Double-layer optimization method, device and equipment for wind, solar and storage combined frequency regulation and active output

Abstract

The present invention provides a double-layer optimization method, device and equipment for wind, photovoltaic and storage combined frequency modulation active output, including real-time monitoring of power grid frequency, and obtaining the total active power required for frequency modulation through a primary frequency modulation formula; quantifying the frequency modulation cost of wind, photovoltaic and storage into frequency modulation internal loss cost, wind and photovoltaic risk standby cost and energy storage aging cost, constructing an objective function with minimum frequency modulation cost, and constituting an upper-layer optimization constraint for the output of this unit; based on the upper-layer optimization constraint for the output of the unit, using a first toolkit to solve and optimize, and obtaining the optimal active output of wind, photovoltaic and storage for this frequency modulation; constructing an objective function with minimum active power consumption, and constituting the output optimization constraint for this subsystem; based on the output optimization constraint for the subsystem, using a second toolkit to solve and optimize, and obtaining the optimal active output of the sub-energy storage system for this frequency modulation, thereby realizing double-layer optimization of the upper-layer output of the unit and the internal subsystem of the energy storage, and improving the economy of new energy participating in the primary frequency modulation of the power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of power system optimization, and in particular to a double-layer optimization method, device and equipment for wind, solar and energy storage combined frequency regulation active output. Background Art

[0002] Under the real threat of global fossil energy depletion and the increasingly serious greenhouse effect, a wave of clean energy is sweeping the world, and the energy structure dominated by fossil energy is gradually transforming to an energy structure dominated by renewable energy such as wind, light, and water. As an important part of the energy structure, promoting clean electricity is conducive to accelerating the transformation of the overall energy structure. To this end, the installed capacity of new energy power generation such as wind power and photovoltaics has developed rapidly in recent years. However, due to the volatility and randomness of wind and solar energy themselves, there is uncertainty in the frequency modulation performance of wind farms and photovoltaic farms, which may affect their frequency modulation effect.

[0003] Battery energy storage equipment, with its flexible and stable output characteristics, can compensate for the instability of wind power frequency regulation performance to a certain extent. However, the unit cost of energy storage equipment during construction is much higher than that of wind power, and when the energy storage equipment is in a state of charge that is too high or too low, its service life will be significantly shortened and the aging cost will also increase significantly.

[0004] Therefore, how to improve the economic efficiency of new energy participating in the primary frequency regulation of the power grid has become a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0005] The present invention provides a double-layer optimization method, device and equipment for wind, solar and energy storage combined frequency regulation active output, which is used to solve the defect of high economic cost of new energy participating in primary frequency regulation of power grid in the prior art.

[0006] In a first aspect, the present invention provides a two-layer optimization method for wind, solar and energy storage combined frequency regulation active output, comprising:

[0007] Monitor the grid frequency in real time and obtain the total active power required for frequency regulation through the primary frequency regulation formula;

[0008] The frequency regulation cost of wind, solar and energy storage is quantified into the frequency regulation internal loss cost, wind and solar risk backup cost and energy storage aging cost, and the objective function of minimizing the frequency regulation cost is constructed;

[0009] Based on the objective function of minimizing the frequency regulation cost and the required total active power, the upper-level optimization constraint of the unit output is formed;

[0010] Based on the upper optimization constraints of the unit output, the first toolkit is used to solve the optimization and obtain the optimal active output of wind, solar and energy storage for this frequency regulation;

[0011] Based on the wind-solar-storage sub-energy storage system, an objective function for minimizing active power consumption is constructed;

[0012] Based on the objective function of minimizing active power consumption, the SOC of the sub-energy storage system, the frequency regulation capability and the total active output of the energy storage, the sub-system output optimization constraints are formed;

[0013] Based on the subsystem output optimization constraints, the second toolkit is used to solve the optimization and obtain the optimal active output of the sub-energy storage system for this frequency regulation, thereby achieving double-layer optimization of the upper-level output of the unit and the internal subsystem of the energy storage.

[0014] According to a double-layer optimization method for wind, solar and energy storage combined frequency regulation active output provided by the present invention, the objective function for minimizing the frequency regulation cost is:

[0015]

[0016] in, It represents the frequency modulation cost corresponding to this control cycle t, They represent the primary frequency regulation active output of the wind farm, photovoltaic farm and energy storage power station in this control cycle t respectively; represents the frequency modulation internal loss cost, represents the energy storage aging cost, Represents the risk backup cost of wind and solar power.

