Frequency modulation and peak regulation method and system for energy storage configuration of new energy station

Abstract

The invention is suitable for the technical field of energy storage scheduling, and provides a frequency modulation and peak regulation method and system for energy storage configuration of a new energy station, and the method comprises the steps: constructing a target function of a power system scheduling model by taking the unit operation cost and the new energy disposal cost as target parameters; determining constraint conditions of the power system scheduling model based on operation parameters, peak regulation parameters and frequency regulation parameters of a new energy station configured with energy storage; and determining a target power system scheduling scheme according to the target function and the constraint condition. According to the scheduling model considering the new energy station, the effective utilization of the new energy in the power system can be promoted by comprehensively considering the characteristics of the unit and the new energy station. Redundant electric energy of new energy can be stored, the electric energy can be released when needed, a unit is assisted in peak regulation and frequency regulation, and the flexibility and stability of the whole power system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage scheduling, and in particular to a frequency regulation and peak regulation method and system for configuring energy storage at a new energy station. Background Art

[0002] Frequency regulation refers to the energy storage system using its own power response capability to adjust the frequency back to a stable range when the power system frequency deviates from the rated value, such as absorbing power when the frequency increases and releasing power when the frequency decreases; peak regulation is based on the peak-to-valley changes in the load of the power system. The energy storage system stores electricity during the low load period and releases electricity during the peak load period, thereby balancing the supply and demand of electricity. There are obvious deficiencies in the practical application of frequency regulation and peak regulation in the current energy storage system. In the overall dispatching planning of the power system, the frequency regulation and peak regulation of energy storage configured in new energy sites are not taken into consideration, making it difficult for the frequency regulation and peak regulation functions of new energy storage to be organically coordinated and optimized with other power generation resources and power loads, and thus unable to give full play to its huge potential in stabilizing the frequency of the power system and balancing the peak-to-valley difference in power supply and demand, and not utilizing the efficient, safe and stable operation of the power system.

[0003] In view of this, a frequency regulation and peak regulation method and system for configuring energy storage at a new energy station is needed. Summary of the invention

[0004] The embodiment of the present application provides a frequency regulation and peak regulation method and system for configuring energy storage at a new energy station, which is used to solve the problem of low utilization rate of new energy in the power system.

[0005] A first aspect of an embodiment of the present application provides a frequency regulation and peak regulation method for configuring energy storage in a new energy station, comprising:

[0006] The objective function of the power system dispatch model is constructed with the unit operation cost and the new energy abandonment cost as the target parameters;

[0007] Determining the constraints of the power system dispatch model based on the operating parameters, peak load parameters and frequency regulation parameters of the new energy station equipped with energy storage;

[0008] A target power system dispatching plan is determined according to the objective function and the constraint conditions.

[0009] Furthermore, the objective function of the power system dispatching model constructed with the unit operation cost and the new energy abandonment cost as target parameters includes:

[0010]

[0011] Among them: T, G and W are the operating time set, unit set and new energy station set respectively. and are the unit variable cost, unit no-load cost, unit startup cost and new energy abandonment cost, P g,t is the output of a single unit at time t, u g,t is the unit operating status at time t, v g,t is the start-up action of the unit at time t, when it is started, it is v g,t =1, otherwise v g,t =0, is the power abandoned by the new energy station at time t.

[0012] Furthermore, the constraint conditions of the power system dispatching model are determined based on the operating parameters, peak load parameters and frequency regulation parameters of the new energy station equipped with energy storage, including:

[0013] Based on the operating parameters of the new energy station equipped with energy storage, the energy storage charging and discharging constraints, the upper and lower limit constraints of the energy storage energy, the energy storage energy timing constraints and the energy storage energy start and end constraints are determined; based on the peak-shaving parameters of the new energy station equipped with energy storage, the peak-shaving power constraints of the new energy station, the new energy consumption constraints and the output climbing constraints of the new energy station are determined; based on the frequency regulation parameters of the new energy station equipped with energy storage, the frequency regulation standby constraints of the unit, the frequency regulation standby constraints of the energy storage and the frequency security constraints of the power system are determined.

