A Photovolraic System Capable of Diagnosing State

Abstract

The present invention relates to a photovoltaic system, and more specifically, to a photovoltaic system capable of diagnosing the condition of a photovoltaic device or an ESS device by precisely observing the degree of change in the state value of the photovoltaic device or ESS device to distinguish and determine a fault state, a state requiring inspection, or a state requiring replacement, thereby enabling accurate diagnosis of the condition of the photovoltaic device or ESS device, and by precisely observing any one of the conditions of the power generation performance of the photovoltaic device, the charging / discharging speed of the ESS device, temperature, and maximum charge amount to enable accurate diagnosis of various conditions of the device.

Description

Technology Field

[0001] The present invention relates to a photovoltaic system, and more specifically, to a photovoltaic system capable of diagnosing the condition of a photovoltaic device or an ESS device by precisely observing the degree of change in the state value of the photovoltaic device or ESS device to distinguish and determine a fault state, a state requiring inspection, or a state requiring replacement, thereby enabling accurate diagnosis of the condition of the photovoltaic device or ESS device, and by precisely observing any one of the conditions of the power generation performance of the photovoltaic device, the charging / discharging speed of the ESS device, temperature, and maximum charge amount to enable accurate diagnosis of various conditions of the device. Background Technology

[0002] Solar power generation, a sector of renewable energy, has seen a recent surge in demand due to its many advantages, and technologies to increase power generation efficiency have also been advancing significantly. In particular, solar power generation devices are being installed in various forms, such as on building rooftops, on water, and as building-integrated photovoltaic (BIPV) systems that are integrated with the building. The generated electricity is stored in ESS devices and supplied when needed.

[0003] However, solar power generation devices are always exposed to the external environment, which poses a high risk of failure; they also have the characteristics of significant fluctuations in power generation depending on the external environment and easily experience performance degradation.

[0004] In addition, ESS devices that store generated power are sensitive to the environment and temperature, which can easily lead to performance degradation and a high risk of fire due to heat generation.

[0005] Therefore, above all, it is important to diagnose the condition of solar power generation devices and ESS devices and ensure proper maintenance is performed; however, as shown in the patent document below, it is difficult to accurately diagnose the condition of environmentally sensitive solar power generation devices and ESS devices by simply diagnosing the condition using voltage and current.

[0006] (Patent Document) Registered Patent Publication No. 10-2292748 (Registered Aug. 17, 2021) "Solar photovoltaic power generation and control system, and method of operating a solar photovoltaic power generation and control system" The problem to be solved

[0007] The present invention has been devised to solve the above-mentioned problems,

[0008] The present invention aims to provide a photovoltaic system capable of condition diagnosis that enables accurate diagnosis of the condition of a photovoltaic device or ESS by precisely observing the degree of change in the condition value of the photovoltaic device or ESS and distinguishing and determining a fault condition, a condition requiring inspection, or a condition requiring replacement.

[0009] The present invention aims to provide a solar power system capable of diagnosing the condition of a device by precisely observing and diagnosing any one of the following: the power generation performance of the solar power device, the charging and discharging speed of the ESS device, the temperature, and the maximum charge amount, thereby enabling accurate diagnosis of various conditions of the device.

[0010] The present invention aims to provide a solar power system capable of condition diagnosis that can derive optimal installation conditions by predicting the power generation and electricity consumption of a newly installed solar power system and determining the specifications and number of solar power devices and ESS devices. means of solving the problem

[0011] The present invention is implemented by an embodiment having the following configuration to achieve the aforementioned objective.

[0012] According to one embodiment of the present invention, a solar power system capable of diagnosing the state according to the present invention comprises: a solar power device that produces power by solar energy; an ESS device that stores power produced by the solar power device and supplies the stored power to a load; and a management server that manages the operation of the system, wherein the management server is characterized by diagnosing the failure state, inspection required state, and replacement required state of the solar power device or ESS device according to the degree of change in the state value of the solar power device or ESS device.

[0013] According to another embodiment of the present invention, in a photovoltaic system capable of state diagnosis according to the present invention, the management server comprises: a state diagnosis unit that diagnoses the ratio of the current state to the normal state of a photovoltaic device or ESS device as a state value; a fault diagnosis unit that diagnoses a fault in the photovoltaic device or ESS device when the degree of change of the state value diagnosed by the state diagnosis unit continuously reaches a degree of change diagnosed as a fault; an inspection diagnosis unit that determines that an inspection is required of the photovoltaic device or ESS device when the degree of change of the state value repeatedly reaches a certain range below the degree of change diagnosed as a fault; and a replacement diagnosis unit that determines that a replacement of the photovoltaic device or ESS device is required when the state value is less than a set reference value.

[0014] According to another embodiment of the present invention, in a photovoltaic system capable of state diagnosis according to the present invention, the fault diagnosis unit comprises a state value receiving module that receives a state value of a photovoltaic device or an ESS device at a fixed time interval; a change rate calculation module that calculates the degree of change of the state value between fixed time intervals; a continuous arrival determination module that determines whether the degree of change for the time unit immediately preceding the next time unit reaches the degree of change capable of diagnosing a fault when the calculated degree of change reaches the degree of change capable of diagnosing a fault; a count calculation module that calculates the number of consecutive times the degree of change diagnosed as a fault is reached by the continuous arrival determination module; and a fault determination module that determines a fault in the photovoltaic device or ESS device when the calculated consecutive count exceeds a reference count. The inspection diagnosis unit comprises a change rate loading module that retrieves change rate information calculated by the change rate calculation module; an inspection range recognition module that recognizes that the retrieved change rate reaches a certain range equal to or less than the change rate diagnosed as a fault; and a change rate for the time unit immediately preceding the inspection range after reaching the inspection range It is characterized by including a frequency calculation module that calculates the frequency of time units reaching the inspection range, and an inspection judgment module that determines that an inspection of the solar power device or ESS device is required when the calculated frequency exceeds the reference frequency.

[0015] According to another embodiment of the present invention, in a photovoltaic system capable of state diagnosis according to the present invention, the state diagnosis unit comprises a power generation indicator calculation module that calculates a power generation indicator representing a state value for the power generation performance of a photovoltaic device, wherein the power generation indicator calculation module comprises a power generation information collection module that collects power generation information of a photovoltaic device, an environment information collection module that collects environmental information around a photovoltaic device, a power generation analysis module that analyzes the correlation between the surrounding environment and the power generation amount of the photovoltaic device in an initial steady state, a power generation prediction module that predicts the power generation amount in a steady state of the photovoltaic device using the analyzed correlation, and a power generation indicator calculation module that calculates a power generation indicator according to the ratio of the predicted power generation amount in a steady state to the current power generation amount.

