand-side response, the power grid dispatches the energy storage device through the industrial park energy storage dispatching method to provide emergency power guarantee when the power supply of the power grid is insufficient and provide energy storage capacity when the power of the power grid is excessive. Through a unified energy storage dispatching model, the power grid can obtain accurate and dimensionally unified adjustable capacity, enabling the power grid to have the ability to conduct unified resource allocation under the condition of ensuring the safe and stable operation of the system. Through the above technical means, peak shaving and valley filling on weekdays and unified allocation during demand-side response are realized, achieving the effects of optimizing the power load of the power grid, reducing grid fluctuations, and ensuring power quality.

[0087] Figure 1 It is a schematic diagram of the scenario of the industrial park energy storage dispatching method provided by the embodiment of the present application. As Figure 1 shown, the specific application scenario of the present application includes: Industrial Park 11, Energy Storage Device 12, and Power Grid 13. Among them:

[0088] A direct control port 14 of the power grid is deployed in the energy storage device 12. Through the direct control port 14 of the power grid, the power grid 13 can communicate with the energy storage device 12 and control the energy storage device 12. Through the direct control port 14 of the power grid, the power grid 13 can obtain the energy storage information of the energy storage device 12 in real time.

[0089] Industrial park 11 can discharge the electricity stored in energy storage device 12 to meet its own electricity demand. At the same time, when there is surplus power, industrial park 11 can also charge energy storage device 12 to store the excess power. Similarly, power grid 13 also has the ability to discharge the electricity stored in energy storage device 12 and can charge energy storage device 12 according to the actual demand of the power grid.

[0090] Power grid 13 manages the usage rights of industrial park 11 to energy storage device 12 through the grid direct control port 14 to ensure the reasonable distribution and efficient utilization of electric energy. In addition, power grid 13 can be connected to multiple energy storage devices 12, and one energy storage device 12 can also be connected to one or two or more industrial parks 11. Power grid 13 uniformly manages and allocates the usage rights of each industrial park 11 connected to energy storage device 12 to energy storage device 12 through the grid direct control port 14 in energy storage device 12.

[0091] The technical solution of the present application and how the technical solution of the present application solves the above technical problems will be described in detail below with specific embodiments. These several specific embodiments below can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0092] Figure 2 It is a schematic flowchart of the industrial park energy storage scheduling method provided by the embodiments of the present application. As Figure 2 shown, this method is used to uniformly schedule the energy storage devices in the industrial parks within the region. A grid direct control port is set on the energy storage device. The industrial park energy storage scheduling method includes:

[0093] S201. In response to receiving an energy storage scheduling instruction, obtain the energy storage information of the corresponding energy storage device within the region through the grid direct control ports on each energy storage device within the region. The energy storage scheduling instruction includes: scheduling method and demand.

[0094] Energy storage scheduling instructions are usually commands issued by the superior power grid or dispatching center. Energy storage scheduling instructions include the scheduling method and the demand quantity. Among them, the scheduling method includes discharging and charging, and the demand quantity corresponds to the electrical energy required for the scheduling method. Optionally, one energy storage scheduling instruction only includes one scheduling method. The grid direct control port is deployed on the energy storage device and is an interface that can realize communication and control between the energy storage device and the grid. On the one hand, the grid can obtain the energy storage information in the corresponding energy storage device in real time through the grid direct control port. The energy storage information includes the current state, remaining power, and charge-discharge capacity of the energy storage device. On the other hand, the grid can also manage the corresponding energy storage device through the grid direct control port. The management of the energy storage device by the grid is not limited to the monitoring and control of the energy storage device itself, but also includes the permission management of each industrial park connected to the energy storage device. Specifically, the grid can set and adjust the permission for the industrial park to use the energy storage device according to actual needs through the grid direct control port. Among them, the permission to use the energy storage device includes the charging permission to use the energy storage device and the discharging permission to use the energy storage device.

[0095] When the scheduling method is charging, the power output in the grid is excessive, and it is necessary to increase the power consumption to utilize the excessive energy. At this time, the demand quantity refers to the magnitude of the energy to be released, that is, the demand capacity. Optionally, the scheduling method can be peak shaving demand or other ways of excessive power output. When the scheduling method is discharging, the electrical energy in the grid is insufficient, and it is necessary to obtain electrical energy resources outside the grid. At this time, the demand quantity refers to the magnitude of the energy to be obtained, that is, the demand electrical energy. Optionally, the scheduling method is demand response or any other way of insufficient electrical energy.

[0096] When receiving the energy storage scheduling instruction, the grid communicates with each energy storage device in the region through the grid direct control port to obtain the energy storage information of each energy storage device.

[0097] S202. Determine the adjustable electrical energy of the region according to the energy storage information and the charge-discharge strategies of each industrial park in the future preset period. The charge-discharge strategy reflects the independent deployment requirements of the industrial park for the energy storage device in the future preset period.

[0098] The charging and discharging strategy of the industrial park in the future preset period is a specific plan for charging the energy storage device or discharging the energy storage device within a certain period in the future formulated by the industrial park according to the influencing factors of the electric energy in the industrial park. The influencing factors of the electric energy in the industrial park include: the production plan of the industrial park, the forecast of energy demand, renewable energy resources, and electricity charges. The specific plan for charging the energy storage device or discharging the energy storage device by the industrial park can reflect the independent deployment requirements of the industrial park for the energy storage device in the future preset period. The adjustable electric energy quantity is an index value indicating the flexible adjustment ability of the energy storage devices in the region after considering the charging and discharging strategies of each industrial park in the future preset period and the energy storage information of the energy storage devices. The adjustable electric energy quantity includes the adjustable capacity and the adjustable electricity quantity. The adjustable capacity is the sum of the energy storage adjustable capacities of all the energy storage devices in the region, and the adjustable electricity quantity is the sum of the energy storage adjustable electricity quantities of all the energy storage devices in the region.

