Distributed photovoltaic power station intelligent control method and system

Abstract

The invention discloses a distributed photovoltaic power station intelligent control method and system, and the method comprises the steps: summarizing the power consumption of a load used by a user, and calculating the daily power consumption standard of the user; predicting a predicted electric energy standard which can be converted by the photovoltaic power station in a fixed time period; calculating residual electric energy data after the power utilization standard is deducted from the obtained electric energy data; when the fixed time period is reached, the power grid energy storage unit is controlled to store the predicted residual electric energy in advance, and the electric energy corresponding to the power utilization standard is stored through the standby energy storage unit; according to the invention, the standby energy storage unit supplies power to the user load, and the electric energy in the power grid energy storage unit is transmitted to the Internet at a preset moment; according to the invention, by setting the two storage units, the use convenience of a user is improved; the use experience of the user is enhanced by predicting the future electricity obtaining quantity and the electricity consumption of the user, and the network access without waste of the residual electric energy is ensured; the reliability and flexibility of power utilization are realized by setting the power utilization standard of a user and establishing connection between the two storage units.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power plants, and more specifically to an intelligent control method and system for distributed photovoltaic power plants. Background Art

[0002] Photovoltaic power generation has been gradually promoted and used in society for its advantages such as cleanliness, convenience, and sustainable development. The Chinese government has also vigorously guided, encouraged, and supported the development of the photovoltaic power station industry. Distributed photovoltaic power stations are noiseless during the power generation process, and will not pollute the air and water, which can alleviate the local power shortage to a certain extent; distributed photovoltaic power stations are most efficient in converting electrical energy during the day when the sun is shining, and it happens that people have the greatest demand for electricity during this period. Distributed photovoltaic power stations usually refer to power generation systems that use decentralized resources, have a smaller installed capacity, and are arranged near users. They are generally connected to power grids with voltage levels below 35 kV or lower;

[0003] In the existing technology, the electricity generated is used, stored and uploaded at the same time, which means that at night, only electricity transmitted by the power grid can be purchased. The system wiring is complicated and the convenience of photovoltaic power generation in providing electricity to user loads is lost. Summary of the invention

[0004] To solve the above problems, the present invention provides the following technical solutions:

[0005] A distributed photovoltaic power station intelligent control method comprises the following steps:

[0006] Step 1: Summarize the power consumption of the user's load and calculate the user's daily power consumption standard;

[0007] Step 2: predicting the predicted electric energy standard that the photovoltaic power station can convert within a fixed period of time;

[0008] Step 3, calculating the remaining electric energy data after deducting the electric energy standard from the acquired electric energy data;

[0009] Step 4: When the fixed time period is reached, the grid energy storage unit is controlled to store the predicted remaining electric energy in advance, and the electric energy corresponding to the power consumption standard is stored through the backup energy storage unit;

[0010] Step five: Power the user load through the backup energy storage unit, and transmit the electric energy in the grid energy storage unit to the grid through the two-way meter at the preset time.

[0011] Preferably, in the above-mentioned distributed photovoltaic power station intelligent control method, the aggregating the power consumption of the loads used by the users and calculating the daily power consumption standard of the users comprises:

[0012] Step 1: Obtain the power consumption of the user load in real time through the detection unit, and send the power consumption data to the database;

[0013] Step 2: sort the electricity consumption data in the database according to the detection date, set 24 hours as a cycle, and establish a corresponding number of data sets according to the number of cycles;

[0014] Step 3: Copy the power consumption data into corresponding data sets respectively, and the data in each data set represents the power consumption of the load in each period of a day;

[0015] Step 4: Calculate the total power consumption data in each data set, and take the average of several total power consumption data. The result is the user's daily power consumption standard.

[0016] Preferably, in the above-mentioned distributed photovoltaic power station intelligent control method, the predicted electric energy standard that the photovoltaic power station can convert within a fixed time period includes:

[0017] Step 1: obtaining the daily power conversion data of the photovoltaic power station through the detection unit, storing the converted power data in the database, and inserting a corresponding date tag into the converted power data;

[0018] Step 2, obtaining historical meteorological information, storing the historical meteorological information in the database, and searching for converted power data containing corresponding date tags according to the date of the historical meteorological information;

[0019] Step 3: classify the historical meteorological information according to the preset temperature range, establish a corresponding number of meteorological sets according to different temperature ranges, and copy the converted power data of the corresponding date into the meteorological set;

[0020] Step 4, respectively calculating the average values ​​of several converted electric quantity data in the meteorological set, and the average value is the predicted electric energy standard;

[0021] Step 5: Obtain weather forecast data for the next day, transmit the weather forecast data to the database for comparison with the temperature range of the weather set, and obtain the predicted electric energy standard that the photovoltaic power station can convert within the next day based on the comparison result.

