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

Abstract

The present application provides an industrial park energy storage scheduling method, electronic equipment, storage medium and program product, which relate to the field of energy storage scheduling technology. The industrial park energy storage scheduling method includes: in response to receiving an energy storage scheduling instruction, obtaining energy storage information of the corresponding energy storage equipment in the area through the power grid direct control port on each energy storage equipment in the area, the energy storage scheduling instruction includes: scheduling mode and demand; according to the energy storage information and the charging and discharging strategy of each industrial park in the future preset time period, determining the adjustable amount of electric energy in the area, the charging and discharging strategy reflects the independent allocation demand of the industrial park for energy storage equipment in the future preset time period; according to the scheduling mode, demand, the charging and discharging strategy of each industrial park in the future preset time period and the adjustable amount of electric energy, energy storage scheduling is performed on the energy storage equipment in the area. The present application is used to achieve the effect of improving the stability of the power grid and ensuring the quality of electric energy.

Description

Technical Field

[0001] The present application relates to the field of energy storage scheduling technology, and in particular to an industrial park energy storage scheduling method, electronic equipment, storage medium, and program product. Background Art

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

[0003] To reduce electricity costs, industrial parks often install small renewable energy generation facilities, such as wind turbines and photovoltaics, to generate electricity using renewable energy resources. These resources, in conjunction with grid power, meet the industrial park's power needs. However, renewable energy resources are inherently unstable, potentially leading to significant grid fluctuations and difficulties in ensuring power quality. Summary of the Invention

[0004] This application provides an industrial park energy storage scheduling method, electronic equipment, storage medium and program product to achieve the effect of improving power grid stability and ensuring power quality.

[0005] In a first aspect, the present application provides an industrial park energy storage scheduling method for uniformly scheduling energy storage equipment in industrial parks within a region, wherein the energy storage equipment is provided with a grid direct control port. The industrial park energy storage scheduling method includes:

[0006] In response to receiving the energy storage dispatch instruction, the energy storage information of the corresponding energy storage device in the area is obtained through the grid direct control port of each energy storage device in the area. The energy storage dispatch instruction includes: dispatch mode and demand;

[0007] Determine the region's adjustable power capacity based on energy storage information and each industrial park's charging and discharging strategies for a preset future period. The charging and discharging strategies reflect the industrial park's independent deployment needs for energy storage equipment during the preset future period.

[0008] Energy storage equipment in the region is dispatched based on the scheduling method, demand, charging and discharging strategies of each industrial park in the future preset time period, and the adjustable amount of electricity.

[0009] In one possible implementation, energy storage equipment in a region is scheduled based on the scheduling method, demand, the charging and discharging strategies of each industrial park in a preset future time period, and the adjustable amount of electric energy, including:

[0010] According to the dispatch mode, demand and adjustable power, determine whether the adjustable power meets the demand under the dispatch mode;

[0011] If the adjustable amount of electric energy meets the demand under the dispatch mode, the energy storage equipment in the area will be regulated;

[0012] If the adjustable amount of electric energy does not meet the demand under the scheduling method, the industrial parks in the region will be 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 region after the restriction treatment can maximize the demand; energy storage equipment in the region will be regulated.

[0013] In one possible implementation, the restriction process includes energy storage restriction and power consumption restriction. Based on the demand, adjustable power, the charging and discharging strategy of each industrial park in a preset future time period, and the industrial park level, the restriction process corresponding to the scheduling method is applied to the industrial parks in the region, including:

[0014] If the dispatch mode is charging, energy storage restrictions are imposed on industrial parks in the region based on demand, adjustable power, 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 discharge, electricity consumption of industrial parks in the region will be restricted based on demand, adjustable electric energy, charging and discharging strategies of each industrial park in the future preset time period and industrial park level.

[0016] In one possible implementation, energy storage control of energy storage devices in a region includes:

[0017] Based on the energy storage information corresponding to each industrial park, the charging and discharging strategies and scheduling methods for the preset future time period, the target energy storage equipment in the area that can respond to energy storage scheduling instructions is determined;

[0018] Allocate electric energy to the target energy storage device based on its energy storage information, the charging and discharging strategy and demand in a preset future time period, and ensure that the sum of the electric energy corresponding to the target energy storage device maximizes the demand.

[0019] Based on the electric energy and the dispatching mode, the corresponding target energy storage device is dispatched to respond to the energy storage dispatching instruction.

[0020] In a possible implementation, the following further includes:

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

[0022] In one possible implementation, the charge and discharge strategy is obtained by:

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

[0024] Based on basic information, energy storage information, and time-of-day electricity prices, the energy storage scheduling model is solved to obtain the optimal solution of the objective function under the set constraints. The energy storage scheduling model includes the objective function and the set constraints. The objective function reflects the mapping relationship between the charge and discharge capacity of the energy storage equipment, the number of energy storage equipment in the industrial park, the total number of scheduling time periods, the time-of-day electricity price during the time period, and the net load of the industrial park in the future preset time period.

[0025] Based on the optimal solution, determine the charging and discharging strategy of the industrial park in the preset time period in the future.

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

[0027] 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;

[0028] The energy storage state of charge constraint is determined based on the energy storage state of charge 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;

[0029] The charge and discharge state constraints of the energy storage are determined based on the charging instructions for peak-valley arbitrage, the discharging instructions for peak-valley arbitrage, the charging instructions for reducing the prediction deviation, and the discharging instructions for reducing the prediction deviation of the energy storage device in a preset future time period;

[0030] The energy storage charge and discharge power constraints are determined based on the energy storage device's charge indication for peak-valley arbitrage, discharge indication for peak-valley arbitrage, charge indication variable for reducing forecast deviation, discharge indication variable for reducing forecast deviation, and the charge and discharge power range of each energy storage device in a preset future period.

[0031] The charge and discharge depth control constraints are determined based on the maximum demand and deep peak regulation capability of the industrial park.

[0032] In a second aspect, the present application provides an industrial park energy storage scheduling device for uniformly scheduling energy storage equipment in industrial parks within a region. The energy storage equipment is provided with a grid direct control port. The industrial park energy storage scheduling method includes:

[0033] An acquisition module is configured to respond to receiving an energy storage dispatch instruction and obtain energy storage information of corresponding energy storage devices in the area through the grid direct control port on each energy storage device in the area. The energy storage dispatch instruction includes: a dispatch mode and a demand amount;

[0034] A processing module is used to determine the adjustable amount of electric energy in a region based on the energy storage information and the charging and discharging strategies of each industrial park in a preset future time period. The charging and discharging strategies reflect the independent deployment requirements of the energy storage equipment in the industrial park in the preset future time period.

[0035] The control module is used to dispatch energy storage equipment in the region based on the scheduling method, demand, charging and discharging strategies of each industrial park in the future preset time period, and the adjustable amount of electricity.

