Large-scale energy storage participated power system scheduling method, device, equipment and medium

Abstract

The invention provides a large-scale energy storage participated power system scheduling method, device and equipment and a medium. The method comprises the following steps: acquiring basic data of a target power system; calculating an energy storage power calling demand and an energy storage capacity calling demand of the target power system according to the basic data; constructing a target scheduling model; under a preset constraint condition, solving the model to obtain energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period; and the target power system is dispatched. According to the energy storage power calling demand and the energy storage capacity calling demand, the scheduling model of the target power system is constructed, the energy storage standby power, the frequency modulation power and the energy market charging and discharging power are obtained through solving, the energy storage standby power, the frequency modulation power and the energy market charging and discharging power can be flexibly adjusted, and the energy market charging and discharging efficiency is improved. Refined scheduling of the power system is realized, and the power demand of a user is met.

Description

Technical Field

[0001] The present invention relates to the field of electric power dispatching, and in particular to a method, device, equipment and medium for dispatching an electric power system involving large-scale energy storage. Background Art

[0002] With the development of economy and technology, the demand for electricity and the actual electricity consumption of residents are gradually increasing. When the amount of load or the type of load connected to the low-voltage side of the distribution network transformer increases, if the maximum load of the peak power consumption exceeds the distribution transformer capacity, the electricity demand on the user side cannot be guaranteed.

[0003] The electricity demand in some areas has time characteristics, that is, it includes peak and valley periods. In addition, the load curve has obvious peak and valley characteristics in the time period. If the distribution equipment is expanded only because of a small amount of overload, the utilization rate of the distribution equipment will be relatively low in most cases; if the distribution equipment is not configured sufficiently, it will not be able to meet the electricity demand, and it will affect the safety and stability of the power system and cause risks to the operation of the power system. Therefore, there is an urgent need for a power system dispatching method that can flexibly meet the electricity demand and match the load. Summary of the invention

[0004] The present invention application provides a method, device, equipment and medium for dispatching a power system involving large-scale energy storage, which can flexibly meet the electricity demand of users and improve the safety and stability of the power system.

[0005] In order to solve the above technical problems, the present invention provides a method for dispatching a power system with large-scale energy storage, comprising:

[0006] Obtain basic data of the target power system;

[0007] Calculating the energy storage power call demand of the target power system according to the basic data; Calculating the energy storage capacity call demand of the target power system according to the basic data;

[0008] Constructing a target dispatch model of the target power system according to the energy storage power call demand and the energy storage capacity call demand;

[0009] Under preset constraints, the target scheduling model is solved to obtain the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period; and the target power system is scheduled according to the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period.

[0010] As a preferred solution, the target power system includes a transformer; the basic data includes the load on the low-voltage side of the distribution transformer, the limit power capacity and the capacity limit ratio of the transformer;

[0011] The energy storage capacity call demand of the target power system is calculated according to the basic data, specifically:

[0012]

[0013] Among them, S max is the transformer limit power capacity, is the load on the low-voltage side of the distribution transformer in period t, ΔS t represents the difference between the load and the transformer capacity in the tth period, γ res is the power supply security factor, It represents the demand for energy storage capacity of the target power system in the tth period, and ε is the transformer capacity limit ratio.

[0014] As a preferred solution, the basic data also includes a response dynamic frequency modulation signal of the energy storage system; and the calculation of the energy storage power call demand of the target power system according to the basic data includes:

[0015]

[0016] in, represents the demand for energy storage power by the target power system in period t, γ reg is the frequency regulation demand coefficient, λ is the threshold for participating in frequency regulation service, is the frequency modulation mileage in the tth period, RegD κ It represents the response dynamic frequency modulation signal of the energy storage system in the κth frequency modulation signal cycle.

[0017] As a preferred solution, the response dynamic frequency modulation signal is specifically:

[0018]

[0019]

[0020] in, Indicates the charging power required for the energy storage according to the instruction in the κth frequency modulation signal cycle of the time period t, It represents the power that needs to be discharged according to the instruction energy storage in the κth frequency modulation signal cycle in the t period, is the zero-one variable of the discharge constraint, is the zero-one variable of the charging constraint, P t reg is the FM power in the tth period.

