A multi-type novel energy storage callable capacity determination and mode service operation method and device

Abstract

The present application relates to a kind of multi-type novel energy storage callable ability determination and mode service operation method and equipment, comprising: constructing new energy field station multi-time scale energy storage service demand vector;Determine the callable power boundary of energy storage unit under corresponding service task, callable energy boundary, continuous service time boundary and state of charge operating range;Construct mode energy storage service operation model, obtain the charge-discharge power service range of energy storage in different modes, energy service range and state of charge operating range.The present application can convert the deviation between actual output and planned output of new energy field station into quantifiable energy storage service task, realize the unified description of fast power regulation demand, long-time energy regulation demand and general regulation demand;It improves the executability of energy storage service boundary under the condition of new energy output fluctuation and prediction deviation;It can reflect the difference of different types of energy storage in fast power support and long-time energy support.

Description

Technical Field

[0001] This invention relates to the field of new energy grid connection and energy storage coordinated operation technology, and in particular to a method and equipment for determining the callable capacity of multiple types of new energy storage and providing sub-mode service operation. Background Technology

[0002] With the continuous growth of installed capacity of new energy sources such as wind power and photovoltaics, the proportion of new energy output in the power system is constantly increasing. New energy output is affected by factors such as meteorological conditions, geographical location, and forecast accuracy, exhibiting significant randomness, volatility, and intermittency. This leads to discrepancies between actual and planned output at new energy power plants during operation. Such deviations affect the plant's ability to track planned output, smooth grid-connected power output, and absorb new energy over long periods, placing higher demands on the safe and stable operation of the power system and the efficient utilization of new energy. Energy storage systems, with their bidirectional power regulation, rapid response, and energy time-shifting capabilities, can absorb electrical energy when new energy output is abundant and release it when output is insufficient. They are a crucial technical means to improve the large-scale absorption capacity of new energy and grid-friendliness.

[0003] Currently, the organization of energy storage resources at renewable energy power plants is becoming increasingly diversified, mainly including dedicated power plant energy storage, joint power plant energy storage, and externally shared energy storage. Dedicated power plant energy storage primarily serves the power smoothing and schedule tracking needs of a single renewable energy power plant; joint power plant energy storage addresses the energy storage service needs of multiple renewable energy power plants, improving the coordinated regulation capabilities of multiple plants through centralized energy storage resources; and externally shared energy storage, as an energy storage service resource independent of individual power plants, provides supplementary regulation capabilities for renewable energy power plants. Different resource organization methods differ in terms of service targets, power demand aggregation methods, energy boundary constraints, and state-of-charge (SOC) operating ranges. Existing methods often model specific energy storage organization methods separately, lacking a unified service operation description method applicable to multiple organization methods.

[0004] Furthermore, different types of novel energy storage exhibit significant differences in response speed, power support capacity, energy sustainability, and state-of-charge (SOC) operating characteristics. Power-type energy storage is suitable for handling rapid power fluctuations and short-term plan tracking tasks, while energy-type energy storage is suitable for long-term renewable energy consumption and continuous energy support tasks. Existing energy storage operation methods typically describe energy storage capacity using rated power and rated energy capacity, which fails to reflect the actual callable capacity of energy storage under real-time SOC, charge / discharge boundaries, prediction deviation safety margins, and continuous service time constraints. When the SOC of energy storage is close to its upper or lower limits, or when renewable energy prediction deviations are large, arranging energy storage services solely based on rated power and rated capacity can easily lead to problems such as unenforceable energy storage service boundaries, insufficient continuous energy supply, or inadequate coverage of renewable energy regulation needs. Summary of the Invention

[0005] To address the challenges of uniformly representing energy storage service demands under large-scale renewable energy access, the difficulty in reflecting real-time callable capacity with rated energy storage capacity, and the difficulty in uniformly describing service operation boundaries under different energy storage organization methods, the primary objective of this invention is to provide a unified description of rapid power regulation demands, long-term energy regulation demands, and general regulation demands. This improves the executability of energy storage service boundaries under renewable energy output fluctuations and prediction deviations, and enables the determination of multi-type novel energy storage callable capacity and sub-mode service operation methods with unified expression of charge and discharge power service range, energy service range, and state of charge operation range under different energy storage organization methods.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a method for determining the callable capacity of multiple types of novel energy storage and operating it in different modes, the method comprising the following sequential steps:

[0007] (1) Define the new energy power station, operating period, prediction deviation scenario and service direction, calculate the output deviation and charging and discharging power demand of the new energy power station, and calculate the power demand, energy demand and duration demand of the energy storage service task. Construct a multi-timescale energy storage service demand vector for new energy power stations and classify energy storage service tasks by time scale;

[0008] (2) Based on duration requirements Service direction As input, based on the energy storage rated parameters, state of charge, charge and discharge constraints, and prediction deviation safety margin, the callable power boundary, callable energy boundary, continuous service time boundary, and state of charge operating range of the energy storage unit under the corresponding service task are determined;

[0009] (3) Vectorize energy storage service demand By matching with the available capacity boundary, a sub-mode energy storage service operation model is constructed for site-specific energy storage, external shared energy storage, and site-joint energy storage, so as to obtain the charging and discharging power service range, energy service range, and state of charge operation range of energy storage under different modes.

[0010] Step (1) specifically includes the following steps in sequence:

[0011] (1a) Define new energy power stations, operating periods, prediction deviation scenarios, and service directions:

[0012] ;

[0013] ;

[0014] ;

[0015] ;

[0016] In the formula, For the collection of new energy power stations, Indicates the first One new energy power station; A collection of runtime segments. Indicates the first One runtime segment; For the set of prediction deviation scenarios, Indicates the first One scenario of prediction bias; This is a collection of services for energy storage. Indicates the charging direction. Indicates the direction of discharge; , , These represent the number of new energy power stations, the number of operating periods, and the number of prediction deviation scenarios, respectively.

[0017] (1b) Calculate the scenario output of new energy power stations under different prediction deviation scenarios based on the predicted output and prediction deviation of new energy power stations; calculate the output deviation of new energy power stations based on the planned output and scenario output.

[0018] (1c) Determine the discharge power demand based on the output deviation of the new energy power station, and determine the charging power demand based on the output deviation;

[0019] (1d) Group consecutively occurring energy storage service demands in the same direction into energy storage service task intervals, and calculate the power demand, energy demand and duration demand of the energy storage service tasks.

[0020] (1e) Construct a multi-timescale energy storage service demand vector for new energy power stations, and classify energy storage service tasks according to time scale based on duration requirements and response time requirements.

