Wind and solar power unit emergency control power allocation strategy generation method and system

Abstract

The present invention belongs to the technical field of wind-solar unit emergency control, and provides a method and system for generating wind-solar unit emergency control power allocation strategy. Among them, the power grid control target, the initial output power of the wind-solar unit cluster and the working status of the wind-solar unit cluster are obtained; according to the wind-solar unit cluster emergency control power allocation optimization model and the above-obtained information, with the purpose of minimizing the adjustment cost, under preset constraints, the active power adjustment amount of each wind-solar unit is obtained; among them, the wind-solar unit cluster emergency control power allocation optimization model is the overall adjustment cost after all devices participate in the response, and the weighted sum of the deviation amount of the device cluster regulation result and the system control target; the overall adjustment cost after all devices participate in the response is the cumulative sum of the total cost of the wind turbine participating in the power grid emergency control and the total cost of the photovoltaic unit participating in the power grid emergency control.

Description

Technical Field

[0001] The present invention belongs to the technical field of wind-solar unit emergency control, and in particular relates to a method and system for generating a wind-solar unit emergency control power allocation strategy. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] With the integration of a high proportion of renewable energy into the power grid, the dynamic response of the power system has changed significantly. The equivalent inertia of the system has decreased, and the risk of power grid power angle instability has increased under large disturbance events such as short-circuit faults. The common means of load shedding for emergency control has a greater impact on users, and the social tolerance for large-scale extensive shedding methods is low. As the output space of traditional units is compressed, synchronous machines no longer have the ability to support large-capacity emergency control.

[0004] Wind and solar power sources are connected to the grid using electronic devices, and their power regulation efficiency far exceeds that of traditional thermal power or hydropower units. They can provide more flexible and convenient power support in future highly electronic power systems. However, at this stage, most new energy units use maximum power tracking mode or limited power operation mode, and their active power support capabilities are not considered. The emergency power control process has strict time requirements. Large clusters often contain hundreds or even more units. It is unrealistic to require all units to participate in decision-making in a short period of time. This results in an excessively large optimization decision space, which increases the difficulty of searching and reduces the cluster response efficiency; if all units participate in the action, it will aggravate the wear and aging of the units and worsen the working condition of the units.

[0005] In summary, the power allocation of wind and solar clusters during emergency control only depends on the available capacity or adjustment margin of wind and solar units without considering the actual operating status of the units, which cannot meet the emergency power dispatch response requirements. Summary of the invention

[0006] In order to solve the technical problem that the power allocation of wind and solar clusters in the above-mentioned emergency control process only relies on the available capacity or adjustment margin of wind and solar units without considering the actual operating status of the units, and cannot meet the emergency power scheduling response requirements, the present invention provides a method and system for generating an emergency control power allocation strategy for wind and solar units, which can accurately achieve the emergency control goals of the power grid and improve the efficiency and economy of the wind and solar clusters, while ensuring the health of the units.

[0007] In order to achieve the above object, the present invention adopts the following technical solution:

[0008] A first aspect of the present invention provides a method for generating an emergency control power allocation strategy for a wind-solar generator set.

[0009] In one or more embodiments, a method for generating a wind-solar generator set emergency control power allocation strategy is provided, comprising:

[0010] Obtain the grid control target, the initial output power of the wind and solar cluster, and the working status of the wind and solar cluster;

[0011] According to the wind and solar power cluster emergency control power allocation optimization model and the above-mentioned information, with the purpose of minimizing the adjustment cost, under the preset constraints, the active power adjustment amount of each wind and solar power unit is obtained;

[0012] Among them, the wind and solar cluster emergency control power allocation optimization model is the weighted sum of the overall regulation cost after all devices participate in the response and the deviation between the device cluster regulation result and the system control target;

[0013] The total regulation cost after all devices participate in the response is the sum of the total cost of wind turbines participating in the grid emergency control and the total cost of photovoltaic units participating in the grid emergency control.

[0014] As an implementation mode, the total cost of the wind turbine generator system participating in the emergency control of the power grid is obtained based on whether the wind turbine generator system participates in the response for shutdown control, the accumulated sum of the costs of individual wind turbine generator systems and the proportional factor of the sum to the total cost.

[0015] As an implementation method, the cumulative sum of the costs of a single wind turbine set is the cumulative sum of the shutdown wear cost, the set state control cost and the power regulation amount cost of a single wind turbine set participating in grid emergency control constructed during the wind turbine set shutdown process.

[0016] As an implementation manner, the downtime wear cost is obtained by weighted summing of the rotation speed regulation cost and the pitch angle regulation cost.

[0017] As an implementation method, the total cost of the photovoltaic unit participating in the emergency control of the power grid is determined by matching the photovoltaic unit downward control cost and the photovoltaic unit upward control cost constructed according to the photovoltaic emergency adjustment process, and then combining the power adjustment amount to obtain the total cost.

