Primary frequency regulation performance optimization method and device for wind-storage combined system considering adaptive parameter control
By introducing adaptive parameter control in the wind storage joint system, dynamically adjusting the sag gain and inertial gain, the problem of insufficient frequency response of the existing stroke storage joint system under continuous disturbance of the power grid is solved, and better dynamic frequency response performance is achieved.
Patent Information
- Application Number
- CN202211338754.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-10-28
- Publication Date
- 2025-06-17
- Estimated Expiration
- 2042-10-28
AI Technical Summary
When studying the primary frequency regulation control strategy of wind storage joint system, the prior art lacks the research on the adaptive adjustment strategy of the unit sag gain and inertial gain, and it is difficult to effectively deal with the frequency response characteristics of the power grid under continuous disturbance.
A method for optimizing the primary frequency modulation performance of the wind storage joint system considering adaptive parameter control is proposed. By phased division of the dynamic frequency response process of the power grid under single and continuous disturbances, a dynamic frequency response model of the power grid is established, and the adaptive parameter control principle of the wind storage joint system is proposed to dynamically adjust the primary frequency modulation parameters of the wind storage joint system.
It improves the performance of the power grid in the dynamic frequency response process, especially during continuous disturbance, which significantly reduces the maximum frequency difference and frequency offset rate of the power grid, and improves the dynamic frequency response performance of the system.
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Abstract
Description
Technical Field
[0001] The present invention belongs to the field of primary frequency regulation of new energy units, and more specifically, relates to a method and device for optimizing the primary frequency regulation performance of a wind-storage combined system considering adaptive parameter control. Background Art
[0002] In recent years, the new energy power generation industry represented by wind power has developed rapidly, and the installed proportion of wind turbines in the power system has been continuously increasing. However, the increase in wind power installed capacity has also brought new challenges to the safe and stable operation of the power system, and frequency security is one of the typical problems. In traditional power systems, synchronous generators generally undertake the work of maintaining frequency security. However, in modern power systems with high penetration of wind power, the proportion of synchronous generator capacity gradually decreases, and the inertia and frequency regulation resources of the power grid also decrease accordingly. Therefore, to ensure that the power grid has sufficient frequency regulation resources, wind farms also need to have a certain amount of inertia support and primary frequency regulation capabilities. Wind turbines generally participate in power grid frequency regulation by simulating virtual synchronous generators. In recent years, many scholars at home and abroad have conducted in-depth research on the frequency regulation control strategies of grid-connected wind farms. The literature "Frequency Control of Doubly Fed Induction Generator Wind Turbines Coordinating Overspeed and Pitch Control" (Automation of Electric Power Systems) proposed a frequency regulation control method for doubly fed induction generator wind turbines combining overspeed and pitch control, and specifically gave the control strategies for doubly fed induction generator wind turbines to participate in frequency regulation under different wind speed conditions; the literature "Primary Frequency Regulation Power Allocation Method for Wind Farms to Avoid Secondary Frequency Dips" (Power System Protection and Control) analyzed the principle of secondary frequency dips during wind turbine frequency regulation, and on this basis proposed a primary frequency regulation power allocation method for wind farms to avoid secondary frequency dips; the literature "Unit Commitment Model of High-Penetration Wind Power Power System Considering Dynamic Frequency Response Constraints" (High Voltage Engineering) proposed a unit commitment model of high-penetration wind power power system considering power grid frequency security constraints, improving the economy of the system while maintaining power grid frequency security; the literature "Fuzzy Adaptive Control of Virtual Inertia of Wind Turbines Based on Frequency Response Interval Division" (Power System Technology) analyzed the inertia requirements of the power grid in each stage of dynamic frequency response, and proposed