Intelligent control method and system for wind-solar hybrid power generation aeration system

Abstract

This invention relates to the field of power electronic control technology, and more specifically, to a wind-solar hybrid power generation aeration system and its intelligent control method and system. The solution includes setting the structure of the wind-solar hybrid power generation aeration system; setting the operating modes of wind power and photovoltaic power to generate forecast information for wind and photovoltaic power for the next day; obtaining the minimum aeration energy required for the next day; obtaining the power demand curve for the next day; obtaining the power demand curve and setting the aeration period according to the minimum aeration energy; switching the energy storage control strategy according to the aeration period and completing the aeration control. This solution, by setting up a wind-solar hybrid power generation aeration system and combining it with intraday analysis of the power grid and pollutants, generates aeration forecasts, achieving the goal of increasing dissolved oxygen levels in the water body intraday while providing energy to the power grid during off-peak hours.

Description

Technical Field

[0001] The present invention relates to the field of power electronic control technology, and more specifically, to an intelligent control method and system for a wind-solar hybrid power generation aeration system. Background Art

[0002] Aeration and reoxygenation technology is based on the hypoxic characteristics of polluted rivers. Air (or oxygen) is artificially injected into the water to accelerate the reoxygenation process of the water, thereby increasing the level of dissolved oxygen in the water, restoring and enhancing the activity of aerobic microorganisms in the water, purifying pollutants in the water, and then restoring the water ecosystem. Usually, the amount of water to be repaired is very large, and the use of traditional processes for aeration and flow generation often requires a lot of electricity consumption.

[0003] Therefore, ordinary aeration pumps consume a lot of energy. The large consumption and import of energy not only pose a huge threat to energy security, but also bring a series of environmental problems, such as air pollution, soil pollution, acid rain, etc. In order to solve the problems of high energy consumption and serious environmental pollution of traditional aeration and reoxygenation, people use wind-solar complementary power generation technology to increase the dissolved oxygen content in water. Wind-solar complementary power generation technology uses solar panels to convert solar energy into electrical energy, and uses wind turbines to convert wind energy into electrical energy. It combines wind energy and solar energy to generate electricity at the same time to form a power supply system. An emerging technology of energy conservation and environmental protection, but how to supply electricity to achieve optimal control of aeration is still lacking a core solution. Summary of the invention

[0004] In view of the above problems, the present invention proposes an intelligent control method and system for a wind-solar complementary power generation aeration system. By setting up a wind-solar complementary power generation aeration system and combining the daily analysis of the power grid and pollutants, an aeration forecast is formed to achieve the goal of improving the dissolved oxygen level in the water body within the day while providing energy for the power trough of the power grid.

[0005] According to a first aspect of an embodiment of the present invention, an intelligent control method for a wind-solar hybrid power generation aeration system is provided.

[0006] In one or more embodiments, preferably, the intelligent control method of the wind-solar hybrid power generation aeration system includes:

[0007] Set up the structure of the wind-solar hybrid power generation aeration system;

[0008] Set the operation mode of wind power and photovoltaic power to form the forecast information of wind power and photovoltaic power for the next day;

[0009] Obtain the minimum aeration energy required for the next day;

[0010] Get the power demand curve for the next day;

[0011] Obtain the power demand curve and set the aeration period according to the minimum aeration energy;

[0012] The energy storage control strategy is switched according to the aeration period, and aeration control is completed.

[0013] In one or more embodiments, preferably, the structure of the wind-solar hybrid power generation aeration system specifically includes:

[0014] Public access points for wind power and photovoltaic power are set up, and energy storage devices with grid-type control strategies are installed at the public access points;

[0015] After the public access point, power is supplied to the aeration system through a transformer;

[0016] A flexible interconnection device with auxiliary connections is provided for connection with the power system.

[0017] In one or more embodiments, preferably, the setting of the operation modes of wind power and photovoltaic power to form forecast information of wind power and photovoltaic power for the next day specifically includes:

[0018] Set the operation mode of wind power and photovoltaic to MPPT control mode;

[0019] Energy storage is set up to stabilize the voltage at public access points;

[0020] Conduct intraday forecasts for the next day to form hourly average power forecasts for wind power and photovoltaic power for the next day, which serves as forecast information for wind power and photovoltaic power for the next day.