[0017] According to a double-layer optimization method for wind, solar and energy storage combined frequency regulation active output provided by the present invention, the frequency regulation internal loss cost is determined as follows:

[0018]

[0019]

[0020] in, , , Respectively represent the unit internal loss cost of wind farm, photovoltaic farm and energy storage power station, , They represent the internal loss power coefficients of wind farms and photovoltaic farms respectively, and m and n represent the internal loss power coefficients of energy storage power stations.

[0021] According to a double-layer optimization method for wind, solar and energy storage combined frequency modulation active output provided by the present invention, the energy storage aging cost is determined in the following manner:

[0022]

[0023] in, represents the investment cost of energy storage power station, represents the life of the energy storage power station, T represents the operating temperature of the energy storage power station, Represents the total capacity of the energy storage power station, represents the static SOC of the energy storage power station, which is taken as 0.5, and a, b, c, and d represent the fitting coefficients of the energy storage power station with respect to temperature and SOC.

[0024] According to a double-layer optimization method for wind-solar-storage combined frequency regulation active output provided by the present invention, the wind-solar risk standby cost is determined as follows:

[0025]

[0026] in, , Respectively represent the unit risk reserve cost of wind farm and photovoltaic farm, is the probability function of wind speed, is The required wind speed under It indicates the probability that the wind farm cannot meet the active output. is the probability function of wind speed, is The required wind speed under Indicates the probability that the PV field cannot meet the active output.

[0027] According to a double-layer optimization method for wind, solar and energy storage combined frequency modulation active output provided by the present invention, the upper-layer optimization constraint of the unit output is:

[0028]

[0029]

[0030]

[0031]

[0032]

[0033] in, They represent the primary frequency regulation active output of the wind farm, photovoltaic farm, and energy storage power station in this control cycle t, respectively. Indicates the upper limit of active power of wind farm, Indicates the upper limit of the active power of the photovoltaic field. Indicates the upper limit of active power of energy storage power station. Indicates the charging status of the energy storage power station after this frequency regulation control. express Lower limit, express Upper limit, Indicates the total amount of active power required.

[0034] According to a two-layer optimization method for wind, solar and storage combined frequency modulation active output provided by the present invention, the sub-storage system based on the wind, solar and storage constructs an objective function for minimizing active power consumption, including:

[0035] Fitting the maximum active value of the PCS DC terminal of the sub-energy storage system and the SOC data of the sub-energy storage system into a first function curve;

[0036] Fitting the efficiency of the PCS of the sub-energy storage system and the AC end active data of the PCS of the sub-energy storage system into a second function curve;

[0037] Combined with the circuit model of the sub-energy storage system, the active power loss of each sub-energy storage system is obtained;

[0038] Based on the first function curve, the second function curve and the active power loss of each sub-energy storage system, an objective function for minimizing active power consumption is constructed.

[0039] According to a two-layer optimization method for wind, solar and energy storage combined frequency modulation active output provided by the present invention, the subsystem output optimization constraints are:

[0040]

[0041]

[0042]

[0043]

[0044] in, Indicates the initial SOC of each sub-energy storage system in this frequency regulation control, The capacity of each sub-storage system, Indicates the SOC at the end of this control cycle, express Lower limit, express Upper limit, Indicates the maximum active power of the PCS DC terminal of the sub-energy storage system, Indicates the active power at the DC end of the converter, Indicates the active power at the AC end of the converter, represents the rated active power of the i-th energy storage subsystem in the energy storage power station, It represents the primary frequency regulation active output of the energy storage power station within this control cycle t.

[0045] In a second aspect, the present invention further provides a double-layer optimization device for wind, solar and energy storage combined frequency modulation active output, comprising:

[0046] The monitoring module is used to monitor the grid frequency in real time and obtain the total active power required for frequency regulation through the primary frequency regulation formula;

[0047] The first construction module is used to quantify the frequency regulation cost of wind, solar and energy storage into frequency regulation internal loss cost, wind and solar risk backup cost and energy storage aging cost, and construct an objective function to minimize the frequency regulation cost;

[0048] A first constraint module is used to form an upper-level optimization constraint for the output of the current unit based on the objective function of minimizing the frequency regulation cost and the required total active power;