[0018] As an implementation mode, the constraint conditions include: a first constraint condition, a second constraint condition and a third constraint condition;

[0019] The first constraint condition represents that the overall response of the equipment cluster should meet the minimum overcut principle, that is, the upward or downward adjustment amount exceeds the difference between the power target value and the initial value;

[0020] The second constraint represents that the PV unit can continuously adjust the power, and the upper limit of the power regulation is the minimum power prediction within a certain time window;

[0021] The third constraint means that the wind turbine can only participate in emergency control by cutting off the turbine.

[0022] A second aspect of the present invention provides a system for generating a wind-solar generator set emergency control power allocation strategy.

[0023] In one or more embodiments, a system for generating a wind-solar generator set emergency control power allocation strategy includes:

[0024] An information acquisition module, which is used to obtain the power grid control target, the initial output power of the wind and solar power cluster, and the working status of the wind and solar power cluster;

[0025] A power allocation module is used to obtain the active power adjustment amount of each wind and solar generator under preset constraints, with the purpose of minimizing the adjustment cost, based on the wind and solar generator cluster emergency control power allocation optimization model and the above-mentioned information;

[0026] Among them, the wind and solar cluster emergency control power allocation optimization model is the weighted sum of the overall regulation cost after all devices participate in the response and the deviation between the device cluster regulation result and the system control target;

[0027] The total regulation cost after all devices participate in the response is the sum of the total cost of wind turbines participating in the grid emergency control and the total cost of photovoltaic units participating in the grid emergency control.

[0028] As an implementation mode, the constraint conditions include: a first constraint condition, a second constraint condition and a third constraint condition;

[0029] The first constraint condition represents that the overall response of the equipment cluster should meet the minimum overcut principle, that is, the upward or downward adjustment amount exceeds the difference between the power target value and the initial value;

[0030] The second constraint represents that the PV unit can continuously adjust the power, and the upper limit of the power regulation is the minimum power prediction within a certain time window;

[0031] The third constraint means that the wind turbine can only participate in emergency control by cutting off the turbine.

[0032] In one or more embodiments, a system for generating a wind-solar unit emergency control power allocation strategy is also provided, comprising:

[0033] Single-machine device layer, device cluster layer and cloud control center;

[0034] The single-machine equipment layer senses the real-time operating status of the single-machine wind turbine and photovoltaic units and calculates the regulation capacity;

[0035] The device cluster layer is used to aggregate and upload the adjustment capabilities and adjustment costs of each single-machine device layer within its control area;

[0036] The cloud control center is used to summarize the adjustable capabilities and regulation costs of all equipment cluster layers, form an emergency control power allocation optimization model for wind and solar generator clusters, and calculate the active power regulation amount of each wind and solar generator under preset constraints for the purpose of minimizing the regulation cost. The active power regulation amount is then sent to the corresponding single-machine equipment layer via the equipment cluster layer.

[0037] A third aspect of the present invention provides an electronic device.

[0038] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the method for generating a wind-solar generator set emergency control power allocation strategy as described above are implemented.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention analyzes the emergency control response characteristics and shutdown process of wind and solar units, establishes the total cost of wind turbines and photovoltaic units participating in the emergency control of the power grid, and then combines the equipment cluster regulation results and the deviation of the system control target to construct an emergency control power allocation optimization model for the wind and solar unit cluster. Then, the optimization is performed with the maximum regulation capacity of the wind and solar units as the boundary, and the active power regulation amount of each wind and solar unit is obtained. The regulation potential of the wind and solar units in the emergency control process of the power grid is fully excavated, and the problem of poor control effect or even failure of traditional emergency control measures such as machine shedding and load shedding in the high-proportion new energy grid-connected system is solved. It has strong adaptability in the emergency control of large-scale distributed wind and solar grid-connected systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0042] Figure 1 It is a flow chart of a method for generating a wind-solar unit emergency control power allocation strategy according to an embodiment of the present invention;

[0043] Figure 2 is a schematic diagram of evaluating the regulating capability of a wind-solar unit according to an embodiment of the present invention;

[0044] Figure 3 Schematic diagram of the structure of a wind-solar unit emergency control power allocation strategy generation system according to an embodiment of the present invention;

[0045] Figure 4 is a schematic diagram of an electronic device according to an embodiment of the present invention;

[0046] Figure 5 It is a hierarchical aggregation management and control architecture of wind and solar power sources according to an embodiment of the present invention;

[0047] Figure 6 It is a schematic diagram of the generation principle of the wind-solar generator set emergency control power allocation strategy according to an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0049] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0050] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0051] Figure 1 FIG. 1 is a flow chart of a method for generating a wind-solar unit emergency control power allocation strategy according to an embodiment of the present invention. Figure 1 The method for generating an emergency control power allocation strategy for a wind-solar generator set in the present embodiment shown may include:

[0052] S101, obtaining a power grid control target, an initial output power of a wind-solar generator cluster, and a working status of the wind-solar generator cluster.