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

[0037] According to the dispatch mode, demand and adjustable power, determine whether the adjustable power meets the demand under the dispatch mode;

[0038] If the adjustable amount of electric energy meets the demand under the dispatch mode, the energy storage equipment in the area will be regulated;

[0039] If the adjustable amount of electric energy does not meet the demand under the scheduling method, the industrial parks in the region will be 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 region after the restriction treatment can maximize the demand; energy storage equipment in the region will be regulated.

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

[0041] If the dispatch mode is charging, energy storage restrictions are imposed on industrial parks in the region based on demand, adjustable power, the charging and discharging strategies of each industrial park in the future preset time period, and the industrial park level;

[0042] If the dispatching mode is discharge, electricity consumption of industrial parks in the region will be restricted based on demand, adjustable electric energy, charging and discharging strategies of each industrial park in the future preset time period and industrial park level.

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

[0044] Based on the energy storage information corresponding to each industrial park, the charging and discharging strategies and scheduling methods for the preset future time period, the target energy storage equipment in the area that can respond to energy storage scheduling instructions is determined;

[0045] Allocate electric energy to the target energy storage device based on its energy storage information, the charging and discharging strategy and demand in a preset future time period, and ensure that the sum of the electric energy corresponding to the target energy storage device maximizes the demand.

[0046] Based on the electric energy and the dispatching mode, the corresponding target energy storage device is dispatched to respond to the energy storage dispatching instruction.

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

[0048] If the adjustable amount of electric energy in the region after restriction processing does not meet the demand, an alarm of insufficient dispatching capacity will be issued to the power grid.

[0049] In one possible implementation, the charge and discharge strategy is obtained by:

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

[0051] Based on basic information, energy storage information, and time-of-day electricity prices, the energy storage scheduling model is solved to obtain the optimal solution of the objective function under the set constraints. The energy storage scheduling model includes the objective function and the set constraints. The objective function reflects the mapping relationship between the charge and discharge capacity of the energy storage equipment, the number of energy storage equipment in the industrial park, the total number of scheduling time periods, the time-of-day electricity price during the time period, and the net load of the industrial park in the future preset time period.

[0052] Based on the optimal solution, determine the charging and discharging strategy of the industrial park in the preset time period in the future.

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

[0054] 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;

[0055] The energy storage state of charge constraint is determined based on the energy storage state of charge 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;

[0056] The charge and discharge state constraints of the energy storage are determined based on the charging instructions for peak-valley arbitrage, the discharging instructions for peak-valley arbitrage, the charging instructions for reducing the prediction deviation, and the discharging instructions for reducing the prediction deviation of the energy storage device in a preset future time period;

[0057] The energy storage charge and discharge power constraints are determined based on the energy storage device's charge indication for peak-valley arbitrage, discharge indication for peak-valley arbitrage, charge indication variable for reducing forecast deviation, discharge indication variable for reducing forecast deviation, and the charge and discharge power range of each energy storage device in a preset future period.

[0058] The charge and discharge depth control constraints are determined based on the maximum demand and deep peak regulation capability of the industrial park.

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

[0060] 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 implementations of the first aspect.

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

[0063] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the above first aspect and / or various possible implementations of the first aspect.

[0064] The industrial park energy storage scheduling method, electronic equipment, storage medium and program product provided in this application make full use of resources by uniformly scheduling the energy storage equipment in the industrial parks in the region. When the energy storage scheduling instruction is received, 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. Based on the acquired energy storage information, combined with the charging and discharging strategy of each industrial park in the future preset time period, the adjustable amount of electric energy in the entire region is determined. According to the scheduling method, demand, charging and discharging strategy of the industrial park and the adjustable amount of electric energy, accurate energy storage scheduling is performed on the energy storage equipment in the region. The industrial park energy storage scheduling method can achieve unified and efficient scheduling of industrial park energy storage equipment, meet the energy needs of each industrial park in different time periods, optimize energy allocation, and reduce energy waste. Through precise energy storage scheduling, the stability and reliability of the power grid can also be improved, the power grid fluctuation can be reduced, and the quality of electric energy can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0066] Figure 1 A schematic diagram of a scenario for an industrial park energy storage scheduling method provided in an embodiment of the present application;

[0067] Figure 2 A flow chart of an industrial park energy storage scheduling method provided in an embodiment of the present application;

[0068] Figure 3 A schematic diagram of the structure of an industrial park energy storage scheduling device provided in an embodiment of the present application;

[0069] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0070] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0071] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0072] First, this application example will briefly introduce the objective functions of three industrial park energy storage operation models. . Including: Peak shaving and valley filling capability , power fluctuation and power supply shortage indicators ,in:

[0073] 1) Peak shaving and valley filling capability ,include:

[0074] The energy storage system transfers load power through low storage and high generation, meeting the demand side response while achieving the purpose of peak shaving and valley filling. In order to characterize the ability of peak shaving and valley filling, the ratio of the variance of the system net load power to the maximum net load is selected. As a quantitative indicator, The smaller the value, the more uniform the load distribution in each period, the flatter the system net load curve, and the greater the peak-shaving and valley-filling effect of the energy storage system. Expressed as:

[0075]

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

[0077] 2) Power fluctuation ,include:

[0078] There is power exchange between the photovoltaic power grid and the power grid. When the output power of the high-penetration distributed photovoltaic power source fluctuates greatly, the voltage of the key nodes in the power grid fluctuates significantly and may even exceed the limit. Divided into time intervals of equal length , the average value of the peak-to-valley difference of the net load power in each period of the sampling interval As an indicator of the ability of energy storage systems to smooth power fluctuations, the power fluctuation The unit is kW, The smaller the net load power is, the smoother the fluctuation is, and the smaller the power fluctuation is. is defined as follows:

[0079]

[0080] in, and They are the maximum and minimum values ​​of the net load power within the time interval Δt respectively. For data statistics duration, is the number of equally divided time intervals, The length of the unit time interval.

[0081] 3) Indicators of insufficient power supply ,include:

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

[0083]

[0084] in, The amount of power wasted at each moment, is the load at each moment. The lower it is, the more reliable the power supply of the power system is and the better it can meet the needs of users.

[0085] In related technologies, industrial parks treat their resource interactions as high-load nodes in the power system, typically centralized by one or multiple geographically close 220kV substations. 1) To reduce electricity costs, industrial parks often deploy renewable energy resources such as small wind turbines and photovoltaics. These parks centrally manage their renewable energy resources through internal power generation and dispatching systems, resulting in inefficient utilization of resources from other industrial parks within the same area. Furthermore, the instability of renewable energy resources can lead to significant grid fluctuations and difficulties in ensuring power quality. 2) The power grid requires centralized management of industrial parks, particularly during demand-side response, requiring precise understanding of the industrial park's adjustable capacity. Related technologies determine adjustable capacity through manual negotiation with industrial parks, resulting in a lack of a unified reporting system for industrial parks. Furthermore, different industrial parks utilize different power generation and dispatching systems to assess adjustable capacity, resulting in indicators with different scales and inability to directly weight them. This makes it difficult for the power grid to ensure safe and stable system operation and implement unified resource allocation.

