Air storage system primary frequency modulation double-layer control method and device

Abstract

The invention relates to the technical field of power system control, and particularly provides a wind storage system primary frequency modulation double-layer control method and device, and the method comprises the steps: adjusting the ideal charge state of a wind storage system based on the wind power frequency modulation power fluctuation quantity; and regulating and controlling the charge and discharge coefficient of the wind storage system based on the ideal charge state and the current charge state of the wind storage system. According to the technical scheme provided by the invention, unified coordination of frequency response performance and healthy operation of the energy storage system is realized through an up-down collaborative dynamic control structure, so that the frequency modulation robustness and the adjustment continuity of the system under complex disturbance are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power system control, and in particular to a double-layer control method and device for primary frequency modulation of a wind-storage system. Background Art

[0002] Currently, the power system is rapidly moving toward a phase where a high proportion of renewable energy is integrated into the grid. New energy sources, such as wind power, exhibit large output fluctuations and poor predictability. This has resulted in a decrease in the overall inertia of the power grid, significantly increasing the difficulty of frequency regulation. Traditional methods, primarily based on thermal power, such as inertial response and primary frequency regulation, are no longer able to meet the dynamic stability requirements of modern power grids.

[0003] In this context, battery energy storage systems (BESS) are becoming a key flexibility resource for ensuring frequency stability due to their millisecond-level rapid response and high regulation accuracy. However, the primary frequency regulation capability of BESS is severely constrained by dynamic fluctuations in the state of charge (SOC). This is particularly true in scenarios with frequent power adjustments, where SOC overcharge or over-discharge can occur, impacting the system's operating life and system safety. Furthermore, the high uncertainty of wind power output makes it difficult for fixed-parameter control strategies to adapt to dynamic operating environments, thereby reducing the robustness and adaptability of the control system.

[0004] Existing research has explored various aspects of BESS frequency regulation control strategies, such as variable droop control mechanisms based on SOC level design, coordinated control methods combined with virtual inertia, and power smoothing strategies achieved through flexible switching and rolling optimization. These have all significantly improved the system's dynamic response capabilities and SOC management effectiveness. However, most current methods still rely on static parameter settings or fixed threshold control, lacking comprehensive consideration of wind power output stochasticity modeling and energy storage state constraints. This makes it difficult to achieve dual guarantees for frequency regulation performance and energy storage lifespan, and a systematic and dynamic control framework has yet to be established.

[0005] Therefore, it is urgent to design a coordinated control method that integrates wind power uncertainty modeling and SOC prediction mechanism to achieve a dynamic balance between frequency regulation accuracy, response speed and energy storage safety, so as to meet the requirements of high-proportion renewable energy power grids for efficient utilization of frequency regulation resources. Summary of the Invention

[0006] In order to overcome the above-mentioned defects, the present invention proposes a double-layer control method and device for primary frequency modulation of a wind-storage system.

[0007] In a first aspect, a method for controlling primary frequency modulation and dual-layer control of a wind-storage system is provided, the method comprising:

[0008] Adjust the ideal state of charge of the wind-storage system based on the power fluctuation of wind power frequency regulation;

[0009] The charge and discharge coefficient of the wind storage system is regulated based on the ideal state of charge and current state of charge of the wind storage system.

[0010] Preferably, the method of adjusting the ideal state of charge of the wind-storage system based on the wind power frequency modulation power fluctuation comprises:

[0011] Adjust the ideal state of charge of the wind energy storage system by pressing the following formula:

[0012]

[0013] In the above formula, SOC ref (t) is the ideal state of charge of the wind storage system, SOC max is the maximum state of charge of the wind storage system, SOC min is the minimum state of charge of the wind storage system, ΔP ES (t) is the power fluctuation of wind power frequency regulation, E N is the rated energy storage capacity of the wind storage system.

[0014] Furthermore, the wind power frequency regulation power fluctuation amount is as follows:

[0015] ΔP ES (t)=[P m (t+Δt)-P m (t)]×d

[0016] In the above formula, P m (t+Δt) is the mechanical power captured by the wind turbine predicted at time t+Δt, P m (t) is the mechanical power captured by the wind turbine at time t, d is the load reduction factor, and Δt is the sampling interval.

