Photovoltaic energy storage management system based on Internet of Things terminal

Abstract

The invention discloses a photovoltaic energy storage management system based on an Internet of Things terminal, and relates to the technical field of photovoltaic energy storage, and the system comprises a management center which is in communication connection with a photovoltaic energy storage module, an Internet of Things module, a process data processing module and a process evaluation module. Corresponding Internet of Things terminals are arranged on a photovoltaic power generation unit and a photovoltaic energy storage unit respectively, process data of the photovoltaic power generation unit and the photovoltaic energy storage unit are collected in real time, and a photovoltaic energy storage module is decomposed into two independent parts. The method comprises the steps of obtaining process data of a photovoltaic power generation unit and a photovoltaic energy storage unit, performing corresponding stage evaluation on the two independent parts according to the obtained process data to obtain corresponding stage evaluation coefficients, and judging whether the corresponding energy efficiency of the photovoltaic power generation unit and the photovoltaic energy storage unit is normal or not according to the obtained stage evaluation coefficients so as to realize respective monitoring of the two independent parts.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic energy storage technology, and in particular to a photovoltaic energy storage management system based on an Internet of Things terminal. Background Art

[0002] With the rapid development of science and technology and the continuous progress of society, people's living standards and consumption concepts have been continuously improved. At the same time, people are also facing a series of serious environmental pollution and climate deterioration problems such as energy shortage, air pollution, and rising global temperatures. Therefore, the development and utilization of renewable energy has become the focus of global attention; solar energy is widely used in photovoltaic power generation because it has low pollution and is a renewable energy source. However, due to the intermittent, volatile and random characteristics of solar energy affected by natural factors, it is easy to cause power supply imbalance. In order to ensure the power supply reliability of photovoltaic power generation systems, the commonly used measure is to equip photovoltaic power generation systems with energy storage systems.

[0003] In the existing technology, the monitoring of photovoltaic systems usually involves monitoring the performance of photovoltaic panels. In photovoltaic systems, the performance of power generation modules and energy storage modules plays a vital role in the overall operating energy efficiency of photovoltaic power generation systems. How to achieve independent monitoring of the power generation and energy storage parts of photovoltaic systems so that corresponding alarms can be issued in time when abnormalities occur is a problem we need to solve. To this end, a photovoltaic energy storage management system based on the Internet of Things terminal is now provided. Summary of the invention

[0004] The purpose of the present invention is to provide a photovoltaic energy storage management system based on an Internet of Things terminal.

[0005] The object of the present invention can be achieved by the following technical solutions: A photovoltaic energy storage management system based on an Internet of Things terminal includes a management center, wherein the management center is communicatively connected to a photovoltaic energy storage module, an Internet of Things module, a process data processing module, and a process evaluation module;

[0006] The photovoltaic energy storage module includes a plurality of photovoltaic power generation units and photovoltaic energy storage units, wherein the photovoltaic power generation unit is used for photovoltaic power generation, and the photovoltaic energy storage unit is used for storing the electric energy generated by the photovoltaic power generation unit;

[0007] The Internet of Things module is composed of a number of data acquisition terminals, which are arranged at corresponding positions of the photovoltaic power generation unit and the photovoltaic energy storage unit, and are used to collect process data of the photovoltaic power generation unit and the photovoltaic energy storage unit;

[0008] The process data processing module is used to process the process data obtained by each data acquisition terminal and construct a corresponding photovoltaic energy storage model;

[0009] The process evaluation module is used to perform a phased evaluation on the photovoltaic energy storage module according to the constructed photovoltaic energy storage module, and determine whether there is an abnormality in the power generation efficiency and energy storage efficiency of the photovoltaic energy storage module according to the evaluation result.

[0010] Furthermore, the photovoltaic power generation unit is composed of a plurality of photovoltaic power generation panels, and each photovoltaic power generation panel generates electricity to generate electric energy;

[0011] Obtaining basic parameters of each photovoltaic power generation panel, wherein the basic parameters of the photovoltaic power generation panel include area, conversion efficiency and temperature coefficient;

[0012] The photovoltaic power generation unit is electrically connected to the photovoltaic energy storage unit, and the electric energy generated by the photovoltaic power generation unit is stored in the photovoltaic energy storage unit.