[0021] Step (2) specifically includes the following steps in sequence:

[0022] (2a) Classification of energy storage types:

[0023] (2a1) Define the set of energy storage units :

[0024] ;

[0025] In the formula, Indicates the first One energy storage unit; This refers to the number of energy storage units;

[0026] (2a2) Calculate the equivalent duration of the energy storage unit based on its rated energy capacity and rated power:

[0027] ;

[0028] in:

[0029] ;

[0030] In the formula, For energy storage units The equivalent duration; For energy storage units Rated energy capacity; For energy storage units The reference value for rated power; and Energy storage units Maximum charging power and maximum discharging power;

[0031] (2a3) Based on response time and equivalent duration, energy storage units are classified into power-type energy storage. Energy storage and composite energy storage :

[0032] ;

[0033] In the formula, For energy storage units type For energy storage units Response time; Power-type energy storage Response time threshold; Power-type energy storage The upper limit of the equivalent duration; For energy storage The lower limit of the equivalent duration;

[0034] (2b) Establish energy storage state of charge and charge / discharge operation constraints:

[0035] (2b1) Establish the relationship between the state of charge of the energy storage unit and the stored energy:

[0036] ;

[0037] In the formula, For energy storage units During the period The state of charge; For energy storage units During the period Storing energy;

[0038] Determine the lower and upper limits of the permissible energy for energy storage units:

[0039] ;

[0040] ;

[0041] In the formula, and Energy storage units The upper limit of the state of charge and the upper limit of the state of charge; and Energy storage units The minimum and maximum allowable storage energy;

[0042] (2b2) ​​Establish the recursive relationship of energy state of energy storage unit:

[0043] ;

[0044] In the formula, and Energy storage units During the period The actual charging power and actual discharging power; and Energy storage units The charging efficiency and discharging efficiency; The length of a single time period;

[0045] (2b3) Establish charging and discharging power constraints for energy storage units:

[0046] ;

[0047] ;

[0048] ;

[0049] In the formula, and Energy storage units During the period The charging and discharging state variables are used to constrain energy storage units from charging and discharging simultaneously during the same period.

[0050] (2c) Calculate the safety margin of prediction bias:

[0051] (2c1) Determine the set of service objects corresponding to the energy storage unit:

[0052] ;

[0053] In the formula, For energy storage units The corresponding set of service targets for new energy power stations; For the collection of new energy power stations;

[0054] (2c2) Calculate the aggregated prediction deviation for the energy storage unit based on the prediction deviation of the new energy power stations within the service object set:

[0055] ;

[0056] In the formula, For energy storage units During the period Prediction bias scenarios The corresponding aggregation prediction bias; For new energy power stations During the period Prediction bias scenarios Prediction bias below;

[0057] (2c3) Calculate the power safety margin and energy safety margin based on the aggregation prediction deviation:

[0058] ;

[0059] ;

[0060] In the formula, For energy storage units During the period Power safety margin; For energy storage units During the period Energy safety margin; and These are the power safety margin factor and the energy safety margin factor, respectively. For energy storage units The number of forward-looking service periods; A summation index for the lookup service period; For the set of prediction deviation scenarios; For energy storage units During the forward-looking service period Prediction bias scenarios The corresponding aggregate prediction bias is below. The calculation method and same;

[0061] (2d) Determine the boundary of available energy storage capacity:

[0062] (2d1) Determine the available discharge energy and available charging energy of the energy storage unit:

[0063] ;

[0064] ;

[0065] In the formula, For energy storage units During the period Available discharge energy; For energy storage units During the period Available charging energy;

[0066] (2d2) oriented duration is For energy storage service tasks, determine the available discharge power and available charging power of the energy storage unit:

[0067] ;

[0068] ;

[0069] In the formula, and Energy storage units During the period Duration-oriented The available discharge power and available charging power;

[0070] (2d3) Determine the continuous service time boundary of the energy storage unit:

[0071] ;

[0072] In the formula, For energy storage units During the period Service direction The continuous service time boundary below; For energy storage units During the period Service direction The available energy; For energy storage units During the period Duration-oriented When performing service tasks in the service direction The available power; when for At that time, the available charging energy is used. and available charging power Calculate; when for At that time, the available discharge energy is used. and callable discharge power calculate; The minimum positive number is preset;

[0073] (2d4) Determine the operating range of the energy storage unit's state of charge:

[0074] ;

[0075] ;

[0076] In the formula, and Energy storage units During the period The lower and upper limits of the state of charge operation.

[0077] Step (3) specifically includes the following steps in sequence:

[0078] (3) Vectorize energy storage service demand By matching with the available capacity boundary, a sub-mode energy storage service operation model is constructed for site-specific energy storage, external shared energy storage, and site-joint energy storage, so as to obtain the charging and discharging power service range, energy service range, and state of charge operation range of energy storage under different modes.

[0079] (3a) Constructing a dedicated energy storage service operation model for the site:

[0080] (3a1) Define a new energy power station The dedicated energy storage system for the site is as follows:

[0081] ;

[0082] In the formula, For new energy power stations Dedicated energy storage systems for the site; A collection of energy storage units;

[0083] (3a2) Dedicated energy storage at the site in the service direction Next to the The power service range that an energy storage service task can provide for:

[0084] ;

[0085] Dedicated energy storage at the site serves the following directions Next to the The energy service range that an energy storage service task can provide for:

[0086] ;

[0087] In the formula, , , They are new energy power stations In terms of service direction Next Power requirements, energy requirements, and duration requirements for each energy storage service task; For energy storage units In the The start time of each energy storage service task Service direction Below, duration requirement Callable power; For energy storage units During the mission start period Service direction The available energy;

[0088] (3a3) Constructing an operation model for dedicated energy storage services at power stations:

[0089] ;

[0090] In the formula, For new energy power stations In terms of service direction Next Output of the site-specific energy storage service operation model for each energy storage service task; and These refer to the power service range and energy service range that the dedicated energy storage at the site can provide, respectively.

