Energy storage configuration method and apparatus applicable to energy storage device participating in wind farm frequency regulation, and terminal device

Abstract

Disclosed in the present invention are an energy storage configuration method and apparatus applicable to an energy storage device participating in wind farm frequency regulation, and a terminal device. A present-value coefficient of the life cycle of an energy storage device is taken into consideration during the construction of an energy storage configuration optimization model, and thus an operation cost model of the energy storage device is constructed on the basis of the present-value coefficient, such that an optimal charging / discharging power can be finally obtained on the basis of the life cycle of the energy storage device, thereby preventing performance degradation and premature failure of the energy storage device due to excessive use, and reducing the replacement and maintenance cost of an entire wind farm frequency regulation system; and in order to enhance the frequency stability of an offshore wind farm, a final charging / discharging strategy for the energy storage device can further be optimized on the basis of a power balance constraint and a frequency stability constraint between the offshore wind farm and the energy storage device, such that the optimized final charging / discharging strategy better adapts to changes in wind power output. Therefore, the present invention can cope with the actual operating situation of the offshore wind farm, more effectively smooth fluctuations in wind power output, and maintain the stability of a grid frequency.

Description

Energy storage configuration method, device and terminal equipment suitable for energy storage device participating in frequency modulation of wind farm TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage device control of offshore wind farm, and particularly relates to an energy storage configuration method, device and terminal equipment suitable for energy storage device participating in frequency modulation of wind farm. BACKGROUND

[0002] The participation of energy storage device in frequency modulation of wind farm refers to the real-time adjustment of output power of offshore wind farm by using the rapid response characteristics of energy storage system (such as battery energy storage device, super capacitor energy storage, etc.), so as to maintain the stability of power grid frequency. The energy storage device (such as battery energy storage system) has the ability of rapid charging and discharging, and can quickly respond to the change of power grid frequency.

[0003] In order to enable the energy storage device to better participate in the frequency modulation of the wind farm, when the energy storage device is configured, the comprehensive factors and comprehensive effects of the energy storage device and the wind farm are often considered. However, the power configuration of the energy storage device is usually based on the historical average wind speed or the maximum wind speed in the prior art, the volatility and uncertainty of the wind speed of offshore wind farm are ignored, and the service life and capacity characteristics of the energy storage device are not configured and controlled for charging and discharging power. In some cases, the energy storage device may be in an idle state, and in other cases, the energy storage device may not be able to effectively participate in frequency modulation due to insufficient power, thereby reducing the overall utilization rate of the energy storage device, thereby increasing the economic cost of the entire wind farm frequency modulation system. Moreover, since the intermittency and uncertainty brought by wind speed fluctuation are not considered, the configuration of the energy storage system cannot effectively respond to the actual operation of the offshore wind farm, resulting in an increase in system frequency fluctuation, thereby affecting the overall stability of the power grid. SUMMARY

[0004] The energy storage configuration method, device and terminal equipment suitable for energy storage device participating in frequency modulation of wind farm provided by the embodiments of the present application can obtain optimal charging and discharging power based on the life cycle of the energy storage device, and consider the frequency stability constraint between offshore wind farm and energy storage device, so as to optimize the final charging and discharging strategy of the energy storage device, make it better adapt to the change of wind power output, and effectively solve the problem that the intermittency and uncertainty brought by wind speed fluctuation are not considered in the prior art, resulting in an increase in system frequency fluctuation, thereby affecting the overall stability of the power grid.

[0005] An embodiment of the present application provides an energy storage configuration method suitable for energy storage device participating in frequency modulation of wind farm, comprising:

[0006] generate a present value coefficient for operation and maintenance cost evaluation of the energy storage device according to a life cycle of the energy storage device for participating in frequency modulation of the wind farm and a discount rate of the energy storage device; and then construct an energy storage device operation cost model according to the present value coefficient, a rated power of the energy storage device, and an annual operation and maintenance cost of the energy storage device;

[0007] construct an energy storage configuration optimization model with a minimum total cost as an objective according to loss cost data of the energy storage device, construction cost data of the energy storage device, operation cost data of the wind farm, and the energy storage device operation cost model; wherein the energy storage configuration optimization model comprises: wind farm operation constraints, energy storage device operation constraints, frequency stability constraints between the offshore wind farm and the energy storage device, and power balance constraints between the offshore wind farm and the energy storage device;

[0008] solve the energy storage configuration optimization model under the wind farm operation constraints, the energy storage device operation constraints, the frequency stability constraints, and the power balance constraints to generate target charging power and target discharging power of the energy storage device at each time corresponding to a minimum total cost;

[0009] configure actual charging power and actual discharging power of the energy storage device at each time according to the target charging power and the target discharging power.

[0010] Preferably, the generating of the present value coefficient for operation and maintenance cost evaluation of the energy storage device according to the life cycle of the energy storage device for participating in frequency modulation of the wind farm and the discount rate of the energy storage device comprises:

[0011] determine a conversion coefficient corresponding to a cycle number according to a ratio of a rated cycle number of the energy storage device to an actual rated cycle number of the energy storage device;

[0012] generate a life cycle corresponding to the energy storage device according to the actual rated cycle number of the energy storage device, a charging and discharging depth, an energy storage rated capacity, an annual discharging amount, an annual discharging number of the energy storage device, and the conversion coefficient;

[0013] generate the present value coefficient for operation and maintenance cost evaluation of the energy storage device according to the life cycle corresponding to the energy storage device and a preset discount rate.

[0014] Preferably, the constructing of the energy storage device operation cost model according to the present value coefficient, the rated power of the energy storage device, and the annual operation and maintenance cost of the energy storage device comprises:

[0015] generate an annual operation and maintenance cost of a converter in the energy storage device according to an annual operation and maintenance cost of a unit energy storage power and a rated power of the converter in the energy storage device;

[0016] According to the annual operation and maintenance cost of the energy storage unit capacity and the energy storage capacity corresponding to each time, the annual operation and maintenance cost of the energy storage capacity is generated;

[0017] Based on the present value coefficient, the annual operation and maintenance cost of the converter and the annual operation and maintenance cost of the energy storage capacity, an energy storage device operation cost model is constructed.

