New energy primary frequency modulation control parameter setting method and system

Abstract

The invention provides a new energy primary frequency modulation control parameter setting method and system, and the method comprises the steps: calculating a first sensitive interval of a new energy frequency modulation coefficient under different new energy output proportions through an established first function relation, determining an initial value of the first sensitive interval as an initial value of the frequency modulation coefficient, and determining the initial value of the frequency modulation coefficient based on an established second function relation. Calculating a second sensitive interval of a new energy primary frequency modulation dead zone under different new energy output proportions, determining a stop value of the second sensitive interval as an initial value of the primary frequency modulation dead zone, and substituting the initial value of the frequency modulation coefficient and the initial value of the primary frequency modulation dead zone into the power system simulation model, and performing iterative optimization based on the first sensitive interval and the second sensitive interval to obtain an optimized frequency modulation coefficient and a primary frequency modulation dead zone, verifying the optimized frequency modulation coefficient and the primary frequency modulation dead zone with a recommended standard range, and outputting a target frequency modulation coefficient and a target primary frequency modulation dead zone. The new energy primary frequency modulation key parameters can be flexibly and rapidly set in different power system operation scenes.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of new energy grid-connected operation control, in particular to a new energy primary frequency modulation control parameter setting method and system. BACKGROUND

[0002] In the new power system, new energy gradually becomes the main installed capacity, the main power and electricity supply, and the main reliable power supply. Thermal power is accelerating the transformation to become a "safety bottom" and a "regulation support" power source. At present, with the further promotion of the new power system, the installed capacity and output proportion of new energy will be further improved, and its participation in power system frequency regulation is imperative and has been piloted in many regional power grids in China. To make new energy generation gradually assume the responsibility of the main power source in power grid frequency regulation, it is necessary to realize the coordination of new energy primary frequency modulation and existing frequency modulation resources in the grid.

[0003] After large-scale new energy access, due to the increase in source output uncertainty, the power system operation mode is complex and changeable. At the same time, the grid-connected characteristics of new energy are determined by the control system, which is closely related to the steady-state operating point. The randomness of resource fluctuation, the arrangement of system operation mode, etc. will have a great impact on the stability of the disturbed system. In order to improve the system frequency prevention and control capability under the complex and changeable operation scenario of high proportion of new energy power system, the plasticity, flexibility and rapidity of new energy frequency modulation control of power electronic interface should be fully utilized. Through the optimization of new energy primary frequency modulation control parameter setting under different grid scenarios, the new energy primary frequency modulation capability can be fully utilized under different scenarios, and it can be coordinated with other conventional resources in the grid. In this way, the new energy station participating in system frequency regulation can "exchange energy for performance improvement", so as to realize the dual goals of improving system frequency prevention and control capability and efficient consumption of new energy.

[0004] In the process of optimizing the setting of new energy primary frequency modulation control parameters, due to the consideration of many factors and the interweaving of each factor, it is difficult to grasp the main contradiction, which may cause the new energy frequency modulation characteristics to be different due to unclear demand and target and large parameter value setting, and further reduce the coordination between new energy and conventional power supply in the primary frequency modulation time scale, affect the efficient consumption of new energy, and in serious cases, may even cause system power oscillation and other stability problems.

[0005] Therefore, how to flexibly and quickly set the key parameters of new energy primary frequency modulation under different power system operation scenarios is of great significance. SUMMARY

[0006] In order to solve the problem that the prior art cannot flexibly and quickly set the key parameters of new energy primary frequency modulation under different power system operation scenarios, the present application proposes a new energy primary frequency modulation control parameter setting method and system.

[0007] Firstly, a method for tuning primary frequency regulation control parameters of a new energy source is provided, including: Based on the established first functional relationship, the first sensitive interval of the new energy frequency regulation coefficient under different new energy output ratios is calculated, and the starting value of the first sensitive interval is determined as the initial value of the frequency regulation coefficient. The first functional relationship is a pre-established functional relationship between the time for the system to reach the maximum frequency difference after disturbance, the new energy output ratio, and the new energy frequency regulation coefficient. The starting value of the first sensitive interval is the minimum value of the first sensitive interval. Based on the established second functional relationship, the second sensitive interval of the primary frequency regulation dead zone of new energy under different new energy output ratios is calculated, and the termination value of the second sensitive interval is determined as the initial value of the primary frequency regulation dead zone. The second functional relationship is a pre-established functional relationship between the maximum frequency difference of the system after disturbance, the output ratio of new energy, and the primary frequency regulation dead zone of new energy. The termination value of the second sensitive interval is the maximum value of the second sensitive interval. Substitute the initial values ​​of the frequency regulation coefficient and the primary frequency regulation dead zone into the power system simulation model, and perform iterative optimization based on the first sensitive interval and the second sensitive interval to obtain the optimized frequency regulation coefficient and the primary frequency regulation dead zone. The optimized frequency modulation coefficient and primary frequency modulation dead zone are verified against the recommended standard range, and the target frequency modulation coefficient and target primary frequency modulation dead zone are output.

