A distributed photovoltaic energy storage power operation and maintenance system and method for industrial and commercial use

Abstract

The present invention discloses a distributed photovoltaic energy storage power operation and maintenance system and method for industrial and commercial use, and relates to the field of photovoltaic energy storage technology. When the system is running, an energy storage battery information group is obtained through an energy storage device acquisition module, and photovoltaic area weather report information is obtained through a weather analysis module. After processing and analysis, the following are obtained: a weather energy fluctuation factor Bdyz; a connector information group is obtained through an energy storage connection device acquisition module, and preprocessing and integration are performed to obtain a first data set and a second data set, and the data set is fitted with the weather energy fluctuation factor Bdyz to obtain: an energy storage device regulation evaluation index Pgzs, which is matched with an energy storage device regulation evaluation threshold P, to obtain a distributed photovoltaic energy storage device adjustment plan, and specific execution and notification are performed according to the plan content, so as to automatically identify whether the energy storage device needs to be regulated and execute the corresponding regulation plan, which reduces the burden of manual intervention and improves the efficiency and accuracy of operation and maintenance.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic energy storage technology, and specifically to a distributed photovoltaic energy storage power operation and maintenance system and method applied to industry and commerce. Background Art

[0002] As society's demand for renewable energy continues to grow, the demand for distributed photovoltaic energy storage power operation and maintenance systems in the industrial and commercial fields is becoming increasingly urgent. Traditional energy supply faces many problems such as high energy costs and poor power stability, which restricts the sustainable development of enterprises. In addition, the current industrial and commercial distributed photovoltaic energy storage management has some shortcomings.

[0003] Among them, when the traditional energy storage system faces sunny days, the photovoltaic energy generation increases. However, due to the slow response of the system or the inability to adjust the charging and discharging strategy in time, and the failure to adjust the charging rate in time, some solar energy is wasted, and the user's electricity experience is poor. Equipment operation abnormalities and production interruptions may occur, which directly affect the company's production efficiency and product quality, and then lead to accelerated equipment aging, shortened service life, increased maintenance and replacement costs, and also increased the risk of production interruptions, affecting the company's production efficiency and economic benefits.

[0004] In addition, the charging and discharging strategies failed to be adjusted in time to adapt to the volatility of photovoltaic energy and weather changes, resulting in the waste of some available solar energy. At the same time, the charging and discharging strategies of energy storage equipment cannot be adjusted according to the characteristics of industrial or commercial electricity use. This low energy utilization efficiency not only means that enterprises cannot make full use of renewable energy, but also leads to waste of resources and rising energy costs. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a distributed photovoltaic energy storage power operation and maintenance system and method for industrial and commercial use, which solves the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use, including an energy storage device acquisition module, a weather analysis module, an energy storage connection device acquisition module, a data processing module and an energy storage device control module;

[0007] The energy storage device acquisition module collects battery information of the energy storage device, including charge and discharge information, capacity information and temperature information, to form an energy storage battery information group;

[0008] The weather analysis module obtains future fixed-period weather report information of the distributed photovoltaic area through the Internet, extracts it, obtains the photovoltaic area weather information, and performs dimensionless processing on the photovoltaic area weather information to analyze and obtain: weather energy fluctuation factor Bdyz;

[0009] The energy storage connection device acquisition module collects the operating status of the energy storage device input and output devices, including device operating temperature information and electric energy information, to form a connection information group;

[0010] The data processing module preprocesses and integrates the energy storage battery information group and the connector information group to form a first data set and a second data set, and fits them with the weather energy fluctuation factor Bdyz to obtain: energy storage equipment regulation evaluation index Pgzs;

[0011] The energy storage device control module matches the preset energy storage device control evaluation threshold P with the energy storage device control evaluation index Pgzs, obtains the distributed photovoltaic energy storage device adjustment plan, and performs specific execution and notification according to the content of the distributed photovoltaic energy storage device adjustment plan.

[0012] Preferably, the energy storage device acquisition module includes a charge and discharge acquisition unit and a storage acquisition unit;

[0013] The charging and discharging acquisition unit is used to monitor the charging and discharging status of the energy storage device in real time, including the current charging information, discharging information and charging and discharging rate information of the battery;

[0014] The charging information includes: charging status, charging voltage, charging current and charging power;

[0015] Discharge information includes: discharge state, discharge voltage, discharge current and discharge power;

[0016] Charging status includes: charging, charging completed, not charged, not discharged, discharge failure and discharge maintenance;

[0017] The storage acquisition unit is used to collect capacity information and real-time temperature information of the energy storage device, and synchronously read the inherent information of the energy storage device, including: rated voltage, rated capacity, maximum charging power, maximum discharging power and maximum value of battery cycle charge and discharge times; the capacity information includes: current energy storage battery energy information, remaining energy information and charging status; the temperature information includes: battery surface temperature information, battery internal temperature information and ambient temperature value of the equipment working area;

[0018] Among them, temperature information is obtained through environmental sensors connected to the working area of ​​the equipment, and charging information, discharging information, charging and discharging rate information, capacity information, real-time temperature information and inherent information of the energy storage device are simultaneously integrated to form an energy storage battery information group.

[0019] Preferably, the weather analysis module includes a crawling unit and an analysis unit;

[0020] The crawling unit obtains future fixed-period weather report information of the distributed photovoltaic area by connecting to the Internet, including accessing a weather forecast website or API, and extracting required weather data therefrom, including weather conditions, temperature, wind speed, precipitation, ultraviolet intensity, sunrise time, sunset time, and light duration information, to form photovoltaic area weather information;

[0021] Among them, weather conditions include: sunny, cloudy, overcast, snowy, rainy and foggy days. By obtaining the preset influence degree sequence value of weather conditions on photovoltaic energy collection, the influence of weather conditions on photovoltaic energy collection is digitized;

[0022] The analysis unit performs dimensionless processing on the photovoltaic area weather information so that the photovoltaic area weather information is in the same dimension, and uses deep learning technology to analyze the processed photovoltaic area weather information to obtain: weather energy fluctuation factor Bdyz;

[0023] The processed photovoltaic area weather information includes: illumination duration value Gzz, sunrise time value Rcz, sunset time value Rlz, ultraviolet intensity value Zwx and weather state sequence value Tqxl.

