Energy storage system scheduling method and apparatus, electronic device, and storage medium

Abstract

An energy storage system scheduling method and apparatus, an electronic device, and a storage medium. The method comprises: inputting into a mixed-integer linear programming model a supply parameter of an energy system, a demand parameter of a frequency regulation ancillary service system, and a device parameter of an energy storage system (S101); by means of the mixed-integer linear programming model, solving a pre-established cumulative revenue objective function on the basis of a pre-set constraint condition, so as to obtain an optimal solution of decision variables for the participation of the energy storage system in the operation of the energy system and the frequency regulation ancillary service system (S102); and according to the optimal solution of the decision variables, scheduling a manner in which the energy storage system participates in the operation of the energy system and the frequency regulation ancillary service system (S103).

Description

Method and device for scheduling energy storage system, electronic device and storage medium

[0001] The present application claims priority to the Chinese patent application No. 202410862031.1, filed on June 28, 2024, the whole content of which is incorporated herein by reference. TECHNICAL FIELD

[0002] Embodiments of the present application relate to the technical field of electric power, for example, to a method and device for scheduling an energy storage system, an electronic device and a storage medium. BACKGROUND

[0003] With the increasing proportion of new energy power generation in the power grid year by year, the uncertainty of the power supply system increases, and the stability of the power grid faces greater challenges. The energy storage system, as a new subject of the electricity market, can participate in the operation of the power supply system. When the power supply system has sufficient power supply, the power supply system can charge the energy storage system; when the power supply system has insufficient power supply, the energy storage system can discharge the power supply system.

[0004] In addition, the energy storage system can also participate in the operation of the frequency regulation auxiliary service system. Specifically, the energy storage system participating in the reserve of the frequency regulation auxiliary service system mainly includes frequency control reserve, automatic frequency recovery reserve, manual frequency recovery reserve and alternative reserve. The frequency control reserve is automatically enabled after 30 seconds of frequency deviation event, the automatic frequency recovery reserve and the manual frequency recovery reserve are enabled in turn after 5 minutes and 12.5 minutes of the event, respectively, and the alternative reserve is enabled after 15 minutes of the event, which can last for 60 minutes or even several hours; among them, the frequency control reserve is the fastest starting frequency regulation mode, and its operation and modeling are also the most complex.

[0005] The function of the traditional frequency control reserve depends on its charging and discharging state. When the power supply system charges the energy storage system, the energy storage system provides downward frequency regulation to the power supply system, and when the energy storage system discharges the power supply system, the energy storage system provides upward frequency regulation to the power supply system, which is called "positive frequency regulation reserve". On the contrary, when the power supply system charges the energy storage system, the energy storage system provides upward frequency regulation to the power supply system, and when the energy storage system discharges the power supply system, the energy storage system provides downward frequency regulation to the power supply system, which is called "reverse frequency regulation reserve". SUMMARY

[0006] The present application provides a method and device for scheduling an energy storage system, an electronic device and a storage medium, which can maximize the demand of the power supply system and the frequency regulation auxiliary service system, and improve the ability of the energy storage system to participate in the operation of the power supply system and the frequency regulation auxiliary service system.

[0007] In a first aspect, an embodiment of the present application provides a scheduling method of an energy storage system, the method comprising:

[0008] inputting supply parameters of an electricity system and demand parameters of a frequency modulation auxiliary service system and device parameters of the energy storage system into a mixed integer linear programming model;

[0009] solving a pre-established cumulative benefit objective function based on pre-set constraint conditions through the mixed integer linear programming model to obtain an optimal solution of decision variables of the energy storage system participating in operation of the electricity system and the frequency modulation auxiliary service system;

[0010] scheduling a mode of the energy storage system participating in operation of the electricity system and the frequency modulation auxiliary service system according to the optimal solution of the decision variables.

[0011] In a second aspect, an embodiment of the present application further provides a scheduling device of an energy storage system, the device comprising: an input module, a calculation module and a scheduling module; wherein,

[0012] the input module is configured to input supply parameters of an electricity system and demand parameters of a frequency modulation auxiliary service system and device parameters of the energy storage system into a mixed integer linear programming model;

[0013] the calculation module is configured to solve a pre-established cumulative benefit objective function based on pre-set constraint conditions through the mixed integer linear programming model to obtain an optimal solution of decision variables of the energy storage system participating in operation of the electricity system and the frequency modulation auxiliary service system;

[0014] the scheduling module is configured to schedule a mode of the energy storage system participating in operation of the electricity system and the frequency modulation auxiliary service system according to the optimal solution of the decision variables.

[0015] In a third aspect, an embodiment of the present application provides an electronic device, comprising:

[0016] at least one processor;

[0017] a memory configured to store at least one program,

[0018] when the at least one program is executed by the at least one processor, the at least one processor implements the scheduling method of the energy storage system according to any embodiment of the present application.

[0019] In a fourth aspect, an embodiment of the present application provides a storage medium having a computer program stored thereon, the program being executed by a processor to implement the scheduling method of the energy storage system according to any embodiment of the present application.

