Method for calculating cost of providing primary frequency modulation and inertia service for energy storage auxiliary new energy

Abstract

The invention discloses a method for calculating cost of providing primary frequency modulation and inertia service for energy storage auxiliary new energy, and relates to the technical field of power system scheduling and auxiliary service cost estimation, and the method comprises the steps: building a model including building a thermal power generating unit, providing primary frequency modulation for energy storage and inertia service based on inertia response and a system frequency modulation process; and combining new energy consumption and system frequency safety modeling. A thermal power generating unit, a mechanism for providing primary frequency modulation and inertia service by energy storage and a new energy consumption model are introduced into the scheduling model, and a power system scheduling model for providing primary frequency modulation and inertia service by energy storage auxiliary new energy is formed; and solving the optimization scheduling model, deducing the cost of each auxiliary service based on a dual theory, and calculating the cost of energy storage for providing primary frequency modulation and inertia service through a dual multiplier obtained by solving the scheduling model. The method has better effects in the aspects of reliability and flexibility.

Description

Technical Field

[0001] The present invention relates to the technical field of power system dispatching and auxiliary service cost estimation, and specifically to a method for calculating the cost of energy storage assisting new energy to provide primary frequency regulation and inertia services. Background Art

[0002] With the construction of a new power system, the penetration rate of renewable energy in the power grid is continuously increasing, and this trend poses more stringent requirements for the security and reliability of the power system. To enhance the stability of the power system and expand the main body of power grid auxiliary service providers, seeking auxiliary services from new flexible resources such as energy storage and adjustable new energy has received increasing attention. Reasonably evaluating the costs and benefits of flexible resources participating in auxiliary regulation can further encourage their participation in the auxiliary service market, thereby optimizing the allocation efficiency of auxiliary service resources.

[0003] Regarding the evaluation of the costs of auxiliary services and their benefits in the market, there have already been quite a few research results. For example, in the literature "Comprehensive Analysis of Energy Storage Power Stations Participating in Auxiliary Services" (Liao Shaofeng. Electrical Technology and Economy, 2023, (07): 164 - 166), a detailed analysis of the benefits of energy storage power stations participating in auxiliary services was carried out, and a full - life - cycle cost model of the energy storage system was established, including the investment and operation costs of the energy storage power station. The benefits of the energy storage power station participating in frequency regulation and peak shaving services were calculated, and considering the actual operation cost model of the energy storage system, economic evaluation indicators for the energy storage system participating in auxiliary services were formed, providing a reference for the investment and construction of the energy storage system participating in auxiliary services. In the literature "Analysis of the Frequency Regulation Compensation Mechanism in the US Frequency Regulation Auxiliary Service Market" (Chen Dapeng, Jing Zhaoxia. Automation of Electric Power Systems, 2017, 41(18): 1 - 9), the frequency regulation compensation mechanisms in several typical frequency regulation auxiliary service markets in the US were analyzed respectively. The core content of the frequency regulation compensation, including capacity revenue and frequency regulation mileage revenue, was elaborated, and the formulas for examining and compensating frequency regulation performance in different US markets were compared and discussed, providing a reference basis for the further development of the frequency regulation auxiliary service market in China.

[0004] Based on various research results, a variety of patents related to the evaluation of the costs and benefits of ancillary services have emerged. For example, Patent 1, "A Method and Device for Calculating the Reserve Ancillary Service Cost of New Energy Power Generation" (Fang Biwu, Fan Zhantao, Lou Nan, Zhang Yong, Chen Yiping, Huang He, Li Jianshe, Yang Lin, Wang Ke, Zhao Huashi, Xiao Yi. CN202310725644.6[P]. 2023-09-12) proposed a method for calculating the reserve ancillary service cost of new energy power generation. By analyzing the prediction deviation between the power system load and the new energy output, the total reserve capacity of the power system was calculated, the reserve capacity of the new energy system was determined, and based on the new energy reserve capacity, the reserve ancillary service cost of the new energy system within a preset duration was obtained. Patent 2, "A Decision-making Method for Power Ancillary Services of Energy Storage Power Stations on the New Energy Side" (Li Qingchun, Zhang Shaoqiang, Zhang Jian, Zhang Ye, Xu Junwei. CN202311746698.7[P]. 2024-04-19) proposed a decision-making method for power ancillary services of energy storage power stations on the new energy side. By using the short-term prediction curve of new energy, the reserved power for the energy storage power station to suppress the new energy fluctuation the next day was determined, and further, the ultra-short-term prediction curve of the new energy power station was used to adjust the new energy fluctuation in the real-time balancing stage. The impact of the frequency modulation signal on the SOC of the energy storage power station and the penalty cost were calculated using the stochastic programming method, and thus the energy storage power station's participation in the frequency modulation market was decided, improving the utilization rate of the energy storage. Summary of the Invention

[0005] In view of the above problems, the present invention is proposed.