[0021] In one or more embodiments, preferably, obtaining the minimum aeration energy required in the next day specifically includes:

[0022] Get the current dissolved oxygen percentage and estimate the dissolved oxygen percentage change curve for the next day;

[0023] According to the dissolved oxygen percentage change curve, determine the final percentage of dissolved oxygen if aeration purification is not performed;

[0024] Obtaining a preset minimum dissolved oxygen percentage margin, determining the minimum energy required for the final dissolved oxygen percentage to reach the minimum dissolved oxygen percentage margin, and calculating the minimum aeration energy using the first calculation formula;

[0025] The first calculation formula is:

[0026] Z=P×N

[0027] Among them, N is the minimum energy required, P is the energy conversion efficiency, and Z is the minimum aeration energy.

[0028] In one or more embodiments, preferably, obtaining the power demand curve for the next day specifically includes:

[0029] Perform curve fitting based on historical data of power changes to form a power change curve;

[0030] The area within the next day in the power change curve is extracted as the power demand curve.

[0031] In one or more embodiments, preferably, the obtaining of the power demand curve and setting of the aeration period according to the minimum aeration energy specifically include:

[0032] Calculating the average new energy power using a second calculation formula according to the forecast information of wind power and photovoltaic power for the next day;

[0033] Determine the average duration required for aeration using a third calculation formula according to the minimum aeration energy and the average new energy power;

[0034] The fourth calculation formula is used to determine the conservative aeration time;

[0035] Extracting the area of ​​the conservative aeration duration of the lowest power in the power demand curve as the aeration period;

[0036] The second calculation formula is:

[0037] avg=W÷(60×60×24)

[0038] Among them, avg is the average renewable energy power, W is the total energy generated in the forecast information of wind power and photovoltaic power generation for the next day;

[0039] The third calculation formula is:

[0040] B=Z÷avg

[0041] Among them, Z is the minimum aeration energy, B is the average duration required for aeration, and avg is the average new energy power;

[0042] The fourth calculation formula is:

[0043] A=1.2×B

[0044] Among them, A is the conservative aeration time, and B is the average time required for aeration.

[0045] In one or more embodiments, preferably, the energy storage control strategy is switched according to the aeration period and the aeration control is completed, specifically including:

[0046] When it is the aeration period, the energy storage adopts the grid-type control to carry out aeration;

[0047] When it is not the aeration period, the energy storage adopts grid-following control and is integrated into the power system for synchronous operation.

[0048] According to a second aspect of an embodiment of the present invention, an intelligent control system for a wind-solar hybrid power generation aeration system is provided.

[0049] In one or more embodiments, preferably, the intelligent control system of the wind-solar hybrid power generation aeration system includes:

[0050] A structure setting module is used to set the structure of the wind-solar hybrid power generation aeration system;

[0051] The power generation prediction module is used to set the operation mode of wind power and photovoltaic power and form the prediction information of wind power and photovoltaic power for the next day;

[0052] Aeration prediction module, used to obtain the minimum aeration energy required in the next day;

[0053] The power grid demand analysis module is used to obtain the power demand curve for the next day;

[0054] Aeration period analysis module, used to obtain the power demand curve and set the aeration period according to the minimum aeration energy;

[0055] The nearest power grid connection control module is used to switch the energy storage control strategy according to the aeration period and complete the aeration control.

[0056] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0057] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0058] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0059] In the solution of the present invention, power generation prediction and power grid analysis are combined in real time, and power is supplied to the power grid while ensuring the dissolved oxygen level.

[0060] In the scheme of the present invention, when the power grid is abundant, additional reoxygenation will be carried out, which can not only reduce carbon emissions but also achieve optimal distribution of electricity.

[0061] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0062] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0064] Figure 1 The present invention is a flowchart of an intelligent control method for a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0065] Figure 2 It is a flow chart of setting the structure of a wind-solar hybrid power generation aeration system in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0066] Figure 3 The invention discloses a flow chart of setting the operation modes of wind power and photovoltaic power generation in an intelligent control method of a wind-solar complementary power generation aeration system according to an embodiment of the present invention, and forming forecast information of wind power and photovoltaic power generation for the next day.