[0021] As a preferred solution, the target dispatching model of the target power system is constructed according to the energy storage power call demand and the energy storage capacity call demand, specifically:

[0022]

[0023] Wherein, max F is the objective function of the target scheduling model, Cost is the economic coefficient of system charging and discharging in the t period. e is the net cost of the system participating in the energy market, T is the number of hours in a day, and P t res The backup power required by the energy storage in period t.

[0024] As a preferred solution, the cost of the system participating in the energy market is specifically:

[0025]

[0026] Among them, LMP t is the time-of-use electricity price for each period, Δt is the time length, P t e,ch is the charging power of the energy market in period t, P t e,d is the discharge power of the energy market in period t.

[0027] As a preferred solution, the preset constraints include energy storage constraints, energy constraints and reserved energy storage power constraints.

[0028] Correspondingly, the present invention also provides a power system dispatching device involving large-scale energy storage, including a data acquisition module, a calculation module, a construction module and a dispatching module; wherein,

[0029] The data acquisition module is used to acquire basic data of the target power system;

[0030] The calculation module is used to calculate the energy storage power call demand of the target power system according to the basic data; calculate the energy storage capacity call demand of the target power system according to the basic data;

[0031] The construction module is used to construct a target dispatching model of the target power system according to the energy storage power call demand and the energy storage capacity call demand;

[0032] The scheduling module is used to solve the target scheduling model under preset constraints to obtain the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period; and to schedule the target power system according to the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period.

[0033] As a preferred solution, the target power system includes a transformer; the basic data includes the load on the low-voltage side of the distribution transformer, the limit power capacity and the capacity limit ratio of the transformer;

[0034] The calculation module calculates the energy storage capacity call demand of the target power system according to the basic data, specifically:

[0035]

[0036] Among them, S max is the transformer limit power capacity, is the load on the low-voltage side of the distribution transformer in period t, ΔS t represents the difference between the load and the transformer capacity in the tth period, γ res is the power supply security factor, It represents the demand for energy storage capacity of the target power system in the tth period, and ε is the transformer capacity limit ratio.

[0037] As a preferred solution, the basic data also includes a response dynamic frequency modulation signal of the energy storage system; the calculation module calculates the energy storage power call demand of the target power system according to the basic data, including:

[0038]

[0039] in, represents the demand for energy storage power by the target power system in the tth period, γ reg is the frequency regulation demand coefficient, λ is the threshold for participating in frequency regulation service, is the frequency modulation mileage in the tth period, RegD κ It represents the response dynamic frequency modulation signal of the energy storage system in the κth frequency modulation signal cycle.

[0040] As a preferred solution, the response dynamic frequency modulation signal is specifically:

[0041]

[0042]

[0043] in, Indicates the charging power required for the energy storage according to the instruction in the κth frequency modulation signal cycle of the time period t, It represents the power that needs to be discharged according to the instruction energy storage in the κth frequency modulation signal cycle in the t period, is the zero-one variable of the discharge constraint, is the zero-one variable of the charging constraint, P t reg is the FM power in the tth period.

[0044] As a preferred solution, the construction module constructs a target dispatching model of the target power system according to the energy storage power call demand and the energy storage capacity call demand, specifically:

[0045]

[0046] Wherein, max F is the objective function of the target scheduling model, Cost is the economic coefficient of system charging and discharging in the t period. e is the net cost of the system participating in the energy market, T is the number of hours in a day, and P t res The backup power required by the energy storage in period t.

[0047] As a preferred solution, the cost of the system participating in the energy market is specifically:

[0048]

[0049] Among them, LMP t is the time-of-use electricity price for each period, Δt is the time length, P t e,ch is the charging power of the energy market in period t, P t e,d is the discharge power of the energy market in period t.

[0050] As a preferred solution, the preset constraints include energy storage power constraints, energy constraints and reserved energy storage power constraints.

[0051] Correspondingly, the present invention application also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the power system dispatching method involving large-scale energy storage is implemented.

[0052] Correspondingly, the present invention application also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the power system dispatching method involving large-scale energy storage.