[0013] Furthermore, the Internet of Things module is composed of a plurality of data acquisition terminals, which are arranged at corresponding positions of the photovoltaic power generation unit and the photovoltaic energy storage unit. The process of collecting process data of the photovoltaic power generation unit and the photovoltaic energy storage unit includes:

[0014] A corresponding data acquisition terminal is set on each photovoltaic power generation panel, and process data of each photovoltaic power generation panel is obtained through the set data acquisition terminal, wherein the process data includes the light intensity received by the photovoltaic power generation panel, the surface temperature of the photovoltaic power generation panel, and the current generated by the photovoltaic power generation unit;

[0015] A corresponding data acquisition terminal is provided on the photovoltaic energy storage unit to obtain process data of the photovoltaic energy storage unit, wherein the process data of the photovoltaic energy storage unit includes input current, output current and residual electric energy.

[0016] Furthermore, the process data processing module processes the process data obtained by each data acquisition terminal to construct a corresponding photovoltaic energy storage model, which includes:

[0017] A light intensity variation curve generated according to the light intensity received by each photovoltaic panel;

[0018] Construct a two-dimensional coordinate system of time with respect to light intensity, and map the light intensity variation curves corresponding to each photovoltaic panel generated into the two-dimensional coordinate system;

[0019] Setting a light intensity threshold in the two-dimensional coordinate system;

[0020] Mark the portion of the light intensity change curve that exceeds the set light intensity threshold to obtain the corresponding effective light curve segment;

[0021] Get the duration and light intensity of each valid light curve segment;

[0022] Thereby obtaining the effective amount of light received by the photovoltaic panels;

[0023] Generate a power generation virtual module for the photovoltaic power generation unit, map the obtained effective light intensity to the power generation virtual module, and set a light intensity threshold for the power generation virtual module;

[0024] When the effective amount of light obtained reaches the light threshold of the power generation virtual module, the power generation efficiency of the photovoltaic power generation unit is evaluated in stages to obtain the corresponding power generation stage evaluation coefficient.

[0025] Furthermore, a virtual energy storage module is generated for the photovoltaic energy storage unit to obtain the current generated by the photovoltaic power generation unit in the time period corresponding to each effective light curve segment;

[0026] The theoretical electric energy growth is obtained according to the input current, output current and residual electric energy of the photovoltaic energy storage unit in the time period corresponding to each effective light curve segment;

[0027] The energy storage efficiency of the photovoltaic energy storage unit is evaluated periodically according to the theoretical electric energy growth, and the corresponding energy storage periodic evaluation coefficient is obtained.

[0028] Furthermore, the process of conducting a phased evaluation of the power generation efficiency of the photovoltaic power generation unit includes:

[0029] According to the obtained effective light intensity, the current generated by the photovoltaic power generation unit and the surface temperature of the photovoltaic power generation panel, the corresponding power generation stage evaluation coefficient Fp is obtained;

[0030] Set the power generation assessment threshold F0;

[0031] When Fp ≥ F0, it means that the power generation efficiency of the photovoltaic power generation unit is normal;

[0032] When Fp<F0, it means that the power generation efficiency of the photovoltaic power generation unit is abnormal, and the power generation unit abnormal alarm information is generated.

[0033] Furthermore, the process of conducting a phased evaluation of the energy storage efficiency of the photovoltaic energy storage unit includes:

[0034] Obtain the corresponding energy storage phase evaluation coefficient Cp according to the theoretical electric energy growth, output current and residual electric energy of the photovoltaic energy storage unit;

[0035] Set the energy storage assessment threshold C0;

[0036] When Cp ≥ C0, it means that the energy storage efficiency of the photovoltaic energy storage unit is normal;