[0049] The first optimization module is used to solve and optimize based on the upper-level optimization constraints of the unit output using the first toolkit to obtain the optimal active output of wind, solar and energy storage for this frequency regulation;

[0050] The second building module is used to build an objective function of minimizing active power consumption based on the wind-solar-storage sub-energy storage system;

[0051] The second constraint module is used to form the subsystem output optimization constraint based on the objective function of minimizing active power consumption, the SOC of the sub-energy storage system, the frequency regulation capability and the total active output of the energy storage system;

[0052] The second optimization module is used to solve and optimize based on the subsystem output optimization constraints using the second toolkit to obtain the optimal active output of the sub-energy storage system for this frequency modulation, thereby achieving double-layer optimization of the upper output of the unit and the internal subsystem of the energy storage.

[0053] In a third aspect, the present invention further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements a two-layer optimization method for active output of wind, solar, and storage combined frequency regulation as described in any one of the above-mentioned methods.

[0054] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a two-layer optimization method for active output of wind, solar, and storage combined frequency regulation as described in any one of the above.

[0055] In a fifth aspect, the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the double-layer optimization method for active output of wind, solar and energy storage combined frequency regulation as described in any one of the above.

[0056] The present invention provides a two-layer optimization method, device and equipment for wind, solar and storage combined frequency regulation active output, including real-time monitoring of the grid frequency, and obtaining the total active power required for frequency regulation through a primary frequency regulation formula; quantifying the frequency regulation cost of wind, solar and storage into the frequency regulation internal loss cost, wind and solar risk standby cost and energy storage aging cost, and constructing an objective function for minimizing the frequency regulation cost; based on the objective function for minimizing the frequency regulation cost and the total active power required, constituting the upper-layer optimization constraint of the unit output; based on the upper-layer optimization constraint of the unit output, using the first toolkit to solve the optimization, and obtaining The optimal active output of wind, solar and energy storage for this frequency regulation; based on the sub-energy storage system of wind, solar and energy storage, construct the objective function of minimizing active power consumption; based on the objective function of minimizing active power consumption, the SOC of the sub-energy storage system, the frequency regulation capability and the total active output of energy storage, constitute the subsystem output optimization constraints for this time; based on the subsystem output optimization constraints, use the second toolkit to solve and optimize, and obtain the optimal active output of the sub-energy storage system for this frequency regulation, realize the double-layer optimization of the upper-level output of the unit and the internal subsystem of the energy storage, and improve the economic efficiency of new energy participating in the primary frequency regulation of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0058] Figure 1 It is a flow chart of the double-layer optimization method for wind, solar and energy storage combined frequency regulation active output provided in this embodiment;

[0059] Figure 2 is a schematic diagram of the structure of the energy storage system provided in this embodiment;

[0060] Figure 3a This is a schematic diagram of the total power required for primary frequency regulation of the wind, solar and storage units provided in this embodiment;

[0061] Figure 3b This is the active output diagram of the primary frequency regulation of the wind-solar-storage unit provided in this embodiment;

[0062] Figure 4 is a frequency regulation cost diagram of the primary frequency regulation of the wind-solar-storage unit provided in this embodiment;

[0063] Figure 5 It is a schematic diagram of primary frequency modulation active output of each subsystem of the energy storage system provided in this embodiment;

[0064] Figure 6 is a schematic diagram of primary frequency modulation active power loss of each subsystem of the energy storage system provided in this embodiment;

[0065] Figure 7 It is a structural schematic diagram of a double-layer optimization device for wind, solar and energy storage combined frequency modulation active output provided in this embodiment;

[0066] Figure 8 It is a schematic diagram of the structure of the electronic device provided in this embodiment. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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.

[0068] Figure 1 is a flow chart of the double-layer optimization method for wind, solar and energy storage combined frequency modulation active output provided in this embodiment, Figure 2 It is a structural schematic diagram of the energy storage system provided in this embodiment.

[0069] like Figure 1 and Figure 2 As shown, the double-layer optimization method for wind-solar-storage combined frequency modulation active output provided by the embodiment of the present invention mainly includes the following steps:

[0070] 101. Monitor the grid frequency in real time and obtain the total active power required for frequency regulation through the primary frequency regulation formula.

[0071] In a specific implementation process, the grid frequency can be monitored in real time through the PMU (Phasor Measurement Unit) system, and the total active power required for frequency modulation can be obtained by applying the obtained low-frequency signal to the primary frequency modulation formula, which is recorded as .

