Optimal dispatching and coordinated control method and system of wind-solar-storage new energy power station

Abstract

The application discloses a kind of wind light storage new energy power station's optimization scheduling and coordinated control method and system, method contains: with short-term scheduling plan instruction and wind light power prediction curve as input, through scheduling plan instruction distribution and ultra-short-term-real-time rolling scheduling, wind light storage new energy power station tracks plan optimization scheduling;With grid side AGC, AVC instruction or grid point frequency deviation signal as input, through the step-by-step collaborative control of wind light storage new energy power station internal active, reactive power source, so that wind light storage new energy power station participates AGC, AVC and primary frequency modulation auxiliary service coordinated control.This method can meet the daily power generation control demand of wind light storage new energy power station, improve the operation flexibility and reliability of wind light storage new energy power station, has guiding significance and practical value in the dispatching operation of wind light storage new energy power generation project.

Description

Technical Field

[0001] This invention belongs to the field of new energy technology, specifically relating to an optimized scheduling and coordinated control method and system for wind, solar and energy storage power plants. Background Technology

[0002] The intermittent, fluctuating, and random nature of wind and solar power output presents technical challenges to power system dispatching and operation. Battery energy storage systems, with their advantages of fast response, high control precision, and flexible charging and discharging, are widely used in new energy power systems. Configuring battery energy storage systems at wind and solar power plants can improve the regulation and control capabilities of their output, reducing the problem of wind and solar curtailment caused by transmission limitations. Therefore, combined wind, solar, and energy storage power plants are an effective solution for the large-scale development of wind and solar power in the future.

[0003] A wind-solar-storage integrated power station incorporates multiple active and reactive power sources. During normal operation, wind and solar power operate in maximum power point tracking (MPPT) mode, maximizing the utilization of wind and solar resources to achieve maximum active power output. Energy storage serves as both an active and reactive power source, with SVG / SVC units acting as a reactive power source. In the event of voltage / frequency exceeding limits or the need to participate in ancillary services, wind and solar power can also urgently engage in active and reactive power regulation. Therefore, wind-solar-storage new energy power stations require optimized scheduling and coordinated control of the integrated power generation system, which includes multiple adjustable power source types, based on operational scenarios and objectives. Summary of the Invention

[0004] In response to the above-mentioned application scenarios and technical requirements, this invention proposes an optimized scheduling and coordinated control method and system for wind, solar and energy storage power plants, which can realize optimized scheduling and coordinated control functions for wind, solar and energy storage power plants at three time scales: short-term, ultra-short-term and real-time.

[0005] To achieve the above objectives, the present invention adopts the following technical solution:

[0006] In a first aspect, the present invention provides an optimized scheduling and coordinated control method for wind, solar, and energy storage power plants, comprising:

[0007] Using short-term dispatch plan instructions and wind and solar power prediction curves as inputs, the system optimizes the scheduling of wind, solar and energy storage power plants by allocating dispatch plan instructions and implementing ultra-short-term-real-time rolling scheduling.

[0008] Using grid-side AGC and AVC commands or grid connection point frequency deviation signals as input, the wind, solar, and energy storage power station can participate in the coordinated control of AGC, AVC, and primary frequency regulation auxiliary services through the tiered coordinated control of active and reactive power sources within the wind, solar, and energy storage power station.

[0009] As a further improvement of the present invention, the optimized scheduling of the tracking plan for wind, solar and energy storage power plants includes:

[0010] The overall command allocation stage distributes the total power command issued by the dispatch center among the wind, solar, and energy storage systems. Subsequently, it enters the ultra-short-term-real-time rolling dispatch stage of the wind, solar, and energy storage new energy power station. In the ultra-short-term dispatch stage, with the goal of minimizing tracking error and considering energy storage constraints, the initial allocation command for the wind, solar, and energy storage systems is calculated. In the real-time control stage, the initial allocation command for the wind, solar, and energy storage systems obtained in the ultra-short-term dispatch stage is adjusted with the measured power and real-time predicted power of wind and solar as inputs. Finally, the real-time power command for wind, solar, and energy storage is allocated and issued to each subsystem of wind, solar, and energy storage.

[0011] As a further improvement to this invention, the optimized scheduling of the tracking plan for wind, solar, and energy storage power plants specifically includes:

[0012] In the overall command allocation phase, with the goal of minimizing wind and solar curtailment, the execution commands for the scheduling plan are optimized and allocated among the wind, solar, and energy storage systems. The allocation strategy is as follows:

[0013] ① The wind and solar power curtailment at each time point is calculated using the following expression:

[0014]

[0015] In the formula: Let i be the amount of wind and solar power curtailed at time t. Let i be the photovoltaic power generation of power station i at time t; Let i be the wind power generation capacity of power station i at time t; Let be the energy storage and discharge power of power station i at time t; Let i be the energy storage and charging power of power station i at time t. Assign the obtained tracking command to power station i at time t;

[0016] ②Based on the wind and solar power curtailment situation at each moment, the obtained tracking instructions are processed. Adjustments will be made; when all combined power plants experience wind and solar curtailment or none experience it, no adjustments will be made. Adjustments will be made; when individual combined power plants experience wind and solar curtailment, the adjustment method is as follows: If the number of power plants experiencing wind and solar curtailment is greater than the number of power plants without wind and solar curtailment, then the tracking instructions for each power plant after adjustment will be:

[0017]

[0018] If the number of wind and solar power curtailment stations is less than the number of stations without wind and solar power curtailment, then the adjusted tracking instructions for each station are as follows:

[0019]

[0020] In the formula: Tracking instructions after adjustment for power plants without wind or solar curtailment; This is the tracking instruction before the adjustment of wind and solar power stations without curtailment; n is the number of wind and solar power stations without curtailment. Tracking instructions after adjustments for wind and solar power curtailment stations; This is the tracking instruction before the adjustment of wind and solar power curtailment stations; m is the number of wind and solar power curtailment stations;

[0021] During the ultra-short-term dispatch phase, with the goal of minimizing tracking error and considering energy storage constraints, the initial allocation instructions for wind, solar, and energy storage systems are calculated, including:

[0022] With the tracking instruction deviation as the objective function, the expression is:

[0023]

[0024]

[0025] In the formula: T is the total scheduling period, T = 24h; t is the optimized scheduling time period number, Δt is the scheduling step size, Δt = 1h; P plan,t P is the tracking command issued by the power grid at time t; PV,t P represents the photovoltaic power generation at time t. WT,t Let t be the wind power generation capacity; Let be the discharge power of the stored energy at time t;

[0026] The constraints include:

[0027] (1) Renewable energy generation output constraints:

[0028]

[0029] in, These represent the upper and lower limits of the day-ahead predicted output power of wind power at time t. Let be the upper and lower limits of the predicted output power of the photovoltaic system at time t, respectively;

[0030] (2) Constraints on energy storage devices:

[0031] The energy storage system uses lithium-ion batteries for energy storage, and it has a maximum charge / discharge power; moreover, the energy storage system can only be in a charging or discharging state at any given time.