[0037] When Cp<C0, it means that the energy storage efficiency of the photovoltaic energy storage unit is abnormal, and an abnormal alarm information of the energy storage unit is generated.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1. By setting corresponding IoT terminals in the photovoltaic power generation unit and the photovoltaic energy storage unit, the process data of the photovoltaic power generation unit and the photovoltaic energy storage unit are collected in real time. By decomposing the photovoltaic energy storage module into two independent parts, the two independent parts are evaluated in stages according to the obtained process data to obtain the corresponding stage evaluation coefficients. According to the obtained stage evaluation coefficients, it is judged whether the corresponding energy efficiency of the photovoltaic power generation unit and the photovoltaic energy storage unit is normal, thereby realizing the separate monitoring of the two independent parts;

[0040] 2. By constructing a corresponding power generation virtual module for the photovoltaic power generation unit and setting a light intensity threshold for the power generation virtual module, the evaluation time for the photovoltaic power generation unit and the photovoltaic energy storage unit is determined by the set light intensity threshold, so that the evaluation cycle for the photovoltaic energy storage module is a dynamic cycle, avoiding the generation of a large amount of useless data in a fixed cycle, thereby increasing the system load and improving the utilization of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0042] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0043] like Figure 1 As shown, a photovoltaic energy storage management system based on an Internet of Things terminal includes a management center, and the management center is communicatively connected to a photovoltaic energy storage module, an Internet of Things module, a process data processing module, and a process evaluation module;

[0044] The photovoltaic energy storage module includes a plurality of photovoltaic power generation units and photovoltaic energy storage units, wherein the photovoltaic power generation unit is used for photovoltaic power generation, and the photovoltaic energy storage unit is used for storing the electric energy generated by the photovoltaic power generation unit;

[0045] The Internet of Things module is composed of a number of data acquisition terminals, which are arranged at corresponding positions of the photovoltaic power generation unit and the photovoltaic energy storage unit, and are used to collect process data of the photovoltaic power generation unit and the photovoltaic energy storage unit;

[0046] The process data processing module is used to process the process data obtained by each data acquisition terminal and construct a corresponding photovoltaic energy storage model;

[0047] The process evaluation module is used to perform a phased evaluation on the photovoltaic energy storage module according to the constructed photovoltaic energy storage module, and determine whether there is an abnormality in the power generation efficiency and energy storage efficiency of the photovoltaic energy storage module according to the evaluation result.

[0048] It should be further explained that, in the specific implementation process, the photovoltaic power generation unit is composed of a plurality of photovoltaic power generation panels, and the basic parameters of each photovoltaic power generation panel are obtained, and the basic parameters of the photovoltaic power generation panel include area, conversion efficiency and temperature coefficient;

[0049] Generate electricity through various photovoltaic panels;

[0050] The photovoltaic power generation unit is electrically connected to the photovoltaic energy storage unit, and the electric energy generated by the photovoltaic power generation unit is stored in the photovoltaic energy storage unit.

[0051] It should be further explained that, in the specific implementation process, the Internet of Things module is composed of a number of data acquisition terminals, which are arranged at the corresponding positions of the photovoltaic power generation unit and the photovoltaic energy storage unit. The process of collecting process data of the photovoltaic power generation unit and the photovoltaic energy storage unit includes:

[0052] Each photovoltaic panel is labeled as i, where i = 1, 2, ..., n, n is an integer, and n ≥ 1;

[0053] A corresponding data acquisition terminal is set on each photovoltaic power generation panel, and process data of each photovoltaic power generation panel is obtained through the set data acquisition terminal, wherein the process data includes the light intensity received by the photovoltaic power generation panel, the surface temperature of the photovoltaic power generation panel, and the current generated by the photovoltaic power generation unit;

[0054] The light intensity received by each photovoltaic panel of the photovoltaic power generation unit is recorded as Gq;

[0055] It should be further explained that, in the specific implementation process, the light intensity received by each photovoltaic power generation panel of the same photovoltaic power generation unit is the same by default, and the specifications are the same;

[0056] The surface temperature of the photovoltaic panel labeled i is recorded as Bw i ;

[0057] The current generated by the photovoltaic power generation unit is recorded as Gd;

[0058] A corresponding data acquisition terminal is arranged on the photovoltaic energy storage unit to obtain process data of the photovoltaic energy storage unit, wherein the process data of the photovoltaic energy storage unit includes input current, output current and residual electric energy;

[0059] The input current, output current and residual electric energy of the photovoltaic energy storage unit are recorded as Sr, Sc and Qs respectively;

[0060] The obtained process data of the photovoltaic power generation unit and the photovoltaic energy storage unit are uploaded to the process data processing module.