[0017] Preferably, the controlling of the charge and discharge coefficient of the wind-storage system based on the ideal state of charge and the current state of charge of the wind-storage system includes:

[0018] When the current state of charge of the wind-storage system is within a preset range near the ideal state of charge of the wind-storage system, the state of charge of the wind-storage system is divided into regions using the preset SOC division points, and the charge and discharge coefficient of the wind-storage system is regulated based on the situation of the region where the current state of charge of the wind-storage system is located.

[0019] Furthermore, the preset SOC division points are, from large to small, the maximum state of charge SOC max , medium to high SOC max-T , ideal upper limit of state of charge SOC max-H , lower limit of ideal state of charge area SOCmin-H , low-medium state of charge SOC min-T and minimum state of charge SOC min .

[0020] Furthermore, when the current state of charge of the wind storage system is [SOC min-H ,SOC max-H ], regulating K ch =K disch =K max ;

[0021] When the current state of charge of the wind storage system is [SOC min ,SOC min-H ], regulating K ch =K max , based on the [SOC min ,SOC min-H ]’s regional boundaries regulate the discharge coefficient of the wind-storage system;

[0022] When the current state of charge of the wind storage system is [SOC max-H ,SOC max ], regulating K disch =K max , based on the [SOC max-H ,SOC max ]’s regional boundaries regulate the charging coefficient of the wind-storage system;

[0023] Among them, K ch is the charging coefficient of the wind storage system, K disch is the discharge coefficient of the wind storage system, K max is the maximum charge and discharge coefficient.

[0024] Furthermore, the [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including:

[0025] When the current state of charge of the wind storage system is [SOC min ,SOC min-T ], control

[0026] When the current state of charge of the wind storage system is [SOC min-T ,SOC min-H ], control

[0027] Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

[0028] Furthermore, the [SOCmax-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including:

[0029] When the current state of charge of the wind storage system is [SOC max-T ,SOC max ], control

[0030] When the current state of charge of the wind storage system is [SOC manx-H , SOC manx-T ], control

[0031] Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

[0032] In a second aspect, a double-layer primary frequency modulation control device for a wind-storage system is provided, the double-layer primary frequency modulation control device for a wind-storage system comprising:

[0033] The first control module is used to adjust the ideal state of charge of the wind-storage system based on the wind power frequency modulation power fluctuation;

[0034] The second control module is used to regulate the charge and discharge coefficient of the wind storage system based on the ideal state of charge and the current state of charge of the wind storage system.

[0035] Preferably, the first control module is specifically used to:

[0036] Adjust the ideal state of charge of the wind energy storage system by pressing the following formula:

[0037]

[0038] In the above formula, SOC ref (t) is the ideal state of charge of the wind storage system, SOC max is the maximum state of charge of the wind storage system, SOC min is the minimum state of charge of the wind storage system, ΔP ES (t) is the power fluctuation of wind power frequency regulation, E N is the rated energy storage capacity of the wind storage system.

[0039] Furthermore, the wind power frequency regulation power fluctuation amount is as follows:

[0040] ΔP ES (t)=[P m (t+Δt)-P m (t)]×d

[0041] In the above formula, P m (t+Δt) is the mechanical power captured by the wind turbine predicted at time t+Δt, Pm (t) is the mechanical power captured by the wind turbine at time t, d is the load reduction factor, and Δt is the sampling interval.

[0042] Preferably, the second control module is specifically used to:

[0043] When the current state of charge of the wind-storage system is within a preset range near the ideal state of charge of the wind-storage system, the state of charge of the wind-storage system is divided into regions using the preset SOC division points, and the charge and discharge coefficient of the wind-storage system is regulated based on the situation of the region where the current state of charge of the wind-storage system is located.

[0044] Furthermore, the preset SOC division points are, from large to small, the maximum state of charge SOC max , medium to high SOC max-T , ideal upper limit of state of charge SOC max-H , lower limit of ideal state of charge area SOC min-H , low-medium state of charge SOC min-T and minimum state of charge SOC min .