[0024] Preferably, the weather energy fluctuation factor Bdyz is calculated by the following formula:

[0025]

[0026] Wherein, Bdyz represents the weather energy fluctuation factor, Gzz represents the illumination duration value, Rcz represents the sunrise time value, Rlz represents the sunset time value, Zwx represents the ultraviolet intensity value, Tqxl represents the weather state sequence value, b1 represents the proportional coefficient of the calculation results of the illumination duration value Gzz, the sunrise time value Rcz and the sunset time value Rlz, b2 represents the proportional coefficient of the calculation results of the illumination duration value Gzz, the sunrise time value Rcz, the sunset time value Rlz ​​and the weather state sequence value Tqxl, and b3 represents the proportional coefficient of the ultraviolet intensity value Zwx;

[0027] Among them, 0.21≤b1≤0.39, 0.23≤b2≤0.37, 0.18≤b3≤0.24, and b1+b2+b3≤1.0, and C represents the first correction constant.

[0028] Preferably, the energy storage connection device acquisition module includes a connection unit and an extraction unit;

[0029] The connection unit is used to connect sensors at the input and output ends of the energy storage device to collect device operation status information, including connecting a temperature sensor to obtain device operation temperature information, connecting an electric energy sensor to obtain device operation electric energy information, and transmitting the device operation temperature information and electric energy information to the extraction unit;

[0030] The extraction unit extracts the equipment operating temperature information and electric energy information, including reading the equipment's operating temperature, minimum temperature, maximum temperature and temperature fluctuation information, extracts the equipment's electric energy consumption information read by the electric energy sensor, including voltage information, current information and power information, converts them into digital or analog signals, and then normalizes them, and then integrates the temperature information and electric energy information to form a connector information group.

[0031] Preferably, the data processing module includes a preprocessing unit and a fitting unit;

[0032] The preprocessing unit preprocesses and integrates the energy storage battery information group and the connector information group, wherein the preprocessing includes outlier removal and normalization processing, and integrates the preprocessed energy storage battery information group and the connector information group to form a first data set and a second data set;

[0033] The first data set includes: a charging voltage value Cdy, a charging current value Cdl, a discharging voltage value Fdy, a discharging current value Fdl, a rated capacity Edrl and a maximum power value Zdgl;

[0034] The second data set includes: an operating temperature value Yxwd, a minimum temperature value Wmin, a maximum temperature value Wmax, a voltage value Dyz, a current value Dlz and an electric power value Glz;

[0035] The fitting unit trains the first data set and the second data set by using a linear regression model to obtain: an energy storage device operating state coefficient Cnxs and a connection device operating state coefficient Ljxs, and then uses a polynomial regression model to train and fit the energy storage device operating state coefficient Cnxs, the connection device operating state coefficient Ljxs and the weather energy fluctuation factor Bdyz to obtain: an energy storage device regulation evaluation index Pgzs;

[0036] The energy storage equipment regulation evaluation index Pgzs is calculated by the following formula:

[0037]

[0038] In the formula, Pgzs represents the energy storage equipment regulation evaluation index, Cnxs represents the energy storage equipment operating state coefficient, Ljxs represents the connection equipment operating state coefficient, Bdyz represents the weather energy fluctuation factor, p1, p2 and p3 represent the proportional coefficients of the energy storage equipment operating state coefficient Cnxs, the connection equipment operating state coefficient Ljxs and the weather energy fluctuation factor Bdyz respectively;

[0039] Among them, 0.23≤p1≤0.38, 0.19≤p2≤0.36, 0.13≤p3≤0.26, and p1+p2+p3≤1.0, and G represents the second correction constant.

[0040] Preferably, the energy storage device operating state coefficient Cnxs is calculated and obtained by the following formula:

[0041]

[0042] Wherein, Cnxs represents the operating state coefficient of the energy storage device, Cdy represents the charging voltage value, Cdl represents the charging current value, Fdy represents the discharging voltage value, Fdl represents the discharging current value, Edrl represents the rated capacity, Zdgl represents the maximum power value, c1 represents the proportional coefficient of the calculation results of the charging voltage value Cdy, the charging current value Cdl, the discharging voltage value Fdy and the discharging current value Fdl, c2 represents the proportional coefficient of the calculation results of the charging voltage value Cdy, the charging current value Cdl, the discharging voltage value Fdy, the discharging current value Fdl and the rated capacity Edrl, and c3 represents the proportional coefficient of the calculation results of the charging voltage value Cdy, the charging current value Cdl and the maximum power value Zdgl;

[0043] Wherein, 0.18≤c1≤0.35, 0.19≤c2≤0.33, 0.16≤c3≤0.32, and c1+c2+c3≤1.0, and E represents the third correction constant;

[0044] The connection equipment operation status coefficient Ljxs is calculated by the following formula:

[0045]

[0046] Wherein, Ljxs represents the operating state coefficient of the connected equipment, Yxwd represents the operating temperature value, Wmin represents the minimum temperature value, Wmax represents the maximum temperature value, Dyz represents the voltage value, Dlz represents the current value, Glz represents the electric power value, j1 represents the proportional coefficient of the calculation results of the operating temperature value Yxwd, the minimum temperature value Wmin and the maximum temperature value Wmax, j2 represents the proportional coefficient of the calculation results of the voltage value Dyz, the current value Dlz and the electric power value Glz, and j3 represents the proportional coefficient of the calculation results of the minimum temperature value Wmin, the maximum temperature value Wmax, the voltage value Dyz and the current value Dlz;

[0047] Among them, 0.23≤j1≤0.37, 0.21≤j2≤0.36, 0.18≤j3≤0.27, and j1+j2+j3≤1.0, and K represents the fourth correction constant.

