Household photovoltaic power generation system and energy storage method thereof

Abstract

The invention discloses a household photovoltaic power generation system and an energy storage method thereof, and relates to the technical field of photovoltaic power generation systems, the household photovoltaic power generation system comprises a management and control division unit, a power utilization parameter analysis unit, a power regulation unit, an energy storage pre-storage unit and a parameter identification unit; according to the method, household equipment power consumption and photovoltaic module power generation are analyzed to obtain a household internal equipment power consumption analysis result and the actual power generation amount of the photovoltaic module, working scene delimitation is performed according to the household equipment power consumption analysis result, and an energy-saving scheduling system is established through the three working scenes. According to an energy-saving dispatching system, power supply of household equipment is automatically dispatched, the purpose of saving energy in the power supply process is achieved, an energy storage signal in the power generation process of the photovoltaic module is obtained by analyzing and comparing the actual power generation amount of the photovoltaic module and the power consumption amount of the household equipment, and reasonable energy storage of the electric quantity is conducted through the energy storage signal.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation systems, and particularly to a household photovoltaic power generation system and its energy storage method. Background Art

[0002] A household photovoltaic power generation system refers to a power generation system that converts solar energy into electrical energy. The power generation system is gradually becoming an important part of household energy supply, and is used by households or small commercial users. Advanced energy storage devices such as lithium-ion batteries, lead-acid batteries or flow batteries are equipped in the photovoltaic power generation field. When the photovoltaic power generation is greater than the demand, the excess electrical energy is stored. When selecting an energy storage method for a household photovoltaic power generation system, factors such as cost, energy storage capacity, charge and discharge efficiency, lifespan, and safety need to be comprehensively considered.

[0003] However, in the prior art, photovoltaic power generation is greatly affected by natural factors such as weather and light intensity, and the power generation power fluctuates under different conditions, making it difficult to continuously provide a stable power output, bringing great uncertainty to user power consumption, affecting the daily power consumption stability of households or small users, and may cause unstable operation of equipment. Users cannot accurately understand the energy output and consumption of the photovoltaic power generation system in different scenarios, and it is difficult to perform reasonable energy management and optimization.

[0004] In view of the above technical defects, a solution is proposed. Summary of the Invention

[0005] The purpose of the present invention is to rationally schedule household electricity consumption according to the actual power generation of photovoltaic modules, and achieve stable power supply during power consumption by rationally scheduling and distributing power consumption, while switching different power supply working modes to control the energy saving of the stored energy.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions: A household photovoltaic power generation system includes a control and division unit, a parameter analysis unit, a power regulation unit, an energy storage pre-storage unit, and a parameter identification unit.

[0007] The control and division unit is used to obtain the electrical energy generated by the photovoltaic modules, and divide the electrical energy into internal device power consumption and external photovoltaic power consumption for management according to household internal power consumption and photovoltaic power consumption.

[0008] The parameter analysis unit includes an internal parameter analysis module and an external parameter analysis module.

[0009] The internal parameter analysis module is used to obtain the historical power consumption parameters of household internal devices, analyze the power consumption parameters according to the historical power consumption parameters, generate a set of household internal device power consumption arrangements for different time periods, and analyze the power consumption through the power consumption arrangement set to obtain the total power consumption of household internal devices.

[0010] The external parameter module obtains external environmental parameters, judges the weather of the day according to the external environmental parameters, calculates the theoretical power generation of the photovoltaic module in a day through the rated power of the photovoltaic module and the local sunshine time, obtains the actual power generation of the photovoltaic module through the monitoring device, conducts comprehensive analysis based on the actual power generation and the theoretical power generation of the photovoltaic module to obtain the external influence coefficient, estimates the power generation of the photovoltaic module through the external influence coefficient to obtain the estimated power generation of the photovoltaic module, and sends it to the energy storage pre-storage unit;

[0011] The power regulation unit obtains the total power consumption of household internal devices, delimits the working scenarios according to the high and low power consumption in different time periods, delimits them into long working scenarios, medium working scenarios and short working scenarios, establishes an energy-saving scheduling system through the three working scenarios, divides the energy-saving scheduling system into first-level scheduling, second-level scheduling and third-level scheduling according to the power distribution, and sends it to the parameter identification unit;

