AGC control method and system of new energy large base considering multi-energy complementation

Abstract

The invention relates to the technical field of new energy power generation, and provides an AGC control method and system for a new energy large base considering multi-energy complementation, and the method comprises the steps: carrying out the building of a dynamic weight model for different types of power stations through an AGC control system; based on the dynamic weight model of each power station, the AGC control system updates the dynamic weight of each power station in real time according to the operation condition of each power station in the current large base; and the new energy large base AGC control system obtains a power adjustment instruction of the new energy large base, performs power distribution according to the updated dynamic weight of each power station, and distributes the power to AGC substation systems of each power station in the large base through a communication protocol, thereby realizing actual output of a power distribution target. According to the invention, the adjustment weight of each energy source can be automatically adjusted according to the real-time working condition, strategy optimization is carried out in combination with the ultra-short-term power prediction result, and compared with the traditional AGC, the new energy contribution rate can be improved, the standby capacity demand can be reduced, and the power supply stability can be improved.

Description

Technical Field

[0001] The present invention relates to the field of new energy power generation technology, and in particular to an AGC control method and system for a large new energy base taking into account multi-energy complementarity. Background Art

[0002] Traditional regional AGC control often adopts the unified management and control of similar energy sources. Hydropower stations are uniformly controlled through hydropower centralized control, wind power and photovoltaic new energy power stations are uniformly distributed through new energy centralized control, and thermal power stations are individually controlled by dispatching.

[0003] This type of control method is suitable for traditional power generation sources, which have stable power output. With proper planning, it can ensure long-term stable grid operation. However, as the proportion of renewable energy continues to increase, fluctuations in renewable energy generation cannot be quickly suppressed through centralized control of renewable energy sources, making it difficult for other power plants to respond quickly to these fluctuations. Summary of the Invention

[0004] The purpose of the present invention is to solve at least one technical problem in the background technology and to provide an AGC control method and system for a large new energy base taking into account multi-energy complementarity.

[0005] To achieve the above objectives, the present invention provides an AGC control method for a large-scale new energy base taking into account multi-energy complementarity, comprising:

[0006] The AGC control system of a large new energy base establishes a dynamic weight model for each type of power station;

[0007] Based on the dynamic weight model of each power station, the AGC control system of the new energy large base updates the dynamic weight parameters of each power station participating in power regulation in real time according to the current operating conditions of each power station in the large base;

[0008] The AGC control system of the large new energy base obtains the power adjustment instructions of the large new energy base, distributes power according to the updated dynamic weights of each power station, and distributes it to the AGC substation system of each power station within the large base through communication protocols to achieve the actual output of the power distribution target.

[0009] According to one aspect of the present invention, in the dynamic weight models of different types of power stations, the dynamic weights are calculated by the following steps:

[0010] The dynamic weights of wind power stations and photovoltaic power stations are corrected by the accuracy of wind and solar short-term power forecasts;

[0011] The dynamic weight of the energy storage power station is modified by the energy storage SOC state;

[0012] The dynamic weight of the thermal power station is modified by the current regulation boundary value of the thermal power unit;

[0013] The dynamic weights of the hydropower stations are modified by the hydropower head and oscillation zone constraints.

[0014] According to one aspect of the present invention, the dynamic weights of the wind power station and the photovoltaic power station are corrected by the wind and solar short-term power prediction accuracy, including:

[0015] Calculate the prediction error quantification: Based on the historical data statistics of wind power stations and photovoltaic power stations in the near future, the prediction accuracy of wind power stations and photovoltaic power stations is evaluated by the power dispatching system. The prediction accuracy of wind power stations and photovoltaic power stations is δ 预测 85% to 90%;

[0016] Weight adjustment: If the wind and solar power prediction error is large, reduce the wind and solar power weight to avoid secondary frequency deviation caused by output fluctuations; if the prediction error is small, use new energy to respond to AGC instructions and increase the wind and solar power weight;

[0017] The weights of wind power stations and photovoltaic power stations are calculated as follows:

[0018]

[0019] According to one aspect of the present invention, the dynamic weight of the energy storage power station is corrected by the energy storage SOC state, including:

[0020] High SOC range: Energy storage is discharged first and charging is prohibited. The weight increases when the power is increased and decreases when the power is reduced. However, the maximum discharge power needs to be limited to prevent over-discharge.