[0032]

[0033] In the formula, This represents the maximum charging power of the energy storage system. This represents the maximum discharge power of the energy storage system. These represent the charging and discharging states of energy storage, respectively.

[0034] During a charge-discharge cycle, the energy storage device maintains energy balance:

[0035]

[0036] In both short-term and ultra-short-term scheduling of the tracking plan, the scheduling model is solved using the CPLEX solver;

[0037] The ultra-short-term - real-time rolling dispatch mode for wind, solar, and energy storage power plants is as follows:

[0038] After the kth ultra-short-term scheduling period ends, real-time scheduling with resolution begins in this scheduling period until all real-time scheduling is completed. Then, the (k+1)th ultra-short-term scheduling and all real-time scheduling in this period are performed, and finally all ultra-short-term scheduling for the day is completed.

[0039] As a further improvement of this invention, in both short-term and ultra-short-term scheduling of the tracking plan, the scheduling model is solved using the CPLEX solver, including:

[0040] The calculation method for adjustable wind and solar capacity is as follows:

[0041]

[0042] In the formula, ΔP WT_adj,t ΔP PV_adj,t These represent the adjustable capacities of wind power and photovoltaic power at time t, respectively. These represent the real-time predicted power of wind power and photovoltaic power at time t, respectively.

[0043] Given the adjustable capacity of wind and solar power, the planned output values ​​for ultra-short-term wind and solar power are adjusted using the following methods:

[0044]

[0045] In the formula, P WT_rt,t P is the real-time planned output of wind power at time t; PV_rt,t Contribute to the real-time photovoltaic plan at time t;

[0046] Based on the current State of Charge (SOC), the maximum charge / discharge capacity of the energy storage at this moment is calculated using the following formula:

[0047]

[0048] In the formula, ΔP is the combined output deviation; P WT_pra,t P PV_pra,t The measured power outputs are for wind power and solar power, respectively. These represent the maximum charging and discharging power during real-time adjustment; P csThe maximum charge / discharge power of the energy storage system; SOC EES,low Low energy limit for energy storage systems; SOC EES,high This is a high-capacity limit for energy storage systems.

[0049] As a further improvement of the present invention, the wind, solar and energy storage power station participates in the coordinated control of AGC, AVC and primary frequency regulation auxiliary services, including: the wind, solar and energy storage power station participates in AGC coordinated control, the wind, solar and energy storage power station participates in AVC coordinated control and the wind, solar and energy storage power station participates in primary frequency regulation coordinated control.

[0050] The participation of wind, solar, and energy storage power plants in AGC coordination and control includes:

[0051] The coordinated control process for tracking AGC commands in wind, solar, and energy storage power plants consists of a command issuance stage and a unit response stage. The command issuance stage distributes the target value of the AGC command received by the remote control system to each wind, solar, and energy storage unit. The unit response stage, based on the constraints of the units, constructs an optimized scheduling model with the minimum tracking error to reasonably distribute the AGC commands issued by the upper-level power grid to each unit, enabling the wind, solar, and energy storage power plants to work together to track the AGC commands.

[0052] The participation of wind, solar, and energy storage power plants in AVC coordinated control includes:

[0053] The coordinated control of wind, solar, and energy storage power plants using AVC commands takes the grid connection voltage / power factor of the power plant as the control object. The coordinated control is executed in a two-level control mode: master station level and subarray level. The first level is the wind, solar, and energy storage master station level, which distributes the target value of the AVC command received by the remote control system to each wind and solar unit and issues it to the wind farm and solar monitoring system for execution. At the same time, it considers the action sequence and coordination with SVC / SVG, main transformer taps, and energy storage. The second level is the wind, solar, and energy storage subarray level, which coordinates the distribution of reactive power commands among the wind, solar, and energy storage units according to their respective active power output status and reactive power availability margin.

[0054] Wind, solar, and energy storage power plants participate in primary frequency regulation coordination control, including:

[0055] When wind, solar and energy storage power plants participate in primary frequency regulation, the frequency value of the grid connection point of the wind, solar and energy storage power plants is used as the coordinated control object. The coordinated control process consists of a multi-power generation cascade collaborative control link and a primary frequency regulation control link for wind, solar and energy storage sub-arrays.

[0056] The multi-power tiered collaborative control loop collaboratively sets the primary frequency regulation dead zone, lag time, and droop rate thresholds for various power sources; the primary frequency regulation control links for wind, solar, and energy storage subarrays adopt an equally adjustable ratio subarray-level primary frequency regulation control strategy to allocate the frequency regulation power among wind, solar, and energy storage units.

[0057] As a further improvement of the present invention, the optimized scheduling model is an optimized scheduling model with tracking power deviation as the objective function, specifically as follows:

[0058]

[0059] ΔP S1,t =P plan,t -P F1,t

[0060] In the formula, P F1,t It represents the sum of the power generation plans of all power generation units in the joint power generation system under the time-t planning mode; Let t be the energy storage discharge power; P represents the energy storage charging power at time t. cut,t P represents the active power of wind or solar power curtailment at time t. Curtailment only occurs when wind and solar power units operate beyond their capacity; when their output is insufficient, the curtailed power is zero. plan,t The planned output command at time t; ΔP S1,t This refers to the tracking deviation under the planned mode.

[0061] As a further improvement to this invention, the wind-solar-storage new energy power station participates in AVC coordinated control, specifically including:

[0062] (1) The AVC of the wind-solar-storage power station receives grid dispatch instructions and automatically calculates the reactive power regulation required for reactive voltage regulation of the wind-solar-storage power station.

[0063] (2) Collect signals from wind turbines in each wind farm, photovoltaics in each photovoltaic farm, energy storage units, and reactive power compensation equipment; determine the adjustment range of reactive power of each wind farm, photovoltaic farm, and energy storage unit in the area, and collect the reactive power that can be generated by each reactive power generating device.

[0064] (3) Compare the reactive power regulation required for the reactive voltage regulation of the wind-solar-storage power station with the reactive power capacity that the SVG / SVC can generate. If the required reactive power regulation is greater than the reactive power capacity that the SVG / SVC can generate, then the SVG / SVC will generate at full capacity and proceed to the next step; otherwise, the required reactive power regulation will be reasonably allocated to the SVG / SVC and proceed to step (6).

[0065] (4) Compare the remaining required reactive power regulation with the reactive power capacity that the energy storage can generate. If the required reactive power regulation is greater than the reactive power capacity that the energy storage can generate, then the energy storage is fully utilized and proceed to the next step; otherwise, the required reactive power regulation is reasonably allocated to the energy storage and proceed to step (6).

[0066] (5) Compare the remaining reactive power regulation amount after allocation with the reactive power capacity that the wind farm and solar power can generate. If the remaining required reactive power regulation amount is greater than the reactive power capacity that the wind farm and solar power can generate, then the wind and solar power will be fully generated and proceed to the next step; otherwise, the required reactive power regulation amount will be allocated reasonably.

[0067] (6) Distribute the reactive power allocation to each field, and each field will send the received control commands to each unit in its field;

[0068] (7) Determine whether the automatic voltage control target has been achieved based on whether the required reactive power dispatch amount has been reached and to what extent it has been achieved. If it has been achieved, exit the process; otherwise, proceed to step (9).