[0086] The industrial park energy storage scheduling method provided in the embodiments of the present application integrates the renewable energy resources of each industrial park into the renewable resources of the block by deploying energy storage equipment, enabling each industrial park within the block to centrally allocate and store the electricity and energy stored in the energy storage equipment. The industrial park energy storage scheduling method can provide charging support or discharge supplementation for the industrial park, ensuring a stable and reliable power supply for the industrial park. At the same time, the grid direct control port is retained in the energy storage equipment to ensure the grid's effective management and scheduling of the energy storage equipment. When the grid performs demand-side response, the grid dispatches the energy storage equipment using the industrial park energy storage scheduling method, providing emergency power guarantee when the grid's power supply is insufficient and providing energy storage capacity when the grid has excess power. Through a unified energy storage scheduling model, the grid can obtain accurate and dimensionally uniform adjustable capabilities, enabling the grid to perform unified resource allocation while ensuring the safe and stable operation of the system. Through the above-mentioned technical means, peak shaving and valley filling on weekdays and unified allocation during demand-side response are achieved, achieving the effects of optimizing the grid's power load, reducing grid fluctuations, and ensuring power quality.

[0087] Figure 1 Schematic diagram of the scenario of the industrial park energy storage scheduling method provided in the embodiment of this application. Figure 1 As shown, the specific application scenarios of this application include: industrial park 11, energy storage equipment 12 and power grid 13. Among them:

[0088] The energy storage device 12 is provided with a grid direct control port 14, through which the grid 13 can communicate with and control the energy storage device 12. The grid 13 can obtain energy storage information of the energy storage device 12 in real time through the grid direct control port 14.

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

[0090] Grid 13 manages the access rights of industrial parks 11 to energy storage devices 12 through grid direct control ports 14, ensuring the rational distribution and efficient use of electricity. Furthermore, grid 13 can connect to multiple energy storage devices 12, and a single energy storage device 12 can be connected to one, two, or more industrial parks 11. Grid 13 centrally manages and coordinates access rights for each industrial park 11 connected to the energy storage device 12 through grid direct control ports 14 within the energy storage device 12.

[0091] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments 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 This is a flow chart of the industrial park energy storage scheduling method provided in the embodiment of this application. Figure 2 As shown, this method is used to uniformly dispatch energy storage equipment in industrial parks within a region. The energy storage equipment is provided with a grid direct control port. The industrial park energy storage dispatch method includes:

[0093] S201. In response to receiving an energy storage dispatch instruction, obtain energy storage information of corresponding energy storage devices in the area through the grid direct control port on each energy storage device in the area. The energy storage dispatch instruction includes: a dispatch mode and a demand amount.

[0094] Energy storage dispatch instructions are typically issued by a higher-level power grid or dispatch center. These instructions include a dispatch method and a demand. Dispatching methods include discharging and charging, and the demand corresponds to the amount of electricity required by the dispatch method. Optionally, a dispatch instruction may only include one dispatch method. The grid direct control port is an interface deployed on the energy storage device that enables communication and control between the energy storage device and the power grid. The grid direct control port allows the power grid to obtain real-time energy storage information from the corresponding energy storage device. This information includes the device's current status, remaining charge, and charge / discharge capacity. Furthermore, the grid direct control port allows the power grid to manage the corresponding energy storage device. The grid's management of energy storage devices is not limited to monitoring and controlling the energy storage device itself but also includes permission management for each industrial park connected to the energy storage device. Specifically, the grid can use the grid direct control port to set and adjust permissions for industrial parks to access the energy storage device based on actual needs. Permissions to access the energy storage device include charging and discharging permissions.

[0095] When the dispatch mode is charging, the grid is experiencing excess electricity production, necessitating increased energy consumption to utilize the excess energy. In this case, demand refers to the amount of energy to be released, or the required capacity. Optionally, the dispatch mode could be peak demand shaving or another method addressing excess electricity production. When the dispatch mode is discharging, the grid is experiencing insufficient energy, necessitating the acquisition of external energy resources. In this case, demand refers to the amount of energy required, or the required electrical energy. Optionally, the dispatch mode could be demand response or any other method addressing energy shortages.

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

[0097] S202. Determine the adjustable amount of electric energy in the region based on the energy storage information and the charging and discharging strategies of each industrial park in a preset future period. The charging and discharging strategies reflect the independent deployment requirements of the industrial park for energy storage equipment in the preset future period.

[0098] An industrial park's charging and discharging strategy for a preset future time period is a specific plan for charging or discharging energy storage equipment over a period of time, formulated by the industrial park based on factors influencing the industrial park's electricity. Factors influencing industrial park electricity include the industrial park's production plan, energy demand forecast, renewable energy resources, and electricity prices. The industrial park's specific plan for charging or discharging energy storage equipment reflects the industrial park's independent deployment needs for energy storage equipment during the preset future time period. Adjustable energy capacity is an indicator that indicates the flexible adjustment of energy storage equipment within a region, taking into account the charging and discharging strategies of each industrial park during the preset future time period and the energy storage information of the energy storage equipment. Adjustable energy capacity includes adjustable capacity and adjustable power. Adjustable capacity is the sum of the adjustable storage capacity of all energy storage devices within the region, and adjustable power is the sum of the adjustable storage power of all energy storage devices within the region.

[0099] In this step, first, the available power and available capacity of the current energy storage device are obtained based on the energy storage information. The available power is the amount of power 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 power and power capacity is equal to the total capacity of the energy storage device. Then, based on the charging and discharging strategies of each industrial park in the future preset time period, it is determined that each industrial park needs to use the corresponding power usage and usage capacity of each energy storage device in the future preset time period. The power usage is the amount of electricity consumed by each industrial park in the future preset time period using the power provided by the energy storage device to meet the power supply needs of the industrial park. The usage capacity is the amount of power stored in the energy storage device by the industrial park in the future preset time period and the storage capacity of the energy storage device used.

[0100] Afterwards, based on the available power, available capacity, used capacity and used power, the adjustable amount of electric energy that the energy storage device can use to respond to the dispatching instructions and adjust the electric energy in the entire area is determined.

[0101] Optionally, the energy storage adjustable capacity = available capacity - used capacity + used power; the energy storage adjustable power = available power - used power + used capacity. The adjustable capacity is calculated by summing the energy storage adjustable capacities corresponding to each energy storage; the adjustable power is calculated by summing the energy storage adjustable power corresponding to each energy storage.

[0102] S203: Perform energy storage scheduling on energy storage equipment in the area according to the scheduling method, demand and adjustable electric energy.