[0091] (3b) Construct an operation model for external shared energy storage services:

[0092] (3b1) Define the first The collection of new energy power stations and the collection of external shared energy storage within the external shared energy storage service area are as follows:

[0093] ;

[0094] ;

[0095] In the formula, For the first A collection of new energy power stations within an external shared energy storage service area; For the first An external shared energy storage collection within an external shared energy storage service area; Assign a number to the area designated for external shared energy storage services; For the collection of new energy power stations;

[0096] (3b2) Calculate the external shared energy storage service demand boundary for new energy power plants:

[0097] New energy power stations The external shared energy storage power service demand boundary is:

[0098] ;

[0099] New energy power stations The external shared energy storage energy service demand boundary is:

[0100] ;

[0101] In the formula, and They are new energy power stations In terms of service direction Next The power service demand boundary and energy service demand boundary of each energy storage service task still need to be undertaken by external shared energy storage;

[0102] (3b3) Summarize the power demand within the external shared energy storage service area:

[0103] External shared energy storage service area during time period The total charging power demand and total discharging power demand are as follows:

[0104] ;

[0105] ;

[0106] In the formula, For the first An external shared energy storage service area during the time period Summarize charging power requirements; For the first An external shared energy storage service area during the time period Summarize the discharge power requirements;

[0107] (3b4) Calculate the power and energy service range that external shared energy storage can provide:

[0108] The power service range and energy service range that external shared energy storage can provide are as follows:

[0109] ;

[0110] ;

[0111] In the formula, and The first External shared energy storage service areas in service direction The range of power and energy services that can be provided below; when for hour, ;when for hour, ; For energy storage units During the period Service direction The available energy; For energy storage units During the period Duration-oriented When performing service tasks in the service direction The available power;

[0112] (3b5) Construct an operation model for external shared energy storage services:

[0113] ;

[0114] In the formula, For the first An external shared energy storage service area during the time period Service direction Output of the external shared energy storage service operation model;

[0115] (3c) Constructing a joint energy storage service operation model for power stations:

[0116] (3c1) Define the first The set of joint energy storage service recipients and the set of joint energy storage are as follows:

[0117] ;

[0118] ;

[0119] In the formula, For the first A collection of energy storage service targets for individual stations; For the first A combined energy storage system for multiple sites; Number the area for the integrated energy storage service of the site;

[0120] (3c2) Based on the charging and discharging power requirements of each new energy power station within the set of joint energy storage service targets, determine the time period for joint energy storage at the power station. Net power requirement:

[0121] ;

[0122] Determine the time period for joint energy storage at the site based on net power demand. Discharge power requirements and charging power requirements:

[0123] ;

[0124] ;

[0125] In the formula, For the first The joint energy storage service area of ​​each station during the time period Net power requirements; For the first Joint energy storage at each site during the period The discharge power requirement; For the first Joint energy storage at each site during the period The charging power requirement; when When, it indicates that there is a demand for discharge services in the combined energy storage area; when This indicates that there is a demand for charging services in the combined energy storage area;

[0126] The power service range and energy service range that the (3c3) site-integrated energy storage can provide are as follows:

[0127] ;

[0128] ;

[0129] In the formula, and The first Joint energy storage at individual sites in service direction The range of power and energy services that can be provided below; when for hour, ;when for hour, ; For new energy power stations During the period The discharge power requirement; For new energy power stations During the period The charging power requirement;

[0130] (3c4) Constructing a joint energy storage service operation model for power stations:

[0131] ;

[0132] In the formula, For the first Joint energy storage at each site during the period Service direction Output of the operation model for the combined energy storage service at the site;

[0133] The operation model of the dedicated energy storage service at the site, the operation model of the external shared energy storage service, and the operation model of the joint energy storage service at the site together constitute the sub-mode energy storage service operation model;

[0134] (3d) Output the state-of-charge operating range under different resource organization methods:

[0135] ;

[0136] In the formula, and Energy storage units During the period The lower and upper limits of the state of charge operation; For energy storage units During the period The state of charge.

[0137] Step (1b) specifically includes the following steps in sequence:

[0138] (1b1) Based on the predicted output and prediction deviation of new energy sources, calculate the scenario output of new energy power stations under different prediction deviation scenarios:

[0139] ;

[0140] In the formula, For new energy power stations During the period The predicted output; For new energy power stations During the period Prediction bias scenarios Prediction bias below; For new energy power stations During the period Prediction bias scenarios The following scene contributes its strength;

[0141] (1b2) Calculate the output deviation of the new energy power station based on the planned output and the scenario output:

[0142] ;

[0143] In the formula, For new energy power stations During the period The plan is to contribute; For new energy power stations During the period Prediction bias scenarios The output deviation is below.

[0144] Step (1c) specifically includes the following steps in sequence:

[0145] (1c1) Determine the discharge power requirement based on the output deviation of the new energy power station:

[0146] ;

[0147] In the formula, For new energy power stations During the period The discharge power requirement; For new energy power stations During the period Prediction bias scenarios The output deviation is below;

[0148] (1c2) Determine the charging power requirement based on the output deviation:

[0149] ;

[0150] in:

[0151] ;

[0152] In the formula, For new energy power stations During the period The charging power requirement; when for hour, ;when for hour, ; For service direction; Let be any real number variable. To obtain the positive operator; when hour, ,when hour, .

[0153] Step (1d) specifically includes the following steps in sequence:

[0154] (1d1) Group consecutive energy storage service demands in the same direction into energy storage service task intervals:

[0155] ;

[0156] In the formula, For new energy power stations In terms of service direction The next One energy storage service task area; ; Assign a task number to the energy storage service; For the first The starting time period of each energy storage service task area; For the first The number of time periods included in each energy storage service task interval;

[0157] (1d2) Calculate the power demand, energy demand, and duration demand for the energy storage service task:

[0158] ;

[0159] ;

[0160] ;

[0161] In the formula, , , They are respectively new energy power stations In terms of service direction Next Power requirements, energy requirements, and duration requirements for each energy storage service task; The length of a single time period.

[0162] Step (1e) specifically includes the following steps in sequence:

[0163] (1e1) Constructing a multi-timescale energy storage service demand vector for new energy power plants:

[0164] ;

[0165] In the formula, For new energy power stations In terms of service direction Next The demand vector for an energy storage service task; For the first Response time requirements for each energy storage service task; , , They are respectively new energy power stations In terms of service direction Next Power requirements, energy requirements, and duration requirements for each energy storage service task;

[0166] (1e2) Based on duration requirements and response time requirements Classify energy storage service tasks by time scale:

[0167] ;

[0168] In the formula, For new energy power stations In terms of service direction The next The task type of each energy storage service task; Indicates a rapid power regulation task; Indicates a long-term energy regulation task; Indicates general regulatory tasks; The upper limit of the duration of a rapid power regulation task; This represents the lower limit of the duration of a long-term energy regulation task. This is the upper limit for the response time of a fast power regulation task.

[0169] Another object of the present invention is to provide an electronic device comprising:

[0170] Processor; and

[0171] The memory stores computer program instructions, which, when executed by the processor, cause the processor to perform the method described above for determining the multi-type novel energy storage callable capabilities and operating services in different modes.

[0172] The present invention also provides a computer-readable storage medium storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the method described above for determining and operating multiple types of novel energy storage callable capabilities and sub-mode services.