[0012] The energy storage pre-storage unit is used to obtain the electric energy generated by the photovoltaic module and store it through the energy storage device, establish an energy feedback mechanism according to the estimated power generation of the photovoltaic module, conduct comparative analysis through the total power consumption of household internal devices and the estimated power generation of the photovoltaic module, generate a power consumption comparison analysis result, and conduct energy storage judgment according to the comparison analysis result and the preset comparison conditions to obtain the judgment result of whether to conduct energy storage during photovoltaic power generation;

[0013] The parameter identification unit obtains the total power consumption of the current household internal devices and the power consumption time, judges the current power consumption state according to the total power consumption and the power consumption time, generates an analysis result of the working scenario of the current power consumption, and automatically switches the energy-saving scheduling system according to the analysis result of the working scenario.

[0014] Furthermore, the specific process of analyzing the power consumption through the power consumption arrangement set is as follows:

[0015] S100: Mark each device according to the power consumption arrangement set, arrange each device according to the high and low power consumption to obtain the marked power consumption arrangement set;

[0016] S101: Classify the household internal devices, and set power consumption level labels of must-use electricity, available electricity, and standby electricity to classify and mark the household internal devices;

[0017] S102: Obtain the power consumption of each device, and then obtain the power consumption of each type of must-use electricity device, available electricity device, and standby electricity device.

[0018] Furthermore, the specific process of delimiting the long working scenario, medium working scenario and short working scenario according to the working scenario is as follows:

[0019] S200: Obtain historical electricity consumption parameters, analyze the electricity consumption situation based on the historical electricity consumption parameters, and analyze the low-end points and high-end points of electricity consumption during the electricity consumption process;

[0020] S201: According to the low-end point and high-end point of electricity consumption, intercept the range of electricity consumption time periods, and divide them by time period and electricity consumption;

[0021] S202: Set the conditions of the working scenario according to the electricity consumption time and electricity consumption parameters. Preset the long working scenario as the peak time period, the medium working scenario as the low peak time period, and the energy storage device discharging as the short working scenario.

[0022] Furthermore, the specific process of the energy-saving dispatching system for the first-level dispatching, second-level dispatching, and third-level dispatching according to electricity consumption distribution is as follows:

[0023] S300: When the electricity consumption demand is in the long working scenario, the electric energy of the photovoltaic module is preferentially supplied to the household equipment that must use electricity, can use electricity, and is waiting to use electricity;

[0024] S301: When the electricity consumption demand is in the medium working scenario, the electric energy of the photovoltaic module is supplied to the equipment that must use electricity and can use electricity for power supply;

[0025] S302: When the electricity consumption is in the short working scenario, set the third-level dispatching, and supply the electric energy in the energy storage device to the equipment that must use electricity for power supply;

[0026] S303: Through the statistics of the electricity consumption of the internal household equipment and the comprehensive evaluation of the power supply duration according to the power of the energy storage device, the power supply period during the energy storage process is obtained.

[0027] A method for energy storage of a household photovoltaic power generation system. When supplying power to the equipment that must use electricity, can use electricity, and is waiting to use electricity in the above step S300, a priority power supply method is adopted for use:

[0028] Obtain the energy storage capacity of the energy storage device, set the reminder threshold and warning threshold according to the energy storage capacity. When the energy storage power is greater than the reminder threshold power, the equipment in the working scenario is normally powered;

[0029] When the energy storage power is between the reminder power and the warning threshold, the power supply to the household equipment waiting to use electricity is stopped;

[0030] When the energy storage power is less than the warning threshold power, a power exhaustion reminder signal is generated and sent to the energy storage device.