[0053] For example, the power grid control target is P g,ref , the initial output power of the wind and solar cluster is P g,t ;

[0054] The working status of the wind-solar turbine cluster includes but is not limited to the speed and pitch angle of the wind turbine before shutdown, the actual working value of the photovoltaic unit, etc.

[0055] S102, according to the wind and solar power generator cluster emergency control power allocation optimization model and the above-obtained information, with the purpose of minimizing the adjustment cost, under preset constraints, obtain the active power adjustment amount of each wind and solar power generator.

[0056] In actual operation, the voltage and frequency fluctuations of the power grid have a certain impact on the real-time working state of the unit. Under the condition that the equipment can operate stably without being disconnected from the grid, the power of the unit will quickly return to the steady-state operating level after the fault is removed. Existing actual projects have proved that the unit still has the ability to participate in emergency control under conditions of slight power fluctuations, so the slight difference in the unit power caused by the fluctuation of the power grid state is ignored. For wind power and photovoltaic units, their adjustment capacity range needs to be accurately evaluated in combination with the power forecast value within the adjustment duration. The power adjustment duration required by the power grid is generally more than five minutes, and the power of new energy units within five minutes has great volatility. Therefore, the starting point is defined as the evaluation time, and the power limit value from the starting point to the adjustment demand duration window is used as the maximum adjustment capacity of the unit.

[0057] The premise for the unit to adopt power control is that the response target should be within the maximum output power range. Therefore, short-term power prediction is required before the unit regulation capability is evaluated. At present, many studies have been carried out on power prediction methods, and the prediction accuracy can meet the needs of emergency control. Since power prediction is not within the scope of this patent, the historical output curve of the wind and solar units is added with noise to simulate the prediction error to meet the optimization requirements of the subsequent power matching model.

[0058] Figure 2 is the unit power prediction curve, where T is the duration of the grid emergency control requirement, and t0 is the evaluation time. The yellow curve is the output power in the maximum power tracking mode, and the green curve represents the working curve in the power limiting mode. When evaluating with the grid stability demand as the main goal, considering that the time when the unit receives the superior's instructions may be any time between two adjacent scheduling times, the minimum value of the power curve in the time range [t0, t0+T] is defined as the maximum value of the unit power reduction, and the difference between the limited power operation value and the minimum value of the prediction curve in the range [t0, t0+T] is the maximum limit of power increase. Although this evaluation method brings certain errors, it provides sufficient margin for the unit to fully respond to the superior's instructions.

[0059] In this embodiment, the wind and solar cluster emergency control power allocation optimization model is the weighted sum of the overall regulation cost after all devices participate in the response and the deviation between the device cluster regulation result and the system control target.

[0060] The total adjustment cost after all devices participate in the response is the cumulative sum of the total cost of wind turbines participating in the grid emergency control and the total cost of photovoltaic units participating in the grid emergency control. The total cost of wind turbines participating in the grid emergency control is obtained based on whether the wind turbines participate in the response for shutdown control, the cumulative sum of the costs of individual wind turbines and the proportion factor of the total cost.

[0061] The cumulative sum of the costs of a single wind turbine unit is the cumulative sum of the shutdown wear cost, unit state control cost and power regulation cost of a single wind turbine unit participating in the emergency control of the power grid constructed during the shutdown process of the wind turbine unit. The shutdown wear cost is obtained by the weighted sum of the speed regulation cost and the pitch angle regulation cost.

[0062] The total cost of the photovoltaic unit participating in the emergency control of the power grid is determined by matching the photovoltaic unit downward control cost and the photovoltaic unit upward control cost constructed according to the photovoltaic emergency adjustment process, and then combining the power adjustment amount to obtain the total cost.

[0063] The specific construction process of the wind-solar generator cluster emergency control power allocation optimization model is given below:

[0064] The construction process of the total cost of wind turbines participating in grid emergency control is:

[0065] When a wind turbine is shut down normally, it follows multiple control steps such as reducing the speed, disconnecting the grid-connected switch, stopping power generation, stopping the blades, and locking the control cabinet. The time consumed by the speed from the initial state to the level where the grid-connected switch can be disconnected varies depending on the type of unit, generally within a few minutes to half an hour. This process cannot meet the needs of emergency control of the power grid. In order to prevent the further spread of the power grid fault, the grid-connected switch is usually disconnected before the unit starts the emergency shutdown control to cut off the connection between the unit and the power grid. After disconnecting the switch, the emergency shutdown program will quickly adjust the blade pitch angle to stop the rotation of the wind rotor and reduce the input power of the wind turbine. In addition to pneumatic brakes, the system will activate the mechanical brake system in an emergency, using methods such as gearboxes, wet discs or dry disc brakes to provide sufficient braking force to protect the unit. Through the analysis of the braking process of wind turbines, it can be seen that the shutdown cost mainly depends on the actual speed level of the wind turbine and the real-time working status of the unit.