[0021] Normal SOC range: Energy storage allows charging and discharging, and weights are dynamically allocated based on power regulation requirements;

[0022] Low SOC range: Energy storage is charged first and discharging is prohibited. The weight decreases when the power increases and increases when the power decreases.

[0023] The weights and weight calculation formulas for increasing and decreasing the power of the energy storage power station are:

[0024]

[0025] According to one aspect of the present invention, the dynamic weight of the thermal power station is modified by the current adjustment boundary value of the thermal power unit, including:

[0026] If the current output is close to the rated power of the thermal power plant and needs to be further increased, or if the current output is close to the minimum technical output of the thermal power plant and needs to be further reduced, reduce its weight to avoid overshoot;

[0027] Assuming the output percentage is δ, the weights of power increase and power decrease of the thermal power station and the weight calculation formula are:

[0028]

[0029] According to one aspect of the present invention, the dynamic weight of the hydropower station is corrected by the hydropower head and oscillation zone constraints, including:

[0030] Considering the effect of head change on output, the weight increases in high head state and decreases in low head state;

[0031] Considering the impact of the hydropower station oscillation zone, the weight of crossing the oscillation zone is reduced;

[0032] The weight calculation of a hydropower station needs to be divided into the following two steps. The weights of the power increase and power decrease of the hydropower station and the weight calculation formula are:

[0033]

[0034] Where h is the water head height, and 50 and 100 are the general dividing lines between high and low water heads. The parameters are set according to the actual situation of the hydropower station.

[0035]

[0036] Among them, p cur is the current power of the hydropower station, z low is the lower limit of the oscillation zone, z up is the upper limit of the oscillation zone, z d The boundary range of the oscillation zone is set to 5% of the rated power.

[0037] To achieve the above objectives, the present invention further provides an AGC control system for a large-scale new energy base taking into account multi-energy complementarity, comprising:

[0038] Dynamic weight model construction module: The AGC control system of a large new energy base establishes dynamic weight models for different types of power stations;

[0039] Dynamic weight parameter adjustment module: Based on the dynamic weight model of each power station, the AGC control system of the new energy base updates the dynamic weight parameters of each power station participating in power regulation in real time according to the current operating conditions of each power station in the base;

[0040] The power allocation target output module, the AGC control system of the new energy base obtains the power adjustment instructions of the new energy base, distributes power according to the updated dynamic weights of each power station, and distributes it to the AGC substation system of each power station within the large base through communication protocols to achieve the actual output of the power allocation target.

[0041] To achieve the above-mentioned objectives, the present invention also provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the AGC control method for a large new energy base taking into account multi-energy complementarity as described above is implemented.

[0042] To achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the AGC control method for a large new energy base considering multi-energy complementarity as described above is implemented.

[0043] According to the solution of the present invention, the present invention uses a dynamic weight algorithm instead of the traditional fixed weight in the AGC system of a large new energy base to perform power distribution and power calculation for various types of power stations. This method can represent the current operating status of each power station through weights, such as the difference in rising and falling power characteristics, power regulation costs, etc., and can give priority to using power stations with low regulation costs and good regulation effects for power regulation, thereby reducing the comprehensive power generation cost of large new energy bases.

[0044] The present invention uses different weight model algorithms for different types of power stations. Different weight calculation formulas are designed in the model based on the characteristics of different types of power stations. Factors such as new energy prediction accuracy, energy storage SOC, or the presence of hydropower stations and thermal power stations in unadjustable areas can be included in the same rating system, thereby improving the uniformity of various system parameters and facilitating unified calculation and allocation of the power allocation algorithm.

[0045] The control concept of the present invention can also be extended to engineering applications of integrated source, grid, load and storage, and is suitable for microgrids and regional power grids with multiple energy structures. It has a very wide range of application scenarios in the current power system with the continuous development of new energy and microgrids.

