Load Regulation System and Method for Photovoltaic Power Generation Network

Abstract

The present application provides a load regulation system and method for a photovoltaic power generation network, which extracts the active power characteristics and reactive power characteristics in the photovoltaic power generation network from the non-linear load power, determines the compensation relationship between the reactive power and the active power in the photovoltaic power generation network through the reactive power characteristics, and then determines the power loss characteristics during the non-linear fluctuation of the load according to the compensation relationship and the active power characteristics; extracts the steady characteristics of the linear load power, and performs an equilibrium prediction on the load power according to the steady characteristics and the linear relationship between the supply power and the load demand in the linear load power to obtain the load equilibrium value of the photovoltaic power generation network; uses the power loss characteristics to perform loss compensation on the load equilibrium value to obtain the balance parameter value of the load power in the photovoltaic power generation network, and performs an equilibrium adjustment on the output power of the photovoltaic power generation network based on the balance parameter value of the load power. Based on the above solution, the equilibrium adjustment of the output power in the photovoltaic power generation network can be realized.

Description

Technical Field

[0001] The present application relates to the technical field of photovoltaic power generation, and more specifically, to a load regulation system and method for a photovoltaic power generation network. Background Art

[0002] As a renewable energy source, photovoltaic power generation is affected by weather, seasonal changes, and day-night cycles, and its power generation power often fluctuates significantly. When there is sufficient sunlight during the day, the photovoltaic power generation power is relatively high, while at night or on cloudy days, the power generation power drops significantly, resulting in large fluctuations in the power grid. Such fluctuations in power generation power not only affect the stability of the photovoltaic power grid but may also lead to an imbalance between power supply and demand, thereby causing power supply shortages or overload problems. Especially in power grids with an increasing proportion of photovoltaic power, the power fluctuations are more significant. Therefore, how to achieve balanced regulation of the output power in a photovoltaic power generation network is a difficult problem faced by the industry. Summary of the Invention

[0003] The present application provides a load regulation system and method for a photovoltaic power generation network, which can achieve balanced regulation of the output power in the photovoltaic power generation network.

[0004] In a first aspect, the present application provides a load regulation method for a photovoltaic power generation network, including:

[0005] When the photovoltaic power generation network supplies power, collect the load power information in the photovoltaic power generation network, and then divide the load power information into linear load power and non-linear load power;

[0006] Extract the active power characteristics and reactive power characteristics in the photovoltaic power generation network from the non-linear load power, determine the compensation relationship between the reactive power and the active power in the photovoltaic power generation network through the reactive power characteristics and the target power factor of the photovoltaic power generation network, and then determine the power loss characteristics of the photovoltaic power generation network during non-linear load fluctuations based on the compensation relationship and the active power characteristics;

[0007] Extract the steady characteristics of the linear load power in the photovoltaic power generation network, and predict the load power in the photovoltaic power generation network based on the steady characteristics and the linear relationship between the supply power and the load demand in the linear load power to obtain the load balance value of the photovoltaic power generation network;

[0008] Use the power loss characteristics to compensate for the load balance value to obtain the balance parameter value of the load power in the photovoltaic power generation network, and perform balanced regulation of the output power of the photovoltaic power generation network based on the balance parameter value of the load power.

[0009] In some embodiments, specifically including dividing the load power information into linear load power and non-linear load power:

[0010] Divide the power supply of the photovoltaic power generation network into multiple load stages;

[0011] Calculate the power factor of each load stage based on the load power information;

[0012] Take all load stages with a power factor greater than or equal to a preset linear threshold as linear load stages, and then determine the linear load power based on the power in each linear load stage;

[0013] Take the power in the load stages with a power factor less than the preset linear threshold as non-linear load stages, and then determine the non-linear load power based on the power in each non-linear load stage.

[0014] In some embodiments, extracting the active power characteristics and reactive power characteristics in the photovoltaic power generation network from the non-linear load power specifically includes:

[0015] For each non-linear load stage, obtain all the power in the non-linear load stage from the non-linear load power;

[0016] Use a harmonic analysis model to divide all the power into the active power and reactive power in the non-linear load stage, and then obtain the active power and reactive power in each non-linear load stage;

[0017] Determine the active power characteristics in the photovoltaic power generation network based on all the active power, and determine the reactive power characteristics in the photovoltaic power generation network based on all the reactive power.

[0018] In some embodiments, determining the compensation relationship between reactive power and active power in the photovoltaic power generation network based on the reactive power characteristics and the target power factor of the photovoltaic power generation network specifically includes:

[0019] Obtain the phase angle of the current load and the phase angle of the target power factor in the photovoltaic power generation network;

[0020] Determine the compensation factor of the photovoltaic power generation network based on the phase angle of the current load and the phase angle of the target power factor;

[0021] Determine the compensation relationship between reactive power and active power in the photovoltaic power generation network based on the compensation factor and the reactive power characteristics.