[0066] After the wind turbine disconnects the grid-connected switch, the air brake is used to reduce the speed to a certain level, and then the mechanical brake is used to completely stop the unit and adjust the pitch angle to 90 degrees. Therefore, the control cost generated by the shutdown process includes two parts: the higher the speed of the unit before shutdown, the longer the shutdown process, and the greater the impact on the efficiency of the system power control response; the unit will cause certain wear due to the pitch angle adjustment, and when the speed is too high, some units will trigger mechanical braking to cause additional mechanical losses. Therefore, the shutdown wear cost is defined as formula (1).

[0067] C1=c 1,w ω / ω max +c 1,β (1-β / 90) (1)

[0068] Where c 1,w、c 1,β are the speed and pitch angle adjustment cost factors, ω and ω respectively. max is the actual speed and the maximum speed allowed by the unit, and β is the pitch angle. Formula (1) shows that the shutdown cost consists of two parts: the first part represents the impact of the unit speed level on power control. The faster the speed, the deeper the impact of shutdown delay on the timeliness of emergency control; the second part indicates that the smaller the pitch angle before the unit is adjusted, the greater the adjustment degree after shutdown, and the more serious the mechanical wear.

[0069] When the unit receives instructions for regulation, its real-time regulation capability is limited by its own working state and output level. Wind turbines can only participate in grid emergency control by cutting off the machine, so the impact of the unit state on the response priority is evaluated by considering power reduction. When the state parameters meet the maximum power tracking operation mode, it means that the unit is working normally at the peak of the optimal curve at this moment. When the unit is selected for priority shutdown, a higher power margin can meet the minimum overcut principle and improve the response success rate of grid emergency control. Switching the unit in the maximum power mode to the fixed power state can reduce the impact of uncontrolled units on the grid and prevent the free change of unit power from exacerbating the fault situation. Therefore, the definition formula (2) uses the state parameters to characterize the actual state level of the unit, and the definition formula (3) reflects the control cost reflected by the unit state.

[0070]

[0071] C2=c 2,x (1-x) (3)

[0072] Where c 2,x is the working state adjustment cost factor, ω mppt is the theoretical optimal speed in the maximum power tracking mode. Formula (3) shows that the farther the real-time state of the unit deviates from the optimal state, the higher the adjustment cost.

[0073] The third part is the control cost corresponding to the unit regulation. There is no difference in the object of power reduction on the grid side. It is only necessary to achieve the control target through the combination of equipment. Therefore, this part of the cost only considers the impact of the real-time output power of the unit. Since the wind turbine can only participate in the response by cutting the machine, the equipment response is equal to the real-time power of the unit when receiving the command. Therefore, the definition of formula (4) is used to characterize the corresponding cost of the power regulation.

[0074] C3=c 3,adj P t (4)

[0075] Where c 3,adj is the power regulation cost factor, P t is the actual active power of the unit. In summary, the total cost of wind turbines participating in grid emergency control is:

[0076]

[0077] where x u It is a 0-1 variable, representing whether the unit participates in the response and performs shutdown control; c st is the ratio factor of the three parts of the adjustment cost to the total cost. This parameter is determined by the emphasis of the operator on the unit evaluation. st The larger it is, the greater the loss of this part in the unit regulation cost. The actual application is determined by the unit group status.

[0078] The construction process of the total cost of PV units participating in grid emergency control is:

[0079] Photovoltaic units rely on power electronic devices to connect to the grid, and the power regulation process basically does not involve the control of mechanical devices. When the power grid issues an emergency control command, the photovoltaic system immediately disconnects the grid-connected circuit breaker and disconnector, and stops the photovoltaic unit from continuing to output power. According to the control command, the photovoltaic unit will switch from the maximum power tracking mode to the fixed power control for power adjustment. This process is consistent with the wind turbine, so the components are basically the same as the wind turbine except for the mechanical adjustment cost.

[0080] The photovoltaic power regulation rate is determined by the performance of power electronic devices, and the regulation delay time basically meets the emergency control requirements. Therefore, the power regulation amount of the photovoltaic unit is a continuous range within the current maximum output capacity.