[0045] Furthermore, when the current state of charge of the wind storage system is [SOC min-H ,SOC max-H ], regulating K ch =K disch =K max ;

[0046] When the current state of charge of the wind storage system is [SOC min ,SOC min-H ], regulating K ch =K max , based on the [SOC min ,SOC min-H ]’s regional boundaries regulate the discharge coefficient of the wind-storage system;

[0047] When the current state of charge of the wind storage system is [SOC max-H ,SOC max ], regulating K disch =K max , based on the [SOC max-H ,SOC max ]’s regional boundaries regulate the charging coefficient of the wind-storage system;

[0048] Among them, K ch is the charging coefficient of the wind storage system, K disch is the discharge coefficient of the wind storage system, K max is the maximum charge and discharge coefficient.

[0049] Furthermore, the [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including:

[0050] When the current state of charge of the wind storage system is [SOC min ,SOC min-T ], control

[0051] When the current state of charge of the wind storage system is [SOC min-T ,SOC min-H ], control

[0052] Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

[0053] Furthermore, the [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including:

[0054] When the current state of charge of the wind storage system is [SOC max-T ,SOC max ], control

[0055] When the current state of charge of the wind storage system is [SOC manx-H , SOC manx-T ], control

[0056] Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

[0057] In a third aspect, a computer device is provided, comprising: one or more processors;

[0058] The processor is configured to execute one or more programs;

[0059] When the one or more programs are executed by the one or more processors, the wind-storage system primary frequency modulation two-layer control method is implemented.

[0060] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the primary frequency modulation two-layer control method of the wind-storage system is implemented.

[0061] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0062] The present invention provides a dual-layer control method and device for primary frequency regulation of a wind-storage system, including: regulating the wind-storage system's ideal state of charge based on the wind power frequency regulation power fluctuation; and regulating the wind-storage system's charge and discharge coefficient based on the wind-storage system's ideal state of charge and current state of charge. The technical solution provided by the present invention, through a coordinated dynamic control structure, achieves unified coordination between frequency response performance and the healthy operation of the energy storage system. While maintaining high frequency regulation accuracy, it also takes into account the healthy operation of the energy storage system, achieving a dynamic balance between frequency regulation effectiveness and SOC sustainability, demonstrating good technical adaptability and engineering promotion prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a flow chart of the main steps of the double-layer control method for primary frequency modulation of a wind-storage system according to an embodiment of the present invention;

[0064] Figure 2 4 is a continuous load disturbance curve diagram of an embodiment of the present invention. DETAILED DESCRIPTION

[0065] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0066] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0067] As disclosed in the background technology, with the deepening of the global energy structure transformation, wind power, as an important renewable energy source, has continuously increased its installed capacity and grid-connected ratio in the power system. However, wind power has natural volatility and uncontrollability. Especially in situations such as drastic changes in wind speed or isolated grid operation, it is very easy to cause problems such as abnormal grid frequency and voltage, which restricts its further large-scale development. For this reason, more and more wind farms are equipped with energy storage systems to enhance output stability, support frequency regulation, and realize key functions such as emergency power supply for isolated grids. Especially in areas with dual off-grid and grid-connected operation scenarios, the coordinated scheduling and intelligent control of energy storage systems have become one of the core technologies to ensure the stable operation of wind power systems.

[0068] Currently, wind and energy storage joint control has become a research hotspot. Related research focuses on state-of-charge (SoC) estimation, state-of-health (SOH) tracking, multi-source energy storage power allocation optimization, and wind speed prediction-assisted scheduling. Various methods have been proposed, including model predictive control (MPC), hierarchical scheduling architectures, and virtual synchronous generator (VSG) control. Some engineering projects have deployed intelligent scheduling platforms with energy management systems (EMS), enabling wind and energy storage coordinated operation, peak shaving and valley filling, and partially isolated grid operation. Simultaneously, technologies such as edge computing and artificial intelligence are being gradually introduced to enhance the autonomy and robustness of control systems.