a fuzzy adaptive control method for virtual inertia of wind turbines, effectively improving the dynamic frequency response performance of the power grid. However, due to the uncertainty of wind resources, the frequency regulation resources of wind turbines also have uncertainty. When wind resources fluctuate, wind turbines will not be able to complete the frequency regulation task well. For this reason, some scholars have also proposed the concept of a wind-storage combined system, and improve the frequency regulation ability of wind farms by configuring energy storage devices for wind turbines. These studies provide a rich theoretical basis for the primary frequency regulation control strategy of the wind-storage combined system, but there are still certain limitations: 1) When studying the primary frequency regulation strategy, there is less research on the adaptive adjustment strategy of the droop gain and inertia gain of the unit. Although the literature "Fuzzy Adaptive Control of Virtual Inertia of Wind Turbines Based on Frequency Response Interval Division" (Power System Technology) mentions adaptive gain control, it only targets the inertia gain of wind turbines and cannot fully exert the frequency regulation potential of wind turbines; 2) When studying the dynamic frequency response characteristics of the power grid, only the case of the power grid being subjected to a single disturbance is considered, and less research is done on the case of the power grid being subjected to continuous disturbances, which may lead to insufficient reliability of the power grid when subjected to continuous disturbances.Therefore, it is of great significance to propose a primary frequency regulation optimization method for a wind-storage integrated system that takes into account adaptive gain adjustment and considers continuous power disturbance situations. Summary of the Invention
[0003] To overcome the above defects, the present invention proposes a primary frequency regulation performance optimization method and device for a wind-storage integrated system considering adaptive parameter control.
[0004] To achieve the above object, the present invention adopts the following technical solutions:
[0005] A primary frequency regulation performance optimization method for a wind-storage integrated system considering adaptive parameter control, comprising the following steps:
[0006] Step A: Divide the dynamic frequency response process of the power grid under single and continuous disturbances into stages to obtain the frequency regulation requirements of the power grid in different stages of frequency response;
[0007] Step B: Considering the participation of the wind-storage integrated system in power grid frequency regulation, establish a dynamic frequency response model of the power grid to obtain the dynamic frequency response transfer function of the power grid;
[0008] Step C: In response to the frequency regulation requirements of the power grid, propose the adaptive parameter control principle of the wind-storage integrated system, establish a primary frequency regulation model of the wind-storage integrated system considering adaptive parameter control, and optimize the primary frequency regulation performance of the wind-storage integrated system.
[0009] Preferably, the dynamic frequency response equation of the power grid under single and continuous disturbances described in Step A is expressed as:
[0010]
[0011] Where: ΔP is the power grid power deviation; Δf is the power grid frequency deviation; K1 and K2 are the equivalent droop gain and equivalent inertia gain of the power grid in primary frequency regulation respectively, is the power grid frequency change rate.
[0012] Preferably, the frequency regulation requirements of the power grid in different stages of frequency response described in Step A include:
[0013] 1) In the frequency deviation stage, it is necessary to increase the inertia gain to reduce the maximum frequency difference and frequency deviation speed of the power grid;
[0014] 2) In the frequency recovery stage, it is necessary to reduce the inertia gain to accelerate the frequency recovery speed;
[0015] 3) In the special stage where the power grid is subjected to reverse continuous power disturbance and the power disturbance direction is the same as the frequency deviation direction, it is necessary to reduce the droop gain to hinder the increase of the power grid power deviation.
[0016] Preferably, the dynamic frequency response model of the power grid described in step B obtains the relationship between the frequency deviation and the power deviation:
[0017]
[0018] Where: M eq , D eq are the inertia time constant and damping coefficient of the power grid respectively; ΔP0 is the initial disturbance; ΔP G , ΔP WT are the supporting powers provided by the thermal power units and the wind-storage combined system in the primary frequency regulation; Δf is the grid frequency deviation.