[0072] 102. Quantify the frequency regulation cost of wind, solar and energy storage into the frequency regulation internal loss cost, wind and solar risk backup cost and energy storage aging cost, and construct an objective function to minimize the frequency regulation cost.

[0073] The objective function of minimizing the frequency modulation cost is as follows:

[0074] (1)

[0075] in, It represents the frequency modulation cost corresponding to this control cycle t, They represent the primary frequency regulation active output of the wind farm, photovoltaic farm and energy storage power station in this control cycle t respectively; represents the frequency modulation internal loss cost, represents the energy storage aging cost, Represents the risk backup cost of wind and solar power.

[0076] Correspondingly, the method for determining the frequency modulation internal loss cost is formula (2):

[0077]

[0078] (2)

[0079] in, , , Respectively represent the unit internal loss cost of wind farm, photovoltaic farm and energy storage power station, , They represent the internal loss power coefficients of wind farms and photovoltaic farms respectively, and m and n represent the internal loss power coefficients of energy storage power stations.

[0080] The aging cost of energy storage is determined by formula (3):

[0081] (3)

[0082] in, represents the investment cost of energy storage power station, represents the life of the energy storage power station, T represents the operating temperature of the energy storage power station, Represents the total capacity of the energy storage power station, represents the static SOC of the energy storage power station, which is taken as 0.5, and a, b, c, and d represent the fitting coefficients of the energy storage power station with respect to temperature and SOC.

[0083] The method for determining the risk reserve cost of wind and solar power is formula (4):

[0084] (4)

[0085] in, , Respectively represent the unit risk reserve cost of wind farm and photovoltaic farm, is the probability function of wind speed, is The required wind speed under It indicates the probability that the wind farm cannot meet the active output. is the probability function of wind speed, is The required wind speed under Indicates the probability that the PV field cannot meet the active output.

[0086] 103. The upper-level optimization constraints of the unit output are formed based on the objective function of minimizing the frequency regulation cost and the required total active power.

[0087] After constructing the objective function to minimize the frequency regulation cost, the wind, solar and storage frequency regulation capabilities and the total active power required for this frequency regulation are used to calculate the frequency regulation cost. , which constitutes the upper optimization constraint of the unit output, as shown in formulas (5)(6)(7)(8)(9):

[0088] The upper optimization constraints of the unit output are:

[0089] (5)

[0090] (6)

[0091] (7)

[0092] (8)

[0093] (9)

[0094] in, They represent the primary frequency regulation active output of the wind farm, photovoltaic farm, and energy storage power station in this control cycle t, respectively. Indicates the upper limit of active power of wind farm, Indicates the upper limit of the active power of the photovoltaic field. Indicates the upper limit of active power of energy storage power station. Indicates the charging status of the energy storage power station after this frequency regulation control. express Lower limit, express Upper limit, Indicates the total amount of active power required.

[0095] Among them, the active output of wind, solar and storage cannot exceed the upper limit of wind, solar and storage. The upper limit of the active power of the photovoltaic field is related to the current wind speed and load reduction rate. The upper limit of the active power of the energy storage station is related to the current light intensity and load reduction rate. Related to the status of the sub-energy storage system. The state of charge of the energy storage power station after this frequency regulation control cannot exceed the specified SOC upper and lower limits to ensure the healthy use of the battery. In addition, the active output of wind, solar and storage must meet the total active power required for the primary frequency regulation.

[0096] 104. Based on the upper-level optimization constraints of the unit output, the first toolkit is used to solve the optimization and obtain the optimal active output of wind, solar and energy storage for this frequency regulation.

[0097] After obtaining the upper-level optimization constraints of the unit output, the first toolkit, such as the cvx toolkit, is used to solve and optimize, so as to obtain the optimal active output of wind, solar and storage for this frequency regulation through the upper-level optimization solution.

[0098] 105. Based on the wind, solar and storage sub-energy storage system, construct the objective function of minimizing active power consumption.