[0069] (8) Based on the measured grid connection point voltage after adjustment, determine whether the voltage after the above steps is within the normal range. If it is, continue to judge; if not, adjust the transformer tap position to further optimize the voltage.

[0070] (9) Finally, if the voltage control target is not met, determine whether the fault range has been reached. If the fault is found, enter the fault state. If neither is met, restart automatic voltage control.

[0071] As a further improvement of the present invention, the wind-solar-storage new energy power station participates in primary frequency regulation coordination control, specifically including:

[0072] In the multi-power cascade coordinated control stage, various types of power sources participate in primary frequency regulation in a cascade coordinated manner, and the primary frequency regulation of new energy simulates the primary frequency regulation characteristics of traditional thermal power units.

[0073] In the primary frequency regulation control stage of wind, solar, and energy storage subarrays, a frequency regulation control strategy based on equal adjustable proportional control is adopted. According to the equal adjustable capacity ratio mode, the coordination control layer issues power regulation commands ΔP received by photovoltaic subarray i. i for:

[0074]

[0075] In the formula P maxi For the maximum output of subarray i, P maxs P is the total maximum output of the power station. olds P represents the total active power output of the power station before the disturbance occurs. oldi For the active power output of subarray i before the disturbance occurs, ΔP s The total power change borne by the power station.

[0076] As a further improvement of the present invention, in the primary frequency regulation of new energy simulating the primary frequency regulation characteristics of traditional thermal power units, when the system frequency fluctuates slightly, the energy storage power station first participates in the primary frequency regulation, then the photovoltaic power station participates in the primary frequency regulation, and finally the wind farm participates in the primary frequency regulation, thereby realizing the tiered and coordinated participation of various types of units in the primary frequency regulation.

[0077] Secondly, the present invention provides an optimized scheduling and coordination control system for wind, solar, and energy storage power plants, comprising:

[0078] The optimized scheduling module is used to optimize the scheduling of wind, solar and energy storage power plants by taking short-term scheduling plan instructions and wind and solar power prediction curves as inputs, and by allocating scheduling plan instructions and ultra-short-term-real-time rolling scheduling.

[0079] The coordination control module is used to take grid-side AGC and AVC commands or grid connection point frequency deviation signals as input, and through the tiered coordinated control of active and reactive power sources inside the wind, solar and energy storage power station, enable the wind, solar and energy storage power station to participate in the coordinated control of AGC, AVC and primary frequency regulation auxiliary services.

[0080] Compared with the prior art, the present invention has the following advantages:

[0081] This invention proposes an optimized scheduling and coordinated control method for large-scale wind-storage, solar-storage, and wind-solar-storage renewable energy power plants on the generation side. The method includes three time scales: short-term (future 24 hours), ultra-short-term (future 15 minutes to 4 hours), and real-time (future 0 to 15 minutes). First, an optimized scheduling method for tracking plans of wind-solar-storage renewable energy power plants is proposed. This method takes short-term (future 24 hours) scheduling plan instructions and wind and solar power prediction curves as inputs. Through two steps—scheduling of scheduling plan instructions and ultra-short-term / real-time rolling scheduling—it improves the tracking plan operation effect of wind-solar-storage renewable energy power plants and reduces wind and solar curtailment. Second, a coordinated control method for wind-solar-storage renewable energy power plants participating in AGC, AVC, and primary frequency regulation ancillary services is proposed. This method takes grid-side AGC and AVC instructions or grid connection point frequency deviation signals as inputs. Through tiered coordinated control of active and reactive power sources within the wind-solar-storage renewable energy power plant, it achieves rapid response and output control functions. This method can meet the daily power generation control needs of wind, solar and energy storage power plants, improve the operational flexibility and reliability of wind, solar and energy storage power plants, and has guiding significance and practical value in the scheduling and operation of wind, solar and energy storage power generation projects. Attached Figure Description

[0082] Figure 1 A diagram showing the coordination relationships for rolling scheduling;

[0083] Figure 2 Optimization flowchart for the scheduling of wind, solar and energy storage power station tracking plans across multiple time scales;

[0084] Figure 3 Flowchart of the coordinated control strategy for wind, solar, and energy storage AGC;

[0085] Figure 4 Flowchart of the coordinated control strategy for wind, solar, and energy storage AVC;

[0086] Figure 5 Diagrams showing the frequency regulation parameter configurations for various types of generating units;

[0087] Figure 6 A graph showing the short-term optimized dispatch results for wind, solar, and energy storage power plants;

[0088] Figure 7 A graph showing the ultra-short-term optimized dispatch results for wind, solar, and energy storage power plants;

[0089] Figure 8 A graph showing the AVC control results for wind, solar, and energy storage power plants;

[0090] Figure 9 A graph showing the results of primary frequency regulation control for wind, solar, and energy storage power plants. Detailed Implementation

[0091] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0092] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0093] The first objective of this invention is to provide an optimized scheduling and coordinated control method for wind, solar, and energy storage power plants, comprising:

[0094] Using short-term dispatch plan instructions and wind and solar power prediction curves as inputs, the system optimizes the scheduling of wind, solar and energy storage power plants by allocating dispatch plan instructions and implementing ultra-short-term-real-time rolling scheduling.

[0095] Using grid-side AGC and AVC commands or grid connection point frequency deviation signals as input, the wind, solar, and energy storage power station can participate in the coordinated control of AGC, AVC, and primary frequency regulation auxiliary services through the tiered coordinated control of active and reactive power sources within the wind, solar, and energy storage power station.

[0096] This method uses grid-side AGC / AVC commands or grid connection point frequency deviation signals as input. Through tiered coordinated control of active and reactive power sources within the wind-solar-storage renewable energy power station, it achieves rapid response and output control functions. This method can meet the daily power generation control needs of wind-solar-storage renewable energy power stations, improve their operational flexibility and reliability, and has guiding significance and practical value in the scheduling and operation of wind-solar-storage renewable energy power generation projects. The specific steps are explained below:

[0097] 1) Optimized scheduling of wind, solar and energy storage power station tracking plans

[0098] The optimized scheduling process for wind, solar, and energy storage power plant tracking plans consists of a general command allocation stage and a rolling scheduling stage. First, the general command allocation stage distributes the total power command issued by the dispatch center among the wind, solar, and energy storage systems. This method achieves short-term (future 24 hours) time-scale optimized scheduling, reducing wind and solar curtailment and improving the tracking effect of the power generation system. Next, the ultra-short-term - real-time rolling scheduling stage of the wind, solar, and energy storage power plant is entered. In the ultra-short-term (future 15 minutes to 4 hours) scheduling stage, minimizing tracking error and considering energy storage constraints, the initial allocation commands for the wind, solar, and energy storage systems are calculated. In the real-time (future 0 to 15 minutes) control stage, using the measured power and real-time predicted power of wind and solar as inputs, the initial allocation commands obtained in the ultra-short-term scheduling stage are adjusted to reduce the impact of ultra-short-term prediction errors. Finally, the real-time power commands for wind, solar, and energy storage are allocated and distributed to each subsystem.