[0022] In some embodiments, determining the power loss characteristics of the photovoltaic power generation network during non-linear load fluctuations based on the compensation relationship and the active power characteristics specifically includes:

[0023] Conduct a power loss assessment on the active power characteristics to obtain the active power loss of the photovoltaic power generation network during non-linear load fluctuations;

[0024] Perform loss compensation on the active power loss according to the compensation relationship to obtain the power loss characteristics of the photovoltaic power generation network under non-linear load fluctuations.

[0025] In some embodiments, extracting the steady characteristics of the linear load power in the photovoltaic power generation network specifically includes:

[0026] Obtain the historical linear load data in the photovoltaic power generation network;

[0027] Use a smoothing algorithm to eliminate noise from the historical linear load data to obtain stable data of the load power;

[0028] Extract the steady characteristics of the linear load power in the photovoltaic power generation network from the stable data of the load power.

[0029] In some embodiments, the load power includes the reactive power and active power in the photovoltaic power generation network.

[0030] In a second aspect, the present application provides a load regulation system for a photovoltaic power generation network, including a load regulation unit, and the load regulation unit includes:

[0031] A collection module, configured to collect load power information in the photovoltaic power generation network when the photovoltaic power generation network supplies power, and then divide the load power information into linear load power and non-linear load power;

[0032] A processing module, configured to extract the active power characteristics and reactive power characteristics in the photovoltaic power generation network from the non-linear load power, determine the compensation relationship between the reactive power and the active power in the photovoltaic power generation network through the reactive power characteristics and the target power factor of the photovoltaic power generation network, and then determine the power loss characteristics of the photovoltaic power generation network under non-linear load fluctuations according to the compensation relationship and the active power characteristics;

[0033] The processing module is further configured to extract the steady characteristics of the linear load power in the photovoltaic power generation network, predict the load power in the photovoltaic power generation network according to the steady characteristics and the linear relationship between the supplied power and the load demand in the linear load power, and obtain the load balance value of the photovoltaic power generation network;

[0034] An execution module, configured to perform loss compensation on the load balance value using the power loss characteristics to obtain a balance parameter value of the load power in the photovoltaic power generation network, and perform balance adjustment on the output power of the photovoltaic power generation network based on the balance parameter value of the load power.

[0035] In a third aspect, the present application provides a computer device, which includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the above-mentioned load regulation method for a photovoltaic power generation network.

[0036] In a fourth aspect, the present application provides a computer-readable storage medium, in which instructions or codes are stored. When the instructions or codes run on a computer, the computer is enabled to execute the above-mentioned load regulation method for a photovoltaic power generation network.

[0037] The technical solutions provided by the disclosed embodiments of the present application have the following beneficial effects:

[0038] In a load regulation system and method for a photovoltaic power generation network provided by the present application, when the photovoltaic power generation network supplies power, the load power information in the photovoltaic power generation network is collected, and then the load power information is divided into linear load power and non-linear load power; the active power characteristics and reactive power characteristics in the photovoltaic power generation network are extracted from the non-linear load power, and the compensation relationship between the reactive power and the active power in the photovoltaic power generation network is determined through the reactive power characteristics and the target power factor of the photovoltaic power generation network. Then, based on the compensation relationship and the active power characteristics, the power loss characteristics of the photovoltaic power generation network during non-linear load fluctuations are determined; the steady characteristics of the linear load power in the photovoltaic power generation network are extracted, and based on the steady characteristics and the linear relationship between the supply power and the load demand in the linear load power, the load power in the photovoltaic power generation network is predicted to obtain the load balance value of the photovoltaic power generation network; the power loss characteristics are used to compensate the load balance value to obtain the balance parameter value of the load power in the photovoltaic power generation network, and the output power of the photovoltaic power generation network is evenly regulated based on the balance parameter value of the load power.

[0039] It can be seen that in this application, the power loss characteristic is used to compensate for the loss of the load balance value to obtain the balance parameter value of the load power in the photovoltaic power generation network, and the output power of the photovoltaic power generation network is evenly regulated based on the balance parameter value of the load power. First, the power loss characteristic reflects the energy loss of the photovoltaic power generation network in the face of load fluctuations and provides a basis for adjustment feedback. By accurately grasping the power loss characteristic, the photovoltaic power generation network can adjust the output power of the photovoltaic power generation network according to the degree of load fluctuations. Especially when the load changes non-linearly severely, the photovoltaic power generation network can maintain the stability of the output power by adjusting the power loss amount, so as to achieve an accurate match between the load and the supply, and further effectively reduce the power deviation caused by load fluctuations, optimize the operation efficiency of the photovoltaic power generation network, and improve the load stability of the photovoltaic power generation network. Then, the load balance value reflects the power demand and supply balance of the photovoltaic power generation network under different load states. An accurate load balance value helps to provide an adjustment reference for the photovoltaic power generation network. Especially when the load demand changes, the load balance value provides an optimal target for the photovoltaic power generation network to ensure that the photovoltaic power generation network can be adjusted according to the real-time load demand. By combining the loss compensation mechanism with the load balance value, the photovoltaic power generation network can dynamically adjust the output power, so as to maintain the load stability of the power grid and avoid overload or energy waste. When facing load fluctuations, the load balance value can help the photovoltaic power generation network identify and respond in time, accurately adjust the output power, and improve the stability and reliability of the photovoltaic power generation network. In summary, based on the above solution, the uniform regulation of the output power in the photovoltaic power generation network can be realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0041] Figure 1 is an exemplary flowchart of a method for regulating the load of a photovoltaic power generation network shown in some embodiments of the present application;