[0019] Preferably, obtaining the dynamic frequency response transfer function of the power grid in step B includes:
[0020] The transfer function of the thermal power unit and wind power storage combined system in primary frequency regulation is established as:
[0021]
[0022] in:
[0023] Combining the above three formulas, we can get the dynamic frequency response transfer function of the power grid:
[0024]
[0025] Where: H G , H WT are the transfer functions of thermal power units and wind-storage combined system in primary frequency regulation; δ G is the primary frequency regulation rate of thermal power units; T G 、T CH 、T RH They are respectively the governor time constant, turbine time constant and reheat time constant of the thermal power unit; F HP is the reheat constant of the thermal power unit; K p , K d are the droop gain and inertia gain of the wind-storage combined system in primary frequency regulation; T WT It is the time constant of the primary frequency modulation action of the wind-storage combined system.
[0026] Preferably, in step C, the adaptive parameter control principle of the wind-storage combined system is proposed for the frequency regulation demand of the power grid, including:
[0027] ΔP0, Δf, df / dt are independent variables. The stages of the dynamic frequency response of the power grid are divided by the positive, negative, and zero states of these variables. K p , K dis the dependent variable, which is adjusted in real time according to the changes of the stage. The relationship between the independent variable and the dependent variable is:
[0028]
[0029] Preferably, the establishment of the primary frequency regulation model of the wind-storage integrated system considering adaptive parameter control in step C to optimize the primary frequency regulation performance of the wind-storage integrated system includes:
[0030] K p 、K d The adjustment coefficient λ p 、λ d The setting method is:
[0031]
[0032]
[0033]
[0034] In the formula: λ p 、λ d Are the adjustment coefficients of K p 、K d respectively, and the value range is [-1, 1]; K p0 、K d0 Are the reference values of K p 、K d respectively.
[0035] An optimization device for the primary frequency regulation performance of a wind-storage integrated system considering adaptive parameter control includes:
[0036] A frequency regulation demand analysis module that divides the dynamic frequency response process of the power grid under single and continuous disturbances into stages to obtain the frequency regulation demand of the power grid at different stages of frequency response;
[0037] A function construction module that considers the participation of the wind-storage integrated system in power grid frequency regulation, establishes a dynamic frequency response model of the power grid, and obtains the dynamic frequency response transfer function of the power grid;
[0038] A performance optimization module that proposes the adaptive parameter control principle of the wind-storage integrated system according to the frequency regulation demand of the power grid, establishes the primary frequency regulation model of the wind-storage integrated system considering adaptive parameter control, and optimizes the primary frequency regulation performance of the wind-storage integrated system.
[0039] A computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the above method steps are implemented.
[0040] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the above method steps when executing the computer program.
[0041] Compared with the prior art, the present invention has the following beneficial effects:
[0042] In view of the problem that the power grid has different requirements for frequency response characteristics in different stages of dynamic frequency response, the present invention proposes a primary frequency regulation optimization method for a wind-storage combined system considering adaptive parameter control. First, the dynamic frequency response process of the power grid under a single and continuous disturbance is divided into stages, and the frequency regulation requirements of the power grid at different stages of frequency response are obtained; secondly, a frequency response model of the power grid is established to obtain the transfer function of the wind-storage combined system in primary frequency regulation and the dynamic frequency response transfer function of the power grid; finally, in view of the frequency regulation requirements of the power grid, an adaptive parameter adjustment principle for the wind-storage combined system is proposed, and a primary frequency regulation model of the wind-storage combined system considering adaptive parameter control is established. According to the transfer function of the wind-storage combined system in primary frequency regulation, a method for optimizing the primary frequency regulation performance of the wind-storage combined system is proposed. The dynamic frequency response process of the power system can be divided into two stages: frequency deviation and frequency recovery, as well as a special stage when the power grid is subjected to reverse continuous power disturbance and the direction of the power disturbance is the same as the direction of the frequency deviation. The present invention can dynamically adjust the primary frequency regulation parameters of the wind-storage combined system according to the frequency regulation requirements of different stages, thereby improving the dynamic frequency response performance of the power grid, especially when subjected to continuous disturbances, and can more significantly reduce the maximum frequency difference and frequency deviation rate of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] Figure 1 It is the dynamic frequency response process curve of the power grid under a single power disturbance;
[0044] Figure 2 It is the dynamic frequency response process curve of the power grid under the same direction continuous power disturbance;
[0045] Figure 3 It is the dynamic frequency response process curve of the power grid under reverse continuous power disturbance;
[0046] Figure 4 It is the dynamic frequency response model of the power grid;
[0047] Figure 5 It is the primary frequency regulation model of the wind-storage combined system;
[0048] Figure 6 Comparison curves of dynamic frequency responses when the power grid is subjected to a single disturbance under various schemes;
[0049] Figure 7 Comparison curves of dynamic frequency responses of the power grid under various schemes when it is subjected to continuous power disturbance in the same direction;
[0050] Figure 8 Comparison curves of the dynamic frequency response of the power grid under reverse continuous power disturbances under each scheme. Specific implementation manners
[0051] The present invention will be further described below in conjunction with some specific embodiments.