[0031] Furthermore, the specific process of judging the current electricity consumption state according to the electricity consumption parameters and generating the analysis result of the current working scenario is as follows:

[0032] S400: Obtain the real-time power consumption generated by the current household devices, and conduct a comparative analysis based on the real-time power consumption and the power consumption of the set working scenarios;

[0033] S401: Search for the power consumption time of the set working scenarios according to the power consumption time of the current household devices, and obtain the corresponding search results;

[0034] S402: Conduct a comprehensive analysis by integrating the power consumption time and power consumption of the current household devices to obtain the corresponding working scenario analysis results. Let the total matching degree be P. For the given power consumption parameter set E, which includes multiple power consumption characteristic parameters, the power time distribution characteristics, and the power consumption classification set B to be matched, calculate the matching degree for each power consumption characteristic parameter: P1 is the calculation result of the power consumption matching degree, E I The power consumption in the i-th time period, E J The typical power consumption characteristic value of the j-th working mode;

[0035] P2 is the calculation result of the power time matching degree, S I Is the time length of the i-th time period, S J Is the typical power time characteristic value of a working scenario;

[0036] Comprehensive matching degree: P = P1 + P2.

[0037] Furthermore, it includes the following steps:

[0038] Step 1: When the photovoltaic module generates electricity, obtain the power generation amount of the photovoltaic power generation system, the power of the energy storage device, and the household power consumption through the energy storage device;

[0039] Step 2: Obtain the household power consumption for current power consumption calculation and analysis, conduct a comparative analysis based on the current power consumption and the photovoltaic power generation amount, and generate the power consumption parameter analysis results;

[0040] Step 3: Judge whether the energy storage device needs to store energy through the power consumption parameter analysis results, and obtain the energy storage demand signal of the energy storage device;

[0041] Step 4: Obtain the energy storage demand signal of the energy storage device, and output it to the energy storage device end according to the selected corresponding power supply method.

[0042] Furthermore, the specific process of judging whether the energy storage device needs to store energy through the power consumption parameter analysis results is as follows:

[0043] Analyze according to the obtained real-time household power consumption:

[0044] When it is determined that the photovoltaic power generation is greater than the household power consumption and the energy storage device is not fully charged, an energy storage signal is generated, and the excess photovoltaic power generation is stored in the energy storage device;

[0045] When it is determined that the photovoltaic power generation is less than the household power consumption and the energy storage device has power, a power generation and power supply signal is generated, and the energy storage device and the photovoltaic power generation system are automatically switched to jointly supply power for the household power consumption;

[0046] When it is determined that the photovoltaic power generation is zero and the household power consumption is supplied by the energy storage device, a power grid power supply signal is generated, the household power consumption demands are classified according to the preset priority, the power supply for important power consumption is preferentially guaranteed, and the power of non-important power consumption is reduced or the non-important power consumption is temporarily turned off.

[0047] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0048] The household photovoltaic power generation system and its energy storage method analyze the household equipment power consumption and the photovoltaic module power generation to obtain the analysis result of the household internal equipment power consumption and the actual power generation of the photovoltaic module. The working scenarios are delimited according to the analysis result of the household equipment power consumption, and an energy-saving scheduling system is established through three working scenarios. The power supply for household equipment is automatically scheduled according to the energy-saving scheduling system to achieve the energy-saving purpose during the power supply process. The energy storage signal during the photovoltaic power generation is obtained by analyzing and comparing the actual power generation of the photovoltaic module with the household equipment power consumption, and reasonable energy storage is carried out through the energy storage signal. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 Shows the schematic diagram of the system flow structure of the present invention;

[0050] Figure 2 Shows the schematic diagram of the method flow structure of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0052] Embodiment 1:

[0053] As Figure 1 shown, a household photovoltaic power generation system includes a control and division unit, a parameter analysis unit, a power regulation unit, an energy storage pre-storage unit, and a parameter identification unit;

[0054] A control division unit for obtaining the electric energy generated by a photovoltaic module and dividing the electric energy into internal device power consumption and external photovoltaic power consumption for management according to the internal household power consumption and photovoltaic power consumption;

[0055] A parameter analysis unit, including an internal parameter analysis module and an external parameter analysis module;