[0103] In this step, specific charging and discharging plans for energy storage equipment are developed based on the dispatch method, demand, and available energy. Access to energy storage equipment is also managed within the region's industrial parks. By scheduling energy storage equipment within the region, we ensure a balance between energy supply and demand, optimize grid efficiency, and reduce energy costs.

[0104] The industrial park energy storage scheduling method provided in the embodiment of the present application, by responding to received energy storage scheduling instructions, collects energy storage information, analyzes the charging and discharging strategies of each industrial park in the future preset time period, and determines the adjustable amount of electric energy. By fully considering the actual electricity demand of each industrial park in the future preset time period and the energy storage information of the energy storage equipment, it can truly and comprehensively reflect the actual size of the adjustable amount of electric energy that can be adjusted within the regional scope. The improvement in the accuracy of the adjustable amount of electric energy will help the power grid to more accurately dispatch and manage electric energy, ensuring the balance and stability of power supply and demand. Energy storage scheduling is carried out for industrial parks based on the adjustable amount of electric energy, thereby improving the efficiency of electric energy utilization and enhancing the flexibility of the power grid. Through precise scheduling, grid fluctuations are smoothed, the quality of electric energy is improved, and the stable and reliable power supply is ensured.

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

[0106] S2031. Determine whether the adjustable amount of electric energy meets the demand under the scheduling mode according to the scheduling mode, the demand and the adjustable amount of electric energy.

[0107] When the dispatch mode is charging, the adjustable amount of electric energy is determined to meet the required capacity under the dispatch mode based on the required capacity and the adjustable capacity. If the required capacity is less than or equal to the adjustable capacity, the adjustable amount of electric energy is determined to meet the required capacity under the dispatch mode. If the required capacity is greater than the adjustable capacity, the energy storage device cannot meet the required capacity within the preset future time period, and the adjustable amount of electric energy is determined to not meet the required capacity under the dispatch mode.

[0108] When the dispatch mode is discharge, the system determines whether the adjustable amount of energy meets the required amount under the dispatch mode based on the required amount of energy and the adjustable amount of energy. If the required amount of energy is less than or equal to the adjustable amount of energy, the system determines that the adjustable amount of energy meets the required amount under the dispatch mode. If the required amount of energy is greater than the adjustable amount of energy, the energy storage device cannot meet the required amount of energy within the preset future time period, and the system determines that the adjustable amount of energy does not meet the required amount under the dispatch mode.

[0109] S2032. If the adjustable amount of electric energy meets the demand under the dispatching mode, the energy storage equipment in the area is regulated.

[0110] Energy storage regulation is a method of controlling and managing the electric energy resources and energy storage equipment of each industrial park based on energy storage dispatch instructions and adjustable electric energy.

[0111] When the dispatch mode is charging, energy storage devices in the area are regulated. This regulation involves the grid using energy storage devices to charge, meaning the grid stores excess energy in the energy storage devices.

[0112] When the dispatch mode is discharge, the energy storage equipment in the area is regulated. This regulation involves the grid using the energy storage equipment to discharge, meaning the grid uses the energy stored in the energy storage equipment.

[0113] Through energy storage regulation, the power supply and demand balance of the power grid can be ensured, the efficiency of power utilization can be improved and the fluctuation of the power grid can be reduced.

[0114] S2033. If the adjustable amount of electric energy does not meet the demand under the dispatching method, the industrial parks in the region are restricted according to the dispatching method based on the demand, the adjustable amount of electric energy and the level of the industrial park, so that the adjustable amount of electric energy in the region after the restriction process can maximize the demand; and the energy storage equipment in the region is regulated.

[0115] Restriction processing is a method that limits the use of energy storage equipment within an industrial park, increasing the amount of power available for dispatch in the corresponding area. Industrial park levels are determined based on factors such as their importance and power demand. The level of an industrial park determines the priority of power supply assurance during power shortages. Optionally, higher-level industrial park levels give higher priority to power supply assurance.

[0116] When implementing restrictions, the rank of the industrial park is first considered, prioritizing power supply to key parks. Industrial parks of the same rank are subject to restrictions in a specific order. Optionally, the order can be determined based on the charging and discharging strategies of the industrial parks during a preset future time period; or based on the power consumption of the industrial parks. The order in which restrictions are applied to industrial parks of the same rank is not limited; those skilled in the art can select an appropriate order based on actual operational needs.

[0117] Secondly, after restricting the industrial park, the adjustable power capacity is updated to maximize the area's adjustable power capacity after the restriction process to meet demand. Based on demand and adjustable power capacity, energy storage is regulated in the industrial parks within the region to maximize demand.

[0118] The purpose of this step is to minimize the impact on industrial parks when the grid is performing energy storage scheduling, enhance the stability of the grid, and avoid unnecessary losses in the industrial park due to power outages, thereby ensuring the stable operation of the grid and protecting the power supply in key areas.

[0119] The embodiment of the present application provides a restriction processing method, in which Figure 2Based on the examples, the restriction processing method is described in detail. The restriction processing includes energy storage restriction and power consumption restriction. Based on the demand, adjustable power, the charging and discharging strategy of each industrial park in the future preset time period, and the industrial park level, the restriction processing corresponding to the scheduling method is performed on the industrial parks in the region, including:

[0120] Energy storage restrictions and power usage restrictions are both specific implementation methods for restriction processing. Energy storage restrictions limit the charging rights of energy storage devices in industrial parks, ensuring that the power grid can access as much energy storage capacity as possible. Power usage restrictions limit the discharge rights of energy storage devices in industrial parks, ensuring that the power grid can access as much energy from energy storage devices as possible.

[0121] S301. If the dispatching mode is charging, energy storage restrictions are imposed on the industrial parks in the region based on demand, adjustable electric energy, the charging and discharging strategies of each industrial park in the future preset time period, and the industrial park level.

[0122] When the dispatch mode is charging, the grid needs to store excess energy. In this case, the demand refers to the required capacity. If the available energy does not meet the demand under this dispatch mode, the available capacity is less than the required capacity. In this case, energy storage restrictions are imposed on industrial parks within the region based on the required capacity, available capacity, and industrial park level.

[0123] Specifically, based on the industrial park's level and each park's charging and discharging strategy for a predetermined period of time, target industrial parks with relatively low power supply priorities and planned energy storage device charging operations during that period are identified. Charging access to energy storage devices and permissions are then blocked for each of these targeted industrial parks, adjusting the load distribution on the power grid.

[0124] After each industrial park is closed, the available capacity is re-determined to accurately understand the load changes on the power grid after the closure. The available capacity is determined to be greater than or equal to the required capacity. If the available capacity is greater than or equal to the required capacity, the power grid is relatively sufficient and stable, and no further storage restrictions are required to maintain supply and demand balance. Therefore, the energy storage restrictions are discontinued.