[0008] Secondly, a new energy primary frequency regulation control parameter tuning system is provided, including... The first calculation module is used to calculate the first sensitive interval of the frequency regulation coefficient of new energy under different proportions of new energy output based on the established first functional relationship, and to determine the initial value of the first sensitive interval as the initial value of the frequency regulation coefficient. The first functional relationship is a pre-established functional relationship between the time for the system to reach the maximum frequency difference after disturbance, the proportion of new energy output, and the frequency regulation coefficient of new energy. The initial value of the first sensitive interval is the minimum value of the first sensitive interval. The second calculation module is used to calculate the second sensitive interval of the primary frequency regulation dead zone of new energy under different new energy output ratios based on the established second functional relationship, and to determine the termination value of the second sensitive interval as the initial value of the primary frequency regulation dead zone. The second functional relationship is a pre-established functional relationship between the maximum frequency difference of the system after disturbance, the output ratio of new energy, and the primary frequency regulation dead zone of new energy. The termination value of the second sensitive interval is the maximum value of the second sensitive interval. The optimization module is used to substitute the initial value of the frequency regulation coefficient and the initial value of the primary frequency regulation dead zone into the power system simulation model, and perform iterative optimization based on the first sensitive interval and the second sensitive interval to obtain the optimized frequency regulation coefficient and the primary frequency regulation dead zone. The verification module is used to verify the optimized frequency modulation coefficient and primary frequency modulation dead zone against the recommended standard range, and outputs the target frequency modulation coefficient and target primary frequency modulation dead zone.

[0009] In another aspect, this application also provides an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, a method for setting primary frequency regulation control parameters for new energy sources as described above is implemented.

[0010] In another aspect, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed, implements a method for setting primary frequency regulation control parameters for new energy sources as described above.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention provides a method and system for tuning primary frequency regulation control parameters for renewable energy sources. The method calculates the first sensitive interval of the renewable energy frequency regulation coefficient under different renewable energy output ratios using a first functional relationship, and determines the initial value of the first sensitive interval as the initial value of the frequency regulation coefficient. Based on a second functional relationship, it calculates the second sensitive interval of the primary frequency regulation dead zone for renewable energy sources under different renewable energy output ratios, and determines the ending value of the second sensitive interval as the initial value of the primary frequency regulation dead zone. Substituting the initial values ​​of the frequency regulation coefficient and the primary frequency regulation dead zone into a power system simulation model, iterative optimization is performed based on the first and second sensitive intervals to obtain the optimized frequency regulation coefficient and primary frequency regulation dead zone. Finally, the optimized frequency regulation coefficient and primary frequency regulation range are verified against the recommended standard range, and the target frequency regulation coefficient and target primary frequency regulation dead zone are output. This enables flexible and rapid tuning of key parameters for primary frequency regulation of renewable energy sources under different power system operating scenarios. Attached Figure Description

[0012] Figure 1 This is a flowchart of a method for setting primary frequency regulation control parameters for new energy sources according to the present invention; Figure 2 This is a schematic diagram illustrating the analysis results of the relationship between the maximum frequency difference time, the frequency regulation coefficient, and the output ratio in a new energy primary frequency regulation control parameter tuning method according to the present invention. Figure 3 This is a schematic diagram illustrating the analysis results of the relationship between the maximum frequency difference, dead zone, and frequency regulation output ratio in a new energy primary frequency regulation control parameter tuning method of the present invention. Figure 4 This is a schematic diagram of the system frequency simulation curves under different new energy frequency regulation coefficients for a new energy primary frequency regulation control parameter tuning method according to the present invention. Figure 5 This is a schematic diagram of the system frequency simulation curves under different new energy primary frequency regulation dead zones for a new energy primary frequency regulation control parameter tuning method according to the present invention. Figure 6 This is a schematic diagram of the structure of a new energy primary frequency regulation control parameter tuning system according to the present invention; Figure 7 This is a schematic diagram of an electronic device structure according to the present invention. Detailed Implementation

[0013] This invention proposes a method and system for tuning control parameters of primary frequency regulation for renewable energy sources. Addressing the commonly used frequency-active power droop control mode for primary frequency regulation of renewable energy sources, the method first obtains the sensitive range of the primary frequency regulation dead zone and frequency regulation coefficient for renewable energy sources under different renewable energy output ratios by establishing a mathematical relationship between the renewable energy primary frequency regulation dead zone, frequency regulation coefficient, and the maximum frequency difference of the grid after disturbance. This significantly narrows the range of required optimization parameter values. Then, the initial value or termination value of the sensitive range is determined as its initial value. With the goal of minimizing the maximum frequency difference of the system under the same disturbance, the frequency regulation dead zone and frequency regulation coefficient are optimized and tuned within the parameter sensitive range. This allows renewable energy participation in primary frequency regulation to simultaneously achieve the dual objectives of efficient absorption and coordination with grid resources.

[0014] To better understand the present invention, the following description, in conjunction with the accompanying drawings and embodiments, will further illustrate the content of the present invention.

[0015] Example 1: A method for tuning primary frequency regulation control parameters of a new energy source, such as Figure 1 As shown, it includes: Step 1: Calculate the first sensitive interval of the frequency regulation coefficient of new energy under different proportions of new energy output based on the established first functional relationship, and determine the starting value of the first sensitive interval as the initial value of the frequency regulation coefficient; Step 2: Based on the established second function relationship, calculate the second sensitive interval of the primary frequency regulation dead zone of new energy under different new energy output ratios, and determine the termination value of the second sensitive interval as the initial value of the primary frequency regulation dead zone; Step 3: Substitute the initial value of the frequency regulation coefficient and the initial value of the primary frequency regulation dead zone into the power system simulation model, and perform iterative optimization based on the first sensitive interval and the second sensitive interval to obtain the optimized frequency regulation coefficient and the primary frequency regulation dead zone; Step 4: Verify the optimized frequency modulation coefficient and primary frequency modulation dead zone against the recommended standard range, and output the target frequency modulation coefficient and target primary frequency modulation dead zone.