[0099] The maximum active power of the PCS DC terminal of the sub-energy storage system Fitting the SOC data of the sub-energy storage system into the first function curve , the efficiency of the PCS of the sub-storage system (AC active power / DC active power) and the AC active power Pout data of the PCS of the sub-energy storage system are fitted into the second function curve . Combined with the circuit model of the sub-energy storage system, Figure 2 , then we can get the active efficiency of the battery modules of each sub-energy storage system , as shown in formula (10) (11);

[0100] (10)

[0101] (11)

[0102] in, represents the output current of the power supply end of the i-th sub-energy storage system, R is the equivalent internal resistance of the battery, is the open circuit voltage of the power supply (see Figure 2 ).

[0103] Get the battery efficiency of the sub-storage module and converter efficiency , then the objective function that minimizes the active power loss can be constructed, that is, based on the first function curve, the second function curve and the active power loss of each sub-energy storage system, the objective function that minimizes the active power consumption is constructed, such as formula (12) (13);

[0104] (12)

[0105] (13)

[0106] 106. Based on the objective function of minimizing active power consumption, the SOC of the sub-energy storage system, the frequency regulation capability and the total active output of the energy storage, the sub-system output optimization constraints are constructed.

[0107] The SOC, frequency regulation capability, and total active output of the sub-storage system constitute the optimization constraints of this optimization, as shown in formulas (14), (15), (16), and (17);

[0108] (14)

[0109] (15)

[0110] (16)

[0111] (17)

[0112] in, Indicates the initial SOC of each sub-energy storage system in this frequency regulation control, The capacity of each sub-storage system, Indicates that the SOC at the end of this control cycle must be within the SOC limit range. express Lower limit, express Upper limit, Indicates the active power at the DC end of the converter, Indicates the active power at the AC end of the converter, represents the rated active power of the i-th energy storage subsystem in the energy storage power station, It represents the primary frequency regulation active output of the energy storage power station within this control cycle t. Indicates the maximum active power of the PCS DC terminal of the sub-energy storage system. It is a function that changes with SOC and will affect the upper limit of the frequency regulation output of the sub-energy storage system. Therefore, the upper limit of the frequency regulation of the energy storage power station as a whole (Formula (7)) mentioned above will be related to the SOC of each sub-energy storage system, that is, there is Formula (18).

[0113] (18)

[0114] 107. Based on the subsystem output optimization constraints, the second toolkit is used to solve the optimization and obtain the optimal active output of the sub-energy storage system for this frequency regulation, thus achieving double-layer optimization of the upper-level output of the unit and the internal subsystem of the energy storage.

[0115] Finally, by using a second toolkit, such as the OPTI toolkit, to solve and optimize, the optimal active output of the sub-energy storage system can be obtained.

[0116] By quantifying the frequency regulation cost of wind, solar and storage stations and fully considering the coordination between the internal subsystems of the energy storage power station and the overall energy storage power station, the upper-level optimization of the wind, solar and storage unit output is first carried out, and then the output of the internal subsystem of the energy storage is re-optimized. The optimization problem of the active output distribution of primary frequency regulation in wind, solar and storage is solved through a double-layer optimization method, thereby improving the economic efficiency of new energy participating in the primary frequency regulation of the power grid.

[0117] The scheme of the present invention is demonstrated through experimental simulation, in which a frequency regulation control cycle is set to 1.5s. The energy storage power station consists of three sub-energy storage systems, with initial SOCs of 0.8, 0.65, and 0.5 respectively. The rated power of each sub-energy storage system is 30MW and the capacity is 3MW·h. The rated wind speed of the wind farm is 9m / s and the rated power is 500MW. The rated light intensity of the photovoltaic field is 9m / s and the rated power is 400MW. The initial load reduction rate of the wind and solar fields is 20%, that is, 20% of the rated power is reserved for frequency regulation.

[0118] Figure 3a This is a schematic diagram of the total power required for primary frequency regulation of the wind, solar and storage units provided in this embodiment; Figure 3b This is the active output diagram of the primary frequency regulation of the wind-solar-storage unit provided in this embodiment; Figure 4 is a frequency regulation cost diagram of the primary frequency regulation of the wind-solar-storage unit provided in this embodiment; Figure 5 It is a schematic diagram of primary frequency modulation active output of each subsystem of the energy storage system provided in this embodiment; Figure 6 It is a schematic diagram of primary frequency modulation active power loss of each subsystem of the energy storage system provided in this embodiment.