[0014] Furthermore, the energy storage charging and discharging constraints, energy storage energy upper and lower limit constraints, energy storage energy timing constraints and energy storage energy start and end constraints are determined based on the operating parameters of the new energy station equipped with energy storage, including:

[0015] Energy storage charging and discharging constraints:

[0016]

[0017] in: and are the energy storage charging and discharging power of the new energy station s at time t, d s,t is the energy storage charging state of the new energy station s at time t, and They are the upper limits of the energy storage charging and discharging power of the new energy station s at time t;

[0018] Energy storage energy upper and lower limit constraints:

[0019]

[0020] Where: E s,t is the energy level of energy storage at the new energy station s at time t, and They are the upper and lower limits of the energy level allowed for energy storage at the new energy station s, respectively;

[0021] Energy storage energy timing constraints:

[0022]

[0023] Where: E s,t―1 is the energy level of the energy storage of the new energy station s at time t-1, ΔT is the duration of a period, η c and η d are the charging efficiency and discharging efficiency of energy storage respectively;

[0024] Energy storage capacity is always limited:

[0025] |E s,end ―E s,0 |≤γ E E s,0

[0026] Where: E s,0 and E s,end are the charge states of the energy storage components of the new energy station s at the beginning and end of the dispatch cycle, γ E The allowable deviation range.

[0027] Furthermore, the peak-shaving power constraint of the new energy station, the new energy consumption constraint and the output ramp constraint of the new energy station are determined based on the peak-shaving parameters of the new energy station equipped with energy storage, including:

[0028] Peak load constraints of new energy stations:

[0029]

[0030] Where: P w,t The grid-connected output power of the new energy station, S w is the energy storage set configured at the new energy station w, The output predicted for the new energy station;

[0031] Constraints on new energy consumption:

[0032]

[0033] Where: γ w It is the lower limit of new energy consumption;

[0034] New energy station output ramp constraints:

[0035]

[0036] in: It is the output climbing limit of the new energy station w.

[0037] Furthermore, the frequency regulation parameters of the new energy station equipped with energy storage are used to determine the frequency regulation reserve constraints of the unit, the frequency regulation reserve constraints of the energy storage, and the frequency security constraints of the power system, including:

[0038] The unit's frequency regulation reserve constraints include the unit's frequency regulation reserve upper limit constraint, the unit's frequency regulation reserve output constraint, and the unit's total frequency regulation reserve constraint, and their expressions are as follows:

[0039]

[0040]

[0041] Where: R g,t Frequency regulation standby for a single unit, u g,t is the running status of the unit, when running u g,t =1, when the machine stops g,t =0, The maximum frequency regulation reserve for a single unit. is the maximum output of a single unit, It is used as standby for frequency regulation in the unit;

[0042] The frequency regulation reserve constraints of energy storage include the frequency regulation reserve power constraint of energy storage, the frequency regulation reserve energy constraint of energy storage and the total frequency regulation reserve constraint of energy storage. The expressions are as follows:

[0043]

[0044]

[0045]

[0046] Where: R s,t For single energy storage frequency regulation standby, T reg is the duration of one frequency modulation, It is used as a reserve for total frequency regulation of energy storage;

[0047] The power system frequency security constraints include quasi-steady-state frequency security constraints and frequency minimum point constraints, and their expressions are as follows:

[0048]

[0049]

[0050] in: The power shortage caused by system fluctuations, To allow the maximum quasi-steady-state frequency deviation, f da is the damping coefficient, is the total system load, f0 is the rated power, Δf max To allow the maximum frequency deviation, is the total inertia level of the system, T s is the energy storage frequency modulation time constant, T g It is the unit frequency regulation standby time constant.

[0051] Furthermore, determining the target power system dispatching scheme according to the objective function and the constraint condition includes:

[0052] The simulated annealing algorithm is used to solve the parameters of the power system dispatch model, and the target power system dispatch plan is determined based on the optimal solution obtained.

[0053] A second aspect of the embodiment of the present application provides a frequency regulation and peak regulation system for a new energy station configured with energy storage, comprising:

[0054] An objective function construction unit is used to construct an objective function of a power system dispatching model using unit operation cost and new energy abandonment cost as target parameters;

[0055] A constraint determination unit, configured to determine the constraint of the power system dispatch model based on the operating parameters, peak load parameters and frequency regulation parameters of the new energy station equipped with energy storage;

[0056] The target power system dispatching scheme determining unit is used to determine the target power system dispatching scheme according to the objective function and the constraint conditions.