[0022] Preferably, in the above-mentioned distributed photovoltaic power station intelligent control method, the remaining electric energy data after deducting the electricity consumption standard from the electric energy data obtained by calculation includes:

[0023] Substitute the predicted power standard and power consumption standard into the calculation model to obtain the remaining power data;

[0024] The calculation model is W=PQ, wherein W is the remaining electric energy data, P is the predicted electric energy standard, and Q is the user's electricity consumption standard.

[0025] Preferably, in the above-mentioned distributed photovoltaic power station intelligent control method, the control grid energy storage unit stores the predicted remaining electric energy in advance, and the backup energy storage unit stores the electric energy corresponding to the electricity consumption standard, including:

[0026] Step 1: Establishing the grid energy storage unit and the backup energy storage unit, both of which are connected to the output end of the inverter;

[0027] Step 2: installing control unit 1 and control unit 2 on the connection lines between the grid energy storage unit and the backup energy storage unit and the inverter respectively; the control unit 1 and control unit 2 are used to control the transmission of electric energy;

[0028] Step 3, after the grid energy storage unit is connected to the grid through the bidirectional electric meter, the control unit connects the line between the grid energy storage unit and the inverter, disconnects the line between the backup energy storage unit and the inverter, and stores electricity in the grid energy storage unit;

[0029] Step 4: The metering unit calculates the amount of electricity stored in the grid energy storage unit in real time. When the amount of electricity inside the grid energy storage unit reaches the remaining energy data W, the control unit disconnects the line between the grid energy storage unit and the inverter, connects the line between the backup energy storage unit and the inverter, and stores electricity in the backup energy storage unit.

[0030] Preferably, in the above-mentioned distributed photovoltaic power station intelligent control method, it also includes:

[0031] The metering unit is connected to the backup energy storage unit, and the grid energy storage unit and the backup energy storage unit are bidirectionally electrically connected; an absorption switch is installed on the connection line from the grid energy storage unit to the backup energy storage unit, and a transmission switch is installed on the connection line from the backup energy storage unit to the grid energy storage unit;

[0032] When the amount of electricity stored in the backup energy storage unit exceeds twice the user electricity standard Q, the transmission switch is closed to transmit electricity to the grid energy storage unit through the backup energy storage unit until the amount of electricity stored in the backup energy storage unit reaches the user electricity standard Q and the transmission switch is disconnected;

[0033] When the amount of electricity stored in the backup energy storage unit is less than half of the user's electricity standard Q, the absorption switch is closed to transmit electricity to the backup energy storage unit through the grid energy storage unit until the amount of electricity stored in the backup energy storage unit reaches the user's electricity standard Q, and the absorption switch is disconnected.

[0034] A distributed photovoltaic power station intelligent control system, characterized by comprising:

[0035] The grid energy storage unit has one end connected to the inverter and the other end connected to the grid through the bidirectional meter, and is used to store the converted AC power and transmit it to the grid;

[0036] The backup energy storage unit has one end connected to the inverter and the other end connected to the user load, and is used to store the converted AC power and provide electric energy for the user load; the backup energy storage unit is bidirectionally electrically connected to the grid energy storage unit;

[0037] The detection unit is connected to the user load, the grid energy storage unit and the backup energy storage unit, and is used to obtain in real time the power consumption data of the user load and the converted power data stored daily by the grid energy storage unit and the backup energy storage unit;

[0038] An analysis and prediction module is connected to the detection unit and the local meteorological system; the analysis and prediction unit calculates the daily electricity consumption standard according to the electricity consumption data, calculates the predicted electric energy standard according to the converted electricity data and the meteorological data, and then calculates the remaining electric energy data according to the electricity consumption standard and the predicted electric energy standard;

[0039] A control module is connected to the analysis and prediction module signal and is electrically connected to the grid energy storage unit and the backup energy storage unit, and is used to control the storage action of the grid energy storage unit and the backup energy storage unit according to the remaining electric energy data.