[0099] In this step, first, the available electricity quantity and available capacity of the current energy storage device are obtained according to the energy storage information. The available electricity quantity is the electricity quantity already stored in the current energy storage device, and the available capacity is the power capacity that the current energy storage device can still accommodate. Optionally, the sum of the available electricity quantity and the power capacity is equal to the total capacity of the energy storage device. Then, according to the charging and discharging strategies of each industrial park in the future preset period, the corresponding electricity consumption and usage capacity of each energy storage device required by each industrial park in the future preset period are determined. The electricity consumption is the power consumption for each industrial park to use the power provided by the energy storage device to meet the power supply demand in the future preset period. The usage capacity is the storage capacity of the energy storage device when each industrial park stores electricity in the energy storage device in the future preset period.

[0100] After that, based on the available electricity quantity, available capacity, usage capacity, and electricity consumption, the adjustable electric energy quantity of the energy storage device that can respond to the dispatching instruction and adjust the electric energy is determined within the entire region.

[0101] Optionally, the energy storage adjustable capacity = available capacity - usage capacity + electricity consumption; the energy storage adjustable electricity quantity = available electricity quantity - electricity consumption + usage capacity. The energy storage adjustable capacities corresponding to each energy storage are accumulated and summed to obtain the adjustable capacity; the energy storage adjustable electricity quantities corresponding to each energy storage are accumulated and summed to obtain the adjustable electricity quantity.

[0102] S203. Perform energy storage dispatching on the energy storage devices in the region according to the dispatching method, demand quantity, and adjustable electric energy quantity.

[0103] In this step, according to the dispatching method, demand quantity, and adjustable electric energy quantity, a specific charging plan and discharging plan for the energy storage devices are formulated, and the permissions of the industrial parks in the region to use the energy storage devices are managed. By performing energy storage dispatching on the energy storage devices in the region, the balance between power supply and demand is ensured, and at the same time, the grid operation efficiency is optimized and the energy cost is reduced.

[0104] The energy storage dispatching method for industrial parks provided by the embodiments of the present application collects energy storage information and analyzes the charging and discharging strategies of each industrial park in a future preset period by responding to the received energy storage dispatching instruction, and determines the adjustable electric energy quantity. By fully considering the actual electricity consumption demands of each industrial park in the future preset period and the energy storage information of energy storage devices, it can truly and comprehensively reflect the actual size of the adjustable electric energy quantity that can be adjusted within the regional scope. The improvement of the accuracy of the adjustable electric energy quantity helps the power grid to perform electric energy dispatching and management more precisely, ensuring the balance and stability of power supply and demand. Energy storage dispatching is carried out for industrial parks according to the adjustable electric energy quantity, improving the electric energy utilization efficiency and enhancing the flexibility of the power grid. Through precise dispatching, the power grid fluctuations are smoothed, the power quality is improved, and the stable and reliable power supply is ensured.

[0105] In a possible implementation manner, step S203 may further include:

[0106] S2031. Determine whether the adjustable electric energy quantity meets the demand quantity under the dispatching method according to the dispatching method, the demand quantity, and the adjustable electric energy quantity.

[0107] When the dispatching method is charging, determine whether the adjustable electric energy quantity meets the demand capacity under the dispatching method according to the demand capacity and the adjustable capacity. If the demand capacity is less than or equal to the adjustable capacity, it is determined that the adjustable electric energy quantity meets the demand quantity under the dispatching method. If the demand capacity is greater than the adjustable capacity, the energy storage device cannot meet the demand capacity in the future preset period, and it is determined that the adjustable electric energy quantity does not meet the demand quantity under the dispatching method.

[0108] When the dispatching method is discharging, determine whether the adjustable electric energy quantity meets the demand electric quantity under the dispatching method according to the demand electric quantity and the adjustable electric quantity. If the demand electric quantity is less than or equal to the adjustable electric quantity, it is determined that the adjustable electric energy quantity meets the demand electric quantity under the dispatching method. If the demand electric quantity is greater than the adjustable electric quantity, the energy storage device cannot meet the demand electric quantity in the future preset period, and it is determined that the adjustable electric energy quantity does not meet the demand quantity under the dispatching method.

[0109] S2032. If the adjustable electric energy quantity meets the demand quantity under the dispatching method, perform energy storage regulation on the energy storage devices in the region.

[0110] Energy storage regulation is a method of controlling and managing the electric energy resources of each industrial park and each energy storage device according to the energy storage dispatching instruction and the adjustable electric energy quantity.

[0111] When the dispatching method is charging, perform energy storage regulation on the energy storage devices in the region. The energy storage regulation at this time includes the power grid using the energy storage device for charging, that is, the power grid stores the excess energy in the energy storage device.

[0112] When the scheduling method is discharging, energy storage regulation is performed on the energy storage devices in the area. The energy storage regulation at this time includes the power grid using the energy storage devices to discharge, that is, the power grid using the energy stored in the energy storage devices.

[0113] Through energy storage regulation, it is possible to ensure the balance between power supply and demand of the power grid, improve the utilization efficiency of electric energy and reduce the fluctuations of the power grid.

[0114] S2033. If the adjustable power amount does not meet the demand under the scheduling method, according to the demand, the adjustable power amount, and the industrial park level in the area, corresponding restriction processing of the scheduling method is performed on the industrial parks in the area, so that the adjustable power amount in the area after the restriction processing maximally meets the demand; energy storage regulation is performed on the energy storage devices in the area.