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] The present invention application provides a method, device, equipment and medium for dispatching a power system involving large-scale energy storage, the dispatching method comprising: obtaining basic data of a target power system; calculating the energy storage power call demand of the target power system based on the basic data; calculating the energy storage capacity call demand of the target power system based on the basic data; constructing a target dispatching model of the target power system based on the energy storage power call demand and the energy storage capacity call demand; solving the target dispatching model under preset constraints to obtain the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in a target time period; and dispatching the target power system based on the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period. The present invention applies to construct a dispatching model of the target power system according to the energy power call demand and the energy storage capacity call demand, and solves the energy storage standby power, frequency modulation power and energy market charging and discharging power. The energy storage standby power, frequency modulation power and energy market charging and discharging power can be flexibly adjusted to achieve refined dispatching of the power system, meet the electricity demand of users, effectively improve the safety and stability of the power system, and avoid the problem of low utilization of distribution equipment and energy storage systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 : A flow chart of an embodiment of a method for dispatching a power system involving large-scale energy storage provided by the present invention.

[0056] Figure 2 : A structural schematic diagram of an embodiment of a power system dispatching device involving large-scale energy storage provided by the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] Embodiment 1

[0059] Please refer to Figure 1 , Figure 1 The present invention provides a method for dispatching a power system with large-scale energy storage, comprising steps S1 to S4; wherein:

[0060] Step S1, obtaining basic data of the target power system.

[0061] In this embodiment, the target power system includes a transformer and an energy storage system, wherein the energy storage system is installed on the low-voltage side of the transformer. The energy storage system interacts with the energy market, using energy storage to provide frequency regulation auxiliary services and guarantee electricity demand at different time periods, and energy storage to flexibly participate in the energy market, so that the target power system can meet the demand during peak load periods. In this way, for the target power system, there is no need to expand the distribution equipment or delay the expansion of the distribution equipment. At the same time, the idleness of the distribution equipment can be avoided during the off-peak period, which effectively reduces the economic cost and improves the utilization rate of the distribution equipment.

[0062] In addition, because the load curve of the target power system has obvious peak and valley characteristics in the time period, energy storage in areas with backward distribution and transformation equipment can ensure that the electricity demand has time characteristics, and energy storage needs to be called upon to provide energy support only during peak electricity consumption periods. At this time, if only one service is provided, the energy storage utilization rate is extremely low, which is easy to cause waste of resources. Therefore, this application considers that on the basis of meeting the energy storage to ensure electricity demand, through a similar time-sharing multiplexing form, that is, step S4 calculates the energy storage standby power, frequency modulation power and energy market charging and discharging power at different times, energy storage guarantees electricity demand and provides frequency modulation auxiliary services in different time periods, and controls the energy storage of the target power system to participate in the energy market, giving full play to the value of energy storage resources and improving the safety and stability of the power system.

[0063] The basic data includes the load on the low-voltage side of the distribution transformer, the limit power capacity and the capacity limit ratio of the transformer. The load on the low-voltage side of the distribution transformer, the limit power capacity and the capacity limit ratio of the transformer are used to calculate the energy storage capacity call demand in step S2.

[0064] In addition, the basic data also includes a response dynamic frequency modulation signal of the energy storage system, and the response dynamic frequency modulation signal is used to calculate the energy storage power call demand of the target power system in step S3.

[0065] Step S2: Calculate the energy storage power call demand of the target power system according to the basic data; Calculate the energy storage capacity call demand of the target power system according to the basic data.

[0066] In this step, the energy storage capacity call demand of the target power system is calculated according to the basic data, specifically:

[0067]

[0068] Among them, S max is the transformer limit power capacity, is the load on the low-voltage side of the distribution transformer in period t, ΔS t represents the difference between the load and the transformer capacity in the tth period, γ res is the power supply security factor, It represents the demand for energy storage capacity of the target power system in the tth period, and ε is the transformer capacity limit ratio.

[0069] When ΔS t When it is less than the limit value, energy storage needs to be called upon. Indicates that the target power system has a high demand for energy storage (reserve) power in period t (i.e., a high demand for capacity). It indicates that the target power system has low demand for energy storage (backup) power (i.e., low demand for capacity).