[0020] The embodiment of the present application provides a scheduling method and device of an energy storage system, an electronic device and a storage medium. First, supply parameters of an electricity system, demand parameters of a frequency modulation auxiliary service system and device parameters of the energy storage system are input into a mixed integer linear programming model; then, the mixed integer linear programming model is used to solve a pre-established cumulative income target function based on pre-set constraint conditions, so that an optimal solution of decision variables of the energy storage system participating in operation of the electricity system and the frequency modulation auxiliary service system is obtained; and finally, the optimal solution of the decision variables is used to schedule a mode of the energy storage system participating in operation of the electricity system and the frequency modulation auxiliary service system. That is, in the technical solution of the present application, the mixed integer linear programming model is used to solve the cumulative income target function, so that the optimal solution of the decision variables of the energy storage system participating in operation of the electricity system and the frequency modulation auxiliary service system is obtained. In the related art, when the energy storage system participates in operation of the electricity system and the frequency modulation auxiliary service system, the demand of the electricity system and the frequency modulation auxiliary service system cannot be met to the maximum extent. Therefore, the scheduling method and device of the energy storage system, the electronic device and the storage medium provided by the embodiment of the present application can meet the demand of the electricity system and the frequency modulation auxiliary service system to the maximum extent, improve the ability of the energy storage system participating in operation of the electricity system and the frequency modulation auxiliary service system, and the technical solution of the embodiment of the present application is simple and convenient, easy to popularize, and has a wider application range. BRIEF DESCRIPTION OF DRAWINGS DETAILED DESCRIPTION OF THE INVENTION BRIEF DESCRIPTION OF DRAWINGS

[0021] FIG. 1 is a flowchart of a scheduling method of an energy storage system provided by an embodiment of the present application;

[0022] FIG. 2 is a flowchart of a scheduling method of an energy storage system provided by another embodiment of the present application;

[0023] FIG. 3 is a schematic diagram of a frequency modulation operation mode of forward frequency modulation reserve and reverse frequency modulation reserve provided by an embodiment of the present application;

[0024] FIG. 4 is a structural schematic diagram of a scheduling device of an energy storage system provided by an embodiment of the present application;

[0025] FIG. 5 is a structural schematic diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0026] The present application will be further described in detail below with reference to the drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts related to the present application are shown in the drawings, rather than all structures.

[0027] FIG. 1 is a flowchart of a scheduling method of an energy storage system according to an embodiment of the present application. The method can be executed by a scheduling device or an electronic device of the energy storage system, which can be implemented by software and / or hardware, and can be integrated into any smart device with network communication function. As shown in FIG. 1, the scheduling method of the energy storage system can include the following steps:

[0028] In S101, supply parameters of the power system and demand parameters of the frequency regulation auxiliary service system and device parameters of the energy storage system are input into a mixed integer linear programming model.

[0029] In specific embodiments of the present application, the supply parameters of the power system include at least one of: an efficiency η - of the power system for charging the energy storage system, an efficiency η + of the energy storage system for discharging the power system, a maximum capacity of the energy storage system, a lower limit SOC min and an upper limit SOC max of the capacity of the energy storage system, a power price of the power system at t, k The demand parameters of the frequency regulation auxiliary service system include at least one of: a frequency regulation activation ratio β, a frequency regulation charging activation signal and a frequency regulation discharging activation signal of the energy storage system at t, j, a revenue of the frequency regulation auxiliary service system per unit power at t, j a power price of the frequency regulation auxiliary service system at t, j

[0030] In S102, the pre-established cumulative revenue objective function is solved based on the pre-set constraint conditions by the mixed integer linear programming model, to obtain an optimal solution of the decision variables of the energy storage system participating in the operation of the power system and the frequency regulation auxiliary service system.

[0031] The cumulative revenue objective function in the embodiments of the present application is the sum of a power system revenue function R da , a frequency regulation service revenue function R fcr,r , and a frequency regulation power revenue function R fcr,a ; wherein the power system revenue function R da is a function of charging power P and discharging power P of the energy storage system in the power system at t, k; the frequency regulation service revenue function R fcr,r is a function of actual power P of the energy storage system for forward reserve frequency regulation and actual power P of the energy storage system for reverse reserve frequency regulation in t, j; and R fcr,aa function of charging power and discharging power of the energy storage system at t,k and t,j a function of charging power and discharging power of the energy storage system at t,j and t,j a function of charging power and discharging power of the energy storage system at t,j

[0032] S103, scheduling the energy storage system to participate in the power system and the frequency regulation auxiliary service system according to the optimal solution of the decision variable.

[0033] The decision variable in the embodiment of the application includes: a first decision variable of the energy storage system participating in the power system and the frequency regulation auxiliary service system according to a first time resolution; a second decision variable of the energy storage system participating in the power system and the frequency regulation auxiliary service system according to a second time resolution; and a third decision variable of the energy storage system participating in the power system and the frequency regulation auxiliary service system according to a third time resolution. The first time resolution in the embodiment of the application can be 4 hours, the second time resolution can be 1 hour, and the third time resolution can be 15 minutes.