[0018] Preferably, the energy storage device operation cost model is constructed according to the following formula: S ope =(λ ope,p P r +2λ ope,e C t )ψ;

[0019] Wherein, S ope is the operation cost of the energy storage device, λ ope,p is the annual operation and maintenance cost of the energy storage unit power, P r is the rated power of the converter in the energy storage device, λ ope,e is the annual operation and maintenance cost of the energy storage unit capacity, C t is the energy storage capacity corresponding to t time, ψ is the present value coefficient, Y is the life cycle, μ is the discount rate, N s is the actual rated cycle number of the energy storage device, D OD is the charge and discharge depth, D SS is the energy storage rated capacity, θ is the conversion coefficient, D d,i is the discharge amount of the i th discharge stage of the d th day, and n is the discharge number of the d th day.

[0020] Preferably, the energy storage configuration optimization model with the minimum total cost as the target is constructed according to the loss cost data of the energy storage device, the construction cost data of the energy storage device, the operation cost data of the wind farm and the energy storage device operation cost model, comprising:

[0021] The energy storage configuration optimization model is constructed according to the following formula: S min =S ope +S loss,abs +S in +S s ; S loss,abs =S loss -S di ; S in =λ p P r +2λ e C n ; S s =S q +S r +S t ;

[0022] wherein S min is the total cost corresponding to the energy storage configuration optimization model, S ope is an operation cost model of the energy storage device, S loss,abs is a loss cost model of the energy storage device, S in is a construction cost model of the energy storage device, S s is an operation cost model of the wind farm, S loss is a selling cost corresponding to the lost power, S di is a difference in operation cost of the energy storage device in different operation states; λ p is a unit power cost of the converter, P r is a rated power of the converter, λ e is a unit capacity cost of the energy storage device, C n is a rated capacity of the energy storage device, S q is a penalty cost of offshore wind farm curtailment, S r is a load shedding reserve cost; S t is an AC system support power cost.

[0023] Preferably, the construction of the loss cost model of the energy storage device comprises:

[0024] generating the lost power according to the annual discharge depth, the total discharge of the energy storage device in different charge and discharge depths, and the rated capacity of the energy storage device;

[0025] generating the selling cost corresponding to the lost power according to the lost power and the selling cost corresponding to the unit power;

[0026] generating the difference in operation cost of the energy storage device in different operation states according to the discharge of the energy storage device in the standard charge and discharge depth and the non-standard charge and discharge depth, and the unit power cost;

[0027] constructing the loss cost model of the energy storage device based on the selling cost corresponding to the lost power and the difference in operation cost of the energy storage device in different operation states.

[0028] Preferably, the frequency stability constraint between the offshore wind farm and the energy storage device comprises: a frequency change rate constraint and a frequency deviation constraint; and the wind farm operation constraint comprises: a wind farm output constraint and a power response constraint of the wind farm when primary frequency modulation is performed.

[0029] The power balance constraint between the offshore wind farm and the energy storage device is: P load,t = P out,t + P ac,t + P SS2,t - P waste,t - PSS1,t ; 0≤P SS1,t ≤θ t,1 P; 0≤P SS2,t ≤θ t,2 P; θ t,1 +θ t,2 ≤1;

[0030] wherein, P load,t is a preset total power, P out,t is an output power corresponding to a wind farm at time t, P ac,t is an AC system support power at time t, P SS2,t is a discharge power corresponding to a storage device at time t, P waste,t is a wind power abandonment at time t, P SS1,t is a charging power corresponding to a storage device at time t, θ t,1 is a storage charging state variable, P is a peak power of a storage device, θ t,2 is a storage discharge state variable;

[0031] The frequency change rate constraint is: -FM max ≤FM t,x ≤FM max ;

[0032] wherein, FM max is a preset maximum frequency change rate, FM t,x is a frequency change rate corresponding to time t, P u,t,x is an unbalanced power corresponding to the xth point when a disturbance occurs at time t, f0 is a preset total rated frequency, J s,t is a total system inertia, P im,t is a preset disturbance power at time t, is an actual frequency modulation power of the xth point of the wind farm a at time t, ΔP c,t,x is a primary frequency modulation power of the storage device corresponding to the xth point at time t, and N is the number of wind farms;

[0033] The frequency deviation constraint is: -Δf max ≤Δf t,x ≤Δf max ; Δf t,x = Δf t,x-1 + FM t,x τ;

[0034] wherein, Δf t,x is a frequency deviation, Δf max is a preset maximum frequency deviation, and τ is a preset step length;

[0035] The wind farm output constraint is:

[0036] wherein R w,a,t is the reserve power of the wind farm a at time t, and a is the wind farm reserve rate, is the maximum output of the wind farm a at time t;

[0037] The power response constraint of the wind farm during primary frequency modulation is:

[0038] wherein, is the actual frequency modulation power of the wind farm a at time t after disturbance at the xth point, is the primary frequency modulation power of the wind farm a at time t after disturbance at the xth point, R w,a,t is the reserve power of the wind farm a at time t, T w,a is the primary frequency modulation time constant of the wind farm a, δ σ,a is the primary frequency modulation coefficient, Δf d is the frequency modulation dead zone, P w,a is the rated power of the wind farm a.

[0039] Preferably, the operating constraints of the energy storage device further include: the power response constraint of the energy storage device during primary frequency modulation, the energy storage device capacity constraint, and the energy storage device frequency modulation power limit constraint;

[0040] The power response constraint of the energy storage device during primary frequency modulation is:

[0041] wherein ΔP c,t,x is the primary frequency modulation power of the energy storage device at time t after disturbance at the xth point, T c is the first-order inertia time constant of the energy storage device, δ σ,c is the primary frequency modulation coefficient of the energy storage device, P n is the rated power of the energy storage device;

[0042] The energy storage device capacity constraint is: t+1 =C t +η SS1 P SS1,t τ-P SS2,t τ / η SS2 ; C min ≤C t ≤C n ;

[0043] wherein C t is the energy storage capacity corresponding to time t, η SS1 is the charging efficiency, P SS1,t is the charging power of the energy storage device corresponding to time t, P SS2,tis the discharge power corresponding to the energy storage device at time t, η SS2 is the discharge efficiency, C min is the preset minimum capacity corresponding to the energy storage device, C n is the rated capacity of the energy storage device;

[0044] The frequency modulation power limit constraint of the energy storage device is: 0≤ΔP z,t,x ≤K max P new,t -P SS2,t +P SS1,t ;

[0045] Wherein, ΔP z,t,x is the total frequency modulation power corresponding to the energy storage device at time t at point x; J c,t is the inertia time constant, K max is the maximum charge and discharge power of the energy storage, P new,t is the instantaneous power of the energy storage device at time t.