[0046] The present invention uses an automatic reactance calculation function, which can calculate and update the reactance of the power grid in real time. It can automatically adapt to the reactance changes caused by the reconstruction and expansion of the power station or other power stations in the surrounding power grid, improve the reactive power calculation accuracy, and further improve the voltage control accuracy of the power station.

[0047] This approach integrates various power plants within a specific area into a single, large-scale renewable energy base. Within this large base, a more intelligent AGC control method is used to achieve coordinated dispatching of wind, solar, hydro, thermal, and energy storage systems. This allows these energy sources to rapidly respond to the random fluctuations of renewable energy, improving the overall regulatory performance of the large-scale renewable energy base. When controlled by a higher-level power dispatch system, the large-scale renewable energy base can be considered a stable and reliable large-scale integrated power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 The flowchart schematically shows an AGC control method for a large-scale new energy base considering multi-energy complementarity according to an embodiment of the present invention. DETAILED DESCRIPTION

[0049] The present invention will now be discussed with reference to exemplary embodiments. It should be understood that the embodiments discussed are only intended to enable those skilled in the art to better understand and implement the present invention, rather than to imply any limitation on the scope of the present invention.

[0050] As used herein, the term "including" and variations thereof are to be interpreted as open-ended terms meaning "including, but not limited to." The term "based on" is to be interpreted as "based, at least in part, on." The terms "one embodiment" and "an embodiment" are to be interpreted as "at least one embodiment."

[0051] Figure 1 The flowchart schematically shows an AGC control method for a large-scale new energy base considering multi-energy complementarity according to an embodiment of the present invention. Figure 1 As shown, in this embodiment, the AGC control method of a large-scale new energy base considering multi-energy complementarity includes:

[0052] The AGC control system of a large new energy base establishes a dynamic weight model for each type of power station; among them, a large new energy base includes at least two different types of power stations, such as wind power stations, photovoltaic power stations, energy storage power stations, hydropower stations, and thermal power stations;

[0053] Based on the dynamic weight model of each power station, the AGC control system of the new energy large base updates the dynamic weight parameter (i.e., the value of the dynamic weight) of each power station participating in power regulation in real time according to the current operating conditions of each power station in the large base. The dynamic weight parameter range is 0-100%, with 0 indicating no participation in power regulation and 100% indicating maximum participation in power regulation.

[0054] The AGC control system of the large new energy base obtains (from the superior dispatching agency or through local manual settings) the power adjustment instructions of the large new energy base, distributes power according to the updated dynamic weights of each power station, and distributes it to the AGC substation system of each power station within the large base through communication protocols to achieve the actual output of the power allocation target.

[0055] Furthermore, according to one embodiment of the present invention, the dynamic weight allocation of each power station is intended to adaptively adjust the output ratio of each power source in the AGC instruction based on the real-time status and dynamic characteristics of each power source in the multi-energy complementary system, thereby solving the problem of insufficient flexibility in traditional fixed weight allocation. In this embodiment, in the dynamic weight model of each different type of power station, the dynamic weight is calculated through the following steps:

[0056] The dynamic weights of wind power stations and photovoltaic power stations are corrected by the accuracy of wind and solar short-term power forecasts;

[0057] The dynamic weight of the energy storage power station is modified by the energy storage SOC state;

[0058] The dynamic weight of the thermal power station is modified by the current regulation boundary value of the thermal power unit;

[0059] The dynamic weights of the hydropower stations are modified by the hydropower head and oscillation zone constraints.

[0060] Furthermore, according to an embodiment of the present invention, the dynamic weights of wind power stations and photovoltaic power stations are corrected by the wind and solar short-term power prediction accuracy, including:

[0061] Calculate the prediction error quantification: Based on the historical data statistics of wind power stations and photovoltaic power stations in the near future, the prediction accuracy of wind power stations and photovoltaic power stations is evaluated by the power dispatching system. The prediction accuracy of wind power stations and photovoltaic power stations is δ 预测 85% to 90%;

[0062] Weight adjustment: If the wind and solar power forecast error is large, the wind and solar power weight will be reduced to avoid secondary frequency deviation caused by output fluctuations. If the forecast error is small, renewable energy will be used to respond to AGC instructions and the wind and solar power weight will be increased. However, in order to respond to the proportion of renewable energy consumption, the renewable energy weight will not be lower than 60%.