[0040] Preferably, in the above-mentioned distributed photovoltaic power station intelligent control system, the analysis and prediction module includes:

[0041] The database is connected to the detection unit and the local meteorological system and is used to store power consumption data, converted power data and historical meteorological data;

[0042] A classification calculation unit connected to the database; the classification calculation unit divides the power consumption data into several sets according to 24 hours, sums the power consumption data in multiple sets to obtain the total power consumption per day, and then averages the multiple power consumption sums, and the result obtained is the power consumption standard; the classification calculation unit classifies the historical meteorological data according to a preset temperature range, matches the corresponding converted power data with the temperature range, averages the converted power data matching the same range, and the average obtained is the predicted power standard;

[0043] A data determination unit is connected to the classification calculation unit and the local meteorological system, and is used to obtain the temperature data of the photovoltaic power plant in the next day, compare the temperature data with a preset temperature range, and obtain the predicted electric energy standard for the next day based on the comparison result, and obtain the remaining power data by subtracting the power consumption standard from the predicted power standard.

[0044] Preferably, in the above-mentioned distributed photovoltaic power station intelligent control system, the control unit includes:

[0045] The metering unit is connected to the data determination unit and to the grid energy storage unit and the backup energy storage unit, and is used to calculate in real time whether the electric energy stored in the grid energy storage unit exceeds the remaining power data, and generate a grid disconnection instruction when it exceeds; calculate in real time whether the electric energy stored in the backup energy storage unit exceeds twice the user's electricity consumption standard, and generate a closing instruction when it exceeds; calculate in real time whether the electric energy stored in the backup energy storage unit is less than half of the user's electricity consumption standard, and generate an opening instruction when it is less than half;

[0046] The control unit 1 is arranged on the connection line between the inverter and the grid energy storage unit, and is used to control the connection state of the line between the two;

[0047] The second control unit is arranged on the connection line between the inverter and the backup energy storage unit, and is used to control the connection state of the line between the two;

[0048] In the initial state, the control unit 1 controls the connection line between the inverter and the grid energy storage unit to be connected, and the control unit 2 controls the connection line between the inverter and the backup energy storage unit to be disconnected, and the inverter supplies power to the grid energy storage unit; when the metering unit generates a grid circuit breaker instruction, it sends the instruction to the control unit 1 and the control unit 2, the control unit 1 controls the connection line between the inverter and the grid energy storage unit to be disconnected, and the control unit 2 controls the connection line between the inverter and the backup energy storage unit to be connected, and the inverter supplies power to the backup energy storage unit.

[0049] Preferably, in the above-mentioned distributed photovoltaic power station intelligent control system, the control unit further includes:

[0050] A switching switch connected to the metering unit and arranged on the bidirectional line of the grid energy storage unit and the backup energy storage unit, so that the initial state of the two is a disconnected state;

[0051] When the switching switch receives a closing instruction, the one-way line transmitted from the backup energy storage unit to the grid energy storage unit is connected until the electric energy in the backup energy storage unit is reduced to the user's electricity consumption standard and is disconnected again;

[0052] When the switching switch receives an opening instruction, the one-way line from the grid energy storage unit to the backup energy storage unit is connected until the electric energy in the backup energy storage unit is reduced to the user's electricity consumption standard and is disconnected again.

[0053] It can be seen from the above technical solutions that compared with the prior art, the present application has the following beneficial effects:

[0054] 1. The present invention improves the convenience of user use by setting two storage units, one for powering the load used by the user and the other for transmitting to the network;

[0055] 2. The present invention predicts the future power acquisition and the user's power consumption, and transmits power to the storage unit connected to the network in advance based on the difference. After the storage unit connected to the network is fully stored, it transmits power to the storage unit used by the user, and the storage unit used by the user continuously maintains enough power for one day, thereby enhancing the user's experience and ensuring that the remaining power is not wasted and connected to the network;

[0056] 3. The present invention sets the user's electricity consumption standard and establishes a connection between two storage units to ensure that insufficient electricity in the user's storage unit can be obtained from the grid storage unit, and excess electricity in the user's storage unit can be transmitted to the grid storage unit, thereby achieving reliability and flexibility in electricity consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0058] Figure 1 is a flow chart of the method of the present invention;

[0059] Figure 2 It is a flow chart of the system of the present invention. DETAILED DESCRIPTION