[0057] A third aspect of the embodiments of the present application provides a computer device, including:

[0058] memories, transceivers, processors, and bus systems;

[0059] Wherein, the memory is used to store programs;

[0060] The processor is used to execute the program in the memory, including executing the frequency regulation and peak regulation method of configuring energy storage in the new energy station as described above;

[0061] The bus system is used to connect the memory and the processor so that the memory and the processor can communicate with each other.

[0062] A fourth aspect of an embodiment of the present application provides a readable storage medium, including instructions, which, when executed on a computer, enables the computer to execute the steps of the frequency regulation and peak regulation method for configuring energy storage in a new energy station as described above.

[0063] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0064] The present invention constructs the objective function of the power system dispatch model with the unit operation cost and the new energy abandonment cost as the target parameters, which can comprehensively consider the unit variable cost, no-load cost and startup cost, and consume new energy while considering the cooperation of energy storage and other units, reducing the new energy abandonment cost caused by the inability to store or absorb; considering the operating parameters of the new energy station equipped with energy storage to determine the constraint conditions, it can ensure that the dispatch plan is feasible in actual operation, the introduction of peak load parameters and frequency regulation parameters can maintain the stability of the power system, and the dispatch model considering the new energy station can promote the effective use of new energy in the power system by comprehensively considering the characteristics of the unit and the new energy station. Not only can it store the excess electric energy of new energy, but it can also release electric energy when needed, assist the unit in peak load and frequency regulation, and improve the flexibility and stability of the entire power system.

[0065] Other advantages, objectives, and features of the present invention will be set forth in part in the following description, and in part will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 The present invention is a flowchart of an embodiment of a frequency regulation and peak regulation method for configuring energy storage in a new energy station. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0068] In this embodiment, the frequency regulation and peak regulation method of configuring energy storage in the new energy station is used to improve the utilization rate of new energy in the power system. The implementation method in this embodiment can be implemented in the system, can be implemented in the server, and can also be implemented in the terminal, without specific limitation.

[0069] Embodiment 1

[0070] See also Figure 1 In the present invention, an embodiment of a frequency regulation and peak regulation method for configuring energy storage in a new energy station includes the following steps:

[0071] S11. Construct the objective function of the power system dispatch model with unit operation cost and new energy abandonment cost as target parameters;

[0072] In this embodiment, the objective function of the power system dispatching model in which the new energy station provides peak load regulation and frequency regulation functions is the sum of the unit operation cost and the new energy abandonment cost, which is expressed as follows:

[0073]

[0074] Among them: T, G and W are the operating time set, unit set and new energy station set respectively. and are the unit variable cost, unit no-load cost, unit startup cost and new energy abandonment cost, P g,t is the output of a single unit at time t, u g,t is the unit operating status at time t, v g,t is the start-up action of the unit at time t, when it is started, it is v g,t =1, otherwise v g,t =0, is the power abandoned by the new energy station at time t.

[0075] S12. Determine the constraints of the power system dispatch model based on the operating parameters, peak load parameters and frequency regulation parameters of the new energy station equipped with energy storage;

[0076] In this embodiment, based on the operating parameters of the new energy station equipped with energy storage, energy storage charging and discharging constraints, energy storage energy upper and lower limit constraints, energy storage energy timing constraints and energy storage energy start and end constraints can be determined; based on the peak-shaving parameters of the new energy station equipped with energy storage, the new energy station peak-shaving power constraints, new energy consumption constraints and new energy station output climbing constraints are determined; based on the frequency regulation parameters of the new energy station equipped with energy storage, the unit's frequency regulation standby constraints, energy storage's frequency regulation standby constraints and power system frequency security constraints are determined.

[0077] Specifically,

[0078] Energy storage charging and discharging constraints:

[0079]

[0080] in: and are the energy storage charging and discharging power of the new energy station s at time t, d s,t is the energy storage charging state of the new energy station s at time t, and They are respectively the upper limits of the energy storage charging and discharging power of the new energy station s at time t.

[0081] Energy storage energy upper and lower limit constraints:

[0082]

[0083] Where: E s,t is the energy level of energy storage at the new energy station s at time t, and They are respectively the upper and lower limits of the energy level allowed for energy storage at new energy stations.

[0084] Energy storage energy timing constraints:

[0085]

[0086] Where: E s,t―1 is the energy level of the energy storage of the new energy station s at time t-1, ΔT is the duration of a period, η c and η d They are the charging efficiency and discharging efficiency of energy storage respectively.