[0042] Figure 2 is an operation mode diagram of a photovoltaic power generation network shown in some embodiments of the present application;

[0043] Figure 3 is a schematic flowchart for determining the balance parameter value of the load power shown in some embodiments of the present application;

[0044] Figure 4It is a schematic structural diagram of a load regulation unit shown in some embodiments of the present application;

[0045] Figure 5 It is a schematic structural diagram of a computer device for implementing a load regulation method for a photovoltaic power generation network shown in some embodiments of the present application. Detailed implementation manners

[0046] To better understand the technical solution of the present application, the technical solution of the present application will be described in detail below in conjunction with the specification drawings and specific implementation manners.

[0047] Refer to Figure 1 , this figure is an exemplary flowchart of a load regulation method for a photovoltaic power generation network shown in some embodiments of the present application. The load regulation method for the photovoltaic power generation network mainly includes the following steps:

[0048] In step 101, when the photovoltaic power generation network supplies power, the load power information in the photovoltaic power generation network is collected, and then the load power information is divided into linear load power and non-linear load power.

[0049] It should be noted that in the present application, the load power information represents the power demand and supply situation of the load in the photovoltaic power generation network, covering active power and reactive power. Among them, the active power represents the power actually used for work in the photovoltaic power generation network, and the active power can reflect the energy consumption part of the load; the apparent power represents the total power in the photovoltaic power generation network, including active power and reactive power; in specific implementation, when the photovoltaic power generation network supplies power, the active power and apparent power in the photovoltaic power generation network within a specified time period (default is the most recent day) are collected at fixed intervals (default is 10 s), and the set of all collected active power and apparent power is used as the load power information in the photovoltaic power generation network.

[0050] In some embodiments, refer to Figure 2 As described, this figure is an operation mode diagram of a photovoltaic power generation network shown in some embodiments of the present application. The operation mode of the integrated power generation, storage and load of this photovoltaic power generation network is described in detail in this figure; Photovoltaic, as the "source" of energy, converts the energy of nature into electric energy through photovoltaic panels and transmits it to users through the power grid; Energy storage systems (such as batteries, etc.) can temporarily store excess energy to cope with the time difference between energy generation and electricity demand, and achieve energy balance and flexible allocation of supply and demand. Controllable loads refer to electrical loads, that is, actual consumers of electric energy. They can interact with the power grid and adjust their electricity consumption behavior according to the needs of the power grid; The charging pile has a dual identity of "source-load". It can not only consume electric energy as a load, but also supply electric energy to the power grid as a power source to achieve two-way energy flow.

[0051] The Internet plays the role of a "factory building" in this system, using data as "fuel", and achieving reasonable optimization and utilization of resources through the centralized control platform; the centralized control platform collects market information, interacts with the power market, provides adjustable capacity and stable output, and ensures the stable operation of the power grid. At the same time, the centralized control platform also conducts energy interaction with the large power grid to achieve efficient utilization of energy. This integrated source-network-load-storage model realizes efficient management and utilization of energy through the coordination of the Internet and the centralized control platform, improving the flexibility and reliability of the energy system.

[0052] In some embodiments, dividing the load power information into linear load power and non-linear load power can be achieved by the following steps:

[0053] Divide the power supply of the photovoltaic power generation network into multiple load stages;

[0054] Calculate the power factor of each load stage through the load power information;

[0055] Take all load stages with a power factor greater than or equal to the preset linear threshold as linear load stages, and then determine the linear load power based on the power in each linear load stage;

[0056] Take the power in the load stages with a power factor less than the preset linear threshold as non-linear load stages, and then determine the non-linear load power based on the power in each non-linear load stage.

[0057] It should be noted that in this application, the linear load power represents the part of the load power that is proportional to the voltage, usually related to pure resistive loads; the non-linear load power represents the part of the load power that is not proportional to the voltage relationship, usually generated by non-linear loads such as power electronic devices; the load stage represents different characteristic stages of the load demand in the photovoltaic power generation network; the power factor is an indicator to measure the load efficiency in the photovoltaic power generation network.