[0052] Embodiment 1
[0053] An optimization method for the primary frequency regulation performance of a wind-storage integrated system considering adaptive parameter control, comprising the following steps:
[0054] Step A: Divide the dynamic frequency response process of the power grid under single and continuous disturbances into stages to obtain the frequency regulation requirements of the power grid at different stages of frequency response;
[0055] Step B: Considering the participation of the wind-storage integrated system in power grid frequency regulation, establish a dynamic frequency response model of the power grid to obtain the transfer function of the wind-storage integrated system in primary frequency regulation and the dynamic frequency response transfer function of the power grid;
[0056] Step C: In view of the frequency regulation requirements of the power grid, propose the adaptive parameter control principle of the wind-storage integrated system, establish a primary frequency regulation model of the wind-storage integrated system considering adaptive parameter control, and optimize the primary frequency regulation performance of the wind-storage integrated system.
[0057] Further, the dynamic frequency response process of the power grid under single and continuous disturbances described in Step A is as Figures 1-3 shown, and the dynamic frequency response equation is expressed as:
[0058]
[0059] In the formula: ΔP is the power grid power deviation; Δf is the power grid frequency deviation; K1 and K2 are respectively the equivalent droop gain and equivalent inertia gain of the power grid in primary frequency regulation, is the power grid frequency change rate. The magnitudes of the K1 and K2 parameters determine the droop control ability and inertia control ability of the system, and thus affect the performance of the system frequency response. Usually, the droop control of the power grid is used to provide long-term power support with the opposite sign to the system frequency deviation. The larger K1 is, the smaller the steady-state frequency deviation of the power grid is; the inertia control is used to provide short-term power support to impede frequency change. The larger K2 is, the stronger the ability of the power grid to impede frequency change is.
[0060] Combined with Figures 1-3Further analysis reveals that in different stages of the frequency response, the power grid has different requirements for the droop gain and inertia gain. Regarding the inertia gain of the power grid: in the stage of power grid frequency deviation, the larger the K2, the smaller the extreme value of the power grid frequency deviation, and the stronger the power grid stability. However, in the frequency recovery stage, the power grid inertia will hinder the recovery of the system frequency, increasing the time for the power grid to return to the steady state. Therefore, the smaller the K2, the faster the power grid frequency recovery. Regarding the droop gain of the power grid: although in the power grid frequency deviation and frequency recovery stages, the increase of K1 will improve the power grid frequency regulation performance, but in a special stage such as Figure 3 in the third stage, the power grid power disturbance is negative. However, since the power grid frequency deviation is also negative at this time, the droop control instead increases the power output of the power grid, deteriorating the power grid power imbalance situation. It is necessary to reduce the droop gain to hinder the increase of the power grid power deviation.