[0048] Preferably, the energy storage device control module includes a matching unit and an execution unit;

[0049] The matching unit matches the preset relevant information with the required comparison value, including matching the preset energy storage device regulation and evaluation threshold P with the energy storage device regulation and evaluation index Pgzs to obtain a distributed photovoltaic energy storage device adjustment plan;

[0050] The execution unit performs specific execution and notification according to the content of the distributed photovoltaic energy storage equipment adjustment plan. The execution includes regulating the charging adjustment of the energy storage equipment, the discharging adjustment of the energy storage equipment, and the adjustment of the environmental facilities in the working area of ​​the energy storage equipment. The notification includes sending SMS notifications and email notifications to preset contacts, and pop-up prompts on the visual interactive page.

[0051] Preferably, the distributed photovoltaic energy storage equipment adjustment plan is obtained by matching in the following manner:

[0052] The energy storage equipment regulation and control evaluation index Pgzs is less than the energy storage equipment regulation and control evaluation threshold P, and the energy storage equipment operation status non-regulation evaluation result is obtained, and the energy storage equipment and the environmental facilities in the working area of ​​the energy storage equipment are not regulated;

[0053] The energy storage equipment regulation and control evaluation index Pgzs≥the energy storage equipment regulation and control evaluation threshold P, obtain the energy storage equipment operation status regulation and control evaluation results, regulate the energy storage equipment and the environmental facilities in the working area of ​​the energy storage equipment, including the charging regulation, discharging regulation and environmental facilities regulation of the energy storage equipment. When the energy storage equipment regulation and control evaluation index Pgzs≥twice the energy storage equipment regulation and control evaluation threshold P, obtain the energy storage equipment operation status abnormality evaluation results, send abnormality notifications to the preset relevant inspection and maintenance personnel, and put them on the top of the inspection and maintenance list.

[0054] A method for operating and maintaining distributed photovoltaic energy storage power for industrial and commercial use, comprising the following steps:

[0055] Step 1: The energy storage device acquisition module collects battery information from the energy storage device, including charge and discharge information, capacity information and temperature information, to form an energy storage battery information group;

[0056] Step 2: The weather analysis module obtains the future fixed-period weather report information of the distributed photovoltaic area through the Internet, extracts it, obtains the weather information of the photovoltaic area, and performs dimensionless processing on the weather information of the photovoltaic area to analyze and obtain: weather energy fluctuation factor Bdyz;

[0057] Step 3: The energy storage connection device acquisition module collects the operating status of the energy storage device input and output devices, including the device operating temperature information and power information, to form a connection information group;

[0058] Step 4: The data processing module preprocesses and integrates the energy storage battery information group and the connector information group to form a first data set and a second data set, and fits them with the weather energy fluctuation factor Bdyz to obtain: energy storage equipment regulation evaluation index Pgzs;

[0059] Step 5: The energy storage device control module matches the preset energy storage device control evaluation threshold P with the energy storage device control evaluation index Pgzs to obtain the distributed photovoltaic energy storage device adjustment plan, and performs specific execution and notification according to the content of the distributed photovoltaic energy storage device adjustment plan.

[0060] The present invention provides a distributed photovoltaic energy storage power operation and maintenance system and method for industrial and commercial use, which has the following beneficial effects:

[0061] (1) When the system is running, the energy storage battery information group is obtained through the energy storage device acquisition module, and the photovoltaic area weather report information is obtained through the weather analysis module. After processing and analysis, the weather energy fluctuation factor Bdyz is obtained. The connection component information group is obtained through the energy storage connection device acquisition module. The data processing module performs preprocessing and integration to obtain the first data set and the second data set, and fits them with the weather energy fluctuation factor Bdyz to obtain the energy storage device regulation evaluation index Pgzs, and matches it with the energy storage device regulation evaluation threshold P. The distributed photovoltaic energy storage device adjustment plan is obtained, and specific execution and notification are performed according to the content of the plan, so as to automatically identify whether the energy storage device needs to be regulated and execute the corresponding regulation plan. This reduces the burden of manual intervention, improves the efficiency and accuracy of operation and maintenance, and improves the utilization rate of solar energy by timely adjusting the charging and discharging strategy, increases the service life of the equipment, reduces the maintenance and replacement costs, and improves the production efficiency and economic benefits of the enterprise.

[0062] (2) By analyzing the future weather in the distributed photovoltaic area, the weather energy fluctuation factor Bdyz is obtained, which can effectively deal with the volatility of photovoltaic energy and the energy fluctuations caused by weather changes, and adjust the charging and discharging of the energy storage equipment according to the terminal use characteristics of the energy storage equipment, thereby improving the utilization rate of renewable energy and the operation of the energy storage equipment to be more stable and maximize efficiency conversion.

[0063] (3) By matching the preset energy storage device regulation evaluation threshold P with the energy storage device regulation evaluation index Pgzs, the distributed photovoltaic energy storage device adjustment plan is obtained, and the operating status of the energy storage device is monitored in real time and adaptively adjusted. The distributed photovoltaic energy storage device is regulated according to the preset distributed photovoltaic energy storage device adjustment plan. This helps to ensure that the energy storage device can maintain the best operating state under different conditions and improve energy utilization efficiency.