[0099] 2) Wind, solar and energy storage power plants participate in AGC, AVC and primary frequency regulation coordinated control.

[0100] ① Wind, solar and energy storage power plants participate in AGC coordination and control

[0101] The coordinated control process for tracking AGC commands in wind, solar, and energy storage power plants consists of a command issuance stage and a unit response stage. The command issuance stage scientifically and rationally allocates the target values ​​of the AGC commands received by the remote control system to each wind, solar, and energy storage unit. The unit response stage, based on unit constraints, constructs an optimized scheduling model that minimizes tracking errors, rationally distributing the AGC commands issued by the upper-level grid to each unit. It leverages the rapid response characteristics of energy storage to maximize the response capability of the power generation system, ultimately enabling the wind, solar, and energy storage power plants to jointly output power to track the AGC commands.

[0102] ② Wind, solar, and energy storage power plants participate in AVC coordination control

[0103] The coordinated control of wind, solar, and energy storage power plants using AVC commands takes the grid connection point voltage / power factor of the wind, solar, and energy storage power plants as the coordinated control object. The coordinated control is executed in a two-level control mode: master station level and sub-array level. The first level is the wind, solar, and energy storage master station level, which distributes the target value of the AVC command received by the remote control system to each wind and solar unit and issues it to the wind farm and solar monitoring system for execution. At the same time, it considers the action sequence and coordination with SVC / SVG, main transformer taps, and energy storage. The second level is the wind, solar, and energy storage sub-array level, which coordinates the distribution of reactive power commands among the wind, solar, and energy storage units according to their respective active power output status and reactive power availability margin.

[0104] ③ Wind, solar, and energy storage power plants participate in primary frequency regulation coordination control

[0105] The participation of wind, solar, and energy storage power plants in primary frequency regulation uses the grid connection frequency of these plants as the coordinated control object. The coordinated control process consists of a multi-power source tiered collaborative control loop and a primary frequency regulation control loop for wind, solar, and energy storage sub-arrays. The multi-power source tiered collaborative control loop achieves coordinated participation in primary frequency regulation by collaboratively setting the primary frequency regulation dead zone, lag time, and droop rate thresholds for various power sources. The primary frequency regulation control loop for wind, solar, and energy storage sub-arrays adopts an equally adjustable sub-array level primary frequency regulation control strategy to achieve frequency regulation power distribution among wind, solar, and energy storage units.

[0106] In summary, based on the above calculation steps, the daily automatic control target for wind, solar, and energy storage power plants is achieved. This invention and method can meet the daily power generation control needs of wind, solar, and energy storage power plants, improve their operational flexibility and reliability, and have guiding significance and practical value in the scheduling and operation of wind, solar, and energy storage power generation projects.

[0107] The present invention will be further described in detail below with reference to specific embodiments:

[0108] 1) Optimized scheduling of wind, solar and energy storage power station tracking plans

[0109] The tracking and scheduling process is divided into three time scales: short-term output planning, ultra-short-term output rolling optimization and adjustment, and real-time output control. Short-term output planning utilizes short-term wind and solar power forecasts for scheduling, with a 4-hour interval. Short-term forecast information is acquired every 15 minutes, and the output of each unit at the power station is rationally allocated. Ultra-short-term output rolling optimization and adjustment, based on the short-term output planning, involves rolling forecasts every 15 minutes, with the scheduling results 4 hours after each rolling optimization, gradually reducing the deviation of the power generation plan. Real-time scheduling, based on the ultra-short-term output rolling optimization, is executed every 5 minutes, updating the ultra-short-term scheduling results according to the real-time output of renewable energy.

[0110] The first step, the overall command allocation stage, aims to minimize wind and solar curtailment. It optimizes the allocation of scheduling plan execution commands among the wind, solar, and energy storage systems using the following strategy:

[0111] ① The wind and solar power curtailment at each time point is calculated using the following expression:

[0112]

[0113] In the formula: Let i be the amount of wind and solar power curtailed at time t. Let i be the photovoltaic power generation of power station i at time t; Let i be the wind power generation capacity of power station i at time t; Let be the energy storage and discharge power of power station i at time t; Let i be the energy storage and charging power of power station i at time t. Assign the obtained tracking instructions to power station i at time t.

[0114] ②Based on the wind and solar power curtailment situation at each moment, the obtained tracking instructions are processed. Adjustments will be made. When all combined power plants experience wind and solar curtailment, or when none experience wind and solar curtailment, no adjustments will be made. Adjustments will be made. When individual combined power plants experience wind and solar curtailment, the adjustment method is as follows: If the number of power plants experiencing wind and solar curtailment is greater than the number of power plants without wind and solar curtailment, the tracking instructions for each power plant after adjustment will be:

[0115]

[0116] If the number of wind and solar power curtailment stations is less than the number of stations without wind and solar power curtailment, then the adjusted tracking instructions for each station are as follows:

[0117]

[0118] In the formula: Tracking instructions after adjustment for power plants without wind or solar curtailment; This is the tracking instruction before the adjustment of wind and solar power stations without curtailment; n is the number of wind and solar power stations without curtailment. Tracking instructions after adjustments for wind and solar power curtailment stations; This is the tracking instruction before the adjustment of wind and solar power curtailment stations; m is the number of wind and solar power curtailment stations.

[0119] The second step executes the short-term (24h) tracking plan algorithm, using the tracking command deviation as the objective function, expressed as:

[0120]

[0121]

[0122] In the formula: T is the total scheduling period, T = 24h; t is the optimized scheduling time period number, Δt is the scheduling step size, Δt = 1h; P plan,t P is the tracking command issued by the power grid at time t; PV,t P represents the photovoltaic power generation at time t. WT,t Let t be the wind power generation capacity; Let t be the discharge power of the stored energy.

[0123] The constraints include:

[0124] (1) Renewable energy generation output constraints:

[0125]

[0126] in, These represent the upper and lower limits of the day-ahead predicted output power of wind power at time t. Let be the upper and lower limits of the predicted output power of the photovoltaic system at time t, respectively.

[0127] (2) Constraints on energy storage devices:

[0128] The energy storage system in this project adopts the form of lithium-ion battery energy storage. The rated power of the energy storage system is 20% of the installed capacity of wind and solar power, and the duration is 2 hours. That is, the energy storage system has a maximum charging and discharging power. Moreover, at any given moment, the energy storage system can only be in one of the states of charging or discharging.

[0129]

[0130] In the formula, This represents the maximum charging power of the energy storage system. This represents the maximum discharge power of the energy storage system. These represent the charging and discharging states of energy storage, respectively, and are integer variables ranging from 0 to 1. At any time t, the sum of the two state variables is equal to 1, meaning that energy storage can only be in either the charging or discharging state at time t.

[0131] During a charge-discharge cycle, the energy of the energy storage device remains in balance, and the charge-discharge cycle is generally taken as 1 day.

[0132]

[0133] In both short-term and ultra-short-term scheduling of the tracking plan, the scheduling model is solved using the CPLEX solver.