[0063] The weights of wind power stations and photovoltaic power stations are calculated as follows:

[0064]

[0065] Furthermore, according to one embodiment of the present invention, the dynamic weight of the energy storage power station is corrected by the energy storage SOC state, including:

[0066] High SOC range (can be set to: (90%, 100%)): energy storage is discharged first and charging is prohibited. The weight increases when the power is increased and decreases when the power is reduced, but the maximum discharge power needs to be limited to prevent over-discharge;

[0067] Normal SOC range (can be set to: [20%, 90%]): Energy storage allows charging and discharging, and weights are dynamically allocated according to power regulation requirements;

[0068] Low SOC range (can be set to: [0%, 20%)): energy storage is charged first and discharging is prohibited. The weight decreases when the power is increased and increases when the power is reduced.

[0069] The weights and weight calculation formulas for increasing and decreasing the power of the energy storage power station are:

[0070]

[0071] Furthermore, according to an embodiment of the present invention, the dynamic weight of the thermal power station is corrected by the current adjustment boundary value of the thermal power unit, including:

[0072] If the current output is close to the rated power of the thermal power plant and needs to be further increased, or if the current output is close to the minimum technical output of the thermal power plant (assuming it is 50%) and needs to be further reduced, reduce its weight to avoid overshoot;

[0073] Assuming the output percentage is δ, the weights of power increase and power decrease of the thermal power station and the weight calculation formula are:

[0074]

[0075] Furthermore, according to one embodiment of the present invention, the dynamic weight of the hydropower station is corrected by the hydropower head and oscillation zone constraints, including:

[0076] Considering the impact of head changes on output, the weight is higher in high head state and lower in low head state;

[0077] Considering the impact of the hydropower station oscillation zone, the weight of crossing the oscillation zone is reduced;

[0078] The weight calculation of a hydropower station needs to be divided into the following two steps. The weights of the power increase and power decrease of the hydropower station and the weight calculation formula are:

[0079]

[0080] Where h is the water head height, and 50 and 100 are the general dividing lines between high and low water heads. The parameters are set according to the actual situation of the hydropower station.

[0081]

[0082] Among them, p cur is the current power of the hydropower station, z low is the lower limit of the oscillation zone, z up is the upper limit of the oscillation zone, z d The boundary range of the oscillation zone is set to 5% of the rated power. A hydropower station may generally have multiple oscillation zones, each of which needs to be included in the calculation.

[0083] According to the above scheme of the present invention, the present invention uses a dynamic weight algorithm instead of the traditional fixed weight to perform power distribution and power calculation of various types of power stations in the AGC system of a large new energy base. This method can represent the current operating status of each power station through weights, such as the difference in rising and falling power characteristics, power regulation costs, etc., and can give priority to using power stations with low regulation costs and good regulation effects for power regulation, thereby reducing the comprehensive power generation cost of large new energy bases.

[0084] The present invention uses different weight model algorithms for different types of power stations. Different weight calculation formulas are designed in the model based on the characteristics of different types of power stations. Factors such as new energy prediction accuracy, energy storage SOC, or the presence of hydropower stations and thermal power stations in unadjustable areas can be included in the same rating system, thereby improving the uniformity of various system parameters and facilitating unified calculation and allocation of the power allocation algorithm.

[0085] The control concept of the present invention can also be extended to engineering applications of integrated source, grid, load and storage, and is suitable for microgrids and regional power grids with multiple energy structures. It has a very wide range of application scenarios in the current power system with the continuous development of new energy and microgrids.

[0086] The present invention uses an automatic reactance calculation function, which can calculate and update the reactance of the power grid in real time. It can automatically adapt to the reactance changes caused by the reconstruction and expansion of the power station or other power stations in the surrounding power grid, improve the reactive power calculation accuracy, and further improve the voltage control accuracy of the power station.