[0064] (4) Through steps 1 to 5, the energy storage device collection information and photovoltaic area weather information are processed and calculated to obtain the energy storage device regulation evaluation index Pgzs, and matched with the preset energy storage device regulation evaluation threshold P to obtain the distributed photovoltaic energy storage device adjustment plan, so as to collect the information of the energy storage device and the photovoltaic area, and combine it with the weather forecast data to realize the intelligent management and regulation of energy, which helps to optimize the utilization efficiency of energy and reduce energy costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 This is a schematic diagram of a block diagram of a distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use according to the present invention;

[0066] Figure 2 The present invention is a schematic diagram of the steps of a method for operating and maintaining distributed photovoltaic energy storage power applied to industry and commerce. DETAILED DESCRIPTION

[0067] 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 the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0068] As society's demand for renewable energy continues to grow, the demand for distributed photovoltaic energy storage power operation and maintenance systems in the industrial and commercial fields is becoming increasingly urgent. Traditional energy supply faces many problems such as high energy costs and poor power stability, which restricts the sustainable development of enterprises. In addition, the current industrial and commercial distributed photovoltaic energy storage management has some shortcomings.

[0069] Among them, when the traditional energy storage system faces sunny days, the photovoltaic energy generation increases. However, due to the slow response of the system or the inability to adjust the charging and discharging strategy in time, and the failure to adjust the charging rate in time, some solar energy is wasted, and the user's electricity experience is poor. Equipment operation abnormalities and production interruptions may occur, which directly affect the company's production efficiency and product quality, and then lead to accelerated equipment aging, shortened service life, increased maintenance and replacement costs, and also increased the risk of production interruptions, affecting the company's production efficiency and economic benefits.

[0070] In addition, the charging and discharging strategies failed to be adjusted in time to adapt to the volatility of photovoltaic energy and weather changes, resulting in the waste of some available solar energy. At the same time, the charging and discharging strategies of energy storage equipment cannot be adjusted according to the characteristics of industrial or commercial electricity use. This low energy utilization efficiency not only means that enterprises cannot make full use of renewable energy, but also leads to waste of resources and rising energy costs.

[0071] Example 1

[0072] The present invention provides a distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use. Figure 1 , including energy storage equipment acquisition module, weather analysis module, energy storage connection equipment acquisition module, data processing module and energy storage equipment control module;

[0073] The energy storage device acquisition module collects battery information of the energy storage device, including charge and discharge information, capacity information and temperature information, to form an energy storage battery information group;

[0074] The weather analysis module obtains future fixed-period weather report information of the distributed photovoltaic area through the Internet, extracts it, obtains the photovoltaic area weather information, and performs dimensionless processing on the photovoltaic area weather information to analyze and obtain: weather energy fluctuation factor Bdyz;

[0075] The energy storage connection device acquisition module collects the operating status of the energy storage device input and output devices, including device operating temperature information and electric energy information, to form a connection information group;

[0076] The data processing module preprocesses and integrates the energy storage battery information group and the connector information group to form a first data set and a second data set, and fits them with the weather energy fluctuation factor Bdyz to obtain: energy storage equipment regulation evaluation index Pgzs;

[0077] The energy storage device control module matches the preset energy storage device control evaluation threshold P with the energy storage device control evaluation index Pgzs, obtains the distributed photovoltaic energy storage device adjustment plan, and performs specific execution and notification according to the content of the distributed photovoltaic energy storage device adjustment plan.

[0078] In this embodiment, the energy storage battery information group is obtained through the energy storage device acquisition module, the photovoltaic area weather report information is obtained through the weather analysis module, and after processing and analysis, the weather energy fluctuation factor Bdyz is obtained. The device information connected to the energy storage device is obtained through the energy storage connection device acquisition module to form a connector information group. The data processing module performs preprocessing and integration to obtain the first data set and the second data set, and fits them with the weather energy fluctuation factor Bdyz to obtain the energy storage device regulation and control evaluation index Pgzs. The energy storage device regulation and control evaluation threshold P preset by the energy storage device regulation and control module is matched to obtain the distributed photovoltaic energy storage device adjustment plan, and the plan is specifically executed and notified according to the content of the plan, so as to automatically identify whether the energy storage device needs to be regulated and execute the corresponding regulation plan. This reduces the burden of manual intervention, improves the efficiency and accuracy of operation and maintenance, and improves the utilization rate of solar energy by timely adjusting the charging and discharging strategy, increases the service life of the equipment, reduces the maintenance and replacement costs, and improves the production efficiency and economic benefits of the enterprise.

[0079] Example 2

[0080] This embodiment is explained in Example 1, please refer to Figure 1 , specifically: the energy storage device acquisition module includes a charge and discharge acquisition unit and a storage acquisition unit;

[0081] The charging and discharging acquisition unit is used to monitor the charging and discharging status of the energy storage device in real time, including the current charging information, discharging information and charging and discharging rate information of the battery;

[0082] The charging information includes: charging status, charging voltage, charging current and charging power;

[0083] Discharge information includes: discharge state, discharge voltage, discharge current and discharge power;

[0084] Charging status includes: charging, charging completed, not charged, not discharged, discharge failure and discharge maintenance;

[0085] The storage acquisition unit is used to collect capacity information and real-time temperature information of the energy storage device, and synchronously read the inherent information of the energy storage device, including: rated voltage, rated capacity, maximum charging power, maximum discharging power and maximum value of battery cycle charge and discharge times; the capacity information includes: current energy storage battery energy information, remaining energy information and charging status; the temperature information includes: battery surface temperature information, battery internal temperature information and ambient temperature value of the equipment working area;

[0086] Among them, temperature information is obtained through environmental sensors connected to the working area of ​​the equipment, and charging information, discharging information, charging and discharging rate information, capacity information, real-time temperature information and inherent information of the energy storage device are simultaneously integrated to form an energy storage battery information group.