[0016] According to another embodiment of the present invention, in a photovoltaic system capable of state diagnosis according to the present invention, the state diagnosis unit comprises a speed indicator calculation module that calculates a speed indicator representing a state value for the charging and discharging speed of an ESS device, wherein the speed indicator calculation module comprises a speed information collection module that collects charging and discharging speed information of the ESS device, a normal speed setting module that sets a normal speed for the initial charging and discharging of the ESS device, a speed information comparison module that compares the initial normal speed of the ESS device with the current charging and discharging speed, and a speed indicator calculation module that calculates a speed indicator according to the ratio of the current charging and discharging speed to the initial normal speed.

[0017] According to another embodiment of the present invention, in a photovoltaic system capable of state diagnosis according to the present invention, the state diagnosis unit comprises a temperature index calculation module that calculates a temperature index representing a state value for the temperature of an ESS device, wherein the temperature index calculation module comprises a temperature information collection module that collects temperature information of the ESS device, a charge / discharge amount collection module that collects information regarding the charge / discharge amount of the ESS device, an ambient temperature collection module that collects ambient temperature information of the ESS device, a temperature information analysis module that analyzes the correlation between the charge / discharge amount and the ambient temperature and the temperature information in a normal state of the ESS device, a normal temperature setting module that inputs the charge / discharge amount and ambient temperature information of the ESS device into the correlation analyzed by the temperature information analysis module to derive the normal state temperature, a temperature information comparison module that compares the normal temperature set by the normal temperature setting module with the current temperature of the ESS device, and a temperature index calculation module that calculates the temperature index according to the ratio of the current temperature to the normal temperature of the ESS device.

[0018] According to another embodiment of the present invention, in a photovoltaic system capable of state diagnosis according to the present invention, the state diagnosis unit comprises a charging ratio calculation module that calculates a charging index representing a state value for the maximum charging amount of an ESS device, wherein the charging index calculation module comprises an initial information collection module that collects information regarding the initial maximum charging amount of the ESS device, a buffer information collection module that collects information regarding the current fully charged amount of the ESS device, a buffer information comparison module that compares the initial maximum charging amount with the current fully charged amount, and a charging index calculation module that calculates a charging index according to the ratio of the current fully charged amount to the initial maximum charging amount.

[0019] According to another embodiment of the present invention, in a photovoltaic system capable of condition diagnosis according to the present invention, the management server comprises a prediction control unit that predicts the power generation amount of a photovoltaic device and the power consumption amount of a load per unit time during a set reference time and controls the charging and discharging of an ESS device, and a condition derivation unit that derives installation conditions for a new photovoltaic system using information analyzed by the prediction control unit. The prediction control unit comprises a power generation prediction module that predicts the power generation amount per unit time by analyzing the correlation between environmental information and the power generation amount, a power consumption prediction module that predicts the power consumption amount per unit time by analyzing the correlation between the surrounding environment and time characteristics and the power consumption amount, and a charge / discharge control module that controls the charging and discharging of an ESS device by comparing the power generation amount and power consumption amount per unit time. The condition derivation unit comprises a device condition setting module that sets the specifications and number of photovoltaic devices by comparing the power cost and installation cost according to the specifications and number of photovoltaic devices included in the new photovoltaic system.

[0020] According to another embodiment of the present invention, in a photovoltaic system capable of condition diagnosis according to the present invention, the device condition setting module comprises: a power generation device setting module for setting the specifications and number of photovoltaic devices that can be installed in a new photovoltaic system; a weather information receiving module for receiving weather information for a certain period regarding the location where the new photovoltaic system is to be installed; a power generation amount estimation module for estimating the amount of power generated per unit time based on the received environmental information; a usage information collection module for collecting power usage information for loads to be connected to the photovoltaic system for a certain period; a cost reduction calculation module for calculating the cost reduction of electricity charges based on the amount of power generated and power usage according to the specifications and number of photovoltaic devices; an installation cost calculation module for calculating the installation cost according to the specifications and number of photovoltaic devices; and a power generation device determination module for determining the specifications and number of photovoltaic devices by comparing the cost reduction and the installation cost.

[0021] According to another embodiment of the present invention, in a photovoltaic system capable of state diagnosis according to the present invention, the photovoltaic device is formed in a plurality of units so as to allow each photovoltaic device to be individually connected, and the prediction control unit includes a connection setting module that adjusts the connection of each photovoltaic device per unit time when the predicted power generation amount per unit time exceeds the power consumption amount so that all power generation amount is stored in the ESS device, and the condition derivation unit includes an ESS setting module that sets the capacity and number of ESS devices, and the ESS setting module includes a basic information loading module that retrieves the power generation amount per unit time estimated by the power generation estimation module and power consumption information collected by the consumption information collection module, a connection information prediction module that predicts information on the disconnection of the photovoltaic device by the connection setting module based on the retrieved power generation amount per unit time, power consumption amount, and the capacity of the ESS device, an operation cost calculation module that calculates the power cost and the installation cost of the ESS device according to the capacity of the ESS device based on the power generation amount wasted due to disconnection, and so as to minimize the sum of the power cost and the installation cost. It is characterized by including an ESS device determination module that determines the capacity and number of ESS devices. Effects of the invention

[0022] The present invention can achieve the following effects through the combination and usage relationship of the embodiments described above and the configuration described below.

[0023] The present invention has the effect of enabling accurate diagnosis of the condition of a solar power device or ESS device by precisely observing the degree of change in the condition value of the solar power device or ESS device and distinguishing and determining a fault condition, a condition requiring inspection, or a condition requiring replacement.

[0024] The present invention has the effect of enabling accurate diagnosis of various states of the device by precisely observing and diagnosing any one of the states of the power generation performance of the photovoltaic device, the charging and discharging speed of the ESS device, temperature, and maximum charge amount.

[0025] The present invention has the effect of enabling the derivation of optimal installation conditions by predicting the power generation and electricity consumption of a newly installed solar power system and determining the specifications and number of solar power devices and ESS devices. Brief explanation of the drawing

[0026] FIG. 1 is a configuration diagram of a photovoltaic system capable of condition diagnosis according to an embodiment of the present invention. Figure 2 is a block diagram showing the configuration of a management server. FIG. 3 is a block diagram showing the configuration of the condition diagnosis unit. Figure 4 is a block diagram showing the configuration of the power generation indicator calculation module. Figure 5 is a block diagram showing the configuration of the speed indicator calculation module. Figure 6 is a block diagram showing the configuration of the temperature index calculation module. Figure 7 is a block diagram showing the configuration of a charging indicator calculation module. FIG. 8 is a block diagram showing the configuration of the fault diagnosis unit FIG. 9 is a block diagram showing the configuration of the inspection and diagnosis unit. FIG. 10 is a block diagram showing the configuration of the replacement diagnosis unit. FIG. 11 is a block diagram showing the configuration of the prediction control unit FIG. 12 is a block diagram showing the configuration of a power generation prediction module. FIG. 13 is a block diagram showing the configuration of the usage prediction module. FIG. 14 is a block diagram showing the configuration of a connection setting module. FIG. 15 is a block diagram showing the configuration of the device control unit. Figure 16 is a block diagram showing the configuration of the ESS analysis unit. FIG. 17 is a block diagram showing the configuration of a charge / discharge count calculation module. FIG. 18 is a block diagram showing the configuration of the failure index calculation module. FIG. 19 is a block diagram showing the configuration of a temperature index calculation module. FIG. 20 is a block diagram showing the configuration of the ESS control unit FIG. 21 is a block diagram showing the configuration of the condition derivation unit Specific details for implementing the invention

