Unit primary frequency modulation capacity online evaluation method and system based on energy contribution degree and computer readable medium

Abstract

The application provides a kind of online evaluation method, system and computer readable medium of unit primary frequency modulation capacity based on energy contribution degree, comprising: based on PMU system, the mechanical power curve and frequency response curve of unit when disturbance occurs are monitored;Based on frequency response curve and mechanical power curve, obtain initial mechanical power P0 and initial frequency f0 before unit disturbance occurs;According to PMU data, obtain the time t m And frequency steady state time t s Of frequency extreme point corresponding;Get primary frequency modulation energy contribution index parameters ECV, ECD and ECI;According to the results of each index calculation, and set reference value is compared, judge the ability of unit primary frequency modulation, such as rapidity, reliability, effectiveness is qualified or not.Using the application can overcome the problem that the accuracy of the existing primary frequency modulation capacity evaluation method is not high, realize the scientific evaluation of the comprehensive ability of traditional water and fire units and new energy units such as wind and light in the process of frequency drop and recovery.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart grid, in particular to the field of primary frequency modulation of power system, and more particularly to a method and system for online evaluation of primary frequency modulation capacity of power unit based on energy contribution degree and a computer readable storage medium. BACKGROUND

[0002] Frequency is one of the important indicators for measuring power quality of power grid, and the primary frequency modulation function of power unit is an important means for maintaining the stability of power grid frequency when the system is disturbed by a large power fault, and preventing the power grid frequency from fluctuating greatly under normal load fluctuation. The frequency index is a core index and control object for the operation of new power system, and has a particularly important influence on the power grid and users. The frequency security of large power grid depends on the real-time balance of power supply and load. Traditionally, the regulation capacity is strong when water and thermal power sources are mainly used, and the frequency security can be fully guaranteed. However, when the structure of power grid is integrated with thermal power, hydroelectric power, solar power, wind power and other new energy sources, the composition of power supply and the grid structure of power grid have undergone a series of important changes, and the problem of frequency security is becoming increasingly serious.

[0003] The previous evaluation methods for the primary frequency modulation capacity of power unit of power grid mainly focus on the separate analysis of the frequency curve or the power curve in the primary frequency modulation process. For example, for the frequency curve, the primary frequency modulation capacity of the system is analyzed from the maximum deviation of frequency, steady-state deviation, frequency extreme value time, frequency steady-state time and other indicators. This method only analyzes from the perspective of frequency response effect, and does not analyze from the power curve of frequency modulation. For the power curve, the existing technology considers starting from the adjustment amount of power, studies the maximum adjustment amount of power, adjustment deviation and other indicators to evaluate the frequency modulation capacity of the unit, thereby realizing the analysis of the instantaneous characteristics of the primary frequency modulation process, but ignoring the influence of the dynamic cumulative process of the entire frequency modulation on the result.

[0004] In addition, the existing technology also attempts to use the speed difference rate, i.e. the regulation coefficient, to measure the primary frequency modulation capacity of power grid. The size of the frequency modulation capacity of power grid is inversely proportional to the regulation coefficient, i.e. the smaller the regulation coefficient, the stronger the frequency modulation capacity. However, the regulation coefficient can only reflect the frequency deviation at the steady state, and cannot reflect the dynamic frequency characteristics of the power grid. SUMMARY

[0005] In view of the shortcomings of existing primary frequency regulation capability assessment methods, such as one-sided assessment indicators and inaccurate assessment results, the purpose of this invention is to provide an online assessment method for the primary frequency regulation capability of generating units based on energy contribution. Based on the frequency and power curves after a disturbance are monitored by the PMU system, a method for determining energy indicators including depth indicators, intensity indicators, and depth indicators is proposed. The frequency regulation energy contribution rate, depth, and intensity indicators of each generating unit are calculated, and the comprehensive capability of the unit's primary frequency regulation is evaluated based on these indicators, that is, whether the speed, reliability, and effectiveness of the unit's primary frequency regulation are up to standard.