[0061] Based on the above analysis, the frequency regulation requirements of the power grid described in step A under different frequency response stages are summarized as follows:
[0062] 1) In the frequency deviation stage, it is necessary to increase the inertia gain to reduce the maximum frequency difference and frequency deviation rate of the power grid;
[0063] 2) In the frequency recovery stage, it is necessary to reduce the inertia gain to accelerate the frequency recovery speed;
[0064] 3) In a special stage where the power grid is subjected to reverse continuous power disturbances and the power disturbance direction is the same as the frequency deviation direction, it is necessary to reduce the droop gain to hinder the increase of the power grid power deviation.
[0065] Furthermore, for the dynamic frequency response model of the power grid described in step B, refer to Figure 4 . When the power grid is subjected to power disturbances, its frequency will shift accordingly. At this time, the thermal power units and the wind power-storage combined system jointly participate in the primary frequency regulation of the power grid to provide power support for the power grid. There is the following relationship between the frequency deviation and power deviation of the power grid:
[0066]
[0067] where: M eq , D eq are the inertia time constant and damping coefficient of the power grid respectively; ΔP0 is the initial disturbance; ΔP G , ΔP WT are the support powers provided by the thermal power units and the wind power-storage combined system in the primary frequency regulation respectively; Δf is the power grid frequency deviation; both the power and frequency in the formula are in per-unit values.
[0068] The detailed parameters of the dynamic frequency response model of the power grid in this embodiment are shown in Table 1.
[0069] Table 1 Specific model parameters
[0070]
[0071] Furthermore, the step B of obtaining the dynamic frequency response transfer function of the power grid includes:
[0072] The transfer function of the thermal power unit and wind power storage combined system in primary frequency regulation is established as:
[0073]
[0074] in:
[0075] Combining the above three formulas, we can get the dynamic frequency response transfer function of the power grid:
[0076]
[0077] Where: H G , H WT are the transfer functions of thermal power units and wind-storage combined system in primary frequency regulation; δ G is the primary frequency regulation rate of thermal power units; T G , T CH , T RH They are respectively the governor time constant, turbine time constant and reheat time constant of the thermal power unit; F HP is the reheat constant of the thermal power unit; K p , K d are the droop gain and inertia gain of the wind-storage combined system in primary frequency regulation; T WT is the time constant of the primary frequency modulation action of the wind-storage combined system. p , K d , T WT It is a variable parameter and can be dynamically adjusted by modifying the frequency modulation strategy. Other parameters are immutable parameters and are determined by the inherent characteristics of the system.
[0078] Furthermore, in view of the frequency regulation demand of the power grid described in step C, an adaptive parameter control principle of the wind-storage combined system is proposed, a primary frequency regulation model of the wind-storage combined system considering adaptive parameter control is established, and according to the transfer function of the wind-storage combined system in primary frequency regulation, the primary frequency regulation performance of the wind-storage combined system is optimized, including:
[0079] The adaptive parameter adjustment principles of the wind-storage combined system are shown in Table 2.
[0080] Table 2 Parameter adjustment principles
[0081]
[0082] In the above table, ΔP0, Δf, and df / dt are independent variables, and the stages of the power grid's dynamic frequency response are divided by the positive, negative, and zero states of these variables. K p , K d are dependent variables and are adjusted in real time according to the change of the stage. The relationship between the independent variable and the dependent variable is:
[0083]
[0084] Based on the above relationship, a primary frequency modulation model of a wind-storage integrated system considering adaptive parameter control is established. As Figure 5 shown, the numerical values of the power grid power deviation and frequency deviation are input, and the energy storage device and the wind turbine in the wind-storage integrated system provide droop power support and inertial power support respectively. The power support provided by the wind-storage integrated system is output to the power grid after passing through the inertial link. Figure 5 In p0 , K d0 are the reference values of the variable parameters K p , K d respectively, and are always constant during the frequency modulation process; λ p , λ d are the adjustment coefficients of K p , K d respectively, and the value range is [-1, 1], which can be adaptively adjusted according to the system state. The final values of the variable parameters K p , K d are obtained by multiplying the reference value by the adjustment coefficient. In the method proposed in the invention, the adjustment coefficients λ p , λ d of K p , λ d are set as follows:
[0085] K p , K d The adjustment coefficients λ p , λ d are set as:
[0086]
[0087]
[0088]
[0089] To verify the effectiveness of the strategy proposed in the present invention, three frequency modulation schemes are set in this embodiment for case analysis, and their implementation effects are compared:
[0090] Scheme 1: The power grid realizes primary frequency modulation only through thermal power units, without considering the participation of the wind-storage integrated system in the primary frequency modulation of the power grid;
[0091] Scenario 2: Consider the wind-storage combined system participating in primary frequency regulation, but do not consider the adaptive control of frequency regulation parameters;
[0092] Scenario 3 (the method of the present invention): Consider the wind-storage combined system participating in primary frequency regulation and adopt an adaptive parameter control strategy;
[0093] When the power grid is disturbed, the above three frequency regulation methods are respectively adopted for primary frequency regulation, and their implementation effects are analyzed.