[0067] Figure 4 This is a flow chart of obtaining the minimum aeration energy required in the next day in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0068] Figure 5 It is a flow chart of obtaining a power demand curve for the next day in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0069] Figure 6 The present invention is a flowchart of obtaining a power demand curve in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention and setting an aeration period according to minimum aeration energy.

[0070] Figure 7 The present invention is a flowchart of switching the energy storage control strategy according to the aeration period and completing the aeration control in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0071] Figure 8It is a structural diagram of an intelligent control system of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0072] Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0073] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0074] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0075] Aeration and reoxygenation technology is based on the hypoxic characteristics of polluted rivers. Air (or oxygen) is artificially injected into the water to accelerate the reoxygenation process of the water, thereby increasing the level of dissolved oxygen in the water, restoring and enhancing the activity of aerobic microorganisms in the water, purifying pollutants in the water, and then restoring the water ecosystem. Usually, the amount of water to be repaired is very large, and the use of traditional processes for aeration and flow generation often requires a lot of electricity consumption.

[0076] Therefore, ordinary aeration pumps consume a lot of energy. The large consumption and import of energy not only pose a huge threat to energy security, but also bring a series of environmental problems, such as air pollution, soil pollution, acid rain, etc. In order to solve the problems of high energy consumption and serious environmental pollution of traditional aeration and reoxygenation, people use wind-solar complementary power generation technology to increase the dissolved oxygen content in water. Wind-solar complementary power generation technology uses solar panels to convert solar energy into electrical energy, and uses wind turbines to convert wind energy into electrical energy. It combines wind energy and solar energy to generate electricity at the same time to form a power supply system. An emerging technology of energy conservation and environmental protection, but how to supply electricity to achieve optimal control of aeration is still lacking a core solution.

[0077] In the embodiment of the present invention, an intelligent control method and system for a wind-solar hybrid power generation aeration system are provided. The scheme forms an aeration forecast by setting up a wind-solar hybrid power generation aeration system and combining the daily analysis of the power grid and pollutants, so as to achieve the goal of improving the dissolved oxygen level in the water body and providing energy for the power trough of the power grid during the day.

[0078] According to a first aspect of an embodiment of the present invention, an intelligent control method for a wind-solar hybrid power generation aeration system is provided.

[0079] Figure 1 The present invention is a flowchart of an intelligent control method for a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0080] In one or more embodiments, preferably, the intelligent control method of the wind-solar hybrid power generation aeration system includes:

[0081] S101. Setting the structure of the wind-solar hybrid power generation aeration system;

[0082] S102, setting the operation mode of wind power and photovoltaic power to form forecast information of wind power and photovoltaic power for the next day;

[0083] S103, obtaining the minimum aeration energy required in the next day;

[0084] S104, obtaining a power demand curve for the next day;

[0085] S105, obtaining a power demand curve, and setting an aeration period according to the minimum aeration energy;

[0086] S106. Switch the energy storage control strategy according to the aeration period and complete the aeration control.

[0087] In the embodiment of the present invention, the commonly used aeration and oxygenation equipment is mainly driven by the energy consumption of the municipal power grid, and the municipal power grid mostly uses thermal power generation, and each kilowatt-hour of electricity generated will produce 1.008kg of carbon dioxide and 5.425g of sulfur dioxide. For a 100kw system, working 4 hours a day, it will produce 147.168T of carbon dioxide and 0.792T of sulfur dioxide per year. In addition, since most water resource protection areas are far away from cities, it is very expensive to pull high-power cables from cities to water resource protection areas.

[0088] Figure 2 It is a flow chart of setting the structure of a wind-solar hybrid power generation aeration system in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0089] like Figure 2 As shown, in one or more embodiments, preferably, the structure of the wind-solar hybrid power generation aeration system specifically includes:

[0090] S201, setting up a public access point for wind power and photovoltaic power, and setting up an energy storage device configured with a grid-type control strategy at the public access point;

[0091] S202, after the public access point, supplies power to the aeration system through a transformer;

[0092] S203. A flexible interconnection device with auxiliary connections is provided for connecting to a power system.

