A distributed photovoltaic group regulation and control method, system and program product

Abstract

The present invention belongs to the technical field of photovoltaic regulation and control, and specifically discloses a distributed photovoltaic group regulation and control method, system and program product. By obtaining the grid load demand, the target output power of the photovoltaic cluster is determined, and the real-time output parameters and real-time environmental parameters of each distributed photovoltaic power station in the distributed photovoltaic cluster are collected in real time for power evaluation and analysis to determine the regulation power of each distributed photovoltaic power station. Then, the corresponding power regulation control parameters are generated and sent to each distributed photovoltaic power station synchronously to achieve efficient distributed photovoltaic group regulation and control and meet the grid load demand. The present invention can perform real-time automatic power generation regulation and control of the distributed photovoltaic cluster according to the grid load demand, timely and effectively balance the grid load, avoid the situation of grid overload or power supply shortage, and improve the economy and stability of the photovoltaic cluster power supply system.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic regulation, and particularly relates to a distributed photovoltaic group regulation and control method, system and program product. Background Art

[0002] With the vigorous development of smart grid and green energy generation technologies, the application of distributed photovoltaic power generation in the power system is increasing day by day. A distributed photovoltaic power generation system generally refers to a distributed photovoltaic power generation cluster formed by connecting distributed photovoltaic power generation resources, such as photovoltaic power stations with a small installed capacity and arranged near users, to the grid. The distributed photovoltaic power station cluster has a wide range of applications. For example, a photovoltaic power generation project built on the roof of a city building. This cluster method helps to increase the power generation of photovoltaic power stations of the same scale, and at the same time solves the problem of power loss in step-up and long-distance transportation, realizing near-site power generation, near-site grid connection, near-site conversion, and near-site use. However, currently in the operation process of the distributed photovoltaic power station cluster, how to effectively regulate and control the distributed photovoltaic cluster to dynamically balance the grid load and improve the economy and stability of the photovoltaic cluster power supply has become an urgent problem to be solved. Summary of the Invention

[0003] The purpose of the present invention is to provide a distributed photovoltaic group regulation and control method, system and program product to solve the above problems existing in the prior art.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions:

[0005] In a first aspect, a distributed photovoltaic group regulation and control method is provided, including:

[0006] Obtain real-time grid load demand information, and determine the target output power of the photovoltaic cluster according to the real-time grid load demand information;

[0007] Collect the real-time output parameters and real-time environmental parameters of each distributed photovoltaic power station in the distributed photovoltaic cluster. The real-time output parameters include real-time sampled output current and real-time sampled output voltage, and the environmental parameters include real-time site temperature and real-time site light intensity;

[0008] Calculate the real-time output power of each distributed photovoltaic power station according to the real-time sampled output current and real-time sampled output voltage, and estimate the real-time peak power of each distributed photovoltaic power station according to the real-time site temperature and real-time site light intensity;

[0009] Determine the real-time total power of the photovoltaic cluster according to the real-time output power of each distributed photovoltaic power station, and calculate the available increased power of each distributed photovoltaic power station according to the real-time output power and real-time peak power;

[0010] Calculate the power difference using the real-time total power of the photovoltaic cluster and the target output power of the photovoltaic cluster. When the power difference is negative, determine the first adjustment power of each distributed photovoltaic power station according to the power difference, the real-time output power, and the available power increase of each distributed photovoltaic power station.

[0011] Generate the first power adjustment control parameter corresponding to each distributed photovoltaic power station according to the first adjustment power of each distributed photovoltaic power station.

[0012] Synchronously send each first power adjustment control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts the power generation power according to the received first power adjustment control parameter.

[0013] In a possible design, when the power difference is positive, the method further includes:

[0014] Calculate the second adjustment power of each distributed photovoltaic power station according to the power difference, the real-time total power of the photovoltaic cluster, and the real-time output power of each distributed photovoltaic power station.

[0015] Generate the second power adjustment control parameter corresponding to each distributed photovoltaic power station according to the second adjustment power of each distributed photovoltaic power station.

[0016] Synchronously send each second power adjustment control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts the power generation power according to the received second power adjustment control parameter.