[0069] Although wind-storage combined control technology has achieved certain results, it still faces three challenges in complex actual operating conditions. First, the response to on-grid and off-grid mode switching is delayed, and the system coordination capability is insufficient. Most current control systems are optimized for single scenarios of on-grid or off-grid operation and lack a unified coordination mechanism, making it difficult to quickly complete mode switching and maintain load power supply continuity in the event of a grid failure or planned switching. Second, the energy storage system's state perception and fault isolation capabilities are limited. Existing solutions for acquiring parameters such as the SoC, health status, temperature rise, and voltage offset of energy storage units suffer from low data update frequency and long processing links, resulting in the inability to achieve real-time and accurate perception and rapid elimination of abnormal nodes, affecting the dispatch reliability of the entire system. Third, there is a lack of a power allocation optimization mechanism based on wind speed changes and load dynamics. Traditional control strategies often use static preset thresholds or average distribution methods, failing to fully consider wind speed forecast results, load fluctuation characteristics, and differences in energy storage systems. This makes it difficult to achieve dynamic adjustment of energy reservations and optimal coordination between multiple systems, affecting operational efficiency and emergency response capabilities.

[0070] To this end, it is necessary to study the coordinated control method of wind-storage systems that supports off-grid and grid-connected dual-mode operation, realize the refined scheduling and flexible coordination of multiple energy storage units, and thus effectively improve the system stability and operation efficiency of wind farms in complex operation scenarios.

[0071] To address these issues, the present invention provides a dual-layer control method and device for primary frequency regulation of a wind-storage system, including: regulating the wind-storage system's ideal state of charge based on the wind power frequency regulation power fluctuation; and regulating the wind-storage system's charge and discharge coefficient based on the wind-storage system's ideal state of charge and current state of charge. The technical solution provided by the present invention, through a coordinated dynamic control structure, achieves unified coordination between frequency response performance and the healthy operation of the energy storage system. While maintaining high frequency regulation accuracy, it also takes into account the healthy operation of the energy storage system, achieving a dynamic balance between frequency regulation effectiveness and SOC sustainability, demonstrating good technical adaptability and engineering promotion prospects.

[0072] The above scheme is described in detail below.

[0073] Example 1

[0074] See attached Figure 1 , Figure 1 This is a flow chart of the main steps of the double-layer control method for primary frequency modulation of a wind-storage system according to an embodiment of the present invention. Figure 1 As shown, the primary frequency modulation dual-layer control method of the wind-storage system in the embodiment of the present invention mainly includes the following steps:

[0075] Step S101: adjusting the ideal state of charge of the wind-storage system based on the wind power frequency modulation power fluctuation;

[0076] Step S102: regulating the charge and discharge coefficient of the wind-storage system based on the ideal state of charge and the current state of charge of the wind-storage system.

[0077] In this embodiment, the ideal state of charge of the wind-storage system is adjusted based on the wind power frequency modulation power fluctuation, including:

[0078] Adjust the ideal state of charge of the wind energy storage system by pressing the following formula:

[0079]

[0080] In the above formula, SOC ref (t) is the ideal state of charge of the wind storage system, SOC max is the maximum state of charge of the wind storage system, SOC min is the minimum state of charge of the wind storage system, ΔP ES (t) is the power fluctuation of wind power frequency regulation, E N is the rated energy storage capacity of the wind storage system.

[0081] In one embodiment, the wind power frequency modulation power fluctuation amount is as follows:

[0082] ΔP ES (t)=[P m (t+Δt)-P m (t)]×d

[0083] In the above formula, P m (t+Δt) is the mechanical power captured by the wind turbine predicted at time t+Δt, P m (t) is the mechanical power captured by the wind turbine at time t, d is the load reduction factor, and Δt is the sampling interval.

[0084] In this embodiment, the control of the charge and discharge coefficient of the wind-storage system based on the ideal state of charge and the current state of charge of the wind-storage system includes:

[0085] When the current state of charge of the wind-storage system is within a preset range near the ideal state of charge of the wind-storage system, the state of charge of the wind-storage system is divided into regions using the preset SOC division points, and the charge and discharge coefficient of the wind-storage system is regulated based on the situation of the region where the current state of charge of the wind-storage system is located.

[0086] In this embodiment, the upper and lower limits of the preset range near the ideal state of charge are the upper limit SOC of the ideal state of charge area and the lower limit SOC of the ideal state of charge area. max-H And the lower limit of the ideal state of charge area SOC min-H , that is, the SOC value corresponding to when the grid frequency recovers to the upper and lower limits of the frequency dead zone, which are 50.3Hz and 49.7Hz respectively;

[0087] According to a battery aging experiment conducted by the National Renewable Energy Laboratory, devices with a charge level between 30% and 50% have a longer service life than batteries that operate for a long time at 70% to 90% or 20% to 40%. min-H ,SOC max-H ] is the optimal operating area of ​​the battery, and other intervals are classified as non-optimal ranges.