[0058] In specific implementation, first, the power supply of the photovoltaic power generation network is divided into multiple load stages, which can be achieved in the following way: that is, the power supply of the photovoltaic power generation network is divided into multiple load stages by using a load grading control algorithm; second, calculating the power factor of each load stage through the load power information can be achieved in the following way: that is, for each load stage, all active power and apparent power with the acquisition time within the load stage are extracted from the load power information, and the ratio of the mean value of all active power to the mean value of all apparent power can be used as the power factor of the load stage. Through the above method, the power factor of each load stage can be obtained; then, all load stages with a power factor greater than or equal to the preset linear threshold are used as linear load stages, and then determining the linear load power through the power in each linear load stage can be achieved in the following way: that is, all load stages with a power factor greater than or equal to the preset linear threshold are used as linear load stages, and then the value range of the linear load power can be determined by the set of average power in each linear load stage, and the linear load power can be obtained; finally, the power in the load stage with a power factor less than the preset linear threshold is used as the nonlinear load stage, and then determining the nonlinear load power through the power in each nonlinear load stage can be achieved in the following way: that is, the power in the load stage with a power factor less than the preset linear threshold is used as the nonlinear load stage, and then the set of average power in each nonlinear load stage can be used as the value range of the nonlinear load power, and the nonlinear load power can be obtained through this way.

[0059] In step 102, the active power characteristics and reactive power characteristics in the photovoltaic power generation network are extracted from the nonlinear load power. The compensation relationship between the reactive power and the active power in the photovoltaic power generation network is determined through the reactive power characteristics and the target power factor of the photovoltaic power generation network. Furthermore, the power loss characteristics of the photovoltaic power generation network during load nonlinear fluctuations are determined based on the compensation relationship and the active power characteristics.

[0060] In some embodiments, extracting the active power characteristics and reactive power characteristics in the photovoltaic power generation network from the nonlinear load power can be achieved through the following steps:

[0061] For each nonlinear load stage, all the power in the nonlinear load stage is obtained from the nonlinear load power;

[0062] Using a harmonic analysis model, all the power is divided into the active power and reactive power in the nonlinear load stage, and then the active power and reactive power in each nonlinear load stage are obtained;

[0063] The active power characteristics in the photovoltaic power generation network are determined through all the active power, and the reactive power characteristics in the photovoltaic power generation network are determined through all the reactive power.

[0064] It should be noted that in this application, the active power characteristic represents the power change law actually used for work in the photovoltaic power generation network, which is usually directly related to the load demand and power generation output; the reactive power characteristic represents the power change law used to maintain voltage stability but not do actual work in the photovoltaic power generation network, which is mainly determined by the load type and power factor.

[0065] In specific implementation, first, for each non-linear load stage, obtaining all the powers in the non-linear load stage from the non-linear load power can be achieved by the following method, that is: for each non-linear load stage, obtain all the powers in the non-linear load stage from the non-linear load power; then, using a harmonic analysis model to divide all the powers into the active power and reactive power in the non-linear load stage, and further obtaining the active power and reactive power in each non-linear load stage can be achieved by the following method, that is: initialize a harmonic analysis model based on Fourier transform, use all the powers as the input variables in this harmonic analysis model, and use this harmonic analysis model to perform harmonic fundamental wave separation on the powers in the non-linear load stage, so as to take the fundamental wave component output by this harmonic analysis model as the active power in the non-linear load stage, and take the harmonic component output by this harmonic analysis model as the reactive power in the non-linear load stage. Through the above method, the active power and reactive power in each non-linear load stage can be obtained; finally, determining the active power characteristic in the photovoltaic power generation network through all the active powers and determining the reactive power characteristic in the photovoltaic power generation network through all the reactive powers can be achieved by the following method, that is: the set of all active powers can be used as the active power characteristic in the photovoltaic power generation network, and the set of all reactive powers can be used as the reactive power characteristic in the photovoltaic power generation network.

[0066] It should be noted that the harmonic analysis model is a mathematical tool based on Fourier transform. This harmonic analysis model is used to decompose a composite signal into its fundamental wave and harmonic components. Through Fourier transform, the harmonic analysis model can decompose the total power signal in the non-linear load stage of the photovoltaic power generation network into multiple frequency components. Among them, the fundamental wave represents the active power, and the harmonic component represents the reactive power. This harmonic analysis model can extract the frequency characteristics of the power in the non-linear load stage and accurately separate the active power and reactive power according to the different power distributions of the fundamental wave and harmonic waves. Through the harmonic analysis model, the load of the photovoltaic system can be effectively and precisely managed and adjusted to ensure the stability and efficiency of the system.

[0067] In some embodiments, determining the compensation relationship between reactive power and active power in the photovoltaic power generation network through the reactive power characteristic and the target power factor of the photovoltaic power generation network can be achieved by the following steps:

[0068] Obtain the phase angle of the current load and the phase angle of the target power factor in the photovoltaic power generation network;

[0069] Determine the compensation factor of the photovoltaic power generation network according to the phase angle of the current load and the phase angle of the target power factor;

[0070] Determine the compensation relationship of reactive power to active power in the photovoltaic power generation network through the compensation factor and the reactive power characteristics.