[0134] The third part executes ultra-short-term - real-time rolling tracking. The ultra-short-term - real-time rolling scheduling coordination method is as follows: After the k-th ultra-short-term scheduling cycle ends, real-time scheduling with a resolution of 5 minutes begins within the 4 hours of this scheduling cycle, until all real-time scheduling within these 4 hours is completed. Then, the (k+1)-th ultra-short-term scheduling and all real-time scheduling within this cycle are performed, finally completing all ultra-short-term scheduling for the day. The coordination method and scheduling strategy flow of ultra-short-term - real-time rolling scheduling are as follows: Figure 1 As shown. Figure 1 This is for rolling scheduling and coordination relationships.

[0135] Real-time control for this scheduling cycle begins. Since ultra-short-term forecasting requires predicting wind and solar power output for the next 4 hours, the forecast accuracy is low, resulting in errors between the obtained scheduling results and actual conditions. Therefore, during the real-time control phase, real-time wind and solar power forecast values ​​are input with a 5-minute resolution. These real-time forecast values ​​are used to fine-tune the planned wind and solar power output obtained during the ultra-short-term scheduling process. This increases the output of the side with adjustable capacity (i.e., the portion where the real-time forecast value is greater than the planned value) and decreases the output of the side with negative adjustable capacity. Because the forecast time window is shortened, the real-time forecast values ​​are basically consistent with the actual wind and solar power measurements. This adjustment method reduces the impact of large ultra-short-term forecast errors on the scheduling results. The process of increasing adjustable capacity also improves wind and solar power absorption, indirectly improving the system's operational economy.

[0136] The calculation method for adjustable wind and solar capacity is as follows:

[0137]

[0138] In the formula, ΔP WT_adj,t ΔP PV_adj,t These represent the adjustable capacities of wind power and photovoltaic power at time t, respectively. These represent the real-time predicted power of wind power and photovoltaic power at time t, respectively.

[0139] Once the adjustable capacity of wind and solar power is known, the planned output values ​​for ultra-short-term wind and solar power can be adjusted. When the adjustable capacity of solar power is negative and the adjustable capacity of wind power is positive, wind power output needs to be increased and solar power output decreased; when the adjustable capacity of wind power is negative and the adjustable capacity of solar power is positive, solar power output needs to be increased and wind power output decreased, while ensuring that the real-time planned output of wind and solar power is less than the real-time predicted power. Regardless of the situation, the specific adjustment method is the same:

[0140]

[0141] In the formula, P WT_rt,t P is the real-time planned output of wind power at time t; PV_rt,t Contribute to the real-time photovoltaic plan at time t.

[0142] To avoid the energy level exceeding the State of Charge (SOC) limit instantaneously during charging and discharging, the maximum charge / discharge capacity of the energy storage at that moment needs to be calculated based on the current SOC. The calculation formula is as follows:

[0143]

[0144] In the formula, ΔP is the combined output deviation; P WT_pra,t P PV_pra,t The measured power outputs are for wind power and solar power, respectively. These represent the maximum charging and discharging power during real-time adjustment; P cs The maximum charge / discharge power of the energy storage system; SOC EES,low Low energy limit for energy storage systems; SOC EES,high This is a high-capacity limit for energy storage systems.

[0145] Figure 2 It is a flowchart for optimizing the scheduling of wind, solar and energy storage power plants across multiple time scales, including short-term (24h), ultra-short-term (future 4h), and real-time (future 15min).

[0146] 2) Wind, solar and energy storage power plants participate in AGC, AVC and primary frequency regulation coordinated control.

[0147] ① Wind, solar and energy storage power plants participate in AGC coordination and control

[0148] The tracking AGC control strategy can be mainly divided into the following three cases, such as Figure 3 The flowchart of the tracking AGC algorithm is shown below, where ΔP t Let P be the tracking error at time t. EES,t Let t be the state of charge of the stored energy. Let t be the energy storage charging power value. Let be the energy storage discharge power value at time t. P represents the upper and lower limits of the energy storage charging and discharging power at time t. plan,t Let P be the planned output value at time t. total,t P represents the actual output value at time t. WT,t Let P be the photovoltaic output power at time t. PV,t Let t be the wind power output at time t.

[0149] First, at time t, the total active power command for tracking AGC is compared with the adjustable active power value of the energy storage. If the total active power command is within the adjustable range of the energy storage, the energy storage alone executes the tracking AGC program. If the total active power command exceeds the adjustable range of the energy storage, the wind, solar and energy storage units jointly undertake the task of tracking the command. If the energy storage is fully charged (emptied) at time t, the wind and solar units jointly perform command tracking, and the energy storage does not participate in power adjustment.

[0150] The tracking AGC algorithm for wind-solar-storage combined power generation systems aims to compensate for deviations between short-term predicted wind and solar power output and grid dispatch plans through the coordinated operation of wind, solar, and energy storage systems, enabling the combined system to track the target command as closely as possible. Therefore, an optimized dispatch model with tracking power deviation as the objective function is constructed. This model scientifically and rationally allocates the total command value to each wind and solar unit and issues it to the wind farm and solar monitoring systems for execution, minimizing tracking deviation as much as possible.

[0151]

[0152] ΔP S1,t =P plan,t -P F1,t (13)

[0153] In the formula, P F1,t It represents the sum of the power generation plans of all power generation units in the joint power generation system under the time-t planning mode; Let t be the energy storage discharge power; P represents the energy storage charging power at time t. cut,t P represents the active power of wind or solar power curtailment at time t. Curtailment only occurs when wind and solar power units operate beyond their capacity; when their output is insufficient, the curtailed power is zero. plan,t The planned output command at time t; ΔP S1,t This refers to the tracking deviation under the planned mode.

[0154] ② Wind, solar, and energy storage power plants participate in AVC coordination control

[0155] In the wind-solar-storage reactive power control strategy, the first level is the wind-solar-storage aggregation master station, which receives dispatch control commands from the power grid dispatch center, allocates the total target value of the wind-solar reactive power mode to each wind and solar unit, and issues the commands to the wind farm and solar monitoring system for execution. It also considers the sequence and coordination of actions with SVC / SVG, main transformer taps, and energy storage. The second level is the wind-solar-storage substation, which receives reactive power control commands from the aggregation station and enables each unit in the area to execute dispatch requirements. The control flow diagram of the control strategy is as follows: Figure 4 As shown.

[0156] The calculation process is as follows:

[0157] (1) The AVC of the wind, solar and energy storage power station receives the grid dispatch instructions and automatically calculates the reactive power regulation required for the reactive power voltage regulation of the wind, solar and energy storage power station.

[0158] Current reference value for total reactive power output of wind, solar and energy storage power stations:

[0159] Q ref =(U g -U ref )I g cosφ g tanφ ref (14)

[0160] Where: φ ref This is a reference value for the power factor angle at the point of common coupling; U g I g cosφ g These are the measured values ​​of grid connection point voltage, current, and power factor, respectively.