[0088] In one embodiment, the preset SOC division points are, from large to small, the maximum state of charge SOC max , medium to high SOC max-T , ideal upper limit of state of charge SOC max-H , lower limit of ideal state of charge area SOC min-H , low-medium state of charge SOC min-T and minimum state of charge SOC min .

[0089] In one embodiment, when the current state of charge of the wind storage system is [SOC min-H ,SOC max-H ], regulating K ch =K disch =K max ;

[0090] When the current state of charge of the wind storage system is [SOC min ,SOC min-H ], regulating K ch =K max , based on the [SOC min ,SOC min-H ]’s regional boundaries regulate the discharge coefficient of the wind-storage system;

[0091] When the current state of charge of the wind storage system is [SOCmax-H ,SOC max ], regulating K disch =K max , based on the [SOC max-H ,SOC max ]’s regional boundaries regulate the charging coefficient of the wind-storage system;

[0092] Among them, K ch is the charging coefficient of the wind storage system, K disch is the discharge coefficient of the wind storage system, K max is the maximum charge and discharge coefficient.

[0093] In one embodiment, the [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including:

[0094] When the current state of charge of the wind storage system is [SOC min ,SOC min-T ], control

[0095] When the current state of charge of the wind storage system is [SOC min-T ,SOC min-H ], control

[0096] Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

[0097] In one embodiment, the [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including:

[0098] When the current state of charge of the wind storage system is [SOC max-T ,SOC max ], control

[0099] When the current state of charge of the wind storage system is [SOC manx-H , SOC manx-T ], control

[0100] Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

[0101] In one specific embodiment, a simulation model was constructed based on the MATLAB / Simulink platform. The total installed capacity of the system is 260 MW, the maximum load is 200 MW, and the proportion of renewable energy installed capacity is 40%. All parameters are normalized based on a 1000 MW capacity. The upper and lower deadband limits of the primary frequency regulation of the thermal power units are ±0.033 Hz (the per-unit value is 0.00066), the upper and lower deadband limits of the BESS frequency regulation are ±0.02 Hz (the per-unit value is 0.000 4), and the rated frequency of the power grid is set to 50 Hz.

[0102] Under three typical operating conditions of step disturbance, short-term continuous step disturbance and continuous disturbance, four frequency modulation strategies are selected for comparative analysis. Specifically, step S101 described in the present invention is a dynamic SOC control method, and step S102 described in the present invention is a dynamic charge and discharge coefficient control method. The four frequency modulation strategies are: dynamic SOC control method + dynamic charge and discharge coefficient control method (method of the present invention), dynamic SOC method + fixed charge and discharge coefficient method (strategy 1), fixed SOC method + fixed charge and discharge coefficient method (strategy 2), and no energy storage control method (strategy 3). The disturbance is the algebraic superposition of input load changes and wind power fluctuations.

[0103] To verify the effectiveness of the proposed method, a typical three-stage step disturbance form is adopted, introducing 0.015 pu and -0.07 pu step disturbances at 5 seconds and 25 seconds, respectively. The purpose is to comprehensively evaluate the robustness and adaptability of the control strategy in frequency regulation and energy storage system scheduling. The relevant frequency regulation indicators are shown in Table 1.

[0104] Table 1

[0105]

[0106] Table 1 shows the maximum frequency deviation (Δf max ). It can be seen that the "double-layer control strategy" proposed in the present invention shows excellent frequency regulation performance at both disturbance moments.

[0107] Under the condition of a 5-second positive step disturbance, the method of the present invention controls the maximum frequency deviation at -0.047Hz, which is improved by approximately 9.6%, -14.6% (slightly larger) and 27.7% compared with strategy 1 (-0.052Hz), strategy 2 (-0.041Hz) and strategy 3 (-0.065Hz), respectively, demonstrating faster and more precise power support capabilities, especially in the initial disturbance response stage, with strong frequency modulation robustness.