[0027] Preferred embodiments of a photovoltaic system capable of condition diagnosis according to the present invention will be described in detail below with reference to the accompanying drawings. In describing the present invention below, if it is determined that a detailed description of known functions or configurations may unnecessarily obscure the essence of the present invention, such detailed description will be omitted. Throughout the specification, when a part is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Furthermore, terms such as "...part," "...module," etc., described in the specification refer to a unit that processes at least one function or operation, and this may be implemented in hardware, software, or a combination of hardware and software.

[0029] A solar power system capable of diagnosing a state according to one embodiment of the present invention is described with reference to FIGS. 1 to 21. The solar power system comprises: a solar power device (1) that produces power by solar energy; an ESS device (2) that stores power produced by the solar power device (1) and supplies the stored power to a load; and a management server (3) that manages the operation of the system.

[0030] The solar power system according to the present invention relates to a system that stores electricity produced by solar power and supplies it to a load. It produces electricity by installing a solar power device (1) in a building, public facility, etc., stores the produced electricity in an ESS device (2), and supplies it to a load in the building, public facility, etc. If the electricity in the ESS device (2) is insufficient, it receives electricity from the grid and supplies it to the load.

[0031] In particular, the above-described solar power system enables precise diagnosis of the failure status of the solar power device (1) and the ESS device (2), and specifically enables precise diagnosis by distinguishing between the failure status of the solar power device (1) or the ESS device (2), the status requiring frequent inspection of abnormalities, and the status requiring replacement due to the end of its lifespan, thereby enabling accurate identification of the status and response. In addition, the above-described management server (3) enables precise diagnosis of the power generation performance of the solar power device (1), the charging and discharging speed of the ESS device (2), the operating temperature, and the maximum charging amount, respectively, thereby enabling more accurate identification of the status of each device.

[0032] In addition, in the case of existing solar power systems, if there is a shortage of remaining space in the ESS device (2) when there is a surplus of power generated due to low power consumption of the load, the surplus power flows back into the grid and disrupts the grid power. In particular, in facilities such as schools, companies, and factories, power consumption decreases rapidly during holidays and weekends, and problems caused by surplus power generation occur frequently.

[0033] Accordingly, in the present invention, a plurality of solar power devices (1) are formed, and the connection with each solar power device (1) is adjusted according to the occurrence of surplus power generation, thereby preventing the surplus power generation from flowing back into the grid. The backflow can be prevented simply by automatically adjusting the connection with the solar power device (1) without the need to trip a separate circuit breaker for management, and continuous operation can be enabled without the need to stop the operation of the solar power device (1).

[0034] In addition, the above-mentioned solar power system can improve the economic efficiency of the solar power system by predicting the amount of power generated by the solar power device (1) and the amount of power consumed by the load to control charging and discharging, and by utilizing the prediction information to determine the specifications and number of solar power devices () and ESS devices () for the newly installed solar power system.

[0035] The above-described solar power device (1) is configured to produce electricity using sunlight and can be installed in various buildings or public facilities, such as schools, companies, and factories, to supply the produced electricity to a load. The above-described solar power device (1) can be formed in the form of a string in which a plurality of solar modules are connected in series, and a plurality of solar power devices (1) can be formed in parallel and connected to an inverter (11) that regulates the supply of electricity to a load or an ESS device (2). At this time, each of the plurality of solar power devices (1) can be connected to the inverter (11) through a relay or the like to regulate the transmission of generated electricity.

[0036] The above ESS device (2) is configured to store power produced by the solar power device (1) and supplies the stored power to the load. In addition, the above ESS device (2) is formed in multiple units to distribute and store power, thereby preventing reverse transmission of power by securing sufficient storage space, and reducing the load of the ESS device (2) through the distribution of use of the ESS device (2), thereby extending the service life and preventing failure. In particular, the multiple ESS devices (2) can be charged and discharged by distributing power according to the degree of use, thereby enabling even use.

[0037] The above management server (3) is configured to manage the operation of the system and can control the charging and discharging of the ESS device (2). Basically, the above management server (3) stores power generated by the solar power device (1) in the ESS device (2), supplies power stored in the ESS device (2) to the load according to the load's power consumption, and if the power stored in the ESS device (2) is insufficient, receives power from the grid and delivers it to the load. In particular, the above management server (3) precisely diagnoses the fault status of the solar power device (1) and the ESS device (2), and by precisely diagnosing the fault status, the condition requiring frequent inspection, and the condition requiring replacement due to the end of lifespan, it enables accurate identification of the status and response. In addition, the above management server (3) can precisely diagnose the status regarding the power generation performance of the solar power device (1), the charging and discharging speed of the ESS device (2), the operating temperature, and the maximum charging amount, respectively, thereby enabling more accurate identification of the status of each device. In addition, the management server (3) stores the surplus power generated in the ESS device (2) when the power generation amount of the solar power device (1) is greater than the power consumption of the load, and when the space of the ESS device (2) is insufficient, it adjusts the connection with each solar power device (1) to prevent backflow of the generated power. In addition, the management server (3) can predict the power generation amount of the solar power device (1) and the power consumption of the load per unit time during a certain standard time period to control the charging and discharging of the ESS device (2). For example, it can predict the power generation amount and power consumption per hour during a standard time period of one day and determine the charging and discharging schedule of the ESS device (2) in advance at the start of the day according to the difference, and in particular, it can adjust the connection with each solar power device (1) to prevent backflow of the surplus power generation amount.Additionally, the management server (3) can determine which solar power device (1) to connect based on the power generation performance of each solar power device (1) when controlling the connection with the solar power device (1), and can distribute charging and discharging by comparing the usage level of each ESS device (2). In addition, the management server (3) can determine the number and specifications of appropriate solar power devices (1) and ESS devices (2) even in the case of a solar power system installed at a new location by using an algorithm that predicts the amount of power generated and the amount of electricity used. To this end, the management server (3) may include a state diagnosis unit (31), a fault diagnosis unit (32), an inspection diagnosis unit (33), a replacement diagnosis unit (34), a prediction control unit (35), a device control unit (36), an ESS analysis unit (37), an ESS control unit (38), and a condition derivation unit (39).