[0161] (2) Collect signals from wind turbines in each wind farm, photovoltaics in each photovoltaic farm, energy storage units, and reactive power compensation equipment. The wind-solar-storage power station determines the adjustment range of reactive power for each wind farm, photovoltaic farm, and energy storage unit within the area, and collects information such as the amount of reactive power that can be generated by each reactive power generating device.

[0162] (3) Compare the reactive power regulation required for the reactive voltage regulation of the wind-solar-storage power station with the reactive power capacity that the SVG / SVC can generate. If the required reactive power regulation is greater than the reactive power capacity that the SVG / SVC can generate, then the SVG / SVC will generate at full capacity, and proceed to the next step; otherwise, the required reactive power regulation will be reasonably allocated to the SVG / SVC. Proceed to step 6.

[0163] (4) Compare the remaining required reactive power regulation with the reactive power capacity that the energy storage can generate. If the required reactive power regulation is greater than the reactive power capacity that the energy storage can generate, then the energy storage is fully utilized and proceed to the next step; otherwise, the required reactive power regulation is reasonably allocated to the energy storage. Proceed to step 6.

[0164] (5) Compare the remaining reactive power regulation amount after allocation with the reactive power capacity that the wind farm and solar power can generate. If the remaining required reactive power regulation amount is greater than the reactive power capacity that the wind farm and solar power can generate, then the wind and solar power will be fully generated and proceed to the next step; otherwise, the required reactive power regulation amount will be reasonably allocated.

[0165] (6) Distribute the above reactive power allocation to each field, and each field will send the received control commands to each unit in its field.

[0166] (7) After the above steps are completed, the automatic voltage control target is determined based on whether the required reactive power dispatch amount is reached and to what extent. If it is reached, the program will exit; otherwise, it will proceed to step 9.

[0167] (8) Based on the measured grid connection point voltage after adjustment, determine whether the voltage after the above steps is within the normal range. If it is, continue to judge; if not, adjust the transformer tap position to further optimize the voltage.

[0168] (9) Finally, if the voltage control target is not met, determine whether the fault range has been reached. If the fault is found, enter the fault state. If neither is met, restart automatic voltage control.

[0169] ③ Wind, solar, and energy storage power plants participate in primary frequency regulation coordination control

[0170] The first step is the multi-power source cascade coordinated control stage, where various types of power sources participate in primary frequency regulation in a cascade coordinated manner. The primary frequency regulation of new energy sources simulates the primary frequency regulation characteristics of traditional thermal power units. The corresponding primary frequency regulation response characteristics of new energy power plants are as follows:

[0171]

[0172] In the formula, f is the frequency; N The rated frequency; f d This is the frequency regulation dead zone. When the frequency deviation is less than the frequency regulation dead zone, primary frequency regulation does not operate, and the active power control of the power plant belongs to the AGC. When the frequency deviation is greater than the frequency regulation dead zone, the new energy power plant outputs power according to the above formula; P N P0 is the rated power; P0 is the initial value of active power; δ% is the droop coefficient, which is the ratio of the frequency change to the per-unit value of the active power change.

[0173] like Figure 5 The diagram shows the frequency regulation parameter configurations for various types of generating units. The primary frequency regulation dead zone setting for wind farms is generally larger than that for photovoltaic (PV) power plants, and the primary frequency regulation dead zone setting for PV power plants is generally larger than that for energy storage power plants. When the system frequency fluctuates slightly, the energy storage power plant participates in primary frequency regulation first, followed by the PV power plant, and finally the wind farm, thus achieving tiered coordinated participation of various types of generating units in primary frequency regulation. This tiered coordination method is also applicable to coordinated frequency regulation of any two types of power sources.

[0174] The second step involves adopting an adjustable proportional frequency regulation control strategy in the primary frequency regulation control stage of the wind, solar, and energy storage subarrays, defining the adjustable capacity ratio P of the photovoltaic subarray i. i for:

[0175]

[0176] In the formula: P maxiP represents the maximum output of photovoltaic subarray i; mini P represents the minimum output of photovoltaic subarray i; Bi This represents the actual power of photovoltaic subarray i.

[0177] In this mode, each photovoltaic subarray has the same adjustable capacity ratio P. i Its range is 0≤P i ≤1. Based on the equal adjustable capacity ratio model, assuming there are n independent photovoltaic subarrays in this photovoltaic power station, the adjustable capacity ratio between each photovoltaic subarray satisfies the following relationship:

[0178]

[0179] Take the minimum output P of the photovoltaic subarray i (i = 1, 2, ..., n) mini If =0, then the above expression can be transformed into:

[0180]

[0181] Simplifying the above equation, we get:

[0182]

[0183] Assume the total active power output of the photovoltaic power station before the disturbance is P. old The active power output of photovoltaic subarray i is P oldi The sum of the maximum active power output of each photovoltaic subarray is P. max Let the power change borne by photovoltaic subarray i be ΔP. i In other words, the power regulation command issued by the coordination control layer to the photovoltaic subarray means that the total power change undertaken by the photovoltaic power station is ΔP. s Then the following constraints can be obtained:

[0184]

[0185] The above formula can be expressed as:

[0186]

[0187] Therefore, the above equation can be solved to obtain:

[0188]

[0189] Following this method, the relationship between the power change undertaken by other photovoltaic subarrays in the photovoltaic power station and ΔP1 can be calculated sequentially, and ΔP can be solved. s Relationship with ΔP1:

[0190]

[0191] Therefore, the power regulation command issued by the coordination control layer to photovoltaic subarray No. 1 is as follows:

[0192]

[0193] Similarly, the power regulation command received by photovoltaic subarray i can be derived as follows:

[0194]

[0195] The present invention will be further illustrated below through specific embodiments:

[0196] Assuming the installed capacity of the wind-solar-storage new energy power station is: 50MW wind power, using 8 x 6.25MW wind turbines; 50MW photovoltaic power, using 16 x 3.125MW photovoltaic power generation units; and a 20MW / 40MW energy storage system, using 4 x 5MW / 10MW energy storage subarrays, with an initial SOC of 0.5. Using short-term dispatch output plan curves and wind and photovoltaic power forecast data as input data, an automatic optimization dispatch and coordination control algorithm for the wind-solar-storage new energy power station is executed. The short-term (24h, 15min / point) timescale optimization dispatch results are as follows: Figure 6 As shown, by controlling the output plans of wind, solar, and energy storage, the scheduling plan curve can be tracked to the maximum extent. The optimized scheduling results for the ultra-short-term (future 15 minutes to 4 hours, 15 minutes / point) timescale are as follows... Figure 7 As shown.

[0197] Figure 8 The results of wind, solar and energy storage power plants participating in AVC control within a day are presented. The AVC control algorithm uses reactive power planning instructions (24h, 15min / point) as input data, and considers the working status of wind, solar and energy storage power plants and real-time active power output, respectively, to give the reactive power output allocation instructions of wind, solar, energy storage and SVG units.