[0006] According to a first aspect of the present invention, an online assessment method for the primary frequency regulation capability of a generating unit based on energy contribution is proposed, comprising:

[0007] Step 1: Based on the PMU system, monitor the mechanical power curve and frequency response curve of the unit when a disturbance occurs;

[0008] Step 2: Based on the frequency response curve and mechanical power curve, obtain the initial mechanical power P0 and initial frequency f0 of each unit before the disturbance occurs;

[0009] Step 3: Based on the PMU data, obtain the time t corresponding to the frequency extreme points of each generator unit. m and frequency steady-state time t s ;

[0010] Step 4: Based on the initial mechanical power P0, initial frequency f0, and the time t corresponding to the frequency extreme points of each unit... m and frequency steady-state time t s Obtain the energy contribution index parameters of the unit's primary frequency regulation, including: energy contribution rate index, energy contribution depth index, and energy contribution intensity index;

[0011] Step 5: Based on the obtained primary frequency regulation energy contribution index parameters of the unit, compare them with the set reference values ​​to determine the primary frequency regulation capability of the unit.

[0012] In an optional embodiment, the initial mechanical power P0 and initial frequency f0 obtained in step 2 before the unit disturbance occur are taken as the average value of a preset number of sampling points before the disturbance occurs at time t0. For example, the average value of n sampling points before the disturbance occurs at time t0 is taken, where n is in the range [5, 20] and includes the endpoint number.

[0013] In an optional embodiment, in step 3 above, the time t corresponding to the frequency extremum point is obtained using the following method. m With frequency steady-state time t s :

[0014] When |f i -f0| When t is at its maximum m= T x i;

[0015] When |f i -f i-1 |≤ 10 -3 Hz, t s = T x i;

[0016] Wherein, f i represents the frequency of the i-th sampling point of the unit; T is the sampling interval, f0represents the initial frequency of the unit.

[0017] In the optional embodiment, the aforementioned step 4, the energy contribution index parameter of the primary frequency modulation of the unit is obtained, including calculating the energy contribution index parameter of the unit in the frequency drop and recovery process by the following method, including the energy contribution speed index, the energy contribution depth index and the energy contribution intensity index:

[0018] 1) The energy contribution speed index ECV i of the i-th unit:

[0019]

[0020] In the formula, △P mi is the mechanical power adjustment amount of the i-th unit; △ω i is the speed deviation amount of the i-th unit; ω0is the initial speed of the i-th unit;

[0021] 2) The energy contribution depth index ECD mi of the i-th unit: si

[0022] Frequency drop process:

[0023]

[0024] Frequency recovery process:

[0025]

[0026] In the formula, σ i is the regulation coefficient of the i-th unit; P Ni is the rated power of the i-th unit; ω i is the speed of the i-th unit;

[0027] 3) The energy contribution intensity index ECI mi of the i-th unit: si

[0028] Frequency drop process:

[0029]

[0030] Frequency recovery process:​​

[0031]

[0032] Thus, based on the above energy contribution speed index ECV i , energy contribution depth index ECD mi and ECD si , energy contribution intensity index ECI mi and ECI si , the speed of primary frequency modulation, the reliability and the effectiveness respectively represent the primary frequency modulation capacity of the unit.

[0033] According to the second aspect of the object of the present application, an online evaluation system of the primary frequency modulation capacity of the unit based on the energy contribution degree is also proposed, comprising:

[0034] one or more processors;

[0035] a memory storing instructions operable, which when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising the flow of the aforementioned online evaluation method of the primary frequency modulation capacity of the unit.

[0036] According to the third aspect of the object of the present application, a computer readable medium storing software is also proposed, the software comprising instructions executable by one or more computers, which through such execution cause the one or more computers to perform operations, the operations comprising the flow of the aforementioned online evaluation method of the primary frequency modulation capacity of the unit.