[0017] In a possible design, the calculating the second adjustment power of each distributed photovoltaic power station according to the power difference, the real-time total power of the photovoltaic cluster, and the real-time output power of each distributed photovoltaic power station includes:

[0018] Calculate the ratio of the real-time output power of each distributed photovoltaic power station to the real-time total power of the photovoltaic cluster respectively, and use the ratio as the adjustment weight of the corresponding distributed photovoltaic power station.

[0019] Multiply the power difference by the adjustment weight of each distributed photovoltaic power station respectively to obtain the second adjustment power of each distributed photovoltaic power station.

[0020] In a possible design, the predicting the real-time peak power of each distributed photovoltaic power station according to the real-time site temperature and the real-time site light intensity includes:

[0021] Retrieve the reference power generation power and influence factor data of the corresponding distributed photovoltaic power station within a set historical time period. The influence factor data includes a light intensity influence factor curve graph and a temperature influence factor curve graph.

[0022] Substitute the real-time site temperature of the corresponding distributed photovoltaic power station into the temperature influence factor curve graph for calibration to determine the corresponding temperature influence factor, and substitute the real-time site light intensity of the corresponding distributed photovoltaic power station into the light intensity influence factor curve graph for calibration to determine the corresponding light intensity influence factor;

[0023] Calculate the real-time peak power of the corresponding distributed photovoltaic power station according to the reference power generation, temperature influence factor and light intensity influence factor, where the real-time peak power = reference power generation × temperature influence factor × light intensity influence factor.

[0024] In a possible design, the calculation of the available increased power of each distributed photovoltaic power station according to the real-time output power and the real-time peak power includes:

[0025] Retrieve the power loss index of each distributed photovoltaic power station;

[0026] Calculate the available increased power of each distributed photovoltaic power station according to the real-time output power, the real-time peak power and the power loss index, where the available increased power = (real-time peak power - real-time output power) × power loss index.

[0027] In a possible design, the determination of the first adjustment power of each distributed photovoltaic power station according to the power difference and the real-time output power and the available increased power of each distributed photovoltaic power station includes:

[0028] Divide the available increased power of each distributed photovoltaic power station by its real-time output power to obtain the corresponding increment ratio;

[0029] Regard several distributed photovoltaic power stations with the highest increment ratio as the target distributed photovoltaic power stations, and regard the remaining distributed photovoltaic power stations as non-target distributed photovoltaic power stations, and the sum of the available increased powers of all target distributed photovoltaic power stations is greater than or equal to the power difference;

[0030] Divide the power difference by the sum of the available increased powers of all target distributed photovoltaic power stations to obtain the adjustment ratio;

[0031] Multiply the available increased power of the corresponding target distributed photovoltaic power station by the adjustment ratio to obtain the first adjustment power of the corresponding target distributed photovoltaic power station, and set the first adjustment power of each non-target distributed photovoltaic power station to 0.

[0032] In a possible design, the determination of the first adjustment power of each distributed photovoltaic power station according to the power difference and the real-time output power and the available increased power of each distributed photovoltaic power station includes:

[0033] Divide the available increased power of each distributed photovoltaic power station by its real-time output power to obtain the corresponding increment ratio;

[0034] Take the distributed photovoltaic power stations with an incremental ratio exceeding the set threshold as the target distributed photovoltaic power stations, and the remaining distributed photovoltaic power stations as non-target distributed photovoltaic power stations;

[0035] When the sum of the available power increases of all target distributed photovoltaic power stations is less than the power difference, update several non-target distributed photovoltaic power stations with the highest available power increases to target distributed photovoltaic power stations, so that the sum of the available power increases of all target distributed photovoltaic power stations is greater than or equal to the power difference;

[0036] Divide the power difference by the sum of the available power increases of all target distributed photovoltaic power stations to obtain the adjustment ratio;

[0037] Multiply the available power increase of the corresponding target distributed photovoltaic power station by the adjustment ratio to obtain the first adjustment power of the corresponding target distributed photovoltaic power station, and set the first adjustment power of each non-target distributed photovoltaic power station to 0.