[0034] The first decision variable in the embodiment of the application includes at least one of: a binary variable of the energy storage system as a whole being net charged at t and a binary variable of the energy storage system being net discharged at t net charging power and net discharging power of the energy storage system as a whole at t net charging power and net discharging power of the energy storage system as a whole at t charging power and discharging power of the energy storage system for forward reserve frequency regulation at t charging power and discharging power of the energy storage system for forward reserve frequency regulation at t charging power and discharging power of the energy storage system for reverse reserve frequency regulation at t charging power and discharging power of the energy storage system for reverse reserve frequency regulation at t capacity state SOC of the energy storage system at t t ; the second decision variable includes at least one of: charging power and discharging power of the energy storage system in the power system at t,k and t,j The third decision variable includes at least one of: a binary variable of the energy storage system as a whole being net charged at t,j and a binary variable of the energy storage system being net discharged at t,j charging power and discharging power of the energy storage system for forward reserve frequency regulation at t,j charging power and discharging power of the energy storage system for forward reserve frequency regulation at t,j charging power and discharging power of the energy storage system for forward reserve frequency regulation at t,j charging power and discharging power of the energy storage system for forward reserve frequency regulation at t,j charging binary variable of the energy storage system for reverse reserve frequency regulation at t,j and discharge binary variables charging power of the energy storage system for reverse reserve frequency modulation at t,j and discharge power charging energy of the energy storage system for reverse reserve frequency modulation at t,j and discharge energy actual power of the energy storage system for forward reserve frequency modulation at t,j and reverse reserve frequency modulation actual power

[0035] The scheduling method of the energy storage system provided in the embodiments of the present application first inputs the supply parameters of the energy system and the demand parameters of the frequency modulation auxiliary service system into a mixed integer linear programming model; then solves the pre-established cumulative revenue target function based on the pre-set constraint conditions through the mixed integer linear programming model, to obtain the optimal solution of the decision variables of the energy storage system participating in the operation of the energy system and the frequency modulation auxiliary service system; and finally schedules the mode of the energy storage system participating in the operation of the energy system and the frequency modulation auxiliary service system according to the optimal solution of the decision variables. That is, in the technical solution of the present application, the optimal solution of the decision variables of the energy storage system participating in the operation of the energy system and the frequency modulation auxiliary service system is obtained by solving the cumulative revenue target function using the mixed integer linear programming model. In the related art, when the energy storage system participates in the operation of the energy system and the frequency modulation auxiliary service system at the same time, the demand of the energy system and the frequency modulation auxiliary service system cannot be maximally met. Therefore, the scheduling method of the energy storage system provided in the embodiments of the present application can maximally meet the demand of the energy system and the frequency modulation auxiliary service system, and improve the ability of the energy storage system participating in the operation of the energy system and the frequency modulation auxiliary service system. Moreover, the technical solution of the embodiments of the present application is simple and convenient to implement, easy to popularize, and has a wider application range.

[0036] FIG. 2 is a flowchart of a scheduling method of an energy storage system provided by another embodiment of the present application. The technical solution is further optimized and extended based on the above technical solution, and can be combined with each of the optional embodiments described above.

[0037] As shown in FIG. 2, the scheduling method of the energy storage system can include the following steps:

[0038] S201, set a first decision variable of the energy storage system participating in the operation of the energy system and the frequency modulation auxiliary service system according to a first time resolution; set a second decision variable of the energy storage system participating in the operation of the energy system and the frequency modulation auxiliary service system according to a second time resolution; and set a third decision variable of the energy storage system participating in the operation of the energy system and the frequency modulation auxiliary service system according to a third time resolution.

[0039] The first decision variable in the embodiments of the present application includes at least one of: a binary variable of net charging of the whole energy storage system at t time and a binary variable of net discharging Net charging power of the whole energy storage system at t time and net discharging power Charging power of the energy storage system for forward reserve frequency regulation at t time and discharging power Charging power of the energy storage system for reverse reserve frequency regulation at t time and discharging power Capacity state SOC of the energy storage system at t time t ; the second decision variable includes at least one of: charging power and discharging power of the energy storage system in the power system at t, k time and discharging power The third decision variable includes at least one of: a binary variable of net charging of the whole energy storage system at t, j time and a binary variable of net discharging Charging power of the energy storage system for forward reserve frequency regulation at t, j time and discharging power Charging power of the energy storage system for forward reserve frequency regulation in t, j period and discharging power Charging binary variable of the energy storage system for reverse reserve frequency regulation at t, j time and discharging binary variable Charging power of the energy storage system for reverse reserve frequency regulation at t, j time and discharging power Charging power of the energy storage system for reverse reserve frequency regulation in t, j period and discharging power Actual power of the energy storage system for forward reserve frequency regulation in t, j period and actual power of reverse reserve frequency regulation

[0040] S202, establish a power system revenue function, a frequency regulation service revenue function and a frequency regulation power revenue function.