[0198] Figure 9 The active power output distribution curves for the automatic participation of internal power sources in primary frequency regulation when the grid connection point frequency system of a wind, solar, and energy storage power station suddenly spikes are presented. According to the algorithm logic, energy storage has the smallest dead zone and the shortest lag response time in the frequency regulation range, and therefore participates in primary frequency regulation first. Solar power is next, while wind power has the largest dead zone and the longest lag response time, and therefore participates in primary frequency regulation last. The active power output values ​​of wind, solar, and energy storage participating in primary frequency regulation adopt an equally adjustable proportional frequency regulation control strategy.

[0199] As demonstrated by the implementation cases, this invention proposes an optimized scheduling and coordinated control method and system for large-scale wind-storage, solar-storage, and wind-solar-storage renewable energy power plants. The method encompasses three time scales: short-term (future 24 hours), ultra-short-term (future 15 minutes to 4 hours), and real-time (future 0 to 15 minutes). It can meet the daily power generation control needs of wind-solar-storage renewable energy power plants, improve their operational flexibility and reliability, and has guiding significance and practical value in the scheduling and operation of wind-solar-storage renewable energy power generation projects.

[0200] This invention also provides an optimized scheduling and coordination control system for wind, solar, and energy storage power plants, comprising:

[0201] The optimized scheduling module is used to optimize the scheduling of wind, solar and energy storage power plants by taking short-term scheduling plan instructions and wind and solar power prediction curves as inputs, and by allocating scheduling plan instructions and ultra-short-term-real-time rolling scheduling.

[0202] The coordination control module is used to take grid-side AGC and AVC commands or grid connection point frequency deviation signals as input, and through the tiered coordinated control of active and reactive power sources inside the wind, solar and energy storage power station, enable the wind, solar and energy storage power station to participate in the coordinated control of AGC, AVC and primary frequency regulation auxiliary services.

[0203] A third objective of this invention is to provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement an optimized scheduling and coordinated control method for the wind, solar, and energy storage power station.

[0204] A fourth objective of this invention is to provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements an optimized scheduling and coordinated control method for the wind, solar, and energy storage power plant.

[0205] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0206] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0207] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0208] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0209] 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, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for optimized scheduling and coordinated control of wind, solar, and energy storage power plants, characterized in that, include: Using short-term dispatch plan instructions and wind and solar power prediction curves as inputs, the system optimizes the scheduling of wind, solar and energy storage power plants by allocating dispatch plan instructions and implementing ultra-short-term-real-time rolling scheduling. Using grid-side AGC and AVC commands or grid connection point frequency deviation signals as input, the wind, solar, and energy storage power station can participate in the coordinated control of AGC, AVC, and primary frequency regulation auxiliary services through the tiered coordinated control of active and reactive power sources within the wind, solar, and energy storage power station. The optimized scheduling of the tracking plan for wind, solar, and energy storage power plants includes: The overall command allocation stage distributes the total power command issued by the dispatch center among the wind, solar, and energy storage systems. Subsequently, it enters the ultra-short-term-real-time rolling dispatch stage of the wind, solar, and energy storage new energy power station. In the ultra-short-term dispatch stage, the goal is to minimize the tracking error and take into account the energy storage constraints. The initial allocation command for the wind, solar, and energy storage systems is calculated. In the real-time control stage, the initial allocation command for the wind, solar, and energy storage systems obtained in the ultra-short-term dispatch stage is adjusted with the measured power and real-time predicted power of wind and solar as inputs. Finally, the real-time power command for wind, solar, and energy storage is allocated and issued to each subsystem of wind, solar, and energy storage. The tracking and optimization scheduling of wind, solar, and energy storage power plants specifically includes: In the overall command allocation phase, with the goal of minimizing wind and solar curtailment, the execution commands for the scheduling plan are optimized and allocated among the wind, solar, and energy storage systems. The allocation strategy is as follows: ① The wind and solar power curtailment at each time point is calculated, and the expression is as follows: （1） In the formula: For power station exist The amount of wind and solar power abandoned at any given moment; For power station exist Real-time photovoltaic power generation capacity; For power station exist Wind power generation capacity at any given time; For power station exist Energy storage and discharge power at all times; For power station exist Real-time energy storage and charging power, For power station exist Tracking instructions obtained from time allocation; ② Based on the wind and solar power curtailment situation at each time point, the obtained tracking instructions are processed. Adjustments will be made; when all combined power plants experience wind and solar curtailment or none experience it, no adjustments will be made. Adjustments will be made; when individual combined power plants experience wind and solar curtailment, the adjustment method is as follows: If the number of power plants experiencing wind and solar curtailment is greater than the number of power plants without wind and solar curtailment, then the tracking instructions for each power plant after adjustment will be: （2） If the number of wind and solar power curtailment stations is less than the number of stations without wind and solar power curtailment, then the adjusted tracking instructions for each station are as follows: （3） In the formula: Tracking instructions after adjustment for power plants without wind or solar curtailment; This is the tracking instruction before the adjustment of wind and solar power stations without curtailment; n is the number of wind and solar power stations without curtailment. Tracking instructions after adjustments for wind and solar power curtailment stations; This is the tracking instruction before the adjustment of wind and solar power curtailment stations; m is the number of wind and solar power curtailment stations; During the ultra-short-term dispatch phase, with the goal of minimizing tracking error and considering energy storage constraints, the initial allocation instructions for wind, solar, and energy storage systems are calculated, including: With the tracking instruction deviation as the objective function, the expression is: （4） （5） In the formula: For the total scheduling cycle, ; To optimize the numbering of scheduling time periods, For scheduling step size, ; for Tracking commands issued by the power grid at all times; for Real-time photovoltaic power generation capacity; for Wind power generation capacity at any given time; for The discharge power that stores energy at all times.

2. The optimized scheduling and coordinated control method for wind, solar, and energy storage power plants according to claim 1, characterized in that, In both short-term and ultra-short-term scheduling of tracking plans, the scheduling model is solved using the CPLEX solver, including: The calculation method for adjustable wind and solar capacity is as follows: （9） In the formula, , They are respectively Adjustable capacity of wind and solar power at all times; , They are respectively Real-time forecast of wind and solar power output; Given the adjustable capacity of wind and solar power, the planned output values ​​for ultra-short-term wind and solar power are adjusted using the following methods: In the formula, for Real-time wind power output planning; for Real-time photovoltaic power output planning; Based on the current State of Charge (SOC), the maximum charge / discharge capacity of the energy storage at this moment is calculated using the following formula: In the formula, For the deviation in combined output; , The measured power outputs are for wind power and solar power, respectively. , These are the maximum charging and discharging power during real-time adjustment, respectively; This represents the maximum charging and discharging power of the energy storage system. Low energy limit for energy storage systems; This is a high-capacity limit for energy storage systems.