[0038] In a second aspect, a distributed photovoltaic group regulation and control system is provided, including a demand determination unit, a parameter acquisition unit, a first calculation unit, a second calculation unit, a power regulation unit, a parameter generation unit, and a group control execution unit, where:

[0039] The demand determination unit is used to obtain real-time grid load demand information and determine the target output power of the photovoltaic cluster according to the real-time grid load demand information;

[0040] The parameter acquisition unit is used to collect the real-time output parameters and real-time environmental parameters of each distributed photovoltaic power station in the distributed photovoltaic cluster. The real-time output parameters include real-time sampled output current and real-time sampled output voltage, and the environmental parameters include real-time site temperature and real-time site light intensity;

[0041] The first calculation unit is used to calculate the real-time output power of each distributed photovoltaic power station according to the real-time sampled output current and real-time sampled output voltage, and estimate the real-time peak power of each distributed photovoltaic power station according to the real-time site temperature and real-time site light intensity;

[0042] The second calculation unit is used to determine the real-time total power of the photovoltaic cluster according to the real-time output power of each distributed photovoltaic power station, and calculate the available power increase of each distributed photovoltaic power station according to the real-time output power and real-time peak power;

[0043] The power regulation unit is used to calculate the power difference by using the real-time total power of the photovoltaic cluster and the target output power of the photovoltaic cluster, and when the power difference is negative, determine the first adjustment power of each distributed photovoltaic power station according to the power difference, the real-time output power, and the available power increase of each distributed photovoltaic power station;

[0044] A parameter generation unit, configured to generate first power regulation control parameters corresponding to each distributed photovoltaic power station according to the first regulation power of each distributed photovoltaic power station;

[0045] A group control execution unit, configured to synchronously send each first power regulation control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts the power generation power according to the received first power regulation control parameter.

[0046] In a third aspect, a distributed photovoltaic group regulation and group control system is provided, including:

[0047] A memory, configured to store instructions;

[0048] A processor, configured to read the instructions stored in the memory and execute any one of the methods in the first aspect according to the instructions.

[0049] In a fourth aspect, a computer-readable storage medium is provided, on which instructions are stored. When the instructions run on a computer, the computer is caused to execute any one of the methods in the first aspect. At the same time, a computer program product is also provided. When the computer program product runs on a computer, it executes any one of the methods in the first aspect.

[0050] Advantageous effects: The present invention determines the target output power of the photovoltaic cluster according to the obtained grid load demand, and real-time collects the real-time output parameters and real-time environmental parameters of each distributed photovoltaic power station in the distributed photovoltaic cluster for power evaluation and analysis, determines the regulation power of each distributed photovoltaic power station, and then generates corresponding power regulation control parameters and synchronously sends them to each distributed photovoltaic power station to achieve efficient distributed photovoltaic group regulation and group control and meet the grid load demand. The present invention can perform real-time automatic power generation regulation of the distributed photovoltaic cluster according to the grid load demand, timely and effectively balance the grid load, avoid the situation of grid overload or power supply shortage, and improve the economy and stability of the photovoltaic cluster power supply system. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0052] Figure 1 It is a schematic diagram of the steps of the method in Embodiment 1 of the present invention;

[0053] Figure 2 It is a schematic diagram of the composition of the system in Embodiment 2 of the present invention;

[0054] Figure 3 This is a schematic diagram of the system in Embodiment 3 of the present invention. Detailed implementation manners

[0055] It should be noted here that the description of these embodiment manners is used to help understand the present invention, but does not constitute a limitation to the present invention. The specific structural and functional details disclosed herein are only used to describe the exemplary embodiments of the present invention. However, the present invention can be embodied in many alternative forms and should not be construed as being limited to the embodiments set forth herein.

[0056] It should be understood that unless otherwise clearly specified and defined, the term "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments can be understood according to specific situations.

[0057] Specific details are provided in the following description to facilitate a complete understanding of the exemplary embodiments. However, those of ordinary skill in the art should understand that the exemplary embodiments can be implemented without these specific details. For example, a device can be shown in a block diagram to avoid obscuring the example with unnecessary details. In other embodiments, well-known processes, structures, and technologies can be shown without unnecessary details to avoid obscuring the embodiments.

[0058] Embodiment 1:

[0059] This embodiment provides a distributed photovoltaic group regulation and control method, which can be applied to a corresponding AGC (Automatic Generation Control) system. The AGC system establishes data docking with each distributed photovoltaic power station in the distributed photovoltaic cluster. As Figure 1 shown, the method includes the following steps:

[0060] S1. Obtain real-time grid load demand information, and determine the target output power of the photovoltaic cluster according to the real-time grid load demand information.