[0087] Energy storage capacity is always limited:

[0088] |E s,end ―E t,0 |≤γ E E s,0

[0089] Where: E s,0 and E s,end are the charge states of the energy storage components of the new energy station s at the beginning and end of the dispatch cycle, γ E The allowable deviation range.

[0090] Peak load constraints of new energy stations:

[0091]

[0092] Where: P w,t The grid-connected output power of the new energy station, S w is the energy storage set configured at the new energy station w, The output predicted for the new energy station;

[0093] Constraints on new energy consumption:

[0094]

[0095] Where: γ w It is the lower limit of new energy consumption;

[0096] New energy station output ramp constraints:

[0097]

[0098] in: It is the output climbing limit of the new energy station w.

[0099] The unit's frequency regulation reserve constraints include the unit's frequency regulation reserve upper limit constraint, the unit's frequency regulation reserve output constraint, and the unit's total frequency regulation reserve constraint, and their expressions are as follows:

[0100]

[0101]

[0102] Where: R g,t Frequency regulation standby for a single unit, u g,t is the running status of the unit, when running u g,t =1, when the machine stops g,t =0, The maximum frequency regulation reserve for a single unit. is the maximum output of a single unit, It is used as standby for frequency regulation in the unit;

[0103] The frequency regulation reserve constraints of energy storage include the frequency regulation reserve power constraint of energy storage, the frequency regulation reserve energy constraint of energy storage and the total frequency regulation reserve constraint of energy storage. The expressions are as follows:

[0104]

[0105] Where: R s,t For single energy storage frequency regulation standby, T reg is the duration of one frequency modulation, It is used as a reserve for total frequency regulation of energy storage;

[0106] The power system frequency security constraints include quasi-steady-state frequency security constraints and frequency minimum point constraints, and their expressions are as follows:

[0107]

[0108]

[0109] in: The power shortage caused by system fluctuations, To allow the maximum quasi-steady-state frequency deviation, f da is the damping coefficient, is the total system load, f0 is the rated power, Δf max To allow the maximum frequency deviation, is the total inertia level of the system, T s is the energy storage frequency modulation time constant, T g It is the unit frequency regulation standby time constant.

[0110] S13. Determine the target power system dispatching plan based on the objective function and constraints.

[0111] In this embodiment, step S13 further includes:

[0112] The simulated annealing algorithm is used to solve the parameters of the power system dispatch model, and the target power system dispatch plan is determined based on the optimal solution obtained.

[0113] Specifically, the simulated annealing algorithm accepts inferior solutions with a certain probability, thereby making it possible to jump out of the local optimal solution and find the global optimal solution. Here are the steps for solving the optimal solution of the parameters of the above objective function in detail:

[0114] 1. Initialization: Define the initial solution: Randomly generate a set of initial solutions X0. For the power system dispatch optimization model, the initial solution may include the initial operating state u of the unit g,0 , Initial startup state v g,0 , initial output power P g,0 And the abandoned power of new energy stations Parameters such as. Set initial temperature: Set the initial temperature T0. Temperature is a key parameter in the simulated annealing algorithm, which controls the probability of the algorithm accepting an inferior solution. Here, the value of T0 should be large enough to fully search the solution space in the initial stage. Define the cooling coefficient: Determine the cooling coefficient α, where 0<α<1, which is used to control the temperature drop rate. Set the number of iterations: Set the maximum number of iterations L at each temperature.

[0115] 2. Iterative search: For the current temperature T k , initially k = 0, and L iterations are performed:

[0116] By solving the current k Perform random perturbations to generate new solutions X new For example, for unit operating parameters, the operating status, startup action or output of a unit can be randomly changed; for the abandoned power of new energy stations, a small range of random increases and decreases can be performed.

[0117] Calculate the current solution X respectively k And new solution X new The corresponding objective function value C(X k ) and C(X new ). According to the above model, the objective function value is:

[0118]

[0119] Determine whether to accept the new solution: Calculate the acceptance probability, the formula is:

[0120]

[0121] Generate a random number r between [0,1], if r≤p, accept the new solution, that is, X k+1 =X new ; otherwise keep the current solution, that is, X k+1 =X k .