[0041] The power system revenue function R da in the embodiments of the present application is a function of charging power and discharging power of the energy storage system in the power system at t, k time and discharging power The frequency regulation service revenue function R fcr,rLet be the actual power of the energy storage system for positive storage frequency regulation during the time period t,j. and the actual power of reverse reserve frequency modulation functions of R; fcr,a This refers to the charging amount of the energy storage system for positive reserve frequency regulation during the time period t,j. and discharge capacity And the charging power of the energy storage system for reverse storage frequency regulation during the time period t,j. and discharge capacity The function.

[0042] Specifically, the power system revenue function R in the embodiments of this application... da It can be represented as: in, Let dt be the electricity price in the energy system at times t,k; da The second time resolution is a pre-set value, such as 1 hour; T is the total time the energy storage system participates in the operation of the power system and frequency regulation auxiliary service system according to the first time resolution; K is the total time the energy storage system participates in the operation of the power system and frequency regulation auxiliary service system according to the second time resolution.

[0043] Specifically, the frequency modulation service revenue function R in the embodiments of this application... fcr,r It can be represented as: in, Let T be the gain per unit power of the frequency regulation ancillary service system at time t,j; T be the total time the energy storage system participates in the operation of the power system and the frequency regulation ancillary service system according to the first time resolution; and J be the total time the energy storage system participates in the operation of the power system and the frequency regulation ancillary service system according to the third time resolution.

[0044] Specifically, the frequency modulation power revenue function R in the embodiments of this application... fcr,a It can be represented as: in, Let dt be the electricity price for the frequency-adjusted ancillary service system at times t,j. fcr For a pre-set third time resolution, such as 15 minutes.

[0045] S203. Establish a cumulative revenue objective function based on the electricity system revenue function, the frequency regulation service revenue function, and the frequency regulation electricity revenue function.

[0046] The objective function for cumulative returns in this embodiment can be expressed as: f = R da +R fcr,r +R fcr,aThe maximum value of the cumulative revenue objective function f is obtained, that is, the optimal solution of the decision variable of the energy storage system participating in the operation of the electricity system and the frequency modulation auxiliary service system is obtained.

[0047] In S204, the supply parameter of the electricity system and the demand parameter of the frequency modulation auxiliary service system are input into the mixed integer linear programming model.

[0048] In S205, the pre-established cumulative revenue objective function is solved based on the pre-set constraint condition through the mixed integer linear programming model, and the optimal solution of the decision variable of the energy storage system participating in the operation of the electricity system and the frequency modulation auxiliary service system is obtained.