[0016] The first functional relationship is a pre-established functional relationship between the time it takes for the system to reach its maximum frequency difference after a disturbance, the proportion of renewable energy output, and the frequency regulation coefficient of renewable energy. The starting value of the first sensitive interval is the minimum value of the first sensitive interval. The second functional relationship is a pre-established functional relationship between the maximum frequency difference of the system after a disturbance, the proportion of renewable energy output, and the primary frequency regulation dead zone of renewable energy. The ending value of the second sensitive interval is the maximum value of the second sensitive interval.

[0017] In this embodiment, when calculating the first sensitive interval of the renewable energy frequency regulation coefficient under different renewable energy output ratios in step 1 based on the established first functional relationship, in order to further reflect the functional relationship between the renewable energy output ratio and the renewable energy frequency regulation coefficient, the first functional relationship can be converted into a first functional form, and the sensitive interval can be accurately determined by changing the values ​​of the renewable energy output ratio and the renewable energy frequency regulation coefficient respectively. Specifically, this includes: Based on the power system operation scenario, the conventional parameters are set to fixed values, and the first function relationship is converted into the first function form. The conventional parameters include the load damping coefficient, the conventional unit droop coefficient, the turbine equivalent inertia time constant, and the system synchronous inertia constant. By keeping other parameters fixed, the values ​​of the proportion of new energy and the frequency regulation coefficient of new energy in the first function form are changed to obtain multiple parameter combinations. The maximum frequency difference time is calculated based on the combination of multiple parameters, and the rate of change of the maximum frequency difference time with the new energy frequency regulation coefficient and the proportion of new energy under multiple parameter combinations is obtained. The parameter interval in which the rate of change is continuously greater than the preset sensitivity threshold is determined as the first sensitivity interval.

[0018] Specifically, the first functional relationship is as follows:

[0019] in, λ G As a conventional power source in the power system, λ N The proportion of power output from new energy sources; T The equivalent inertial time constant of the turbine; D This is the load damping coefficient; a These are the characteristic coefficients of the turbine. K N For the frequency regulation coefficient of new energy sources, H Δ is the system's synchronous inertial constant; P L The disturbance power; f dG This is a standard primary frequency modulation dead zone. f dN This is a dead zone for primary frequency regulation of new energy sources; f0 represents the frequency of the system before it was disturbed; S G This refers to the rated capacity of all conventional units in the system. t p R is the time it takes for the system to reach its maximum frequency difference after being disturbed, and R is the droop coefficient of a conventional unit.

[0020] Specifically, the first function takes the following form:

[0021] in, Indicates the time of maximum frequency difference. This represents the frequency regulation coefficient of new energy sources. This indicates the proportion of power output from new energy sources.

[0022] In one specific embodiment, the first functional relationship is transformed into a first functional form, in which the independent variable retains the new energy frequency regulation coefficient. K N and the proportion of new energy power output λ N In addition, the system's synchronous inertial constant H The primary frequency regulation dead zone of new energy sources is calculated using the inertia of synchronous generator units under typical start-up scenarios of the studied power system. f dG The primary frequency regulation dead zone value is assigned according to the conventional power source with the dominant start-up capacity in the power system under study. R , T , D , a The parameters should be set according to the recommended parameters in the national standard. λ G =1- λ N .

[0023] Then calculate different λ N and K N The time to reach maximum frequency difference after the power system is disturbed t p , obtain K N The sensitive interval is defined, and the initial value of the sensitive interval is taken as its initial value; if K N If the initial value is greater than the recommended range given in the national standards GB / T19963-2021 "Technical Specifications for Wind Farm Access to Power Systems Part 1: Onshore Wind Power" and GB / T19964-2024 "Technical Specifications for Photovoltaic Power Station Access to Power Systems", then... K N The initial value is taken as the reciprocal of the droop rate of the thermal power unit with the largest installed capacity in the power system under study, i.e.K N =1 / δ %,in, δ % represents the droop rate of thermal power units.

[0024] In this embodiment, during step 2, when calculating the second sensitive interval of the primary frequency regulation dead zone of new energy under different new energy output ratios based on the established second functional relationship, in order to further reflect the functional relationship between the primary frequency regulation dead zone of new energy and the output ratio of new energy, the second functional relationship can be converted into a second functional form, thereby changing the values ​​of the output ratio of new energy and the primary frequency regulation dead zone of new energy respectively, to achieve accurate confirmation of the sensitive interval. Specifically, this includes: Based on the power system operation scenario, the conventional parameters are set to fixed values, and the second function relationship is converted into a second function form. The conventional parameters include the load damping coefficient, the conventional unit droop coefficient, the turbine equivalent inertia time constant, and the system synchronous inertia constant. By keeping other parameters fixed, and changing the proportion of new energy output and the value of the primary frequency regulation dead zone of new energy in the second function form, multiple parameter combinations are obtained. The maximum frequency difference is calculated based on the combination of multiple parameters. The rate of change of the maximum frequency difference under multiple parameter combinations with the dead zone of primary frequency regulation of new energy and the proportion of new energy output is obtained. The parameter interval in which the rate of change is continuously greater than the preset sensitive threshold is determined as the second sensitive interval.

[0025] Specifically, the second functional relationship is as follows:

[0026] in, λ G As a conventional power source in the power system, λ N The proportion of power output from new energy sources; T The equivalent inertial time constant of the turbine; D This is the load damping coefficient; a These are the characteristic coefficients of the turbine. K N For the frequency regulation coefficient of new energy sources, H Δ is the system's synchronous inertial constant; P L The disturbance power; f dG This is a standard primary frequency modulation dead zone. f dN This is a dead zone for primary frequency regulation of new energy sources; f 0 represents the frequency of the system before it was disturbed; S G This refers to the rated capacity of all conventional units in the system. tp The time it takes for the system to reach its maximum frequency deviation after being disturbed, R is the droop coefficient of a conventional unit, and Δ f max This is the maximum frequency difference the system reaches after being disturbed.