[0081] The photovoltaic unit in the maximum power tracking mode only has the ability to reduce power. The power adjustment range is all continuous values ​​below the current output level. The power reduction process is basically similar to that of the wind turbine. Therefore, the control cost of the photovoltaic unit during the reduction is defined as:

[0082]

[0083] In the formula, c adj 、c x are the power regulation cost factor and the unit real-time working state cost factor respectively. t is the actual active power of the unit before regulation. ΔP is the unit response power. st Represents the proportion of each part of the cost. The specific meaning is the same as the wind turbine adjustment cost and will not be repeated here. x is the working state of the photovoltaic unit. It is similar to the definition of the wind turbine state. The ratio of the DC voltage of the photovoltaic unit to the reference voltage in the maximum power tracking mode is used to represent the unit state, which is expressed by formula (7).

[0084]

[0085] Where V i,mppt is the voltage reference value, V iis the actual working value. Based on formula (7), in the maximum power tracking mode, the state cost of the units is zero, which means that all units in this mode have the same state response priority and need to be distinguished based on other parameters.

[0086] The real-time output of the photovoltaic unit in the power-limited mode has a certain upward adjustment space. The power adjustment range is from the current output of the unit to the power reference value in the maximum power tracking mode. Therefore, the power upward adjustment ability of the unit is limited by the accuracy of power prediction. Different from the power down-regulation, the closer the unit state is to the optimal control state, the smaller the adjustment space it has, and the lower the response priority should be. Therefore, the state adjustment cost of the second part is different. The overall cost of power up-regulation is defined as formula (8), and the meaning of the parameters in the formula is consistent with formula (6) and will not be repeated.

[0087]

[0088] In summary, the emergency control cost of the photovoltaic unit is shown in formula (9). Where ΔP is the power adjustment amount, with downward adjustment as positive. During scheduling, the photovoltaic unit can only adopt one of the modes to participate in the response.

[0089]

[0090] The cluster emergency control power allocation optimization model is:

[0091] By moving the time window, the regulation performance information of the terminal unit can be dynamically obtained, and then a power matching model considering the differences in regulation characteristics of different units can be established. The total regulation cost, i.e., the model objective function, is shown in formula (10).

[0092]

[0093] Where k1 and k2 are weight factors, P g,ref is the power grid control target, P g,t is the initial output power of the equipment cluster, ΔP adj It is the sum of the actual regulation amounts of all wind and solar units in the same cluster. W and P represent the number of wind turbines and photovoltaic units that can participate in emergency control in the cluster, respectively. The total regulation cost consists of two parts: the first part is the deviation between the equipment cluster regulation result and the system control target. The larger the deviation, the more the control fails to accurately achieve the target, and the higher the corresponding control cost; the second part represents the overall regulation cost after all equipment participates in the response. The higher the unit response amount within a certain regulation range, the more accurate the overall control result of the cluster, the smaller the cost caused by the power deviation, but the higher the equipment response cost, so it is necessary to use a suitable optimization algorithm to solve the optimization model.

[0094] The model constraints are defined as equation (11).

[0095]

[0096] Where P r is the minimum power value predicted by the photovoltaic unit in a short time window in the future, P t+1 The power control target assigned to the photovoltaic system. u It is the sign of wind turbines participating in emergency control. When it is 1, it means the wind turbines participate in the response. The first constraint condition represents that the overall response of the equipment cluster should meet the minimum overcut principle, that is, the upward or downward adjustment exceeds the difference between the power target value and the initial value; the second constraint condition represents that the photovoltaic unit can continuously adjust the power, and the upper limit of the power adjustment is the minimum power prediction value within a certain time window; and the wind turbine can only participate in emergency control by cutting the machine, so it is characterized by the third constraint condition.

[0097] In this embodiment, the existing mature solver Cplex can be combined with yalmip to solve the emergency control power allocation optimization model of the wind and solar power cluster. These two commercial solvers have the characteristics of modeling boundaries and excellent performance when dealing with large-scale optimization problems, which meet the needs of power optimization matching under the emergency control time scale.

[0098] Figure 3 This is a schematic diagram of the structure of a wind-solar unit emergency control power allocation strategy generation system in an embodiment of the present invention. Figure 1 The wind and solar power unit emergency control power allocation strategy generation method corresponds to Figure 3 As shown, the wind-solar unit emergency control power allocation strategy generation system in this embodiment may include:

[0099] An information acquisition module 301 is used to acquire a power grid control target, an initial output power of a wind-solar generator cluster, and a working status of the wind-solar generator cluster;

[0100] The power allocation module 302 is used to obtain the active power adjustment amount of each wind and solar generator under preset constraints, with the purpose of minimizing the adjustment cost, according to the wind and solar generator cluster emergency control power allocation optimization model and the above-mentioned acquired information;

[0101] Among them, the wind and solar cluster emergency control power allocation optimization model is the weighted sum of the overall regulation cost after all devices participate in the response and the deviation between the device cluster regulation result and the system control target;

[0102] The total regulation cost after all devices participate in the response is the sum of the total cost of wind turbines participating in the grid emergency control and the total cost of photovoltaic units participating in the grid emergency control.