[0006] Therefore, the technical problems solved by the present invention are: existing methods for calculating ancillary service costs lack accurate modeling of flexible resources in system scheduling, the calculation method of ancillary service costs is disconnected from the operation process of the power system, the impact of the marginal pricing principle on cost accounting is not fully considered, and how to accurately calculate the costs of energy storage providing primary frequency modulation and inertia services to assist new energy based on optimal scheduling and duality theory.

[0007] To solve the above technical problems, the present invention provides the following technical solution: A method for calculating the costs of energy storage providing primary frequency modulation and inertia services to assist new energy, including constructing a model that includes establishing thermal power units, energy storage providing primary frequency modulation, and inertia service models based on inertia response and the system frequency modulation process, and modeling in combination with new energy consumption and system frequency security. Introduce the mechanisms of thermal power units and energy storage providing primary frequency modulation and inertia services and the new energy consumption model into the scheduling model to form a power system scheduling model for energy storage to assist new energy in providing primary frequency modulation and inertia services; solve the optimal scheduling model, derive the costs of various ancillary services based on duality theory, and calculate the costs of energy storage providing primary frequency modulation and inertia services through the dual multipliers obtained by solving the scheduling model.

[0008] As a preferred embodiment of the method for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia services according to the present invention, the following is provided: The construction based on inertia response and system frequency regulation process includes establishing a thermal power unit, and the models for energy storage to provide primary frequency regulation and inertia services include the frequency regulation reserve model of the thermal power unit, the inertia model of the thermal power unit, the frequency regulation reserve model of the energy storage, and the inertia model of the energy storage.

[0009] As a preferred embodiment of the method for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia services according to the present invention, the following is provided: The modeling combining new energy consumption and system frequency security includes the energy storage assisting new energy consumption model, the system total frequency regulation reserve and inertia summation model, and the system frequency security model.

[0010] As a preferred embodiment of the method for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia services according to the present invention, the following is provided: The power system dispatch model for energy storage assisting new energy in providing primary frequency regulation and inertia services is a convex optimization model, and the objective function is to minimize the sum of the overall electrical energy cost and the ancillary service cost of the power system.

[0011] As a preferred embodiment of the method for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia services according to the present invention, the following is provided: Solving the optimal dispatch model includes using the Lagrangian duality theory to obtain the dual multipliers during the process of solving the optimal model, and the dual multipliers are expressed in the form of the Lagrangian function.

[0012] As a preferred embodiment of the method for calculating the cost of energy storage providing primary frequency regulation and inertia services according to the present invention, the following is provided: Calculating the cost of energy storage providing primary frequency regulation and inertia services includes deriving the formulas for the marginal costs of virtual inertia and fast frequency regulation services using the duality theory, and calculating the cost of energy storage providing primary frequency regulation and inertia services through the dual multipliers.

[0013] Another object of the present invention is to provide a system for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia services, which can introduce the frequency regulation reserve model of the thermal power unit, the inertia model of the thermal power unit, the frequency regulation reserve model of the energy storage, and the inertia model of the energy storage into the power system dispatch model, and combine the duality theory to obtain the marginal costs of ancillary services, thereby solving the problems in the current calculation process of ancillary service costs, such as insufficient consideration of the flexibility of energy storage, inaccurate accounting of frequency regulation and inertia service costs, and the disconnection between the cost calculation method and system operation optimization.