[0061] Specifically, the AGC system first obtains the real-time grid load demand information, and then analyzes and determines the target output power of the photovoltaic cluster of the corresponding power generation end (i.e., the distributed photovoltaic cluster) according to the real-time grid load demand information.

[0062] S2. Collect the real-time output parameters and real-time environmental parameters of each distributed photovoltaic power station in the distributed photovoltaic cluster. The real-time output parameters include real-time sampled output current and real-time sampled output voltage, and the environmental parameters include real-time site temperature and real-time site light intensity.

[0063] In specific implementation, the AGC system collects the real-time output parameters and real-time environmental parameters of each distributed photovoltaic power station through the data interaction channels with each distributed photovoltaic power station in the distributed photovoltaic cluster. Among them, the real-time output parameters include real-time sampled output current and real-time sampled output voltage, and the environmental parameters include real-time site temperature and real-time site light intensity.

[0064] S3. Calculate the real-time output power of each distributed photovoltaic power station according to the real-time sampled output current and real-time sampled output voltage, and estimate the real-time peak power of each distributed photovoltaic power station according to the real-time site temperature and real-time site light intensity.

[0065] In specific implementation, the AGC system can multiply the corresponding real-time sampled output current by the real-time sampled output voltage to obtain the real-time output power of each distributed photovoltaic power station. Then retrieve the reference power generation power and influence factor data of the corresponding distributed photovoltaic power station in the set historical time period, such as the recent week. The influence factor data includes the light intensity influence factor curve graph and the temperature influence factor curve graph. Then substitute the real-time site temperature of the corresponding distributed photovoltaic power station into the temperature influence factor curve graph for calibration to determine the corresponding temperature influence factor, and substitute the real-time site light intensity of the corresponding distributed photovoltaic power station into the light intensity influence factor curve graph for calibration to determine the corresponding light intensity influence factor. Finally, calculate the real-time peak power of the corresponding distributed photovoltaic power station according to the reference power generation power, temperature influence factor, and light intensity influence factor. Among them, the real-time peak power = reference power generation power × temperature influence factor × light intensity influence factor.

[0066] S4. Determine the real-time total power of the photovoltaic cluster according to the real-time output power of each distributed photovoltaic power station, and calculate the power increase capacity of each distributed photovoltaic power station according to the real-time output power and real-time peak power.

[0067] In specific implementation, the AGC system can summarize the real-time output power of each distributed photovoltaic power station and statistically determine the real-time total power of the distributed photovoltaic cluster. The distributed photovoltaic cluster consists of multiple distributed photovoltaic stations. Therefore, the total power of the cluster is generally the sum of the powers of each distributed photovoltaic station. Then retrieve the power loss index of each distributed photovoltaic power station, and calculate the power increase capacity of each distributed photovoltaic power station according to the real-time output power, real-time peak power, and power loss index. Among them, the power increase capacity = (real-time peak power - real-time output power) × power loss index.

[0068] S5. Calculate the power difference using the real-time total power of the photovoltaic cluster and the target output power of the photovoltaic cluster. When the power difference is negative, determine the first adjustment power of each distributed photovoltaic power station according to the power difference, the real-time output power, and the available increased power of each distributed photovoltaic power station.

[0069] In specific implementation, the AGC system can subtract the target output power of the photovoltaic cluster from the real-time total power of the photovoltaic cluster to calculate the power difference. When the power difference is 0, it indicates that the real-time total power of the photovoltaic cluster will just be able to meet the subsequent grid load demand, and there is no need to adjust the power generation of the cluster. When the power difference is negative, it indicates that the real-time total power of the photovoltaic cluster will not be able to meet the subsequent grid load demand, and the power generation of the cluster needs to be increased. At this time:

[0070] The AGC system divides the available increased power of each distributed photovoltaic power station by its real-time output power to obtain the corresponding increment ratio; selects several distributed photovoltaic power stations with the highest increment ratios as target distributed photovoltaic power stations, and the remaining distributed photovoltaic power stations as non-target distributed photovoltaic power stations, and the sum of the available increased powers of all target distributed photovoltaic power stations is greater than or equal to the power difference; then divides the power difference by the sum of the available increased powers of all target distributed photovoltaic power stations to obtain the adjustment ratio; multiplies the available increased power of the corresponding target distributed photovoltaic power station by the adjustment ratio to obtain the first adjustment power of the corresponding target distributed photovoltaic power station, and sets the first adjustment power of each non-target distributed photovoltaic power station to 0.

