Power system real-time scheduling method and system considering multivariate novel energy storage characteristics

Abstract

The invention discloses a power system real-time scheduling method and system considering multivariate novel energy storage characteristics, and the method comprises the steps: building a deviation probability model according to historical new energy power generation prediction deviation data, and calculating the new energy power generation deviation; frequency modulation power output of frequency modulation resources is calculated according to the new energy power generation deviation, the frequency modulation resources comprise a traditional unit and multi-element novel energy storage, and the multi-element novel energy storage comprises compressed air energy storage, gravity energy storage and electrochemical energy storage; and establishing an optimization probability scheduling model by taking minimization of the operation cost of the power system as a target, and solving the optimization probability scheduling model to obtain a power generation plan of the power system. According to the method, the actual operation characteristics of multi-element novel energy storage are combined, corresponding opportunity constraint conditions and mathematical expectation cost are designed based on the dynamic corresponding requirements of the actual frequency modulation process of the power grid, the new energy system probability scheduling model combining the operation characteristics of the multi-element novel energy storage is constructed, and the reliability and the resource utilization rate of the power grid are improved.

Description

Technical Field

[0001] The present invention relates to a probabilistic dispatching technology for an electric power system, and in particular to a real-time dispatching method and system for an electric power system taking into account characteristics of multiple new energy storages. Background Art

[0002] With the continuous construction of new power systems, new energy represented by wind power and photovoltaic power has developed rapidly, bringing uncertainty, intermittency and randomness to the active power and frequency control of the power grid. New energy storage has the characteristics of fast response, precise control, and two-way regulation, showing fast and flexible regulation capabilities, and is gradually being applied to the stable operation of power systems.

[0003] The operating characteristics of new multi-faceted energy storage determine that it is closely involved in automatic power generation control while participating in economic scheduling. Only considering the strategy design of a single type of energy storage under specific scheduling conditions and ignoring the mutual influence between various types of energy storage will result in the designed scheduling strategy being unable to maximize the economy and stability of new multi-faceted energy storage. Summary of the invention

[0004] Purpose of the invention: The purpose of the present invention is to provide a method and system for real-time dispatching of power systems taking into account the deviation of renewable energy power generation and the characteristics of multiple new energy storage, so as to improve the reliability and resource utilization of real-time dispatching of power systems.

[0005] Technical solution: The real-time dispatching method of the power system considering the characteristics of the multi-element new energy storage system described in the present invention comprises the following steps:

[0006] Establish a deviation probability model based on historical new energy power generation forecast deviation data to calculate new energy power generation deviation;

[0007] Calculating the frequency modulation power output of the frequency modulation resources according to the new energy power generation deviation, wherein the frequency modulation resources include traditional units and multi-new energy storage, and the multi-new energy storage includes compressed air energy storage, gravity energy storage and electrochemical energy storage;

[0008] An optimized probability dispatching model is established with the goal of minimizing the operating cost of the power system, and the power generation plan of the power system is obtained by solving the optimized probability dispatching model.

[0009] Furthermore, the deviation probability model is established based on the historical new energy power generation forecast deviation data, and the calculation of the new energy power generation deviation includes:

[0010] The deviation probability model is:

[0011]

[0012] Among them, π i is the mixing coefficient of the i-th Gaussian component, μi and are their mean and standard deviation respectively, K is the number of Gaussian components;

[0013] Deviation probability models for photovoltaic and wind power are established respectively, and the photovoltaic prediction deviation and wind power prediction deviation are calculated.

[0014] Further, the calculating the frequency modulation power output of the frequency modulation resource according to the new energy power generation deviation includes:

[0015] The frequency modulation power output of the frequency modulation resource is calculated by the following formula:

[0016]

[0017] Among them, P i,pho and P i,wind Respectively represent the photovoltaic prediction deviation and wind power prediction deviation, P ACE Represents the regional control deviation of the power grid during this period; α CAES , α GES , α BES and Represent compressed air energy storage, gravity energy storage, electrochemical energy storage and the i A The frequency regulation power allocation factor of the frequency regulation thermal power unit in period t; P CAES , P GES , P BES and Represents compressed air energy storage, gravity energy storage, electrochemical energy storage and the i A The frequency-regulated power output of each frequency-regulated thermal power unit.