[0027] Specifically, the second function takes the following form:

[0028] Where, Δ f max Indicates the maximum frequency difference. f dN This indicates the primary frequency regulation dead zone of new energy sources. This indicates the proportion of power output from new energy sources.

[0029] In one specific embodiment, the second functional relationship is converted into a second functional form, in which the independent variable retains the primary frequency regulation dead zone of the new energy source. f dN and the proportion of power output from new energy sources λ N External parameters H The inertia of the synchronous generator set under typical start-up scenarios of the power system under study was used to calculate the value. f dG The primary frequency regulation dead zone value is assigned according to the conventional power source with the dominant start-up capacity in the power system under study. f 0 is set to 50Hz; R The parameters should be set according to the recommended parameters in the national standard. t p for K N The corresponding value calculated under the initial value.

[0030] Then calculate different λ N and f dN The maximum frequency difference Δ after the power system is disturbed f max , obtain f dN The sensitive interval is defined, and the termination value of the sensitive interval is taken as its initial value; if f dN If the initial value is less than the recommended range given in the national standards GB / T19963-2021 "Technical Specifications for Wind Farm Access to Power System Part 1: Onshore Wind Power" and GB / T19964-2024 "Technical Specifications for Photovoltaic Power Station Access to Power System", then the minimum value of the recommended range in the national standards shall be used as its initial value.

[0031] In this embodiment, after calculating the initial values ​​of the new energy frequency regulation coefficient and the initial value of the new energy primary frequency regulation dead zone in steps 1 and 2, iterative optimization can be performed in the power system simulation model based on the initial values ​​and their corresponding sensitive intervals in step 3, thereby obtaining the optimized frequency regulation coefficient and the primary frequency regulation dead zone, which specifically includes: An optimized first frequency modulation dead zone is generated by iterative optimization through simulation within the second sensitive interval corresponding to the first frequency modulation dead zone at equal step sizes. Similarly, an optimized frequency modulation coefficient is generated by iterative optimization through simulation within the first sensitive interval corresponding to the frequency modulation coefficient at equal step sizes.

[0032] The iterative optimization objective is that the absolute rate of change of the maximum frequency difference of the system under the same disturbance is less than a preset threshold.

[0033] In one specific embodiment, the initial values ​​of the primary frequency regulation dead zone and frequency regulation dead zone parameters of the new energy source are substituted into the power system simulation model under study. The parameter values ​​are increased or decreased by a constant step of 10% of the initial parameter value. Following the order of first regulating the frequency regulation dead zone and then the frequency regulation coefficient, the maximum frequency difference of the system after being subjected to the same power deficit disturbance is calculated based on the time domain simulation. With the goal of the absolute change rate of the maximum frequency difference of the system under the same disturbance being less than 5%, the parameters are optimized and tuned within the sensitive interval of each parameter, thereby obtaining the optimized primary frequency regulation dead zone and the optimized frequency regulation coefficient.

[0034] In this embodiment, after obtaining the optimized frequency modulation coefficients and primary frequency modulation dead zone through iterative optimization in step 3, the optimized frequency modulation coefficients and primary frequency modulation dead zone can be verified against the recommended standard range to obtain the final frequency modulation coefficients and primary frequency modulation dead zone, which specifically includes: When the optimized frequency modulation coefficient and primary frequency modulation dead zone exceed the recommended standard range, the upper limit of the recommended standard range is used as the target frequency modulation coefficient and target primary frequency modulation dead zone, respectively, and output; or, When the optimized frequency modulation coefficient and the primary frequency modulation dead zone are less than the recommended standard range, the lower limit of the recommended standard range is taken as the target frequency modulation coefficient and the target primary frequency modulation dead zone, respectively, and output.

[0035] In one specific embodiment, if the optimized primary frequency regulation dead zone and frequency regulation coefficient of the renewable energy source are greater than the recommended range given by the national standards GB / T19963-2021 "Technical Regulations for Wind Farm Access to Power Systems Part 1: Onshore Wind Power" and GB / T19964-2024 "Technical Regulations for Photovoltaic Power Station Access to Power Systems", then the upper limit of the recommended range of the national standards is used as the optimized parameter value. If the optimized primary frequency regulation dead zone and frequency regulation coefficient of the renewable energy source are less than the recommended range given by the national standards GB / T19963-2021 "Technical Regulations for Wind Farm Access to Power Systems Part 1: Onshore Wind Power" and GB / T19964-2024 "Technical Regulations for Photovoltaic Power Station Access to Power Systems", then the lower limit of the recommended range of the national standards is used as the optimized parameter value.

[0036] Compared with the prior art, the present invention has the following advantages: (1) In the prior art, the primary frequency regulation dead zone and frequency regulation coefficient of new energy are based on a certain operating scenario and mode of the power system, and are set with reference to conventional generator sets. That is, the primary frequency regulation capability of new energy is considered to be the same as that of conventional synchronous generator sets. This weakens the advantage of the speed of new energy frequency regulation control of the power electronic interface, and cannot give full play to the plasticity and flexibility of new energy primary frequency regulation control. The method described in this invention can flexibly and quickly set the key parameters of primary frequency regulation of new energy according to different operating scenarios and modes of the power system, so that its frequency regulation capability can be maximized under different scenarios and modes. Moreover, the operation process is simple and effective, and has good prospects for engineering application.