[0061] It should be further explained that, in the specific implementation process, the process data processing module processes the process data obtained by each data acquisition terminal, and the process of constructing the corresponding photovoltaic energy storage model includes:

[0062] A light intensity variation curve generated according to the light intensity received by each photovoltaic panel;

[0063] Construct a two-dimensional coordinate system of time with respect to light intensity, and map the light intensity variation curves corresponding to each photovoltaic panel generated into the two-dimensional coordinate system;

[0064] Setting a light intensity threshold in the two-dimensional coordinate system;

[0065] Mark the portion of the light intensity change curve that exceeds the set light intensity threshold to obtain the corresponding effective light curve segment;

[0066] The obtained effective illumination curve segments are labeled as j, where j = 0, 1, 2, ..., m;

[0067] The duration of the effective illumination curve segment labeled j is recorded as T j , and the light intensity is recorded as Gq j ;

[0068] The effective amount of light received by the photovoltaic panel is obtained according to the obtained effective light curve segment, which is recorded as Yg;

[0069] in

[0070] Generate a power generation virtual module for the photovoltaic power generation unit, map the obtained effective light intensity to the power generation virtual module, and set a light intensity threshold for the power generation virtual module;

[0071] When the effective amount of light obtained reaches the light threshold of the power generation virtual module, the power generation efficiency of the photovoltaic power generation unit is evaluated in stages to obtain the corresponding power generation stage evaluation coefficient;

[0072] By constructing a corresponding power generation virtual module for the photovoltaic power generation unit and setting a light intensity threshold for the power generation virtual module, the evaluation time for the photovoltaic power generation unit and the photovoltaic energy storage unit is determined by the set light intensity threshold, so that the evaluation cycle for the photovoltaic energy storage module is a dynamic cycle, avoiding the generation of a large amount of useless data in a fixed cycle, thereby increasing the system load and improving the utilization rate of data;

[0073] According to the obtained power generation stage evaluation coefficient, it is judged whether there is an abnormality in the power generation efficiency of the photovoltaic power generation unit. If there is an abnormality, the corresponding abnormal alarm information is generated, and the abnormal alarm information is mapped to the power generation virtual module;

[0074] Generate energy storage virtual modules for photovoltaic energy storage units;

[0075] The current generated by the photovoltaic power generation unit in the time period corresponding to the effective illumination curve segment labeled j is recorded as Sr j It should be further explained that, in the present invention, the current generated by the photovoltaic power generation unit is assumed to be the same as the input current of the photovoltaic energy storage unit, and the line loss is ignored;

[0076] According to the input current, output current and residual electric energy of the photovoltaic energy storage unit in the time period corresponding to each effective light curve segment, the theoretical electric energy growth is obtained, which is recorded as Dz;

[0077] in

[0078] Where δ is the energy storage efficiency of the photovoltaic energy storage unit, t j represents the time period corresponding to the effective illumination curve segment labeled j, ∫Sr j dt j represents the time integral of the current in the time period corresponding to the effective illumination curve segment labeled j;

[0079] According to the obtained theoretical electric energy growth, the energy storage efficiency of the photovoltaic energy storage unit is evaluated in stages to obtain the corresponding energy storage stage evaluation coefficient. According to the obtained energy storage stage evaluation coefficient, it is judged whether there is any abnormality in the energy storage efficiency. If there is any abnormality, the corresponding abnormal alarm information is generated and the abnormal alarm is mapped to the energy storage virtual module.