[0037] When the frequency deviation occurs after the disturbance of the large power grid (for example, the modern large power grid containing thermal power, hydropower and new energy power generation), the dynamic process of the primary frequency modulation action adjustment is accompanied by the change of the dynamic energy of the unit and the system. The energy change characteristics of the whole process reflect the accumulation process of the dynamic energy caused by the frequency deviation after the disturbance and the dissipation process of the energy after the primary frequency modulation action, and quantitatively reflect the capacity of the primary frequency modulation of the unit. Therefore, based on the dynamic energy contribution degree, the present application proposes an online evaluation method of the primary frequency modulation capacity of the unit based on the energy contribution degree, which scientifically, effectively and accurately realizes the evaluation of the primary frequency modulation capacity of the unit of the power grid. When evaluating each energy index, the preset reference value can be adjusted according to the actual situation of the power grid or the requirement of the dispatch personnel. The preset reference value in the present application is only an example.

[0038] In addition, in the implementation process of the method of the present application, the frequency modulation index of the power grid can be calculated rolling, and the result of each calculation can be saved to observe the change of the frequency modulation capacity of the unit in the long-term operation.

[0039] From the technical solutions of the present application, compared with the prior art, the present application has the following obvious advantages:

[0040] 1. The method overcomes the problem of low accuracy of traditional frequency modulation capacity evaluation methods, traditional frequency analysis methods only evaluate the frequency modulation capacity of the unit from a single perspective of frequency curve or power curve, ignoring the accompanying energy of the frequency modulation dynamic process, and the traditional analysis method only focuses on instantaneous analysis ability without considering the influence of cumulative effect of the entire frequency modulation dynamic process. Therefore, the online evaluation method of the primary frequency modulation capacity of the unit based on the energy contribution degree can overcome the problem of low accuracy of the existing primary frequency modulation capacity evaluation method, and more intuitively and accurately evaluate the primary frequency modulation capacity of the unit from the perspective of dynamic energy of system frequency change.

[0041] 2. In the online evaluation method of the primary frequency modulation capacity of the unit based on the energy contribution degree, the energy contribution degree index is an integral quantity, has good robustness, has low requirements for the accuracy of the algorithm and signal, and can avoid the adverse effects of errors in the monitoring data.

[0042] It should be understood that all combinations of the aforementioned concepts and additional concepts described in greater detail below can be seen as part of the subject matter of the present disclosure as long as such concepts are not mutually inconsistent. In addition, all combinations of the claimed subject matter are considered as part of the subject matter of the present disclosure.

[0043] The foregoing and other aspects, embodiments and features of the present teachings can be understood and appreciated more fully by referring to the following description in conjunction with the accompanying drawings. Other aspects, embodiments and features of the present teachings will be apparent from this description and from the claims. BRIEF DESCRIPTION OF DRAWINGS

[0044] The accompanying drawings are not intended to be drawn to scale. In the drawings, each identical, or nearly identical, component that is illustrated in various figures is represented with a like numeral. For purposes of clarity, not every component is called out in every drawing. Embodiments of various aspects of the present teachings will now be described, by way of example, with reference to the drawings, in which:

[0045] Figure 1 is a flowchart illustrating an online evaluation method of the primary frequency modulation capacity of the unit based on the energy contribution degree according to some embodiments of the present application.

[0046] Figure 2 is an example diagram illustrating the output of a hydrothermal power unit according to some embodiments of the present application, the blue curve is the output of the hydroelectric unit, and the red curve is the output of the thermal power unit.

[0047] Figure 3 is an example diagram illustrating the frequency curve of a unit according to some embodiments of the present application.

[0048] Figure 4 is a diagram illustrating a frequency modulation contribution energy curve of a thermal power unit according to some embodiments of the present application.

[0049] Figure 5 is a diagram illustrating a frequency modulation contribution energy curve of a hydroelectric power unit according to some embodiments of the present application. DETAILED DESCRIPTION

[0050] In order to better understand the technical content of the present application, specific embodiments are described below with reference to the accompanying drawings.