[0038] The above-mentioned state diagnosis unit (31) is configured to precisely diagnose the state of the solar power device (1) or the ESS device (2), and to precisely diagnose the state regarding the power generation performance of the solar power device (1), the charging and discharging speed of the ESS device (2), the operating temperature, and the maximum charging amount, respectively. To this end, it may include a power generation indicator calculation module (311), a speed indicator calculation module (312), a temperature indicator calculation module (313), and a charging indicator calculation module (314).

[0039] The above-mentioned power generation indicator calculation module (311) is configured to calculate a power generation indicator representing a state value regarding the power generation performance of the solar power device (1), and can calculate the power generation indicator based on the ratio of the current power generation amount to the normal state power generation amount according to the environment. Accordingly, the above-mentioned power generation indicator calculation module (311) can enable accurate identification of the performance status even for solar power generation amounts that change irregularly depending on the environment. To this end, the above-mentioned power generation indicator calculation module (311) may include a power generation information collection module (311a), an environment information collection module (311b), a power generation analysis module (311c), a power generation amount prediction module (311d), and a power generation indicator calculation module (311e).

[0040] The above-mentioned power generation information collection module (311a) is configured to collect information regarding the amount of power generated by the solar power device (1), and continuously collects information regarding the amount of power generated from the initial installation to the present.

[0041] The above environmental information collection module (311b) is configured to collect information regarding the environment surrounding the solar power device (1), and can collect information such as solar radiation, precipitation, and temperature.

[0042] The above-mentioned power generation analysis module (311c) is configured to analyze the correlation between environmental information and power generation amount in an initial state, and can analyze the correlation using machine learning methods such as artificial neural networks.

[0043] The above power generation prediction module (311d) is configured to predict the amount of power generated when the current environment is in an initial state, and predicts the amount of power generated by inputting environmental information such as current solar radiation, precipitation, and temperature into the correlation analyzed by the power generation analysis module (311c).

[0044] The above power generation indicator calculation module (311e) is configured to calculate the power generation indicator of each solar power device (1), and can calculate the power generation indicator according to the ratio of the current power generation amount to the power generation amount in the initial state predicted by the above power generation amount prediction module (311d).

[0045] The above speed indicator calculation module (312) is configured to calculate a speed indicator representing a state value regarding the charging and discharging speed of the ESS device (2), and can calculate the speed indicator according to the ratio of the current charging and discharging speed to the charging and discharging speed in the initial state. To this end, the above speed indicator calculation module (312) may include a speed information collection module (312a), a normal speed setting module (312b), a speed information comparison module (312c), and a speed indicator calculation module (312d).

[0046] The above speed information collection module (312a) may be configured to collect information regarding the charging and discharging speed of the ESS device (2) by measuring and collecting the speed of the current being charged or discharged for each ESS device (2).

[0047] The above normal speed setting module (312b) is configured to set the normal speed for charging and discharging each ESS device (2), and can set the charging and discharging speed in the initial state to the normal speed.

[0048] The above speed information comparison module (312c) is configured to compare the initial normal speed and the current charging / discharging speed, and can compare the speed for each of the charging or discharging.

[0049] The above speed indicator calculation module (312d) is configured to calculate a speed indicator and can calculate the speed indicator based on the ratio of the current charge / discharge speed to the normal speed.

[0050] The above temperature index calculation module (313) is configured to calculate a temperature index representing a state value regarding the temperature of the ESS device (2), and can calculate the temperature index according to the change in temperature caused by heat generated during charging and discharging. Accordingly, the above temperature index calculation module (313) calculates the temperature index by comparing the temperature according to the amount of charging and discharging in a normal state with the current temperature, and incorporates the ambient temperature to enable a more accurate calculation of the temperature index. To this end, the above temperature index calculation module (313) may include a temperature information collection module (313a), a charge / discharge amount collection module (313b), an ambient temperature collection module (313c), a temperature information analysis module (313d), a normal temperature setting module (313e), a temperature information comparison module (313f), and a temperature index calculation module (313g).

[0051] The above temperature information collection module (313a) is configured to collect temperature information of the ESS device (2), and can measure and collect the temperature of each ESS device (2) in real time.

[0052] The above charge / discharge amount collection module (313b) is configured to collect information regarding the charge / discharge amount of the ESS device (2), and can collect information regarding the amount of power being charged and discharged in real time.

[0053] The above ambient temperature collection module (313c) is configured to collect ambient temperature information of the ESS device (2), and can collect temperature information measured through a separate thermometer, etc.

[0054] The above temperature information analysis module (313d) is configured to analyze the correlation between the charge / discharge amount of the ESS device (2), the ambient temperature, and the temperature of the ESS device (2). In the initial state, the charge / discharge amount and the ambient temperature are used as input variables, and the temperature of the ESS device (2) is used as an output variable to analyze the correlation using a machine learning method.

[0055] The above normal temperature setting module (313e) is configured to set the temperature of the ESS device (2) in a normal state at the current time, and sets the normal temperature by inputting the current charge / discharge amount and ambient temperature information into the correlation analyzed by the above temperature information analysis module (313d).

[0056] The above temperature information comparison module (313f) is configured to compare the temperature in the normal state of the ESS device (2) with the current temperature, and to compare the normal temperature set by the above normal temperature setting module (313e) with the current temperature of the ESS device (2).

[0057] The above temperature index calculation module (313g) is configured to calculate a temperature index, and can calculate the temperature index according to the ratio of the current temperature to the normal temperature set by the normal temperature setting module (313e).

[0058] The above charging indicator calculation module (314) is configured to calculate a charging indicator representing a state value regarding the maximum charging amount of the ESS device (2), and calculates the charging indicator according to the ratio of the current maximum charging amount to the initial maximum charging amount. Since the maximum charging amount of the ESS device (2) continuously decreases with use, the usage status of the ESS device (2) can be diagnosed according to the degree of change in the maximum charging amount. To this end, the above charging indicator calculation module (314) may include an initial information collection module (314a), a buffer information collection module (314b), a buffer information comparison module (314c), and a charging indicator calculation module (314d).

[0059] The above initial information collection module (314a) is configured to collect initial information regarding the maximum charge amount of the ESS device (2), and can collect information set for each ESS device (2) or collect the maximum charge amount by measuring it during initial operation.

[0060] The above buffer information collection module (314b) is configured to collect information regarding the current maximum charge amount of the ESS device (2), and measures and collects information regarding the charge amount when currently fully charged.

[0061] The above buffer information comparison module (314c) is configured to allow a comparison regarding the maximum charge amount, and compares the initial maximum charge amount with the current charge amount when fully charged.

[0062] The above charging indicator calculation module (314d) is configured to calculate a charging indicator, and can calculate the charging indicator based on the ratio of the current maximum charging amount to the initial maximum charging amount.