[0173] As can be seen from the above technical solution, the present invention has the following beneficial effects: First, the present invention can transform the deviation between the actual output and planned output of new energy power plants into quantifiable energy storage service tasks, realizing a unified description of rapid power regulation needs, long-term energy regulation needs, and general regulation needs, overcoming the shortcomings of existing methods that only describe energy storage needs based on single-period power deviations and are difficult to reflect continuous service time and cumulative energy needs; Second, the present invention determines the callable power boundary, callable energy boundary, and continuous service time boundary of energy storage based on the rated power, rated energy capacity, response time, state of charge, charge and discharge constraints, and prediction deviation safety margin of various types of energy storage, transforming the energy storage service capability from a static rated parameter characterization to a real-time callable capability characterization, improving the energy storage service capability under conditions of new energy output fluctuations and prediction deviations. The invention addresses several key aspects: First, it ensures the executability of service boundaries. Second, it categorizes energy storage into power-type, energy-type, and composite energy storage based on response time and equivalent duration, reflecting the differences in rapid power support and long-term energy support among different types of energy storage. This provides a basis for matching the regulation needs of new energy power plants with the service capabilities of various energy storage types. Third, it constructs a multi-mode energy storage service operation model for three resource organization methods: dedicated energy storage at power plants, joint energy storage at power plants, and externally shared energy storage. This model determines the service range of dedicated energy storage at a single power plant, the service range of joint energy storage at multiple power plants, and the service boundaries of externally shared energy storage. This achieves a unified expression of the charging and discharging power service range, energy service range, and state-of-charge operation range under different energy storage organization methods, providing technical support for smoothing new energy output, tracking planned output, and long-term new energy consumption. Attached Figure Description

[0174] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0175] like Figure 1 As shown, a method for determining the callable capacity of multiple types of novel energy storage and operating it in different modes includes the following steps in sequence:

[0176] (1) Define the new energy power station, operating period, prediction deviation scenario and service direction, calculate the output deviation and charging and discharging power demand of the new energy power station, and calculate the power demand, energy demand and duration demand of the energy storage service task. Construct a multi-timescale energy storage service demand vector for new energy power stations and classify energy storage service tasks by time scale;

[0177] (2) Based on duration requirements Service direction As input, based on the energy storage rated parameters, state of charge, charge and discharge constraints, and prediction deviation safety margin, the callable power boundary, callable energy boundary, continuous service time boundary, and state of charge operating range of the energy storage unit under the corresponding service task are determined;

[0178] (3) Vectorize energy storage service demand By matching with the available capacity boundary, a sub-mode energy storage service operation model is constructed for site-specific energy storage, external shared energy storage, and site-joint energy storage, so as to obtain the charging and discharging power service range, energy service range, and state of charge operation range of energy storage under different modes.

[0179] Step (1) specifically includes the following steps in sequence:

[0180] (1a) Define new energy power stations, operating periods, prediction deviation scenarios, and service directions:

[0181] ;

[0182] ;

[0183] ;

[0184] ;

[0185] In the formula, For the collection of new energy power stations, Indicates the first One new energy power station; A collection of runtime segments. Indicates the first One runtime segment; For the set of prediction deviation scenarios, Indicates the first One scenario of prediction bias; This is a collection of services for energy storage. Indicates the charging direction. Indicates the direction of discharge; , , These represent the number of new energy power stations, the number of operating periods, and the number of prediction deviation scenarios, respectively.

[0186] (1b) Calculate the scenario output of new energy power stations under different prediction deviation scenarios based on the predicted output and prediction deviation of new energy power stations; calculate the output deviation of new energy power stations based on the planned output and scenario output.

[0187] (1c) Determine the discharge power demand based on the output deviation of the new energy power station, and determine the charging power demand based on the output deviation;

[0188] (1d) Group consecutively occurring energy storage service demands in the same direction into energy storage service task intervals, and calculate the power demand, energy demand and duration demand of the energy storage service tasks.

[0189] (1e) Construct a multi-timescale energy storage service demand vector for new energy power stations, and classify energy storage service tasks according to time scale based on duration requirements and response time requirements.

[0190] Step (2) specifically includes the following steps in sequence:

[0191] (2a) Classification of energy storage types:

[0192] (2a1) Define the set of energy storage units :

[0193] ;

[0194] In the formula, Indicates the first One energy storage unit; This refers to the number of energy storage units;

[0195] (2a2) Calculate the equivalent duration of the energy storage unit based on its rated energy capacity and rated power:

[0196] ;

[0197] in:

[0198] ;

[0199] In the formula, For energy storage units The equivalent duration; For energy storage units Rated energy capacity; For energy storage units The reference value for rated power; and Energy storage units Maximum charging power and maximum discharging power;

[0200] (2a3) Based on response time and equivalent duration, energy storage units are classified into power-type energy storage. Energy storage and composite energy storage :

[0201] ;

[0202] In the formula, For energy storage units type For energy storage units Response time; Power-type energy storage Response time threshold; Power-type energy storage The upper limit of the equivalent duration; For energy storage The lower limit of the equivalent duration;

[0203] (2b) Establish energy storage state of charge and charge / discharge operation constraints:

[0204] (2b1) Establish the relationship between the state of charge of the energy storage unit and the stored energy:

[0205] ;

[0206] In the formula, For energy storage units During the period The state of charge; For energy storage units During the period Storing energy;

[0207] Determine the lower and upper limits of the permissible energy for energy storage units:

[0208] ;

[0209] ;

[0210] In the formula, and Energy storage units The upper limit of the state of charge and the upper limit of the state of charge; and Energy storage units The minimum and maximum allowable storage energy;

[0211] (2b2) ​​Establish the recursive relationship of energy state of energy storage unit:

[0212] ;

[0213] In the formula, and Energy storage units During the period The actual charging power and actual discharging power; and Energy storage units The charging efficiency and discharging efficiency; The length of a single time period;

[0214] (2b3) Establish charging and discharging power constraints for energy storage units:

[0215] ;

[0216] ;

[0217] ;

[0218] In the formula, and Energy storage units During the period The charging and discharging state variables are used to constrain energy storage units from charging and discharging simultaneously during the same period.