[0080] It should be further explained that, in the specific implementation process, the process of conducting a phased evaluation of the power generation efficiency of the photovoltaic power generation unit includes:

[0081] According to the effective amount of light obtained, the current generated by the photovoltaic power generation unit and the surface temperature of the photovoltaic power generation panel, the corresponding power generation stage evaluation coefficient is obtained, which is recorded as Fp;

[0082] in

[0083] Among them, γ is the conversion efficiency of the photovoltaic power generation unit, Bw j represents the surface temperature of the photovoltaic panel in the time period corresponding to the effective illumination curve segment labeled j, and W0 is the standard operating temperature of the photovoltaic panel;

[0084] Set the power generation assessment threshold F0;

[0085] When Fp ≥ F0, it means that the power generation efficiency of the photovoltaic power generation unit is normal;

[0086] When Fp<F0, it means that the power generation efficiency of the photovoltaic power generation unit is abnormal, and the power generation unit abnormal alarm information is generated.

[0087] It should be further explained that, in the specific implementation process, the process of conducting a phased evaluation of the energy storage efficiency of the photovoltaic energy storage unit includes:

[0088] According to the theoretical electric energy growth, output current and residual electric energy of the photovoltaic energy storage unit, the corresponding energy storage stage evaluation coefficient is obtained, which is recorded as Cp;

[0089] in

[0090] Where Qs 当前 Indicates the remaining electrical energy of the photovoltaic energy storage unit at the moment when the effective light intensity reaches the light intensity threshold of the power generation virtual module, Qs 初始 represents the residual electric energy of the photovoltaic energy storage unit at the initial moment, μ represents the electric energy output loss, ∫Scdt 总 Represents the integral of the output current over the total time from the initial moment to the current moment;

[0091] Set the energy storage assessment threshold C0;

[0092] When Cp ≥ C0, it means that the energy storage efficiency of the photovoltaic energy storage unit is normal;

[0093] When Cp<C0, it means that the energy storage efficiency of the photovoltaic energy storage unit is abnormal, and an abnormal alarm information of the energy storage unit is generated;

[0094] By setting corresponding Internet of Things terminals in the photovoltaic power generation unit and the photovoltaic energy storage unit respectively, the process data of the photovoltaic power generation unit and the photovoltaic energy storage unit are collected in real time, and the photovoltaic energy storage module is decomposed into two independent parts, and then the two independent parts are evaluated in stages according to the obtained process data to obtain the corresponding stage evaluation coefficients. According to the obtained stage evaluation coefficients, it is judged whether the corresponding energy efficiency of the photovoltaic power generation unit and the photovoltaic energy storage unit is normal, thereby realizing the separate monitoring of the two independent parts.

[0095] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments with equivalent changes without departing from the scope of the technical solution of the present invention. However, any modification or equivalent replacement of the above embodiments made according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of the technical solution of the present invention.

Claims

1. A photovoltaic energy storage management system based on an Internet of Things terminal, including a management center, characterized in that: The management center is communicatively connected to a photovoltaic energy storage module, an Internet of Things module, a process data processing module, and a process evaluation module; The photovoltaic energy storage module includes a plurality of photovoltaic power generation units and photovoltaic energy storage units, wherein the photovoltaic power generation unit is used for photovoltaic power generation, and the photovoltaic energy storage unit is used for storing the electric energy generated by the photovoltaic power generation unit; The Internet of Things module is composed of a number of data acquisition terminals, which are arranged at corresponding positions of the photovoltaic power generation unit and the photovoltaic energy storage unit, and are used to collect process data of the photovoltaic power generation unit and the photovoltaic energy storage unit; The process data processing module is used to process the process data obtained by each data acquisition terminal and construct a corresponding photovoltaic energy storage model; The process evaluation module is used to perform a phased evaluation on the photovoltaic energy storage module according to the constructed photovoltaic energy storage module, and determine whether there is an abnormality in the power generation efficiency and energy storage efficiency of the photovoltaic energy storage module according to the evaluation result.

2. The photovoltaic energy storage management system based on the Internet of Things terminal according to claim 1 is characterized in that: The photovoltaic power generation unit is composed of a plurality of photovoltaic power generation panels, and each photovoltaic power generation panel generates electricity to generate electric energy; Obtaining basic parameters of each photovoltaic power generation panel, wherein the basic parameters of the photovoltaic power generation panel include area, conversion efficiency and temperature coefficient; The photovoltaic power generation unit is electrically connected to the photovoltaic energy storage unit, and the electric energy generated by the photovoltaic power generation unit is stored in the photovoltaic energy storage unit.