[0071] It should be noted that in this application, the compensation relationship represents the influence degree of reactive power on active power; in specific implementation, first, obtaining the phase angle of the current load and the phase angle of the target power factor in the photovoltaic power generation network can be implemented in the following manner, that is: the phase angle of the current load and the phase angle of the target power factor in the photovoltaic power generation network can be obtained from the central control console of the photovoltaic power generation network; then, determining the compensation factor of the photovoltaic power generation network according to the phase angle of the current load and the phase angle of the target power factor can be implemented in the following manner, that is: the difference between the tangent function value of the phase angle of the current load and the tangent function value of the phase angle of the target power factor can be used as the compensation factor of the photovoltaic power generation network, and the compensation factor represents the coefficient used to adjust the difference between reactive power and active power; finally, determining the compensation relationship of reactive power to active power in the photovoltaic power generation network through the compensation factor and the reactive power characteristics can be implemented in the following manner, that is: the product of the mean value of all reactive powers in the reactive power characteristics and the compensation factor can be used as the quantization value of the compensation relationship of reactive power to active power in the photovoltaic power generation network, and thus the compensation relationship of reactive power to active power in the photovoltaic power generation network can be obtained.

[0072] In some embodiments, determining the power loss characteristics of the photovoltaic power generation network during non-linear load fluctuations according to the compensation relationship and the active power characteristics can be implemented by the following steps:

[0073] Conduct a power loss assessment on the active power characteristics to obtain the active power loss of the photovoltaic power generation network during non-linear load fluctuations;

[0074] Compensate the active power loss according to the compensation relationship to obtain the power loss characteristics of the photovoltaic power generation network during non-linear load fluctuations.

[0075] It should be noted that in this application, the power loss characteristic represents the degree of power loss in the output power of the photovoltaic power generation network during power supply; specifically, in implementation, first, a power loss assessment is performed on the active power characteristic. The active power loss of the photovoltaic power generation network during non-linear load fluctuations can be achieved in the following manner, that is: a mathematical assessment model of power loss is established based on the characteristics of the photovoltaic power generation network. The active power characteristic can be used as the assessment object of this mathematical assessment model. This mathematical assessment model is used to evaluate and quantify the active power loss of the photovoltaic power generation network during non-linear load fluctuations. The evaluation and quantification result of this mathematical assessment model can be used as the active power loss of the photovoltaic power generation network during non-linear load fluctuations. This active power loss represents the actual loss amount of power during power transmission and conversion, usually accompanied by energy consumption; then, the active power loss is compensated for loss according to the compensation relationship. The power loss characteristic of the photovoltaic power generation network during non-linear load fluctuations can be achieved in the following manner, that is: the quantization value of the compensation relationship can be used as the adjustment factor for loss compensation. Thus, the product of the active power loss and this adjustment factor can be used as the power loss characteristic of the photovoltaic power generation network during non-linear load fluctuations.

[0076] In step 103, the stable characteristics of the linear load power in the photovoltaic power generation network are extracted. Based on the stable characteristics and the linear relationship between the supply power and the load demand in the linear load power, the load power in the photovoltaic power generation network is predicted to obtain the load balance value of the photovoltaic power generation network.

[0077] In some embodiments, the extraction of the stable characteristics of the linear load power in the photovoltaic power generation network can be achieved through the following steps:

[0078] Obtain the historical linear load data in the photovoltaic power generation network;

[0079] Use a smoothing processing algorithm to eliminate the noise in the historical linear load data to obtain the stable data of the load power;

[0080] Extract the stable characteristics of the linear load power in the photovoltaic power generation network from the stable data of the load power.

[0081] It should be noted that in this application, the steady-state feature represents the stability degree of the linear load power in the photovoltaic power generation network. Specifically, when implemented, first, the historical linear load data in the photovoltaic power generation network can be obtained in the following way, that is: the linear load records of the photovoltaic power generation network within a specified historical time period (by default, the most recent year) can be collected from the record file of the photovoltaic power generation network, so as to take the set of all linear load records as the historical linear load data in the photovoltaic power generation network. Among them, the historical linear load data represents the linear relationship data between the load power and the supply power in the past period of time. Then, the noise elimination of the historical linear load data can be carried out using a smoothing algorithm to obtain the stable data of the load power, which can be implemented in the following way, that is: a smoothing algorithm (such as: moving average method) can be used to eliminate the noise of the historical linear load data, so that the historical linear load data after noise elimination can be used as the stable data of the load power. The stable data of the load power represents the power data when the load power changes stably. Finally, the steady-state feature of the linear load power in the photovoltaic power generation network can be extracted from the stable data of the load power in the following way, that is: the standard deviation of all load power values in the stable data can be used as the steady-state feature of the linear load power in the photovoltaic power generation network.

[0082] In some embodiments, predicting the load power in the photovoltaic power generation network based on the steady-state feature and the linear relationship between the supply power and the load demand in the linear load power to obtain the load balance value of the photovoltaic power generation network can be implemented by the following steps:

[0083] Extract the linear relationship between the supply power and the load demand in the photovoltaic power generation network from the linear load power;

[0084] Determine the stability degree of the supply and demand of the load in the photovoltaic power generation network through the linear relationship between the supply power and the load demand;

[0085] Determine the load balance value of the photovoltaic power generation network according to the stability degree of the supply and demand and the steady-state feature.

[0086] It should be noted that in this application, the load balance value represents the balance degree between the load demand and the supply power in the photovoltaic power generation network; the linear relationship represents the direct proportional relationship between the load demand and the supply power; the stability degree of the supply and demand represents the stability of the fluctuation between the load demand and the power generation supply.