[0115] The restriction processing is a processing method that restricts the use of energy storage devices in industrial parks to increase the adjustable power amount of the corresponding scheduling method in the current area. The industrial park level is a level divided according to factors such as the importance of the industrial park and the power demand. The level of the industrial park determines the priority of power guarantee when the power supply is tense. Optionally, the higher the industrial park level, the higher the priority of power supply guarantee.

[0116] When performing the restriction processing, first, consider the industrial park level and give priority to ensuring the power supply of important parks. For industrial parks with the same level, restriction processing is performed separately in sequence. Optionally, the sequence can be the sequence determined according to the charge and discharge strategy of the industrial park in a future preset time period; the sequence can also be the sequence determined according to the electricity consumption situation of the industrial park. The sequence of performing restriction processing on industrial parks with the same level is not limited here, and those skilled in the art can select a suitable sequence according to actual operation requirements.

[0117] Secondly, after performing the restriction processing on the industrial parks, update the adjustable power amount so that the adjustable power amount in the area after the restriction processing maximally meets the demand. Perform energy storage regulation on the industrial parks in the area according to the demand and the adjustable power amount to maximally meet the demand.

[0118] The purpose of this step is to minimize the impact on industrial parks during the energy storage scheduling of the power grid, enhance the stability of the power grid, avoid unnecessary losses caused by power outages in industrial parks, so as to ensure the stable operation of the power grid and ensure that the power supply in key areas is not affected.

[0119] A restriction processing method provided by an embodiment of the present application, in Figure 2Based on the embodiments, the restriction processing method will be described in detail. The restriction processing includes energy storage restriction and power consumption restriction. According to the demand volume, the adjustable power volume, the charge and discharge strategies of each industrial park in a future preset period, and the industrial park level, corresponding restriction processing is performed on the industrial parks in the region, including:

[0120] Both energy storage restriction and power consumption restriction are specific implementation manners of restriction processing. Energy storage restriction is a restriction processing method that restricts the charging permission of industrial parks using energy storage devices to ensure that the power grid can obtain as much energy storage device capacity as possible. Power consumption restriction is a method that restricts the discharging permission of industrial parks using energy storage devices to ensure that the power grid can obtain as much energy in the energy storage devices as possible.

[0121] S301. If the dispatching method is charging, energy storage restriction is performed on the industrial parks in the region according to the demand volume, the adjustable power volume, the charge and discharge strategies of each industrial park in a future preset period, and the industrial park level.

[0122] When the dispatching method is charging, the power grid needs to store excess energy. At this time, the demand volume refers to the demand capacity. The situation where the adjustable power volume does not meet the demand volume under the dispatching method means that the available capacity is less than the demand capacity. At this time, energy storage restriction is performed on the industrial parks in the region according to the demand capacity, the available capacity, and the industrial park level.

[0123] Specifically, according to the industrial park level and the charge and discharge strategies of each industrial park in a future preset period, target industrial parks that are planned to perform charging operations on energy storage devices in the future preset period and have relatively low power supply priorities are determined. The charging operations and permissions of the target industrial parks for the energy storage devices are sequentially closed to adjust the load distribution of the power grid.

[0124] After closing each industrial park, the available capacity is re-determined to accurately grasp the load change of the power grid after closing the target industrial park. It is judged whether the available capacity is greater than or equal to the demand power volume (demand capacity). If the available capacity is greater than or equal to the demand power volume (demand capacity), at this time, the power grid is already in a relatively abundant and stable state, and there is no need to maintain the supply-demand balance by restricting energy storage, so the energy storage restriction is stopped.

[0125] If the available capacity is less than the demand volume, then in sequence, the next target industrial park is closed in turn, and the available capacity is re-determined and compared with the demand capacity. This is done until all the target industrial parks in the region have been closed, or the available capacity is greater than or equal to the demand capacity.

[0126] S302. If the dispatching method is discharging, power consumption restriction is performed on the industrial parks in the region according to the demand volume, the adjustable power volume, the charge and discharge strategies of each industrial park in a future preset period, and the industrial park level.

[0127] When the scheduling method is discharging, the power grid needs to obtain energy from the outside. At this time, the demand refers to the demand for electricity. The adjustable amount of electric energy does not meet the demand under the scheduling method, which means that the available electricity is less than the demand for electricity. At this time, energy storage restrictions are imposed on industrial parks in the region according to the demand for electricity, the available electricity, and the industrial park level.

[0128] Specifically, according to the industrial park level and the charge-discharge strategies of each industrial park in the future preset time period, determine the target industrial parks that are planned to perform discharge operations on energy storage devices in the future preset time period and have relatively low power supply priorities. Implement the charging operation and permissions of the target industrial parks for the energy storage devices in turn to adjust the load distribution of the power grid.

[0129] For each industrial park closed, re-determine the available electricity, and accurately grasp the load change of the power grid after closing the target industrial park. Judge whether the available electricity is greater than or equal to the demand for electricity. If the available electricity is greater than or equal to the demand for electricity, stop the energy storage restriction.

[0130] If the available electricity is less than the demand for electricity, then in order, close the next target industrial park in turn, and re-determine and compare the available electricity with the demand for electricity. Until all the target industrial parks in the region have been closed, or the available electricity is greater than or equal to the demand for electricity.