[0051] Aspects of the present application are described in the detailed description with reference to the accompanying drawings. Embodiments of the present disclosure are not necessarily intended to include all aspects of the present application. It should be understood that various concepts and embodiments introduced above, and those described in more detail below, can be implemented in any of numerous ways, as the disclosed concepts and embodiments are not limited to any one implementation. Additionally, some aspects of the present application can be used to advantage without combining with other aspects of the present application.

[0052] According to an embodiment of the present application, an online evaluation method of primary frequency modulation capability of a unit based on energy contribution degree comprises:

[0053] Step 1, based on a PMU system, monitoring the mechanical power curve and the frequency response curve of the unit when the disturbance occurs;

[0054] Step 2, based on the frequency response curve and the mechanical power curve, obtaining the initial mechanical power P0 and the initial frequency f0 of each unit before the disturbance occurs;

[0055] Step 3, according to the PMU data, obtaining the time t corresponding to the frequency extreme point of each unit m and the frequency steady-state time t s ;

[0056] Step 4, according to the initial mechanical power P0, the initial frequency f0, the time t corresponding to the frequency extreme point of each unit m and the frequency steady-state time t s , obtaining the energy contribution index parameters of the primary frequency modulation of the unit, including: energy contribution speed index, energy contribution depth index and energy contribution intensity index;

[0057] Step 5, according to the obtained energy contribution index parameters of the primary frequency modulation of the unit, comparing with the set reference value, judging the primary frequency modulation capability of the unit, for example, judging the quickness, reliability and effectiveness of the primary frequency modulation of the unit.

[0058] The following will be described in conjunction with Figure 1The flow chart and some preferred or optional examples of the present application more specifically describe the implementation process and / or effects of some examples of the present application.

[0059] Online data acquisition and preprocessing

[0060] In combination with the accompanying drawings Figure 1 In the aforementioned step 1, based on the PMU system, the mechanical power curve and the frequency curve of each unit in the system are monitored when the power disturbance occurs in the power grid. Figure 2 The mechanical power curve of a water and fire unit is shown in the example. Figure 3

[0061] After obtaining the actual recording data of each unit, the data within the same time range can be intercepted for analysis, and the sampling interval of each data should be consistent.

[0062] In this step, the monitoring and processing of PMU recording data can be realized by using the means in the prior art.

[0063] Recording of initial state of unit

[0064] In combination with the accompanying drawings Figure 1 In the aforementioned step 2, the initial mechanical power and the initial frequency value of each unit before the disturbance occurs are recorded, so as to facilitate the calculation of the power adjustment and the frequency adjustment in the energy index.

[0065] ΔP = P(t) - P0 (1)

[0066] Δf = f(t) - f0 (2)

[0067] In the formula, P(t) is the mechanical power of the unit in the system; P0 is the initial mechanical power of the unit; f(t) is the frequency of the unit; and f0 is the initial frequency of the unit.

[0068] In order to ensure the consistency of the dimension, the power adjustment of each unit in the above formula is calculated by using the per unit value.

[0069] Recording of key time node of frequency regulation

[0070] In combination with the accompanying drawings Figure 1 In the aforementioned step 3, the time point of the maximum frequency deviation of the primary frequency regulation of the unit and the time point of the frequency steady state should be recorded.

[0071] The time point of the maximum frequency deviation is taken as the integral end point of the frequency regulation contribution energy, which reflects the contribution speed of the initial energy of the primary frequency regulation. The time point of the frequency steady state deviation is taken as the integral end point of the depth and intensity of the frequency regulation energy contribution, which reflects the energy accumulation process of the entire dynamic process of the primary frequency regulation.

[0072] ​As an optional example, the node record of the critical time is as follows:

[0073] When |f i -f0| is the maximum frequency deviation time t m =T×i;

[0074] When |f i -f i-1 |≤10 -3 Hz is the frequency steady-state deviation time t s =T×i;

[0075] Wherein, wherein, f i represents the frequency of the i-th sampling point of the unit; T is the sampling interval, and f0represents the initial frequency of the unit.