[0014] As a preferred embodiment of the system for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia service according to the present invention, it includes a model construction module, a system scheduling module, and a solution processing module; the model construction module is used to construct models including establishing thermal power units, energy storage providing primary frequency regulation and inertia service models based on inertia response and system frequency regulation process, and combining new energy consumption and system frequency safety modeling; the system scheduling module is used to introduce the mechanisms of thermal power units and energy storage providing primary frequency regulation and inertia service and the new energy consumption model into the scheduling model to form a power system scheduling model for energy storage assisting new energy in providing primary frequency regulation and inertia service; the solution processing module is used to solve the optimal scheduling model, derive the costs of various auxiliary services based on the dual theory, and calculate the costs of energy storage providing primary frequency regulation and inertia service through the dual multipliers obtained by solving the scheduling model.

[0015] A computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements the steps of the method for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia service.

[0016] A computer-readable storage medium stores a computer program thereon. When the computer program is executed by a processor, it implements the steps of the method for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia service.

[0017] Advantages of the present invention: The method for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia service provided by the present invention embeds the inertia response and system frequency regulation process, enabling the system to significantly improve the safety and reliability of the system by optimizing the configuration of auxiliary service resources compared with the traditional model. More refined modeling of energy storage devices in terms of inertia response and frequency regulation effectively incorporates their flexibility, providing more comprehensive considerations for the regulation and scheduling of system frequency and voltage. Using the dual theory to calculate the costs of energy storage providing primary frequency regulation and inertia service is closely related to dispatching operation, ensuring that the obtained cost data is more reliable. The present invention achieves better effects in terms of reliability and flexibility. Description of the Drawings

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for description in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 It is the overall flowchart of a method for calculating the cost of energy storage assisting new energy in providing primary frequency regulation and inertia service provided by the first embodiment of the present invention. Detailed implementation manners

[0020] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following provides a detailed description of the specific implementation manners of the present invention with reference to the accompanying drawings of the specification. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention.

[0021] Example 1, referring to Figure 1 , which is an embodiment of the present invention, provides a method for calculating the cost of energy storage assisting new energy to provide primary frequency regulation and inertia services, including:

[0022] S1: Based on the inertia response and the system frequency regulation process, construct a model including establishing a thermal power unit, energy storage providing primary frequency regulation, and inertia service model, and combine new energy consumption and system frequency safety modeling.

[0023] Furthermore, based on the inertia response and the system frequency regulation process, constructing a model including establishing a thermal power unit, energy storage providing primary frequency regulation, and inertia service model includes the frequency regulation reserve model of the thermal power unit, the inertia model of the thermal power unit, the frequency regulation reserve model of the energy storage, and the inertia model of the energy storage, which are reflected as constraint conditions in the optimization model.

[0024] ① Frequency regulation reserve model of the thermal power unit.

[0025] The frequency regulation reserve model of the thermal power unit includes the following constraints:

[0026] Upper limit constraint of the frequency regulation reserve of the thermal power unit:

[0027] This constraint represents the maximum upper limit of the frequency regulation of the thermal power unit. Among them, is the single-unit frequency regulation reserve capacity of the thermal power unit, is the maximum frequency regulation capacity that a single unit of the thermal power unit can provide.

[0028] Upper limit constraint of the frequency regulation reserve power output of the thermal power unit:

[0029] This constraint represents the limitation of the frequency regulation of the thermal power unit by the current output. Among them, P u,t is the single-unit output of the thermal power unit, is the maximum output of a single unit of the thermal power unit.

[0030] ② Inertia model of the thermal power unit.

[0031] The inertia model of the thermal power unit includes:

[0032] Inertia constraint of the thermal power unit:

[0033] This constraint is the inertia calculation formula for thermal power units, where is the inertia of the thermal power unit, is the inertia coefficient of the thermal power unit.

[0034] ③ Frequency regulation reserve model of energy storage.

[0035] The frequency regulation reserve constraints of energy storage include:

[0036] Total frequency regulation reserve composition constraint of energy storage:

[0037] This constraint represents the composition of the frequency regulation reserve of energy storage, where is the total reserve capacity of energy storage for primary frequency regulation and inertia service, is the power of energy storage for providing inertia, is the primary frequency regulation reserve of energy storage.

[0038] Upper and lower limit constraints of total frequency regulation reserve of energy storage:

[0039] This constraint indicates that the frequency regulation reserve of energy storage is limited by the current charge-discharge power, where and are the charging power, discharging power and maximum output of a single energy storage unit respectively.