[0131] The restriction processing method provided by the embodiments of the present application imposes energy storage restrictions and power consumption restrictions on industrial parks by comprehensively considering the demand, the adjustable amount of electric energy, the charge-discharge strategies of each industrial park in the future preset time period, and the industrial park level. Through energy storage restrictions, it can be ensured that the power grid resources will not be over-consumed during charging scheduling, thus maintaining the stable operation of the power grid; through power consumption restrictions, the power consumption behavior of industrial parks can be effectively adjusted during discharging scheduling, reducing the load fluctuation of the power grid, and ensuring that the power supply in key areas is not affected. Achieve the effect of minimizing the impact on industrial parks, enhancing the stability of the power grid, and avoiding unnecessary losses caused by power outages during the process of energy storage regulation.

[0132] A kind of energy storage regulation method provided by the embodiments of the present application, on the basis of Figure 2 the embodiments, elaborate on the energy storage regulation method. This method is used for energy storage regulation of industrial parks in the region, including:

[0133] S401. According to the energy storage information corresponding to each industrial park, the charge-discharge strategies in the future preset time period, and the scheduling method, determine the target energy storage devices in the region that can respond to the energy storage scheduling instructions.

[0134] If the scheduling method is charging, determine the target energy storage devices in the area that can respond to charging according to the energy storage information corresponding to the industrial park and the charge-discharge strategy in a future preset period. Among them, the target energy storage devices that can respond to charging refer to the energy storage devices with available capacity greater than the capacity threshold. The capacity threshold is a set standard used to determine whether the energy storage device has sufficient capacity to accept charging. Optionally, the capacity threshold can be set to 0, which means that as long as the available capacity of the energy storage device is greater than 0, it can be regarded as a target energy storage device that can respond to charging.

[0135] If the scheduling method is discharging, determine the target energy storage devices in the area that can respond to discharging according to the energy storage information corresponding to the industrial park and the charge-discharge strategy in a future preset period. Among them, the target energy storage devices that can respond to discharging refer to the energy storage devices with available power greater than the power threshold. The power threshold is a set standard used to determine whether the energy storage device has sufficient power to discharge. Optionally, the power threshold can be set to 0, which means that as long as the energy storage device has available power, it can be regarded as a target energy storage device that can respond to discharging.

[0136] By determining the target energy storage devices in the area that can respond to the energy storage scheduling instructions, ensure the most reasonable and efficient utilization of power resources, achieving the effects of enhancing the stability and reliability of the power grid and reducing the operating costs of the power grid.

[0137] S402. Allocate electrical energy to the target energy storage devices according to the energy storage information corresponding to the target energy storage devices, the charge-discharge strategy in a future preset period, and the demand, so that the sum of the electrical energy corresponding to the target energy storage devices maximally meets the demand.

[0138] Allocate electrical energy to the energy storage devices according to the energy storage information corresponding to the energy storage devices, combined with the charge-discharge strategy and the demand in a future preset period.

[0139] If the scheduling method is charging, obtain the adjustable storage capacity corresponding to each target energy storage device according to the energy storage information corresponding to the target energy storage devices and the charge-discharge strategy in a future preset period. Allocate electrical energy to each target energy storage device according to the adjustable storage capacity corresponding to each target energy storage device. At this time, allocating electrical energy to each target energy storage device includes: allocating capacity electrical energy to each target energy storage device, where the capacity electrical energy is the capacity for the power grid to charge the target energy storage device. The sum of the capacity electrical energy corresponding to each target energy storage device maximally meets the demand.

[0140] If the scheduling method is discharging, according to the energy storage information corresponding to the target energy storage device and the charge-discharge strategy in a future preset period, the adjustable energy of each target energy storage device is obtained. According to the adjustable energy of each target energy storage device, electrical energy is allocated to each target energy storage device. At this time, allocating electrical energy to each target energy storage device includes: allocating electrical energy in terms of quantity to each target energy storage device, and the electrical energy in terms of quantity is the quantity of electricity for the grid to discharge the target energy storage device. The sum of the electrical energy in terms of quantity corresponding to each target energy storage device is maximized to meet the demand.

[0141] When allocating electrical energy, ensure that the sum of the electrical energy allocated to all target energy storage devices is maximized to meet the demand, make full use of the adjustable capacity and adjustable energy of the energy storage devices, and make the sum of the allocated electrical energy as close as possible to and meet the actual demand. By maximizing the satisfaction of the demand, the utilization rate of the energy storage devices can be improved, effectively supporting the stable operation of the power grid.

[0142] S403. Based on the electrical energy and the scheduling method, schedule the corresponding target energy storage device to respond to the energy storage scheduling instruction.

[0143] The power grid schedules the corresponding target energy storage device to respond to the energy storage scheduling instruction according to the electrical energy and the scheduling method of each target energy storage device.

[0144] When the scheduling method is charging, schedule the target energy storage device to respond to the energy storage scheduling instruction. Specifically, charge each target energy storage device, and ensure that the charging quantity of each target energy storage device is equal to the electrical energy corresponding to the target energy storage device, ensuring that the energy storage device is fully charged.

[0145] When the scheduling method is determined to be discharging, it is necessary to schedule the target energy storage device to respond to the energy storage scheduling instruction. Specifically, discharge each target energy storage device, and ensure that the discharging quantity of each target energy storage device is equal to the electrical energy corresponding to the target energy storage device, effectively using the electrical energy stored in the energy storage device to meet the power demand of the power grid or a specific area.

[0146] The energy storage regulation method provided by the embodiments of the present application screens out the target energy storage devices that can respond to the energy storage scheduling instruction according to the energy storage information corresponding to each industrial park, the charge-discharge strategy in a future preset period, and the scheduling method. According to the energy storage information, charge-discharge strategy, and demand of the target energy storage device, electrical energy is allocated to the target energy storage device to ensure that the sum of the provided electrical energy is maximized to meet the demand. Finally, based on the electrical energy and the scheduling method, schedule the corresponding target energy storage device to respond to the energy storage scheduling instruction. It realizes the reasonable and efficient utilization of energy storage device resources, enhancing the stability and reliability of the power grid.