[0108] During a 25-second negative step disturbance, the maximum frequency deviation of our method was only 0.067Hz, significantly lower than those of Strategy 1 (0.078Hz), Strategy 2 (0.077Hz), and Strategy 3 (0.098Hz), with maximum deviations reduced by 14.1%, 13.0%, and 31.6%, respectively. This demonstrates that our strategy maintains stable frequency suppression capabilities under the continued influence of medium-term disturbances, effectively reducing the amplitude of frequency fluctuations.

[0109] In summary, the method proposed in the present invention can achieve better frequency control performance under different disturbance intensities and time periods, verifying its comprehensive advantages in improving the system frequency modulation accuracy and dynamic response capability.

[0110] In order to verify the effectiveness of the proposed method under continuous disturbance, 240s continuous disturbance load is selected as the research object, such as Figure 2 The relevant frequency modulation indicators are shown in Table 2.

[0111] Table 2

[0112]

[0113] In the 240-second continuous load and wind power disturbance, the data listed in Table 2 show that the frequency deviation root mean square value (R f ) and the rate of change of state of charge (R soc ), the dynamic stability and energy storage health impact of frequency regulation strategies are evaluated from two key perspectives.

[0114] From the root mean square value of the frequency deviation (R f ), the method of the present invention is significantly better than strategy 1 (0.67Hz), strategy 2 (0.91Hz) and strategy 3 (1.1Hz) with a minimum value of 0.45Hz, and the frequency deviation is reduced by approximately 32.8%, 50.5% and 59.1%, respectively, indicating that the proposed control strategy exhibits stronger frequency regulation accuracy and disturbance suppression capability when dealing with long-term disturbances.

[0115] The rate of change of state of charge (R soc ) in the method of the present invention is only 0.06, which is much lower than Strategy 1 (0.16) and Strategy 2 (0.32). Strategy 3 does not even provide this indicator, which may be due to the large fluctuation of SOC or the lack of SOC protection mechanism in the control mechanism. soc The values ​​indicate that the proposed strategy can effectively control the SOC fluctuation of the energy storage system during frequent charging and discharging, reduce the risk of deep charging and discharging, and extend the life of the energy storage equipment.

[0116] The combined performance of the two indicators demonstrates that the dual-tier control strategy proposed in this invention maintains high frequency regulation accuracy while taking into account the healthy operation of the energy storage system, achieving a dynamic balance between frequency regulation and SOC sustainability, demonstrating good technical adaptability and engineering promotion prospects.

[0117] Example 2

[0118] Based on the same inventive concept, the present invention also provides a double-layer primary frequency modulation control device for a wind-storage system, the double-layer primary frequency modulation control device for a wind-storage system comprising:

[0119] The first control module is used to adjust the ideal state of charge of the wind-storage system based on the wind power frequency modulation power fluctuation;

[0120] The second control module is used to regulate the charge and discharge coefficient of the wind storage system based on the ideal state of charge and the current state of charge of the wind storage system.

[0121] Preferably, the first control module is specifically used to:

[0122] Adjust the ideal state of charge of the wind energy storage system by pressing the following formula:

[0123]

[0124] In the above formula, SOC ref (t) is the ideal state of charge of the wind storage system, SOC max is the maximum state of charge of the wind storage system, SOC min is the minimum state of charge of the wind storage system, ΔP ES (t) is the power fluctuation of wind power frequency regulation, E N is the rated energy storage capacity of the wind storage system.

[0125] Furthermore, the wind power frequency regulation power fluctuation amount is as follows:

[0126] ΔP ES (t)=[P m (t+Δt)-P m (t)]×d

[0127] In the above formula, P m (t+Δt) is the mechanical power captured by the wind turbine predicted at time t+Δt, P m (t) is the mechanical power captured by the wind turbine at time t, d is the load reduction factor, and Δt is the sampling interval.

[0128] Preferably, the second control module is specifically used to:

[0129] When the current state of charge of the wind-storage system is within a preset range near the ideal state of charge of the wind-storage system, the state of charge of the wind-storage system is divided into regions using the preset SOC division points, and the charge and discharge coefficient of the wind-storage system is regulated based on the situation of the region where the current state of charge of the wind-storage system is located.

[0130] Furthermore, the preset SOC division points are, from large to small, the maximum state of charge SOC max , medium to high SOC max-T , ideal upper limit of state of charge SOC max-H , lower limit of ideal state of charge area SOC min-H , low-medium state of charge SOC min-T and minimum state of charge SOC min .