[0018] Furthermore, the optimization probability dispatching model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatching model to obtain the power system power generation plan includes:

[0019] The optimization probability dispatch model aims to minimize the sum of the power generation costs of non-frequency-regulated thermal power units and frequency-regulated thermal power units, the mathematical expectation costs of compressed air energy storage, gravity energy storage and thermal power units participating in frequency regulation, and the costs of abandoned solar power and abandoned wind power.

[0020] Furthermore, the optimization probability dispatching model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatching model to obtain the power system power generation plan includes:

[0021] The objective function of the optimized probability scheduling model is:

[0022]

[0023] Among them, N G,nA and N G,Aare the number of non-frequency-regulated thermal power units and frequency-regulated thermal power units, and Represents the i nA The power generation cost parameters of non-frequency-regulated thermal power units are: and Represents the i A The power generation cost parameters of frequency-regulated thermal power units; and Represents the operation status of the corresponding unit at the corresponding time, both of which are 0 and 1 parameters; and For the i nA Non-frequency-regulated thermal power units and the i A The power generation of frequency-regulated thermal power units, E[.] is the fuzzy expected value calculation expression of the corresponding equipment, E CAES 、E GES and E G,A They represent the fuzzy expected values ​​of compressed air energy storage, gravity energy storage and frequency-regulated thermal power units respectively; E pho and E wind They are the cost of curtailing solar power and the cost of curtailing wind power respectively.

[0024] Furthermore, the optimization probability dispatch model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatch model to obtain the power system power generation plan includes:

[0025] The fuzzy expected value calculation expression is:

[0026]

[0027] In the formula, and Respectively represent the cost of compressed air energy storage, gravity energy storage and frequency regulation thermal power units per unit of positive and negative frequency regulation when participating in frequency regulation; P CAES , P GES and P G,A Represents the output power k of the corresponding device when participating in frequency modulation pho and k wind represents the unit cost of curtailed solar power and wind power; PDF(.) represents the probability density of the output power of the corresponding equipment.

[0028] Furthermore, the optimization probability dispatch model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatch model to obtain the power system power generation plan includes:

[0029] The opportunity constraints of the optimized probabilistic scheduling model include stable interval opportunity constraints:

[0030]

[0031] Among them, ηch and η dis Represent the charging efficiency and discharging efficiency of compressed air energy storage, gravity energy storage or electrochemical energy storage, respectively, P ch and P dis They represent the charging power and discharging power of compressed air energy storage, gravity energy storage or electrochemical energy storage respectively, requiring that the probability that the state of charge is between 10% and 90% is greater than the confidence level α1.

[0032] Furthermore, the optimization probability dispatching model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatching model to obtain the power system power generation plan includes:

[0033] The opportunity constraints of the optimized probabilistic scheduling model include the ramp rate opportunity constraints:

[0034] Pr(ΔP+P≤ΔP max )≥α2

[0035] Among them, ΔP represents the ramp rate of the equipment in the scheduling, P represents the ramp rate of this minute, and ΔP max represents the maximum ramp rate of the compressed air energy storage or frequency-regulated thermal power unit, and α2 represents the confidence level of the ramp rate opportunity constraint.

[0036] Furthermore, the optimization probability dispatching model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatching model to obtain the power system power generation plan includes:

[0037] The opportunity constraints of the optimized probabilistic scheduling model include the recovery power opportunity constraints:

[0038]

[0039] Among them, P ACE,1 Represents the frequency modulation dead zone boundary, SOC low , SOC high , SOC min and SOC max Represents multiple state boundaries of electrochemical energy storage; P BES represents the frequency modulated power output of electrochemical energy storage, α BES represents the frequency modulation power allocation factor of electrochemical energy storage, P BC and P BD Indicates the rated charging power and rated discharging power of electrochemical energy storage.

[0040] The real-time dispatching system of the electric power system considering the characteristics of the multivariate new energy storage system of the present invention comprises:

[0041] A new energy power generation deviation calculation unit is used to establish a deviation probability model based on historical new energy power generation forecast deviation data and calculate the new energy power generation deviation;

[0042] A frequency modulation power output calculation unit, used to calculate the frequency modulation power output of the frequency modulation resources according to the new energy power generation deviation, the frequency modulation resources include traditional units and multi-new energy storage, the multi-new energy storage includes compressed air energy storage, gravity energy storage and electrochemical energy storage;

[0043] The power generation plan calculation unit is used to establish an optimized probability scheduling model with the goal of minimizing the power system operation cost, and solve the optimized probability scheduling model to obtain the power system power generation plan.