[0087] The weather analysis module includes a crawling unit and an analysis unit;

[0088] The crawling unit obtains future fixed-period weather report information of the distributed photovoltaic area by connecting to the Internet, including accessing a weather forecast website or API, and extracting required weather data therefrom, including weather conditions, temperature, wind speed, precipitation, ultraviolet intensity, sunrise time, sunset time, and light duration information, to form photovoltaic area weather information;

[0089] Among them, weather conditions include: sunny, cloudy, overcast, snowy, rainy and foggy days. By obtaining the preset influence degree sequence value of weather conditions on photovoltaic energy collection, the influence of weather conditions on photovoltaic energy collection is digitized;

[0090] The analysis unit performs dimensionless processing on the photovoltaic area weather information so that the photovoltaic area weather information is in the same dimension, and uses deep learning technology to analyze the processed photovoltaic area weather information to obtain: weather energy fluctuation factor Bdyz;

[0091] The processed photovoltaic area weather information includes: illumination duration value Gzz, sunrise time value Rcz, sunset time value Rlz, ultraviolet intensity value Zwx and weather state sequence value Tqxl.

[0092] The weather energy fluctuation factor Bdyz is calculated by the following formula:

[0093]

[0094] Wherein, Bdyz represents the weather energy fluctuation factor, Gzz represents the illumination duration value, Rcz represents the sunrise time value, Rlz represents the sunset time value, Zwx represents the ultraviolet intensity value, Tqxl represents the weather state sequence value, b1 represents the proportional coefficient of the calculation results of the illumination duration value Gzz, the sunrise time value Rcz and the sunset time value Rlz, b2 represents the proportional coefficient of the calculation results of the illumination duration value Gzz, the sunrise time value Rcz, the sunset time value Rlz ​​and the weather state sequence value Tqxl, and b3 represents the proportional coefficient of the ultraviolet intensity value Zwx;

[0095] Among them, 0.21≤b1≤0.39, 0.23≤b2≤0.37, 0.18≤b3≤0.24, and b1+b2+b3≤1.0, and C represents the first correction constant.

[0096] In this embodiment, by analyzing the future weather in the distributed photovoltaic area, the weather energy fluctuation factor Bdyz is obtained, which can effectively cope with the volatility of photovoltaic energy and energy fluctuations caused by weather changes, and adjust the charging and discharging of the energy storage device according to the terminal use characteristics of the energy storage device, thereby improving the utilization rate of renewable energy and the operation of the energy storage device to be more stable and maximize efficiency conversion.

[0097] Example 3

[0098] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the energy storage connection device acquisition module includes a connection unit and an extraction unit;

[0099] The connection unit is used to connect sensors at the input and output ends of the energy storage device to collect device operation status information, including connecting a temperature sensor to obtain device operation temperature information, connecting an electric energy sensor to obtain device operation electric energy information, and transmitting the device operation temperature information and electric energy information to the extraction unit;

[0100] The extraction unit extracts the equipment operating temperature information and electric energy information, including reading the equipment's operating temperature, minimum temperature, maximum temperature and temperature fluctuation information, extracts the equipment's electric energy consumption information read by the electric energy sensor, including voltage information, current information and power information, converts them into digital or analog signals, and then normalizes them, and then integrates the temperature information and electric energy information to form a connector information group.

[0101] The data processing module includes a preprocessing unit and a fitting unit;

[0102] The preprocessing unit preprocesses and integrates the energy storage battery information group and the connector information group, wherein the preprocessing includes outlier removal and normalization processing, and integrates the preprocessed energy storage battery information group and the connector information group to form a first data set and a second data set;

[0103] The first data set includes: a charging voltage value Cdy, a charging current value Cdl, a discharging voltage value Fdy, a discharging current value Fdl, a rated capacity Edrl and a maximum power value Zdgl;

[0104] The second data set includes: an operating temperature value Yxwd, a minimum temperature value Wmin, a maximum temperature value Wmax, a voltage value Dyz, a current value Dlz and an electric power value Glz;

[0105] The fitting unit trains the first data set and the second data set by using a linear regression model to obtain: an energy storage device operating state coefficient Cnxs and a connection device operating state coefficient Ljxs, and then uses a polynomial regression model to train and fit the energy storage device operating state coefficient Cnxs, the connection device operating state coefficient Ljxs and the weather energy fluctuation factor Bdyz to obtain: an energy storage device regulation evaluation index Pgzs;

[0106] The energy storage equipment regulation evaluation index Pgzs is calculated by the following formula:

[0107]

[0108] In the formula, Pgzs represents the energy storage equipment regulation evaluation index, Cnxs represents the energy storage equipment operating state coefficient, Ljxs represents the connection equipment operating state coefficient, Bdyz represents the weather energy fluctuation factor, p1, p2 and p3 represent the proportional coefficients of the energy storage equipment operating state coefficient Cnxs, the connection equipment operating state coefficient Ljxs and the weather energy fluctuation factor Bdyz respectively;

[0109] Among them, 0.23≤p1≤0.38, 0.19≤p2≤0.36, 0.13≤p3≤0.26, and p1+p2+p3≤1.0, and G represents the second correction constant.