[0046] On the basis of the method embodiment, the application provides a device embodiment.

[0047] An embodiment of the application provides a storage configuration device suitable for energy storage devices participating in frequency modulation of a wind power plant, comprising: an energy storage device operation cost model construction module, an energy storage configuration optimization model construction module, a model solving module and an energy storage device configuration module.

[0048] The energy storage device operation cost model construction module is used for generating a present value coefficient of the energy storage device for operation and maintenance cost evaluation according to a life cycle of the energy storage device participating in frequency modulation of the wind power plant and a discount rate of the energy storage device, and then constructing an energy storage device operation cost model according to the present value coefficient, a rated power of the energy storage device and an annual operation and maintenance cost of the energy storage device.

[0049] The energy storage configuration optimization model construction module is used for constructing an energy storage configuration optimization model with a minimum total cost as an objective according to loss cost data of the energy storage device, construction cost data of the energy storage device, operation cost data of the wind power plant and the energy storage device operation cost model; wherein the energy storage configuration optimization model comprises: a wind power plant operation constraint, an energy storage device operation constraint, a frequency stability constraint between the offshore wind power plant and the energy storage device and a power balance constraint between the offshore wind power plant and the energy storage device.

[0050] The model solving module is used for solving the energy storage configuration optimization model under the wind power plant operation constraint, the energy storage device operation constraint, the frequency stability constraint and the power balance constraint, to generate target charging power and target discharging power of the energy storage device corresponding to each time when the total cost is minimum.

[0051] The energy storage device configuration module is configured to configure actual charging power and actual discharging power of the energy storage device at each time according to the respective target charging power and the respective target discharging power.

[0052] Based on the method embodiments described above, the application further provides terminal device embodiments.

[0053] Another embodiment of the application provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the energy storage configuration method for frequency modulation of a wind farm with participation of an energy storage device according to the above-mentioned embodiments of the application when executing the computer program.

[0054] The application has the following beneficial effects:

[0055] The energy storage configuration method, device and terminal device for frequency modulation of a wind farm with participation of an energy storage device provided by the embodiments of the application can solve the target charging power and the target discharging power of the energy storage device at each time through the constructed energy storage configuration optimization model, and when constructing the energy storage configuration optimization model, the life cycle of the energy storage device and the influence of the present value coefficient for operation and maintenance cost evaluation are considered, so that the operation cost model of the energy storage device is constructed based on the present value coefficient, the rated power of the energy storage device and the annual operation and maintenance cost of the energy storage device, so that the optimal charging and discharging power can be obtained based on the life cycle of the energy storage device, the performance of the energy storage device is prevented from being degraded and the energy storage device is prevented from being scrapped prematurely, the sustainable use of resources is realized, the service life of the energy storage device is prolonged, and the replacement and maintenance cost of the entire frequency modulation system of the wind farm is reduced, thereby improving the overall economy. Further, in order to enhance the frequency stability of the offshore wind farm, the power balance constraint can be constructed according to the output power of the wind farm, the charging power and the discharging power of the energy storage device, and the frequency stability constraint between the offshore wind farm and the energy storage device is also considered to optimize the final charging and discharging strategy of the energy storage device (for example, the target charging power and the target discharging power of the energy storage device at each time are solved under the wind farm operation constraint, the energy storage device operation constraint, the frequency stability constraint and the power balance constraint), so that the energy storage device can better adapt to the change of wind power output. Compared with the prior art, the application can cope with the actual operation of the offshore wind farm, more effectively suppress the fluctuation of wind power output, and maintain the stability of the power grid frequency. BRIEF DESCRIPTION OF DRAWINGS

[0056] FIG. 1 is a flowchart of an energy storage configuration method for frequency modulation of a wind farm with participation of an energy storage device according to an embodiment of the application.

[0057] Fig. 2 is a flowchart of solving an offshore wind farm energy storage optimization configuration according to an embodiment of the present application.

[0058] Fig. 3 is a structural diagram of a storage configuration device suitable for energy storage devices participating in wind farm frequency modulation according to an embodiment of the present application. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present application will be clearly and completely described with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0060] Fig. 1 is a flowchart of a storage configuration method suitable for energy storage devices participating in wind farm frequency modulation according to an embodiment of the present application. The storage configuration method suitable for energy storage devices participating in wind farm frequency modulation comprises the following steps.

[0061] Step S1: generating a present value coefficient for operating and maintenance cost evaluation of the energy storage device according to the life cycle of the energy storage device participating in wind farm frequency modulation and the discount rate of the energy storage device; and then constructing an energy storage device operating cost model according to the present value coefficient, the rated power of the energy storage device, and the annual operating and maintenance cost of the energy storage device.

[0062] Step S2: constructing an energy storage configuration optimization model with the minimum total cost as the target according to the loss cost data of the energy storage device, the construction cost data of the energy storage device, the operating cost data of the wind farm, and the energy storage device operating cost model; wherein the energy storage configuration optimization model comprises wind farm operating constraints, energy storage device operating constraints, frequency stability constraints between the offshore wind farm and the energy storage device, and power balance constraints between the offshore wind farm and the energy storage device.

[0063] Step S3: solving the energy storage configuration optimization model under the wind farm operating constraints, the energy storage device operating constraints, the frequency stability constraints, and the power balance constraints to generate target charging power and target discharging power of the energy storage device at each time corresponding to the minimum total cost.

[0064] Step S4: configuring actual charging power and actual discharging power of the energy storage device at each time corresponding to each target charging power and each target discharging power.

[0065] For step S1, in a preferred embodiment, the generating of the present value coefficient for operating and maintenance cost evaluation of the energy storage device according to the life cycle of the energy storage device participating in wind farm frequency modulation and the discount rate of the energy storage device comprises:

[0066] According to the ratio of the rated cycle number of the energy storage device and the actual rated cycle number of the energy storage device, a conversion coefficient corresponding to the cycle number is determined;

[0067] According to the actual rated cycle number of the energy storage device, the depth of charge and discharge, the energy storage rated capacity, the annual discharge amount, the annual discharge number of the energy storage device, and the conversion coefficient, a life cycle corresponding to the energy storage device is generated;

[0068] According to the life cycle corresponding to the energy storage device and a preset discount rate, a present value coefficient of the energy storage device for operation and maintenance cost evaluation is generated.