[0093] In an embodiment of the present invention, in order to realize aeration power generation with wind-solar complementarity in remote areas, a public access point for wind power and photovoltaic power is set up, and an energy storage device configured with a grid-type control strategy is set up at the public access point; the capacity of the energy storage device is the electric energy generated by the wind turbine and photovoltaic power running at full power for 1 hour, which is used to smooth the system fluctuations caused by the random fluctuations of wind power and photovoltaic power; after the public access point, power is supplied to the aeration system through a transformer; and a flexible interconnection device with auxiliary connection is set up for connecting to the power system.

[0094] Figure 3 The invention discloses a flow chart of setting the operation modes of wind power and photovoltaic power generation in an intelligent control method of a wind-solar complementary power generation aeration system according to an embodiment of the present invention, and forming forecast information of wind power and photovoltaic power generation for the next day.

[0095] like Figure 3 As shown, in one or more embodiments, preferably, the setting of the operation modes of wind power and photovoltaic power to form the forecast information of wind power and photovoltaic power for the next day specifically includes:

[0096] S301, setting the operation modes of wind power and photovoltaic to MPPT control mode;

[0097] S302, setting energy storage to stabilize the voltage of the public access point;

[0098] S303: Perform intraday forecast for the next day to form hourly average power forecasts for wind power and photovoltaic power for the next day as forecast information for wind power and photovoltaic power for the next day.

[0099] In the embodiment of the present invention, both wind power and photovoltaic power are operated in the MPPT control mode, outputting the maximum power, and performing continuous intraday forecasts, combined with the meteorological system forecast, to form the hourly average power forecast of wind power and photovoltaic power for the next day.

[0100] Figure 4 This is a flow chart of obtaining the minimum aeration energy required in the next day in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0101] like Figure 4As shown, in one or more embodiments, preferably, the obtaining of the minimum aeration energy required in the next day specifically includes:

[0102] S401, obtaining the dissolved oxygen percentage at the current moment, and estimating the dissolved oxygen percentage change curve for the next day;

[0103] S402, determining the final percentage of dissolved oxygen if aeration purification is not performed according to the dissolved oxygen percentage change curve;

[0104] S403, obtaining a preset minimum dissolved oxygen percentage margin, determining the minimum energy required for the final dissolved oxygen percentage to reach the minimum dissolved oxygen percentage margin, and calculating the minimum aeration energy using the first calculation formula;

[0105] The first calculation formula is:

[0106] Z=P×N

[0107] Among them, N is the minimum energy required, P is the energy conversion efficiency, and Z is the minimum aeration energy.

[0108] In the embodiment of the present invention, in order to purify pollutants, it is necessary to clarify what degree of purification will be achieved in the future to realize the pre-set purification requirements, obtain the dissolved oxygen ratio before and after purification, and infer the minimum energy required based on the dissolved oxygen ratio.

[0109] Figure 5 It is a flow chart of obtaining a power demand curve for the next day in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0110] like Figure 5 As shown, in one or more embodiments, preferably, obtaining the power demand curve for the next day specifically includes:

[0111] S501, performing curve fitting according to historical data of power changes to form a power change curve;

[0112] S502: extracting the area within the next day from the power change curve as a power demand curve.

[0113] In an embodiment of the present invention, forecast information of the power grid for the next day is obtained to form a power grid power demand curve, and a power demand curve is extracted based on the power demand curve, wherein the power demand curve is a curve in which power fluctuates over time.

[0114] Figure 6 The present invention is a flowchart of obtaining a power demand curve in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention and setting an aeration period according to minimum aeration energy.

[0115] like Figure 6 As shown, in one or more embodiments, preferably, the obtaining of the power demand curve and setting of the aeration period according to the minimum aeration energy specifically include:

[0116] S601, calculating the average new energy power using a second calculation formula according to the forecast information of wind power and photovoltaic power for the next day;

[0117] S602, determining the average duration required for aeration using a third calculation formula according to the minimum aeration energy and the average new energy power;

[0118] S603, using the fourth calculation formula to determine the conservative aeration time;

[0119] S604, extracting the area of ​​the conservative aeration duration with the lowest power in the power demand curve as the aeration period;

[0120] The second calculation formula is:

[0121] avg=W÷(60×60×24)

[0122] Among them, avg is the average renewable energy power, W is the total energy generated in the forecast information of wind power and photovoltaic power generation for the next day;

[0123] The third calculation formula is:

[0124] B=Z÷avg

[0125] Among them, Z is the minimum aeration energy, B is the average duration required for aeration, and avg is the average new energy power;

[0126] The fourth calculation formula is:

[0127] A=1.2×B

[0128] Among them, A is the conservative aeration time, and B is the average time required for aeration.