[0070] When the maximum load on the low-voltage side of the distribution transformer approaches the maximum power capacity that the transformer can bear, the transformer can bear part of the load by calling on energy storage to provide backup support. Energy storage on the low-voltage side of the distribution transformer can adopt the "peak shaving and valley filling" method, charging energy storage in the valley section of the load curve and discharging in the peak section, which reduces the peak value of the equivalent load curve after superimposing the original load curve to a certain extent. This ensures the safety of load power demand, thereby delaying the expansion of distribution equipment and reducing the cost of grid construction. Each time the energy storage provides backup power, it lasts for at least one hour, P t res It can be understood as the backup power that the energy storage needs to provide per hour, in MW. The power supply security factor described in this embodiment is an adjustable parameter, which represents the system's need to call energy storage to ensure peak power supply and relieve transformer pressure.

[0071] Furthermore, assuming that energy storage needs to ensure power supply security in period t, sufficient power needs to be reserved at this time, that is, the power supply security constraint:

[0072] E t ≥P t res Δt / η;

[0073] Among them, E t is the energy storage energy at the initial moment of period t, P t res is the power required to ensure power supply safety in the t period, η is the battery energy storage charging and discharging efficiency, and Δt is the time length, for example, the time length can be one hour.

[0074] In new power systems where the proportion of new energy sources is gradually increasing, new energy sources such as wind power and photovoltaic power generation have the characteristics of randomness and volatility, which poses a certain threat to the frequency stability of the system. And with the retirement of synchronous units such as thermal power, the system's adjustable frequency regulation resources are in short supply, and the frequency safety problem of new power systems is becoming more and more serious. Energy storage has the characteristics of fast response to instructions and large instantaneous charging and discharging power, and is a high-quality flexible frequency regulation resource. In some preferred embodiments, the energy storage power call demand of the target power system is calculated based on the basic data, including:

[0075]

[0076]

[0077] in, represents the demand for energy storage power by the target power system in the tth period, γ reg is the frequency regulation demand coefficient, λ is the threshold for participating in frequency regulation service, is the frequency modulation mileage in the tth period, RegD κ The dynamic regulation signal (RegD) represents the response of the energy storage system in the κth frequency regulation signal cycle (in the tth period). It represents the ratio of the energy storage capacity to the declared frequency regulation capacity in a frequency regulation signal cycle. The frequency regulation signal cycle Δt teg The value is 2 seconds, and the frequency modulation capacity during the reporting period is P t reg ), the frequency modulation mileage is the cumulative value of the absolute value of the response dynamic frequency modulation signal, and K is the number of the response dynamic frequency modulation signal in the scheduling period t.

[0078] when When it exceeds λ, it indicates that the system has a high demand for frequency regulation auxiliary services, and The larger the value, the higher the frequency modulation requirement; on the contrary, The smaller the frequency, the lower the demand for frequency regulation auxiliary services. The frequency of frequency regulation instructions within the frequency regulation interval and the depth of each frequency regulation instruction can reflect the severity of the frequency safety and stability problem of the target power system during this period and the demand for energy storage frequency regulation services of the target power system. In this embodiment, the time scale for energy storage to participate in the frequency regulation service market bidding is one hour, P t reg It can be understood as the maximum power of energy storage in frequency regulation service per hour, measured in MW.

[0079] Furthermore, the response dynamic frequency modulation signal is specifically:

[0080]

[0081] in, Indicates the charging power required for the energy storage according to the instruction in the κth frequency modulation signal cycle of the time period t, It represents the power that needs to be discharged according to the instruction energy storage in the κth frequency modulation signal cycle in the t period, is the zero-one variable of the discharge constraint, is the zero-one variable of the charging constraint, P t reg is the FM power in the tth period.

[0082] Step S3: constructing a target dispatching model of the target power system according to the energy storage power calling demand and the energy storage capacity calling demand.

[0083] In this step, the target dispatch model of the target power system is constructed by constructing an objective function of the model. Exemplarily, the objective function of the target dispatch model is:

[0084]

[0085] Wherein, max F is the objective function of the target scheduling model, Cost is the economic coefficient of system charging and discharging in the t period. e is the net cost of the system participating in the energy market, T is the number of time periods in a day, and T=24 is exemplified.