[0125] If the available capacity is less than the required capacity, the next target industrial park will be closed in order, and the available capacity will be re-determined and compared with the required capacity until all target industrial parks in the area have been closed or the available capacity is greater than or equal to the required capacity.

[0126] S302: If the dispatch 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 strategy of each industrial park in the future preset time period, and the industrial park level.

[0127] When the dispatch mode is discharge, the grid needs to obtain energy from external sources. In this case, the demand refers to the required amount of electricity. If the adjustable amount of electricity does not meet the demand under the dispatch mode, the available amount of electricity is less than the required amount. In this case, energy storage restrictions are imposed on industrial parks within the region based on the required amount of electricity, the available amount of electricity, and the industrial park level.

[0128] Specifically, based on the industrial park's level and each park's charging and discharging strategy for a predetermined period of time, target industrial parks with relatively low power supply priorities and planned to discharge energy storage devices during that period are identified. Charging access to energy storage devices and permissions are then blocked for each of these targeted industrial parks, adjusting the load distribution on the grid.

[0129] Each time an industrial park is closed, the available power is re-determined to accurately understand the load changes on the power grid after the closure of the target industrial park. The available power is determined to be greater than or equal to the required power. If the available power is greater than or equal to the required power, the energy storage restriction is lifted.

[0130] If the available power is less than the required power, the next target industrial park will be closed in order, and the available power will be compared with the required power again until all target industrial parks in the area have been closed or the available power is greater than or equal to the required power.

[0131] The restriction processing method provided in the embodiment of the present application imposes energy storage restrictions and electricity consumption restrictions on industrial parks by comprehensively considering the demand, 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. Through energy storage restrictions, it can be ensured that grid resources are not over-consumed during charging scheduling, thereby maintaining the stable operation of the grid; through electricity consumption restrictions, the electricity consumption behavior of the industrial park can be effectively adjusted during discharge scheduling, grid load fluctuations can be reduced, and the power supply of key areas can be ensured to be unaffected. The effect of minimizing the impact on the industrial park, enhancing the stability of the grid, and avoiding unnecessary losses in the industrial park due to power outages is achieved during the process of energy storage regulation.

[0132] An energy storage control method provided in the embodiment of the present application is Figure 2 Based on the embodiment, a detailed description of the energy storage control method is provided. The method is used to control energy storage in industrial parks within a region, including:

[0133] S401. Determine target energy storage equipment in the area that can respond to energy storage scheduling instructions based on the energy storage information corresponding to each industrial park, the charging and discharging strategy and scheduling method in a preset future time period.

[0134] If the scheduling method is charging, the target energy storage devices in the area that are eligible for charging are determined based on the energy storage information corresponding to the industrial park and the charging and discharging strategy for the preset future time period. Target energy storage devices that are eligible for charging are those whose available capacity is greater than a capacity threshold. The capacity threshold is a set standard used to determine whether an energy storage device has sufficient capacity to accept charging. Optionally, the capacity threshold can be set to 0, meaning that any energy storage device with an available capacity greater than 0 is considered an eligible target energy storage device.

[0135] If the dispatch mode is discharge, target energy storage devices in the area that are eligible for discharge are determined based on the energy storage information corresponding to the industrial park and the charge and discharge strategy for the preset future time period. Target energy storage devices that are eligible for discharge are those whose available power exceeds a power threshold. The power threshold is a set standard used to determine whether an energy storage device has sufficient power to discharge. Optionally, the power threshold can be set to 0, meaning that any energy storage device with available power is considered eligible for discharge.

[0136] By identifying target energy storage devices within the region that can respond to energy storage dispatch instructions, we ensure that power resources are used in the most reasonable and efficient way, thereby enhancing the stability and reliability of the power grid and reducing its operating costs.

[0137] S402 , allocating 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 and the demand in a preset future time period, so that the sum of the electric energy corresponding to the target energy storage device maximizes the demand.

[0138] Based on the energy storage information corresponding to the energy storage device, combined with the charging and discharging strategy and demand in the future preset time period, the electric energy of the energy storage device is distributed.

[0139] If the scheduling method is charging, the adjustable energy storage capacity corresponding to each target energy storage device is determined based on the energy storage information corresponding to the target energy storage device and the charging and discharging strategy for the preset future time period. Based on the adjustable energy storage capacity corresponding to each target energy storage device, electrical energy is allocated to each target energy storage device. In this case, allocating electrical energy to each target energy storage device includes allocating capacity electrical energy to each target energy storage device. Capacity electrical energy is the capacity of the grid to charge the target energy storage device. The sum of the capacity electrical energy corresponding to each target energy storage device is maximized to meet the demand.

[0140] If the dispatch mode is discharge, the adjustable energy storage capacity corresponding to each target energy storage device is obtained based on the energy storage information corresponding to the target energy storage device and the charge and discharge strategy for the preset future time period. Based on the adjustable energy storage capacity corresponding to each target energy storage device, an amount of electrical energy is allocated to each target energy storage device. In this case, allocating electrical energy to each target energy storage device includes allocating an electrical energy capacity to each target energy storage device, where the electrical energy capacity is the amount of electrical energy discharged from the grid to the target energy storage device. The sum of the electrical energy capacity corresponding to each target energy storage device is maximized to meet the demand.

[0141] When distributing electrical energy, ensure that the total energy allocated to all target energy storage devices maximizes the required energy. This ensures that the total energy allocated is as close to and as close to the actual required energy as possible, by fully utilizing the adjustable storage capacity and power within the energy storage devices. By maximizing the required energy, the utilization rate of energy storage devices can be increased, effectively supporting the stable operation of the power grid.

[0142] S403: Based on the electric energy and the dispatching mode, dispatch the corresponding target energy storage device to respond to the energy storage dispatching instruction.

[0143] The power grid dispatches the corresponding target energy storage device to respond to the energy storage dispatch instruction based on the electric energy and dispatch mode of each target energy storage device.

[0144] When the dispatch mode is charging, the target energy storage devices are dispatched in response to the energy storage dispatch instruction. Specifically, each target energy storage device is charged, and the charge amount of each target energy storage device is equal to the corresponding electric energy of the target energy storage device, ensuring that the energy storage device is fully charged.

[0145] When the dispatch mode is determined to be discharge, the target energy storage devices must be dispatched in response to the energy storage dispatch instruction. Specifically, discharge is performed on each target energy storage device, ensuring that the discharge amount of each target energy storage device is equal to the corresponding electrical energy of the target energy storage device, effectively utilizing the electrical energy stored in the energy storage devices to meet the power demand of the grid or specific area.