[0076] In the optional embodiment of the application, the number of sampling points can be selected as required, and the number in the range of [5, 20] can be generally selected, and the end points are included.

[0077] In this embodiment, the number of sampling points is selected to be 10.

[0078]

Calculation of energy contribution index

[0079] In combination with Figure 1 , the initial state data and the frequency modulation critical time node are recorded to obtain the frequency modulation energy contribution index.

[0080] The rotor motion equation of the generator is written in the form of the increment of the named value, and the following equation is obtained:

[0081]

[0082] The first integral of both sides of the rotor motion equation is obtained as follows:

[0083]

[0084] In the formula, δ is the power angle of the generator rotor, T J is the moment of inertia of the generator, △P m is the mechanical power change amount, △P e is the electromagnetic power change amount of the unit, and D is the damping coefficient of the generator, and ω0is the initial speed of the unit.

[0085] As described in the formula (4) above, the left side of the equation is the kinetic energy change amount, the first term on the right side of the equation is the mechanical potential energy change amount, and the second term is the electromagnetic potential energy change amount. The mechanical potential energy change amount is defined as the primary frequency modulation contribution electric quantity of the unit. As shown in the example of Figure 4 , an example of the frequency modulation energy change curve of a thermal power unit is shown, and as shown in the example of Figure 5The frequency regulation energy variation curve of a hydroelectric generating set is shown in the exemplary representation.

[0086] 1) Energy contribution velocity index ECV

[0087] The ratio of the variation of mechanical potential energy to time within t0~t m is the energy contribution velocity index in the primary frequency regulation initial stage, as shown in equation (5). The greater the index, the better the speed of the prime mover-governor system, and the faster the generating set can respond to frequency variation and provide power support in time.

[0088]

[0089] In the equation, ΔP mi is the mechanical power adjustment of the i-th generating set; Δω i is the speed deviation of the i-th generating set; and ω0is the initial speed of the i-th generating set.

[0090] It should be understood that there are many factors affecting the speed of primary frequency regulation, such as valve action speed limit, control system instruction delay, actuator time constant, steam volume, etc., which all affect the response speed of primary frequency regulation of the generating set.

[0091] 2) Energy contribution depth index ECD

[0092] The ratio of the actual variation of mechanical potential energy to the theoretical variation of mechanical potential energy within t0~t m , t m ~t s is the energy contribution depth index in the frequency rising process and the frequency falling process of primary frequency regulation, which reflects the percentage of the actual frequency regulation capacity of the generating set to the theoretical frequency regulation capacity. The greater the index, the stronger the comprehensive frequency regulation capacity of the generating set, and the smaller the maximum frequency deviation and the steady-state deviation.

[0093] Frequency falling process:

[0094]

[0095] Frequency recovery process:

[0096]

[0097] In the equation, σ i is the regulation coefficient of the i-th generating set; P Ni is the rated power of the i-th generating set; and ω i is the speed of the i-th generating set.

[0098] It should be understood that there are many factors affecting the depth of primary frequency modulation, and the operating conditions, coal conditions, boiler pressure, control system accuracy and other factors will affect the frequency modulation depth of the unit.

[0099] 3) Energy contribution intensity index ECI

[0100] The ratio of the change amount of the mechanical potential energy of the unit in t0~t m , t m ~t s to the total change amount of the mechanical potential energy of all units in the system (unit: s) is the energy contribution intensity index of the primary frequency modulation process, which reflects the proportion of the energy contributed by a single unit to the total energy, and reflects the relative primary frequency modulation capacity of the unit. The larger the index, the greater the contribution of the unit to the primary frequency modulation of the system.

[0101] Frequency drop process:

[0102]

[0103] Frequency recovery process:

[0104]

[0105] It should be understood that the main factors affecting the strength of primary frequency modulation are the size of the unit's regulation coefficient, the size of the unit's frequency modulation limit, and the size of the unit's available capacity.