[0131] Furthermore, when the current state of charge of the wind storage system is [SOC min-H ,SOC max-H ], regulating K ch =K disch =K max ;

[0132] When the current state of charge of the wind storage system is [SOC min ,SOC min-H ], regulating K ch =K max , based on the [SOC min ,SOC min-H ]’s regional boundaries regulate the discharge coefficient of the wind-storage system;

[0133] When the current state of charge of the wind storage system is [SOC max-H ,SOC max ], regulating K disch =K max , based on the [SOC max-H ,SOC max ]’s regional boundaries regulate the charging coefficient of the wind-storage system;

[0134] Among them, K ch is the charging coefficient of the wind storage system, K disch is the discharge coefficient of the wind storage system, K max is the maximum charge and discharge coefficient.

[0135] Furthermore, the [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including:

[0136] When the current state of charge of the wind storage system is [SOC min,SOC min-T ], control

[0137] When the current state of charge of the wind storage system is [SOC min-T ,SOC min-H ], control

[0138] Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

[0139] Furthermore, the [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including:

[0140] When the current state of charge of the wind storage system is [SOC max-T ,SOC max ], control

[0141] When the current state of charge of the wind storage system is [SOC manx-H , SOC manx-T ], control

[0142] Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

[0143] Example 3

[0144] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of the dual-layer control method for primary frequency modulation of a wind-storage system in the above embodiment.

[0145] Example 4

[0146] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides storage space, which stores the terminal's operating system. In addition, the storage space also stores one or more instructions suitable for being loaded and executed by the processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the dual-layer control method for primary frequency modulation of a wind-storage system in the above-mentioned embodiment.

[0147] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0148] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts 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, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0149] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0150] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0151] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A double-layer control method for primary frequency modulation of a wind-storage system, characterized in that: The method comprises: Adjust the ideal state of charge of the wind-storage system based on the power fluctuation of wind power frequency regulation; The charge and discharge coefficient of the wind storage system is regulated based on the ideal state of charge and current state of charge of the wind storage system.

2. The method according to claim 1, wherein The method of adjusting the ideal state of charge of the wind-storage system based on the wind power frequency modulation power fluctuation includes: Adjust the ideal state of charge of the wind energy storage system by pressing the following formula: In the above formula, SOC ref (t) is the ideal state of charge of the wind storage system, SOC max is the maximum state of charge of the wind storage system, SOC min is the minimum state of charge of the wind storage system, ΔP ES (t) is the power fluctuation of wind power frequency regulation, E N is the rated energy storage capacity of the wind storage system.

3. The method according to claim 2, wherein The wind power frequency modulation power fluctuation amount is as follows: ΔP ES (t)=[P m (t+Δt)-P m (t)]×d In the above formula, P m (t+Δt) is the mechanical power captured by the wind turbine predicted at time t+Δt, P m (t) is the mechanical power captured by the wind turbine at time t, d is the load reduction factor, and Δt is the sampling interval.

4. The method according to claim 1, wherein The control of the charge and discharge coefficient of the wind-storage system based on the ideal state of charge and the current state of charge of the wind-storage system includes: When the current state of charge of the wind-storage system is within a preset range near the ideal state of charge of the wind-storage system, the state of charge of the wind-storage system is divided into regions using the preset SOC division points, and the charge and discharge coefficient of the wind-storage system is regulated based on the situation of the region where the current state of charge of the wind-storage system is located.

5. The method according to claim 4, wherein The preset SOC division points are, from large to small, the maximum state of charge SOC max , medium to high SOC max-T , ideal upper limit of state of charge SOC max-H , lower limit of ideal state of charge area SOC min-H , low-medium state of charge SOC min-T and minimum state of charge SOC min .

6. The method according to claim 5, wherein When the current state of charge of the wind storage system is [SOC min-H ,SOC max-H ], regulating K ch =K disch =K max ; When the current state of charge of the wind storage system is [SOC min ,SOC min-H ], regulating K ch =K max , based on the [SOC min ,SOC min-H ]’s regional boundaries regulate the discharge coefficient of the wind-storage system; When the current state of charge of the wind storage system is [SOC max-H ,SOC max ], regulating K disch =K max , based on the [SOC max-H ,SOC max ]’s regional boundaries regulate the charging coefficient of the wind-storage system; Among them, K ch is the charging coefficient of the wind storage system, K disch is the discharge coefficient of the wind storage system, K max is the maximum charge and discharge coefficient.