[0060] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention. The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0061] In the present invention, the terms "first", "second", and "third" are used for descriptive purposes only and should not be understood as indicating or implying relative importance; the term "plurality" refers to two or more, unless otherwise clearly defined. The terms "installed", "connected", "connected", "fixed", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; "connected" can be a direct connection or an indirect connection through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0062] In the description of the present invention, it is necessary to understand that the directions or positional relationships indicated by terms such as “upper”, “lower”, “left”, “right”, “front” and “back” are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or unit referred to must have a specific direction, be constructed and operated in a specific orientation, and therefore, cannot be understood as a limitation on the present invention.

[0063] In the description of this specification, the description of the terms "one embodiment", "some embodiments", "specific embodiments", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0064] Example 1

[0065] In one embodiment, see Figure 1 , a distributed photovoltaic power station intelligent control method, comprising the following steps:

[0066] Step 1: Summarize the power consumption of the user's load and calculate the user's daily power consumption standard;

[0067] Step 2: predicting the predicted electric energy standard that the photovoltaic power station can convert within a fixed period of time;

[0068] Step 3, calculating the remaining electric energy data after deducting the electric energy standard from the acquired electric energy data;

[0069] Step 4: When the fixed time period is reached, the grid energy storage unit is controlled to store the predicted remaining electric energy in advance, and the electric energy corresponding to the power consumption standard is stored through the backup energy storage unit;

[0070] Step five: Power the user load through the backup energy storage unit, and transmit the electric energy in the grid energy storage unit to the grid through the two-way meter at the preset time.

[0071] The principle of the above embodiment is to establish a user power forecast and a future power acquisition forecast, predict the power that can be connected to the network based on the forecast results, and establish two power storage units to supply power to the user and the grid respectively.

[0072] The beneficial effects of the above embodiments are: enhancing the user experience, avoiding the situation where the acquired electric energy cannot meet the own electricity consumption, predicting the amount of electricity that can be connected to the network, and facilitating users and the power grid to obtain uploaded electricity data.

[0073] Example 2

[0074] In one embodiment, see Figure 1 , a distributed photovoltaic power station intelligent control method, step one comprises:

[0075] S11, obtaining the power consumption of the user load in real time through the detection unit, and sending the power consumption data to the database;

[0076] S12, sorting the electricity consumption data in the database according to the detection date, setting 24 hours as a cycle, and establishing a corresponding number of data sets according to the number of cycles;

[0077] S13, copying the power consumption data into corresponding data sets respectively, wherein the data in each data set represents the power consumption of the load in each period of a day;

[0078] S14, calculating the sum of the power consumption data in each data set, and taking the average of the sums of several power consumption data, and the result obtained is the user's daily power consumption standard;

[0079] Step 2 includes:

[0080] S21, obtaining the daily converted power data of the photovoltaic power station through the detection unit, storing the converted power data in the database, and inserting a corresponding date tag into the converted power data;

[0081] S22, obtaining historical meteorological information, storing the historical meteorological information in a database, and searching for converted power data containing a corresponding date tag according to the date of the historical meteorological information;

[0082] S23, classifying the historical meteorological information according to the preset temperature range, establishing a corresponding number of meteorological sets according to different temperature ranges, and copying the converted power data of the corresponding date into the meteorological set;

[0083] S24, respectively calculating the average values ​​of a plurality of converted electric quantity data in the meteorological set, and the average values ​​are the predicted electric energy standards;

[0084] S25, obtaining weather forecast data for the next day, transmitting the weather forecast data to a database for comparison with the temperature range of the weather set, and obtaining a predicted electric energy standard that can be converted by the photovoltaic power station in the next day according to the comparison result;

[0085] Step three includes:

[0086] Substitute the predicted power standard and power consumption standard into the calculation model to obtain the remaining power data;

[0087] The calculation model is W=PQ; where W is the remaining power data, P is the predicted power standard, and Q is the user's power consumption standard;

[0088] Step 4 includes:

[0089] S41, establishing a grid energy storage unit and a backup energy storage unit, both of which are connected to the output end of the inverter;

[0090] S42, installing control unit 1 and control unit 2 on the connection lines between the grid energy storage unit and the backup energy storage unit and the inverter respectively; control unit 1 and control unit 2 are used to control power transmission;