[0056] The internal parameter analysis module is used to obtain the historical power consumption parameters of the household internal devices, analyze the power consumption parameters according to the historical power consumption parameters, generate an arrangement set of the power consumption of the household internal devices in different time periods, analyze the power consumption through the arrangement set of the power consumption, and obtain the total power consumption of the household internal devices;

[0057] The external parameter module obtains external environmental parameters, judges the weather of the day according to the external environmental parameters, calculates the theoretical power generation of the photovoltaic module in a day through the rated power of the photovoltaic module and the local sunshine time, obtains the actual power generation of the photovoltaic module through a monitoring device, conducts comprehensive analysis according to the actual power generation and the theoretical power generation of the photovoltaic module to obtain an external influence coefficient, estimates the power generation of the photovoltaic module through the external influence coefficient to obtain the estimated power generation of the photovoltaic module, and sends it to the energy storage pre-storage unit;

[0058] A power regulation unit obtains the total power consumption of the household internal devices, delimits the working scenarios through the high and low power consumption in different time periods, delimits them as long working scenarios, medium working scenarios and short working scenarios, establishes an energy-saving scheduling system through the three working scenarios, divides the energy-saving scheduling system into first-level scheduling, second-level scheduling and third-level scheduling according to the power distribution, and sends it to the parameter identification unit;

[0059] An energy storage pre-storage unit is used to store the electric energy generated by the photovoltaic module through an energy storage device, establish an energy feedback mechanism according to the estimated power generation of the photovoltaic module, conduct comparative analysis through the total power consumption of the household internal devices and the estimated power generation of the photovoltaic module to generate a power consumption comparison analysis result, and conduct energy storage judgment according to the comparison analysis result and the preset comparison conditions to obtain a judgment result on whether to conduct energy storage during photovoltaic power generation;

[0060] A parameter identification unit obtains the current total power consumption of the household internal devices and the power consumption time, judges the current power consumption state according to the total power consumption and the power consumption time, generates an analysis result of the working scenario of the current power consumption, and automatically switches the energy-saving scheduling system according to the analysis result of the working scenario.

[0061] The specific process of analyzing the power consumption through the arrangement set of the power consumption is as follows:

[0062] S100: Mark each device according to the arrangement set of the power consumption, arrange each device according to the high and low power consumption, and obtain the marked arrangement set of the power consumption;

[0063] S101: Classify the household internal devices, and set power consumption level labels of "must-use electricity", "available-for-use electricity", and "pending-for-use electricity" to classify and label the household internal devices;

[0064] S102: Obtain the power consumption of each device, and then obtain the power consumption of each type of device, namely, the devices that must use electricity, the devices that can use electricity, and the devices that are pending for use.

[0065] The specific process of classifying into long working scenarios, medium working scenarios, and short working scenarios according to the working scenarios is as follows:

[0066] S200: Obtain the historical power consumption parameters, analyze the power consumption situation according to the historical power consumption parameters, and analyze the low power consumption points and high power consumption points during the power consumption process;

[0067] S201: According to the low power consumption points and high power consumption points, intercept the power consumption time period range, and divide it through the time period and the power consumption;

[0068] S202: Set the conditions of the working scenario according to the power consumption time and the power consumption parameters. Preset the long working scenario as the peak time period, the medium working scenario as the low peak time period, and the short working scenario as the energy storage device discharging.

[0069] The specific process of the energy-saving dispatching system being divided into first-level dispatching, second-level dispatching, and third-level dispatching according to the power consumption distribution is as follows:

[0070] S300: When the power consumption demand is in the long working scenario, give priority to supplying the electric energy of the photovoltaic module to the household devices that must use electricity, can use electricity, and are pending for use;

[0071] S301: When the power consumption demand is in the medium working scenario, supply the electric energy of the photovoltaic module to the devices that must use electricity and can use electricity;

[0072] S302: When the power consumption is in the short working scenario, set the third-level dispatching, and supply the electric energy in the energy storage device to the devices that must use electricity;

[0073] S303: Through the statistics of the power consumption of the household internal devices and the comprehensive evaluation of the power supply duration according to the power of the energy storage device, obtain the power supply time period during the energy storage process.