[0069] Specifically, the present value coefficient can be calculated according to the following formula:

[0070] Wherein, ψ is the present value coefficient, Y is the life cycle, μ is the discount rate, N s is the actual rated cycle number of the energy storage device, D OD is the depth of charge and discharge, D SS is the energy storage rated capacity, θ is the conversion coefficient, D d,i is the discharge amount of the i-th discharge stage on the d-th day, and n is the discharge number on the d-th day.

[0071] It can be understood that the life cycle of the energy storage is affected by the working environment, the charge and discharge rate, and the depth of charge and discharge. In actual operation, the discharge depth and the cycle number are usually used to estimate the life cycle of the energy storage device.

[0072] Therefore, the cycle number fitting can be performed using the measured data to obtain the cycle number N of the energy storage device:

[0073] In the formula, D OD is the depth of charge and discharge, and the measured data in the formula is obtained by experiment by the energy storage device manufacturer.

[0074] The depth of charge and discharge is usually a constant in formula calculation, but it cannot be a constant under actual operating conditions. Therefore, the converted data can be represented as:

[0075] In the formula, N s is the actual rated cycle number, and θ is the conversion coefficient.

[0076] Therefore, the life cycle of the energy storage device can be represented as:

[0077] In the formula, n is the discharge number on the d-th day, D d,i is the discharge amount of the i-th discharge stage on the d-th day.SS is a single energy storage rated capacity.

[0078] Further, in a preferred embodiment, the energy storage device operation cost model is constructed according to the present value coefficient, rated power of the energy storage device, and annual operation and maintenance cost of the energy storage device, and includes:

[0079] According to the annual operation and maintenance cost of the energy storage unit power and the rated power of the converter in the energy storage device, the annual operation and maintenance cost of the converter in the energy storage device is generated;

[0080] According to the annual operation and maintenance cost of the energy storage unit capacity and the energy storage capacity corresponding to each time, the annual operation and maintenance cost of the energy storage capacity is generated;

[0081] Based on the present value coefficient, the annual operation and maintenance cost of the converter, and the annual operation and maintenance cost of the energy storage capacity, the energy storage device operation cost model is constructed.

[0082] Specifically, the energy storage device operation cost model can be constructed according to the following formula: S ope =(λ ope,p P r +2λ ope,e C t )ψ;

[0083] Wherein, S ope is the operation cost of the energy storage device, λ ope,p is the annual operation and maintenance cost of the energy storage unit power, P r is the rated power of the converter in the energy storage device, λ ope,e is the annual operation and maintenance cost of the energy storage unit capacity, C t is the energy storage capacity corresponding to t time, and ψ is the present value coefficient.

[0084] From the above process of constructing the energy storage device operation cost model, it can be seen that the embodiment of the application can more accurately evaluate the cost of the device in the entire use cycle by considering the life cycle of the energy storage device, and the calculation of the life cycle considers the actual operation conditions such as charging and discharging depth and cycle number, so that the cost evaluation is more close to the actual situation.

[0085] And by introducing the present value coefficient, the future cost is converted to the current value, so that the costs at different time points can be compared and accumulated, so as to obtain the accurate total cost in the entire life cycle, so that in the subsequent energy storage configuration optimization process, the resources can be more reasonably allocated, and the optimal energy storage configuration scheme is selected, and the maximum utilization of resources is realized.

[0086] For step S2, in order to construct the energy storage configuration optimization model with the minimum total cost as the target, based on the energy storage device operation cost model constructed in step 1, the application can also first construct a loss cost model of the energy storage device, a construction cost model of the energy storage device, and an operation cost model of the wind farm.

[0087] In a preferred embodiment, the construction of the loss cost model of the energy storage device comprises:

[0088] According to the annual discharge depth, the total discharge amount of the energy storage device at different charge and discharge depths, and the rated capacity of the energy storage device, the lost electric quantity is generated;

[0089] According to the lost electric quantity and the electricity selling cost corresponding to the unit electric quantity, the electricity selling cost corresponding to the lost electric quantity is generated;

[0090] According to the discharge amount of the energy storage device corresponding to the standard charge and discharge depth and the non-standard charge and discharge depth respectively, and the unit electric quantity cost, the operation cost difference corresponding to the different operation states of the energy storage device at the standard charge and discharge depth and the non-standard charge and discharge depth is generated;

[0091] Based on the electricity selling cost corresponding to the lost electric quantity and the operation cost difference of the energy storage device at different operation states, the loss cost model of the energy storage device is constructed.

[0092] Specifically, the loss cost model of the energy storage device can be constructed according to the following formula: loss,abs loss di

[0093] In a preferred embodiment, S loss,abs is the loss cost model of the energy storage device, S loss is the electricity selling cost corresponding to the lost electric quantity, and S di is the operation cost difference of the energy storage device at different operation states.

[0094] Illustratively, due to the complex chemical reactions inside the actual operation energy storage device, excessive charge and discharge depth will cause irreversible damage to the energy storage device, so the maximum throughput in the life cycle of the energy storage device is defined as the corresponding standard charge and discharge depth D ODb , and the set value is 0.75.

[0095] According to the loss cost function established under the above standard charge and discharge depth, the lost electric quantity in the corresponding state is converted, and the cost generated by the real-time electricity selling price is represented, as shown in the following formula:

[0096] In the formula, C loss is the lost electric quantity; and S loss ​​​is the corresponding electricity selling cost; c e is the on-grid electricity price; D OD,y,d,i is the discharge depth of the i-th discharge stage on the d-th day of the y-th year; it is assumed that the rated capacity of a single energy storage is 1 (dimensionless), E n = ND OD C n represents the total discharge amount of the energy storage system with a rated capacity of 1 under different charge and discharge depths.

[0097] Further, the loss cost of the energy storage operation can be defined as S loss,abs , as shown in the following formula:

[0098] In the formula: S di is the difference between the operation costs under different operating states; E n,1 = ND OD C n , E n,2 = ND ODb C n E n2 / E n1 is the E n total discharge amount under the standard charge and discharge depth and the general case (i.e., non-standard charge and discharge depth), and S is the unit electricity cost.

[0099] Therefore, the embodiments of the present application can reflect the actual use of the energy storage device in a year by considering the annual discharge depth, so that the loss thereof can be more accurately evaluated. The performance difference under different charge and discharge depths directly affects the efficiency and service life of the energy storage device, and therefore, the embodiments of the present application can more accurately calculate the lost electricity by considering this factor. Moreover, the difference in discharge amount of the energy storage device under the standard charge and discharge depth and the non-standard charge and discharge depth is also considered, and in combination with the unit electricity cost, the difference in operation cost of the energy storage device under different operating states is calculated, so that the economy of the energy storage device under different use conditions can be more comprehensively evaluated.