[0146] The energy storage control method provided in the embodiments of the present application selects target energy storage devices that can respond to energy storage scheduling instructions based on the energy storage information corresponding to each industrial park, the charging and discharging strategies, and the scheduling methods for a preset future time period. Based on the target energy storage devices' energy storage information, charging and discharging strategies, and demand, electrical energy is allocated to the target energy storage devices to ensure that the total amount of electrical energy provided maximizes the demand. Finally, based on the electrical energy and the scheduling method, the target energy storage devices are scheduled to respond to the energy storage scheduling instructions. This achieves the rational and efficient utilization of energy storage device resources and enhances the stability and reliability of the power grid.

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

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

[0149] The embodiment of the present application provides a method for determining a charge and discharge strategy for a preset period of time in the future. Figure 2 Based on the embodiment, a method for determining a charge and discharge strategy for a preset period in the future is described in detail. The method is used to obtain a charge and discharge strategy for each industrial park in a region for a preset period in the future, including:

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

[0151] The basic information of the industrial park includes: the number of energy storage equipment in the industrial park , Total number of scheduling periods within the industrial park , industrial parks exist Net load during the period , industrial parks exist Net load without superimposed energy storage charging and discharging power during the period , industrial parks The maximum demand that needs to be controlled and industrial parks Deep peak-shaving capability .

[0152] Energy storage information includes: energy storage equipment Maximum state of charge limit , energy storage equipment Minimum state of charge limit , energy storage equipment Storage Discharge power used to reduce demand charges during the time period , energy storage equipment Storage Charging power in response to deep peak regulation of the power grid during the period , energy storage equipment exist Energy storage state of charge during the time period , energy storage equipment exist Energy storage charging power used for peak-valley arbitrage during the period , energy storage equipment exist Energy storage discharge power used for peak-valley arbitrage during the period , energy storage equipment Energy storage rated power , energy storage equipment exist Energy storage charging status during the period used for peak-valley arbitrage , energy storage equipment exist Energy storage discharge status indicator variable used for peak-valley arbitrage during the period , energy storage equipment exist Energy storage charging state during the period used to reduce prediction deviation , energy storage equipment exist The energy storage discharge state during the period is used to reduce the prediction deviation , energy storage equipment Maximum charge and discharge power of energy storage and energy storage equipment Minimum charge and discharge power of energy storage .

[0153] Time-of-use electricity prices Indicates The electricity price for the time period.

[0154] S502. Solve the energy storage scheduling model based on basic information, energy storage information, and time-of-day electricity prices to obtain the optimal solution of the objective function under set constraints. The energy storage scheduling model includes the objective function and set constraints. The objective function reflects the mapping relationship between the charging and discharging capacity of the industrial park and the number of energy storage equipment in the industrial park, the total number of scheduling periods, the time-of-day price of the period, and the net load of the industrial park in the future preset period.

[0155] The energy storage scheduling model is a mathematical model used to optimize the charging and discharging strategies of energy storage devices. The objective function is a mathematical expression that measures the quality of the charging and discharging strategies. In energy storage scheduling, it may aim to minimize electricity costs, for example. Constraints are restrictions that must be met when solving the optimization problem. Charge and discharge capacity refers to the amount of electricity charged or discharged by the energy storage device during a specific time period. The number of energy storage devices in an industrial park is the total number of energy storage devices in the area. The total number of scheduling periods is the number of time periods considered for energy storage scheduling. The time-of-use price for a period is the electricity price corresponding to each scheduling period. The net load of the industrial park during a preset future period is the net demand after subtracting renewable energy generation from electricity demand.

[0156] In one possible implementation, the objective function is the number of energy storage devices in the industrial park. , Total number of scheduling periods within the industrial park , time period Time-sharing price and industrial parks At a preset time in the future The mapping relationship of the net load.

[0157] Optionally, the objective function is: .

[0158] S503: Determine the charging and discharging strategy of the industrial park in a future preset period based on the optimal solution.

[0159] The optimal solution can be reflected in the charging and discharging capacity of the industrial park. Based on the optimal solution, the charging and discharging strategy of the industrial park in the future preset period is determined. The charging and discharging strategy of the industrial park in the future preset period will guide the charging and discharging behavior of the energy storage equipment in the industrial park in various time periods in the future.

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

[0161] In one possible implementation, the set constraints include power constraints, energy storage state of charge constraints, energy storage charge and discharge state constraints, energy storage charge and discharge power constraints, and charge and discharge depth control constraints, where:

[0162] a. The power constraint is determined based on the net power of the industrial park during 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.

[0163] Power constraints, including:

[0164]

[0165] in, Energy storage equipment The amount of electricity consumed during the discharge process; Energy storage equipment The gain in charge during the charging process is the energy storage device The power released during charging; Energy storage equipment Charging power; Energy storage equipment The discharge power.

[0166] b. The energy storage state of charge constraint is determined based on the energy storage state of charge 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.

[0167] Energy storage state of charge constraints, including:

[0168]

[0169]

[0170]

[0171] in, Indicates the charging energy in the future preset period, Indicates the self-discharge energy loss in the future preset period, Indicates other energy losses during the preset period in the future,

[0172] c. The charge and discharge state constraints of the energy storage are determined based on the charging instructions for peak-valley arbitrage, the discharging instructions for peak-valley arbitrage, the charging instructions for reducing the prediction deviation, and the discharging instructions for reducing the prediction deviation of the energy storage device in a preset time period in the future.

[0173] Energy storage charge and discharge state constraints, including:

[0174]

[0175]

[0176] in, 、 、 and All are 0-1 variables. Energy storage equipment exist The time period is not used for energy storage charging for peak-valley arbitrage; Energy storage equipment exist The time period is used for energy storage charging for peak-valley arbitrage. Energy storage equipment exist The time period is not used for energy storage discharge for peak-valley arbitrage; Energy storage equipment exist The time period is used for energy storage discharge for peak-valley arbitrage. Energy storage equipment exist The time period is not used for energy storage charging to reduce forecast deviations; Energy storage equipment exist The time period is used to reduce energy storage charging to reduce prediction deviation. Energy storage equipment exist The time period is not used to reduce the energy storage discharge for forecast deviation; Energy storage equipment exist The time period is used to reduce the energy storage discharge to reduce the prediction deviation.

[0177] d. The energy storage charge and discharge power constraints are determined based on the energy storage device's charge indication for peak-valley arbitrage in a preset future time period, the discharge indication for peak-valley arbitrage, the charge indication variable for reducing forecast deviation, the discharge indication variable for reducing forecast deviation, and the charge and discharge power range of each energy storage device.

[0178] Energy storage charging and discharging power constraints include:

[0179]

[0180]

[0181] Energy storage charge and discharge power constraints mean that the total charge and discharge power of energy storage equipment must be strictly controlled within the device's permitted charge and discharge power limits to facilitate peak-valley arbitrage and eliminate bias in renewable energy forecasts. These constraints ensure that energy storage equipment does not exceed its power handling capacity, potentially causing damage or creating safety hazards. They also ensure that the energy storage system can stably and efficiently perform its peak-shaving, frequency regulation, and backup functions within the power system.