[0110] The energy storage device operating state coefficient Cnxs is calculated by the following formula:

[0111]

[0112] Wherein, Cnxs represents the operating state coefficient of the energy storage device, Cdy represents the charging voltage value, Cdl represents the charging current value, Fdy represents the discharging voltage value, Fdl represents the discharging current value, Edrl represents the rated capacity, Zdgl represents the maximum power value, c1 represents the proportional coefficient of the calculation results of the charging voltage value Cdy, the charging current value Cdl, the discharging voltage value Fdy and the discharging current value Fdl, c2 represents the proportional coefficient of the calculation results of the charging voltage value Cdy, the charging current value Cdl, the discharging voltage value Fdy, the discharging current value Fdl and the rated capacity Edrl, and c3 represents the proportional coefficient of the calculation results of the charging voltage value Cdy, the charging current value Cdl and the maximum power value Zdgl;

[0113] Wherein, 0.18≤c1≤0.35, 0.19≤c2≤0.33, 0.16≤c3≤0.32, and c1+c2+c3≤1.0, and E represents the third correction constant;

[0114] The connection equipment operation status coefficient Ljxs is calculated by the following formula:

[0115]

[0116] Wherein, Ljxs represents the operating state coefficient of the connected equipment, Yxwd represents the operating temperature value, Wmin represents the minimum temperature value, Wmax represents the maximum temperature value, Dyz represents the voltage value, Dlz represents the current value, Glz represents the electric power value, j1 represents the proportional coefficient of the calculation results of the operating temperature value Yxwd, the minimum temperature value Wmin and the maximum temperature value Wmax, j2 represents the proportional coefficient of the calculation results of the voltage value Dyz, the current value Dlz and the electric power value Glz, and j3 represents the proportional coefficient of the calculation results of the minimum temperature value Wmin, the maximum temperature value Wmax, the voltage value Dyz and the current value Dlz;

[0117] Among them, 0.23≤j1≤0.37, 0.21≤j2≤0.36, 0.18≤j3≤0.27, and j1+j2+j3≤1.0, and K represents the fourth correction constant.

[0118] Example 4

[0119] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the energy storage device control module includes a matching unit and an execution unit;

[0120] The matching unit matches the preset relevant information with the required comparison value, including matching the preset energy storage device regulation and evaluation threshold P with the energy storage device regulation and evaluation index Pgzs to obtain a distributed photovoltaic energy storage device adjustment plan;

[0121] The execution unit performs specific execution and notification according to the content of the distributed photovoltaic energy storage equipment adjustment plan. The execution includes regulating the charging adjustment of the energy storage equipment, the discharging adjustment of the energy storage equipment, and the adjustment of the environmental facilities in the working area of ​​the energy storage equipment. The notification includes sending SMS notifications and email notifications to preset contacts, and pop-up prompts on the visual interactive page.

[0122] The distributed photovoltaic energy storage equipment adjustment plan is obtained by matching in the following ways:

[0123] The energy storage equipment regulation and control evaluation index Pgzs is less than the energy storage equipment regulation and control evaluation threshold P, and the energy storage equipment operation status non-regulation evaluation result is obtained, and the energy storage equipment and the environmental facilities in the working area of ​​the energy storage equipment are not regulated;

[0124] The energy storage equipment regulation and control evaluation index Pgzs≥the energy storage equipment regulation and control evaluation threshold P, obtain the energy storage equipment operation status regulation and control evaluation results, regulate the energy storage equipment and the environmental facilities in the working area of ​​the energy storage equipment, including the charging regulation, discharging regulation and environmental facilities regulation of the energy storage equipment. When the energy storage equipment regulation and control evaluation index Pgzs≥twice the energy storage equipment regulation and control evaluation threshold P, obtain the energy storage equipment operation status abnormality evaluation results, send abnormality notifications to the preset relevant inspection and maintenance personnel, and put them on the top of the inspection and maintenance list.

[0125] In this embodiment, the preset energy storage device regulation evaluation threshold P is matched with the energy storage device regulation evaluation index Pgzs to obtain the distributed photovoltaic energy storage device adjustment plan, realize real-time monitoring and adaptive adjustment of the operating status of the energy storage device, and perform regulation according to the preset distributed photovoltaic energy storage device adjustment plan, which helps to ensure that the energy storage device can maintain the best operating state under different conditions and improve energy utilization efficiency.

[0126] Example 5

[0127] A method for the operation and maintenance of distributed photovoltaic energy storage power applied to industry and commerce, please refer to Figure 2 , specifically: including the following steps:

[0128] Step 1: The energy storage device acquisition module collects battery information from the energy storage device, including charge and discharge information, capacity information and temperature information, to form an energy storage battery information group;

[0129] Step 2: The weather analysis module obtains the future fixed-period weather report information of the distributed photovoltaic area through the Internet, extracts it, obtains the weather information of the photovoltaic area, and performs dimensionless processing on the weather information of the photovoltaic area to analyze and obtain: weather energy fluctuation factor Bdyz;

[0130] Step 3: The energy storage connection device acquisition module collects the operating status of the energy storage device input and output devices, including the device operating temperature information and power information, to form a connection information group;

[0131] Step 4: The data processing module preprocesses and integrates the energy storage battery information group and the connector information group to form a first data set and a second data set, and fits them with the weather energy fluctuation factor Bdyz to obtain: energy storage equipment regulation evaluation index Pgzs;

[0132] Step 5: The energy storage device control module matches the preset energy storage device control evaluation threshold P with the energy storage device control evaluation index Pgzs to obtain the distributed photovoltaic energy storage device adjustment plan, and performs specific execution and notification according to the content of the distributed photovoltaic energy storage device adjustment plan.

[0133] In this embodiment, through steps one to five, the energy storage device collection information and the photovoltaic area weather information are processed and calculated to obtain the energy storage device regulation evaluation index Pgzs, and matched with the preset energy storage device regulation evaluation threshold P to obtain the distributed photovoltaic energy storage device adjustment plan, so as to collect the information of the energy storage device and the photovoltaic area, and combine with the weather forecast data to realize the intelligent management and regulation of energy, which helps to optimize the utilization efficiency of energy and reduce energy costs.