[0106] Therefore, based on the above energy contribution speed index ECV i , energy contribution depth index ECD mi and ECD si , energy contribution intensity index ECI mi and ECI si , the speed, reliability and effectiveness of primary frequency modulation are respectively represented by the frequency modulation capacity of the unit.

[0107]

Frequency modulation capacity evaluation based on frequency modulation energy index

[0108] Based on the power and frequency data of the generator set collected online by the PMU system, the energy contribution speed, depth and intensity indexes of the primary frequency modulation of the unit can be calculated as described above.

[0109] Therefore, according to the obtained primary frequency modulation energy contribution index parameters of the unit and the comparison with the set reference value, the primary frequency modulation capacity of the unit is judged. When the energy contribution speed index is greater than the first threshold level, the speed of primary frequency modulation is qualified. When the energy contribution depth index of the frequency drop process is greater than the second threshold level, and the energy contribution depth index of the frequency recovery process is greater than the third threshold level, the reliability of primary frequency modulation is qualified.

[0110] The energy contribution intensity index is used to evaluate the contribution degree of each unit in the frequency drop and recovery process, and reflects the importance of each unit in the frequency modulation process. Since the intensity index reflects the percentage of the energy contribution of each unit in all units, in the embodiment of the present application, after obtaining the energy contribution intensity index of each unit, the units are sorted, for example, from high to low, to obtain the contribution intensity contrast information of each unit for system debugging.

[0111] As an example, when the frequency modulation energy contribution speed index is greater than 3x10 -4 When the frequency drop process frequency modulation contribution depth index is greater than 30%, and the frequency recovery process frequency modulation contribution depth index is greater than 60%, the reliability of the primary frequency modulation is qualified.

[0112] In addition, it is explained that the index threshold / reference value specified or pre-set in the foregoing embodiment of the present application is only a preset value for illustration. For different power grids or different situations of the same power grid, dispatchers can set different index qualification criteria according to requirements.

[0113] The data acquisition and processing calculation method of each unit described above can be performed by using the methods and means in the prior art, which will not be described in detail in this example.

[0114] The implementation of the foregoing one or more embodiments of the present application is based on the active power curve and the frequency response curve of the unit, from the perspective of frequency modulation source energy, to comprehensively evaluate the speed, reliability and effectiveness of frequency modulation in the entire dynamic process of primary frequency modulation, more intuitively and accurately evaluate the primary frequency modulation capacity of the unit, and the energy contribution degree index is an integral quantity, which has good robustness, and the accuracy requirements of the algorithm and signal are not high, which can avoid the adverse effects of errors in the monitoring data.

[0115] Under the guidance of the above embodiments, the present application further discloses a unit primary frequency modulation capacity online evaluation system based on energy contribution degree, which comprises one or more processors and a memory.

[0116] The memory is used to store executable instructions, which, when executed by the one or more processors, cause the one or more processors to perform operations, which include the flow of the unit primary frequency modulation capacity online evaluation method of the foregoing embodiments, and in particularThe flow of the method shown. Figure 1

[0117] Some other aspects disclosed by the embodiments of the present application also provide a computer readable medium storing software, which includes instructions executable by one or more computers, and the instructions, through execution by the one or more computers, cause the one or more computers to perform operations, which include the flow of the unit primary frequency modulation capability online evaluation method of the foregoing embodiments, and in particular Figure 1 the flow of the method shown.

[0118] Although the present application has been disclosed in the above with reference to preferred embodiments, it is not intended to limit the present application. Those skilled in the art who are familiar with the technical field of the present application can make various modifications and improvements without departing from the spirit and scope of the present application. Therefore, the protection scope of the present application shall be subject to the scope defined by the claims.