[0091] S43, after the grid energy storage unit is connected to the grid through the bidirectional meter, the control unit connects the line between the grid energy storage unit and the inverter, disconnects the line between the backup energy storage unit and the inverter, and stores electricity in the grid energy storage unit;

[0092] S44, the power stored in the grid energy storage unit is calculated in real time by the metering unit. When the power inside the grid energy storage unit reaches the remaining power data W, the control unit disconnects the line between the grid energy storage unit and the inverter, connects the line between the backup energy storage unit and the inverter, and stores power in the backup energy storage unit;

[0093] Among them, temperature has an impact on photovoltaic power generation. The ideal operating temperature of photovoltaic power generation components is about 25°C. For every 1°C increase in temperature, the output power will decrease by about 0.35%, and the power generation of the photovoltaic power station will also decrease by about 0.35%. In some embodiments, the prediction can also be achieved by detecting the light intensity.

[0094] The beneficial effects of the above embodiment are: analyzing the user's daily electricity consumption standards based on historical usage points, finding the pattern between the two based on historical meteorological information combined with historical electricity conversion values, and then being able to predict how much electricity can be obtained in the next day based on the meteorological data of the next day, and calculate the electricity data that can be uploaded to the power grid, thereby avoiding users from being unable to use the electricity generated by photovoltaics at night, and being able to provide electricity to the power grid company every day.

[0095] Example 3

[0096] In one embodiment, see Figure 1 , a distributed photovoltaic power station intelligent control method, further comprising:

[0097] The metering unit is connected to the backup energy storage unit, and the grid energy storage unit and the backup energy storage unit are bidirectionally electrically connected; an absorption switch is installed on the connection line from the grid energy storage unit to the backup energy storage unit, and a transmission switch is installed on the connection line from the backup energy storage unit to the grid energy storage unit;

[0098] When the amount of electricity stored in the backup energy storage unit exceeds twice the user electricity standard Q, the transmission switch is closed to transmit electricity to the grid energy storage unit through the backup energy storage unit until the amount of electricity stored in the backup energy storage unit reaches the user electricity standard Q, the transmission switch is disconnected;

[0099] When the amount of electricity stored in the backup energy storage unit is lower than half of the user's electricity standard Q, the absorption switch is closed to transmit electricity to the backup energy storage unit through the grid energy storage unit until the amount of electricity stored in the backup energy storage unit reaches the user's electricity standard Q, at which time the absorption switch is disconnected.

[0100] The beneficial effect of the above embodiment is that the transmission route of electric energy can be adjusted in real time according to the user's electricity consumption standard, thereby enhancing the flexibility of electric energy use.

[0101] Example 4

[0102] In one embodiment, see Figure 2 , a distributed photovoltaic power station intelligent control system, comprising:

[0103] A grid energy storage unit, one end of which is connected to the inverter and the other end of which is connected to the grid through a bidirectional meter, for storing the converted AC power and transmitting it to the grid;

[0104] A backup energy storage unit, one end of which is connected to the inverter and the other end of which is connected to the user load, is used to store the converted AC power and provide electric energy for the user load; the backup energy storage unit is bidirectionally electrically connected to the grid energy storage unit;

[0105] A detection unit connected to the user load, the grid energy storage unit and the backup energy storage unit, and used to obtain in real time the power consumption data of the user load and the converted power data stored daily by the grid energy storage unit and the backup energy storage unit;

[0106] An analysis and prediction module is connected to the detection unit and the local meteorological system; the analysis and prediction unit calculates the daily electricity consumption standard according to the electricity consumption data, calculates the predicted electric energy standard according to the converted electricity data and the meteorological data, and then calculates the remaining electric energy data according to the electricity consumption standard and the predicted electric energy standard;

[0107] A control module, which is connected to the analysis and prediction module signal and is electrically connected to the grid energy storage unit and the backup energy storage unit, and is used to control the storage action of the grid energy storage unit and the backup energy storage unit according to the remaining electric energy data;

[0108] Among them, the analysis and prediction module includes:

[0109] A database, which is connected to the detection unit and the local meteorological system and is used to store power consumption data, converted power data and historical meteorological data;

[0110] A classification calculation unit is connected to the database; the classification calculation unit divides the power consumption data into several sets according to 24 hours, sums the power consumption data in multiple sets to obtain the total power consumption per day, and then averages the multiple power consumption sums to obtain the power consumption standard; the classification calculation unit classifies the historical meteorological data according to a preset temperature range, matches the corresponding converted power data with the temperature range, averages the converted power data matching the same range, and the obtained average is the predicted power standard;