3. The optimized scheduling and coordinated control method for wind-solar-storage new energy power plants according to claim 1, characterized in that, The wind, solar and energy storage power station participates in the coordinated control of AGC, AVC and primary frequency regulation auxiliary services, including: wind, solar and energy storage power station participates in AGC coordinated control, wind, solar and energy storage power station participates in AVC coordinated control and wind, solar and energy storage power station participates in primary frequency regulation coordinated control. The participation of wind, solar, and energy storage power plants in AGC coordination and control includes: The coordinated control process for tracking AGC commands in wind, solar, and energy storage power plants consists of a command issuance stage and a unit response stage. The command issuance stage distributes the target value of the AGC command received by the remote control system to each wind, solar, and energy storage unit. The unit response stage, based on the constraints of the units, constructs an optimized scheduling model with the minimum tracking error to reasonably distribute the AGC commands issued by the upper-level power grid to each unit, enabling the wind, solar, and energy storage power plants to work together to track the AGC commands. The participation of wind, solar, and energy storage power plants in AVC coordinated control includes: The coordinated control of wind, solar, and energy storage power plants using AVC commands takes the grid connection voltage / power factor of the power plant as the control object. The coordinated control is executed in a two-level control mode: master station level and subarray level. The first level is the wind, solar, and energy storage master station level, which distributes the target value of the AVC command received by the remote control system to each wind and solar unit and issues it to the wind farm and solar monitoring system for execution. At the same time, it considers the action sequence and coordination with SVC / SVG, main transformer taps, and energy storage. The second level is the wind, solar, and energy storage subarray level, which coordinates the distribution of reactive power commands among the wind, solar, and energy storage units according to their respective active power output status and reactive power availability margin. Wind, solar, and energy storage power plants participate in primary frequency regulation coordination control, including: When wind, solar and energy storage power plants participate in primary frequency regulation, the frequency value of the grid connection point of the wind, solar and energy storage power plants is used as the coordinated control object. The coordinated control process consists of a multi-power generation cascade collaborative control link and a primary frequency regulation control link for wind, solar and energy storage sub-arrays. The multi-power tiered collaborative control loop collaboratively sets the primary frequency regulation dead zone, lag time, and droop rate thresholds for various power sources; the primary frequency regulation control links for wind, solar, and energy storage subarrays adopt an equally adjustable ratio subarray-level primary frequency regulation control strategy to allocate the frequency regulation power among wind, solar, and energy storage units.

4. The optimized scheduling and coordinated control method for a wind-solar-storage new energy power station according to claim 3, characterized in that, The optimized scheduling model is an optimized scheduling model with tracking power deviation as the objective function, specifically as follows: In the formula, for t The sum of the power generation plans of each power generation unit in the combined power generation system under the time-of-use planning mode; for t Energy storage and discharge power at all times; for t Real-time energy storage and charging power; for t The amount of active power that is constantly curtailed, whether wind or solar, only occurs when wind or solar power units are operating beyond their capacity. When the output of wind or solar power units is insufficient, the amount of curtailed wind or solar power is zero. for t Always plan and issue output commands; This refers to the tracking deviation under the planned mode.

5. The optimized scheduling and coordinated control method for wind-solar-storage new energy power plants according to claim 3, characterized in that, Wind, solar, and energy storage power plants participate in AVC (Automatic Ventilation Control) coordination and control, specifically including: (1) The AVC of the wind-solar-storage power station receives the grid dispatch instructions and automatically calculates the reactive power regulation required for the reactive power voltage regulation of the wind-solar-storage power station; (2) Collect signals from wind turbines in each wind farm, photovoltaics in each photovoltaic field, energy storage units, and reactive power compensation equipment; determine the adjustment range of reactive power of each wind farm, photovoltaic field, and energy storage in the area, and collect the reactive power that can be generated by each reactive power generating device. (3) Compare the reactive power regulation required for the reactive voltage regulation of the wind-solar-storage power station with the reactive power capacity that the SVG / SVC can generate. If the required reactive power regulation is greater than the reactive power capacity that the SVG / SVC can generate, then the SVG / SVC will generate at full capacity and proceed to the next step; otherwise, the required reactive power regulation will be reasonably allocated to the SVG / SVC and proceed to step (6). (4) Compare the remaining required reactive power regulation with the reactive power capacity that the energy storage can generate. If the required reactive power regulation is greater than the reactive power capacity that the energy storage can generate, then the energy storage is fully utilized and proceed to the next step; otherwise, the required reactive power regulation is reasonably allocated to the energy storage and proceed to step (6). (5) Compare the remaining reactive power regulation amount after allocation with the reactive power capacity that the wind farm and solar power can generate. If the remaining required reactive power regulation amount is greater than the reactive power capacity that the wind farm and solar power can generate, then the wind and solar power will be fully generated and proceed to the next step; otherwise, the required reactive power regulation amount will be allocated reasonably. (6) Distribute the reactive power allocation to each field, and each field will send the received control commands to each unit within its field; (7) Based on whether the required reactive power dispatch amount has been reached and to what extent it has been reached, determine whether the automatic voltage control target has been achieved. If it has been achieved, exit the process; otherwise, proceed to step (9). (8) Based on the measured grid connection point voltage after adjustment, determine whether the voltage after the above steps is within the normal range. If it is, continue to judge; if not, adjust the transformer tap position to further optimize the voltage. (9) Finally, if the voltage control target is not met, determine whether the fault range has been reached. If the fault is found, enter the fault state. If neither is met, restart the automatic voltage control.

6. The optimized scheduling and coordinated control method for a wind-solar-storage new energy power station according to claim 3, characterized in that, Wind, solar, and energy storage power plants participate in primary frequency regulation coordination control, specifically including: In the multi-power cascade coordinated control stage, various types of power sources participate in primary frequency regulation in a cascade coordinated manner, and the primary frequency regulation of new energy simulates the primary frequency regulation characteristics of traditional thermal power units. In the primary frequency regulation control stage of wind, solar, and energy storage subarrays, a frequency regulation control strategy based on equal adjustable proportional control is adopted; according to the equal adjustable capacity ratio mode, the control layer coordinates the power regulation commands received by photovoltaic subarray i. for: In the formula For the maximum output of subarray i, This is the power station's total maximum output. The total active power output of the power station before the disturbance occurred. The active power output of subarray i before the disturbance occurs. The total power change borne by the power station.

7. The optimized scheduling and coordinated control method for a wind-solar-storage new energy power station according to claim 3, characterized in that, In the primary frequency regulation simulation of new energy units, when the system frequency fluctuates slightly, the energy storage power station first participates in the primary frequency regulation, then the photovoltaic power station participates in the primary frequency regulation, and finally the wind farm participates in the primary frequency regulation, so as to realize the tiered and coordinated participation of various types of units in the primary frequency regulation.

8. An optimized scheduling and coordinated control system for a wind-solar-storage new energy power station, based on the optimized scheduling and coordinated control method for a wind-solar-storage new energy power station as described in any one of claims 1 to 7, characterized in that, include: The optimized scheduling module is used to optimize the scheduling of wind, solar and energy storage power plants by taking short-term scheduling plan instructions and wind and solar power prediction curves as inputs, and by allocating scheduling plan instructions and ultra-short-term-real-time rolling scheduling. The coordination control module is used to take grid-side AGC and AVC commands or grid connection point frequency deviation signals as input, and through the tiered coordinated control of active and reactive power sources inside the wind, solar and energy storage power station, enable the wind, solar and energy storage power station to participate in the coordinated control of AGC, AVC and primary frequency regulation auxiliary services.

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