[0100] Based on the electricity selling cost corresponding to the lost electricity and the difference in operation cost of the energy storage device under different operating states, the loss cost model of the energy storage device is comprehensively constructed, so that the total cost of the energy storage device in the life cycle can be accurately reflected, thereby providing strong support for optimizing the energy storage configuration.

[0101] Further, the construction cost model of the energy storage device is as follows: S in = λ p P r + 2 λ e C n ;

[0102] In the formula: λ p is the unit power cost of the converter; λ eS is the unit capacity cost of the energy storage device; P r C is the rated power of the converter; n C is the rated capacity of the energy storage device;

[0103] The operation cost model of the offshore wind farm is shown in the following formula: S s = S q + S r + S t ;

[0104] In the formula, S q is the penalty cost of wind curtailment of the offshore wind farm; S r is the load reduction reserve cost; and S t is the AC system support power cost.

[0105] Finally, the energy storage configuration optimization model can be constructed according to the following formula: S min = S ope + S loss,abs + S in + S s ; S loss,abs = S loss - S di ; S in = λ p P r + 2λ e C n ; S s = S q + S r + S t ;

[0106] In the formula, S min is the total cost corresponding to the energy storage configuration optimization model; S ope is the operation cost model of the energy storage device; S loss,abs is the loss cost model of the energy storage device; S in is the construction cost model of the energy storage device; S s is the operation cost model of the wind farm; S loss is the electricity selling fee corresponding to the lost electricity; S di is the operation fee difference of the energy storage device in different operation states; λ p is the unit power cost of the converter; P r is the rated power of the converter; λ e is the unit capacity cost of the energy storage device; C n is the rated capacity of the energy storage device; S q is the penalty cost of wind curtailment of the offshore wind farm; S r is the load reduction reserve cost; and S t is the AC system support power cost.

[0107] The constraint corresponding to the energy storage configuration optimization model is: a wind farm operation constraint, an energy storage device operation constraint, a frequency stability constraint between the offshore wind farm and the energy storage device, and a power balance constraint between the offshore wind farm and the energy storage device.

[0108] The frequency stability constraint between the offshore wind farm and the energy storage device comprises a frequency change rate constraint and a frequency deviation constraint.

[0109] For the offshore wind farm, the wind farm operation constraint comprises a wind farm output constraint and a power response constraint corresponding to primary frequency modulation of the wind farm.

[0110] For the energy storage device, the energy storage device operation constraint further comprises a power response constraint corresponding to primary frequency modulation of the energy storage device, an energy storage device capacity constraint, and an energy storage device frequency modulation power limit constraint.

[0111] Specifically, the power balance constraint between the offshore wind farm and the energy storage device is: load,t P out,t +P ac,t +P SS2,t -P waste,t -P SS1,t ; 0≤P SS1,t ≤θ t,1 P; 0≤P SS2,t ≤θ t,2 P; θ t,1 +θ t,2 ≤1.

[0112] P load,t is a preset total power, P out,t is an output power of the wind farm at time t, P ac,t is an alternating current system support power at time t, P SS2,t is a discharge power of the energy storage device at time t, P waste,t is a wind curtailment power at time t, P SS1,t is a charging power of the energy storage device at time t, θ t,1 is an energy storage charging state variable, P is a peak power of the energy storage device, and θ t,2 is an energy storage discharge state variable.

[0113] The frequency change rate constraint is: max -FM t,x ≤FM max ;

[0114] P max is a preset maximum frequency change rate, P t,x is a frequency change rate corresponding to time t.u,t,x is the unbalanced power corresponding to the xth point when the disturbance occurs at time t, f0is the preset total rated frequency, J s,t is the total inertia of the system, P im,t is the preset disturbance power at time t, is the actual frequency modulation power of the xth point of the wind farm a at time t, ΔP c,t,x is the primary frequency modulation power of the energy storage device corresponding to the xth point at time t, N is the number of wind farms;

[0115] The frequency deviation constraint is: -Δf max ≤Δf t,x ≤Δf max ; Δf t,x =Δf t,x-1 +FM t,x τ;

[0116] Wherein, Δf t,x is the frequency deviation, Δf max is the preset maximum frequency deviation, τ is the preset step length;

[0117] The wind farm output constraint is:

[0118] Wherein, R w,a,t is the reserve power of the wind farm a at time t, α is the wind farm reserve rate, is the maximum output of the wind farm a at time t;

[0119] The power response constraint corresponding to the primary frequency modulation of the wind farm is:

[0120] Wherein, is the actual frequency modulation power of the xth point of the wind farm a corresponding to the disturbance at time t, is the primary frequency modulation power of the xth point of the wind farm a corresponding to the disturbance at time t, R w,a,t is the reserve power of the wind farm a at time t, T w,a is the primary frequency modulation time constant of the wind farm a, δ σ,a is the primary frequency modulation coefficient, Δf d is the frequency modulation dead zone, P w,a is the rated power of the wind farm a.

[0121] The power response constraint corresponding to the primary frequency modulation of the energy storage device is:

[0122] Wherein, ΔP c,t,x is the primary frequency modulation power of the energy storage device corresponding to the xth point after the disturbance at time t, T c is the first-order inertia time constant of the energy storage device, δσ,c is the primary frequency modulation coefficient of the energy storage device, P n is the rated power of the energy storage device;

[0123] The energy storage device capacity constraint is: t+1 = C t + η SS1 P SS1,t τ - P SS2,t τ / η SS2 ; C min ≤ C t ≤ C n ;

[0124] wherein C t is the energy storage capacity corresponding to time t, η SS1 is the charging efficiency, P SS1,t is the charging power of the energy storage device corresponding to time t, P SS2,t is the discharging power of the energy storage device corresponding to time t, η SS2 is the discharging efficiency, C min is the preset minimum capacity of the energy storage device, C n is the rated capacity of the energy storage device;

[0125] The energy storage device frequency modulation power limit constraint is: 0 ≤ ΔP z,t,x ≤ K max P new,t - P SS2,t + P SS1,t ;

[0126] wherein ΔP z,t,x is the total frequency modulation power of the energy storage device corresponding to time t at point x; J c,t is the inertia time constant, K max is the maximum charging and discharging power of the energy storage device, P new,t is the instantaneous

[0127] In a preferred embodiment, the energy storage device operation constraint further comprises an energy storage device power constraint, which is:

[0128] wherein ΔP z,t,x is the total frequency modulation power of the energy storage device corresponding to time t at point x, and T is a preset time period.