[0071] Alternatively, the AGC system divides the available increased power of each distributed photovoltaic power station by its real-time output power to obtain the corresponding increment ratio; selects the distributed photovoltaic power stations with increment ratios exceeding the set threshold as target distributed photovoltaic power stations, and the remaining distributed photovoltaic power stations as non-target distributed photovoltaic power stations; when the sum of the available increased powers of all target distributed photovoltaic power stations is less than the power difference, updates several non-target distributed photovoltaic power stations with the highest available increased powers as target distributed photovoltaic power stations, so that the sum of the available increased powers of all target distributed photovoltaic power stations is greater than or equal to the power difference; then divides the power difference by the sum of the available increased powers of all target distributed photovoltaic power stations to obtain the adjustment ratio; multiplies the available increased power of the corresponding target distributed photovoltaic power station by the adjustment ratio to obtain the first adjustment power of the corresponding target distributed photovoltaic power station, and sets the first adjustment power of each non-target distributed photovoltaic power station to 0.

[0072] When the power difference is positive, it indicates that the real-time total power of the photovoltaic cluster will exceed the subsequent grid load demand, and the power generation power of the cluster needs to be reduced. At this time, the AGC system can calculate the second adjustment power of each distributed photovoltaic power station according to the power difference, the real-time total power of the photovoltaic cluster, and the real-time output power of each distributed photovoltaic power station, including: calculating the ratio of the real-time output power of each distributed photovoltaic power station to the real-time total power of the photovoltaic cluster respectively, and using the ratio as the adjustment weight of the corresponding distributed photovoltaic power station, and then multiplying the power difference by the adjustment weight of each distributed photovoltaic power station to obtain the second adjustment power of each distributed photovoltaic power station.

[0073] S6. Generate the first power adjustment control parameters corresponding to each distributed photovoltaic power station according to the first adjustment power of each distributed photovoltaic power station.

[0074] In specific implementation, the AGC system can generate the first power adjustment control parameters corresponding to each distributed photovoltaic power station according to the first adjustment power of each distributed photovoltaic power station. Or generate the second power adjustment control parameters corresponding to each distributed photovoltaic power station according to the second adjustment power of each distributed photovoltaic power station.

[0075] S7. Synchronously send each first power adjustment control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts its power generation power according to the received first power adjustment control parameter.

[0076] In specific implementation, the AGC system synchronously sends each first power adjustment control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts its power generation power according to the received first power adjustment control parameter, that is, increases the power generation power. Or synchronously send each second power adjustment control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts its power generation power according to the received second power adjustment control parameter, that is, reduces the power generation power.

[0077] The photovoltaic power generation power of each distributed photovoltaic power station can be adjusted, and its power adjustment is mainly achieved through several methods, including but not limited to the maximum power point tracking technology (MPPT), the series-parallel component technology, the shadow compensation technology, the inverter capacity adjustment technology, and the energy storage technology. The combined application of these technologies can realize the optimization and adjustment of the output power of the photovoltaic power generation system. In addition, there is also a method of forming a closed-loop adjustment through the automatic compensation device and the PF adjustment function of the inverter, and using the intelligent controller to continuously collect the power factor value on the intelligent electric meter, calculating the reactive power that needs to be configured for the entire system, and then sending instructions to each inverter through the bus to realize the adjustment of the power factor. These methods together ensure that the power of the distributed photovoltaic power station can be adjusted and optimized as needed.

[0078] The method of this embodiment can perform real-time automatic power generation regulation on distributed photovoltaic clusters according to the power grid load demand, so as to balance the power grid load timely and effectively, avoid the situation of power grid overload or insufficient power supply, and improve the economy and stability of the photovoltaic cluster power supply system.