[0147] In a possible implementation manner, if the adjustable amount of electric energy in the area after the limit processing does not meet the demand, an alarm of insufficient dispatching capacity is sent to the power grid.

[0148] The alarm of insufficient dispatching capacity can remind dispatchers or automation systems to pay attention to the current imbalance between power supply and demand in the power grid and avoid the occurrence of power grid accidents.

[0149] A method for determining the charging and discharging strategy for a future preset time period provided by an embodiment of the present application will be described in detail based on the Figure 2 embodiment. The method is used to obtain the charging and discharging strategies of each industrial park in the area for the future preset time period, including:

[0150] S501. Obtain the basic information, energy storage information, and time-of-use electricity price of the industrial park.

[0151] The basic information of the industrial park includes: the number of energy storage devices in the industrial park the total number of dispatching time periods in the industrial park the industrial park at time period net load the industrial park at time period net load without superimposing the charging and discharging power of energy storage the industrial park the maximum demand that needs to control the demand and the industrial park deep peak shaving capacity .

[0152] The energy storage information includes: the maximum state of charge limit of the energy storage device the minimum state of charge limit of the energy storage device the energy storage device configured with energy storage at time period discharge power for reducing demand-side electricity charges the energy storage device configured with energy storage at time period charging power for responding to deep peak shaving of the power grid the energy storage device at time period state of charge of the energy storage at time period energy storage charging power for peak-valley arbitrage the energy storage device at time period energy storage discharge power for peak-valley arbitrage the energy storage device at time period , energy storage device Rated power of energy storage , energy storage device During Energy storage charging state for peak-valley arbitrage , energy storage device During Indicator variable of energy storage discharge state for peak-valley arbitrage , energy storage device During Energy storage charging state for reducing prediction deviation , energy storage device During Energy storage discharge state for reducing prediction deviation , energy storage device Maximum charge-discharge power of energy storage and energy storage device Minimum charge-discharge power of energy storage .

[0153] Time-of-use electricity price Indicates the electricity price during Time period.

[0154] S502. According to the basic information, energy storage information, and time-of-use electricity price, solve the energy storage scheduling model to obtain the optimal solution of the objective function under the set constraints. The energy storage scheduling model includes an objective function and set constraints. The objective function reflects the mapping relationship between the charge-discharge amount in the industrial park, the number of energy storage devices in the industrial park, the total number of scheduling time periods, the time-of-use price of each time period, and the net load of the industrial park in the future preset time period.

[0155] The energy storage scheduling model is a mathematical model used to optimize the charge-discharge strategy of energy storage devices. The objective function is a mathematical expression that measures the quality of the charge-discharge strategy and may aim to minimize electricity costs, etc. in energy storage scheduling. The set constraints are the limitations that must be satisfied when solving the optimization problem. The charge-discharge amount refers to the amount of electricity charged or discharged by the energy storage device within a specific time period. The number of energy storage devices in the industrial park is the total number of energy storage devices in the region. The total number of scheduling time periods is the number of time periods considered for energy storage scheduling. The time-of-use price of each time period is the electricity price corresponding to each scheduling time period. The net load of the industrial park in the future preset time period is the net demand after subtracting renewable energy generation from the electricity demand.

[0156] In a possible implementation, the objective function is the number of energy storage devices in the industrial park , the total number of scheduling time periods in the industrial park , time period Time-of-use price and industrial park In the future preset time period Mapping relationship of the payload.

[0157] Optionally, the objective function is: .

[0158] S503. Determine the charging and discharging strategy of the industrial park in a future preset time period according to the optimal solution.

[0159] The optimal solution can reflect the charging and discharging amounts in the industrial park. Determine the charging and discharging strategy of the industrial park in a future preset time period according to the optimal solution. The charging and discharging strategy of the industrial park in a future preset time period will guide the charging and discharging behavior of the energy storage device in each future time period of the industrial park.

[0160] The method for determining the charging and discharging strategy in a future preset time period provided by the embodiment of the present application obtains the charging and discharging strategy of the industrial park in a future preset time period through mathematical optimization means and an energy storage scheduling model, which can effectively guide the balance of power supply and demand in the industrial park, reduce resource waste, and improve the stability and reliability of the power system.

[0161] In a possible implementation manner, the set constraint conditions include power constraint, energy storage state of charge constraint, charging and discharging state constraint of energy storage, charging and discharging power constraint of energy storage, and charge and discharge depth control constraint, where:

[0162] a. The power constraint is determined according to the net power of the industrial park in a future preset time period, the power consumption of each energy storage device during discharge, and the power gain of each energy storage device during charging.

[0163] The power constraint includes:

[0164]

[0165] Wherein, represents the power consumption of the energy storage device during discharge; represents the power gain of the energy storage device during charging, which is the power released by the energy storage device during charging; represents the charging power of the energy storage device ; represents the discharging power of the energy storage device .

[0166] b. The energy storage state of charge constraint is determined according to the energy storage state of charge of the energy storage device at the current time period, the charging energy in a future preset time period, the self-discharge loss in a future preset time period, and other energy losses in a future preset time period.

[0167] The energy storage state of charge constraint includes:

[0168]

[0169]

[0170]

[0171] Among them, represents the charging energy in a preset future period, represents the self-discharge energy loss in a preset future period, represents other energy losses in a preset future period,

[0172] c. The charge-discharge state constraint of the energy storage is determined according to the charging instruction for peak-valley arbitrage, the discharging instruction for peak-valley arbitrage, the charging instruction for reducing prediction deviation, and the discharging instruction for reducing prediction deviation of the energy storage device in a preset future period.