[0063] The fault diagnosis unit (32) is configured to diagnose a fault in a solar power device (1) or an ESS device (2), and can diagnose a fault based on any one of the state values ​​of the power generation indicator of the solar power device (1), the speed indicator, the temperature indicator, and the charging indicator of the ESS device (2). In particular, the fault diagnosis unit (32) diagnoses a fault by using the degree of change of the state value, calculates the state value at regular time intervals to calculate the degree of change between time intervals, and recognizes a state where the calculated degree of change becomes large enough to be judged as a fault. However, since a fault occurs in the solar power device (1) or the ESS device (2) and the state value maintains a rapidly changing state, the fault diagnosis unit (32) can diagnose a fault only when the state value maintains a rapidly changing state, thereby excluding cases of temporary abnormalities and diagnosing an accurate fault. Accordingly, the fault diagnosis unit (32) is based on the degree of change between time units, so that performance degradation over time, temporary abnormalities, etc., can be excluded and accurate fault diagnosis can be performed. To this end, the fault diagnosis unit (32) may include a status value receiving module (321), a change rate calculation module (322), a continuous arrival judgment module (323), a count calculation module (324), and a fault judgment module (325).

[0064] The above status value receiving module (321) is configured to receive status values ​​of the solar power device (1) or ESS device (2) at set time units, and can receive power generation indicators, speed indicators, temperature indicators, and charging indicators.

[0065] The above change rate calculation module (322) is configured to calculate the degree of change of a state value, and can calculate the degree of change of a state value between time units.

[0066] The above continuous arrival judgment module (323) is configured to determine whether a state in which the degree of change in state values ​​is large enough to be suspected of being a failure is continuous, and detects a state in which the power generation indicator, speed indicator, and charging indicator decrease rapidly by a set amount between time units, or the temperature indicator increases rapidly. Accordingly, when the above continuous arrival judgment module (323) determines a state suspected of being a failure, it can determine whether the state suspected of being a failure is maintained by calculating the degree of change from the state value of the time unit immediately preceding the determination of the suspected failure starting from the next time unit.

[0067] The above-mentioned count calculation module (324) is configured to calculate the number of consecutive occurrences suspected of failure by the consecutive arrival judgment module (323), and calculates the number of consecutive occurrences when the degree of change in the state value continuously reaches the range suspected of failure. In other words, the above-mentioned count calculation module (324) calculates the degree of change with respect to the previous time unit for the next time unit when the degree of change in the state value between the previous time units reaches the range suspected of failure, and determines whether it reaches the range suspected of failure, and calculates the number of consecutive occurrences to confirm whether a failure has definitely occurred.

[0068] The fault judgment module (325) is configured to determine a fault in a solar power device (1) or an ESS device (2), and can determine a definite fault condition and notify when the number of consecutive occurrences calculated by the number calculation module (324) exceeds a set reference number.

[0069] The inspection and diagnosis unit (33) is configured to diagnose the condition requiring inspection of the solar power device (1) or ESS device (2). When a frequent abnormal condition occurs, even though it is not diagnosed as a fault by the fault diagnosis unit (32), it determines that an inspection is necessary and notifies the relevant party. To this end, the inspection and diagnosis unit (33) may include a change rate loading module (331), an inspection range recognition module (332), a reach frequency calculation module (333), and an inspection judgment module (334).

[0070] The above change rate loading module (331) is configured to retrieve information regarding the degree of change of a state value, and retrieves information on the rate of change between time units calculated by the above change rate calculation module (322).

[0071] The inspection range recognition module (332) is configured to recognize whether the rate of change of a loaded state value reaches an inspection range, wherein the inspection range refers to a certain range below the degree of change of the state value judged as a suspected fault range by the fault diagnosis unit (32). Accordingly, the inspection range recognition module (332) can recognize a state in which the state value changes to an extent that it can be judged as an abnormal state, even if the rate of change does not change rapidly enough to be judged as a fault.

[0072] The above-mentioned arrival frequency calculation module (333) is configured to calculate the frequency at which the rate of change of a state value reaches the inspection range. When the rate of change reaches the inspection range, it monitors the rate of change compared to the previous time unit at each time unit and calculates the frequency at which the rate of change reaches the inspection range over a certain number of time units.

[0073] The inspection judgment module (334) is configured to determine and notify the need for inspection of the solar power device (1) or ESS device (2), and determines that inspection is required when the frequency calculated by the arrival frequency calculation module (333) exceeds a set reference frequency. Accordingly, the inspection judgment module (334) can distinguish and notify conditions requiring inspection in addition to failures, and can select and notify only cases where abnormal conditions occur frequently, excluding temporary abnormalities, thereby increasing the accuracy and efficiency of management.

[0074] The above replacement diagnosis unit (34) is configured to diagnose the replacement of a solar power device (1) or an ESS device (2), and can recognize and notify when replacement is required due to the end of the device's lifespan. Unlike the fault diagnosis unit (32) and the inspection diagnosis unit (33), the above replacement diagnosis unit (34) makes a judgment based on the status value itself, and if the status value is significantly lowered to the point where the device cannot function, it distinguishes between a fault and a state requiring inspection and notifies the need for replacement. To this end, the above replacement diagnosis unit (34) may include a status value loading module (341), a reference value setting module (342), a reference value comparison module (343), and a replacement decision module (344).

[0075] The above state value loading module (341) is configured to load the state value of the solar power device (1) or ESS device (2), and can load the power generation indicator, speed indicator, temperature indicator, and charging indicator at time intervals.

[0076] The above reference value setting module (342) is configured to set a reference value for a status value, and sets a reference value for each of the power generation indicator, speed indicator, temperature indicator, and charging indicator, which can be determined to require replacement due to the deterioration of the function of each device.

[0077] The reference value comparison module (343) is configured to compare each state value with a reference value, and to compare the reference value of each device loaded by the state value loading module (341) with the reference value set by the reference value setting module (342).

[0078] The above replacement decision module (344) is configured to indicate the need for replacement of the solar power device (1) or ESS device (2), and can determine that replacement is necessary when one of the state values ​​resulting from the comparison by the reference value comparison module (343) falls short of the reference value.

[0079] The above prediction control unit (35) is configured to control the charging and discharging of the ESS device (2) and the connection with the solar power device (1) according to the prediction of power generation and power consumption. It sets a certain reference time and predicts the power generation and power consumption per unit time at each reference time to control the system. For example, the above prediction control unit (35) predicts the power generation of the solar power device (1) and the power consumption of the load per hour for the next day at 0:00 on a daily basis, calculates the excess or deficit in power, and pre-sets the charging and discharging schedule of the ESS device (2) and the connection with the solar power device (1) per unit time to control it. Through this, the above prediction control unit (35) may include a power generation prediction module (351), a usage prediction module (352), a charging and discharging control module (353), and a connection setting module (354).