[0079] Embodiment 2:

[0080] This embodiment provides a distributed photovoltaic group regulation and control system, as Figure 2 shown, including a demand determination unit, a parameter acquisition unit, a first calculation unit, a second calculation unit, a power regulation unit, a parameter generation unit and a group control execution unit, where:

[0081] The demand determination unit is used to obtain real-time power grid load demand information and determine the target output power of the photovoltaic cluster according to the real-time power grid load demand information;

[0082] The parameter acquisition unit is used to collect the real-time output parameters and real-time environmental parameters of each distributed photovoltaic power station in the distributed photovoltaic cluster. The real-time output parameters include real-time sampled output current and real-time sampled output voltage, and the environmental parameters include real-time site temperature and real-time site light intensity;

[0083] The first calculation unit is used to calculate the real-time output power of each distributed photovoltaic power station according to the real-time sampled output current and real-time sampled output voltage, and estimate the real-time peak power of each distributed photovoltaic power station according to the real-time site temperature and real-time site light intensity;

[0084] The second calculation unit is used to determine the real-time total power of the photovoltaic cluster according to the real-time output power of each distributed photovoltaic power station, and calculate the available power increase of each distributed photovoltaic power station according to the real-time output power and real-time peak power;

[0085] The power regulation unit is used to calculate the power difference by using the real-time total power of the photovoltaic cluster and the target output power of the photovoltaic cluster, and when the power difference is negative, determine the first adjustment power of each distributed photovoltaic power station according to the power difference, the real-time output power and the available power increase of each distributed photovoltaic power station;

[0086] The parameter generation unit is used to generate the first power regulation control parameters corresponding to each distributed photovoltaic power station according to the first adjustment power of each distributed photovoltaic power station;

[0087] The group control execution unit is used to synchronously send each first power regulation control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts the power generation power according to the received first power regulation control parameter.

[0088] Embodiment 3:

[0089] This embodiment provides a distributed photovoltaic group regulation and control system, asFigure 3 As shown in Figure 3 , at the hardware level, it includes:

[0090] A data interface for establishing data docking between the processor and each distributed photovoltaic power station in the distributed photovoltaic cluster;

[0091] A memory for storing instructions;

[0092] A processor for reading the instructions stored in the memory and executing the distributed photovoltaic group regulation and control method in Embodiment 1 according to the instructions.

[0093] Optionally, the system further includes an internal bus. The processor, the memory, and the data interface can be interconnected through the internal bus. The internal bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc.

[0094] The memory can include, but is not limited to, a random access memory (RAM), a read only memory (ROM), a flash memory, a first input first output (FIFO) memory, and / or a first in last out (FILO) memory, etc. The processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0095] Embodiment 4:

[0096] This embodiment provides a computer-readable storage medium, on which instructions are stored. When the instructions run on a computer, the computer is caused to execute the distributed photovoltaic group regulation and control method in Embodiment 1. Among them, the computer-readable storage medium refers to a carrier for storing data, which may include, but is not limited to, floppy disks, optical discs, hard disks, flash memories, USB flash drives, and / or memory sticks, etc. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0097] This embodiment also provides a computer program product, which, when running on a computer, executes the distributed photovoltaic group regulation and control method in Embodiment 1. Among them, the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0098] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, 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 distributed photovoltaic group regulation and control method, characterized in that Including: Obtain real-time grid load demand information, and determine the target output power of the photovoltaic cluster according to the real-time grid load demand information; Collect the real-time output parameters and real-time environmental parameters of each distributed photovoltaic power station in the distributed photovoltaic cluster. The real-time output parameters include real-time sampled output current and real-time sampled output voltage, and the environmental parameters include real-time site temperature and real-time site light intensity; Calculate the real-time output power of each distributed photovoltaic power station according to the real-time sampled output current and real-time sampled output voltage, and estimate the real-time peak power of each distributed photovoltaic power station according to the real-time site temperature and real-time site light intensity, including: retrieve the reference power generation power and influence factor data of the corresponding distributed photovoltaic power station within a set historical time period. The influence factor data includes a light intensity influence factor curve graph and a temperature influence factor curve graph. Substitute the real-time site temperature of the corresponding distributed photovoltaic power station into the temperature influence factor curve graph for calibration to determine the corresponding temperature influence factor. Substitute the real-time site light intensity of the corresponding distributed photovoltaic power station into the light intensity influence factor curve graph for calibration to determine the corresponding light intensity influence factor. Calculate the real-time peak power of the corresponding distributed photovoltaic power station according to the reference power generation power, temperature influence factor, and light intensity influence factor. Among them, the real-time peak power = reference power generation power × temperature influence factor × light intensity influence factor; Determine the real-time total power of the photovoltaic cluster according to the real-time output power of each distributed photovoltaic power station, and calculate the power increase capacity of each distributed photovoltaic power station according to the real-time output power and real-time peak power, including: retrieve the power loss index of each distributed photovoltaic power station; calculate the power increase capacity of each distributed photovoltaic power station according to the real-time output power, real-time peak power, and power loss index. Among them, the power increase capacity = (real-time peak power - real-time output power) × power loss index; Calculate the power difference using the real-time total power of the photovoltaic cluster and the target output power of the photovoltaic cluster. When the power difference is negative, determine the first adjustment power of each distributed photovoltaic power station according to the power difference, the real-time output power, and the power increase capacity of each distributed photovoltaic power station, including: divide the power increase capacity of each distributed photovoltaic power station by its real-time output power to obtain the corresponding increment ratio. Take several distributed photovoltaic power stations with the highest increment ratio as the target distributed photovoltaic power stations, and the remaining distributed photovoltaic power stations as non-target distributed photovoltaic power stations. And the sum of the power increase capacities of all target distributed photovoltaic power stations is greater than or equal to the power difference. Divide the power difference by the sum of the power increase capacities of all target distributed photovoltaic power stations to obtain the adjustment ratio. Multiply the power increase capacity of the corresponding target distributed photovoltaic power station by the adjustment ratio to obtain the first adjustment power of the corresponding target distributed photovoltaic power station, and set the first adjustment power of each non-target distributed photovoltaic power station to 0; Generate the first power adjustment control parameter corresponding to each distributed photovoltaic power station according to the first adjustment power of each distributed photovoltaic power station; Synchronously send each first power adjustment control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts the power generation power according to the received first power adjustment control parameter.

2. The distributed photovoltaic group regulation and control method according to claim 1, wherein When the power difference is positive, the method further includes: Calculating the second adjustment power of each distributed photovoltaic power station according to the power difference, the real-time total power of the photovoltaic cluster, and the real-time output power of each distributed photovoltaic power station; Generating second power adjustment control parameters corresponding to each distributed photovoltaic power station according to the second adjustment power of each distributed photovoltaic power station; Synchronously sending each second power adjustment control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts the power generation power according to the received second power adjustment control parameter.

3. A distributed photovoltaic group regulation and control method according to claim 2, characterized in that The calculating the second adjustment power of each distributed photovoltaic power station according to the power difference, the real-time total power of the photovoltaic cluster, and the real-time output power of each distributed photovoltaic power station includes: Calculating the ratio of the real-time output power of each distributed photovoltaic power station to the real-time total power of the photovoltaic cluster respectively, and taking the ratio as the adjustment weight of the corresponding distributed photovoltaic power station; Multiplying the power difference by the adjustment weight of each distributed photovoltaic power station respectively to obtain the second adjustment power of each distributed photovoltaic power station.

4. A distributed photovoltaic group regulation and control method according to claim 1, characterized in that, The determining the first adjustment power of each distributed photovoltaic power station according to the power difference and the real-time output power and the power increase capacity of each distributed photovoltaic power station includes: Dividing the power increase capacity of each distributed photovoltaic power station by its real-time output power to obtain the corresponding increment ratio; Regarding the distributed photovoltaic power stations with the increment ratio exceeding the set threshold as target distributed photovoltaic power stations, and the remaining distributed photovoltaic power stations as non-target distributed photovoltaic power stations; When the sum of the power increase capacities of all target distributed photovoltaic power stations is less than the power difference, updating several non-target distributed photovoltaic power stations with the highest power increase capacity as target distributed photovoltaic power stations, so that the sum of the power increase capacities of all target distributed photovoltaic power stations is greater than or equal to the power difference; Dividing the power difference by the sum of the power increase capacities of all target distributed photovoltaic power stations to obtain the adjustment ratio; Multiplying the power increase capacity of the corresponding target distributed photovoltaic power station by the adjustment ratio to obtain the first adjustment power of the corresponding target distributed photovoltaic power station, and setting the first adjustment power of each non-target distributed photovoltaic power station to 0.