[0074] When supplying power to the devices that must use electricity, can use electricity, and are pending for use in the above step S300, the priority power supply method is adopted for use:

[0075] Obtain the energy storage capacity of the energy storage device, set the reminder threshold and warning threshold according to the energy storage capacity. When the stored energy is greater than the reminder threshold power, then supply power to the devices in the working scenario normally;

[0076] When the energy storage power is between the reminder power and the warning threshold, power supply to the household electrical appliances of the household to be powered is stopped;

[0077] When the energy storage power is less than the warning threshold power, a power exhaustion reminder signal is generated and sent to the energy storage device.

[0078] The current power consumption state is judged according to the power consumption parameters, and the specific process of generating the current working scenario analysis result is as follows:

[0079] S400: Obtain the real-time power consumption generated by the current household electrical appliances, and conduct a comparative analysis based on the real-time power consumption and the power consumption of the set working scenario;

[0080] S401: Search for the power consumption time set in the working scenario according to the power consumption time of the current household electrical appliances, and obtain the corresponding search result;

[0081] S402: Conduct a comprehensive analysis of the power consumption time and power consumption of the current household electrical appliances to obtain the corresponding working scenario analysis result. Let the total matching degree be P. For the given power consumption parameter set E, which includes multiple power consumption characteristic parameters, the power time distribution characteristic, and the power consumption classification set B to be matched, the matching degree is calculated for each power consumption characteristic parameter: P1 is the calculation result of the power consumption matching degree, E I The power consumption in the i-th time period, E J The typical power consumption characteristic value of the j-th working mode;

[0082] P2 is the calculation result of the power consumption time matching degree, S I is the time length of the i-th time period, S J is the typical power consumption time characteristic value of a working scenario;

[0083] Comprehensive matching degree: P = P1 + P2.

[0084] Embodiment 2:

[0085] As Figure 2 shown, a method for energy storage of a household photovoltaic power generation system includes the following steps:

[0086] Step 1: When the photovoltaic module generates electricity, obtain the power generation amount of the photovoltaic power generation system, the power of the energy storage device, and the household power consumption through the energy storage device;

[0087] Step 2: Obtain the household power consumption for current power consumption calculation and analysis, conduct a comparative analysis based on the current power consumption and the photovoltaic power generation amount, and generate a power consumption parameter analysis result;

[0088] Step 3: Judge whether the energy storage device needs to store energy through the power consumption parameter analysis result, and obtain the energy storage demand signal of the energy storage device;

[0089] Step 4: Obtain the energy storage demand signal of the energy storage device and output it to the energy storage device end according to the corresponding power supply mode selected.

[0090] The specific process of judging whether the energy storage device needs to store energy through the power consumption parameter analysis results is as follows:

[0091] Analysis based on the real-time household electricity consumption:

[0092] When it is determined that the photovoltaic power generation is greater than the household power consumption and the energy storage device is not fully charged, an energy storage signal is generated to store the excess photovoltaic power generation in the energy storage device;

[0093] When it is determined that the photovoltaic power generation is less than the household power consumption and the energy storage device has power, a power generation signal is generated, and the energy storage device and the photovoltaic power generation system are automatically switched to jointly supply power for household power consumption;

[0094] When it is determined that the photovoltaic power generation is zero and the household electricity consumption is powered by the energy storage device, a grid power supply signal is generated, and the household electricity demand is classified according to the preset priority, giving priority to the power supply of important electricity, and reducing the power of non-important electricity or temporarily shutting down non-important electricity.

[0095] The household photovoltaic power generation system and energy storage method of the present invention analyze the power consumption of household equipment and the power generation of photovoltaic components to obtain the analysis results of the power consumption of household internal equipment and the actual power generation of photovoltaic components, define work scenarios based on the analysis results of the power consumption of household equipment, establish an energy-saving scheduling system through three work scenarios, and automatically schedule the power supply of household equipment according to the energy-saving scheduling system to achieve the purpose of energy saving in the power supply process, analyze and compare the actual power generation of photovoltaic components with the power consumption of household equipment, obtain the energy storage signal in the photovoltaic power generation process, and reasonably store energy through the energy storage signal.