[0087] Furthermore, to achieve the above-mentioned purpose, the present invention also provides an AGC control system for a large-scale new energy base taking into account multi-energy complementarity, comprising:

[0088] The dynamic weight model construction module, the AGC control system of the new energy base, establishes dynamic weight models for different types of power stations. Among them, the new energy base includes at least two different types of power stations, such as wind power stations, photovoltaic power stations, energy storage power stations, hydropower stations, and thermal power stations.

[0089] The dynamic weight parameter adjustment module is based on the dynamic weight model of each power station. The AGC control system of the new energy large base updates the dynamic weight parameters of each power station participating in power regulation in real time according to the current operating conditions of each power station in the large base. The dynamic weight parameter range is 0-100%, with 0 indicating no participation in power regulation and 100% indicating maximum participation in power regulation.

[0090] The power allocation target output module, the AGC control system of the new energy base obtains the power adjustment instructions of the new energy base, distributes power according to the updated dynamic weights of each power station, and distributes it to the AGC substation system of each power station within the large base through communication protocols to achieve the actual output of the power allocation target.

[0091] Furthermore, according to one embodiment of the present invention, the dynamic weight allocation of each power station is intended to adaptively adjust the output ratio of each power source in the AGC instruction based on the real-time status and dynamic characteristics of each power source in the multi-energy complementary system, thereby solving the problem of insufficient flexibility in traditional fixed weight allocation. In this embodiment, in the dynamic weight model of each different type of power station, the dynamic weight is calculated through the following steps:

[0092] The dynamic weights of wind power stations and photovoltaic power stations are corrected by the accuracy of wind and solar short-term power forecasts;

[0093] The dynamic weight of the energy storage power station is modified by the energy storage SOC state;

[0094] The dynamic weight of the thermal power station is modified by the current regulation boundary value of the thermal power unit;

[0095] The dynamic weights of the hydropower stations are modified by the hydropower head and oscillation zone constraints.

[0096] Furthermore, according to an embodiment of the present invention, the dynamic weights of wind power stations and photovoltaic power stations are corrected by the wind and solar short-term power prediction accuracy, including:

[0097] Calculate the prediction error quantification: Based on the historical data statistics of wind power stations and photovoltaic power stations in the near future, the prediction accuracy of wind power stations and photovoltaic power stations is evaluated by the power dispatching system. The prediction accuracy of wind power stations and photovoltaic power stations is δ 预测 85% to 90%;

[0098] Weight adjustment: If the wind and solar power forecast error is large, the wind and solar power weight will be reduced to avoid secondary frequency deviation caused by output fluctuations. If the forecast error is small, renewable energy will be used to respond to AGC instructions and the wind and solar power weight will be increased. However, in order to respond to the proportion of renewable energy consumption, the renewable energy weight will not be lower than 60%.

[0099] The weights of wind power stations and photovoltaic power stations are calculated as follows:

[0100]

[0101] Furthermore, according to one embodiment of the present invention, the dynamic weight of the energy storage power station is corrected by the energy storage SOC state, including:

[0102] High SOC range (can be set to: (90%, 100%)): energy storage is discharged first and charging is prohibited. The weight increases when the power is increased and decreases when the power is reduced, but the maximum discharge power needs to be limited to prevent over-discharge;

[0103] Normal SOC range (can be set to: [20%, 90%]): Energy storage allows charging and discharging, and weights are dynamically allocated according to power regulation requirements;

[0104] Low SOC range (can be set to: [0%, 20%)): energy storage is charged first and discharging is prohibited. The weight decreases when the power is increased and increases when the power is reduced.

[0105] The weights and weight calculation formulas for increasing and decreasing the power of the energy storage power station are:

[0106]

[0107] Furthermore, according to an embodiment of the present invention, the dynamic weight of the thermal power station is corrected by the current adjustment boundary value of the thermal power unit, including:

[0108] If the current output is close to the rated power of the thermal power plant and needs to be further increased, or if the current output is close to the minimum technical output of the thermal power plant (assuming it is 50%) and needs to be further reduced, reduce its weight to avoid overshoot;

[0109] Assuming the output percentage is δ, the weights of power increase and power decrease of the thermal power station and the weight calculation formula are:

[0110]

[0111] Furthermore, according to one embodiment of the present invention, the dynamic weight of the hydropower station is corrected by the hydropower head and oscillation zone constraints, including:

[0112] Considering the impact of head changes on output, the weight is higher in high head state and lower in low head state;

[0113] Considering the impact of the hydropower station oscillation zone, the weight of crossing the oscillation zone is reduced;

[0114] The weight calculation of a hydropower station needs to be divided into the following two steps. The weights of the power increase and power decrease of the hydropower station and the weight calculation formula are:

[0115]

[0116] Where h is the water head height, and 50 and 100 are the general dividing lines between high and low water heads. The parameters are set according to the actual situation of the hydropower station.