7. The method according to claim 6, wherein The [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including: When the current state of charge of the wind storage system is [SOC min ,SOC min-T ], control When the current state of charge of the wind storage system is [SOC min-T ,SOC min-H ], control Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

8. The method according to claim 6, wherein The [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including: When the current state of charge of the wind storage system is [SOC max-T ,SOC max ], control When the current state of charge of the wind storage system is [SOC manx-H , SOC manx-T ], control Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

9. A double-layer control device for primary frequency modulation of a wind-storage system, characterized in that: The device comprises: The first control module is used to adjust the ideal state of charge of the wind-storage system based on the wind power frequency modulation power fluctuation; The second control module is used to regulate the charge and discharge coefficient of the wind storage system based on the ideal state of charge and the current state of charge of the wind storage system.

10. The device according to claim 9, wherein The first control module is specifically configured to: Adjust the ideal state of charge of the wind energy storage system by pressing the following formula: In the above formula, SOC ref (t) is the ideal state of charge of the wind storage system, SOC max is the maximum state of charge of the wind storage system, SOC min is the minimum state of charge of the wind storage system, ΔP ES (t) is the power fluctuation of wind power frequency regulation, E N is the rated energy storage capacity of the wind storage system.

11. The device according to claim 10, wherein The wind power frequency modulation power fluctuation amount is as follows: ΔP ES (t)=[P m (t+Δt)-P m (t)]×d In the above formula, P m (t+Δt) is the mechanical power captured by the wind turbine predicted at time t+Δt, P m (t) is the mechanical power captured by the wind turbine at time t, d is the load reduction factor, and Δt is the sampling interval.

12. The device according to claim 9, wherein The second control module is specifically configured to: When the current state of charge of the wind-storage system is within a preset range near the ideal state of charge of the wind-storage system, the state of charge of the wind-storage system is divided into regions using the preset SOC division points, and the charge and discharge coefficient of the wind-storage system is regulated based on the situation of the region where the current state of charge of the wind-storage system is located.

13. The device according to claim 12, wherein The preset SOC division points are, from large to small, the maximum state of charge SOC max , medium to high SOC max-T , ideal upper limit of state of charge SOC max-H , lower limit of ideal state of charge area SOC min-H , low-medium state of charge SOC min-T and minimum state of charge SOC min .

14. The device according to claim 13, wherein When the current state of charge of the wind storage system is [SOC min-H ,SOC max-H ], regulating K ch =K disch =K max ; When the current state of charge of the wind storage system is [SOC min ,SOC min-H ], regulating K ch =K max , based on the [SOC min ,SOC min-H ]’s regional boundaries regulate the discharge coefficient of the wind-storage system; When the current state of charge of the wind storage system is [SOC max-H ,SOC max ], regulating K disch =K max , based on the [SOC max-H ,SOC max ]’s regional boundaries regulate the charging coefficient of the wind-storage system; Among them, K ch is the charging coefficient of the wind storage system, K disch is the discharge coefficient of the wind storage system, K max is the maximum charge and discharge coefficient.

15. The device according to claim 14, wherein The [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including: When the current state of charge of the wind storage system is [SOC min ,SOC min-T ], control When the current state of charge of the wind storage system is [SOC min-T ,SOC min-H ], control Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

16. The device according to claim 14, wherein The [SOC max-H ,SOC max The regional boundaries of the wind storage system are used to regulate the charging coefficient of the wind storage system, including: When the current state of charge of the wind storage system is [SOC max-T ,SOC max ], control When the current state of charge of the wind storage system is [SOC manx-H , SOC manx-T ], control Among them, n is the preset optimization parameter, and SOC is the current state of charge of the wind storage system.

17. A computer device, characterized in that: include: one or more processors; The processor is configured to execute one or more programs; When the one or more programs are executed by the one or more processors, the primary frequency modulation dual-layer control method of the wind-storage system as described in any one of claims 1 to 8 is implemented.

18. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed, the primary frequency modulation double-layer control method of the wind-storage system as described in any one of claims 1 to 8 is implemented.

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