[0182] e. The charge and discharge depth control constraint is determined based on the maximum demand and deep peak regulation capability of the industrial park.

[0183] Charge and discharge depth control constraints, including:

[0184]

[0185] The charge and discharge depth control constraint represents the discharge power of the energy storage equipment set to reduce the demand electricity charge of the industrial park during peak hours. , and the energy storage device charging power set to respond to the deep peak regulation demand of the power grid , must be strictly controlled within the industrial park's forecast deviation range. Specifically, the discharge power should not exceed the industrial park's forecast negative deviation range to ensure that while demand charges are reduced, excessive discharge does not lead to power shortages. Similarly, the charging power should not exceed the industrial park's forecast positive deviation range to ensure that while responding to the grid's peak load demand, overcharging does not waste energy or damage the life of the energy storage equipment. The charge and discharge depth control constraints help achieve optimal scheduling of energy storage equipment and improve the energy efficiency and economic benefits of the industrial park.

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

[0187] The industrial park energy storage scheduling device 30 is used to uniformly schedule energy storage equipment in the industrial park within the region. The energy storage equipment is provided with a grid direct control port. The industrial park energy storage scheduling method includes:

[0188] The acquisition module 301 is configured to, in response to receiving an energy storage scheduling instruction, acquire energy storage information of corresponding energy storage devices in the region through the grid direct control port on each energy storage device in the region. The energy storage scheduling instruction includes: a scheduling method and a demand amount;

[0189] Processing module 302, configured to determine the adjustable amount of electric energy in a region based on the energy storage information and the charging and discharging strategies of each industrial park in a preset future time period, wherein the charging and discharging strategies reflect the independent deployment requirements of the industrial park for energy storage equipment in the preset future time period;

[0190] The control module 303 is used to perform energy storage scheduling on the energy storage equipment in the region according to the scheduling mode, demand, charging and discharging strategies of each industrial park in the future preset time period and the adjustable amount of electric energy.

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

[0192] According to the dispatch mode, demand and adjustable power, determine whether the adjustable power meets the demand under the dispatch mode;

[0193] If the adjustable amount of electric energy meets the demand under the dispatch mode, the energy storage equipment in the area will be regulated;

[0194] If the adjustable amount of electric energy does not meet the demand under the scheduling method, the industrial parks in the region will be 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 region after the restriction treatment can maximize the demand; energy storage equipment in the region will be regulated.

[0195] In one possible implementation, the restriction process includes energy storage restriction and power consumption restriction, and the control module 303 is further configured to:

[0196] If the dispatch mode is charging, energy storage restrictions are imposed on industrial parks in the region based on demand, adjustable power, the charging and discharging strategies of each industrial park in the future preset time period, and the industrial park level;

[0197] If the dispatching mode is discharge, electricity consumption of industrial parks in the region will be restricted based on demand, adjustable electric energy, charging and discharging strategies of each industrial park in the future preset time period and industrial park level.

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

[0199] Based on the energy storage information corresponding to each industrial park, the charging and discharging strategies and scheduling methods for the preset future time period, the target energy storage equipment in the area that can respond to energy storage scheduling instructions is determined;

[0200] Allocate electric energy to the target energy storage device based on its energy storage information, the charging and discharging strategy and demand in a preset future time period, and ensure that the sum of the electric energy corresponding to the target energy storage device maximizes the demand.

[0201] Based on the electric energy and the dispatching mode, the corresponding target energy storage device is dispatched to respond to the energy storage dispatching instruction.

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

[0203] If the adjustable amount of electric energy in the region after restriction processing does not meet the demand, an alarm of insufficient dispatching capacity will be issued to the power grid.

[0204] In one possible implementation, the charge and discharge strategy is obtained by:

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

[0206] Based on basic information, energy storage information, and time-of-day electricity prices, the energy storage scheduling model is solved to obtain the optimal solution of the objective function under the set constraints. The energy storage scheduling model includes the objective function and the set constraints. The objective function reflects the mapping relationship between the charge and discharge capacity of the energy storage equipment, the number of energy storage equipment in the industrial park, the total number of scheduling time periods, the time-of-day electricity price during the time period, and the net load of the industrial park in the future preset time period.

[0207] Based on the optimal solution, determine the charging and discharging strategy of the industrial park in the preset time period in the future.

[0208] In one possible implementation, the set constraints include power constraints, energy storage state of charge constraints, energy storage charge and discharge state constraints, energy storage charge and discharge power constraints, and charge and discharge depth control constraints, where:

[0209] 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;

[0210] The energy storage state of charge constraint is determined based on the energy storage state of charge 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;

[0211] The charge and discharge state constraints of the energy storage are determined based on the charging instructions for peak-valley arbitrage, the discharging instructions for peak-valley arbitrage, the charging instructions for reducing the prediction deviation, and the discharging instructions for reducing the prediction deviation of the energy storage device in a preset future time period;

[0212] The energy storage charge and discharge power constraints are determined based on the energy storage device's charge indication for peak-valley arbitrage, discharge indication for peak-valley arbitrage, charge indication variable for reducing forecast deviation, discharge indication variable for reducing forecast deviation, and the charge and discharge power range of each energy storage device in a preset future period.

[0213] The charge and discharge depth control constraints are determined based on the maximum demand and deep peak regulation capability 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. Its implementation principle and technical effects are similar and will not be described in detail in this embodiment.

[0215] Figure 4 This is a schematic diagram of the structure of the electronic device provided in the embodiment of the present application. Figure 4 As 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. The processor 401, the memory 402 and the communication component 403 are connected via a bus 404.

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

[0217] The specific implementation process of the processor 401 can be found in the above method embodiment. Its implementation principle and technical effects are similar and will not be repeated here in this embodiment.

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

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

[0220] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. Buses can be categorized as address buses, data buses, and control buses. For ease of presentation, the buses in the drawings of the embodiments of this application are not limited to just one bus or just one type of bus.

[0221] An embodiment of the present application also provides a computer program product, including a computer program, which implements the above method when executed by a processor.

[0222] An embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed, any of the above methods is implemented.

[0223] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile memory device, or a combination thereof, such as static random-access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium that can be accessed 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 an integral part of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium can also exist in a device as discrete components.

[0225] The division of units is merely a logical functional division; actual implementations may employ alternative divisions, such as combining or integrating multiple units or components into another system, or omitting or disabling certain features. Furthermore, any direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or units, either through an interface, electrical, mechanical, or other means.

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

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

[0228] If a function is implemented as 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, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical disks.