[0080] The above power generation prediction module (351) is configured to predict the power generation of the solar power device (1) and can predict the power generation amount per unit time. The above power generation prediction module (351) can predict the power generation amount using weather information, and can predict the power generation amount by analyzing the correlation between the weather information and the power generation amount. To this end, the above power generation prediction module (351) may include a weather information collection module (351a), a power generation collection module (351b), a power generation analysis module (351c), a weather forecast reception module (351d), and a prediction information generation module (351e).

[0081] The above weather information collection module (351a) is configured to collect weather information that affects the amount of power generated by the solar power device (1), and can collect information regarding temperature, cloud cover, precipitation, solar radiation, etc. provided by the meteorological agency, etc.

[0082] The above power generation collection module (351b) is configured to collect power generation information of the solar power device (1), and can collect power generation information by measuring the voltage and current output from the solar power device (1).

[0083] The above-mentioned power generation analysis module (351c) is configured to analyze changes in weather information and power generation, and can analyze the correlation between weather information and power generation. For example, the above-mentioned power generation analysis module (351c) can use machine learning, such as an artificial neural network, to use weather information as an input variable and power generation as an output variable to analyze the correlation.

[0084] The above weather forecast receiving module (351d) is configured to receive weather forecasts for power generation prediction, and receives weather forecast information per unit time during a reference time provided by the meteorological agency, etc.

[0085] The above prediction information generation module (351e) is configured to predict the amount of power generated by the solar power device (1), and can predict the amount of power generated per unit time during the reference time at the start of the reference time. To this end, the above prediction information generation module (351e) can input weather prediction information into the result analyzed by the power generation analysis module (351c) so that the amount of power generated can be predicted.

[0086] The above usage prediction module (352) is configured to predict the power consumption of a load and can predict the power consumption per unit time. The above usage prediction module (352) can predict power consumption by analyzing changes in power consumption according to the surrounding environment and seasonal characteristics, and to this end, the usage prediction module (352) may include a usage collection module (352a), a surrounding information collection module (352b), a seasonal characteristic storage module (352c), a usage analysis module (352d), a basic information collection module (352e), and a prediction information calculation module (352f).

[0087] The above usage collection module (352a) is configured to collect information on the power consumption of a load, and collects information on the amount of power supplied to a load, such as a school, company, factory, or public facility, on a unit-time basis.

[0088] The above surrounding information collection module (352b) is configured to collect environmental information that affects power consumption, and can collect environmental information such as temperature, humidity, and precipitation.

[0089] The above time characteristic storage module (352c) is configured to store information regarding time characteristics of a reference time, and can store information regarding time characteristics such as day of the week, month, and whether it is a holiday.

[0090] The above usage analysis module (352d) is configured to analyze changes in power consumption of a load and to analyze changes in power consumption according to the environment. The above usage analysis module (352d) can analyze changes in power consumption according to the environment by day of the week, month, holiday / weekday depending on seasonal characteristics, and can derive a function of power consumption with temperature, humidity, precipitation, etc., or analyze correlations through machine learning such as an artificial neural network.

[0091] The above basic information collection module (352e) is configured to collect basic information for predicting the power consumption of a load, and can collect prediction information regarding the environment, such as temperature, humidity, and precipitation, as well as information regarding seasonal characteristics.

[0092] The above prediction information calculation module (352f) is configured to predict power consumption information of a load, and can predict power consumption per unit time during a reference time by applying basic information collected by the basic information collection module (352e) to the analysis results analyzed by the usage analysis module (352d).

[0093] The above-mentioned charge / discharge control module (353) is configured to control the charge / discharge of the ESS device (2), and can control the charge / discharge per unit time according to the predicted amount of power generated by the solar power device (1) and the power consumption of the load. For example, the above-mentioned charge / discharge control module (353) can charge the surplus power generated in the ESS device (2) when it is predicted that the amount of power generated will be greater than the power consumption, and when the power consumption is greater than the amount of power generated, it can supply power from the ESS device (2) to the load or receive power from the grid and deliver it to the load.

[0094] The above connection setting module (354) is configured to set a connection with the solar power device (1), and sets a connection with the solar power device (1) according to the predicted amount of power generation and power consumption per unit time. In other words, when the amount of power generation per unit time exceeds the power consumption and the surplus power is predicted to exceed the remaining space of the ESS device (2), the above connection setting module (354) disconnects the connection with some of the solar power devices (1) so that all of the surplus power can be stored in the ESS device (2). To this end, the above connection setting module (354) may include a remaining amount receiving module (354a), a prediction information receiving module (354b), a surplus amount prediction module (354c), a remaining amount prediction module (354d), and a connection information determination module (354e).

[0095] The above remaining amount receiving module (354a) is configured to receive information regarding the remaining space of the ESS device (2), and receives information regarding how much space remains in the ESS device (2) to store power at the start of the reference time.

[0096] The above prediction information receiving module (354b) is configured to receive prediction information regarding the amount of power generated by the solar power device (1) and the amount of power consumed by the load, and can receive the unit-time information predicted by the power generation prediction module (351) and the consumption prediction module (352) at the start time of the reference time.

[0097] The above-mentioned surplus amount prediction module (354c) is configured to predict the surplus power generation amount per unit time, and if the predicted power generation amount is greater than the power consumption, it predicts the surplus power generation amount based on the difference.

[0098] The above remaining amount prediction module (354d) is configured to predict the remaining space of the ESS device (2), and predicts the remaining space according to the amount of power remaining in the ESS device (2) for each unit time by considering the predicted power generation amount and power consumption amount per unit time.

[0099] The above connection information determination module (354e) is configured to determine connection information regarding the solar power device (1), and determines the number of solar power devices (1) connected per unit time. The above connection information determination module (354e) disconnects some solar power devices (1) when the amount of power generated per unit time exceeds the amount of power used and there is insufficient space to store the excess power in the ESS device (2), thereby allowing the excess power generated to be stored in the ESS device (2) without flowing back into the grid.

[0100] The above device control unit (36) is configured to determine the solar power device (1) connected by the above connection setting module (354), and determines the solar power device (1) when there is no space to store surplus power generation in the ESS device (2) and some solar power devices (1) need to be disconnected. In particular, the above device control unit (36) compares the power generation performance of each solar power device (1) and prioritizes connecting the solar power device (1) whose performance is maintained, thereby enabling even use of the solar power devices (1), minimization of maintenance, and extension of lifespan. To this end, the above device control unit (36) may include a connection information receiving module (361), a power generation indicator loading module (362), a power generation indicator comparison module (363), and a connection determination module (364).

[0101] The above connection information receiving module (361) is configured to receive information that the connection with the solar power device (1) is controlled by the connection setting module (354), and receives information that the connection with some solar power devices (1) is disconnected when the solar power generation exceeds the power consumption and there is no space to store it in the ESS device (2).