[0037] (2) With the continuous increase in the penetration rate of new energy in the power system, new energy is gradually shifting to take on the main responsibility in the process of system frequency regulation. In actual engineering, the evolution is usually that the frequency regulation sequence of new energy is moved forward, and the frequency regulation performance is maximized, so that thermal power is accelerating its transformation into a "safety backup and regulation support" power source. Although the existing national standards GB / T19963-2021 "Technical Regulations for Wind Farm Access to Power System Part 1: Onshore Wind Power" and GB / T19964-2024 "Technical Regulations for Photovoltaic Power Station Access to Power System" give the recommended range of primary frequency regulation dead zone and frequency regulation coefficient of new energy, the range is too broad and it is difficult to select the corresponding parameter group. This can easily lead to different frequency regulation characteristics of new energy due to the large difference in parameter value settings, which in turn reduces the coordination between new energy and conventional power sources within the primary frequency regulation time scale, affecting the efficient absorption of new energy. In severe cases, it may even cause stability problems such as system power oscillation. The method described in this invention can flexibly and significantly narrow the search range of frequency regulation control parameters according to the power system operation scenario and mode, enabling the primary frequency regulation capability of new energy sources to quickly adapt to complex and ever-changing power system operation scenarios and modes.

[0038] Example 2: The following will be combined with the appendix Figure 2 and attached Figure 3 The specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described are for illustrative purposes only and do not limit the scope of the invention. Those skilled in the art can make corresponding modifications and adjustments based on the present invention as needed, without departing from the essence and inventive features of the present invention.

[0039] To maximize the primary frequency regulation capability of renewable energy sources under different power grid operating scenarios, and to achieve performance improvements in exchange for reserved energy while ensuring synergy with other conventional resources within the grid, a method and system for tuning the primary frequency regulation control parameters of renewable energy sources are presented. A case study is provided below using a regional power grid as an example.

[0040] First, obtain the functional relationship between the time to the maximum frequency difference after the power system containing new energy is disturbed, the proportion of new energy output, and the primary frequency regulation coefficient of new energy: (3-1) In the formula, t p The time it takes for the system to reach its maximum frequency difference after being disturbed; H The system's synchronization inertial constant; T The equivalent inertial time constant of the turbine; D This is the load damping coefficient; a These are the characteristic coefficients of the turbine. λ G and λ N These represent the output proportions of conventional power sources and new energy sources in the power system, respectively; the gain of the conventional unit speed governor is 1 / R New energy power generation with pure gain K N Simplified representation, i.e. K N This is the frequency regulation coefficient for new energy sources.

[0041] Furthermore, in equation (3-1), the independent variable is reduced by 10% and 10% respectively. K N and λ N In addition, parameters were obtained by converting the inertia of synchronous generator sets under the typical mode of a power grid in the studied area. H= 8.5s f dG Based on the primary frequency regulation dead zone assignment of conventional power sources with dominant operating capacity in the studied power system, this is... f dG =0.033Hz; R , T , D , a The parameters should be set according to the recommended parameters in the national standard.R =0.05, T =6.0s, D =1%, a =0.333, λ G =1- λ N .

[0042] Furthermore, let Δ P L =3500MW, which translates to 0.025 pu per unit. Calculations differ. λ N and K N The time to reach maximum frequency difference after the power system is disturbed t p ,like Figure 2 As shown. From Figure 2 It can be seen from this that the time to reach the maximum frequency difference t p The proportion of power output from new energy sources λ N New energy frequency regulation coefficient K N Inversely proportional, K N ∈[10,25], t p right K N The changes are highly sensitive, and the degree of sensitivity increases with... λ N Increase and strengthen; K N ∈[25,60], t p against K N The sensitivity to change decreases, and the degree of sensitivity increases with... λ N Increases while decreasing. (In national standards) K N The recommended range is [10, 50]. Therefore, K N The initial value is 10.

[0043] Furthermore, the functional relationship between the maximum frequency deviation of the power system containing renewable energy after disturbance, the proportion of renewable energy output, and the dead zone of primary frequency regulation of renewable energy is obtained: (3-2) In the formula, Δ f max This represents the maximum frequency difference of the system after being disturbed. HThe system's synchronous inertia constant is 1 / R ;Δ P L The disturbance power; f dG and f dN These are the primary frequency regulation dead zones for new energy sources and conventional primary frequency regulation dead zones. f 0 represents the frequency of the system before the disturbance, typically 50Hz; S G This refers to the rated capacity of all conventional units in the system. t p Δ is the time it takes for the system to reach its maximum frequency difference after being disturbed. f max This is the maximum frequency difference the system reaches after being disturbed.

[0044] Furthermore, in equation (3-2), the independent variable is reduced by 10% and 10% respectively. f dN and λ N In addition, the inertia of the synchronous generator set under the typical start-up scenario of the power system under study was used to calculate the... H= 8.5s f dG The frequency regulation dead zone value is assigned based on the conventional power source with dominant operating capacity in the power system under study. f dG =0.033Hz; f 0 = 50Hz; R The parameters should be set according to the recommended parameters in the national standard. R =0.05; Let Δ P L =3500MW, which translates to a per-unit value of 0.025pu; combined with the previous step... t p The calculation results, the calculation of different λ N and f dN The maximum frequency difference Δ after the power system is disturbed f max ,like Figure 3 As shown. From Figure 3 As can be seen from this, the maximum frequency difference Δ f max The proportion of power output from new energy sources λ N New energy frequency modulation dead zone f dR Proportional to the frequency regulation coefficient of new energy sources K N Inversely proportional, fdN ∈[0.03,0.045], Δ f max right f dN The changes are highly sensitive and, with λ N Increase and strengthen; f dN ∈[0.045,0.1], Δ f max against f dN The sensitivity to change decreases, but the degree of sensitivity increases. λ N The trend of change has not changed significantly. (National Standards) f dN The recommended range is [0.03, 0.1]. Therefore, f dN The initial value is 0.045.