[0049] The constraint condition in the embodiment of the application includes at least one of the following: a constraint condition of charging and discharging power, a constraint condition of binary variable of charging and discharging, a constraint condition of capacity state, and a constraint condition of charging and discharging quantity. The constraint condition of charging and discharging power includes at least one of the following: the net discharging power of the whole energy storage system at t moment is greater than or equal to 0 and less than or equal to the rated power P of the energy storage battery max , the product of the binary variable of the net discharging of the whole energy storage system at t moment , that is, the net charging power of the whole energy storage system at t moment is greater than or equal to 0 and less than or equal to the rated power P of the energy storage battery max , the product of the binary variable of the net charging of the whole energy storage system at t moment , that is, the sum of the discharging power of the energy storage system in the electricity system at t, k moment and the discharging power of the energy storage system for positive reserve frequency modulation at t, j moment is greater than or equal to 0 and less than or equal to the rated power P of the energy storage battery max , the product of the binary variable of the net discharging of the whole energy storage system at t, j moment , that is, the sum of the charging power of the energy storage system in the electricity system at t, k moment and the charging power of the energy storage system for positive reserve frequency modulation at t, j moment is greater than or equal to 0 and less than or equal to the rated power P of the energy storage battery max , the product of the binary variable of the net charging of the whole energy storage system at t, j moment , that is, the charging power of the energy storage system for reverse reserve frequency modulation at t, j moment and the discharging binary variable of the energy storage system for reverse reserve frequency modulation at t, j moment the product of the charging power of the energy storage system at t, k and the discharging power of the energy storage system at t, k is less than or equal to the rated power P of the energy storage battery max the discharging power of the energy storage system at t, k the product of the charging power of the energy storage system at t, k and the discharging power of the energy storage system at t, k, i.e. the discharging power of the energy storage system at t, j for reverse reserve frequency regulation the charging binary variable of the energy storage system at t, j for reverse reserve frequency regulation the product of the charging power of the energy storage system at t, j for reverse reserve frequency regulation and the discharging power of the energy storage system at t, j for reverse reserve frequency regulation is less than or equal to the rated power P of the energy storage battery max the charging power of the energy storage system at t, k the product of the charging power of the energy storage system at t, k and the discharging power of the energy storage system at t, k, i.e. the net charging power of the energy storage system as a whole at t is equal to the charging power of the energy storage system at t, k the charging power of the energy storage system at t, j for forward reserve frequency regulation the sum of the charging power of the energy storage system at t, j for forward reserve frequency regulation and the discharging power of the energy storage system at t, j for reverse reserve frequency regulation minus the discharging power of the energy storage system at t, j for reverse reserve frequency regulation i.e. the net discharging power of the energy storage system as a whole at t is equal to the discharging power of the energy storage system at t, k the discharging power of the energy storage system at t, j for forward reserve frequency regulation the sum of the charging power of the energy storage system at t, j for forward reserve frequency regulation and the discharging power of the energy storage system at t, j for reverse reserve frequency regulation minus the discharging power of the energy storage system at t, j for reverse reserve frequency regulation i.e. the actual power of the energy storage system for forward reserve frequency regulation in the t, j time period is the charging power of the energy storage system at t, j for forward reserve frequency regulation and the discharging power i.e. the actual power of the energy storage system for reverse reserve frequency regulation in the t, j time period is the charging power of the energy storage system at t, j for reverse reserve frequency regulation and the discharging power i.e. the constraint condition of the charging and discharging binary variable includes at least one of the following: the sum of the binary variable of the energy storage system as a whole for net charging at t and the binary variable of the energy storage system as a whole for net discharging at t is less than or equal to 1, i.e. the binary variable of the energy storage system as a whole for net charging at t, j and the binary variable of the energy storage system as a whole for net discharging at t, j The sum is less than or equal to 1, that is The binary variable of discharge for reverse storage frequency regulation of the energy storage system at times t and j. The binary variable representing the net discharge of the energy storage system at time t,j is less than or equal to the total net discharge of the system. Right now The binary variable of charging for reverse storage frequency regulation of the energy storage system at times t and j. The binary variable representing the net charge of the energy storage system as a whole at time t,j is less than or equal to this value. Right now The capacity state constraints include at least one of the following: the capacity state (SOC) of the energy storage system at time t. t This is equivalent to the State of Capacity (SOC) of the energy storage system at time t-1. t-1 The sum of the effective charging energy per unit capacity of the energy storage system, i.e. Where, η - The efficiency of the power system in charging the energy storage system; η + The efficiency of the energy storage system in discharging the electrical system; dt is the preset first time resolution, such as 4 hours; E cap The maximum capacity of the energy storage system; the state of capacity (SOC) of the energy storage system at time t. t The State of Charge (SOC) is greater than or equal to the lower limit of the energy storage system's capacity. min And less than or equal to the upper limit SOC max , i.e., SOC min ≤soc t ≤soc max The constraints on charge and discharge quantities include at least one of the following: the discharge quantity of the energy storage system for positive storage frequency regulation during the time period t,j. This equals the actual power of the energy storage system performing positive reserve frequency regulation during the time period t,j. Frequency modulation activation ratio β, frequency modulation discharge activation signal of the energy storage system at time t,j The product of, i.e. The charging power of the energy storage system during positive storage frequency regulation at times t and j. This equals the actual power of the energy storage system performing positive reserve frequency regulation during the time period t,j. Frequency modulation activation ratio β, frequency modulation charging activation signal of the energy storage system at times t and j The product of, i.e. The discharge capacity of the energy storage system for reverse frequency regulation during the time period t,j This equals the actual power of the energy storage system performing reverse storage frequency regulation during the time period t,j. Frequency modulation activation ratio β, frequency modulation discharge activation signal of the energy storage system at time t,j The product of, i.e. The charging amount of the energy storage system for reverse frequency regulation during time period t,j This equals the actual power of the energy storage system performing reverse storage frequency regulation during the time period t,j. Frequency modulation activation ratio β, frequency modulation charging activation signal of the energy storage system at times t and j The product of, i.e.

[0050] S206. Based on the optimal solution of the decision variables, schedule the mode of the energy storage system's participation in the power system and frequency regulation auxiliary service system.

[0051] In a specific embodiment of this application, the efficiency η of the power system charging the energy storage system is... - The reference value is 0.9, and the efficiency η of the energy storage system in discharging the electrical system is... + The reference value is 0.9, which is the lower limit of the SOC for the capacity of energy storage systems. min The reference value is 0.2, which is the upper limit of the SOC of the energy storage system. max The reference values ​​are 0.9, SOC0 is 0.5, and the frequency modulation activation ratio β is 0.15.

[0052] Figure 3 is a schematic diagram of the frequency modulation operation mode of forward frequency modulation reserve and reverse frequency modulation reserve provided in an embodiment of this application. As shown in Figure 3, the maximum charging power is p max1 The maximum discharge power is p max2 ; Let be the discharge power of the energy storage system in the electrical system at time t,k; Let be the charging power of the energy storage system in the power system at time t,k; Let be the discharge power of the energy storage system for positive reserve frequency regulation at time t; The charging power for positive reserve frequency regulation of the energy storage system at time t; The charging power for reverse storage frequency regulation of the energy storage system at time t; Let t be the discharge power of the energy storage system for reverse storage frequency regulation at time t.