[0094] (1) Analysis of implementation effects under single disturbance
[0095] In the case analysis of single disturbance, refer to Figure 1 , assume that the power grid is subjected to a load step disturbance of 0.1 pu at 5 s, then the dynamic frequency response curves of the power grid under Scenarios 1-3 are as Figure 6 shown.
[0096] It can be seen from the simulation results that in the power sudden increase disturbance of 0.1 pu, the maximum frequency differences of Scenarios 1-3 are 0.46 Hz, 0.13 Hz, and 0.13 Hz respectively, and the frequency drop rates are 0.268 Hz / s, 0.068 Hz / s, and 0.068 Hz / s respectively. Comparing Scenario 1 and Scenario 2, it can be known that when the wind-storage combined system participates in primary frequency regulation, due to the increase of the equivalent droop gain and equivalent inertia gain of the power grid, the maximum frequency difference, steady-state frequency difference, and frequency offset rate of the power grid are all significantly reduced, and the power grid performs better in dynamic frequency response. Comparing Scenario 2 and Scenario 3, it can be found that in the frequency recovery stage, the inertia gain of Scenario 2 is positive, and at this time, the inertia of the wind turbine will hinder the change of the power grid frequency and prolong the frequency recovery time, while the inertia gain of the method of the present invention with adaptive parameter control is negative in this stage, and at this time, the inertia of the wind turbine will promote the change of the power grid frequency and accelerate the frequency recovery.
[0097] (2) Analysis of implementation effects under continuous disturbance
[0098] In the case analysis of continuous disturbance, this embodiment will analyze the two continuous disturbance situations as Figure 2 , 3 shown, which are respectively: (a) Assume that the power grid is subjected to a load step disturbance of 0.1 pu at 5 s and a load step disturbance of 0.05 pu at 10 s; (b) Assume that the power grid is subjected to a load step disturbance of 0.1 pu at 5 s and a load step disturbance of -0.15 pu at 10 s. Optimized by Scenarios 1-3, the dynamic frequency response curves of the power grid in the two situations are as Figure 7 , 8 shown. The implementation effects of different scenarios in frequency response are shown in Table 3.
[0099] Table 3 Comparison of primary frequency regulation effects
[0100]
[0101]
[0102] The frequency offset rate mentioned in Table 3 is: the average rate of change of the grid frequency from the occurrence of the disturbance until the maximum frequency difference appears. The specific calculation method is as follows:
[0103]
[0104] In the formula: v f is the frequency offset rate; t d and t m are the occurrence time of the disturbance and the time when the maximum frequency difference appears respectively; f(t) is the frequency value of the grid at time t.