[0087] In specific implementation, first, to extract the linear relationship between the supply power and the load demand in the photovoltaic power generation network from the linear load power can be achieved in the following way, that is: for each power acquisition process of the linear load power, obtain the demand satisfaction ratio in the power acquisition from the central console of the photovoltaic power generation network, obtain the active power and apparent power collected in the power acquisition. The apparent power can be used as the supply power value in the photovoltaic power generation network, and the ratio of the active power to the demand satisfaction ratio can be used as the load demand value in the photovoltaic power generation network. The ratio of the supply power value to the load demand value can be used as the supply-demand relationship value in the power acquisition. Through the above method, the supply-demand relationship value in each power acquisition of the linear load power can be obtained, and the set of all supply-demand relationship values can be used as the linear relationship between the supply power and the load demand in the photovoltaic power generation network; then, to determine the supply-demand stability of the load in the photovoltaic power generation network through the linear relationship between the supply power and the load demand can be achieved in the following way, that is: the standard deviation of all supply-demand relationship values in the linear relationship between the supply power and the load demand can be used as the supply-demand stability of the load in the photovoltaic power generation network; finally, to determine the load balance value of the photovoltaic power generation network according to the supply-demand stability and the steady state characteristic can be achieved in the following way, that is: the product of the supply-demand stability and the steady state characteristic can be used as the load balance value of the photovoltaic power generation network.

[0088] In step 104, use the power loss characteristic to perform loss compensation on the load balance value to obtain the balance parameter value of the load power in the photovoltaic power generation network, and perform balance adjustment on the output power of the photovoltaic power generation network based on the balance parameter value of the load power.

[0089] In some embodiments, use the power loss characteristic to perform loss compensation on the load balance value to obtain the balance parameter value of the load power in the photovoltaic power generation network, refer to Figure 3 As described, this figure is a schematic flowchart for determining the balance parameter value of the load power in some embodiments of the present application. The balance parameter value of the load power in this embodiment can be achieved by the following steps:

[0090] In step 1041, determine the loss compensation value of the photovoltaic power generation network through the power loss characteristic;

[0091] In step 1042, determine the load balance value of the photovoltaic power generation network according to the loss compensation value and the load balance value;

[0092] In step 1043, determine the balance parameter value of the load power in the photovoltaic power generation network based on the load balance value.

[0093] It should be noted that in this application, the balance parameter value of the load power represents the inverter adjustment parameter value indicating the balance degree between the load power and the supply power in the photovoltaic power generation network; the loss compensation value represents the power amount that needs to be adjusted after the load is matched; and the load balance value represents the optimal power matching value between the load demand and the power generation supply.

[0094] In specific implementation, first, to determine the loss compensation value of the photovoltaic power generation network through the power loss characteristics, the following method can be adopted, that is: initialize a load prediction model based on a long short-term memory network, use the power loss characteristics as the input characteristics in this load prediction model, and use this load prediction model to quantify the influence degree of the load non-linear fluctuation on the load power in the photovoltaic power generation network. The quantization result of this influence degree can be used as the loss compensation value of the photovoltaic power generation network; then, to determine the load balance value of the photovoltaic power generation network according to the loss compensation value and the load balance value, the following method can be adopted, that is: the sum of the loss compensation value and the load balance value can be used as the load balance value of the photovoltaic power generation network; finally, to determine the balance parameter value of the load power in the photovoltaic power generation network based on the load balance value, the following method can be adopted, that is: the inverter adjustment parameter value corresponding to the load balance value in the photovoltaic power generation network can be used as the balance parameter value of the load power in the photovoltaic power generation network.

[0095] In some embodiments, to perform balanced adjustment on the output power of the photovoltaic power generation network based on the balance parameter value of the load power, the following method can be adopted, that is: the feedback control unit in the photovoltaic power generation network can be used to perform real-time adjustment on the output power of the photovoltaic power generation network. For example, when the light condition drops and the photovoltaic power generation weakens, the feedback control unit can ensure the stable output power and avoid too low load by adjusting the output of the inverter or using the energy storage system to release electricity; when the photovoltaic power generation is excessive, the feedback control unit can appropriately increase the charging of the energy storage system or reduce the output power to prevent the power grid from being overloaded, so as to ensure that the load power of the inverter in the photovoltaic power generation network is maintained within the standard range of the balance parameter value of the load power. Among them, the standard range of the balance parameter value of the load power refers to the upper and lower limits of the power output that the inverter in the photovoltaic power generation network can accept on the premise of ensuring the stable operation of the photovoltaic power generation system. The standard range of the balance parameter value of the load power can be obtained from the console of the photovoltaic power generation system. In other embodiments, in order to improve the environmental adaptability of the output power of the photovoltaic power generation network, the output power of this photovoltaic power generation network can also be adjusted in combination with historical experience, which is not limited here.