[0040] Total frequency regulation energy reserve constraint of energy storage:

[0041] This constraint indicates that the frequency regulation reserve of energy storage is limited by the energy capacity, where is the energy level of energy storage, t reg,dur is the duration of primary frequency regulation, η d is the discharging efficiency of the energy storage device, is the energy of energy storage for providing inertia, is the lowest energy level of energy storage.

[0042] ④ Inertia model of energy storage.

[0043] The inertia constraints of energy storage include:

[0044] Inertia power constraint of energy storage:

[0045] This constraint represents the power that the energy storage inertia should provide to ensure frequency safety, where is the inertia coefficient of energy storage, f0 is the standard frequency of the system, ROCOF max is the maximum frequency change rate of the system.

[0046] Inertia energy constraint of energy storage:

[0047] This constraint represents the amount of energy that the energy storage inertia should provide to ensure frequency security. Among them, Δf max is the maximum frequency deviation of the system.

[0048] Energy storage inertia coefficient constraint:

[0049] This constraint represents the adjustable range of the energy storage inertia. Among them, is the maximum adjustable inertia coefficient of the energy storage.

[0050] Furthermore, the modeling combining new energy consumption and system frequency security includes an energy storage-assisted new energy consumption model, a system total frequency regulation reserve and inertia summation model, and a system frequency security model.

[0051] It should be noted that the establishment of the system's inertia response and frequency regulation model and the new energy consumption model, including the energy storage-assisted new energy consumption model, the system total frequency regulation reserve and inertia summation model, and the system frequency security model, are reflected as constraint conditions in the optimization model.

[0052] ① Energy storage-assisted new energy consumption model.

[0053] In this example, the energy storage-assisted new energy consumption model includes:

[0054] New energy consumption output balance constraint:

[0055] This constraint represents the power balance of the energy storage assisting the new energy for consumption. Among them, and are the predicted new energy output, the new energy grid-connected electricity, and the curtailed new energy power generation respectively.

[0056] ② System total frequency regulation reserve and inertia summation model.

[0057] The total frequency regulation reserve and inertia summation model includes:

[0058] Total primary frequency regulation reserve constraint of thermal power units:

[0059] Among them, is the total frequency regulation capacity of the thermal power units.

[0060] Total primary frequency regulation reserve constraint of energy storage:

[0061] Among them, is the total frequency regulation capacity of the energy storage.

[0062] Total inertia constraint of thermal power units:

[0063] Among them, is the total inertia level of the thermal power unit.

[0064] Total inertia constraint of energy storage:

[0065] Among them, is the total inertia level of the energy storage.

[0066] ③ System frequency security model.

[0067] The system frequency security model includes:

[0068] Maximum frequency change rate constraint:

[0069] This constraint represents the security constraint on the frequency change rate at the beginning of the frequency drop. Among them, represents the load power deficit under the system fluctuation.

[0070] Maximum quasi-steady state frequency deviation constraint:

[0071] This constraint represents the security constraint on the frequency deviation after the primary frequency regulation enters the quasi-steady state. Among them,

[0072] represents the maximum quasi-steady state frequency deviation of the system, f D represents the system damping coefficient, represents the total system load.

[0073] Frequency lowest point constraint:

[0074] This constraint represents the security constraint on the frequency dropping to the lowest point. Among them, T e represents the energy storage frequency modulation time constant, T g represents the thermal power unit frequency modulation time constant.

[0075] S2: Introduce the mechanisms of primary frequency regulation and inertia service provided by thermal power units and energy storage and the new energy consumption model into the scheduling model to form a power system scheduling model in which energy storage assists new energy in providing primary frequency regulation and inertia service.

[0076] Furthermore, the optimized scheduling model is a convex optimization model, and the objective function is to minimize the sum of the overall electrical energy cost and auxiliary service cost of the power system.

[0077] It should be noted that the objective function of the power system scheduling model in which energy storage assists new energy in providing primary frequency regulation and inertia service is to minimize the sum of the electrical energy and auxiliary service declaration costs of each device:

[0078] min.(C e +Cs )

[0079]

[0080] Among them, C e is the total cost of electrical energy, including the electrical energy costs of thermal power units, new energy, and energy storage. C s is the total cost of frequency regulation service declarations, including the declaration costs of primary frequency regulation and inertia provided by thermal power units and energy storage; Ω G , Ω w and Ω S are the sets of thermal power units, new energy, and energy storage respectively; are respectively the output unit price of thermal power units, the declaration unit price of primary frequency regulation service, and the declaration unit price of inertia service; c w 、c s 、 are respectively the output unit price of new energy, the charging and discharging operation unit price of energy storage, the declaration unit price of fast frequency regulation of energy storage, and the declaration unit price of inertia of energy storage.