[0105] It can be intuitively seen from Figures 7-8 that after the wind - storage combined system participates in the primary frequency regulation of the power grid, both the maximum frequency difference and the steady - state frequency difference of the power grid are significantly reduced, and the dynamic frequency response performance is significantly improved. Further comparing the curves of Scheme 2 and Scheme 3 and combining the data in Table 3, it can be known that in the case of continuous disturbances, when the adaptive parameter adjustment strategy of the present invention is adopted, in case (a), the frequency offset rate of the power grid drops by 37.14%, and the maximum frequency difference drops by 2.91%; in case (b), due to the existence of special stages, the optimization effect of the method of the present invention is more obvious, the frequency offset rate of the power grid drops by 49.02%, and the maximum frequency difference drops by 11.34%.
[0106] In summary, when the power grid has a power disturbance, the primary frequency regulation performance optimization method of the wind - storage combined system considering adaptive parameter control proposed by the present invention can optimize the performance of the power system in the dynamic frequency response process, especially when continuous disturbances occur, the optimization effect is more obvious.
[0107] An optimization device for the primary frequency regulation performance of a wind - storage combined system considering adaptive parameter control, comprising:
[0108] A frequency regulation demand analysis module that divides the dynamic frequency response process of the power grid under single and continuous disturbances into stages, and obtains the frequency regulation demands of the power grid at different stages of frequency response;
[0109] A function construction module that considers the wind - storage combined system participating in the power grid frequency regulation, establishes a dynamic frequency response model of the power grid, and obtains the dynamic frequency response transfer function of the power grid;
[0110] The performance optimization module proposes the adaptive parameter control principle of the wind-storage combined system according to the frequency regulation requirements of the power grid, establishes a primary frequency regulation model of the wind-storage combined system considering adaptive parameter control, and optimizes the primary frequency regulation performance of the wind-storage combined system.
[0111] A computer-readable storage medium stores a computer program thereon, and when the computer program is executed by a processor, the method steps described above are implemented.
[0112] A computer device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the method steps described above are implemented.
[0113] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. Any other modifications or equivalent replacements made by those of ordinary skill in the art to the technical solutions of the present invention should be covered within the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solutions of the present invention.
Claims
1. An optimization method for the primary frequency regulation performance of a wind-storage integrated system considering adaptive parameter control, characterized in that, The following steps are involved: Step A: Divide the dynamic frequency response process of the power grid under a single, continuous disturbance into stages to obtain the frequency regulation requirements of the power grid at different stages of frequency response; Step B: Considering the wind-storage combined system participating in the grid frequency regulation, a dynamic frequency response model of the grid is established to obtain the dynamic frequency response transfer function of the grid; Step C: According to the frequency regulation demand of the power grid, the adaptive parameter control principle of the wind-storage combined system is proposed, the primary frequency regulation model of the wind-storage combined system considering the adaptive parameter control is established, and the primary frequency regulation performance of the wind-storage combined system is optimized; The dynamic frequency response equation of the power grid under a single, continuous disturbance described in step A is expressed as: Where: ΔP is the power deviation of the power grid; Δf is the frequency deviation of the power grid; K1 and K2 are respectively the equivalent droop gain and equivalent inertia gain of the power grid in primary frequency regulation, is the rate of change of the power grid frequency; In step C, the adaptive parameter control principle of the wind-storage combined system is proposed for the frequency regulation demand of the power grid, including: ΔP0, Δf, df / dt are independent variables. The stages of the dynamic frequency response of the power grid are divided by the positive, negative, and zero states of these variables. K p , K d is the dependent variable, which is adjusted in real time according to the changes in the stage. The relationship between the independent variable and the dependent variable is:
2. The optimization method for the primary frequency regulation performance of a wind-storage integrated system considering adaptive parameter control according to claim 1, characterized in that, The frequency regulation requirements of the power grid at different stages of frequency response described in step A include: 1) In the frequency deviation stage, it is necessary to increase the inertia gain to reduce the maximum frequency difference and frequency deviation speed of the power grid; 2) During the frequency recovery phase, the inertia gain needs to be reduced to speed up the frequency recovery; 3) When the power grid is subjected to reverse continuous power disturbance and in the special stage where the power disturbance direction is the same as the frequency deviation direction, it is necessary to reduce the droop gain to prevent the increase of power deviation of the power grid.