[0096] In addition, on the other hand of this application, in some embodiments, this application provides a load regulation system for a photovoltaic power generation network. This load regulation system for a photovoltaic power generation network includes a load regulation unit. Refer to Figure 4, which is a schematic structural diagram of a load regulation unit shown according to some embodiments of the present application. The load regulation unit includes: an acquisition module 201, a processing module 202, and an execution module 203, which are described as follows:

[0097] The acquisition module 201. In the present application, the acquisition module 201 is mainly used to collect the load power information in the photovoltaic power generation network when the photovoltaic power generation network supplies power, and then divide the load power information into linear load power and non-linear load power;

[0098] The processing module 202. In the present application, the processing module 202 is used to extract the active power characteristics and reactive power characteristics in the photovoltaic power generation network from the non-linear load power, determine the compensation relationship between the reactive power and the active power in the photovoltaic power generation network through the reactive power characteristics and the target power factor of the photovoltaic power generation network, and then determine the power loss characteristics of the photovoltaic power generation network during the non-linear fluctuation of the load according to the compensation relationship and the active power characteristics;

[0099] It should be noted that the processing module 202 is also used to extract the steady characteristics of the linear load power in the photovoltaic power generation network, and predict the load power in the photovoltaic power generation network according to the steady characteristics and the linear relationship between the supply power and the load demand in the linear load power, so as to obtain the load balance value of the photovoltaic power generation network;

[0100] The execution module 203. In the present application, the execution module 203 is mainly used to use the power loss characteristics to compensate the load balance value for loss, obtain the balance parameter value of the load power in the photovoltaic power generation network, and perform balance adjustment on the output power of the photovoltaic power generation network based on the balance parameter value of the load power.

[0101] The above text has introduced in detail the examples of the load regulation system and method for a photovoltaic power generation network provided by the embodiments of the present application. It can be understood that, in order to implement the above functions, the corresponding device includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, combining the units and algorithm steps of each example described in the embodiments disclosed in this article, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0102] In some embodiments, the present application further provides a computer device, which includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the load regulation method of the photovoltaic power generation network described above.

[0103] In some embodiments, referring to Figure 5 , the dashed line in this figure indicates that the unit or module is optional. This figure is a schematic structural diagram of a computer device for implementing the load regulation method of the photovoltaic power generation network according to an embodiment of the present application. The load regulation method of the photovoltaic power generation network described in the above embodiments can be implemented by Figure 5 the computer device shown. The computer device includes at least one processor 301, a memory 302, and at least one communication unit 305. The computer device can be a terminal device, a server, or a chip.

[0104] The processor 301 can be a general-purpose processor or a special-purpose processor. For example, the processor 301 can be a central processing unit (CPU). The CPU can be used to control the computer device, execute software programs, and process data of software programs. The computer device can also include a communication unit 305 for realizing signal input (reception) and output (transmission).

[0105] For example, the computer device can be a chip, and the communication unit 305 can be the input and / or output circuit of the chip, or the communication unit 305 can be the communication interface of the chip. The chip can be a component of a terminal device, a network device, or other devices.

[0106] Again, for example, the computer device can be a terminal device or a server, and the communication unit 305 can be the transceiver of the terminal device or the server, or the communication unit 305 can be the transceiver circuit of the terminal device or the server.

[0107] The computer device may include one or more memories 302, on which there is a program 304. The program 304 can be run by the processor 301 to generate an instruction 303, so that the processor 301 executes the method described in the above method embodiments according to the instruction 303. Optionally, data (such as a target audit model) can also be stored in the memory 302. Optionally, the processor 301 can also read the data stored in the memory 302. The data can be stored at the same storage address as the program 304, or the data can be stored at a different storage address from the program 304.

[0108] The processor 301 and the memory 302 can be set separately or integrated together. For example, they can be integrated on a system on chip (SOC) of a terminal device.

[0109] It should be understood that each step of the above method embodiments can be completed by a logic circuit in hardware form or an instruction in software form in the processor 301. The processor 301 can be a CPU, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices. For example, discrete gates, transistor logic devices, or discrete hardware components.

[0110] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0111] For example, in some embodiments, the present application also provides a computer-readable storage medium, in which instructions or code are stored. When the instructions or code run on a computer, the computer is caused to execute the above-mentioned load regulation method of the photovoltaic power generation network.

[0112] Although the preferred embodiments of the present application have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications falling within the scope of the present application.