[0096] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technical personnel in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0097] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0098] In the two embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways; for example, the device embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the device or module can be in electrical, mechanical or other forms;

[0099] As mentioned above, the above is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent replacements or changes, and should be covered by the protection scope of the present invention.

Claims

1. A household photovoltaic power generation system, characterized in that: It includes a control division unit, a parameter analysis unit, a power regulation unit, an energy storage pre-storage unit, and a parameter identification unit; The control and division unit is used to obtain the electric energy generated by the photovoltaic components and divide the electric energy into internal equipment electricity and external photovoltaic electricity for management according to the household internal electricity and photovoltaic electricity; A parameter analysis unit, including an internal parameter analysis module and an external parameter analysis module; The internal parameter analysis module is used to obtain historical power consumption parameters of household internal equipment, perform power consumption parameter analysis based on the historical power consumption parameters, generate power consumption permutation sets of household internal equipment in different time periods, and analyze the power consumption through the power consumption permutation sets to obtain the total power consumption of household internal equipment; The external parameter module obtains external environmental parameters, determines the weather of the day based on the external environmental parameters, calculates the theoretical power generation of the photovoltaic module in a day through the rated power of the photovoltaic module and the local sunshine time, obtains the actual power generation of the photovoltaic module through the monitoring equipment, performs a comprehensive analysis based on the actual power generation of the photovoltaic module and the theoretical power generation, obtains the external influence coefficient, estimates the power generation of the photovoltaic module through the external influence coefficient, obtains the estimated power generation of the photovoltaic module, and sends it to the energy storage pre-storage unit; The power regulation unit obtains the total power consumption of household devices, and divides the working scenes into long working scenes, medium working scenes and short working scenes according to the power consumption in different time periods. The energy-saving scheduling system is established through the three working scenes, and the energy-saving scheduling system is divided into primary scheduling, secondary scheduling and tertiary scheduling according to the power distribution, and sent to the parameter identification unit; The energy storage pre-storage unit is used to obtain the electric energy generated by the photovoltaic module and store it through the energy storage device, and establish an energy feedback mechanism according to the estimated power generation of the photovoltaic module, compare and analyze the total power consumption of the household internal equipment with the estimated power generation of the photovoltaic module, generate the power comparison analysis result, and make an energy storage judgment based on the comparison analysis result and the preset comparison conditions to obtain the judgment result of whether to store energy during photovoltaic power generation; The parameter identification unit obtains the total power consumption and power consumption time of the current household equipment, determines the current power consumption status based on the total power consumption and power consumption time, generates the current power consumption work scenario analysis results, and automatically switches the energy-saving scheduling system based on the work scenario analysis results.

2. The household photovoltaic power generation system according to claim 1, characterized in that: The specific process of analyzing power consumption through power consumption arrangement sets is as follows: S100: Mark each device according to the power consumption arrangement set, and arrange each device according to the power consumption to obtain a marked power consumption arrangement set; S101: Classify the household devices and set power usage level labels such as required power, available power, and standby power to classify and mark the household devices; S102: Obtain the power consumption of each device, and then obtain the power consumption of each type of necessary power-consuming devices, available power-consuming devices, and waiting power-consuming devices.

3. The household photovoltaic power generation system according to claim 1, characterized in that: The specific process of classifying work scenes into long work scenes, medium work scenes and short work scenes is as follows: S200: Obtain historical power consumption parameters, analyze the power consumption situation according to the historical power consumption parameters, and analyze the low power consumption point and the high power consumption point in the power consumption process; S201: intercepting the power consumption time period range according to the low power consumption point and the high power consumption point, and dividing the time period by the power consumption; S202: Setting working scene conditions according to power usage time and power usage parameters, presetting a long working scene as a peak time period, a low-peak time period as a medium working scene, and a short working scene as a discharge of energy storage equipment.