3. The optimization method for the primary frequency regulation performance of a wind-storage integrated system considering adaptive parameter control according to claim 1, characterized in that, The dynamic frequency response model of the power grid described in step B obtains the relationship between frequency deviation and power deviation: Where: M eq , D eq are respectively the inertia time constant and damping coefficient of the power grid; ΔP0 is the initial disturbance; ΔP G , ΔP WT are respectively the support powers provided by thermal power units and wind-solar-storage integrated systems during primary frequency regulation; Δf is the power grid frequency deviation.
4. The optimization method for the primary frequency regulation performance of a wind-storage integrated system considering adaptive parameter control according to claim 3, characterized in that, The step B of obtaining the dynamic frequency response transfer function of the power grid includes: The transfer function of the thermal power unit and wind power storage combined system in primary frequency regulation is established as: Wherein: Combining the above four formulas, we can get the dynamic frequency response transfer function of the power grid: Where: H G and H WT are the transfer functions of the thermal power unit and the wind storage combined system in primary frequency regulation respectively; δ G is the droop rate of the thermal power unit in primary frequency regulation; T G and T CH and T RH are the governor time constant, steam turbine time constant, and reheater time constant of the thermal power unit respectively; F HP is the reheater constant of the thermal power unit; K p and K d are the droop gain and inertia gain of the wind storage combined system in primary frequency regulation respectively; T WT is the time constant of the primary frequency regulation action of the wind storage combined system.
5. The optimization method for the primary frequency regulation performance of a wind-storage integrated system considering adaptive parameter control according to claim 1, characterized in that, The step C of establishing a primary frequency regulation model of a wind-storage combined system considering adaptive parameter control and optimizing the primary frequency regulation performance of the wind-storage combined system includes: K p and K d adjustment coefficient λ p and λ d are set as follows: where: λ p and λ d are the adjustment coefficients of K p and K d respectively, and the value range is [-1, 1]; K p0 and K d0 are the reference values of K p and K d respectively.
6. An optimization device for the primary frequency regulation performance of a wind-storage integrated system considering adaptive parameter control, characterized in that, include: The frequency regulation demand analysis module divides the dynamic frequency response process of the power grid under a single and continuous disturbance into stages, and obtains the frequency regulation demand of the power grid at different stages of frequency response; Function construction module, considering the wind-storage joint system participating in the grid frequency regulation, establishes the dynamic frequency response model of the grid, and obtains the dynamic frequency response transfer function of the grid; The performance optimization module proposes the adaptive parameter control principle of the wind-storage combined system in response to the frequency regulation requirements of the power grid, establishes a primary frequency regulation model of the wind-storage combined system considering adaptive parameter control, and optimizes the primary frequency regulation performance of the wind-storage combined system; The dynamic frequency response equation of the power grid under a single, continuous disturbance is expressed as: Where: ΔP is the grid power deviation; Δf is the grid frequency deviation; K1 and K2 are respectively the equivalent droop gain and equivalent inertia gain of the grid in primary frequency regulation, is the grid frequency change rate; In view of the frequency regulation requirements of the power grid, an adaptive parameter control principle of the wind-storage combined system is proposed, including: ΔP0, Δf, and df / dt are independent variables. The stages of the power grid's dynamic frequency response are divided by the positive, negative, and zero states of these variables. K p , K d are dependent variables and are adjusted in real time according to the changes in the stages. The relationship between the independent variables and the dependent variables is as follows:
7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the method steps described in any one of claims 1 to 5 are implemented.
8. A computer device, comprising a memory and a processor, the memory storing a computer program, and the processor, when executing the computer program, implementing the method steps of any one of claims 1-5.
Citation Information
Patent Citations
Power grid frequency situation online prediction method considering wind electricity and energy storage
CN108123438A
Online prediction method for power grid frequency situation based on multi-resource joint frequency modulation
CN109742774A