[0129] In an embodiment of the present invention, after determining the power change, it is possible to determine in which period aeration is to be performed, and to analyze and update the aeration period on a daily basis, which can effectively reduce the wind and light abandonment caused by the combined power generation of photovoltaic and wind power, while achieving aeration demand while minimizing the peak and valley impact on the power grid.

[0130] Figure 7 The present invention is a flowchart of switching the energy storage control strategy according to the aeration period and completing the aeration control in an intelligent control method of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0131] like Figure 7As shown, in one or more embodiments, preferably, the energy storage control strategy is switched according to the aeration period and the aeration control is completed, specifically including:

[0132] S701, when it is the aeration period, the energy storage adopts the grid type control to perform aeration;

[0133] S702. When it is not the aeration period, the energy storage adopts grid-following control and is integrated into the power system for synchronous operation.

[0134] In the embodiment of the present invention, after the aeration period is determined, the original wind power and photovoltaic power can be directly connected to the grid. Before the connection to the grid, the control strategy needs to be switched to a grid-following control strategy.

[0135] According to a second aspect of an embodiment of the present invention, an intelligent control system for a wind-solar hybrid power generation aeration system is provided.

[0136] Figure 8 It is a structural diagram of an intelligent control system of a wind-solar hybrid power generation aeration system according to an embodiment of the present invention.

[0137] In one or more embodiments, preferably, the intelligent control system of the wind-solar hybrid power generation aeration system includes:

[0138] The structure setting module 801 is used to set the structure of the wind-solar hybrid power generation aeration system;

[0139] The power generation prediction module 802 is used to set the operation mode of wind power and photovoltaic power generation to form the prediction information of wind power and photovoltaic power generation for the next day;

[0140] Aeration prediction module 803, used to obtain the minimum aeration energy required in the next day;

[0141] The power grid demand analysis module 804 is used to obtain the power demand curve for the next day;

[0142] An aeration period analysis module 805 is used to obtain a power demand curve and set an aeration period according to the minimum aeration energy;

[0143] The nearest power grid connection control module 806 is used to switch the energy storage control strategy according to the aeration period and complete the aeration control.

[0144] In the embodiment of the present invention, a system suitable for different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0145] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0146] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided. Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Fig. 9 The electronic device shown is an intelligent control device for a general wind-solar hybrid power generation aeration system. Fig. 9 As shown, the electronic device 900 includes a central processing unit (CPU) 901, which can perform various appropriate actions and processes according to computer program instructions stored in a read-only memory (ROM) 902 or computer program instructions loaded from a storage unit 908 into a random access memory (RAM) 903. In the RAM 903, various programs and data required for the operation of the electronic device 900 can also be stored. The CPU 901, the ROM 902, and the RAM 903 are connected to each other via a bus 904. An input / output (I / O) interface 905 is also connected to the bus 904.

[0147] Multiple components in the electronic device 900 are connected to the I / O interface 905, including: an input unit 906, an output unit 907, a storage unit 908, and the processing unit 901 performs the various methods and processes described above, such as the method described in the first aspect of the embodiment of the present invention. For example, in some embodiments, the method described in the first aspect of the embodiment of the present invention may be implemented as a computer software program, which is stored in a machine-readable medium, such as the storage unit 908. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 900 via the ROM 902 and / or the communication unit 909. When the computer program is loaded into the RAM 903 and executed by the CPU 901, one or more operations of the method described in the first aspect of the embodiment of the present invention may be performed. Alternatively, in other embodiments, the CPU 901 may be configured as one or more actions of the method described in the first aspect of the embodiment of the present invention by any other appropriate means (e.g., by means of firmware).

[0148] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0149] In the solution of the present invention, power generation prediction and power grid analysis are combined in real time, and power is supplied to the power grid while ensuring the dissolved oxygen level.