[0111] A data determination unit is connected to the classification calculation unit and the local meteorological system, and is used to obtain the temperature data of the photovoltaic power plant in the next day, compare the temperature data with the preset temperature range, and obtain the predicted power standard for the next day according to the comparison result, and obtain the remaining power data by subtracting the power consumption standard from the predicted power standard;

[0112] The control unit includes:

[0113] The metering unit is connected to the data determination unit and to the grid energy storage unit and the backup energy storage unit, and is used to calculate in real time whether the electric energy stored in the grid energy storage unit exceeds the remaining power data, and generate a grid disconnection instruction when it exceeds; calculate in real time whether the electric energy stored in the backup energy storage unit exceeds twice the user's electricity consumption standard, and generate a closing instruction when it exceeds; calculate in real time whether the electric energy stored in the backup energy storage unit is less than half of the user's electricity consumption standard, and generate an opening instruction when it is less than half;

[0114] Control unit 1, which is arranged on the connection line between the inverter and the grid energy storage unit, and is used to control the connection state of the line between the two;

[0115] A second control unit is provided on the connection line between the inverter and the backup energy storage unit, and is used to control the connection state of the line between the two;

[0116] The initial state is that control unit 1 controls the connection line between the inverter and the grid energy storage unit to be connected, control unit 2 controls the connection line between the inverter and the backup energy storage unit to be disconnected, and the inverter supplies power to the grid energy storage unit; when the metering unit generates a grid disconnection instruction, it sends the instruction to control unit 1 and control unit 2, control unit 1 controls the connection line between the inverter and the grid energy storage unit to be disconnected, control unit 2 controls the connection line between the inverter and the backup energy storage unit to be connected, and the inverter supplies power to the backup energy storage unit;

[0117] A switching switch is connected to the metering unit and is arranged on the bidirectional line of the grid energy storage unit and the backup energy storage unit, so that the initial state of the two is a disconnected state;

[0118] When the exchange switch receives a closing command, the one-way line from the backup energy storage unit to the grid energy storage unit is connected until the power in the backup energy storage unit is reduced to the user's power consumption standard and then disconnected again;

[0119] When the switching switch receives the start command, the one-way line from the grid energy storage unit to the backup energy storage unit is connected until the electric energy in the backup energy storage unit drops to the user's electricity consumption standard and is disconnected again.

[0120] The beneficial effects of the above embodiments are: improving the convenience of user use, enhancing the user experience, and ensuring that the remaining electric energy is not wasted in the network, achieving the reliability of electricity use; analyzing the user's daily electricity use standards based on the historical usage points, finding the law between the two based on the historical meteorological information combined with the historical electricity conversion value, and then being able to predict how much electricity can be obtained in the next day based on the meteorological data of the next day, and calculate the electricity data that can be uploaded to the power grid, avoiding the user's inability to use the electricity generated by photovoltaics at night, and being able to provide electricity to the power grid company every day; being able to adjust the electricity transmission route in real time according to the user's electricity use standards, thereby enhancing the flexibility of electricity use.

[0121] It should be noted that the system provided in the above embodiment is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be decomposed or combined. For example, the modules in the above embodiments can be combined into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not regarded as improper limitations of the present invention.

[0122] The term "comprise" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus / device.

[0123] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0124] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations in the above description of the disclosed embodiments, so that professionals and technicians in the field can implement or use the present invention. Various modifications to these embodiments will be obvious to professionals and technicians in the field, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features disclosed herein.

Claims

1. A distributed photovoltaic power station intelligent control method, characterized in that: The following steps are involved: Step 1: Summarize the power consumption of the user's load and calculate the user's daily power consumption standard; Step 2: predicting the predicted electric energy standard that the photovoltaic power station can convert within a fixed period of time; Step 3, calculating the remaining electric energy data after deducting the electric energy standard from the acquired electric energy data; Step 4: When the fixed time period is reached, the grid energy storage unit is controlled to store the predicted remaining electric energy in advance, and the electric energy corresponding to the power consumption standard is stored through the backup energy storage unit; Step five: Power the user load through the backup energy storage unit, and transmit the electric energy in the grid energy storage unit to the grid through the two-way meter at the preset time.