[0119] pass Figure 3a , Figure 3b and Figure 4 It can be seen that the use of this method in primary frequency regulation can control the active output of wind, solar and energy storage to achieve economic optimization. Figure 5 and Figure 6 It can be seen that when the active output required for energy storage is small, this method first controls the sub-energy storage system 1 to output alone. When the required output continues to increase, the sub-energy storage systems 2 and 3 then output in turn. This method can be used to redistribute the active output of the sub-energy storage systems and reduce active power losses. This improves the economic efficiency of new energy participating in the primary frequency regulation of the power grid through double-layer optimization.

[0120] Based on the same general inventive concept, the present invention also protects a double-layer optimization device for wind, solar, and storage combined frequency modulation active output. The double-layer optimization device for wind, solar, and storage combined frequency modulation active output provided by the present invention is described below. The double-layer optimization device for wind, solar, and storage combined frequency modulation active output described below and the double-layer optimization method for wind, solar, and storage combined frequency modulation active output described above can be referenced to each other.

[0121] Figure 7 It is a structural schematic diagram of the double-layer optimization device for wind, solar and energy storage combined frequency regulation active output provided in this embodiment.

[0122] like Figure 7 As shown, this embodiment provides a double-layer optimization device for wind, solar and energy storage combined frequency regulation active output, including:

[0123] Monitoring module 701, used to monitor the grid frequency in real time and obtain the total active power required for frequency regulation through a primary frequency regulation formula;

[0124] The first construction module 702 is used to quantify the frequency regulation cost of wind, solar and energy storage into frequency regulation internal loss cost, wind and solar risk backup cost and energy storage aging cost, and construct an objective function that minimizes the frequency regulation cost;

[0125] The first constraint module 703 is used to form the upper-level optimization constraint of the unit output based on the objective function of minimizing the frequency regulation cost and the required total active power;

[0126] The first optimization module 704 is used to solve and optimize based on the upper optimization constraints of the unit output using the first toolkit to obtain the optimal active output of wind, solar and energy storage for this frequency regulation;

[0127] The second construction module 705 is used to construct an objective function of minimizing active power consumption based on the wind-solar-storage sub-energy storage system;

[0128] The second constraint module 706 is used to form the subsystem output optimization constraint based on the objective function of minimizing active power consumption, the SOC of the sub-energy storage system, the frequency regulation capability and the total active output of the energy storage system;

[0129] The second optimization module 707 is used to solve and optimize based on the subsystem output optimization constraints using the second toolkit to obtain the optimal active output of the sub-energy storage system for this frequency modulation, thereby achieving double-layer optimization of the upper-level output of the unit and the internal subsystem of the energy storage.

[0130] Figure 8 It is a schematic diagram of the structure of the electronic device provided in this embodiment.

[0131] like Figure 8As shown, the electronic device may include: a processor (processor) 810, a communication interface (Communications Interface) 820, a memory (memory) 830 and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can call the logic instructions in the memory 830 to execute the two-layer optimization method of wind, solar and storage combined frequency regulation active output, the method comprising: real-time monitoring of the grid frequency, and obtaining the total active power required for frequency regulation through a primary frequency regulation formula; quantifying the frequency regulation cost of wind, solar and storage into the frequency regulation internal loss cost, the wind and solar risk standby cost and the energy storage aging cost, and constructing an objective function for minimizing the frequency regulation cost; based on the objective function for minimizing the frequency regulation cost and the required total active power, constituting the upper-level optimization constraint of the unit output; based on the upper-level optimization constraint of the unit output , use the first toolkit to solve and optimize, and obtain the optimal active output of wind, solar and energy storage for this frequency modulation; based on the sub-energy storage system of the wind, solar and energy storage, construct the objective function of minimizing active power consumption; based on the objective function of minimizing active power consumption, the SOC of the sub-energy storage system, the frequency regulation capability and the total active output of the energy storage, constitute the subsystem output optimization constraint for this time; based on the subsystem output optimization constraint, use the second toolkit to solve and optimize, and obtain the optimal active output of the sub-energy storage system for this frequency modulation, realizing the double-layer optimization of the upper-level output of the unit and the internal subsystem of the energy storage.