[0102] The above power generation indicator loading module (362) is configured to retrieve power generation indicator information of each solar power device (1), and when information regarding the adjustment of the connection with the solar power device (1) is received by the above connection information receiving module (361), it retrieves the power generation indicator information calculated by the private benefit power generation indicator calculation module (311).

[0103] The above power generation indicator comparison module (363) is configured to compare the power generation indicators of each solar power device (1), and can compare the power generation indicators loaded by the power generation indicator loading module (362).

[0104] The above connection determination module (364) is configured to determine the solar power devices (1) to be connected and disconnected when the solar power devices (1) are determined by the above connection information determination module (354e). It determines the number of solar power devices (1) to be disconnected according to the amount of surplus power that cannot be stored in the ESS device (2), and disconnects the solar power devices (1) with the lowest power generation index first according to the order of the power generation index. Accordingly, the above connection determination module (364) disconnects the solar power devices (1) with a low power generation index, that is, low power generation performance, and connects the solar power devices (1) with high power generation performance so that power generation can be achieved, thereby enabling even use of the solar power devices (1), reduction of the risk of failure, and extension of the lifespan.

[0105] The above ESS analysis unit (37) is configured to analyze the usage status of the ESS device (2) and to analyze the extent of usage. As described above, the ESS device (2) is formed in multiple units to distribute and store power, and by distributing power according to the usage status of each ESS device (2) so that charging and discharging of power occurs, even usage of the ESS device (2) is made possible. In particular, the above ESS analysis unit (37) can further increase the accuracy of distribution by analyzing the usage status by comprehensively considering the degree of charging and discharging, the degree of failure, and the degree of severe temperature conditions of the ESS device (2). To this end, the above ESS analysis unit (37) may include a charge / discharge index calculation module (371), a failure index calculation module (372), a temperature index calculation module (373), and a usage index calculation module (374).

[0106] The above charge / discharge index calculation module (371) is configured to calculate a charge / discharge index representing the usage state according to the charge / discharge level of the ESS device (2), and can calculate the charge / discharge index by considering both the charge / discharge time and the charge / discharge amount. To this end, the above charge / discharge index calculation module (371) may include a charge / discharge amount collection module (371a), a usage time collection module (371b), and a charge / discharge index calculation module (371c).

[0107] The above charge / discharge amount collection module (371a) is configured to collect information regarding the charge / discharge amount of each ESS device (2), and can calculate and collect the charge / discharge amount by measuring the voltage and current being charged and discharged.

[0108] The above usage time collection module (371b) is configured to collect information regarding the charging and discharging time of each ESS device (2), and can collect information regarding the time when charging and discharging are performed using each ESS device (2).

[0109] The above charge / discharge index calculation module (371c) is configured to calculate the charge / discharge index, and can calculate the charge / discharge index by multiplying the charge / discharge amount of each ESS device (2) by the charge / discharge time.

[0110] The above failure index calculation module (372) is configured to calculate a failure index indicating the degree of failure of the ESS device (2), and can calculate the failure index according to the failure frequency relative to the usage period. To this end, the above failure index calculation module (372) may include a failure information collection module (372a), a usage period collection module (372b), and a failure index calculation module (372c).

[0111] The fault information collection module (372a) above is configured to collect fault information of the ESS device (2), and can collect fault information of each ESS device (2) input from an administrator, etc.

[0112] The above usage period collection module (372b) is configured to collect information regarding the usage period of each ESS device (2), and can collect information regarding the total period of use connected to the solar power system.

[0113] The above fault index calculation module (372c) is configured to calculate the fault index of each ESS device (2), calculates the failure frequency by dividing the number of failures by the usage period, and can calculate the fault index according to the failure frequency. At this time, the above fault index calculation module (372c) can divide the failure frequency into a certain range and determine a pre-set fault index according to that frequency.

[0114] The above temperature index calculation module (373) is configured to calculate a temperature index indicating the degree of severe condition according to the temperature of the ESS device (2), and by calculating the degree to which the ESS device (2) is overheated or exposed to severe conditions of excessively low temperature and reflecting this in the usage state, it enables a more accurate analysis of the usage state. To this end, the above temperature index calculation module (373) may include a temperature range setting module (373a), a severe temperature recognition module (373b), a severe time calculation module (373c), a temperature index calculation module (373d), and a weighting application module (373e).

[0115] The above temperature range setting module (373a) is configured to set an appropriate temperature range of the ESS device (2), and can set a temperature range that can be determined as the normal operating range of the ESS device (2).

[0116] The above-mentioned severe temperature detection module (373b) is configured to detect whether the temperature of the ESS device (2) falls within a severe temperature range that deviates from the appropriate temperature range, and measures the temperature of each ESS device (2) to detect whether it reaches a temperature lower or higher than the appropriate temperature range.

[0117] The above-mentioned harsh time calculation module (373c) is configured to calculate the time during which the temperature of the ESS device (2) remains in the harsh temperature range, and calculates and stores the time during which the harsh temperature range is recognized by the above-mentioned harsh temperature recognition module (373b).

[0118] The above temperature index calculation module (373d) is configured to calculate the temperature index of the ESS device (2), and can calculate the temperature index according to the ratio of the time spent at a harsh temperature calculated by the harsh time calculation module (373c) relative to the operating time of each ESS device (2).

[0119] The above weighting application module (373e) is configured to reflect the degree to which the temperature of the ESS device (2) deviates from the appropriate temperature range in the temperature index, and to reflect the ratio of deviation from the appropriate temperature range as a weight in the temperature index.

[0120] The above usage index calculation module (374) is configured to calculate a usage index indicating the degree of use of each ESS device (2). For example, the usage index can be calculated by applying a failure index and a temperature index as weights to the charge / discharge index based on a charge / discharge index indicating the degree of charge / discharge. Accordingly, the usage index has a higher value when the amount of charge / discharge and the charge / discharge time are large, the frequency of failure is high, and the device deviates significantly from the normal range for a long time under harsh temperature conditions.

[0121] The above ESS control unit (38) is configured to control charging and discharging by the ESS device (2), and determines the ESS device (2) to be used for charging and discharging according to the usage state of each ESS device (2). In particular, the above ESS control unit (38) distributes charging and discharging power according to the usage state, thereby enabling even use of the ESS device (2). To this end, the above ESS control unit (38) may include a charging / discharging information receiving module (381), a usage index loading module (382), a usage index comparison module (383), and a charging / discharging distribution module (384).

[0122] The above charge / discharge information receiving module (381) is configured to receive control information regarding the charge / discharge of the ESS device (2), and receives control information when the generated power of the solar power device (1) is charged into the ESS device (2) or when the power stored in the ESS device (2) is supplied to the load.

[0123] The above usage index loading module (382) is configured to load usage index information of each ESS device (2), and loads usage index information calculated by the above usage index calculation module (374).

[0124] The above usage index comparison module (383) is configured to compare the retrieved usage index and to compare the usage index for each of the plurality of ESS devices (2).