[0129] In another preferred embodiment, the energy storage power station is used to support frequency stability, and the energy storage device power constraint is as follows:

[0130] In the formula: Total frequency modulation power provided for the xth energy storage power station after the t period of disturbance.

[0131] Illustratively, in order to improve the stability of the system, the application establishes the corresponding frequency stability constraints (including frequency change rate constraints and frequency deviation constraints) for the energy storage configuration optimization model, which can ensure that the frequency of the system can be maintained within a stable range after the wind power is connected to the power system, avoiding the adverse effects of excessive frequency fluctuations on the safe and stable operation of the power grid. That is, by limiting the power response of the wind farm and the energy storage device during frequency modulation, the frequency fluctuations of the system can be more effectively controlled, and the frequency stability of the overall system can be improved.

[0132] In order to optimize the utilization rate of the energy storage device, the application also considers the operation constraints of the energy storage device (such as capacity constraints, frequency modulation power limit constraints, etc.), which can ensure that the energy storage device can fully play its role when participating in frequency modulation, and will not be damaged due to overload, thereby optimizing the utilization rate and service life of the energy storage device. When the subsequent charging and discharging power of the energy storage device is solved, the optimal target charging power and target discharging power can be obtained, which can make the energy storage device meet the system frequency modulation demand while also meeting its charging and discharging efficiency and life requirements.

[0133] Therefore, the energy storage configuration optimization model constructed by the embodiments of the application not only meets the system frequency modulation demand, but also considers factors such as investment cost and operation cost of the energy storage device, thereby reducing the operation cost of the entire system under the premise of ensuring stable operation of the system.

[0134] In a preferred embodiment, as shown in the flowchart of the solution of the energy storage optimization configuration in FIG. 2, the application can construct the energy storage configuration optimization model, and since there is a close relationship between the frequency and active power balance of the offshore wind farm, the transient stability constraints can be obtained based on the wind farm frequency stability constraints, the network type wind farm frequency response constraints, and the construction of the network type energy storage power station frequency response, thereby the system frequency support, the energy storage configuration cost, and the energy storage device life cycle and loss can be considered comprehensively to construct the energy storage configuration optimization model with the minimum cost as the target, thereby ensuring the rationality of the energy storage optimization configuration without conventional power inertia support.

[0135] For step S3, in one preferred embodiment, in order to find a configuration scheme of the energy storage device so that the total cost is minimized under the premise of meeting various constraint conditions, the wind farm operation constraint, the energy storage device operation constraint, the frequency stability constraint and the power balance constraint can be obtained, so as to solve the energy storage configuration optimization model under these constraint conditions, find a set of optimal energy storage device configuration parameters (such as energy storage capacity, charging and discharging strategy, etc.), so that the total cost (including investment cost, operation and maintenance cost, energy loss cost, etc.) of the energy storage device is minimized under the premise of meeting all constraint conditions.

[0136] Illustratively, in the solving process, the target charging power and the target discharging power of the energy storage device at each time can be generated, that is, the key control variables for achieving the total cost minimization target can be obtained.

[0137] In one preferred embodiment, the solving process can use complex mathematical optimization algorithms such as linear programming, nonlinear programming, dynamic programming, genetic algorithm, etc., so that the optimal solution can be searched in a multi-dimensional constraint space, so that the optimal solution can guide the actual operation of the energy storage device, so as to realize the frequency stability of the wind farm and the economic and efficient energy storage configuration.

[0138] For step S4, in one preferred embodiment, based on each optimal target charging power and each optimal target discharging power obtained by solving step S3, the actual charging power and the actual discharging power of the energy storage device at each time can be configured.

[0139] Specifically, in actual operation, the charging and discharging power of the energy storage device is monitored and adjusted in real time according to the real-time operation of the energy storage device, that is, the optimal target charging power and the optimal target discharging power corresponding to each time are used as its charging and discharging strategy, so as to adjust its charging and discharging strategy according to the state (such as SOC, temperature, etc.) of the energy storage device.

[0140] As shown in FIG. 3, based on the above-mentioned various embodiments of the energy storage configuration method suitable for the energy storage device participating in the frequency modulation of the wind farm, the present application correspondingly provides device embodiment;

[0141] An embodiment of the present application provides an energy storage configuration device suitable for an energy storage device participating in frequency modulation of a wind farm, comprising: an energy storage device operation cost model construction module, an energy storage configuration optimization model construction module, a model solving module and an energy storage device configuration module.

[0142] The energy storage device operation cost model construction module is configured to generate a present value coefficient for operation and maintenance cost evaluation of the energy storage device according to a life cycle of the energy storage device participating in frequency regulation of the wind farm and a discount rate of the energy storage device, and then construct an energy storage device operation cost model according to the present value coefficient, a rated power of the energy storage device, and an annual operation and maintenance cost of the energy storage device.

[0143] The energy storage configuration optimization model construction module is configured to construct an energy storage configuration optimization model with a minimum total cost as an objective according to loss cost data of the energy storage device, construction cost data of the energy storage device, operation cost data of the wind farm, and the energy storage device operation cost model, wherein the energy storage configuration optimization model includes wind farm operation constraints, energy storage device operation constraints, frequency stability constraints between the offshore wind farm and the energy storage device, and power balance constraints between the offshore wind farm and the energy storage device.

[0144] The model solving module is configured to solve the energy storage configuration optimization model under the wind farm operation constraints, the energy storage device operation constraints, the frequency stability constraints, and the power balance constraints to generate target charging power and target discharging power of the energy storage device at each time point when the total cost is minimum.

[0145] The energy storage device configuration module is configured to configure actual charging power and actual discharging power of the energy storage device at each time point according to the target charging power and the target discharging power.

[0146] It should be noted that the apparatus embodiments described above are merely illustrative, wherein the modules described as separate components can or can not be physically separated, and the components displayed as modules can or can not be physical modules, which can be located in one place or distributed on multiple network modules. Part or all of the modules can be selected to achieve the purpose of the embodiment according to actual needs. In addition, the connection relationship between the modules in the apparatus embodiment provided by the present application indicates that there is a communication connection between them, which can be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement it without creative labor.