[0045] Furthermore, the initial values ​​of the primary frequency regulation dead zone and frequency regulation coefficient parameters of the new energy source are substituted into the power system simulation model under study, with Δ f dN =0.004 equal step size decrease f dN The system frequency simulation curve is as follows: Figure 4 As shown. From Figure 4 It can be seen from this that f dN The preferred value is 0.037Hz.

[0046] Furthermore, with Δ K N =1 equal step size increase K N The system frequency simulation curve is as follows: Figure 5 As shown. From Figure 5 It can be seen from this that K N The preferred value is 14.

[0047] Example 3: Based on the same inventive concept, this invention also provides a new energy primary frequency regulation control parameter tuning system, such as... Figure 6 As shown, it includes: The first calculation module is used to calculate the first sensitive interval of the frequency regulation coefficient of new energy under different proportions of new energy output based on the established first functional relationship, and to determine the initial value of the first sensitive interval as the initial value of the frequency regulation coefficient. The first functional relationship is a pre-established functional relationship between the time for the system to reach the maximum frequency difference after disturbance, the proportion of new energy output, and the frequency regulation coefficient of new energy. The initial value of the first sensitive interval is the minimum value of the first sensitive interval. The second calculation module is used to calculate the second sensitive interval of the primary frequency regulation dead zone of new energy under different new energy output ratios based on the established second functional relationship, and to determine the termination value of the second sensitive interval as the initial value of the primary frequency regulation dead zone. The second functional relationship is a pre-established functional relationship between the maximum frequency difference of the system after disturbance, the output ratio of new energy, and the primary frequency regulation dead zone of new energy. The termination value of the second sensitive interval is the maximum value of the second sensitive interval. The optimization module is used to substitute the initial value of the frequency regulation coefficient and the initial value of the primary frequency regulation dead zone into the power system simulation model, and perform iterative optimization based on the first sensitive interval and the second sensitive interval to obtain the optimized frequency regulation coefficient and the primary frequency regulation dead zone. The verification module is used to verify the optimized frequency modulation coefficient and primary frequency modulation dead zone against the recommended standard range, and outputs the target frequency modulation coefficient and target primary frequency modulation dead zone.

[0048] Preferably, the first sensitive interval for calculating the frequency regulation coefficient of new energy sources under different proportions of new energy output in the first calculation module based on the established first functional relationship includes: Based on the power system operation scenario, the conventional parameters are set to fixed values, and the first function relationship is converted into the first function form. The conventional parameters include the load damping coefficient, the conventional unit droop coefficient, the turbine equivalent inertia time constant, and the system synchronous inertia constant. By keeping other parameters fixed, the values ​​of the proportion of new energy and the frequency regulation coefficient of new energy in the first function form are changed to obtain multiple parameter combinations. The maximum frequency difference time is calculated based on the combination of multiple parameters, and the rate of change of the maximum frequency difference time with the new energy frequency regulation coefficient and the proportion of new energy under multiple parameter combinations is obtained. The parameter interval in which the rate of change is continuously greater than the preset sensitivity threshold is determined as the first sensitivity interval.

[0049] Preferably, the first function relationship in the first calculation module is as follows:

[0050] in, λ G As a conventional power source in the power system, λ NThe proportion of power output from new energy sources; T The equivalent inertial time constant of the turbine; D This is the load damping coefficient; a These are the characteristic coefficients of the turbine. K N For the frequency regulation coefficient of new energy sources, H Δ is the system's synchronous inertial constant; P L The disturbance power; f dG This is a standard primary frequency modulation dead zone. f dN This is a dead zone for primary frequency regulation of new energy sources; f 0 represents the frequency of the system before it was disturbed; S G This refers to the rated capacity of all conventional units in the system. t p R is the time it takes for the system to reach its maximum frequency difference after being disturbed, and R is the droop coefficient of a conventional unit.

[0051] Preferably, the first function in the first calculation module is in the form of the following equation:

[0052] in, Indicates the time of maximum frequency difference. This represents the frequency regulation coefficient of new energy sources. This indicates the proportion of power output from new energy sources.

[0053] Preferably, the second sensitive interval of the primary frequency regulation dead zone of new energy sources under different new energy output ratios, calculated in the second calculation module based on the established second functional relationship, includes: Based on the power system operation scenario, the conventional parameters are set to fixed values, and the second function relationship is converted into a second function form. The conventional parameters include the load damping coefficient, the conventional unit droop coefficient, the turbine equivalent inertia time constant, and the system synchronous inertia constant. By keeping other parameters fixed, and changing the proportion of new energy output and the value of the primary frequency regulation dead zone of new energy in the second function form, multiple parameter combinations are obtained. The maximum frequency difference is calculated based on the combination of multiple parameters. The rate of change of the maximum frequency difference under multiple parameter combinations with the dead zone of primary frequency regulation of new energy and the proportion of new energy output is obtained. The parameter interval in which the rate of change is continuously greater than the preset sensitive threshold is determined as the second sensitive interval.