4. The household photovoltaic power generation system according to claim 1, characterized in that: The energy-saving dispatching system is divided into primary dispatching, secondary dispatching and tertiary dispatching according to the power distribution. The specific process is as follows: S300: When the power demand is in a long working scenario, the power of the photovoltaic components is preferentially supplied to household devices that must use electricity, can use electricity, or are waiting to use electricity; S301: When the power demand is in a medium working scenario, the power of the photovoltaic module is supplied to the power-needing and power-available devices for power supply; S302: When the power consumption is in a short working scenario, a three-level scheduling is set to supply the power in the energy storage device to the necessary power consumption equipment for power supply; S303: By counting the power consumption of internal devices and comprehensively evaluating the power supply duration according to the power consumption of the energy storage device, the power supply period in the energy storage process is obtained.

5. The household photovoltaic power generation system according to claim 1, characterized in that: In the above step S300, when power is supplied to the necessary power-consuming equipment, the available power-consuming equipment, and the waiting power-consuming equipment, a priority power supply mode is used: Obtain the energy storage capacity of the energy storage device, set the reminder threshold and warning threshold according to the energy storage capacity, and when the energy storage capacity is greater than the reminder threshold, supply power to the household devices in the working scene. When the energy storage capacity is between the reminder capacity and the warning threshold, the power supply to the household equipment to be powered is stopped; When the energy storage capacity is less than the warning threshold capacity, a power exhaustion reminder signal is generated and sent to the energy storage device.

6. The household photovoltaic power generation system according to claim 1, characterized in that: The specific process of judging the current power consumption status based on the power consumption parameters and generating the current working scenario analysis results is as follows: S400: obtaining the real-time power consumption generated by the current power-consuming household devices, and performing comparative analysis based on the real-time power consumption and the power consumption of the set working scenario; S401: searching for the power consumption time set for the working scenario according to the power consumption time of the current household equipment, and obtaining the corresponding search result; S402: Comprehensively analyze the current household equipment power consumption time and power consumption to obtain the corresponding work scenario analysis results. Assume that the total matching degree is P. For a given power consumption parameter set E, including multiple power consumption characteristic parameters, power time distribution characteristics and a power consumption classification set B to be matched, the matching degree is calculated for each power consumption characteristic parameter: P1 is the calculation result of power consumption matching, E I The electricity consumption in the i-th time period, E J Typical power consumption characteristic value of the jth working mode; P2 is the calculation result of the power consumption time matching degree, S I is the length of the i-th time period, S J is the typical power consumption time characteristic value of a working scenario; Comprehensive matching degree: P=P1+P2.

7. The energy storage method of household photovoltaic power generation system according to claim 1, characterized in that: The following steps are involved: Step 1: When the photovoltaic module is generating electricity, the power generation of the photovoltaic power generation system, the power of the energy storage device and the household power consumption are obtained through the energy storage device; Step 2: Obtain household electricity consumption to calculate and analyze the current electricity consumption, compare and analyze the current electricity consumption with photovoltaic power generation, and generate electricity consumption parameter analysis results; Step 3: Determine whether the energy storage device needs to store energy based on the power consumption parameter analysis results, and obtain the energy storage demand signal of the energy storage device; Step 4: Obtain the energy storage demand signal of the energy storage device and output it to the energy storage device end according to the corresponding power supply mode selected.

8. The energy storage method of household photovoltaic power generation system according to claim 1, characterized in that: The specific process of judging whether the energy storage device needs to store energy through the power consumption parameter analysis results is as follows: Analysis based on the real-time household electricity consumption: When it is determined that the photovoltaic power generation is greater than the household power consumption and the energy storage device is not fully charged, an energy storage signal is generated to store the excess photovoltaic power generation in the energy storage device; When it is determined that the photovoltaic power generation is less than the household power consumption and the energy storage device has power, a power generation signal is generated, and the energy storage device and the photovoltaic power generation system are automatically switched to jointly supply power for household power consumption; When it is determined that the photovoltaic power generation is zero and the household electricity consumption is powered by the energy storage device, a grid power supply signal is generated, and the household electricity demand is classified according to the preset priority, giving priority to the power supply of important electricity, and reducing the power of non-important electricity or temporarily shutting down non-important electricity.

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