[0147] Those skilled in the art can clearly understand that, for the convenience and brevity, the specific working process of the apparatus described above can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0148] On the basis of the various energy storage configuration methods suitable for the energy storage device participating in frequency regulation of the wind farm described above, the present application correspondingly provides terminal device embodiments.

[0149] An embodiment of the present application provides a terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements a kind of energy storage configuration method suitable for energy storage device participating in frequency modulation of wind farm when executing the computer program.

[0150] The terminal device can be a desktop computer, a notebook computer, a palm computer and a cloud server, etc.

[0151] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0152] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling data stored in the memory.

[0153] Based on the above various embodiments of the energy storage configuration method suitable for energy storage device participating in frequency modulation of wind farm, the present application correspondingly provides a storage medium embodiment.

[0154] An embodiment of the present application provides a storage medium, the storage medium comprising a stored computer program, wherein the computer readable storage medium is controlled to perform a storage energy configuration method suitable for a storage energy device participating in frequency modulation of a wind power plant according to any one of the method embodiments of the present application when the computer program is running.

[0155] The storage medium is a computer readable storage medium, the computer program is stored in the computer readable storage medium, and the computer program can implement the steps of each method embodiment when the computer program is executed by a processor. The computer program includes computer program code, which can be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal and a software distribution medium, etc. It should be noted that the content included in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in a jurisdiction, for example, in some jurisdictions, according to legislation and patent practice, the computer readable medium does not include an electrical carrier signal and a telecommunication signal.

[0156] The above is the preferred embodiment of the present application, and it should be pointed out that for ordinary skilled persons in the technical field, some improvements and refinements can be made without departing from the principles of the present application, and these improvements and refinements are also regarded as the protection scope of the present application.

Claims

1. A method for configuring energy storage devices to participate in frequency regulation in wind farms, characterized in that, The method comprises the following steps: According to the life cycle of the energy storage device participating in the frequency modulation of the wind farm and the discount rate of the energy storage device, a present value coefficient of the energy storage device for operation and maintenance cost evaluation is generated; then, according to the present value coefficient, the rated power of the energy storage device and the annual operation and maintenance cost of the energy storage device, an energy storage device operation cost model is constructed; According to the loss cost data of the energy storage device, the construction cost data of the energy storage device, the operation cost data of the wind farm and the energy storage device operation cost model, an energy storage configuration optimization model with the minimum total cost as the target is constructed; wherein, the energy storage configuration optimization model comprises: wind farm operation constraints, energy storage device operation constraints, frequency stability constraints between offshore wind farms and energy storage devices, and power balance constraints between offshore wind farms and energy storage devices; Under the wind farm operation constraints, energy storage device operation constraints, frequency stability constraints and power balance constraints, the energy storage configuration optimization model is solved to generate the target charging power and target discharging power of the energy storage device at each time corresponding to the minimum total cost; According to each target charging power and each target discharging power, the actual charging power and actual discharging power of the energy storage device corresponding to each time are configured.

2. The energy storage configuration method for participating in the frequency modulation of a wind farm by an energy storage device according to claim 1, characterized in that, The method comprises the following steps: According to the ratio of the rated cycle number of the energy storage device to the actual rated cycle number of the energy storage device, a conversion coefficient corresponding to the cycle number is determined; According to the actual rated cycle number of the energy storage device, the depth of charge and discharge, the rated capacity of the energy storage device, the annual discharge amount, the annual discharge number of the energy storage device and the conversion coefficient, the life cycle corresponding to the energy storage device is generated; According to the life cycle corresponding to the energy storage device and the preset discount rate, the present value coefficient of the energy storage device for operation and maintenance cost evaluation is generated.

3. The energy storage configuration method for participating in the frequency modulation of a wind farm by an energy storage device according to claim 2, characterized in that, The method comprises the following steps: According to the annual operation and maintenance cost of the energy storage unit power and the rated power of the converter in the energy storage device, the annual operation and maintenance cost of the converter in the energy storage device is generated; According to the annual operation and maintenance cost of the energy storage unit capacity and the energy storage capacity corresponding to each time, the annual operation and maintenance cost of the energy storage capacity is generated; Based on the present value coefficient, the annual operation and maintenance cost of the converter and the annual operation and maintenance cost of the energy storage capacity, the energy storage device operation cost model is constructed.

4. The energy storage configuration method for participating in the frequency modulation of a wind farm by an energy storage device according to claim 3, characterized in that, The energy storage device operation cost model is constructed according to the following formula: S ope = (λ ope,p P r + 2λ ope,e C t )ψ; where S ope is the operating cost of the energy storage device, λ ope,p is the annual operating and maintenance cost per unit of power of the energy storage, P r is the rated power of the converter in the energy storage device, λ ope,e is the annual operating and maintenance cost per unit of capacity of the energy storage, C t is the energy storage capacity corresponding to t, ψ is the present value coefficient, Y is the life cycle, μ is the discount rate, N s is the actual rated cycle number of the energy storage device, D OD is the charge and discharge depth, D SS is the rated capacity of the energy storage, θ is the conversion coefficient, D d,i is the discharge amount of the i-th discharge stage on the d-th day, n is the number of discharges on the d-th day.

5. The energy storage configuration method for participating in the frequency modulation of a wind farm of claim 4, wherein, The method comprises the following steps: According to the following formula, the energy storage configuration optimization model is constructed: S min = S ope + S loss,abs + S in + S s ; S loss,abs = S loss - S di ; S in = λ p P r + 2λ e C n ; S s = S q + S r + S t ; S min is the total cost corresponding to the energy storage configuration optimization model, S ope is the energy storage device operation cost model, S loss,abs is the energy storage device loss cost model, S in is the energy storage device construction cost model, S s is the wind farm operation cost model, S loss is the loss of electricity corresponding to the electricity sales cost, S di is the operation cost difference of the energy storage device in different operating states; λ p is the unit power cost of the converter, P r is the rated power of the converter, λ e is the unit capacity cost of the energy storage device, C n is the rated capacity of the energy storage device, S q is the offshore wind farm wind curtailment penalty cost, S r is the load shedding reserve cost; S t is the AC system support power cost.