[0173] The charge-discharge state constraint of the energy storage includes:

[0174]

[0175]

[0176] Among them, , , and are all 0-1 variables. represents that the energy storage device in period does not charge the energy storage for peak-valley arbitrage; represents that the energy storage device in period charges the energy storage for peak-valley arbitrage. represents that the energy storage device in period does not discharge the energy storage for peak-valley arbitrage; represents that the energy storage device in period discharges the energy storage for peak-valley arbitrage. represents that the energy storage device in period does not charge the energy storage for reducing prediction deviation; represents that the energy storage device in period charges the energy storage for reducing prediction deviation. represents that the energy storage device in period does not discharge the energy storage for reducing prediction deviation; represents that the energy storage device in The time period is used for the energy storage discharge to reduce the prediction deviation.

[0177] d. The charge-discharge power constraint of the energy storage is determined according to the charging instruction for peak-valley arbitrage, the discharging instruction for peak-valley arbitrage, the charging instruction variable for reducing the prediction deviation, the discharging instruction variable for reducing the prediction deviation, and the charge-discharge power range of each energy storage device in a preset future time period.

[0178] The charge-discharge power constraint of the energy storage includes:

[0179]

[0180]

[0181] The charge-discharge power constraint of the energy storage indicates that the sum of the total charge-discharge powers of the energy storage devices for peak-valley arbitrage and eliminating the prediction deviation of new energy must be strictly controlled within the charge-discharge power limit range allowed by the energy storage devices themselves. The charge-discharge power constraint of the energy storage ensures that the energy storage devices will not be damaged or pose safety hazards due to exceeding the power bearing capacity during operation, and at the same time, it also ensures that the energy storage system can stably and efficiently play its roles of peak shaving, frequency modulation, and standby in the power system.

[0182] e. The charge-discharge depth control constraint is determined according to the maximum demand and the deep peak shaving capacity of the industrial park.

[0183] The charge-discharge depth control constraint includes:

[0184]

[0185] The charge-discharge depth control constraint represents the discharging power of the energy storage device set to reduce the demand electricity cost of the industrial park during peak hours , and the charging power of the energy storage device set to respond to the deep peak shaving demand of the power grid , both of which must be strictly controlled within the prediction deviation range of the industrial park. Specifically, the discharging power should not exceed the predicted negative deviation range of the industrial park to ensure that while reducing the demand electricity cost, the power supply will not be insufficient due to excessive discharging; similarly, the charging power should not exceed the predicted positive deviation range of the industrial park to ensure that while responding to the power grid peak shaving demand, energy will not be wasted or the lifespan of the energy storage device will not be damaged due to excessive charging. The charge-discharge depth control constraint helps to achieve the optimal scheduling of the energy storage device, improve the energy utilization efficiency and economic benefits of the industrial park.

[0186] Figure 3 It is a schematic structural diagram of the energy storage scheduling device for the industrial park provided by the embodiment of the present application. As Figure 3 shown, the energy storage scheduling device 30 for the industrial park provided in this embodiment includes:

[0187] The energy storage dispatching device 30 in the industrial park is used to uniformly dispatch the energy storage devices in the industrial park within the region. A grid direct control port is set on the energy storage device. The energy storage dispatching method for the industrial park includes:

[0188] An acquisition module 301, configured to respond to receiving an energy storage dispatching instruction, and obtain the energy storage information of the corresponding energy storage devices in the region through the grid direct control ports on the energy storage devices in the region. The energy storage dispatching instruction includes: a dispatching method and a demand quantity;

[0189] A processing module 302, configured to determine the adjustable electric energy quantity of the region according to the energy storage information and the charge and discharge strategies of each industrial park in a future preset time period. The charge and discharge strategies reflect the independent deployment requirements of the industrial park for the energy storage device in the future preset time period;

[0190] A control module 303, configured to perform energy storage dispatching on the energy storage devices in the region according to the dispatching method, the demand quantity, the charge and discharge strategies of each industrial park in a future preset time period, and the adjustable electric energy quantity.

[0191] In a possible implementation manner, the control module 303 is configured to:

[0192] Determine whether the adjustable electric energy quantity meets the demand quantity under the dispatching method according to the dispatching method, the demand quantity, and the adjustable electric energy quantity;

[0193] If the adjustable electric energy quantity meets the demand quantity under the dispatching method, perform energy storage regulation on the energy storage devices in the region;

[0194] If the adjustable electric energy quantity does not meet the demand quantity under the dispatching method, perform restriction processing corresponding to the dispatching method on the industrial parks in the region according to the demand quantity, the adjustable electric energy quantity, the charge and discharge strategies of each industrial park in a future preset time period, and the industrial park level, so that the adjustable electric energy quantity after the restriction processing in the region maximally meets the demand quantity; perform energy storage regulation on the energy storage devices in the region.

[0195] In a possible implementation manner, the restriction processing includes energy storage restriction and power consumption restriction. The control module 303 is further configured to:

[0196] If the dispatching method is charging, perform energy storage restriction on the industrial parks in the region according to the demand quantity, the adjustable electric energy quantity, the charge and discharge strategies of each industrial park in a future preset time period, and the industrial park level;

[0197] If the dispatching method is discharging, perform power consumption restriction on the industrial parks in the region according to the demand quantity, the adjustable electric energy quantity, the charge and discharge strategies of each industrial park in a future preset time period, and the industrial park level.