[0053] The scheduling method of the energy storage system provided in the embodiments of the present application first inputs the supply parameters of the electricity system and the demand parameters of the frequency modulation auxiliary service system into a mixed integer linear programming model; then solves the pre-established cumulative income objective function based on the pre-set constraint conditions through the mixed integer linear programming model to obtain the optimal solution of the decision variable of the energy storage system participating in the operation of the electricity system and the frequency modulation auxiliary service system; and finally schedules the mode of the energy storage system participating in the operation of the electricity system and the frequency modulation auxiliary service system according to the optimal solution of the decision variable. That is, in the technical solution of the present application, the optimal solution of the decision variable of the energy storage system participating in the operation of the electricity system and the frequency modulation auxiliary service system is obtained by solving the cumulative income objective function through the mixed integer linear programming model. In the related art, when the energy storage system participates in the operation of the electricity system and the frequency modulation auxiliary service system at the same time, the demand of the electricity system and the frequency modulation auxiliary service system cannot be maximally met. Therefore, the scheduling method of the energy storage system provided in the embodiments of the present application can maximally meet the demand of the electricity system and the frequency modulation auxiliary service system, improve the ability of the energy storage system participating in the operation of the electricity system and the frequency modulation auxiliary service system, and the technical solution of the embodiments of the present application is simple and convenient to popularize and has a wider application range.

[0054] FIG. 4 is a structural schematic diagram of a scheduling device of an energy storage system provided by an embodiment of the present application. As shown in FIG. 4, the scheduling device of the energy storage system comprises an input module 401, a calculation module 402 and a scheduling module 403; wherein,

[0055] The input module 401 is configured to input the supply parameters of the electricity system and the demand parameters of the frequency modulation auxiliary service system and the equipment parameters of the energy storage system into a mixed integer linear programming model;

[0056] The calculation module 402 is configured to solve a pre-established cumulative income objective function based on pre-set constraint conditions through the mixed integer linear programming model to obtain the optimal solution of the decision variable of the energy storage system participating in the operation of the electricity system and the frequency modulation auxiliary service system;

[0057] The scheduling module 403 is configured to schedule the mode of the energy storage system participating in the operation of the electricity system and the frequency modulation auxiliary service system according to the optimal solution of the decision variable.

[0058] The scheduling device of the energy storage system described above can execute the method provided by any embodiment of the present application and has the corresponding function modules and effects of the execution method. Technical details not described in detail in the present embodiment can be referred to the scheduling method of the energy storage system provided by any embodiment of the present application.

[0059] FIG. 5 is a structural schematic diagram of an electronic device according to an embodiment of the present application. FIG. 5 shows a block diagram of an exemplary electronic device suitable for implementing embodiments of the present application. The electronic device 12 shown in FIG. 5 is merely one example and should not be taken as limiting the scope of the present embodiments.

[0060] As shown in FIG. 5, the electronic device 12 is in the form of a general- purpose computing device. The components of electronic device 12 can include, but are not limited to, one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including system memory 28 to processor 16.

[0061] Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration bus, a processor or local bus using any of a variety of bus architectures. By way of example, these architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

[0062] Electronic device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 12 and includes both volatile and non-volatile media, removable and non-removable media.

[0063] System memory 28 can include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Electronic device 12 can also include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 can be provided for reading from and writing to non-removable, non-volatile magnetic media (not shown in FIG. 5 and typically called a "hard drive"). Although not shown, a magnetic hard drive can also be used for a removable, non-volatile magnetic medium (e.g., a "floppy disk"), and an optical disk drive can be used for a removable, non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media). In these instances, each drive can be connected to bus 18 by one or more data media interfaces. Storage 28 can include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the present application.

[0064] Program / utility 40 having a set of program modules 42 can be stored in memory 28 by way of example, such program modules 42 include an operating system, one or more application programs, other program modules, and program data, each or some combination thereof, which can include implementation of the network environment in each or some combination of the examples. Program modules 42 generally carry out the functions and / or methodologies of embodiments described herein.

[0065] Electronic device 12 can also communicate with one or more external devices 14 such as a keyboard or pointing device, a display 24, etc. ; one or more devices that enable a user to interact with electronic device 12 ; and / or one or more devices that enable electronic device 12 to communicate with one or more other computing devices. Such communication can be via input / output (I / O) interfaces 22. Still yet, electronic device 12 can communicate with one or more networks, such as one or more local area networks (LANs) ; wide area networks (WANs) ; and / or public networks, such as the Internet, via network adapter 20. As depicted, network adapter 20 communicates with the other components of electronic device 12 via bus 18. It should be appreciated that although not shown, other hardware and / or software modules could be used in conjunction with electronic device 12. Such as, but not limited to: microcode; device drivers; redundant processing units; external disk drive arrays; RAID systems; tape drives; and data archival storage systems, etc.

[0066] Processing unit 16 performs various function applications and data processing by running programs stored in system memory 28, such as implementing the scheduling method of the energy storage system provided by the embodiments of the present application.

[0067] The embodiments of the present application also provide a computer storage medium.

[0068] The computer readable storage medium of the embodiments of the present application can adopt any combination of one or more computer readable media. The computer readable medium can be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium may, for example, but is not limited to, an electrical, a magnetic, an optical, an electromagnetic, an infrared, or a semiconductor system, device or apparatus, or any combination of the above. More specific examples (a non-exhaustive list) of the computer readable storage medium include an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the computer readable storage medium can be any tangible medium that contains or stores a program used by or in connection with an instruction execution system, apparatus or device.