[0134] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use, characterized by: It includes energy storage equipment acquisition module, weather analysis module, energy storage connection equipment acquisition module, data processing module and energy storage equipment control module; The energy storage device acquisition module collects battery information of the energy storage device, including charge and discharge information, capacity information and temperature information, to form an energy storage battery information group; The weather analysis module obtains future fixed-period weather report information of the distributed photovoltaic area through the Internet, extracts it, obtains the photovoltaic area weather information, and performs dimensionless processing on the photovoltaic area weather information to analyze and obtain: weather energy fluctuation factor Bdyz; The weather energy fluctuation factor Bdyz is calculated by the following formula: Wherein, Bdyz represents the weather energy fluctuation factor, Gzz represents the illumination duration value, Rcz represents the sunrise time value, Rlz represents the sunset time value, Zwx represents the ultraviolet intensity value, Tqxl represents the weather state sequence value, b1 represents the proportional coefficient of the calculation results of the illumination duration value Gzz, the sunrise time value Rcz and the sunset time value Rlz, b2 represents the proportional coefficient of the calculation results of the illumination duration value Gzz, the sunrise time value Rcz, the sunset time value Rlz ​​and the weather state sequence value Tqxl, and b3 represents the proportional coefficient of the ultraviolet intensity value Zwx; Wherein, 0.21≤b1≤0.39, 0.23≤b2≤0.37, 0.18≤b3≤0.24, and b1+b2+b3≤1.0, C represents the first correction constant; The energy storage connection device acquisition module collects the operating status of the energy storage device input and output devices, including device operating temperature information and electric energy information, to form a connection information group; The data processing module preprocesses and integrates the energy storage battery information group and the connector information group to form a first data set and a second data set, and fits them with the weather energy fluctuation factor Bdyz to obtain: energy storage equipment regulation evaluation index Pgzs; The data processing module includes a preprocessing unit and a fitting unit; The preprocessing unit preprocesses and integrates the energy storage battery information group and the connector information group, wherein the preprocessing includes outlier removal and normalization processing, and integrates the preprocessed energy storage battery information group and the connector information group to form a first data set and a second data set; The first data set includes: a charging voltage value Cdy, a charging current value Cdl, a discharging voltage value Fdy, a discharging current value Fdl, a rated capacity Edrl and a maximum power value Zdgl; The second data set includes: an operating temperature value Yxwd, a minimum temperature value Wmin, a maximum temperature value Wmax, a voltage value Dyz, a current value Dlz and an electric power value Glz; The fitting unit trains the first data set and the second data set by using a linear regression model to obtain: an energy storage device operating state coefficient Cnxs and a connection device operating state coefficient Ljxs, and then uses a polynomial regression model to train and fit the energy storage device operating state coefficient Cnxs, the connection device operating state coefficient Ljxs and the weather energy fluctuation factor Bdyz to obtain: an energy storage device regulation evaluation index Pgzs; The energy storage equipment regulation evaluation index Pgzs is calculated by the following formula: In the formula, Pgzs represents the energy storage equipment regulation evaluation index, Cnxs represents the energy storage equipment operating state coefficient, Ljxs represents the connection equipment operating state coefficient, Bdyz represents the weather energy fluctuation factor, p1, p2 and p3 represent the proportional coefficients of the energy storage equipment operating state coefficient Cnxs, the connection equipment operating state coefficient Ljxs and the weather energy fluctuation factor Bdyz respectively; Wherein, 0.23≤p1≤0.38, 0.19≤p2≤0.36, 0.13≤p3≤0.26, and p1+p2+p3≤1.0, G represents the second correction constant; The energy storage device operating state coefficient Cnxs is calculated by the following formula: Wherein, Cnxs represents the operating state coefficient of the energy storage device, Cdy represents the charging voltage value, Cdl represents the charging current value, Fdy represents the discharging voltage value, Fdl represents the discharging current value, Edrl represents the rated capacity, Zdgl represents the maximum power value, c1 represents the proportional coefficient of the calculation results of the charging voltage value Cdy, the charging current value Cdl, the discharging voltage value Fdy and the discharging current value Fdl, c2 represents the proportional coefficient of the calculation results of the charging voltage value Cdy, the charging current value Cdl, the discharging voltage value Fdy, the discharging current value Fdl and the rated capacity Edrl, and c3 represents the proportional coefficient of the calculation results of the charging voltage value Cdy, the charging current value Cdl and the maximum power value Zdgl; Wherein, 0.18≤c1≤0.35, 0.19≤c2≤0.33, 0.16≤c3≤0.32, and c1+c2+c3≤1.0, and E represents the third correction constant; The connection equipment operation status coefficient Ljxs is calculated by the following formula: Wherein, Ljxs represents the operating state coefficient of the connected equipment, Yxwd represents the operating temperature value, Wmin represents the minimum temperature value, Wmax represents the maximum temperature value, Dyz represents the voltage value, Dlz represents the current value, Glz represents the electric power value, j1 represents the proportional coefficient of the calculation results of the operating temperature value Yxwd, the minimum temperature value Wmin and the maximum temperature value Wmax, j2 represents the proportional coefficient of the calculation results of the voltage value Dyz, the current value Dlz and the electric power value Glz, and j3 represents the proportional coefficient of the calculation results of the minimum temperature value Wmin, the maximum temperature value Wmax, the voltage value Dyz and the current value Dlz; Wherein, 0.23≤j1≤0.37, 0.21≤j2≤0.36, 0.18≤j3≤0.27, and j1+j2+j3≤1.0, K represents the fourth correction constant; The energy storage device control module matches the preset energy storage device control evaluation threshold P with the energy storage device control evaluation index Pgzs, obtains the distributed photovoltaic energy storage device adjustment plan, and performs specific execution and notification according to the content of the distributed photovoltaic energy storage device adjustment plan.