[0132] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0133] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the two-layer optimization method for wind, solar, and storage combined frequency regulation active output provided by the above methods. The method includes: real-time monitoring of the grid frequency, and obtaining the total active power required for frequency regulation through a primary frequency regulation formula; quantifying the frequency regulation cost of wind, solar, and storage into frequency regulation internal loss cost, wind and solar risk standby cost, and energy storage aging cost, and constructing an objective function for minimizing the frequency regulation cost; based on the objective function for minimizing the frequency regulation cost and the required active power output The total amount of work constitutes the upper-level optimization constraint of the unit output; based on the upper-level optimization constraint of the unit output, the first toolkit is used to solve and optimize, and the optimal active output of wind, solar and storage for this frequency modulation is obtained; based on the sub-energy storage system of the wind, solar and storage, an objective function of minimum active power consumption is constructed; based on the objective function of minimum active power consumption, the SOC of the sub-energy storage system, the frequency regulation capability and the total active output of the energy storage, the subsystem output optimization constraint is constituted; based on the subsystem output optimization constraint, the second toolkit is used to solve and optimize, and the optimal active output of the sub-energy storage system for this frequency modulation is obtained, thereby realizing the double-layer optimization of the upper-level output of the unit and the internal subsystem of the energy storage.

[0134] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a two-layer optimization method for wind, solar, and energy storage combined frequency regulation active output provided by the above methods, the method comprising: real-time monitoring of the grid frequency, and obtaining the total amount of active power required for frequency regulation through a primary frequency regulation formula; quantifying the frequency regulation cost of wind, solar, and energy storage into the cost of internal loss of frequency regulation, the cost of wind and solar risk standby, and the cost of energy storage aging, and constructing an objective function for minimizing the frequency regulation cost; based on the objective function for minimizing the frequency regulation cost and the total amount of active power required, forming an upper-layer optimization function for the output of this unit ization constraint; based on the upper-level optimization constraint of the unit output, the first toolkit is used to solve and optimize, and the optimal active output of wind, solar and storage for this frequency modulation is obtained; based on the sub-storage system of the wind, solar and storage, an objective function of minimum active power consumption is constructed; based on the objective function of minimum active power consumption, the SOC of the sub-storage system, the frequency regulation capability and the total active output of the energy storage, the subsystem output optimization constraint is constructed; based on the subsystem output optimization constraint, the second toolkit is used to solve and optimize, and the optimal active output of the sub-storage system for this frequency modulation is obtained, realizing the double-layer optimization of the upper-level output of the unit and the internal subsystem of the energy storage.

[0135] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0136] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0137] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A two-layer optimization method for wind, solar and energy storage combined frequency modulation active output, characterized in that: include: Monitor the grid frequency in real time and obtain the total active power required for frequency regulation through the primary frequency regulation formula; The frequency regulation cost of wind, solar and energy storage is quantified into the frequency regulation internal loss cost, wind and solar risk backup cost and energy storage aging cost, and the objective function of minimizing the frequency regulation cost is constructed; Based on the objective function of minimizing the frequency regulation cost and the required total active power, the upper-level optimization constraint of the unit output is formed; Based on the upper optimization constraints of the unit output, the first toolkit is used to solve the optimization and obtain the optimal active output of wind, solar and energy storage for this frequency regulation; Based on the wind-solar-storage sub-energy storage system, an objective function for minimizing active power consumption is constructed; Based on the objective function of minimizing active power consumption, the SOC of the sub-energy storage system, the frequency regulation capability and the total active output of the energy storage, the sub-system output optimization constraints are formed; Based on the subsystem output optimization constraints, the second toolkit is used to solve the optimization and obtain the optimal active output of the sub-energy storage system for this frequency regulation, thereby achieving double-layer optimization of the upper-level output of the unit and the internal subsystem of the energy storage.

2. The double-layer optimization method for wind, solar and energy storage combined frequency modulation active output according to claim 1 is characterized in that: The objective function for minimizing the frequency modulation cost is: in, It represents the frequency modulation cost corresponding to this control cycle t, They represent the primary frequency regulation active output of the wind farm, photovoltaic farm and energy storage power station in this control cycle t respectively; represents the frequency modulation internal loss cost, represents the energy storage aging cost, Represents the risk backup cost of wind and solar power.

3. The double-layer optimization method for wind, solar and energy storage combined frequency modulation active output according to claim 2 is characterized in that: The method for determining the frequency modulation internal loss cost is as follows: in, , , Respectively represent the unit internal loss cost of wind farm, photovoltaic farm and energy storage power station, , They represent the internal loss power coefficients of wind farms and photovoltaic farms respectively, and m and n represent the internal loss power coefficients of energy storage power stations.