[0219] (2c) Calculate the safety margin of prediction bias:

[0220] (2c1) Determine the set of service objects corresponding to the energy storage unit:

[0221] ;

[0222] In the formula, For energy storage units The corresponding set of service targets for new energy power stations; For the collection of new energy power stations;

[0223] (2c2) Calculate the aggregated prediction deviation for the energy storage unit based on the prediction deviation of the new energy power stations within the service object set:

[0224] ;

[0225] In the formula, For energy storage units During the period Prediction bias scenarios The corresponding aggregation prediction bias; For new energy power stations During the period Prediction bias scenarios Prediction bias below;

[0226] (2c3) Calculate the power safety margin and energy safety margin based on the aggregation prediction deviation:

[0227] ;

[0228] ;

[0229] In the formula, For energy storage units During the period Power safety margin; For energy storage units During the period Energy safety margin; and These are the power safety margin factor and the energy safety margin factor, respectively. For energy storage units The number of forward-looking service periods; A summation index for the lookup service period; For the set of prediction deviation scenarios; For energy storage units During the forward-looking service period Prediction bias scenarios The corresponding aggregate prediction bias is below. The calculation method and same;

[0230] (2d) Determine the boundary of available energy storage capacity:

[0231] (2d1) Determine the available discharge energy and available charging energy of the energy storage unit:

[0232] ;

[0233] ;

[0234] In the formula, For energy storage units During the period Available discharge energy; For energy storage units During the period Available charging energy;

[0235] (2d2) oriented duration is For energy storage service tasks, determine the available discharge power and available charging power of the energy storage unit:

[0236] ;

[0237] ;

[0238] In the formula, and Energy storage units During the period Duration-oriented The available discharge power and available charging power;

[0239] (2d3) Determine the continuous service time boundary of the energy storage unit:

[0240] ;

[0241] In the formula, For energy storage units During the period Service direction The continuous service time boundary below; For energy storage units During the period Service direction The available energy; For energy storage units During the period Duration-oriented When performing service tasks in the service direction The available power; when for At that time, the available charging energy is used. and available charging power Calculate; when for At that time, the available discharge energy is used. and callable discharge power calculate; The minimum positive number is preset;

[0242] (2d4) Determine the operating range of the energy storage unit's state of charge:

[0243] ;

[0244] ;

[0245] In the formula, and Energy storage units During the period The lower and upper limits of the state of charge operation.

[0246] Step (3) specifically includes the following steps in sequence:

[0247] (3) Vectorize energy storage service demand By matching with the available capacity boundary, a sub-mode energy storage service operation model is constructed for site-specific energy storage, external shared energy storage, and site-joint energy storage, so as to obtain the charging and discharging power service range, energy service range, and state of charge operation range of energy storage under different modes.

[0248] (3a) Constructing a dedicated energy storage service operation model for the site:

[0249] (3a1) Define a new energy power station The dedicated energy storage system for the site is as follows:

[0250] ;

[0251] In the formula, For new energy power stations Dedicated energy storage systems for the site; A collection of energy storage units;

[0252] (3a2) Dedicated energy storage at the site in the service direction Next to the The power service range that an energy storage service task can provide for:

[0253] ;

[0254] Dedicated energy storage at the site serves the following directions Next to the The energy service range that an energy storage service task can provide for:

[0255] ;

[0256] In the formula, , , They are new energy power stations In terms of service direction Next Power requirements, energy requirements, and duration requirements for each energy storage service task; For energy storage units In the The start time of each energy storage service task Service direction Below, duration requirement Callable power; For energy storage units During the mission start period Service direction The available energy;

[0257] (3a3) Constructing an operation model for dedicated energy storage services at power stations:

[0258] ;

[0259] In the formula, For new energy power stations In terms of service direction Next Output of the site-specific energy storage service operation model for each energy storage service task; and These refer to the power service range and energy service range that the dedicated energy storage at the site can provide, respectively.

[0260] (3b) Construct an operation model for external shared energy storage services:

[0261] (3b1) Define the first The collection of new energy power stations and the collection of external shared energy storage within the external shared energy storage service area are as follows:

[0262] ;

[0263] ;

[0264] In the formula, For the first A collection of new energy power stations within an external shared energy storage service area; For the first An external shared energy storage collection within an external shared energy storage service area; Assign a number to the area designated for external shared energy storage services; For the collection of new energy power stations;

[0265] (3b2) Calculate the external shared energy storage service demand boundary for new energy power plants:

[0266] New energy power stations The external shared energy storage power service demand boundary is:

[0267] ;

[0268] New energy power stations The external shared energy storage energy service demand boundary is:

[0269] ;

[0270] In the formula, and They are new energy power stations In terms of service direction Next The power service demand boundary and energy service demand boundary of each energy storage service task still need to be undertaken by external shared energy storage;

[0271] (3b3) Summarize the power demand within the external shared energy storage service area:

[0272] External shared energy storage service area during time period The total charging power demand and total discharging power demand are as follows:

[0273] ;

[0274] ;

[0275] In the formula, For the first An external shared energy storage service area during the time period Summarize charging power requirements; For the first An external shared energy storage service area during the time period Summarize the discharge power requirements;

[0276] (3b4) Calculate the power and energy service range that external shared energy storage can provide:

[0277] The power service range and energy service range that external shared energy storage can provide are as follows:

[0278] ;

[0279] ;

[0280] In the formula, and The first External shared energy storage service areas in service direction The range of power and energy services that can be provided below; when for hour, ;when for hour, ; For energy storage units During the period Service direction The available energy; For energy storage units During the period Duration-oriented When performing service tasks in the service direction The available power;

[0281] (3b5) Construct an operation model for external shared energy storage services:

[0282] ;

[0283] In the formula, For the first An external shared energy storage service area during the time period Service direction Output of the external shared energy storage service operation model;

[0284] (3c) Constructing a joint energy storage service operation model for power stations:

[0285] (3c1) Define the first The set of joint energy storage service recipients and the set of joint energy storage are as follows:

[0286] ;

[0287] ;

[0288] In the formula, For the first A collection of energy storage service targets for individual stations; For the first A combined energy storage system for multiple sites; Number the area for the integrated energy storage service of the site;

[0289] (3c2) Based on the charging and discharging power requirements of each new energy power station within the set of joint energy storage service targets, determine the time period for joint energy storage at the power station. Net power requirement:

[0290] ;

[0291] Determine the time period for joint energy storage at the site based on net power demand. Discharge power requirements and charging power requirements:

[0292] ;

[0293] ;

[0294] In the formula, For the first The joint energy storage service area of ​​each station during the time period Net power requirements; For the first Joint energy storage at each site during the period The discharge power requirement; For the first Joint energy storage at each site during the period The charging power requirement; when When, it indicates that there is a demand for discharge services in the combined energy storage area; when This indicates that there is a demand for charging services in the combined energy storage area;

[0295] The power service range and energy service range that the (3c3) site-integrated energy storage can provide are as follows:

[0296] ;

[0297] ;

[0298] In the formula, and The first Joint energy storage at individual sites in service direction The range of power and energy services that can be provided below; when for hour, ;when for hour, ; For new energy power stations During the period The discharge power requirement; For new energy power stations During the period The charging power requirement;

[0299] (3c4) Constructing a joint energy storage service operation model for power stations:

[0300] ;

[0301] In the formula, For the first Joint energy storage at each site during the period Service direction Output of the operation model for the combined energy storage service at the site;

[0302] The operation model of the dedicated energy storage service at the site, the operation model of the external shared energy storage service, and the operation model of the joint energy storage service at the site together constitute the sub-mode energy storage service operation model;

[0303] (3d) Output the state-of-charge operating range under different resource organization methods:

[0304] ;

[0305] In the formula, and Energy storage units During the period The lower and upper limits of the state of charge operation; For energy storage units During the period The state of charge.