[0103] The constraints include: the first constraint, the second constraint and the third constraint;

[0104] The first constraint condition represents that the overall response of the equipment cluster should meet the minimum overcut principle, that is, the upward or downward adjustment amount exceeds the difference between the power target value and the initial value;

[0105] The second constraint represents that the PV unit can continuously adjust the power, and the upper limit of the power regulation is the minimum power prediction within a certain time window;

[0106] The third constraint means that the wind turbine can only participate in emergency control by cutting off the turbine.

[0107] The specific construction process of the wind-solar generator cluster emergency control power allocation optimization model is the same as the process in the wind-solar generator cluster emergency control power allocation strategy generation method, and will not be described in detail here.

[0108] It should be noted here that Figure 3 The information acquisition module 301 and the power allocation module 302 in the wind and solar power unit emergency control power allocation strategy generation system are Figure 1 The specific implementation process of step S101 and step S102 in the method for generating the emergency control power allocation strategy of the wind-solar generator set is the same and will not be repeated here.

[0109] Reference Figure 4 , a schematic diagram of an electronic device is given. It should be noted that, Figure 4 The electronic device 400 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0110] like Figure 4 As shown, electronic device 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage portion 408 into a random access memory (RAM) 403. In RAM 403, various programs and data required for system operation are also stored. Central processing unit 401, ROM 402 and RAM 403 are connected to each other via bus 404. Input / output (I / O) interface 405 is also connected to bus 404.

[0111] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a local area network (LAN) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed so that a computer program read therefrom is installed into the storage section 408 as needed.

[0112] When the central processing unit 401 in the electronic device of this embodiment executes the program, the following is achieved: Figure 1 The steps in the method for generating an emergency control power allocation strategy for a wind-solar generator set are shown.

[0113] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer readable medium, the computer program including a computer program for executing Figure 1 In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit 401, various functions defined in the apparatus of the present application are executed.

[0114] in, Figure 1 The computer program instructions corresponding to the method shown may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0115] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0116] In one or more embodiments, Figure 5 and Figure 6 As shown, a system for generating a wind-solar unit emergency control power allocation strategy is also provided, which includes:

[0117] Single-machine device layer, device cluster layer and cloud control center;

[0118] The single-machine equipment layer senses the real-time operating status of the single-machine wind turbine and photovoltaic units and calculates the regulation capacity;

[0119] The device cluster layer is used to aggregate and upload the adjustment capabilities and adjustment costs of each single-machine device layer within its control area;

[0120] The cloud control center is used to summarize the adjustable capabilities and regulation costs of all equipment cluster layers, form an emergency control power allocation optimization model for wind and solar generator clusters, and calculate the active power regulation amount of each wind and solar generator under preset constraints for the purpose of minimizing the regulation cost. The active power regulation amount is then sent to the corresponding single-machine equipment layer via the equipment cluster layer.

[0121] During steady-state operation, the regulation capability and cost of wind and solar power sources are aggregated and uploaded layer by layer to the grid control center to generate emergency control strategies in a rolling manner; when the strategy matches successfully, the control center directly issues the control target value of each grid-connected cluster, which is distributed to the terminal device through the middle layer to complete the command execution. The system control center covers multiple mechanisms including equipment capability evaluation, status update, cost calculation, information aggregation, and strategy generation and distribution. It realizes decoupled control between different levels through a layered architecture, which reduces the data communication burden compared to the centralized control architecture of a single device.

[0122] The corresponding wind and solar power control simulation program is developed for the cluster emergency control architecture. The general device model and interface design are constructed by combining Python with MATLAB to realize the access of the grid stability control algorithm. There are differences in the physical characteristics, state parameters, and control modes of different devices, such as the speed and pitch angle state of wind turbines, while the state parameters of photovoltaic cells are for photovoltaic units. On the other hand, different devices have certain uniformity in response. Wind turbines and photovoltaic units both adopt fixed power control mode during power control, and both need to be calculated based on the unit state when evaluating the control cost, which provides the possibility for the unified construction of the model. In order to realize the adaptability of different devices and different matching algorithms to the proposed framework, modules are constructed from different levels based on the object-oriented idea. The standardization, modularization and interface of the simulation model are realized by constructing class interfaces of various functions, and the scalability of the framework is improved by adopting the idea of ​​class derivation.