[0113] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A method for regulating the load of a photovoltaic power generation network, characterized in that, It includes the following steps: When the photovoltaic power generation network supplies power, collect the load power information in the photovoltaic power generation network, and then divide the load power information into linear load power and non-linear load power; Extract the active power characteristics and reactive power characteristics in the photovoltaic power generation network from the non-linear load power, determine the compensation relationship between the reactive power and the active power in the photovoltaic power generation network through the reactive power characteristics and the target power factor of the photovoltaic power generation network, and then determine the power loss characteristics of the photovoltaic power generation network during non-linear load fluctuations based on the compensation relationship and the active power characteristics; Extract the steady characteristics of the linear load power in the photovoltaic power generation network, and predict the load power in the photovoltaic power generation network based on the steady characteristics and the linear relationship between the supply power and the load demand in the linear load power to obtain the load balance value of the photovoltaic power generation network, where the steady characteristics represent the stability degree of the linear load power in the photovoltaic power generation network; Use the power loss characteristics to compensate the load balance value to obtain the balance parameter value of the load power in the photovoltaic power generation network, and perform balance adjustment on the output power of the photovoltaic power generation network based on the balance parameter value of the load power; Among them, predicting the load power in the photovoltaic power generation network based on the steady characteristics and the linear relationship between the supply power and the load demand in the linear load power to obtain the load balance value of the photovoltaic power generation network specifically includes: Extract the linear relationship between the supply power and the load demand in the photovoltaic power generation network from the linear load power; Determine the supply-demand stability of the load in the photovoltaic power generation network through the linear relationship between the supply power and the load demand; Determine the load balance value of the photovoltaic power generation network according to the supply-demand stability and the steady characteristics.

2. The method according to claim 1, characterized in that Dividing the load power information into linear load power and non-linear load power specifically includes: Divide the power supply of the photovoltaic power generation network into multiple load stages; Calculate the power factor of each load stage through the load power information; Take all load stages with a power factor greater than or equal to the preset linear threshold as linear load stages, and then determine the linear load power through the power in each linear load stage; Take the power in the load stage with a power factor less than the preset linear threshold as the non-linear load stage, and then determine the non-linear load power through the power in each non-linear load stage.

3. The method according to claim 1, wherein Extracting the active power characteristics and reactive power characteristics in the photovoltaic power generation network from the non-linear load power specifically includes: For each non-linear load stage, obtain all the power in the non-linear load stage from the non-linear load power; Use the harmonic analysis model to divide all the power into the active power and reactive power in the non-linear load stage, and then obtain the active power and reactive power in each non-linear load stage; Determine the active power characteristics in the photovoltaic power generation network through all the active power, and determine the reactive power characteristics in the photovoltaic power generation network through all the reactive power.

4. The method according to claim 1, wherein Determining the compensation relationship between reactive power and active power in the photovoltaic power generation network based on the reactive power characteristics and the target power factor of the photovoltaic power generation network specifically includes: Obtaining the phase angle of the current load and the phase angle of the target power factor in the photovoltaic power generation network; Determining the compensation factor of the photovoltaic power generation network according to the phase angle of the current load and the phase angle of the target power factor; Determining the compensation relationship between reactive power and active power in the photovoltaic power generation network through the compensation factor and the reactive power characteristics.

5. The method according to claim 1, wherein Determining the power loss characteristics of the photovoltaic power generation network during non-linear load fluctuations based on the compensation relationship and the active power characteristics specifically includes: Conducting a power loss assessment on the active power characteristics to obtain the active power loss of the photovoltaic power generation network during non-linear load fluctuations; Performing loss compensation on the active power loss according to the compensation relationship to obtain the power loss characteristics of the photovoltaic power generation network during non-linear load fluctuations.

6. The method according to claim 1, wherein Extracting the steady characteristics of the linear load power in the photovoltaic power generation network specifically includes: Obtaining the historical linear load data in the photovoltaic power generation network; Using a smoothing processing algorithm to eliminate noise from the historical linear load data to obtain stable data of the load power; Extracting the steady characteristics of the linear load power in the photovoltaic power generation network from the stable data of the load power.

7. The method according to claim 1, wherein The load power includes reactive power and active power in the photovoltaic power generation network.

8. A load regulation system for a photovoltaic power generation network, the load regulation system of the photovoltaic power generation network includes a load regulation unit, which uses the method described in any one of claims 1 to 7 to regulate the load of the photovoltaic power generation network, characterized in that, The load regulation unit includes: A collection module, configured to collect the load power information in the photovoltaic power generation network when the photovoltaic power generation network supplies power, and then divide the load power information into linear load power and non-linear load power; A processing module, configured to extract the active power characteristics and reactive power characteristics in the photovoltaic power generation network from the non-linear load power, determine the compensation relationship between reactive power and active power in the photovoltaic power generation network through the reactive power characteristics and the target power factor of the photovoltaic power generation network, and then determine the power loss characteristics of the photovoltaic power generation network during non-linear load fluctuations based on the compensation relationship and the active power characteristics; The processing module is further configured to extract the steady characteristics of the linear load power in the photovoltaic power generation network, predict the load power in the photovoltaic power generation network based on the steady characteristics and the linear relationship between the supplied power and the load demand in the linear load power to obtain the load balance value of the photovoltaic power generation network; An execution module, configured to perform loss compensation on the load balance value using the power loss characteristics to obtain the balance parameter value of the load power in the photovoltaic power generation network, and perform an equalization adjustment on the output power of the photovoltaic power generation network based on the balance parameter value of the load power.

9. A computer device, characterized in that, The computer device includes a memory and a processor. The memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that the computer device executes the load regulation method of the photovoltaic power generation network according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Instructions or codes are stored in the computer-readable storage medium. When the instructions or codes are run on a computer, the computer is caused to execute the load regulation method of the photovoltaic power generation network according to any one of claims 1 to 7.

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