[0054] Preferably, the second function relationship in the second calculation module is as follows:

[0055] in,λ G As a conventional power source in the power system, λ N The proportion of power output from new energy sources; T The equivalent inertial time constant of the turbine; D This is the load damping coefficient; a These are the characteristic coefficients of the turbine. K N For the frequency regulation coefficient of new energy sources, H Δ is the system's synchronous inertial constant; P L The disturbance power; f dG This is a standard primary frequency modulation dead zone. f dN This is a dead zone for primary frequency regulation of new energy sources; f 0 represents the frequency of the system before it was disturbed; S G This refers to the rated capacity of all conventional units in the system. t p R is the time it takes for the system to reach its maximum frequency difference after being disturbed, and R is the droop coefficient of a conventional unit.

[0056] Preferably, the second function in the second calculation module is in the form of the following equation:

[0057] Where, Δ f max Indicates the maximum frequency difference. f dN This indicates the primary frequency regulation dead zone of new energy sources. This indicates the proportion of power output from new energy sources.

[0058] Preferably, the optimization module performs iterative optimization based on the first sensitive interval and the second sensitive interval to obtain the optimized frequency modulation coefficient and the primary frequency modulation dead zone, including: An optimized first frequency modulation dead zone is generated by iterative optimization through simulation within the second sensitive interval corresponding to the first frequency modulation dead zone at equal step sizes. An optimized frequency modulation coefficient is generated by iterative optimization through simulation within the first sensitive interval corresponding to the frequency modulation coefficient at equal step sizes. The iterative optimization objective is that the absolute rate of change of the maximum frequency difference of the system under the same disturbance is less than a preset threshold.

[0059] Preferably, the verification module is specifically used for: When the optimized frequency modulation coefficient and primary frequency modulation dead zone exceed the recommended standard range, the upper limit of the recommended standard range is used as the target frequency modulation coefficient and target primary frequency modulation dead zone, respectively, and output; or, When the optimized frequency modulation coefficient and the primary frequency modulation dead zone are less than the recommended standard range, the lower limit of the recommended standard range is taken as the target frequency modulation coefficient and the target primary frequency modulation dead zone, respectively, and output.

[0060] Example 4 like Figure 7 As shown, the present invention also provides an electronic device, which may be a computer device, a microcontroller device, a smart mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, processor, and transceiver component are connected via a bus; the memory can be used to store executable programs, and an exemplary executable program may include instructions; the processor is used to execute the instructions stored in the memory. The memory can also be used to store data, which can be accessed and / or modified when instructions are executed.

[0061] The processor may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and it is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the storage medium to realize the corresponding method flow or corresponding function, so as to realize the steps of the new energy primary frequency regulation control parameter tuning method in the above embodiments.

[0062] Example 5 Based on the same inventive concept, this invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory). This readable storage medium is a memory device within an electronic device used to store programs and data. It is understood that the storage medium here can include both built-in storage media within the electronic device and extended storage media supported by the electronic device. The storage medium provides storage space, which stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more executable programs (including program code). It should be noted that the storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. Loading and executing one or more instructions stored in the storage medium by the processor can implement the steps of the new energy primary frequency regulation control parameter tuning method in the above embodiments.

[0063] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0064] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0065] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0066] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0067] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. A method for tuning primary frequency regulation control parameters of a new energy source, characterized in that, include: Based on the established first functional relationship, the first sensitive interval of the new energy frequency regulation coefficient under different new energy output ratios is calculated, and the starting value of the first sensitive interval is determined as the initial value of the frequency regulation coefficient. The first functional relationship is a pre-established functional relationship between the time for the system to reach the maximum frequency difference after disturbance, the new energy output ratio, and the new energy frequency regulation coefficient. The starting value of the first sensitive interval is the minimum value of the first sensitive interval. Based on the established second functional relationship, the second sensitive interval of the primary frequency regulation dead zone of new energy under different new energy output ratios is calculated, and the termination value of the second sensitive interval is determined as the initial value of the primary frequency regulation dead zone. The second functional relationship is a pre-established functional relationship between the maximum frequency difference of the system after disturbance, the output ratio of new energy, and the primary frequency regulation dead zone of new energy. The termination value of the second sensitive interval is the maximum value of the second sensitive interval. Substitute the initial values ​​of the frequency regulation coefficient and the primary frequency regulation dead zone into the power system simulation model, and perform iterative optimization based on the first sensitive interval and the second sensitive interval to obtain the optimized frequency regulation coefficient and the primary frequency regulation dead zone. The optimized frequency modulation coefficient and primary frequency modulation dead zone are verified against the recommended standard range, and the target frequency modulation coefficient and target primary frequency modulation dead zone are output.

2. The method according to claim 1, characterized in that, The first sensitive interval for calculating the frequency regulation coefficient of new energy sources under different proportions of new energy output based on the established first functional relationship includes: Based on the power system operation scenario, the conventional parameters are set to fixed values, and the first function relationship is converted into the first function form. The conventional parameters include the load damping coefficient, the conventional unit droop coefficient, the turbine equivalent inertia time constant, and the system synchronous inertia constant. By keeping other parameters fixed, the values ​​of the proportion of new energy and the frequency regulation coefficient of new energy in the first function form are changed to obtain multiple parameter combinations. The maximum frequency difference time is calculated based on the combination of multiple parameters, and the rate of change of the maximum frequency difference time with the new energy frequency regulation coefficient and the proportion of new energy under multiple parameter combinations is obtained. The parameter interval in which the rate of change is continuously greater than the preset sensitivity threshold is determined as the first sensitivity interval.