Claims

1. A method for online evaluation of a unit's primary frequency regulation capability based on energy contribution, characterized in that, include: Step 1: Based on the PMU system, monitor the mechanical power curve and frequency response curve of the unit when a disturbance occurs; Step 2: Based on the frequency response curve and mechanical power curve, obtain the initial mechanical power P0 and initial frequency f0 of each unit before the disturbance occurs; Step 3: Based on the PMU data, obtain the time t corresponding to the frequency extreme points of each unit. m and frequency steady-state time t s ; Step 4: Based on the initial mechanical power P0, initial frequency f0, and the time t corresponding to the frequency extreme points of each unit... m and frequency steady-state time t s Obtain the energy contribution index parameters of the unit's primary frequency regulation, including: energy contribution rate index, energy contribution depth index, and energy contribution intensity index; Step 5: Based on the obtained primary frequency regulation energy contribution index parameters of the unit, compare them with the set reference values ​​to determine the primary frequency regulation capability of the unit; In step 4, the energy contribution index parameters of the unit's primary frequency regulation are obtained. The energy contribution index parameters of the unit during frequency drop and recovery are calculated in the following way: energy contribution rate index, energy contribution depth index, and energy contribution intensity index. 1) Energy contribution rate index (ECV) of the i-th unit i : In the formula, △P mi Δω represents the mechanical power adjustment of the i-th unit. i Let ω be the speed deviation of the i-th unit; ω0 is the initial speed of the i-th unit. 2) Energy Contribution Depth Index (ECD) of Unit i mi With ECD si : Frequency drop process: Frequency recovery process: In the formula, σ i P is the droop coefficient for the i-th generating unit; Ni ω is the rated power of the i-th unit; i Let be the rotational speed of the i-th unit; 3) Energy Contribution Intensity Index (ECI) mi With ECI si : Frequency drop process: Frequency recovery process: Therefore, based on the aforementioned energy contribution rate index ECV i Energy Contribution Depth Index (ECD) mi With ECD si Energy Contribution Intensity Index (ECI) mi With ECI si The frequency regulation capability of a generator unit is characterized by its speed, reliability, and effectiveness in primary frequency regulation.

2. The online evaluation method for unit primary frequency regulation capability based on energy contribution as described in claim 1, characterized in that, In step 2 above, the initial mechanical power P0 and initial frequency f0 before the unit disturbance are obtained by taking the average value of a preset number of sampling points before the disturbance occurs at time t0.

3. The online evaluation method for unit primary frequency regulation capability based on energy contribution as described in claim 1, characterized in that, In step 3 above, the time t corresponding to the frequency extremum point is obtained using the following method. m With frequency steady-state time t s : When |f i -f0| When t is at its maximum m =T×i; When |f i -f i-1 |≤10 -3 At Hz, t s =T×i; Among them, f i The frequency of the i-th sampling point of the unit is represented by ; T is the sampling interval, and f0 represents the initial frequency of the unit.

4. The online evaluation method for unit primary frequency regulation capability based on energy contribution as described in claim 1, characterized in that, The mechanical power adjustment and speed deviation of the i-th unit are both calculated using per-unit values.

5. The online evaluation method for unit primary frequency regulation capability based on energy contribution as described in claim 1, characterized in that, In step 5 above, when the energy contribution rate index is greater than the preset first threshold level, the speed of the primary frequency modulation is deemed to be qualified.

6. The online evaluation method for unit primary frequency regulation capability based on energy contribution as described in claim 1, characterized in that, In step 5 above, when the energy contribution depth index of the frequency drop process is greater than the second threshold level and the energy contribution depth index of the frequency recovery process is greater than the third threshold level, the reliability of the primary frequency modulation is deemed to be qualified.

7. An online evaluation system for the primary frequency regulation capability of a generating unit based on energy contribution, characterized in that, include: One or more processors; The memory stores operable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, including the flow of the online assessment method for primary frequency regulation capability of a generator unit as described in any one of claims 1-6.

8. A computer-readable medium for storing software, characterized in that: The software includes instructions executable by one or more computers, which, upon execution, cause the one or more computers to perform operations including the flow of the online assessment method for primary frequency regulation capability of a generator unit as described in any one of claims 1-6.

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