2. A distributed photovoltaic power station intelligent control method according to claim 1, characterized in that: The method of summarizing the power consumption of the loads used by the users and calculating the daily power consumption standard of the users includes: Step 1: Obtain the power consumption of the user load in real time through the detection unit, and send the power consumption data to the database; Step 2: sort the electricity consumption data in the database according to the detection date, set 24 hours as a cycle, and establish a corresponding number of data sets according to the number of cycles; Step 3: Copy the power consumption data into corresponding data sets respectively, and the data in each data set represents the power consumption of the load in each period of a day; Step 4: Calculate the total power consumption data in each data set, and take the average of several total power consumption data. The result is the user's daily power consumption standard.

3. A distributed photovoltaic power station intelligent control method according to claim 2, characterized in that: The predicted electric energy standards that can be converted by the photovoltaic power station within a fixed period of time include: Step 1: acquiring the daily power conversion data of the photovoltaic power station through the detection unit, storing the converted power data in the database, and inserting a corresponding date tag into the converted power data; Step 2, obtaining historical meteorological information, storing the historical meteorological information in the database, and searching for converted power data with corresponding date tags according to the date of the historical meteorological information; Step 3: classify the historical meteorological information according to the preset temperature range, establish a corresponding number of meteorological sets according to different temperature ranges, and copy the converted power data of the corresponding date into the meteorological set; Step 4, respectively calculating the average values ​​of several converted electric quantity data in the meteorological set, and the average value is the predicted electric energy standard; Step 5: Obtain weather forecast data for the next day, transmit the weather forecast data to the database for comparison with the temperature range of the weather set, and obtain the predicted electric energy standard that the photovoltaic power station can convert within the next day based on the comparison result.

4. A distributed photovoltaic power station intelligent control method according to claim 3, characterized in that: The remaining electric energy data after deducting the electricity consumption standard from the electric energy data obtained by calculation includes: Substitute the predicted power standard and power consumption standard into the calculation model to obtain the remaining power data; The calculation model is W=PQ, wherein W is the remaining electric energy data, P is the predicted electric energy standard, and Q is the user's electricity consumption standard.

5. A distributed photovoltaic power station intelligent control method according to claim 4, characterized in that: The controlling the grid energy storage unit to store the predicted remaining electric energy in advance and storing the electric energy corresponding to the electricity consumption standard by the backup energy storage unit includes: Step 1: Establishing the grid energy storage unit and the backup energy storage unit, both of which are connected to the output end of the inverter; Step 2: installing control unit 1 and control unit 2 on the connection lines between the grid energy storage unit and the backup energy storage unit and the inverter respectively; the control unit 1 and control unit 2 are used to control the transmission of electric energy; Step 3, after the grid energy storage unit is connected to the grid through the bidirectional electric meter, the control unit connects the line between the grid energy storage unit and the inverter, disconnects the line between the backup energy storage unit and the inverter, and stores electricity in the grid energy storage unit; Step 4: The metering unit calculates the amount of electricity stored in the grid energy storage unit in real time. When the amount of electricity inside the grid energy storage unit reaches the remaining energy data W, the control unit disconnects the line between the grid energy storage unit and the inverter, connects the line between the backup energy storage unit and the inverter, and stores electricity in the backup energy storage unit.

6. A distributed photovoltaic power station intelligent control method according to claim 5, characterized in that: Also includes: The metering unit is connected to the backup energy storage unit, and the grid energy storage unit and the backup energy storage unit are bidirectionally electrically connected; an absorption switch is installed on the connection line from the grid energy storage unit to the backup energy storage unit, and a transmission switch is installed on the connection line from the backup energy storage unit to the grid energy storage unit; When the amount of electricity stored in the backup energy storage unit exceeds twice the user electricity standard Q, the transmission switch is closed to transmit electricity to the grid energy storage unit through the backup energy storage unit until the amount of electricity stored in the backup energy storage unit reaches the user electricity standard Q and the transmission switch is disconnected; When the amount of electricity stored in the backup energy storage unit is less than half of the user's electricity standard Q, the absorption switch is closed to transmit electricity to the backup energy storage unit through the grid energy storage unit until the amount of electricity stored in the backup energy storage unit reaches the user's electricity standard Q, and the absorption switch is disconnected.