3. The method according to claim 2, characterized in that, The first functional relationship is shown in the following equation: in, λ G As a conventional power source in the power system, λ N The proportion of power output from new energy sources, T The equivalent inertial time constant of the turbine. D This is the load damping coefficient; a These are the characteristic coefficients of the turbine. K N For the frequency regulation coefficient of new energy sources, H Δ is the system's synchronous inertial constant; P L The disturbance power; f dG This is a typical primary frequency modulation dead zone. f dN This is a dead zone for primary frequency regulation of new energy sources; f 0 represents the system's frequency before the disturbance; S G This refers to the rated capacity of all conventional units in the system. t p R is the time it takes for the system to reach its maximum frequency difference after being disturbed, and R is the droop coefficient of a conventional unit.

4. The method according to claim 3, characterized in that, The first function is in the form of the following equation: in, Indicates the time of maximum frequency difference. This represents the frequency regulation coefficient of new energy sources. This indicates the proportion of power output from new energy sources.

5. The method according to claim 1, characterized in that, The second sensitive interval for calculating the primary frequency regulation dead zone of new energy sources under different new energy output ratios based on the established second functional relationship includes: Based on the power system operation scenario, the conventional parameters are set to fixed values, and the second function relationship is converted into a second function form. The conventional parameters include the load damping coefficient, the conventional unit droop coefficient, the turbine equivalent inertia time constant, and the system synchronous inertia constant. By keeping other parameters fixed, and changing the proportion of new energy output and the value of the primary frequency regulation dead zone of new energy in the second function form, multiple parameter combinations are obtained. The maximum frequency difference is calculated based on the combination of multiple parameters. The rate of change of the maximum frequency difference under multiple parameter combinations with the dead zone of primary frequency regulation of new energy and the proportion of new energy output is obtained. The parameter interval in which the rate of change is continuously greater than the preset sensitive threshold is determined as the second sensitive interval.

6. The method according to claim 5, characterized in that, The second functional relationship is shown in the following equation: in, λ G As a conventional power source in the power system, λ N The proportion of power output from new energy sources, T The equivalent inertial time constant of the turbine. D This is the load damping coefficient; a These are the characteristic coefficients of the turbine. K N For the frequency regulation coefficient of new energy sources, H Δ is the system's synchronous inertial constant; P L The disturbance power; f dG This is a typical primary frequency modulation dead zone. f dN This is a dead zone for primary frequency regulation of new energy sources; f 0 represents the system's frequency before the disturbance; S G This refers to the rated capacity of all conventional units in the system. t p The time it takes for the system to reach its maximum frequency deviation after being disturbed, R is the droop coefficient of a conventional unit, and Δ f max This is the maximum frequency difference the system reaches after being disturbed.

7. The method according to claim 6, characterized in that, The second function is in the form of the following equation: Where, Δ f max Indicates the maximum frequency difference. f dN This indicates the primary frequency regulation dead zone of new energy sources. This indicates the proportion of power output from new energy sources.

8. The method according to claim 1, characterized in that, The iterative optimization based on the first sensitive interval and the second sensitive interval to obtain the optimized frequency modulation coefficient and the primary frequency modulation dead zone includes: An optimized first frequency modulation dead zone is generated by iterative optimization through simulation within the second sensitive interval corresponding to the first frequency modulation dead zone at equal step sizes. An optimized frequency modulation coefficient is generated by iterative optimization through simulation within the first sensitive interval corresponding to the frequency modulation coefficient at equal step sizes. The iterative optimization objective is that the absolute rate of change of the maximum frequency difference of the system under the same disturbance is less than a preset threshold.

9. The method according to claim 1, characterized in that, The process of verifying the optimized frequency modulation coefficient and primary frequency modulation dead zone against the recommended standard range, and outputting the target frequency modulation coefficient and target primary frequency modulation dead zone, includes: When the optimized frequency modulation coefficient and primary frequency modulation dead zone exceed the recommended standard range, the upper limit of the recommended standard range is used as the target frequency modulation coefficient and target primary frequency modulation dead zone, respectively, and output; or, When the optimized frequency modulation coefficient and the primary frequency modulation dead zone are less than the recommended standard range, the lower limit of the recommended standard range is taken as the target frequency modulation coefficient and the target primary frequency modulation dead zone, respectively, and output.

10. A primary frequency regulation control parameter tuning system for a new energy source, characterized in that, include: The first calculation module is used to calculate the first sensitive interval of the frequency regulation coefficient of new energy under different proportions of new energy output based on the established first functional relationship, and to determine the initial value of the first sensitive interval as the initial value of the frequency regulation coefficient. The first functional relationship is a pre-established functional relationship between the time for the system to reach the maximum frequency difference after disturbance, the proportion of new energy output, and the frequency regulation coefficient of new energy. The initial value of the first sensitive interval is the minimum value of the first sensitive interval. The second calculation module is used to calculate the second sensitive interval of the primary frequency regulation dead zone of new energy under different new energy output ratios based on the established second functional relationship, and to determine the termination value of the second sensitive interval as the initial value of the primary frequency regulation dead zone. The second functional relationship is a pre-established functional relationship between the maximum frequency difference of the system after disturbance, the output ratio of new energy, and the primary frequency regulation dead zone of new energy. The termination value of the second sensitive interval is the maximum value of the second sensitive interval. The optimization module is used to substitute the initial value of the frequency regulation coefficient and the initial value of the primary frequency regulation dead zone into the power system simulation model, and perform iterative optimization based on the first sensitive interval and the second sensitive interval to obtain the optimized frequency regulation coefficient and the primary frequency regulation dead zone. The verification module is used to verify the optimized frequency modulation coefficient and primary frequency modulation dead zone against the recommended standard range, and outputs the target frequency modulation coefficient and target primary frequency modulation dead zone.

Images