[0122] 3. Cooling: When the current temperature T kAfter completing L iterations, according to the cooling formula T k+1 =αT k Lower the temperature.

[0123] 4. Repeat steps 2 and 3 above until the termination condition is met, where the termination condition can be that the temperature drops sufficiently, such as T k <T min , where T min It is a pre-set minimum temperature, or the objective function value does not improve significantly after several iterations.

[0124] Through the above iterative process of the simulated annealing algorithm, the solution space is continuously searched, and in the process of gradually decreasing the temperature, the inferior solution is accepted with a certain probability, and finally a better solution is found to minimize the objective function in the above power system optimization model. Similarly, the parameter optimization of other mathematical models is also optimized by this method, and the final optimized power dispatch model is obtained, and the corresponding optimal dispatch plan is generated.

[0125] Embodiment 2

[0126] An embodiment of a frequency regulation and peak regulation system for a new energy station equipped with energy storage in the present invention comprises the following steps:

[0127] An objective function construction unit is used to construct an objective function of a power system dispatching model using unit operation cost and new energy abandonment cost as target parameters;

[0128] A constraint determination unit, used to determine the constraint conditions of the power system dispatch model based on the operating parameters, peak load parameters and frequency regulation parameters of the new energy station equipped with energy storage;

[0129] The target power system dispatching scheme determining unit is used to determine the target power system dispatching scheme according to the objective function and constraint conditions.

[0130] For the specific definition of the system, please refer to the definition of the method above, which will not be repeated here. Each module in the above system can be implemented in whole or in part by software, hardware and a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0131] Embodiment 3

[0132] The present invention provides a computer device, comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the computer-readable instructions, the steps of the above method are implemented.

[0133] Those of ordinary skill in the art will appreciate that the units of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0134] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored. In addition, each functional unit in each embodiment of the present invention can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0135] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for 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, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0136] It can be understood 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 above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A frequency regulation and peak regulation method for configuring energy storage in a new energy station, characterized in that: include: The objective function of the power system dispatch model is constructed with the unit operation cost and the new energy abandonment cost as the target parameters; Determining the constraints of the power system dispatch model based on the operating parameters, peak load parameters and frequency regulation parameters of the new energy station equipped with energy storage; A target power system dispatching plan is determined according to the objective function and the constraint conditions.

2. The frequency modulation and peak regulation method for configuring energy storage in a new energy station according to claim 1 is characterized in that: The objective function of the power system dispatch model constructed with the unit operation cost and the new energy abandonment cost as target parameters includes: Among them: T, G and W are the operating time set, unit set and new energy station set respectively. and are the unit variable cost, unit no-load cost, unit startup cost and new energy abandonment cost, P g,t is the output of a single unit at time t, u g,t is the unit operating status at time t, v g,t is the start-up action of the unit at time t, when it is started, it is v g,t =1, otherwise v g,t =0, is the power abandoned by the new energy station at time t.

3. The frequency modulation and peak regulation method for configuring energy storage in a new energy station according to claim 1 is characterized in that: The determining of the constraint conditions of the power system dispatching model based on the operating parameters, peak load parameters and frequency regulation parameters of the new energy station equipped with energy storage includes: Based on the operating parameters of the new energy station equipped with energy storage, the energy storage charging and discharging constraints, the upper and lower limit constraints of the energy storage energy, the energy storage energy timing constraints and the energy storage energy start and end constraints are determined; based on the peak-shaving parameters of the new energy station equipped with energy storage, the peak-shaving power constraints of the new energy station, the new energy consumption constraints and the output climbing constraints of the new energy station are determined; based on the frequency regulation parameters of the new energy station equipped with energy storage, the frequency regulation standby constraints of the unit, the frequency regulation standby constraints of the energy storage and the frequency security constraints of the power system are determined.