[0198] In a possible implementation manner, the control module 303 is further configured to:

[0199] Determine the target energy storage devices in the region that can respond to the energy storage dispatching instructions according to the energy storage information corresponding to each industrial park, the charging and discharging strategies and dispatching methods in a preset future period;

[0200] Allocate electrical energy to the target energy storage devices according to the energy storage information corresponding to the target energy storage devices, the charging and discharging strategies and the demand quantity in a preset future period, and the sum of the electrical energy corresponding to the target energy storage devices maximally meets the demand quantity;

[0201] Based on the electrical energy and the dispatching method, dispatch the corresponding target energy storage devices to respond to the energy storage dispatching instructions.

[0202] In a possible implementation manner, the processing module 302 is further configured to:

[0203] If the adjustable electrical energy in the region after the limit processing does not meet the demand quantity, send an alarm of insufficient dispatching capacity to the power grid.

[0204] In a possible implementation manner, the charging and discharging strategy is obtained through the following method:

[0205] Obtain the basic information, energy storage information and time-of-use electricity price of the industrial park;

[0206] Solve the energy storage dispatching model according to the basic information, energy storage information and time-of-use electricity price to obtain the optimal solution of the objective function under the set constraint conditions. The energy storage dispatching model includes an objective function and set constraint conditions, and the objective function reflects the mapping relationship between the charging and discharging amount of the energy storage device, the number of energy storage devices in the industrial park, the total number of dispatching periods, the time-of-use price of each period, and the net load of the industrial park in a preset future period;

[0207] Determine the charging and discharging strategy of the industrial park in a preset future period according to the optimal solution.

[0208] In a possible implementation manner, the set constraint conditions include power constraint, energy storage state of charge constraint, charging and discharging state constraint of the energy storage, charging and discharging power constraint of the energy storage, and charge and discharge depth control constraint, where:

[0209] The power constraint is determined according to the net power of the industrial park in a preset future period, the power consumption of each energy storage device during the discharging process, and the power gain of each energy storage device during the charging process;

[0210] The energy storage state of charge constraint is determined according to the energy storage state of charge of the energy storage device at the current time, the charging energy in a preset future period, the self-discharge loss in a preset future period, and other energy losses in a preset future period;

[0211] The charge and discharge state constraint of energy storage is determined according to the charging instruction for peak-valley arbitrage, the discharging instruction for peak-valley arbitrage, the charging instruction for reducing prediction deviation, and the discharging instruction for reducing prediction deviation of the energy storage device in a preset future period;

[0212] The charge and discharge power constraint of energy storage is determined according to the charging instruction for peak-valley arbitrage, the discharging instruction for peak-valley arbitrage, the charging instruction variable for reducing prediction deviation, the discharging instruction variable for reducing prediction deviation, and the charge and discharge power range of each energy storage device;

[0213] The charge and discharge depth control constraint is determined according to the maximum demand and the deep peak shaving capacity of the industrial park.

[0214] The industrial park energy storage scheduling device provided in this embodiment can execute the method provided in the above method embodiment, and its implementation principle and technical effect are similar, which will not be elaborated here in this embodiment.

[0215] Figure 4 It is a schematic structural diagram of an electronic device provided in an embodiment of the present application. As Figure 4 shown, the electronic device 40 provided in this embodiment includes: at least one processor 401 and a memory 402. Optionally, the device 40 further includes a communication component 403. Among them, the processor 401, the memory 402, and the communication component 403 are connected through a bus 404.

[0216] In the specific implementation process, at least one processor 401 executes the computer execution instructions stored in the memory 402, so that at least one processor 401 executes the above method.

[0217] The specific implementation process of the processor 401 can be referred to in the above method embodiment, and its implementation principle and technical effect are similar, which will not be elaborated here in this embodiment.

[0218] In the above embodiment, it should be understood that the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor.

[0219] The memory may include a random access memory (RAM), and may also include non-volatile memory (NVM), such as at least one disk memory.

[0220] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the buses in the accompanying drawings of the embodiments of the present application are not limited to only one bus or one type of bus.

[0221] The embodiments of the present application further provide a computer program product, including a computer program, which implements the above method when executed by a processor.

[0222] The embodiments of the present application further provide a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed, any of the above methods is implemented.

[0223] The above-readable storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic memory, a flash memory, a magnetic disk, or an optical disk. The readable storage medium may be any available medium accessible by a general-purpose or special-purpose computer.

[0224] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in a device.

[0225] The division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the couplings or direct couplings or communication connections shown or discussed with each other can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0226] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0227] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0228] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or this part 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 for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disks, or optical discs that can store program codes.

[0229] Those of ordinary skill in the art will understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps including those of the above method embodiments; and the aforementioned storage medium includes: various media such as ROM, RAM, magnetic disks, or optical discs that can store program codes.

[0230] Finally, it should be noted that: After considering the specification and practicing the invention disclosed herein, those skilled in the art will readily conceive of other embodiments of the present invention. The present invention is intended to cover any variations, uses, or adaptations of the present invention, which follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not disclosed by the present invention. It is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

Claims

1. An industrial park energy storage scheduling method, characterized in that: It is used to uniformly dispatch energy storage equipment in industrial parks in a region, wherein the energy storage equipment is provided with a power grid direct control port, and the industrial park energy storage dispatching method comprises: In response to receiving the energy storage dispatch instruction, obtaining energy storage information of the corresponding energy storage device in the area through the power grid direct control port on each energy storage device in the area, wherein the energy storage dispatch instruction includes: a dispatch mode and a demand amount; Determine the adjustable amount of electric energy in the area according to the energy storage information and the charging and discharging strategy of each of the industrial parks in a future preset period of time, wherein the charging and discharging strategy reflects the independent deployment requirements of the industrial park for energy storage equipment in a future preset period of time; Energy storage equipment in the area is scheduled for energy storage according to the scheduling method, the demand, the charging and discharging strategy of each industrial park in a future preset time period, and the adjustable amount of electric energy.