[0306] Step (1b) specifically includes the following steps in sequence:

[0307] (1b1) Based on the predicted output and prediction deviation of new energy sources, calculate the scenario output of new energy power stations under different prediction deviation scenarios:

[0308] ;

[0309] In the formula, For new energy power stations During the period The predicted output; For new energy power stations During the period Prediction bias scenarios Prediction bias below; For new energy power stations During the period Prediction bias scenarios The following scene contributes its strength;

[0310] (1b2) Calculate the output deviation of the new energy power station based on the planned output and the scenario output:

[0311] ;

[0312] In the formula, For new energy power stations During the period The plan is to contribute; For new energy power stations During the period Prediction bias scenarios The output deviation is below.

[0313] Step (1c) specifically includes the following steps in sequence:

[0314] (1c1) Determine the discharge power requirement based on the output deviation of the new energy power station:

[0315] ;

[0316] In the formula, For new energy power stations During the period The discharge power requirement; For new energy power stations During the period Prediction bias scenarios The output deviation is below;

[0317] (1c2) Determine the charging power requirement based on the output deviation:

[0318] ;

[0319] in:

[0320] ;

[0321] In the formula, For new energy power stations During the period The charging power requirement; when for hour, ;when for hour, ; For service direction; Let be any real number variable. To obtain the positive operator; when hour, ,when hour, .

[0322] Step (1d) specifically includes the following steps in sequence:

[0323] (1d1) Group consecutive energy storage service demands in the same direction into energy storage service task intervals:

[0324] ;

[0325] In the formula, For new energy power stations In terms of service direction The next One energy storage service task area; ; Number the energy storage service task; For the first The starting time period of each energy storage service task area; For the first The number of time periods included in each energy storage service task interval;

[0326] (1d2) Calculate the power demand, energy demand, and duration demand for the energy storage service task:

[0327] ;

[0328] ;

[0329] ;

[0330] In the formula, , , They are new energy power stations In terms of service direction Next Power requirements, energy requirements, and duration requirements for each energy storage service task; The length of a single time period.

[0331] Step (1e) specifically includes the following steps in sequence:

[0332] (1e1) Constructing a multi-timescale energy storage service demand vector for new energy power plants:

[0333] ;

[0334] In the formula, For new energy power stations In terms of service direction Next The demand vector for an energy storage service task; For the first Response time requirements for each energy storage service task; , , They are new energy power stations In terms of service direction Next Power requirements, energy requirements, and duration requirements for each energy storage service task;

[0335] (1e2) Based on duration requirements and response time requirements Classify energy storage service tasks by time scale:

[0336] ;

[0337] In the formula, For new energy power stations In terms of service direction The next The task type of each energy storage service task; Indicates a rapid power regulation task; Indicates a long-term energy regulation task; Indicates general regulatory tasks; The upper limit of the duration of a rapid power regulation task; This represents the lower limit of the duration of a long-term energy regulation task. This is the upper limit for the response time of a fast power regulation task.

[0338] In summary, this invention can transform the deviation between the actual and planned output of new energy power plants into quantifiable energy storage service tasks, achieving a unified description of rapid power regulation needs, long-term energy regulation needs, and general regulation needs. This overcomes the shortcomings of existing methods that only describe energy storage needs based on single-period power deviations and are unable to reflect continuous service time and cumulative energy demand. Based on the rated power, rated energy capacity, response time, state of charge, charge and discharge constraints, and prediction deviation safety margin of various types of energy storage, this invention determines the callable power boundary, callable energy boundary, and continuous service time boundary of energy storage, transforming the energy storage service capability from a static rated parameter characterization to a real-time callable capability characterization, thus improving the executability of energy storage service boundaries under conditions of new energy output fluctuations and prediction deviations. This invention classifies energy storage into power-type energy storage, energy-type energy storage, and composite energy storage based on response time and equivalent duration. This reflects the differences between different types of energy storage in terms of rapid power support and long-term energy support, providing a basis for matching the regulation needs of new energy power plants with the service capabilities of multiple types of energy storage. Furthermore, this invention constructs a multi-mode energy storage service operation model for three resource organization methods: dedicated energy storage at power plants, joint energy storage at power plants, and externally shared energy storage. It determines the service range of dedicated energy storage at a single power plant, the service range of joint energy storage at multiple power plants, and the service boundary of externally shared energy storage, respectively. This achieves a unified expression of the charging and discharging power service range, energy service range, and state of charge operation range under different energy storage organization methods, providing technical support for smoothing new energy output, tracking planned output, and long-term new energy consumption.

[0339] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for determining the callable capacity of multiple types of novel energy storage and operating it in different modes, characterized in that: The method includes the following steps in sequence: (1) Define the new energy power station, operating period, prediction deviation scenario and service direction, calculate the output deviation and charging and discharging power demand of the new energy power station, and calculate the power demand, energy demand and duration demand of the energy storage service task. Construct a multi-timescale energy storage service demand vector for new energy power stations and classify energy storage service tasks by time scale; (2) Based on duration requirements Service direction As input, based on the energy storage rated parameters, state of charge, charge and discharge constraints, and prediction deviation safety margin, the callable power boundary, callable energy boundary, continuous service time boundary, and state of charge operating range of the energy storage unit under the corresponding service task are determined; (3) Vectorize energy storage service demand By matching with the available capacity boundary, a sub-mode energy storage service operation model is constructed for site-specific energy storage, external shared energy storage, and site-joint energy storage, so as to obtain the charging and discharging power service range, energy service range, and state of charge operation range of energy storage under different modes.