[0081] The constraint conditions of the power system dispatching model for energy storage to assist new energy in providing primary frequency regulation and inertia services include the above model of S1, and it is necessary to supplement the models of energy storage operation, thermal power unit operation, and grid operation. Among them, the supplementary models can form a dispatching model without limiting the specific models.

[0082] S3: Solve the optimal dispatching model, derive the costs of various auxiliary services based on the duality theory, and calculate the costs of energy storage providing primary frequency regulation and inertia services through the dual multipliers obtained by solving the dispatching model.

[0083] Furthermore, solving the optimal dispatching model includes using the Lagrangian duality theory to obtain dual multipliers during the process of solving the optimal model, and the dual multipliers are expressed in the form of the Lagrangian function.

[0084] It should be noted that by solving the power system dispatching model for energy storage to assist new energy in providing primary frequency regulation and inertia services, the dual multipliers of the constraints in the model can be obtained. Among them, the dual multipliers related to the constraints of primary frequency regulation and inertia services can be expressed in the following Lagrangian function:

[0085]

[0086] Among them, f L represents the Lagrangian function, f t represents the objective function, ω ro is the dual multiplier of the constraint of the maximum system frequency change rate; ω ssis the dual multiplier for the maximum quasi-steady state frequency deviation constraint of the system; μ, λ1, and λ2 are the dual multipliers corresponding to the original quadratic terms of the system frequency minimum point constraint respectively; are the dual multipliers for the total inertia constraint and the total primary frequency regulation constraint of the energy storage respectively, and … represents other constraint terms.

[0087] Furthermore, calculating the cost of the energy storage providing primary frequency regulation and inertia services includes deriving the formula for the marginal cost of virtual inertia and fast frequency regulation services using the dual theory, and calculating the cost of the energy storage providing primary frequency regulation and inertia services through the dual multipliers.

[0088] It should be noted that specifically, the dual theory is used to calculate the cost of the energy storage assisting new energy in providing primary frequency regulation and inertia services.

[0089] Specifically, the steps for calculating the cost of the energy storage providing virtual inertia services are as follows:

[0090] Step (1): According to the stationarity requirement of the KKT conditions, the gradient of the Lagrangian function at the optimal solution is 0, so its partial derivative with respect to the virtual inertia is also 0:

[0091]

[0092] where, is the partial derivative of the objective function with respect to the virtual inertia and can be expressed as the marginal cost of the energy storage providing virtual inertia, and C dual is the constraint term containing the dual multiplier in the Lagrangian function.

[0093] Step (2): Substitute the Lagrangian function in step S400 and calculate the marginal cost of the virtual inertia :

[0094]

[0095] Specifically, the steps for calculating the cost of the energy storage providing fast frequency regulation services are as follows:

[0096] Step (1): According to the stationarity requirement of the KKT conditions, the gradient of the Lagrangian function at the optimal solution is 0, so its partial derivative with respect to the fast frequency regulation is also 0:

[0097]

[0098] where, is the partial derivative of the objective function with respect to the fast frequency regulation and can be expressed as the marginal cost of the energy storage providing fast frequency regulation.

[0099] Step (2): Substitute into the Lagrangian function in Step S400 and calculate the marginal cost of fast frequency modulation :

[0100]

[0101] Embodiment 2 is the second embodiment of the present invention. What is different from the previous two embodiments is that:

[0102] If the described function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0103] The logic and / or steps represented in the flowchart or described in other ways herein, for example, can be considered as a defined sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in combination with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device.

[0104] More specific examples (nonexhaustive list) of computer-readable media include the following: an electrical connection part with one or more wirings (electronic device), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or processing it in other suitable ways as necessary, and then storing it in a computer memory.