[0044] The electronic device described in the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is loaded into the processor, the real-time dispatching method of the power system considering the characteristics of the multivariate new energy storage is implemented.

[0045] The computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the real-time dispatching method of the power system considering the characteristics of the multivariate new energy storage is implemented.

[0046] Beneficial effect: Compared with the prior art, the advantages of the present invention are: on the basis of the economic dispatch of the traditional power grid, the present invention takes into account the power fluctuation problem caused by the uncertainty of new energy generation. In combination with the actual operating characteristics of multi-new energy storage, based on the dynamic corresponding demand of the actual frequency regulation process of the power grid, the corresponding opportunity constraints and mathematical expected costs are designed, and according to the interconnection influence of economic dispatch and dynamic frequency regulation, a new energy system probabilistic dispatch model combining the operating characteristics of multi-new energy storage is constructed, and the real-time power generation plan of thermal power units and multi-new energy storage is calculated, so as to give full play to the ability of multi-new energy storage to respond quickly, accurately control and adjust in both directions, improve the ability of the power grid to cope with the uncertainty of new energy generation, and improve the reliability and resource utilization of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flow chart of the real-time dispatching method of the electric power system of the present invention;

[0048] Figure 2 This is a diagram of the architecture of the power system real-time dispatching system of the present invention. DETAILED DESCRIPTION

[0049] The technical solution of the present invention is further described below in conjunction with the accompanying drawings.

[0050] like Figure 1 As shown, the real-time dispatching method of the power system considering the characteristics of multiple new energy storage systems includes the following steps.

[0051] S1. Obtain the power required by the grid area load, the upper and lower limits of the output power of traditional units and multiple new energy storage systems, the upper and lower limits of the ramp rate and the output power cost, the predicted power generation of new energy in the corresponding period, the probability distribution of the predicted output deviation of new energy based on historical data, and the cost of wind and solar power abandonment.

[0052] S2. Design a deviation probability model based on historical new energy power generation forecast deviation data, calculate the corresponding regional deviation, obtain the corresponding frequency regulation power probability model, and design a frequency division method based on the actual operating characteristics of the corresponding multivariate new energy storage.

[0053] In this step, the historical forecast deviation data can be fitted through the expectation algorithm to obtain the corresponding Gaussian mixture probability distribution model of new energy power generation forecast deviation.

[0054]

[0055] In the formula, π i is the mixing coefficient of the i-th Gaussian component, μ i and are their mean and standard deviation respectively, K is the number of Gaussian components. In actual calculations, the number of fitted Gaussian distributions can be adjusted according to the actual data distribution to obtain a more accurate probability of deviation in new energy power generation prediction.

[0056] In this step, the predicted power generation deviation of new energy is calculated according to formula (1), and the frequency regulation power output of the corresponding frequency regulation resource is designed. The formula is as follows:

[0057]

[0058] Where P i,pho and P i,wind They represent the photovoltaic and wind power forecast deviations respectively, and their sum is equal to the regional control deviation P of the power grid during this period. ACE , α CAES , α GES , α BES and Represent compressed air energy storage, gravity energy storage, electrochemical energy storage and the i A The frequency regulation power allocation factor of each frequency regulation thermal power unit in period t, their sum should be equal to 1. CAES , P GES , P BES and Represents the FM power output of the corresponding device.

[0059] S3. Objective function of probabilistic dispatch based on economic design of traditional economic dispatch and participation of multiple new energy storage in regional automatic power generation control.

[0060] In this step, the optimization probability dispatch model aims to minimize the system operation cost, and assumes that the basic operation and maintenance cost of wind, solar and energy storage power stations is not taken into account. Its objective function is as follows:

[0061]

[0062] The first and second items in formula (3) represent the power generation costs of non-frequency-regulated thermal power units (conventional units) and frequency-regulated thermal power units. The third, fourth and fifth items represent the mathematical expectation costs of compressed air energy storage, gravity energy storage and thermal power units participating in frequency regulation. The sixth and seventh items represent the costs of abandoned solar power and abandoned wind power.

[0063] Among them, N G,nA and N G,A are the number of conventional units and frequency-regulated thermal power units, and Represents the i nA The power generation cost parameters of conventional units are: and Represents the operating status of the corresponding unit at the corresponding time, both of which are 0 or 1 parameters. and Represents the i A The power generation cost parameters of frequency-regulated thermal power units, and For the i nA Conventional units and the i A The power generation capacity of frequency-regulated thermal power units, E[.] is the fuzzy expected value calculation expression for the corresponding equipment.