[0086] The cost of the system participating in the energy market is specifically:

[0087]

[0088] Among them, LMP t is the time-of-use electricity price per period, Δt is the time length (for example, Δt can be one hour), P t e,ch is the charging power of the energy market in period t, P t e,d is the discharge power of the energy market in period t.

[0089] When the system's demand for safe and stable frequency regulation power and backup power is low, energy storage can participate in the spot energy market to "cut peaks and fill valleys" to improve energy storage utilization. The charging power required to provide frequency regulation and backup auxiliary services is provided by the charging power in the energy market where energy storage participates. The economic efficiency of energy storage electricity costs must be considered, and the time scale for energy storage to participate in the energy market can be one hour.

[0090] In areas where the capacity of distribution transformers is insufficient, on the basis of the energy storage system providing power supply security during load peak hours, the target power system participates in the ancillary service market and energy market, which can improve the system frequency security, stability and energy storage utilization. The above objective function is a multi-objective optimization that comprehensively considers the safety support role, utilization and operation economy of energy storage.

[0091] Step S4, under preset constraints, solving the target scheduling model to obtain the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period; and scheduling the target power system according to the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period.

[0092] In this embodiment, the preset constraint conditions include, in addition to the above-mentioned power supply security constraint (actually the reserved energy storage power constraint), a preset energy storage power constraint and a preset energy constraint.

[0093] Exemplarily, the energy storage power constraint includes the maximum charging and discharging power constraint of the target power system in each time period and the constraint that the energy market cannot charge and discharge simultaneously, specifically:

[0094]

[0095] Among them, P max is the maximum charge and discharge power of energy storage, α ch,t 0-1 variable representing the charging state of energy storage in the energy market at the tth period, α d,t is a 0-1 variable representing the discharge status of energy storage in the energy market in the tth period.

[0096] Furthermore, the energy constraint is specifically:

[0097]

[0098] E t+1 =E t +ΔE t ;

[0099] E min ≤E t ≤E max ;

[0100] E1=E T+1 ;

[0101]

[0102] The above energy constraints include the calculation formula for energy change, the upper and lower limits of energy storage for safe operation, the constraint that the energy storage power state at the beginning and end of the day is the same, and considering the power loss, the energy storage equipment needs to reserve enough power to participate in the energy market in each time period and provide frequency regulation services and power supply security services.

[0103] In the formula, ΔE t represents the energy change of energy storage in time period t, η is the charging and discharging efficiency of energy storage, The energy storage in the tth period follows the charge and discharge energy changes generated by the frequency modulation instruction, θ t is the cumulative effect value of the FM signal in the tth period, Δt reg is the frequency modulation signal period, which is 2s, E t represents the initial capacity of the energy storage at time t, E min is the minimum value of energy storage operation power, E max is the rated capacity, is the charging effect of energy storage in the kth FM signal cycle in the FM signal period t, It is the discharge effect of the stored energy in the kth FM signal cycle in the FM signal time period t.

[0104] Furthermore, under the preset constraints, the target scheduling model is solved. The target scheduling model is a mixed integer linear programming (MILP) model. Therefore, the commercial optimization solver Gurobi can be called to solve it, and the energy storage standby power, frequency regulation power and energy market charging and discharging power at each moment in the target time period are obtained. Compared with the existing technology, in a similar time-sharing multiplexing form, frequency regulation auxiliary services and participation in the energy market are provided in different time periods, and the ratios of energy storage standby power, frequency regulation power and energy market charging and discharging power at different moments are determined. There is no need to additionally expand the distribution equipment of the target power system, which can give full play to the value of energy storage resources while flexibly meeting the electricity needs of users, thereby improving the safety and stability of power system operation.