4. The double-layer optimization method for wind, solar and energy storage combined frequency modulation active output according to claim 2 is characterized in that: The energy storage aging cost is determined as follows: in, represents the investment cost of energy storage power station, represents the life of the energy storage power station, T represents the operating temperature of the energy storage power station, Represents the total capacity of the energy storage power station, represents the static SOC of the energy storage power station, which is taken as 0.5, and a, b, c, and d represent the fitting coefficients of the energy storage power station with respect to temperature and SOC.

5. The double-layer optimization method for wind, solar and energy storage combined frequency modulation active output according to claim 2 is characterized in that: The method for determining the wind and solar risk reserve cost is as follows: in, , Respectively represent the unit risk reserve cost of wind farm and photovoltaic farm, is the probability function of wind speed, is The required wind speed under It indicates the probability that the wind farm cannot meet the active output. is the probability function of wind speed, is The required wind speed under Indicates the probability that the PV field cannot meet the active output.

6. The double-layer optimization method for wind, solar and energy storage combined frequency modulation active output according to claim 1 is characterized in that: The upper optimization constraint of the unit output is: in, They represent the primary frequency regulation active output of the wind farm, photovoltaic farm, and energy storage power station in this control cycle t, respectively. Indicates the upper limit of active power of wind farm, Indicates the upper limit of the active power of the photovoltaic field. Indicates the upper limit of active power of energy storage power station. Indicates the charging status of the energy storage power station after this frequency regulation control. express Lower limit, express Upper limit, Indicates the total amount of active power required.

7. The double-layer optimization method for wind, solar and energy storage combined frequency modulation active output according to claim 1 is characterized in that: The sub-storage system based on the wind-solar-storage system constructs an objective function for minimizing active power consumption, including: Fitting the maximum active value of the PCS DC terminal of the sub-energy storage system and the SOC data of the sub-energy storage system into a first function curve; Fitting the efficiency of the PCS of the sub-energy storage system and the AC end active data of the PCS of the sub-energy storage system into a second function curve; Combined with the circuit model of the sub-energy storage system, the active power loss of each sub-energy storage system is obtained; Based on the first function curve, the second function curve and the active power loss of each sub-energy storage system, an objective function for minimizing active power consumption is constructed.

8. The double-layer optimization method for wind, solar and energy storage combined frequency modulation active output according to any one of claims 1 to 7, characterized in that: The subsystem output optimization constraints of this time are: in, Indicates the initial SOC of each sub-energy storage system in this frequency regulation control, The capacity of each sub-storage system, Indicates the SOC at the end of this control cycle, express Lower limit, express Upper limit, Indicates the maximum active power of the PCS DC terminal of the sub-energy storage system, Indicates the active power at the DC end of the converter, Indicates the active power at the AC end of the converter, represents the rated active power of the i-th energy storage subsystem in the energy storage power station, It represents the primary frequency regulation active output of the energy storage power station within this control cycle t.

9. A double-layer optimization device for wind, solar and energy storage combined frequency modulation active output, characterized in that: include: The monitoring module is used to monitor the grid frequency in real time and obtain the total active power required for frequency regulation through the primary frequency regulation formula; The first construction module is used to quantify the frequency regulation cost of wind, solar and energy storage into frequency regulation internal loss cost, wind and solar risk backup cost and energy storage aging cost, and construct an objective function to minimize the frequency regulation cost; A first constraint module is used to form an upper-level optimization constraint for the output of the current unit based on the objective function of minimizing the frequency regulation cost and the required total active power; The first optimization module is used to solve and optimize based on the upper-level optimization constraints of the unit output using the first toolkit to obtain the optimal active output of wind, solar and energy storage for this frequency regulation; The second building module is used to build an objective function of minimizing active power consumption based on the wind-solar-storage sub-energy storage system; The second constraint module is used to form the subsystem output optimization constraint based on the objective function of minimizing active power consumption, the SOC of the sub-energy storage system, the frequency regulation capability and the total active output of the energy storage system; The second optimization module is used to solve and optimize based on the subsystem output optimization constraints using the second toolkit to obtain the optimal active output of the sub-energy storage system for this frequency modulation, thereby achieving double-layer optimization of the upper output of the unit and the internal subsystem of the energy storage.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, it implements the double-layer optimization method for active output of wind, solar and energy storage combined frequency regulation as described in any one of claims 1 to 8.

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