[0064] In this step, the calculation function of the expected cost of frequency regulation considering the frequency regulation thermal power units and new energy storage is as follows:

[0065]

[0066] In the formula, and They represent the cost of positive and negative frequency modulation per unit when the corresponding equipment participates in frequency modulation; P CAES , P GES and P G,A Represents the output power of the corresponding device when participating in frequency modulation, k pho and k wind represents the unit cost of curtailed solar and wind power; PDF(.) represents the probability density of the output power of the corresponding equipment.

[0067] S4. Design a dynamic automatic generation control constraint model using the frequency regulation characteristics of thermal power and multiple new energy storage systems. Design opportunity constraints based on the impact of automatic generation control on the probabilistic dispatch model to ensure that the dispatch is established within the corresponding confidence interval.

[0068] The corresponding opportunity constraints should be designed according to the frequency regulation requirements and the operating characteristics of new energy storage. Among them, the following should be considered: the change in the charge state of new energy storage when it participates in frequency regulation, and the design of the recovery method based on the charge state of electrochemical energy storage; the climbing rate of thermal power units and compressed air energy storage units with slow climbing speed during the frequency regulation time, to ensure that they will not exceed the upper limit of the climbing rate within the corresponding time limit.

[0069] S4.1. Ensure that the state of charge of each type of new energy storage is within the stable range when considering frequency regulation through the following opportunity constraints to ensure the stability of the dispatch process:

[0070]

[0071] Where η ch and η dis Represent the charging and discharging efficiency of each type of new energy storage system, P ch and P dis They represent the charging and discharging power of each type of new energy storage system respectively, requiring that the probability that the state of charge of the energy storage is between 10% and 90% is greater than the confidence level α1.

[0072] S4.2. Design the corresponding ramp rate opportunity constraints as follows to ensure the stability of the system at the confidence level:

[0073] Pr(ΔP+P≤ΔP max )≥α2 (6)

[0074] In the formula, ΔP represents the ramp rate of the equipment in the scheduling, P represents the ramp rate of this minute, and ΔP max represents the maximum ramp rate of compressed air energy storage and frequency regulation thermal power units, and α2 represents the confidence level of this opportunity constraint.

[0075] S4.3. Due to the fast frequency modulation speed of electrochemical energy storage, in order to prevent the overcharge and discharge of electrochemical energy storage from damaging the battery life, it is necessary to combine the ACE frequency modulation requirements and SOC to design the corresponding recovery power, as shown below:

[0076]

[0077] Where P ACE,1 Represents the frequency modulation dead zone boundary. When in the frequency modulation dead zone, the electrochemical energy storage should be charged and discharged according to its own state of charge to ensure that the state of charge can be maintained at a safe and economic level. When in the frequency modulation interval, the electrochemical energy storage performs power compensation according to its own state of charge while modulating the frequency to maintain the SOC in a relatively economical range. SOC low , SOC high , SOC min and SOC maxThey represent the state boundaries of electrochemical energy storage, which are generally set to 0.4, 0.6, 0.1 and 0.9, respectively. BC and P BD Indicates the rated charge and discharge power of electrochemical energy storage.

[0078] S5. Combine the above constraints and objective functions to build a new energy system probabilistic dispatch model that combines the operating characteristics of multiple new energy storage systems, and calculate the spare capacity and real-time power generation plan of thermal power units and multiple new energy storage systems.

[0079] like Figure 2 As shown, the real-time dispatching system of the electric power system considering the characteristics of the multivariate new energy storage system of the present invention comprises:

[0080] The data collection unit obtains the power required by the grid area load, the upper and lower limits of the output power of thermal power units and multiple new energy storage systems, the upper and lower limits of the ramp rate and the output power cost, the predicted amount of new energy power generation in the corresponding period, the historical new energy predicted output power deviation data, and the cost of wind and solar power abandonment.

[0081] The new energy power generation deviation calculation unit is used to establish a deviation probability model based on historical new energy power generation forecast deviation data and calculate the new energy power generation deviation.

[0082] The frequency modulation power output calculation unit is used to calculate the frequency modulation power output of the frequency modulation resources according to the new energy power generation deviation. The frequency modulation resources include traditional units and multi-new energy storage. The multi-new energy storage includes compressed air energy storage, gravity energy storage and electrochemical energy storage.