2. According to claim 1, a distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use is characterized by: The energy storage device acquisition module includes a charge and discharge acquisition unit and a storage acquisition unit; The charging and discharging acquisition unit is used to monitor the charging and discharging status of the energy storage device in real time, including the current charging information, discharging information and charging and discharging rate information of the battery; The charging information includes: charging status, charging voltage, charging current and charging power; Discharge information includes: discharge state, discharge voltage, discharge current and discharge power; Charging status includes: charging, charging completed, not charged, not discharged, discharge failure and discharge maintenance; The storage acquisition unit is used to collect capacity information and real-time temperature information of the energy storage device, and synchronously read the inherent information of the energy storage device, including: rated voltage, rated capacity, maximum charging power, maximum discharging power and maximum value of battery cycle charge and discharge times; the capacity information includes: current energy storage battery energy information, remaining energy information and charging status; the temperature information includes: battery surface temperature information, battery internal temperature information and ambient temperature value of the equipment working area; Among them, temperature information is obtained through environmental sensors connected to the working area of ​​the equipment, and charging information, discharging information, charging and discharging rate information, capacity information, real-time temperature information and inherent information of the energy storage device are simultaneously integrated to form an energy storage battery information group.

3. According to claim 1, a distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use is characterized by: The weather analysis module includes a crawling unit and an analysis unit; The crawling unit obtains future fixed-period weather report information of the distributed photovoltaic area by connecting to the Internet, including accessing a weather forecast website or API, and extracting required weather data therefrom, including weather conditions, temperature, wind speed, precipitation, ultraviolet intensity, sunrise time, sunset time, and light duration information, to form photovoltaic area weather information; Among them, weather conditions include: sunny, cloudy, overcast, snowy, rainy and foggy days. By obtaining the preset influence degree sequence value of weather conditions on photovoltaic energy collection, the influence of weather conditions on photovoltaic energy collection is digitized; The analysis unit performs dimensionless processing on the photovoltaic area weather information so that the photovoltaic area weather information is in the same dimension, and uses deep learning technology to analyze the processed photovoltaic area weather information to obtain: weather energy fluctuation factor Bdyz; The processed photovoltaic area weather information includes: illumination duration value Gzz, sunrise time value Rcz, sunset time value Rlz, ultraviolet intensity value Zwx and weather state sequence value Tqxl.

4. According to claim 1, a distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use is characterized by: The energy storage connection device acquisition module includes a connection unit and an extraction unit; The connection unit is used to connect sensors at the input and output ends of the energy storage device to collect device operation status information, including connecting a temperature sensor to obtain device operation temperature information, connecting an electric energy sensor to obtain device operation electric energy information, and transmitting the device operation temperature information and electric energy information to the extraction unit; The extraction unit extracts the equipment operating temperature information and electric energy information, including reading the equipment's operating temperature, minimum temperature, maximum temperature and temperature fluctuation information, extracts the equipment's electric energy consumption information read by the electric energy sensor, including voltage information, current information and power information, converts them into digital or analog signals, and then normalizes them, and then integrates the temperature information and electric energy information to form a connector information group.

5. According to claim 1, a distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use is characterized by: The energy storage device control module includes a matching unit and an execution unit; The matching unit matches the preset relevant information with the required comparison value, including matching the preset energy storage device regulation and evaluation threshold P with the energy storage device regulation and evaluation index Pgzs to obtain a distributed photovoltaic energy storage device adjustment plan; The execution unit performs specific execution and notification according to the content of the distributed photovoltaic energy storage equipment adjustment plan. The execution includes regulating the charging adjustment of the energy storage equipment, the discharging adjustment of the energy storage equipment, and the adjustment of the environmental facilities in the working area of ​​the energy storage equipment. The notification includes sending SMS notifications and email notifications to preset contacts, and pop-up prompts on the visual interactive page.

6. The distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use according to claim 5 is characterized by: The distributed photovoltaic energy storage equipment adjustment plan is obtained by matching in the following ways: The energy storage equipment regulation and control evaluation index Pgzs is less than the energy storage equipment regulation and control evaluation threshold P, and the energy storage equipment operation status non-regulation evaluation result is obtained, and the energy storage equipment and the environmental facilities in the working area of ​​the energy storage equipment are not regulated; The energy storage equipment regulation and control evaluation index Pgzs≥the energy storage equipment regulation and control evaluation threshold P, obtain the energy storage equipment operation status regulation and control evaluation results, regulate the energy storage equipment and the environmental facilities in the working area of ​​the energy storage equipment, including the charging regulation, discharging regulation and environmental facilities regulation of the energy storage equipment. When the energy storage equipment regulation and control evaluation index Pgzs≥twice the energy storage equipment regulation and control evaluation threshold P, obtain the energy storage equipment operation status abnormality evaluation results, send abnormality notifications to the preset relevant inspection and maintenance personnel, and put them on the top of the inspection and maintenance list.

7. A method for distributed photovoltaic energy storage power operation and maintenance for industrial and commercial use, comprising a distributed photovoltaic energy storage power operation and maintenance system for industrial and commercial use as claimed in any one of claims 1 to 6, characterized in that: The following steps are involved: Step 1: The energy storage device acquisition module collects battery information from the energy storage device, including charge and discharge information, capacity information and temperature information, to form an energy storage battery information group; Step 2: The weather analysis module obtains the future fixed-period weather report information of the distributed photovoltaic area through the Internet, extracts it, obtains the weather information of the photovoltaic area, and performs dimensionless processing on the weather information of the photovoltaic area to analyze and obtain: weather energy fluctuation factor Bdyz; Step 3: The energy storage connection device acquisition module collects the operating status of the energy storage device input and output devices, including the device operating temperature information and power information, to form a connection information group; Step 4: The data processing module preprocesses and integrates the energy storage battery information group and the connector information group to form a first data set and a second data set, and fits them with the weather energy fluctuation factor Bdyz to obtain: energy storage equipment regulation evaluation index Pgzs; Step 5: The energy storage device control module matches the preset energy storage device control evaluation threshold P with the energy storage device control evaluation index Pgzs to obtain the distributed photovoltaic energy storage device adjustment plan, and performs specific execution and notification according to the content of the distributed photovoltaic energy storage device adjustment plan.

Images