5. A distributed photovoltaic group regulation and control system, characterized in that, Including a demand determination unit, a parameter acquisition unit, a first calculation unit, a second calculation unit, a power regulation unit, a parameter generation unit, and a group control execution unit, where: The demand determination unit is configured to obtain real-time grid load demand information and determine the target output power of the photovoltaic cluster according to the real-time grid load demand information; The parameter acquisition unit is configured to acquire the real-time output parameters and real-time environmental parameters of each distributed photovoltaic power station in the distributed photovoltaic cluster, where the real-time output parameters include real-time sampled output current and real-time sampled output voltage, and the environmental parameters include real-time site temperature and real-time site light intensity; A first calculation unit, configured to calculate the real-time output power of each distributed photovoltaic power station according to the real-time sampled output current and the real-time sampled output voltage, and estimate the real-time peak power of each distributed photovoltaic power station according to the real-time site temperature and the real-time site light intensity, including: retrieving the reference power generation power and influence factor data of the corresponding distributed photovoltaic power station within a set historical time period, where the influence factor data includes a light intensity influence factor curve graph and a temperature influence factor curve graph, substituting the real-time site temperature of the corresponding distributed photovoltaic power station into the temperature influence factor curve graph for calibration to determine the corresponding temperature influence factor, substituting the real-time site light intensity of the corresponding distributed photovoltaic power station into the light intensity influence factor curve graph for calibration to determine the corresponding light intensity influence factor, and calculating the real-time peak power of the corresponding distributed photovoltaic power station according to the reference power generation power, the temperature influence factor, and the light intensity influence factor, where the real-time peak power = reference power generation power × temperature influence factor × light intensity influence factor; A second calculation unit, configured to determine the real-time total power of the photovoltaic cluster according to the real-time output power of each distributed photovoltaic power station, and calculate the power increase capacity of each distributed photovoltaic power station according to the real-time output power and the real-time peak power, including: retrieving the power loss index of each distributed photovoltaic power station; calculating the power increase capacity of each distributed photovoltaic power station according to the real-time output power, the real-time peak power, and the power loss index, where the power increase capacity = (real-time peak power - real-time output power) × power loss index; A power regulation unit, configured to calculate the power difference by using the real-time total power of the photovoltaic cluster and the target output power of the photovoltaic cluster, and when the power difference is negative, determine the first adjustment power of each distributed photovoltaic power station according to the power difference, the real-time output power, and the power increase capacity of each distributed photovoltaic power station, including: dividing the power increase capacity of each distributed photovoltaic power station by its real-time output power to obtain the corresponding increment ratio, taking several distributed photovoltaic power stations with the highest increment ratio as the target distributed photovoltaic power stations, and taking the remaining distributed photovoltaic power stations as non-target distributed photovoltaic power stations, and the sum of the power increase capacities of all target distributed photovoltaic power stations is greater than or equal to the power difference, dividing the power difference by the sum of the power increase capacities of all target distributed photovoltaic power stations to obtain the adjustment ratio, multiplying the power increase capacity of the corresponding target distributed photovoltaic power station by the adjustment ratio to obtain the first adjustment power of the corresponding target distributed photovoltaic power station, and setting the first adjustment power of each non-target distributed photovoltaic power station to 0; A parameter generation unit, configured to generate the first power adjustment control parameter corresponding to each distributed photovoltaic power station according to the first adjustment power of each distributed photovoltaic power station; A group control execution unit, configured to synchronously send each first power adjustment control parameter to the corresponding distributed photovoltaic power station, so that each distributed photovoltaic power station adjusts the power generation power according to the received first power adjustment control parameter.

6. A distributed photovoltaic group regulation and control system, characterized in that Including: A memory, configured to store instructions; A processor, configured to read the instructions stored in the memory and execute the distributed photovoltaic group adjustment and group control method according to any one of claims 1-4.

7. A computer program product, characterized in that, When the computer program product runs on a computer, it executes the distributed photovoltaic group regulation and control method according to any one of claims 1-4.

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