[0083] The power generation plan calculation unit is used to establish an optimized probability scheduling model with the goal of minimizing the operating cost of the power system, and solve the optimized probability scheduling model to obtain the power system power generation plan; the power generation plan calculation unit includes an objective function design module, a constraint condition design module and a real-time power generation plan design module.

[0084] Objective function design module, which designs the objective function of probabilistic dispatch based on the economic performance of traditional economic dispatch and multi-element new energy storage participating in regional automatic power generation control;

[0085] The constraint design module uses the frequency regulation characteristics of thermal power and multi-element new energy storage to design a dynamic automatic generation control constraint model, and designs opportunity constraints based on the impact of automatic generation control on the probabilistic dispatch model to ensure that the dispatch is established within the corresponding confidence interval;

[0086] The real-time power generation plan design module uses an optimized probability model to calculate the real-time power generation plan of thermal power units and multiple new energy storage systems to improve system reliability and resource utilization.

[0087] The electronic device described in the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is loaded into the processor, the real-time dispatching method of the power system considering the characteristics of the multivariate new energy storage is implemented.

[0088] The computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the real-time dispatching method of the power system considering the characteristics of the multivariate new energy storage is implemented.

[0089] The computer-readable storage media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, flash memory, or any other medium that can be used to store the desired program code in the form of instructions or data structures and that can be accessed by a computer.

[0090] The processor is used to execute the computer program stored in the memory to implement each step of the method involved in the above embodiment.

Claims

1. A real-time dispatching method for a power system considering the characteristics of multiple new energy storage, characterized in that: The steps include: Establish a deviation probability model based on historical new energy power generation forecast deviation data to calculate new energy power generation deviation; Calculating the frequency modulation power output of the frequency modulation resources according to the new energy power generation deviation, wherein the frequency modulation resources include traditional units and multi-new energy storage, and the multi-new energy storage includes compressed air energy storage, gravity energy storage and electrochemical energy storage; An optimized probability dispatching model is established with the goal of minimizing the operating cost of the power system, and the power generation plan of the power system is obtained by solving the optimized probability dispatching model.

2. The real-time dispatching method for a power system considering the characteristics of multiple new energy storage according to claim 1 is characterized in that: The deviation probability model is established based on the historical new energy power generation forecast deviation data to calculate the new energy power generation deviation, including: The deviation probability model is: Among them, π i is the mixing coefficient of the i-th Gaussian component, μ i and are their mean and standard deviation respectively, K is the number of Gaussian components; Deviation probability models for photovoltaic and wind power are established respectively, and the photovoltaic prediction deviation and wind power prediction deviation are calculated.

3. The real-time dispatching method for a power system considering the characteristics of multiple new energy storage according to claim 2 is characterized in that: The calculating the frequency modulation power output of the frequency modulation resource according to the new energy power generation deviation comprises: The frequency modulation power output of the frequency modulation resource is calculated by the following formula: Among them, P i,pho and P i,wind Respectively represent the photovoltaic prediction deviation and wind power prediction deviation, P ACE Represents the regional control deviation of the power grid during this period; α CAES , α GES , α BES and Represent compressed air energy storage, gravity energy storage, electrochemical energy storage and the i A The frequency regulation power allocation factor of the frequency regulation thermal power unit in period t; P CAES , P GES , P BES and Represents compressed air energy storage, gravity energy storage, electrochemical energy storage and the i A The frequency-regulated power output of each frequency-regulated thermal power unit.

4. The real-time dispatching method for a power system considering the characteristics of multiple new energy storage according to claim 1, characterized in that: The optimization probability dispatch model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatch model to obtain the power system power generation plan includes: The optimization probability dispatch model aims to minimize the sum of the power generation costs of non-frequency-regulated thermal power units and frequency-regulated thermal power units, the mathematical expectation costs of compressed air energy storage, gravity energy storage and thermal power units participating in frequency regulation, and the costs of abandoned solar power and abandoned wind power.