4. The frequency modulation and peak regulation method for configuring energy storage in a new energy station according to claim 3 is characterized in that: The energy storage charging and discharging constraints, energy storage energy upper and lower limit constraints, energy storage energy timing constraints and energy storage energy start and end constraints are determined based on the operating parameters of the new energy station equipped with energy storage, including: Energy storage charging and discharging constraints: in: and are the energy storage charging and discharging power of the new energy station s at time t, d s,t is the energy storage charging state of the new energy station s at time t, and They are the upper limits of the energy storage charging and discharging power of the new energy station s at time t; Energy storage energy upper and lower limit constraints: Where: E s,t is the energy level of energy storage at the new energy station s at time t, and They are the upper and lower limits of the energy level allowed for energy storage at the new energy station s, respectively; Energy storage energy timing constraints: Where: E s,t―1 is the energy level of the energy storage of the new energy station s at time t-1, ΔT is the duration of a period, η c and η d are the charging efficiency and discharging efficiency of energy storage respectively; Energy storage capacity is always limited: |And s,end -AND s,0 |≤γ E AND s,0 Where: E s,0 and E s,end are the charge states of the energy storage components of the new energy station s at the beginning and end of the dispatch cycle, γ E The allowable deviation range.

5. The frequency modulation and peak regulation method for configuring energy storage in a new energy station according to claim 3 is characterized in that: The method of determining the peak-shaving power constraint of the new energy station, the new energy consumption constraint and the output ramp constraint of the new energy station based on the peak-shaving parameters of the new energy station equipped with energy storage includes: Peak load constraints of new energy stations: Where: P w,t The grid-connected output power of the new energy station at time t, S w is the energy storage set configured at the new energy station w, is the output predicted by the new energy station at time t; Constraints on new energy consumption: Where: γ w It is the lower limit of new energy consumption; New energy station output ramp constraints: in: It is the output climbing limit of the new energy station w.

6. The frequency modulation and peak regulation method for configuring energy storage in a new energy station according to claim 3 is characterized in that: The method of determining the frequency regulation standby constraints of the unit, the frequency regulation standby constraints of the energy storage and the frequency security constraints of the power system based on the frequency regulation parameters of the new energy station equipped with energy storage includes: The unit's frequency regulation reserve constraints include the unit's frequency regulation reserve upper limit constraint, the unit's frequency regulation reserve output constraint, and the unit's total frequency regulation reserve constraint, and their expressions are as follows: Where: R g,t Frequency regulation standby for a single unit, u g,t is the running status of the unit. g,t =1, when the machine stops g,t =0, The maximum frequency regulation reserve for a single unit. is the maximum output of a single unit, It is used as standby for frequency regulation in the unit; The frequency regulation reserve constraints of energy storage include the frequency regulation reserve power constraint of energy storage, the frequency regulation reserve energy constraint of energy storage and the total frequency regulation reserve constraint of energy storage. The expressions are as follows: Where: R s,t For single energy storage frequency regulation standby, T reg is the duration of one frequency modulation, It is used as a reserve for total frequency regulation of energy storage; The power system frequency security constraints include quasi-steady-state frequency security constraints and frequency minimum point constraints, and their expressions are as follows: in: The power shortage caused by system fluctuations, To allow the maximum quasi-steady-state frequency deviation, f da is the damping coefficient, is the total system load, f0 is the rated power, Δf max To allow the maximum frequency deviation, is the total inertia level of the system, T s is the energy storage frequency modulation time constant, T g It is the unit frequency regulation standby time constant.

7. The frequency modulation and peak regulation method for configuring energy storage in a new energy station according to claim 1 is characterized in that: Determining the target power system dispatching scheme according to the objective function and the constraint conditions includes: The simulated annealing algorithm is used to solve the parameters of the power system dispatch model, and the target power system dispatch plan is determined based on the optimal solution obtained.

8. A frequency regulation and peak regulation system with energy storage configured in a new energy station, characterized in that: include: An objective function construction unit is used to construct an objective function of a power system dispatching model using unit operation cost and new energy abandonment cost as target parameters; A constraint determination unit, configured to determine the constraint of the power system dispatch model based on the operating parameters, peak load parameters and frequency regulation parameters of the new energy station equipped with energy storage; The target power system dispatching scheme determining unit is used to determine the target power system dispatching scheme according to the objective function and the constraint conditions.

9. A computer device, characterized in that: include: memories, transceivers, processors, and bus systems; Wherein, the memory is used to store programs; The processor is used to execute the program in the memory, including executing the frequency regulation and peak regulation method for configuring energy storage in a new energy station according to any one of claims 1 to 7; The bus system is used to connect the memory and the processor so that the memory and the processor can communicate with each other.

10. A readable storage medium, characterized in that: It includes instructions, which, when running on a computer, enable the computer to execute the steps of the frequency regulation and peak regulation method for configuring energy storage in a new energy station as described in any one of claims 1 to 7.

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