[0229] Those skilled in the art will appreciate that all or part of the steps in the above-described method embodiments can be implemented using hardware associated with program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0230] Finally, it should be noted that those skilled in the art will readily identify other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein. The present invention is not limited to the precise structure described above and illustrated in the accompanying drawings, and various modifications and variations may be made without departing from the scope thereof. The scope of the present invention is limited solely 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 within a region, wherein the energy storage equipment is provided with a grid direct control port. The industrial park energy storage dispatching method includes: In response to receiving the energy storage scheduling instruction, obtaining energy storage information of the corresponding energy storage devices in the area through the grid direct control port on each energy storage device in the area, wherein the energy storage scheduling instruction includes: a scheduling method and a demand amount; The adjustable amount of electric energy in the region is determined based on the energy storage information and the charging and discharging strategies of each of the industrial parks in a preset future time period. The charging and discharging strategies reflect the independent deployment requirements of the industrial parks for energy storage equipment in the preset future time period. The adjustable amount of electric energy is an indicator indicating the flexible adjustment capability of the energy storage equipment, obtained based on the charging and discharging strategies and energy storage information of each of the industrial parks in the region in the preset future time period. The charging and discharging strategies are obtained by: Obtain basic information of the industrial park, energy storage information and time-of-use electricity prices; Solve the energy storage scheduling model based on the basic information, energy storage information, and time-of-day electricity prices to obtain the optimal solution of the objective function under set constraints. The energy storage scheduling model includes the objective function and the set constraints. The objective function reflects the mapping relationship between the charge and discharge capacity of the energy storage device and the number of energy storage devices in the industrial park, the total number of scheduling time periods, the time-of-day electricity price during the time period, and the net load of the industrial park in a preset future time period. Based on the optimal solution, determine the charging and discharging strategy of the industrial park in the future preset period; Performing energy storage scheduling for energy storage equipment in the region according to the scheduling method, the demand, the charging and discharging strategies of each industrial park in a future preset time period, and the adjustable amount of electric energy, including: Determining, based on the scheduling mode, the demand and the adjustable amount of electric energy, 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, performing energy storage control on the energy storage equipment in the area; 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 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, so that the adjustable amount of electric energy in the area after the restriction process maximizes the demand; and the energy storage equipment in the area is regulated; 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 based on the demand, the adjustable amount of electric energy, the charging and discharging strategy of each industrial park in a preset future time period, and the industrial park level, further including: If the scheduling mode is charging, energy storage restrictions are imposed on the industrial parks in the region based on the demand, the adjustable amount of electric energy, the charging and discharging strategies of each industrial park in a future preset period, and the industrial park level; 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 strategy of each industrial park in a preset time period in the future, and the level of the industrial park.

2. The method according to claim 1, characterized in that The energy storage control of the energy storage equipment in the area includes: Determining target energy storage equipment in the area that can respond to the energy storage scheduling instruction based on the energy storage information corresponding to each of the industrial parks, the charging and discharging strategy in a 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 charge and discharge 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 is maximized to meet 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.

3. The method according to claim 1, characterized in that Also includes: If the adjustable amount of electric energy in the area after the restriction process does not meet the demand, an alarm of insufficient dispatching capacity is issued to the power grid.

4. The method according to claim 3, characterized in that The set constraints include power constraints, energy storage charge state constraints, energy storage charge and discharge state constraints, energy storage charge and discharge power constraints, and charge and discharge depth control constraints, where: 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 state of charge constraint is determined based on the energy storage state of charge of the energy storage device in the current time period, the charging energy in the future preset time period, the self-discharge loss in the future preset time period, and other energy losses in the future preset time period; The energy storage charge and discharge state constraint is determined based on a charging instruction for peak-valley arbitrage, a discharging instruction for peak-valley arbitrage, a charging instruction for reducing prediction deviation, and a discharging instruction for reducing prediction deviation of the energy storage device in a future preset period; The energy storage charge and discharge power constraints are determined based on the energy storage device's charge indication for peak-valley arbitrage, discharge indication for peak-valley arbitrage, charge indication variable for reducing prediction deviation, discharge indication variable for reducing prediction deviation, and the charge and discharge power range of each energy storage device in a future preset period; The charge and discharge depth control constraint is determined based on the maximum demand and deep peak regulation capability of the industrial park.

5. An energy storage scheduling device for an industrial park, 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 grid direct control port, and the industrial park energy storage dispatching device includes: An acquisition module is configured to, in response to receiving an energy storage scheduling instruction, acquire energy storage information of corresponding energy storage devices in the area through the grid direct control port on each energy storage device in the area, wherein the energy storage scheduling instruction includes: a scheduling mode and a demand amount; A processing module is used to determine the adjustable amount of electric energy in the area based on the energy storage information and the charging and discharging strategies of each of the industrial parks in the future preset time period, wherein the charging and discharging strategies reflect the independent allocation requirements of the industrial park for the energy storage equipment in the future preset time period; the adjustable amount of electric energy is an indicator size indicating that the energy storage equipment can be flexibly adjusted based on the charging and discharging strategies and the energy storage information of each industrial park in the area in the future preset time period, wherein the charging and discharging strategies are obtained in the following manner: obtaining basic information, energy storage information and time-sharing electricity prices of the industrial park; solving an energy storage scheduling model based on the basic information, energy storage information and time-sharing electricity prices to obtain an optimal solution of an objective function under 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 charging and discharging amount of the energy storage equipment and the number of energy storage equipment in the industrial park, the total number of scheduling time periods, the time-sharing price of the time period and the net load of the industrial park in the future preset time period; determining the charging and discharging strategy of the industrial park in the future preset time period based on the optimal solution; A control module, configured to perform energy storage scheduling on the energy storage equipment in the area according to the scheduling 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; The control module is specifically used to determine whether the adjustable amount of electric energy meets the demand under the scheduling method according to the scheduling method, the demand and the adjustable amount of electric energy; if the adjustable amount of electric energy meets the demand under the scheduling method, perform energy storage regulation on the energy storage equipment in the area; if the adjustable amount of electric energy does not meet the demand under the scheduling method, perform restriction processing corresponding to the scheduling method on the industrial parks in the area according to the demand, the adjustable amount of electric energy, the charging and discharging strategy of each industrial park in a preset time period in the future and the industrial park level, so that the adjustable amount of electric energy in the area after the restriction processing maximizes the satisfaction of the demand; perform energy storage regulation on the energy storage equipment in the area; In the method, the restriction processing includes energy storage restriction and electricity consumption restriction, and the restriction processing corresponding to the scheduling method 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 of the industrial parks in the future preset time period and the industrial park level, further including: if the scheduling method is charging, the energy storage restriction 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 of the industrial parks in the future preset time period and the industrial park level; if the scheduling method is discharging, the electricity consumption of the industrial parks in the region is restricted according to the demand, the adjustable amount of electric energy, the charging and discharging strategy of each of the industrial parks in the future preset time period and the industrial park level.

6. 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 4.

7. 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 4 when executed by a processor.

8. 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 4 is implemented.

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