[0105] It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logic functions on data signals, application specific integrated circuits with suitable combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0106] Embodiment 3 is the third embodiment of the present invention. This embodiment provides a system for calculating the cost of energy storage assisting new energy to provide primary frequency regulation and inertia services, including a model construction module, a system scheduling module, and a solution processing module; the model construction module is used to construct a model including establishing thermal power units, energy storage providing primary frequency regulation, and inertia service models based on inertia response and system frequency regulation processes, and combining new energy consumption and system frequency safety modeling; the system scheduling module is used to introduce the mechanisms of thermal power units, energy storage providing primary frequency regulation and inertia services, and a new energy consumption model into the scheduling model to form a power system scheduling model for energy storage assisting new energy to provide primary frequency regulation and inertia services; the solution processing module is used to solve the optimal scheduling model, derive the costs of various auxiliary services based on the duality theory, and calculate the costs of energy storage providing primary frequency regulation and inertia services through the dual multipliers obtained by solving the scheduling model.

[0107] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for calculating the cost of energy storage assisting new energy to provide primary frequency regulation and inertia services, characterized in that, Including: Based on the inertia response and the system frequency regulation process, construct models including establishing thermal power units, energy storage providing primary frequency regulation and inertia service models, and combine new energy consumption and system frequency security modeling; Introduce the mechanisms of thermal power units and energy storage providing primary frequency regulation and inertia service, and the new energy consumption model into the scheduling model to form a power system scheduling model for energy storage to assist new energy in providing primary frequency regulation and inertia service; Solve the optimal scheduling model, deduce the costs of various ancillary services based on the duality theory, and calculate the costs of energy storage providing primary frequency regulation and inertia service through the dual multipliers obtained by solving the scheduling model.

2. The method for calculating the cost of the primary frequency regulation and inertia service provided by the energy storage assisting the new energy according to claim 1, wherein: The model construction based on the inertia response and the system frequency regulation process, including establishing thermal power units, energy storage providing primary frequency regulation and inertia service models, includes the frequency regulation reserve model of thermal power units, the inertia model of thermal power units, the frequency regulation reserve model of energy storage, and the inertia model of energy storage.

3. The method for calculating the cost of primary frequency regulation and inertia service provided by energy storage assisting new energy according to claim 2, wherein: The combination of new energy consumption and system frequency security modeling includes the energy storage assisted new energy consumption model, the total system frequency regulation reserve and inertia summation model, and the system frequency security model.

4. The method for calculating the cost of the energy storage-assisted new energy to provide primary frequency regulation and inertia services according to claim 4, characterized in that: The power system scheduling model for energy storage to assist new energy in providing primary frequency regulation and inertia service is a convex optimization model, and the objective function is to minimize the sum of the overall electrical energy cost and the ancillary service cost of the power system.

5. The method for calculating the cost of primary frequency regulation and inertia service provided by energy storage assisting new energy according to claim 4, wherein: The solution of the optimal scheduling model includes using the Lagrangian duality theory to obtain the dual multipliers during the process of solving the optimal model, and the dual multipliers are expressed in the form of the Lagrangian function.

6. The method for calculating the cost of primary frequency regulation and inertia service provided by energy storage assisting new energy according to claim 5, wherein: The calculation of the costs of energy storage providing primary frequency regulation and inertia service includes deriving the formulas for the marginal costs of virtual inertia and fast frequency regulation services using the duality theory, and calculating the costs of energy storage providing primary frequency regulation and inertia service through the dual multipliers.

7. A system using the method for calculating the cost of providing primary frequency regulation and inertia service by energy storage assisting new energy as described in any one of claims 1 to 6, characterized in that: Including a model construction module, a system scheduling module, and a solution processing module; The model construction module is used to construct models including establishing thermal power units, energy storage providing primary frequency regulation and inertia service models based on the inertia response and the system frequency regulation process, and combine new energy consumption and system frequency security modeling; The system scheduling module is used to introduce the mechanisms of thermal power units and energy storage providing primary frequency regulation and inertia service, and the new energy consumption model into the scheduling model to form a power system scheduling model for energy storage to assist new energy in providing primary frequency regulation and inertia service; The solution processing module is used to solve the optimal scheduling model, deduce the costs of various ancillary services based on the duality theory, and calculate the costs of energy storage providing primary frequency regulation and inertia service through the dual multipliers obtained by solving the scheduling model.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method for calculating the costs of energy storage assisting new energy in providing primary frequency regulation and inertia service according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for calculating the costs of energy storage assisting new energy in providing primary frequency regulation and inertia service according to any one of claims 1 to 6.

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