[0105] Accordingly, refer to Figure 2 The embodiment of the present invention also provides a power system dispatching device involving large-scale energy storage, including a data acquisition module 101, a calculation module 102, a construction module 103 and a dispatching module 104; wherein,

[0106] The data acquisition module 101 is used to acquire basic data of the target power system;

[0107] The calculation module 102 is used to calculate the energy storage power call demand of the target power system according to the basic data; calculate the energy storage capacity call demand of the target power system according to the basic data;

[0108] The construction module 103 is used to construct a target dispatching model of the target power system according to the energy storage power call demand and the energy storage capacity call demand;

[0109] The scheduling module 104 is used to solve the target scheduling model under preset constraints to obtain the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period; and to schedule the target power system according to the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period.

[0110] As a preferred solution, the target power system includes a transformer; the basic data includes the load on the low-voltage side of the distribution transformer, the limit power capacity and the capacity limit ratio of the transformer;

[0111] The calculation module 102 calculates the energy storage capacity call demand of the target power system according to the basic data, specifically:

[0112]

[0113] Among them, S max is the transformer limit power capacity, is the load on the low-voltage side of the distribution transformer in period t, ΔS t represents the difference between the load and the transformer capacity in the tth period, γ res is the power supply security factor, It represents the demand for energy storage capacity of the target power system in the tth period, and ε is the transformer capacity limit ratio.

[0114] As a preferred solution, the basic data also includes a response dynamic frequency modulation signal of the energy storage system; the calculation module 102 calculates the energy storage power call demand of the target power system according to the basic data, including:

[0115]

[0116] in, represents the demand for energy storage power by the target power system in the tth period, γ reg is the frequency regulation demand coefficient, λ is the threshold for participating in frequency regulation service, is the frequency modulation mileage in the tth period, RegD κ It represents the response dynamic frequency modulation signal of the energy storage system in the κth frequency modulation signal cycle.

[0117] As a preferred solution, the response dynamic frequency modulation signal is specifically:

[0118]

[0119] in, Indicates the charging power required for the energy storage according to the instruction in the κth frequency modulation signal cycle of the time period t, It represents the power that needs to be discharged according to the instruction energy storage in the κth frequency modulation signal cycle in the t period, is the zero-one variable of the discharge constraint, is the zero-one variable of the charging constraint, P t reg is the FM power in the tth period.

[0120] As a preferred solution, the construction module 103 constructs a target dispatching model of the target power system according to the energy storage power call demand and the energy storage capacity call demand, specifically:

[0121]

[0122] Wherein, max F is the objective function of the target scheduling model, Cost is the economic coefficient of system charging and discharging in the t period. e is the net cost of the system participating in the energy market, T is the number of hours in a day, and P t res The backup power required by the energy storage in period t.

[0123] As a preferred solution, the net income of the system participating in the energy market is specifically:

[0124]

[0125] Among them, LMP t is the time-of-use electricity price for each period, Δt is the time length, P t e,ch is the charging power of the energy market in period t, P t e,d is the discharge power of the energy market in period t.

[0126] As a preferred solution, the preset constraints include energy storage power constraints, energy constraints and reserved energy storage power constraints.

[0127] Correspondingly, an embodiment of the present invention also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the power system dispatching method involving large-scale energy storage is implemented.

[0128] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal, and various interfaces and lines are used to connect various parts of the entire terminal.

[0129] The memory can be used to store the computer program, and the processor realizes various functions of the terminal by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0130] Correspondingly, an embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the power system dispatching method involving large-scale energy storage.

[0131] Wherein, if the module of the power system dispatching device / terminal integration in which the large-scale energy storage participates 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 present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0132] Compared with the prior art, the present invention has the following beneficial effects:

[0133] The embodiments of the present invention provide a method, device, equipment and medium for dispatching a power system involving large-scale energy storage. The dispatching method comprises: obtaining basic data of a target power system; calculating the energy storage power call demand of the target power system according to the basic data; calculating the energy storage capacity call demand of the target power system according to the basic data; constructing a target dispatching model of the target power system according to the energy storage power call demand and the energy storage capacity call demand; solving the target dispatching model under preset constraints to obtain the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period; and dispatching the target power system according to the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period. The present invention applies to construct a power system dispatching model involving target-scale energy storage according to the energy power call demand and the energy storage capacity call demand, and solves the energy storage standby power, frequency modulation power and energy market charging and discharging power. The energy storage standby power, frequency modulation power and energy market charging and discharging power can be flexibly adjusted to achieve refined dispatching of the power system, meet the electricity demand of users, effectively improve the safety and stability of the power system, and avoid the problem of low utilization of distribution equipment and energy storage systems.