2. The method for determining the callable capacity of multiple types of novel energy storage and operating in different modes according to claim 1, characterized in that: Step (1) specifically includes the following steps in sequence: (1a) Define new energy power stations, operating periods, prediction deviation scenarios, and service directions: ； ； ； ； In the formula, For the collection of new energy power stations, Indicates the first One new energy power station; A collection of runtime segments. Indicates the first One runtime segment; For the set of prediction deviation scenarios, Indicates the first One scenario of prediction bias; This is a collection of services for energy storage. Indicates the charging direction. Indicates the direction of discharge; , , These represent the number of new energy power stations, the number of operating periods, and the number of prediction deviation scenarios, respectively. (1b) Calculate the scenario output of new energy power stations under different prediction deviation scenarios based on the predicted output and prediction deviation of new energy power stations; calculate the output deviation of new energy power stations based on the planned output and scenario output. (1c) Determine the discharge power demand based on the output deviation of the new energy power station, and determine the charging power demand based on the output deviation; (1d) Group consecutively occurring energy storage service demands in the same direction into energy storage service task intervals, and calculate the power demand, energy demand and duration demand of the energy storage service tasks. (1e) Construct a multi-timescale energy storage service demand vector for new energy power stations, and classify energy storage service tasks according to time scale based on duration requirements and response time requirements.

3. The method for determining the callable capacity of multiple types of novel energy storage and operating in different modes according to claim 1, characterized in that: Step (2) specifically includes the following steps in sequence: (2a) Classification of energy storage types: (2a1) Define the set of energy storage units : ； In the formula, Indicates the first One energy storage unit; This refers to the number of energy storage units; (2a2) Calculate the equivalent duration of the energy storage unit based on its rated energy capacity and rated power: ； in: ； In the formula, For energy storage units The equivalent duration; For energy storage units Rated energy capacity; For energy storage units The reference value for rated power; and Energy storage units Maximum charging power and maximum discharging power; (2a3) Based on response time and equivalent duration, energy storage units are classified into power-type energy storage. Energy storage and composite energy storage : ； In the formula, For energy storage units type For energy storage units Response time; Power-type energy storage Response time threshold; Power-type energy storage The upper limit of the equivalent duration; For energy storage The lower limit of the equivalent duration; (2b) Establish energy storage state of charge and charge / discharge operation constraints: (2b1) Establish the relationship between the state of charge of the energy storage unit and the stored energy: ； In the formula, For energy storage units During the period The state of charge; For energy storage units During the period Storing energy; Determine the lower and upper limits of the permissible energy for energy storage units: ； ； In the formula, and Energy storage units The upper limit of the state of charge and the upper limit of the state of charge; and Energy storage units The minimum and maximum allowable storage energy; (2b2) ​​Establish the recursive relationship of energy state of energy storage unit: ； In the formula, and Energy storage units During the period The actual charging power and actual discharging power; and Energy storage units The charging efficiency and discharging efficiency; The length of a single time period; (2b3) Establish charging and discharging power constraints for energy storage units: ； ； ； In the formula, and Energy storage units During the period The charging and discharging state variables are used to constrain energy storage units from charging and discharging simultaneously during the same period. (2c) Calculate the safety margin of prediction bias: (2c1) Determine the set of service objects corresponding to the energy storage unit: ； In the formula, For energy storage units The corresponding set of service targets for new energy power stations; For the collection of new energy power stations; (2c2) Calculate the aggregated prediction deviation for the energy storage unit based on the prediction deviation of the new energy power stations within the service object set: ； In the formula, For energy storage units During the period Prediction bias scenarios The corresponding aggregation prediction bias; For new energy power stations During the period Prediction bias scenarios Prediction bias below; (2c3) Calculate the power safety margin and energy safety margin based on the aggregation prediction deviation: ； ； In the formula, For energy storage units During the period Power safety margin; For energy storage units During the period Energy safety margin; and These are the power safety margin factor and the energy safety margin factor, respectively. For energy storage units The number of forward-looking service periods; A summation index for the lookup service period; For the set of prediction deviation scenarios; For energy storage units During the forward-looking service period Prediction bias scenarios The corresponding aggregate prediction bias is below. The calculation method and same; (2d) Determine the boundary of available energy storage capacity: (2d1) Determine the available discharge energy and available charging energy of the energy storage unit: ； ； In the formula, For energy storage units During the period Available discharge energy; For energy storage units During the period Available charging energy; (2d2) oriented duration is For energy storage service tasks, determine the available discharge power and available charging power of the energy storage unit: ； ； In the formula, and Energy storage units During the period Duration-oriented The available discharge power and available charging power; (2d3) Determine the continuous service time boundary of the energy storage unit: ； In the formula, For energy storage units During the period Service direction The continuous service time boundary below; For energy storage units During the period Service direction The available energy; For energy storage units During the period Duration-oriented When performing service tasks in the service direction The available power; when for At that time, the available charging energy is used. and available charging power Calculate; when for At that time, the available discharge energy is used. and callable discharge power calculate; The minimum positive number is preset. (2d4) Determine the operating range of the energy storage unit's state of charge: ； ； In the formula, and Energy storage units During the period The lower and upper limits of the state of charge operation.