5. The real-time dispatching method for a power system considering the characteristics of multiple new energy storage according to claim 4 is characterized in that: The optimization probability dispatch model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatch model to obtain the power system power generation plan includes: The objective function of the optimized probability scheduling model is: Among them, N G,nA and N G,A are the number of non-frequency-regulated thermal power units and frequency-regulated thermal power units, and Represents the i nA The power generation cost parameters of non-frequency-regulated thermal power units are: and Represents the i A The power generation cost parameters of frequency-regulated thermal power units; and Represents the operation status of the corresponding unit at the corresponding time, both of which are 0 and 1 parameters; and For the i nA Non-frequency-regulated thermal power units and the i A The power generation of frequency-regulated thermal power units, E[.] is the fuzzy expected value calculation expression of the corresponding equipment, E CAES 、E GES and E G,A They represent the fuzzy expected values ​​of compressed air energy storage, gravity energy storage and frequency-regulated thermal power units respectively; E pho and E wind They are the cost of curtailing solar power and the cost of curtailing wind power respectively.

6. The real-time dispatching method of the electric power system considering the characteristics of the multi-element new energy storage according to claim 5 is characterized in that: The optimization probability dispatch model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatch model to obtain the power system power generation plan includes: The fuzzy expected value calculation expression is: In the formula, and Respectively represent the cost of compressed air energy storage, gravity energy storage and frequency regulation thermal power units per unit of positive and negative frequency regulation when participating in frequency regulation; P CAES , P GES and P G,A Represents the output power k of the corresponding device when participating in frequency modulation pho and k wind represents the unit cost of curtailed solar power and wind power; PDF(.) represents the probability density of the output power of the corresponding equipment.

7. The real-time dispatching method for a power system considering the characteristics of multiple new energy storage according to claim 1, characterized in that: The optimization probability dispatch model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatch model to obtain the power system power generation plan includes: The opportunity constraints of the optimization probability scheduling model include stable interval opportunity constraints: Among them, η ch and η dis Represent the charging efficiency and discharging efficiency of compressed air energy storage, gravity energy storage or electrochemical energy storage, respectively, P ch and P dis They represent the charging power and discharging power of compressed air energy storage, gravity energy storage or electrochemical energy storage respectively, requiring that the probability that the state of charge is between 10% and 90% is greater than the confidence level α1.

8. The real-time dispatching method for electric power system considering the characteristics of multi-element new energy storage according to claim 1, characterized in that: The optimization probability dispatch model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatch model to obtain the power system power generation plan includes: The opportunity constraints of the optimized probabilistic scheduling model include the ramp rate opportunity constraints: Pr(ΔP+P≤ΔP max )≥α2 Among them, ΔP represents the ramp rate of the equipment in the scheduling, P represents the ramp rate of this minute, and ΔP max represents the maximum ramp rate of the compressed air energy storage or frequency-regulated thermal power unit, and α2 represents the confidence level of the ramp rate opportunity constraint.

9. The real-time dispatching method for electric power system considering the characteristics of multi-element new energy storage according to claim 1, characterized in that: The optimization probability dispatch model is established with the goal of minimizing the power system operation cost, and solving the optimization probability dispatch model to obtain the power system power generation plan includes: The opportunity constraints of the optimized probabilistic scheduling model include the recovery power opportunity constraints: Among them, P ACE,1 Represents the frequency modulation dead zone boundary, SOC low , SOC high , SOC min and SOC max Represents multiple state boundaries of electrochemical energy storage; P BES represents the frequency modulated power output of electrochemical energy storage, α BES represents the frequency modulation power allocation factor of electrochemical energy storage, P BC and P BD Indicates the rated charging power and rated discharging power of electrochemical energy storage.

10. A real-time dispatching system for electric power system considering the characteristics of multiple new energy storage, characterized in that: include: A new energy power generation deviation calculation unit is used to establish a deviation probability model based on historical new energy power generation forecast deviation data and calculate the new energy power generation deviation; A frequency modulation power output calculation unit, used to calculate the frequency modulation power output of the frequency modulation resources according to the new energy power generation deviation, the frequency modulation resources include traditional units and multi-new energy storage, the multi-new energy storage includes compressed air energy storage, gravity energy storage and electrochemical energy storage; The power generation plan calculation unit is used to establish an optimized probability scheduling model with the goal of minimizing the power system operation cost, and solve the optimized probability scheduling model to obtain the power system power generation plan.

11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is loaded into the processor, the real-time dispatching method of the power system considering the characteristics of the multi-element new energy storage system according to any one of claims 1 to 9 is implemented.

12. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, a real-time dispatching method for a power system taking into account the characteristics of multiple new energy storage systems according to any one of claims 1 to 9 is implemented.

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