2. The method according to claim 1, characterized in that: The energy storage dispatching of the energy storage equipment in the region according to the dispatching mode, the demand, the charging and discharging strategy of each industrial park in a future preset time period and the adjustable amount of electric energy includes: According to the scheduling mode, the demand and the adjustable amount of electric energy, determining whether the adjustable amount of electric energy meets the demand under the scheduling mode; If the adjustable amount of electric energy meets the demand under the scheduling mode, energy storage equipment in the area is regulated; If the adjustable amount of electric energy does not meet the demand under the scheduling method, the industrial parks in the area are restricted according to the scheduling method based on the demand, the adjustable amount of electric energy, the charging and discharging strategies of each industrial park in the future preset time period and the industrial park level, so that the adjustable amount of electric energy in the area after the restriction processing can maximize the satisfaction of the demand; energy storage equipment in the area is regulated.

3. The method according to claim 2, characterized in that The restriction processing includes energy storage restriction and power consumption restriction. The restriction processing corresponding to the scheduling mode is performed on the industrial parks in the region according to the demand, the adjustable amount of electric energy, the charging and discharging strategy of each industrial park in the future preset time period and the industrial park level, including: If the scheduling mode is charging, energy storage restrictions are imposed on the industrial parks in the region according to the demand, the adjustable amount of electric energy, the charging and discharging strategies of each industrial park in a future preset period of time, and the level of the industrial park; If the scheduling mode is discharge, the power consumption of the industrial parks in the region is restricted according to the demand, the adjustable amount of electric energy, the charging and discharging strategies of each industrial park in a future preset time period and the level of the industrial park.

4. The method according to claim 2, characterized in that: The energy storage regulation of the energy storage equipment in the area includes: Determine the target energy storage equipment in the area that can respond to the energy storage scheduling instruction according to the energy storage information corresponding to each of the industrial parks, the charging and discharging strategy in the future preset time period and the scheduling method; Allocate electric energy to the target energy storage device according to the energy storage information corresponding to the target energy storage device, the charging and discharging strategy in a preset future time period, and the demand, so that the sum of the electric energy corresponding to the target energy storage device maximizes the demand; Based on the electric energy and the scheduling mode, the corresponding target energy storage device is scheduled to respond to the energy storage scheduling instruction.

5. The method according to claim 2, characterized in that: Also includes: If the adjustable amount of electric energy in the area after restriction processing does not meet the demand, an alarm of insufficient dispatching capacity is sent to the power grid.

6. The method according to any one of claims 1 to 5, characterized in that The charge and discharge strategy is obtained by: Obtain basic information of the industrial park, energy storage information and time-based electricity prices; Solve the energy storage scheduling model according to the basic information, energy storage information and time-sharing electricity prices, and obtain the optimal solution of the objective function under the set constraints, wherein the energy storage scheduling model includes the objective function and the set constraints, and the objective function reflects the mapping relationship between the charge and discharge amount of the energy storage equipment and the number of energy storage equipment in the industrial park, the total number of scheduling periods, the time-sharing price of the period, and the net load of the industrial park in the future preset period; Based on the optimal solution, determine the charging and discharging strategy of the industrial park in the preset period in the future.

7. The method according to claim 6, characterized in that The set constraint conditions include power constraint, energy storage charge state constraint, energy storage charge and discharge state constraint, energy storage charge and discharge power constraint and charge and discharge depth control constraint, wherein: The power constraint is determined based on the net power of the industrial park in a preset future period, the power consumption of each energy storage device during the discharge process, and the power gain of each energy storage device during the charging process; The energy storage charge state constraint is determined according to the energy storage charge state of the energy storage device in the current period, the charging energy in the future preset period, the self-discharge loss in the future preset period and other energy losses in the future preset period; The charge and discharge state constraint of the energy storage is determined according to the charging instruction for peak-valley arbitrage, the discharging instruction for peak-valley arbitrage, the charging instruction for reducing the prediction deviation and the discharging instruction for reducing the prediction deviation of the energy storage device in a preset time period in the future; The charging and discharging power constraints of the energy storage are determined according to the charging instructions for peak-valley arbitrage, the discharging instructions for peak-valley arbitrage, the charging indicator variables for reducing the prediction deviation, the discharging indicator variables for reducing the prediction deviation and the charging and discharging power ranges of the energy storage devices in the future preset time period; The charge and discharge depth control constraint is determined based on the maximum demand and deep peak regulation capability of the industrial park.

8. An industrial park energy storage dispatching device, characterized in that: It is used to uniformly dispatch energy storage equipment in industrial parks in a region, wherein the energy storage equipment is provided with a power grid direct control port, and the industrial park energy storage dispatching method comprises: An acquisition module is used for, in response to receiving an energy storage dispatch instruction, acquiring energy storage information of corresponding energy storage devices in the area through the power grid direct control port on each energy storage device in the area, wherein the energy storage dispatch instruction includes: a dispatch mode and a demand amount; A processing module, used to determine the adjustable amount of electric energy in the area according to the energy storage information and the charging and discharging strategy of each of the industrial parks in a future preset period of time, wherein the charging and discharging strategy reflects the independent deployment requirements of the industrial park for energy storage equipment in a future preset period of time; The control module is used to perform energy storage scheduling on the energy storage equipment in the area according to the scheduling method, the demand, the charging and discharging strategy of each industrial park in a future preset time period and the adjustable amount of electric energy.

9. An electronic device, characterized in that: include: Memory, processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

11. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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