3. The photovoltaic energy storage management system based on the Internet of Things terminal according to claim 2 is characterized in that: The Internet of Things module is composed of a number of data acquisition terminals, which are arranged at corresponding positions of the photovoltaic power generation unit and the photovoltaic energy storage unit. The process of collecting process data of the photovoltaic power generation unit and the photovoltaic energy storage unit includes: A corresponding data acquisition terminal is set on each photovoltaic power generation panel, and process data of each photovoltaic power generation panel is obtained through the set data acquisition terminal, wherein the process data includes the light intensity received by the photovoltaic power generation panel, the surface temperature of the photovoltaic power generation panel, and the current generated by the photovoltaic power generation unit; A corresponding data acquisition terminal is provided on the photovoltaic energy storage unit to obtain process data of the photovoltaic energy storage unit, wherein the process data of the photovoltaic energy storage unit includes input current, output current and residual electric energy.

4. The photovoltaic energy storage management system based on the Internet of Things terminal according to claim 3 is characterized in that: The process data processing module processes the process data obtained by each data acquisition terminal to construct a corresponding photovoltaic energy storage model, including: A light intensity variation curve generated according to the light intensity received by each photovoltaic panel; Construct a two-dimensional coordinate system of time with respect to light intensity, and map the light intensity variation curves corresponding to each photovoltaic panel generated into the two-dimensional coordinate system; Setting a light intensity threshold in the two-dimensional coordinate system; Mark the portion of the light intensity change curve that exceeds the set light intensity threshold to obtain the corresponding effective light curve segment; Get the duration and light intensity of each valid light curve segment; Thereby obtaining the effective amount of light received by the photovoltaic panels; Generate a power generation virtual module for the photovoltaic power generation unit, map the obtained effective light intensity to the power generation virtual module, and set a light intensity threshold for the power generation virtual module; When the effective amount of light obtained reaches the light threshold of the power generation virtual module, the power generation efficiency of the photovoltaic power generation unit is evaluated in stages to obtain the corresponding power generation stage evaluation coefficient.

5. The photovoltaic energy storage management system based on the Internet of Things terminal according to claim 4 is characterized in that: Generate an energy storage virtual module for the photovoltaic energy storage unit to obtain the current generated by the photovoltaic power generation unit in the time period corresponding to each effective light curve segment; The theoretical electric energy growth is obtained according to the input current, output current and residual electric energy of the photovoltaic energy storage unit in the time period corresponding to each effective light curve segment; The energy storage efficiency of the photovoltaic energy storage unit is evaluated periodically according to the theoretical electric energy growth, and the corresponding energy storage periodic evaluation coefficient is obtained.

6. The photovoltaic energy storage management system based on the Internet of Things terminal according to claim 5 is characterized in that: The process of conducting a phased evaluation of the power generation efficiency of a photovoltaic power generation unit includes: According to the obtained effective light intensity, the current generated by the photovoltaic power generation unit and the surface temperature of the photovoltaic power generation panel, the corresponding power generation stage evaluation coefficient Fp is obtained; Set the power generation assessment threshold F0; When Fp ≥ F0, it means that the power generation efficiency of the photovoltaic power generation unit is normal; When Fp<F0, it means that the power generation efficiency of the photovoltaic power generation unit is abnormal, and the power generation unit abnormal alarm information is generated.

7. The photovoltaic energy storage management system based on the Internet of Things terminal according to claim 6 is characterized in that: The process of conducting a phased evaluation of the energy storage efficiency of a photovoltaic energy storage unit includes: Obtain the corresponding energy storage phase evaluation coefficient Cp according to the theoretical electric energy growth, output current and residual electric energy of the photovoltaic energy storage unit; Set the energy storage assessment threshold C0; When Cp ≥ C0, it means that the energy storage efficiency of the photovoltaic energy storage unit is normal; When Cp<C0, it means that the energy storage efficiency of the photovoltaic energy storage unit is abnormal, and an abnormal alarm information of the energy storage unit is generated.

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