[0134] The specific embodiments described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for dispatching a power system with large-scale energy storage, characterized in that: include: Obtain basic data of the target power system; Calculating the energy storage power call demand of the target power system based on the basic data; Calculating the energy storage capacity call demand of the target power system according to the basic data; Constructing a target dispatch model of the target power system according to the energy storage power call demand and the energy storage capacity call demand; Under preset constraints, the target scheduling model is solved to obtain the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period; and the target power system is scheduled according to the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period.

2. A method for dispatching a power system involving large-scale energy storage as claimed in claim 1, characterized in that: The target power system includes a transformer; the basic data includes the load on the low-voltage side of the distribution transformer, the limit power capacity and the capacity limit ratio of the transformer; The energy storage capacity call demand of the target power system is calculated according to the basic data, specifically: Among them, S max is the transformer limit power capacity, is the load on the low-voltage side of the distribution transformer in period t, ΔS t represents the difference between the load and the transformer capacity in the tth period, γ res is the power supply safety factor, It represents the demand for energy storage capacity of the target power system in the tth period, and ε is the transformer capacity limit ratio.

3. A method for dispatching a power system involving large-scale energy storage as claimed in claim 2, characterized in that: The basic data also includes a response dynamic frequency modulation signal of the energy storage system; The step of calculating the energy storage power call demand of the target power system according to the basic data includes: in, represents the demand for energy storage power by the target power system in period t, γ reg is the frequency regulation demand coefficient, λ is the threshold for participating in frequency regulation service, is the frequency modulation mileage in the tth period, RegD κ It represents the response dynamic frequency modulation signal of the energy storage system in the κth frequency modulation signal cycle.

4. A method for dispatching a power system involving large-scale energy storage as claimed in claim 3, characterized in that: The response dynamic frequency modulation signal is specifically: in, Indicates the charging power required for the energy storage according to the instruction in the κth frequency modulation signal cycle of the time period t, It represents the power that needs to be discharged according to the instruction energy storage in the κth frequency modulation signal cycle in the t period, is the zero-one variable of the discharge constraint, is the zero-one variable of the charging constraint, P t reg is the FM power in the tth period.

5. A method for dispatching a power system involving large-scale energy storage as claimed in claim 4, characterized in that: The target dispatching model of the target power system is constructed according to the energy storage power calling demand and the energy storage capacity calling demand, specifically: Wherein, max F is the objective function of the target scheduling model, Cost is the economic coefficient of system charging and discharging in the t period. e is the net cost of the system participating in the energy market, T is the number of hours in a day, and P t res The backup power required by the energy storage in period t.

6. A method for dispatching a power system involving large-scale energy storage as claimed in claim 5, characterized in that: The cost of the system participating in the energy market is specifically: Among them, LMP t is the time-of-use electricity price for each period, Δt is the time length, P t e,ch is the charging power of the energy market in period t, P t e,d is the discharge power of the energy market in period t.

7. A method for dispatching a power system involving large-scale energy storage as claimed in claim 1, characterized in that: The preset constraints include energy storage power constraints, energy constraints and reserved energy storage power constraints.

8. A power system dispatching device involving large-scale energy storage, characterized in that: It includes data acquisition module, calculation module, construction module and scheduling module; among them, The data acquisition module is used to acquire basic data of the target power system; The calculation module is used to calculate the energy storage power call demand of the target power system according to the basic data; calculate the energy storage capacity call demand of the target power system according to the basic data; The construction module is used to construct a target dispatching model of the target power system according to the energy storage power call demand and the energy storage capacity call demand; The scheduling module is used to solve the target scheduling model under preset constraints to obtain the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period; and to schedule the target power system according to the energy storage standby power, frequency modulation power and energy market charging and discharging power at each moment in the target time period.

9. A terminal device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the power system dispatching method involving large-scale energy storage as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the power system dispatching method involving large-scale energy storage as described in any one of claims 1 to 7.

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