[0069] The computer readable signal medium can include a computer readable program code in a baseband or propagated as a carrier wave in a propagation medium. Such a propagated signal can take a wide variety of forms, including but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium can be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

[0070] Program code embodied on a computer readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire line, optical fiber cable, RF, etc., or any suitable combination of the above.

[0071] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider). In an embodiment of the application, the remote computer can be a server or another desktop computer.

[0072] The embodiments of the present application also provide a computer program product.

[0073] Various implementations of the systems and techniques described above can be realized in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Claims

1. A method for dispatching an energy storage system, comprising: inputting supply parameters of an electricity system and demand parameters of a frequency regulation auxiliary service system into a mixed integer linear programming model; solving a pre-established cumulative benefit objective function based on pre-set constraint conditions through the mixed integer linear programming model to obtain an optimal solution of decision variables of the energy storage system participating in operation of the electricity system and the frequency regulation auxiliary service system; dispatching a mode of the energy storage system participating in operation of the electricity system and the frequency regulation auxiliary service system according to the optimal solution of the decision variables. 2.The method of claim 1, before inputting the supply parameters of the electricity system and the demand parameters of the frequency regulation auxiliary service system and equipment parameters of the energy storage system into the mixed integer linear programming model, further comprising: setting a first decision variable of the energy storage system participating in operation of the electricity system and the frequency regulation auxiliary service system at a first time resolution; setting a second decision variable of the energy storage system participating in operation of the electricity system and the frequency regulation auxiliary service system at a second time resolution; setting a third decision variable of the energy storage system participating in operation of the electricity system and the frequency regulation auxiliary service system at a third time resolution.

3. The method of claim 1, wherein, The first decision variable comprises at least one of: a binary variable of net charging of the energy storage system as a whole at time t a binary variable of net discharging a net charging power of the energy storage system as a whole at time t and a net discharging power a charging power of the energy storage system for positive reserve frequency regulation at time t and a discharging power a charging power of the energy storage system for negative reserve frequency regulation at time t and a discharging power a state of capacity SOC of the energy storage system at time t t ; The second decision variable comprises at least one of: a charging power of the energy storage system at the time t,k and discharge power The third decision variable includes at least one of the following: a binary variable of net charging of the energy storage system as a whole at t,j and net discharge binary variable the charging power of the energy storage system at time t,j for forward reserve frequency modulation and discharge power a charging power of the energy storage system for forward reserve frequency modulation in a t, j time period and discharge capacity a binary variable indicating whether the energy storage system is charging at time t,j with reverse reserve frequency modulation and discharge binary variable charging power of the energy storage system at time t,j for reverse reserve frequency modulation and discharge power a charging power of the energy storage system for reverse reserve frequency modulation in a t, j time interval and discharge capacity actual power of the energy storage system performing forward reserve frequency modulation during the t, j period And actual power of reverse reserve frequency modulation 4. The method of claim 3, wherein, the constraint conditions comprise at least one of the following: a constraint condition of charge and discharge power, a constraint condition of binary variables of charge and discharge, a constraint condition of capacity state, a constraint condition of charge and discharge amount.