[0123] The wind-solar unit emergency control power allocation strategy generation system of the present invention analyzes the shutdown process of the wind turbine unit, constructs the wind turbine emergency control cost from three aspects: mechanical, state and power adjustment amount; analyzes the photovoltaic emergency adjustment process, constructs the photovoltaic emergency control cost from two aspects: state and power adjustment amount; aggregates and uploads the wind-solar unit adjustment information; establishes the objective function from two aspects: power instruction execution and adjustment cost, and constructs the emergency power optimization allocation model with the maximum adjustable power as the boundary condition. The mixed integer linear optimization model is solved by a commercial solver to obtain the final active power adjustment amount of each unit.

[0124] The wind and solar power unit emergency control power allocation strategy generation system of the present invention constructs a strategy for the problem of power optimization allocation of wind and solar cluster participating in power grid emergency control according to the idea of ​​"emergency control hierarchical architecture-control system implementation-regulation capability evaluation-regulation cost factor construction-time window translation-emergency power allocation optimization". By constructing a hierarchical control architecture of wind and solar power unit-equipment cluster-cloud control center, the terminal unit status information is fully and comprehensively mastered in real time. The emergency control system is built by combining Python and MATLAB to provide a general interface for information interaction with the power grid control center. According to the different states of the units, the up / down regulation capability of the units in the maximum power tracking mode and the limited power operation mode is evaluated respectively. At the same time, by analyzing the different response characteristics of the unit emergency control process, the unit emergency control cost is constructed from three parts: mechanical loss, working state and power regulation. By translating the time window, the emergency control system can dynamically obtain the unit emergency regulation performance information. When the emergency control command is issued, the command optimization allocation is carried out with the goal of minimizing the power adjustment error and the adjustment cost. The constructed mixed integer linear model greatly reduces the computational workload and saves more time for the subsequent operations required for the emergency control of the terminal unit.

[0125] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for generating a wind-solar unit emergency control power allocation strategy, characterized in that: include: Obtain the grid control target, the initial output power of the wind and solar cluster, and the working status of the wind and solar cluster; According to the wind and solar power cluster emergency control power allocation optimization model and the above-mentioned information, with the purpose of minimizing the adjustment cost, under the preset constraints, the active power adjustment amount of each wind and solar power unit is obtained; Among them, the wind and solar cluster emergency control power allocation optimization model is the weighted sum of the overall regulation cost after all devices participate in the response and the deviation between the device cluster regulation result and the system control target; The total regulation cost after all devices participate in the response is the sum of the total cost of wind turbines participating in the grid emergency control and the total cost of photovoltaic units participating in the grid emergency control; The total cost of the wind turbine participating in the emergency control of the power grid is: ； in It is a 0-1 variable, representing whether the unit participates in the response and performs shutdown control; It is the ratio factor of the three parts of adjustment cost to the total cost; in C 1 is the downtime wear cost, which is defined as: ; In the formula , are the speed and pitch angle adjustment cost factors respectively, and is the actual speed and the maximum speed allowed by the unit, is the pitch angle; The influence of the unit status on the response priority is evaluated by considering the power reduction method, and the actual status level of the unit is characterized by the status parameter, which is defined as: ; C 2 is the control cost reflected by the unit state, which is defined as: ; In the formula Adjust the cost factor for the working state, It is the theoretical optimal speed in the maximum power tracking mode; Considering the impact of the real-time output power of the unit, define C 3 is the corresponding cost of the power regulation amount, specifically: ; In the formula is the power regulation penalty factor, is the actual active power of the unit; The emergency control cost of the photovoltaic unit is, in is the power regulation amount; C p,down The control cost of the photovoltaic unit during the downward adjustment is as follows: ； In the formula, , They are power regulation cost factor and unit real-time working state cost factor respectively; To adjust the actual active power of the front unit; The response power of the unit; Represents the proportion of each part of the cost; The working status of the photovoltaic unit; The working state of the photovoltaic unit is characterized by the ratio of the DC voltage of the photovoltaic unit to the reference voltage in the maximum power tracking mode, specifically: ; In the formula is the voltage reference value, is the actual working value; C p,up The overall cost of power up-regulation is: .

2. The method for generating a wind-solar unit emergency control power allocation strategy according to claim 1, characterized in that: The total cost of the wind turbine generator set participating in the emergency control of the power grid is obtained based on whether the wind turbine generator set participates in the response for shutdown control, the accumulated sum of the costs of a single wind turbine generator set and the proportional factor of the sum to the total cost.

3. The method for generating a wind-solar unit emergency control power allocation strategy according to claim 2, characterized in that: The cumulative sum of the costs of a single wind turbine generator set is the cumulative sum of the shutdown wear cost, the unit state control cost and the power regulation amount cost of a single wind turbine generator set participating in power grid emergency control constructed during the shutdown process of the wind turbine generator set.

4. The method for generating a wind-solar unit emergency control power allocation strategy according to claim 3, characterized in that: The downtime wear cost is obtained by weighted summing the rotation speed regulation cost and the pitch angle regulation cost.