7. A distributed photovoltaic power station intelligent control system, based on the intelligent control method according to claims 1-6, characterized in that: include: The grid energy storage unit has one end connected to the inverter and the other end connected to the grid through the bidirectional meter, and is used to store the converted AC power and transmit it to the grid; The backup energy storage unit has one end connected to the inverter and the other end connected to the user load, and is used to store the converted AC power and provide electric energy for the user load; the backup energy storage unit is bidirectionally electrically connected to the grid energy storage unit; The detection unit is connected to the user load, the grid energy storage unit and the backup energy storage unit, and is used to obtain in real time the power consumption data of the user load and the converted power data stored daily by the grid energy storage unit and the backup energy storage unit; An analysis and prediction module is connected to the detection unit and the local meteorological system; the analysis and prediction unit calculates the daily electricity consumption standard according to the electricity consumption data, calculates the predicted electric energy standard according to the converted electricity data and the meteorological data, and then calculates the remaining electric energy data according to the electricity consumption standard and the predicted electric energy standard; A control module is connected to the analysis and prediction module signal and is electrically connected to the grid energy storage unit and the backup energy storage unit, and is used to control the storage action of the grid energy storage unit and the backup energy storage unit according to the remaining electric energy data.

8. A distributed photovoltaic power station intelligent control system according to claim 7, characterized in that: The analysis and prediction module includes: The database is connected to the detection unit and the local meteorological system and is used to store power consumption data, converted power data and historical meteorological data; A classification calculation unit connected to the database; the classification calculation unit divides the power consumption data into several sets according to 24 hours, sums the power consumption data in multiple sets to obtain the total power consumption per day, and then averages the multiple power consumption sums, and the result obtained is the power consumption standard; the classification calculation unit classifies the historical meteorological data according to a preset temperature range, matches the corresponding converted power data with the temperature range, averages the converted power data matching the same range, and the average obtained is the predicted power standard; A data determination unit is connected to the classification calculation unit and the local meteorological system, and is used to obtain the temperature data of the photovoltaic power plant in the next day, compare the temperature data with a preset temperature range, and obtain the predicted electric energy standard for the next day based on the comparison result, and obtain the remaining power data by subtracting the power consumption standard from the predicted power standard.

9. A distributed photovoltaic power station intelligent control system according to claim 8, characterized in that: The control unit comprises: The metering unit is connected to the data determination unit and to the grid energy storage unit and the backup energy storage unit, and is used to calculate in real time whether the electric energy stored in the grid energy storage unit exceeds the remaining power data, and generate a grid disconnection instruction when it exceeds; calculate in real time whether the electric energy stored in the backup energy storage unit exceeds twice the user's electricity consumption standard, and generate a closing instruction when it exceeds; calculate in real time whether the electric energy stored in the backup energy storage unit is less than half of the user's electricity consumption standard, and generate an opening instruction when it is less than half; The control unit 1 is arranged on the connection line between the inverter and the grid energy storage unit, and is used to control the connection state of the line between the two; The second control unit is arranged on the connection line between the inverter and the backup energy storage unit, and is used to control the connection state of the line between the two; In the initial state, the control unit 1 controls the connection line between the inverter and the grid energy storage unit to be connected, and the control unit 2 controls the connection line between the inverter and the backup energy storage unit to be disconnected, and the inverter supplies power to the grid energy storage unit; when the metering unit generates a grid circuit breaker instruction, it sends the instruction to the control unit 1 and the control unit 2, the control unit 1 controls the connection line between the inverter and the grid energy storage unit to be disconnected, and the control unit 2 controls the connection line between the inverter and the backup energy storage unit to be connected, and the inverter supplies power to the backup energy storage unit.

10. A distributed photovoltaic power station intelligent control system according to claim 9, characterized in that: The control unit also includes: A switching switch connected to the metering unit and arranged on the bidirectional line of the grid energy storage unit and the backup energy storage unit, so that the initial state of the two is a disconnected state; When the switching switch receives a closing instruction, the one-way line transmitted from the backup energy storage unit to the grid energy storage unit is connected until the electric energy in the backup energy storage unit is reduced to the user's electricity consumption standard and is disconnected again; When the switching switch receives an opening instruction, the one-way line from the grid energy storage unit to the backup energy storage unit is connected until the electric energy in the backup energy storage unit is reduced to the user's electricity consumption standard and is disconnected again.

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