[0117]

[0118] Among them, p cur is the current power of the hydropower station, z low is the lower limit of the oscillation zone, z up is the upper limit of the oscillation zone, z d The boundary range of the oscillation zone is set to 5% of the rated power. A hydropower station may generally have multiple oscillation zones, each of which needs to be included in the calculation.

[0119] According to the above scheme of the present invention, the present invention uses a dynamic weight algorithm instead of the traditional fixed weight to perform power distribution and power calculation of various types of power stations in the AGC system of a large new energy base. This method can represent the current operating status of each power station through weights, such as the difference in rising and falling power characteristics, power regulation costs, etc., and can give priority to using power stations with low regulation costs and good regulation effects for power regulation, thereby reducing the comprehensive power generation cost of large new energy bases.

[0120] The present invention uses different weight model algorithms for different types of power stations. Different weight calculation formulas are designed in the model based on the characteristics of different types of power stations. Factors such as new energy prediction accuracy, energy storage SOC, or the presence of hydropower stations and thermal power stations in unadjustable areas can be included in the same rating system, thereby improving the uniformity of various system parameters and facilitating unified calculation and allocation of the power allocation algorithm.

[0121] The control concept of the present invention can also be extended to engineering applications of integrated source, grid, load and storage, and is suitable for microgrids and regional power grids with multiple energy structures. It has a very wide range of application scenarios in the current power system with the continuous development of new energy and microgrids.

[0122] The present invention uses an automatic reactance calculation function, which can calculate and update the reactance of the power grid in real time. It can automatically adapt to the reactance changes caused by the reconstruction and expansion of the power station or other power stations in the surrounding power grid, improve the reactive power calculation accuracy, and further improve the voltage control accuracy of the power station.

[0123] Furthermore, to achieve the above-mentioned purpose, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and runnable on the processor. When the computer program is executed by the processor, the AGC control method for a large new energy base considering multi-energy complementarity as described above is implemented.

[0124] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the AGC control method for a large new energy base considering multi-energy complementarity as described above is implemented.

[0125] Those skilled in the art will appreciate that the modules and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0126] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method implementation methods and will not be repeated here.

[0127] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules is merely a logical function division. In actual implementation, there may be other division methods, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0128] The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the objectives of the embodiments of the present invention.

[0129] In addition, each functional module in the embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0130] If the functions are implemented as software modules and sold or used as standalone products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the energy-saving signal transmission / reception method according to various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, ROM, RAM, a magnetic disk, or an optical disk.

[0131] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, but also encompasses other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the inventive concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this application.

[0132] It should be understood that the size of the serial numbers of each step in the content of the invention and the implementation methods of the present invention does not absolutely mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the implementation methods of the present invention.

Claims

1. An AGC control method for a large-scale new energy base considering multi-energy complementarity, characterized in that: include: The AGC control system of a large new energy base establishes a dynamic weight model for each type of power station; Based on the dynamic weight model of each power station, the AGC control system of the new energy large base updates the dynamic weight parameters of each power station participating in power regulation in real time according to the current operating conditions of each power station in the large base; The AGC control system of the large new energy base obtains the power adjustment instructions of the large new energy base, distributes power according to the updated dynamic weights of each power station, and distributes it to the AGC substation system of each power station within the large base through communication protocols to achieve the actual output of the power distribution target.