6. The energy storage configuration method for participating in the frequency modulation of a wind farm by an energy storage device according to claim 5, characterized in that, The construction of the loss cost model of the energy storage device comprises the following steps: According to the annual discharge depth, the total discharge amount of the energy storage device under different charge and discharge depths and the rated capacity of the energy storage device, the loss power is generated; generate a power selling cost corresponding to the lost power according to the lost power and a power selling cost corresponding to a unit power; generate a difference in operation cost of the energy storage device in different operation states of the standard charging and discharging depth and the non-standard charging and discharging depth according to the discharging power corresponding to the standard charging and discharging depth and the non-standard charging and discharging depth respectively and a unit power cost; construct a loss cost model of the energy storage device based on the power selling cost corresponding to the lost power and the difference in operation cost of the energy storage device in different operation states.

7. The energy storage configuration method for energy storage devices participating in frequency modulation of a wind farm according to claim 6, characterized in that, The frequency stability constraint between the offshore wind farm and the energy storage device includes a frequency change rate constraint and a frequency deviation constraint; the wind farm operation constraint includes a wind farm output constraint and a power response constraint of the wind farm during primary frequency modulation; The power balance constraint between the offshore wind farm and the energy storage device is: P load,t = P out,t + P ac,t + P SS2,t - P waste,t - P SS1,t ; 0 ≤ P SS1,t ≤ θ t,1 P; 0 ≤ P SS2,t ≤ θ t,2 P; θ t,1 + θ t,2 ≤ 1; P load,t is a preset total power, P out,t is an output power corresponding to a t moment of the wind farm, P ac,t is an AC system support power at t moment, P SS2,t is a discharge power corresponding to a t moment of the energy storage device, P waste,t is a wind power abandonment at t moment, P SS1,t is a charging power corresponding to a t moment of the energy storage device, θ t,1 is an energy storage charging state variable, P is a peak power of the energy storage device, θ t,2 is an energy storage discharge state variable; The frequency change rate constraint is: -FM max ≤ FM t,x ≤ FM max ; wherein FM max is a preset maximum frequency variation rate, FM t,x is a frequency variation rate corresponding to time t, P u,t,x is an unbalanced power corresponding to the xth point when the disturbance occurs at time t, f0is a preset total rated frequency, J s,t is a total inertia of the system, P im,t is a preset disturbance power at time t, is the actual frequency modulation power of the xth point of the wind farm a at time t, ΔP c,t,x is the primary frequency modulation power of the xth point of the energy storage device at time t, and N is the number of wind farms. The frequency deviation constraint is: - Δf max ≤ Δf t,x ≤ Δf max ; Δf t,x = Δf t,x-1 + FM t,x τ; Wherein, Δf t,x is the frequency deviation, Δf max is the preset maximum frequency deviation, and τ is the preset step length. The wind farm output constraint is: wherein R w,a,t is the reserve power of the wind farm a at time t, and a is the wind farm reserve rate, the maximum output of the wind farm a at time t; The power response constraint corresponding to primary frequency modulation of the wind farm is: wherein, the actual frequency modulation power corresponding to the xth point after the disturbance at time t for the wind farm a, P is the primary frequency modulation power of the xth point corresponding to the disturbance of the wind farm a at time t, R w,a,t T is the reserve power of the wind farm a at time t w,a is the primary frequency modulation time constant of the wind farm a, δ σ,a is the primary frequency modulation coefficient, Δf d is the frequency modulation dead zone, P w,a is the rated power of the wind farm a.

8. The energy storage configuration method suitable for energy storage devices participating in frequency modulation of a wind farm according to claim 7, characterized in that, The energy storage device operation constraint further includes a power response constraint of the energy storage device during primary frequency modulation, an energy storage device capacity constraint and an energy storage device frequency modulation power limit constraint; The power response constraint of the energy storage device corresponding to primary frequency modulation is: wherein ΔP c,t,x is the first-order frequency modulation power corresponding to the xth point of the energy storage device after the disturbance at time t, T c is the first-order inertia time constant of the energy storage device, δ σ,c is the first-order frequency modulation coefficient of the energy storage device, P n is the rated power of the energy storage device; The energy storage device capacity constraint is: C t+1 = C t + η SS1 P SS1,t τ-P SS2,t τ / η SS2 ; C min ≤C t ≤C n ; wherein C t is the energy storage capacity corresponding to time t, η SS1 is the charging efficiency, P SS1,t is the charging power corresponding to the energy storage device at time t, P SS2,t is the discharging power corresponding to the energy storage device at time t, η SS2 is the discharging efficiency, C min is the preset minimum capacity corresponding to the energy storage device, C n is the rated capacity of the energy storage device; The energy storage device regulates the frequency power limit constraint as: 0 < ΔP z,t,x ≤ K max P new,t -P SS2,t +P SS1,t ; wherein ΔP z,t,x is the total frequency modulation power corresponding to the energy storage device at point x at time t; J c,t is the inertia time constant, K max is the maximum charge and discharge power of the energy storage, P new,t is the instantaneous power of the energy storage device at time t.

9. A storage configuration device suitable for energy storage device participating in wind farm frequency modulation, characterized in that, including: An energy storage device operation cost model construction module, an energy storage configuration optimization model construction module, a model solving module and an energy storage device configuration module; The energy storage device operation cost model construction module is configured to generate a present value coefficient for operation and maintenance cost evaluation of the energy storage device according to a life cycle of the energy storage device for participating in wind farm frequency modulation and a discount rate of the energy storage device, and then construct an energy storage device operation cost model according to the present value coefficient, a rated power of the energy storage device and an annual operation and maintenance cost of the energy storage device; The energy storage configuration optimization model construction module is configured to construct an energy storage configuration optimization model with a minimum total cost as the target according to loss cost data of the energy storage device, construction cost data of the energy storage device, operation cost data of the wind farm and the energy storage device operation cost model; wherein the energy storage configuration optimization model includes a wind farm operation constraint, an energy storage device operation constraint, a frequency stability constraint between the offshore wind farm and the energy storage device and a power balance constraint between the offshore wind farm and the energy storage device; The model solving module is configured to solve the energy storage configuration optimization model under the wind farm operation constraint, the energy storage device operation constraint, the frequency stability constraint and the power balance constraint to generate target charging power and target discharging power of the energy storage device corresponding to each time when the total cost is minimum; The energy storage device configuration module is configured to configure actual charging power and actual discharging power of the energy storage device corresponding to each time according to each target charging power and each target discharging power.

10. A terminal device, comprising: A processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implements the energy storage configuration method for participating in wind farm frequency modulation of any one of claims 1-8 when executing the computer program.

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