5. The method for generating a wind-solar unit emergency control power allocation strategy according to claim 1, characterized in that: The total cost of the photovoltaic unit participating in the emergency control of the power grid is determined by matching the photovoltaic unit downward control cost and the photovoltaic unit upward control cost constructed according to the photovoltaic emergency adjustment process, and then combining the power adjustment amount to obtain the total cost.

6. The method for generating a wind-solar unit emergency control power allocation strategy according to claim 1, characterized in that: The constraint conditions include: a first constraint condition, a second constraint condition and a third constraint condition; The first constraint condition represents that the overall response of the equipment cluster should meet the minimum overcut principle, that is, the upward or downward adjustment amount exceeds the difference between the power target value and the initial value; The second constraint represents that the PV unit can continuously adjust the power, and the upper limit of the power regulation is the minimum power prediction within a certain time window; The third constraint means that the wind turbine can only participate in emergency control by cutting off the turbine.

7. A system for generating emergency control power allocation strategy for wind and solar power units, characterized in that: include: An information acquisition module, which is used to obtain the power grid control target, the initial output power of the wind and solar power cluster, and the working status of the wind and solar power cluster; A power allocation module is used to obtain the active power adjustment amount of each wind and solar generator under preset constraints, with the purpose of minimizing the adjustment cost, based on the wind and solar generator cluster emergency control power allocation optimization model and the above-mentioned information; Among them, the wind and solar cluster emergency control power allocation optimization model is the weighted sum of the overall regulation cost after all devices participate in the response and the deviation between the device cluster regulation result and the system control target; The total regulation cost after all devices participate in the response is the sum of the total cost of wind turbines participating in the grid emergency control and the total cost of photovoltaic units participating in the grid emergency control; The total cost of the wind turbine participating in the emergency control of the power grid is: ； in It is a 0-1 variable, representing whether the unit participates in the response and performs shutdown control; It is the ratio factor of the three parts of adjustment cost to the total cost; in C 1 is the downtime wear cost, which is defined as: ; In the formula , are the speed and pitch angle adjustment cost factors respectively, and is the actual speed and the maximum speed allowed by the unit, is the pitch angle; The influence of the unit status on the response priority is evaluated by considering the power reduction method, and the actual status level of the unit is characterized by the status parameter, which is defined as: ; C 2 is the control cost reflected by the unit state, which is defined as: ; In the formula Adjust the cost factor for the working state, It is the theoretical optimal speed in the maximum power tracking mode; Considering the impact of the real-time output power of the unit, define C 3 is the corresponding cost of the power regulation amount, specifically: ; In the formula is the power regulation penalty factor, is the actual active power of the unit; The emergency control cost of the photovoltaic unit is, in is the power regulation amount; C p,down The control cost of the photovoltaic unit during the downward adjustment is as follows: ； In the formula, , They are power regulation cost factor and unit real-time working state cost factor respectively; To adjust the actual active power of the front unit; The response power of the unit; Represents the proportion of each part of the cost; The working status of the photovoltaic unit; The working state of the photovoltaic unit is characterized by the ratio of the DC voltage of the photovoltaic unit to the reference voltage in the maximum power tracking mode, specifically: ; In the formula is the voltage reference value, is the actual working value; C p,up The overall cost of power up-regulation is: .

8. The wind-solar unit emergency control power allocation strategy generation system according to claim 7, characterized in that: The constraint conditions include: a first constraint condition, a second constraint condition and a third constraint condition; The first constraint condition represents that the overall response of the equipment cluster should meet the minimum overcut principle, that is, the upward or downward adjustment amount exceeds the difference between the power target value and the initial value; The second constraint represents that the PV unit can continuously adjust the power, and the upper limit of the power regulation is the minimum power prediction within a certain time window; The third constraint means that the wind turbine can only participate in emergency control by cutting off the turbine.

9. A system for generating a wind-solar generator set emergency control power allocation strategy, the system adopts a wind-solar generator set emergency control power allocation strategy generating method as claimed in claim 1, characterized in that: include: Single-machine device layer, device cluster layer and cloud control center; The single-machine equipment layer senses the real-time operating status of the single-machine wind turbine and photovoltaic units and calculates the regulation capacity; The device cluster layer is used to aggregate and upload the adjustment capabilities and adjustment costs of each single-machine device layer within its control area; The cloud control center is used to summarize the adjustable capabilities and regulation costs of all equipment cluster layers, form an emergency control power allocation optimization model for wind and solar generator clusters, and calculate the active power regulation amount of each wind and solar generator under preset constraints for the purpose of minimizing the regulation cost. The active power regulation amount is then sent to the corresponding single-machine equipment layer via the equipment cluster layer.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the method for generating an emergency control power allocation strategy for a wind-solar generator set as described in any one of claims 1-6 are implemented.

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