4. The method for determining the callable capacity of multiple types of novel energy storage and operating in different modes according to claim 1, characterized in that: Step (3) specifically includes the following steps in sequence: (3) Vectorize energy storage service demand Matching with the callable capacity boundary, a sub-mode energy storage service operation model is constructed for on-site dedicated energy storage, external shared energy storage, and on-site joint energy storage, to obtain the charging and discharging power service range, energy service range, and state of charge operation range of energy storage under different modes. (3a) Constructing the on-site dedicated energy storage service operation model: (3a1) Define a new energy power station The dedicated energy storage system for the site is as follows: ； In the formula, For new energy power stations Dedicated energy storage systems for the site; A collection of energy storage units; (3a2) Dedicated energy storage at the site in the service direction Next to the The power service range that an energy storage service task can provide for: ； Dedicated energy storage at the site serves the following directions Next to the The energy service range that an energy storage service task can provide for: ； In the formula, , , They are new energy power stations In terms of service direction Next Power requirements, energy requirements, and duration requirements for each energy storage service task; For energy storage units In the The start time of each energy storage service task Service direction Below, duration requirement Callable power; For energy storage units During the mission start period Service direction The available energy; (3a3) Constructing an operation model for dedicated energy storage services at power stations: ； In the formula, For new energy power stations In terms of service direction Next Output of the site-specific energy storage service operation model for each energy storage service task; and These refer to the power service range and energy service range that the dedicated energy storage at the site can provide, respectively. (3b) Construct an operation model for external shared energy storage services: (3b1) Define the first The collection of new energy power stations and the collection of external shared energy storage within the external shared energy storage service area are as follows: ； ； In the formula, For the first A collection of new energy power stations within an external shared energy storage service area; For the first An external shared energy storage collection within an external shared energy storage service area; Assign a number to the area designated for external shared energy storage services; For the collection of new energy power stations; (3b2) Calculate the external shared energy storage service demand boundary for new energy power plants: New energy power stations The external shared energy storage power service demand boundary is: ； New energy power stations The external shared energy storage energy service demand boundary is: ； In the formula, and They are new energy power stations In terms of service direction Next The power service demand boundary and energy service demand boundary of each energy storage service task still need to be undertaken by external shared energy storage; (3b3) Summarize the power demand within the external shared energy storage service area: External shared energy storage service area during time period The total charging power demand and total discharging power demand are as follows: ； ； In the formula, For the first An external shared energy storage service area during the time period Summarize charging power requirements; For the first An external shared energy storage service area during the time period Summarize the discharge power requirements; (3b4) Calculate the power and energy service range that external shared energy storage can provide: The power service range and energy service range that external shared energy storage can provide are as follows: ； ； In the formula, and The first External shared energy storage service areas in service direction The range of power and energy services that can be provided below; when for hour, ;when for hour, ; For energy storage units During the period Service direction The available energy; For energy storage units During the period Duration-oriented When performing service tasks in the service direction The available power; (3b5) Construct an operation model for external shared energy storage services: ； In the formula, For the first An external shared energy storage service area during the time period Service direction Output of the external shared energy storage service operation model; (3c) Constructing a joint energy storage service operation model for power stations: (3c1) Define the first The set of joint energy storage service recipients and the set of joint energy storage are as follows: ； ； In the formula, For the first A collection of energy storage service targets for individual stations; For the first A combined energy storage system for multiple sites; Number the area for the integrated energy storage service of the site; (3c2) Based on the charging and discharging power requirements of each new energy power station within the set of joint energy storage service targets, determine the time period for joint energy storage at the power station. Net power requirement: ； Determine the time period for joint energy storage at the site based on net power demand. Discharge power requirements and charging power requirements: ； ； In the formula, For the first The joint energy storage service area of ​​each station during the time period Net power requirements; For the first Joint energy storage at each site during the period The discharge power requirement; For the first Joint energy storage at each site during the period The charging power requirement; when When, it indicates that there is a demand for discharge services in the combined energy storage area; when This indicates that there is a demand for charging services in the combined energy storage area; The power service range and energy service range that the (3c3) site-integrated energy storage can provide are as follows: ； ； In the formula, and The first Joint energy storage at individual sites in service direction The range of power and energy services that can be provided below; when for hour, ;when for hour, ; For new energy power stations During the period The discharge power requirement; For new energy power stations During the period The charging power requirement; (3c4) Constructing a joint energy storage service operation model for power stations: ； In the formula, For the first Joint energy storage at each site during the period Service direction Output of the operation model for the combined energy storage service at the site; The operation model of the dedicated energy storage service at the site, the operation model of the external shared energy storage service, and the operation model of the joint energy storage service at the site together constitute the sub-mode energy storage service operation model; (3d) Output the state-of-charge operating range under different resource organization methods: ； In the formula, and Energy storage units During the period The lower and upper limits of the state of charge operation; For energy storage units During the period The state of charge.

5. The method for determining the callable capacity of multiple types of novel energy storage and operating in different modes according to claim 2, characterized in that: Step (1b) specifically includes the following steps in sequence: (1b1) Based on the predicted output and prediction deviation of new energy sources, calculate the scenario output of new energy power stations under different prediction deviation scenarios: ； In the formula, For new energy power stations During the period The predicted output; For new energy power stations During the period Prediction bias scenarios Prediction bias below; For new energy power stations During the period Prediction bias scenarios The following scene contributes its strength; (1b2) Calculate the output deviation of the new energy power station based on the planned output and the scenario output: ； In the formula, For new energy power stations During the period The plan is to contribute; For new energy power stations During the period Prediction bias scenarios The output deviation is below.

6. The method for determining the callable capacity of multiple types of novel energy storage and the method for sub-mode service operation according to claim 2, characterized in that: Step (1c) specifically includes the following steps in sequence: (1c1) Determine the discharge power requirement based on the output deviation of the new energy power station: ； In the formula, For new energy power stations During the period The discharge power requirement; For new energy power stations During the period Prediction bias scenarios The output deviation is below; (1c2) Determine the charging power requirement based on the output deviation: ； in: ； In the formula, For new energy power stations During the period The charging power requirement; when for hour, ;when for hour, ; For service direction; Let be any real number variable. To obtain the positive operator; when hour, ,when hour, .

7. The method for determining the callable capacity of multiple types of novel energy storage and operating in different modes according to claim 2, characterized in that: Step (1d) specifically includes the following steps in sequence: (1d1) Group consecutive energy storage service demands in the same direction into energy storage service task intervals: ； In the formula, For new energy power stations In terms of service direction The next One energy storage service task area; ; Assign a task number to the energy storage service; For the first The starting time period of each energy storage service task area; For the first The number of time periods included in each energy storage service task interval; (1d2) Calculate the power demand, energy demand, and duration demand for the energy storage service task: ； ； ； In the formula, , , They are new energy power stations In terms of service direction Next Power requirements, energy requirements, and duration requirements for each energy storage service task; The length of a single time period.

8. The method for determining the callable capacity of multiple types of novel energy storage and operating in different modes according to claim 2, characterized in that: Step (1e) specifically includes the following steps in sequence: (1e1) Constructing a multi-timescale energy storage service demand vector for new energy power plants: ； In the formula, For new energy power stations In terms of service direction Next The demand vector for an energy storage service task; For the first Response time requirements for each energy storage service task; , , They are new energy power stations In terms of service direction Next Power requirements, energy requirements, and duration requirements for each energy storage service task; (1e2) Based on duration requirements and response time requirements Classify energy storage service tasks by time scale: ； In the formula, For new energy power stations In terms of service direction The next The task type of each energy storage service task; Indicates a rapid power regulation task; Indicates a long-term energy regulation task; Indicates general regulatory tasks; The upper limit of the duration of a rapid power regulation task; This represents the lower limit of the duration of a long-term energy regulation task. This is the upper limit for the response time of a fast power regulation task.

9. An electronic device, comprising: processor; as well as A memory storing computer program instructions, which, when executed by the processor, cause the processor to perform the method for determining and operating multiple types of novel energy storage callable capabilities and sub-mode services as described in any one of claims 1-8.

10. A computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, cause the processor to perform the method for determining and operating multiple types of novel energy storage callable capabilities and sub-mode services as described in any one of claims 1-8.

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