2. The AGC control method for a large-scale new energy base considering multi-energy complementarity according to claim 1 is characterized in that: In the dynamic weight model of each power station of different types, the dynamic weight is calculated through the following steps: The dynamic weights of wind power stations and photovoltaic power stations are corrected by the accuracy of wind and solar short-term power forecasts; The dynamic weight of the energy storage power station is modified by the energy storage SOC state; The dynamic weight of the thermal power station is modified by the current regulation boundary value of the thermal power unit; The dynamic weights of the hydropower stations are modified by the hydropower head and oscillation zone constraints.

3. The AGC control method for a large-scale new energy base considering multi-energy complementarity according to claim 2 is characterized in that: The dynamic weights of the wind power station and the photovoltaic power station are corrected by the accuracy of the wind and solar short-term power forecast, including: Calculate the prediction error quantification: Based on the historical data statistics of wind power stations and photovoltaic power stations in the near future, the prediction accuracy of wind power stations and photovoltaic power stations is evaluated by the power dispatching system. The prediction accuracy of wind power stations and photovoltaic power stations is δ 预测 85% to 90%; Weight adjustment: If the wind and solar power prediction error is large, reduce the wind and solar power weight to avoid secondary frequency deviation caused by output fluctuations; if the prediction error is small, use new energy to respond to AGC instructions and increase the wind and solar power weight; The weights of wind power stations and photovoltaic power stations are calculated as follows:

4. The AGC control method for a large-scale new energy base considering multi-energy complementarity according to claim 2 is characterized in that: The dynamic weight of the energy storage power station is modified by the energy storage SOC state, including: High SOC range: Energy storage is discharged first and charging is prohibited. The weight increases when the power is increased and decreases when the power is reduced. However, the maximum discharge power needs to be limited to prevent over-discharge. Normal SOC range: Energy storage allows charging and discharging, and weights are dynamically allocated based on power regulation requirements; Low SOC range: Energy storage is charged first and discharging is prohibited. The weight decreases when the power increases and increases when the power decreases. The weights and weight calculation formulas for increasing and decreasing the power of the energy storage power station are:

5. The AGC control method for a large-scale new energy base considering multi-energy complementarity according to claim 2 is characterized in that: The dynamic weight of the thermal power station is modified by the current adjustment boundary value of the thermal power unit, including: If the current output is close to the rated power of the thermal power plant and needs to be further increased, or if the current output is close to the minimum technical output of the thermal power plant and needs to be further reduced, reduce its weight to avoid overshoot; Assuming the output percentage is δ, the weights of power increase and power decrease of the thermal power station and the weight calculation formula are:

6. The AGC control method for a large-scale new energy base considering multi-energy complementarity according to claim 2 is characterized in that: The dynamic weight of the hydropower station is modified by the hydropower head and oscillation zone constraints, including: Considering the effect of head change on output, the weight increases in high head state and decreases in low head state; Considering the impact of the hydropower station oscillation zone, the weight of crossing the oscillation zone is reduced; The weight calculation of a hydropower station needs to be divided into the following two steps. The weights of the power increase and power decrease of the hydropower station and the weight calculation formula are: Where h is the water head height, and 50 and 100 are the general dividing lines between high and low water heads. The parameters are set according to the actual situation of the hydropower station. Among them, p cur is the current power of the hydropower station, z low is the lower limit of the oscillation zone, z up is the upper limit of the oscillation zone, z d The boundary range of the oscillation zone is set to 5% of the rated power.

7. Considering the AGC control system of a large new energy base with multi-energy complementarity, it is characterized by: include: Dynamic weight model construction module: The AGC control system of a large new energy base establishes dynamic weight models for different types of power stations; Dynamic weight parameter adjustment module: Based on the dynamic weight model of each power station, the AGC control system of the new energy base updates the dynamic weight parameters of each power station participating in power regulation in real time according to the current operating conditions of each power station in the base; The power allocation target output module, the AGC control system of the new energy base obtains the power adjustment instructions of the new energy base, distributes power according to the updated dynamic weights of each power station, and distributes it to the AGC substation system of each power station within the large base through communication protocols to achieve the actual output of the power allocation target.

8. An electronic device, characterized in that The invention comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the AGC control method for a large new energy base taking into account multi-energy complementarity is implemented as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the AGC control method for a large new energy base considering multi-energy complementarity according to any one of claims 1 to 6 is implemented.

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