5. The method of claim 4, wherein, The constraint conditions of the charge-discharge power include at least one of the following: the net discharge power of the whole energy storage system at time t greater than or equal to 0 and less than or equal to the rated power P of the energy storage battery max the product of the binary variable of the whole energy storage system performing net discharge at time t the net charge power of the whole energy storage system at time t greater than or equal to 0 and less than or equal to the rated power P of the energy storage battery max the product of the binary variable of the whole energy storage system performing net charge at time t the sum of the discharge power of the energy storage system in the power system at time t, k and the discharge power of the energy storage system performing forward reserve frequency modulation at time t, j greater than or equal to 0 and less than or equal to the rated power P of the energy storage battery max the product of the binary variable of the whole energy storage system performing net discharge at time t, j the sum of the charge power of the energy storage system in the power system at time t, k and the charge power of the energy storage system performing forward reserve frequency modulation at time t, j greater than or equal to 0 and less than or equal to the rated power P of the energy storage battery max the product of the binary variable of the whole energy storage system performing net charge at time t, j the charge power of the energy storage system performing reverse reserve frequency modulation at time t, j and the discharge binary variable of the energy storage system performing reverse reserve frequency modulation at time t, j less than or equal to the rated power P of the energy storage battery max the product of the discharge power of the energy storage system in the power system at time t, k the discharge power of the energy storage system performing reverse reserve frequency modulation at time t, j and the charge binary variable of the energy storage system performing reverse reserve frequency modulation at time t, j less than or equal to the rated power P of the energy storage battery max the product of the charge power of the energy storage system in the power system at time t, k the net charge power of the whole energy storage system at time t is equal to the charge power of the energy storage system in the power system at time t, k and the charge power of the energy storage system performing forward reserve frequency modulation at time t, j the discharge power of the energy storage system at time t,j for forward reserve frequency regulation the net discharge power of the energy storage system at time t equals the discharge power of the energy storage system at time t,k for power system the discharge power of the energy storage system at time t,j for forward reserve frequency regulation the charge power of the energy storage system at time t,j for reverse reserve frequency regulation the actual power of the energy storage system at time t,j for forward reserve frequency regulation the charge power of the energy storage system at time t,j for reverse reserve frequency regulation the minimum of charge and discharge power the actual power of the energy storage system at time t,j for reverse reserve frequency regulation the charge power of the energy storage system at time t,j for reverse reserve frequency regulation the minimum of charge and discharge power ​ The constraint of the binary variable of the charging and discharging includes at least one of the following: a binary variable of the overall net charging of the energy storage system at time t and net discharge binary variable the sum of which is less than or equal to 1 ; a binary variable indicating that the energy storage system as a whole is net charging at time t,j and net discharge binary variable the sum of the products of the first decision variable and the second decision variable is less than or equal to 1; a discharge binary variable of the energy storage system performing reverse reserve frequency modulation at time t,j a binary variable less than or equal to net discharge of the energy storage system as a whole at time t,j a binary variable indicating whether the energy storage system is charging at time t,j with reverse reserve frequency modulation a binary variable less than or equal to net charging of the energy storage system as a whole at time t,j The constraint condition of the capacity state includes at least one of the following: the capacity state SOC of the energy storage system at time t t is equal to the capacity state SOC of the energy storage system at time t-1 t-1 and the sum of the effective charging energy per unit capacity of the energy storage system a state of charge SOC of the energy storage system at time t t greater than or equal to a lower limit SOC of a capacity of the energy storage system min and less than or equal to an upper limit SOC max ; The constraint condition of the charge and discharge quantity comprises at least one of the following: the discharge electric quantity of the energy storage system for positive reserve frequency modulation in the t,j period equal to the actual power of the energy storage system performing forward reserve frequency modulation during the t, j period a frequency modulation activation ratio β, a frequency modulation discharge activation signal of the energy storage system at a time t,j the product of the first decision variable and the third decision variable; the charging power of the energy storage system at time t,j for forward reserve frequency modulation equal to the actual power of the energy storage system performing forward reserve frequency modulation during the t, j period The frequency modulation activation ratio β, the frequency modulation charging activation signal of the energy storage system at t,j moment the product of the second decision variable and the third decision variable; discharge power of the energy storage system in the t, j period equal to the actual power of the energy storage system performing reverse reserve frequency modulation during the t, j period The frequency modulation activation ratio β, the frequency modulation discharge activation signal of the energy storage system at t,j moment the product of the first decision variable and the second decision variable and the third decision variable. a charging power of the energy storage system for reverse reserve frequency modulation in a t, j time interval equal to the actual power of the energy storage system performing reverse reserve frequency modulation during the t, j period The frequency modulation activation ratio β, the frequency modulation charging activation signal of the energy storage system at t,j moment the product of the first decision variable and the second decision variable and the third decision variable. 6.The method of claim 1, before inputting the supply parameters of the electricity system and the demand parameters of the frequency regulation auxiliary service system and equipment parameters of the energy storage system into the mixed integer linear programming model, further comprising: Establishing a power system revenue function R da , a frequency service revenue function R fcr,r , and a frequency power revenue function R fcr,a ; based on the power system revenue function R da , the FM service revenue function R fcr,r , and the FM power revenue function R fcr,a establishes the cumulative revenue objective function.

7. The method of claim 5, wherein, The power system revenue function R da is a function of the charging power and discharging power of the energy storage system at the time t, k in the power system; the frequency regulation service revenue function R fcr,r is a function of the actual power forward reserve frequency regulation and the actual power reverse reserve frequency regulation of the energy storage system in the time period t, j; the R fcr,a is a function of the charging power and discharging power of the energy storage system for forward reserve frequency regulation in the time period t, j and the charging power and discharging power of the energy storage system for reverse reserve frequency regulation in the time period t, j.

8. A dispatching device of an energy storage system, comprising: an input module, a calculation module and a dispatching module; wherein the input module is configured to input the supply parameters of the electricity system and the demand parameters of the frequency regulation auxiliary service system and the equipment parameters of the energy storage system into the mixed integer linear programming model; the calculation module is configured to solve the pre-established cumulative benefit objective function based on the pre-set constraint conditions through the mixed integer linear programming model to obtain the optimal solution of the decision variables of the energy storage system participating in operation of the electricity system and the frequency regulation auxiliary service system; the dispatching module is configured to dispatch the mode of the energy storage system participating in operation of the electricity system and the frequency regulation auxiliary service system according to the optimal solution of the decision variables. 9.An electronic device, comprising: at least one processor; a memory configured to store at least one program, when the at least one program is executed by the at least one processor, the at least one processor implements the dispatching method of the energy storage system according to any one of claims 1 to 7. 10.A storage medium having a computer program stored thereon, the program being executed by a processor to implement the dispatching method of the energy storage system according to any one of claims 1 to 7.

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