[0150] In the scheme of the present invention, when the power grid is abundant, additional reoxygenation will be carried out, which can not only reduce carbon emissions but also achieve optimal distribution of electricity.

[0151] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0152] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0153] These computer program instructions 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 an article of manufacture comprising 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.

[0154] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0155] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent control method for a wind-solar hybrid power generation aeration system, characterized in that: The method includes: Set up the structure of the wind-solar hybrid power generation aeration system; Set the operation mode of wind power and photovoltaic power to form the forecast information of wind power and photovoltaic power for the next day; Obtain the minimum aeration energy required for the next day; Get the power demand curve for the next day; Obtain the power demand curve and set the aeration period according to the minimum aeration energy; Switch the energy storage control strategy according to the aeration period and complete the aeration control; Wherein, obtaining the minimum aeration energy required in the next day specifically includes: Get the current dissolved oxygen percentage and estimate the dissolved oxygen percentage change curve for the next day; According to the dissolved oxygen percentage change curve, determine the final percentage of dissolved oxygen if aeration purification is not performed; Obtaining a preset minimum dissolved oxygen percentage margin, determining the minimum energy required for the final dissolved oxygen percentage to reach the minimum dissolved oxygen percentage margin, and calculating the minimum aeration energy using the first calculation formula; The first calculation formula is: Z=P×N Among them, N is the minimum energy required, P is the energy conversion efficiency, and Z is the minimum aeration energy; The step of obtaining the power demand curve and setting the aeration period according to the minimum aeration energy specifically includes: Calculating the average new energy power using a second calculation formula according to the forecast information of wind power and photovoltaic power for the next day; Determine the average duration required for aeration using a third calculation formula according to the minimum aeration energy and the average new energy power; The fourth calculation formula is used to determine the conservative aeration time; Extracting the area of ​​the conservative aeration duration of the lowest power in the power demand curve as the aeration period; The second calculation formula is: avg=W÷(60×60×24) Among them, avg is the average renewable energy power, W is the total energy generated in the forecast information of wind power and photovoltaic power generation for the next day; The third calculation formula is: B=Z÷avg Among them, Z is the minimum aeration energy, B is the average duration required for aeration, and avg is the average new energy power; The fourth calculation formula is: A=1.2×B Among them, A is the conservative aeration time, and B is the average time required for aeration; The structure of the wind-solar hybrid power generation aeration system specifically includes: Public access points for wind power and photovoltaic power are set up, and energy storage devices with grid-type control strategies are installed at the public access points; After the public access point, power is supplied to the aeration system through a transformer; A flexible interconnection device with auxiliary connections is provided for connection with the power system; The step of setting the operation modes of wind power and photovoltaic power to form the forecast information of wind power and photovoltaic power for the next day specifically includes: Set the operation mode of wind power and photovoltaic to MPPT control mode; Energy storage is set up to stabilize the voltage at public access points; Conduct intraday forecasts for the next day to form hourly average power forecasts for wind power and photovoltaic power for the next day, which will serve as forecast information for wind power and photovoltaic power for the next day; The obtaining of the power demand curve for the next day specifically includes: Perform curve fitting based on historical data of power changes to form a power change curve; Extract the area within the next day from the power change curve as the power demand curve; The energy storage control strategy is switched according to the aeration period, and the aeration control is completed, specifically including: When it is the aeration period, the energy storage adopts the grid-type control to carry out aeration; When it is not the aeration period, the energy storage adopts grid-following control and is integrated into the power system for synchronous operation.

2. An intelligent control system for a wind-solar hybrid power generation aeration system, characterized in that: The system is used to implement the method according to claim 1, and the system comprises: A structure setting module is used to set the structure of the wind-solar hybrid power generation aeration system; The power generation prediction module is used to set the operation mode of wind power and photovoltaic power and form the prediction information of wind power and photovoltaic power for the next day; Aeration prediction module, used to obtain the minimum aeration energy required in the next day; The power grid demand analysis module is used to obtain the power demand curve for the next day; Aeration period analysis module, used to obtain the power demand curve and set the aeration period according to the minimum aeration energy; The nearest power grid connection control module is used to switch the energy storage control strategy according to the aeration period and complete the aeration control.

3. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method of claim 1 when executed by a processor.

4. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to claim 1.

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