[0125] The above charge / discharge distribution module (384) is configured to distribute charge / discharge power to the ESS device (2), and can distribute charge / discharge power according to the ratio of the usage index to enable charging or discharging. The above charge / discharge distribution module (384) can charge / discharge power with less power when the usage index is high and more power when the usage index is low, thereby enabling the usage level between the ESS devices (2) to be evenly matched.

[0126] The above condition derivation unit (39) is configured to derive installation conditions for a new solar power system, and derives the specifications and number of solar power devices (1) and ESS devices using analysis information from the above prediction control unit (35). More specifically, the above condition derivation unit (39) predicts the amount of power generated at a newly installed location using the correlation between weather information and power generation analyzed by the power generation prediction module (351), collects power consumption information of the load to which the solar power system is connected, and determines the number and use of solar power devices (1) to maximize cost reduction, and determines the number and specifications of ESS devices (2) so that the cost of wasted power and the installation cost of ESS devices (2) are minimized by disconnecting the connection with the solar power device (1) to prevent reverse flow of generated power. To this end, the above condition derivation unit (39) may include a device condition setting module (391) and an ESS setting module (392).

[0127] The above device condition setting module (391) is configured to determine the specifications and number of solar power devices (1), and estimates the amount of power generated at the location where the new solar power system is installed, collects information on the power consumption of the load connected to the new solar power system for a certain period, calculates the cost that can be saved by installing the solar power system, and determines the specifications and number of solar power devices (1) so as to minimize the calculated cost. To this end, the above device condition setting module (391) may include a power generation device setting module (391a), a weather information receiving module (391b), a power generation amount estimation module (391c), a usage information collection module (391d), a cost saving calculation module (391e), an installation cost calculation module (391f), and a power generation device determination module (391g).

[0128] The above-mentioned power generation device setting module (391a) is configured to set the specifications and number of solar power devices (1) that can be installed in a new solar power system, and can set various types of solar power devices (1) that can be practically installed.

[0129] The above weather information receiving module (391b) is configured to receive weather information for a certain past period regarding the location where a new solar power system is to be installed, and allows for the estimation of the amount of power that can be produced by the solar power device (1) if the solar power system was installed during a certain past period.

[0130] The above power generation estimation module (391c) is configured to estimate the amount of power generated by the solar power device (1) at the location where a new solar power system is to be installed, and estimates the amount of power generated by the solar power device (1) by inputting weather information received by the weather information receiving module (391b) into the correlation analyzed by the power generation analysis module (351c).

[0131] The above usage information collection module (391d) is configured to collect power usage information for a load connected to a new solar power system, and to collect power usage information for a certain period in the past.

[0132] The above-mentioned cost-saving calculation module (391e) is configured to calculate the cost of reducing electricity charges resulting from the installation of a solar power system. It calculates the cost-saving by comparing the electricity charges when there is no solar power system with the electricity charges after the installation of the solar power system, and calculates the cost-saving by the specifications and number of solar power devices (1). The above-mentioned cost-saving calculation module (391e) utilizes the power generation amount estimated by the power generation amount estimation module (391c) and the power usage information of the load collected by the usage information collection module (391d). It calculates the electricity charges for a certain period based on the amount of electricity supplied from the grid according to the charge / discharge control module (353) per unit time, and calculates the cost-saving by comparing it with the electricity charges based on the amount of electricity used when there is no solar power system.

[0133] The above installation cost calculation module (391f) is configured to calculate the installation cost of a solar power device (1), and calculates the installation cost according to the specifications and number of solar power devices (1).

[0134] The above-mentioned power generation device determination module (391g) is configured to determine the specifications and number of solar power devices (1) of a newly installed solar power system. It determines the specifications and number of solar power devices (1) by comparing the cost savings calculated by the above-mentioned cost savings calculation module (391e) with the installation costs calculated by the above-mentioned installation cost calculation module (391f) according to the specifications and number of solar power devices (1). For example, the above-mentioned power generation device determination module (391g) can determine the specifications and number of solar power devices (1) such that the cost savings over a certain period are greater than the installation costs by a certain amount or more, thereby maximizing cost savings associated with the installation of the solar power system.

[0135] The above ESS setting module (392) is configured to set the capacity and number of ESS devices (2), and determines the capacity and number of ESS devices (2) so that the amount of power generated by the solar power device (1) that is wasted to prevent backflow and the installation cost of the ESS device (2) are minimized. In the above connection setting module (354), if the predicted amount of power generated per unit time exceeds the power consumption and there is no space to store the excess power generated in the ESS device (2), the connection with some solar power devices (1) is disconnected to prevent the power generated from flowing back into the grid. In this case, a loss occurs in which the power generated by the solar power device (1) cannot be utilized and is wasted. Therefore, the above ESS setting module (392) uses the estimated amount of power generated and power consumption information to predict the power generated that is wasted to prevent backflow in advance, and installs the ESS device (2) to minimize this, thereby minimizing the wasted power generated. However, in order to minimize the waste of generated power, it is better to install as many ESS devices (2) as possible, but since a large amount of cost is invested in installing the ESS devices (2), the specifications and number of ESS devices (2) are determined so that the sum of the installation costs and the cost of wasted power is minimized. To this end, the ESS setting module (392) may include a basic information loading module (392a), a connection information prediction module (392b), an operation cost calculation module (392c), and an ESS device determination module (392d).

[0136] The above basic information loading module (392a) is configured to load basic information for calculating electricity costs, and loads the amount of electricity generated estimated by the power generation estimation module (391c) and the electricity usage information collected by the usage information collection module (391d).

[0137] The above connection information prediction module (392b) is configured to predict connection information of the solar power device (1), and predicts information that the connection with the solar power device (1) is disconnected to prevent backflow according to the estimated amount of power generation and power consumption.

[0138] The above operating cost calculation module (392c) is configured to calculate the operating cost for the installation of the ESS device (2), and calculates the operating cost by adding the power cost for the generated power that is wasted according to the disconnection information of the solar power device (1) predicted by the above connection information prediction module (392b) and the installation cost according to the number and capacity of the ESS device (2).

[0139] The above ESS device determination module (392d) is configured to determine the number and capacity of the ESS device (2), and determines the number and capacity of the ESS device (2) so as to minimize the operating cost calculated by the above operating cost calculation module (392c).

[0141] Although the applicant has described various embodiments of the present invention above, such embodiments are merely examples of implementing the technical concept of the present invention, and any modification or alteration that implements the technical concept of the present invention should be interpreted as falling within the scope of the present invention. Explanation of the symbols

[0142] 1: Solar power device 11: Inverter 2: ESS device 3: Management server 31: Status Diagnosis Unit 311: Power Generation Indicator Calculation Module 312: Speed ​​Indicator Calculation Module 313: Temperature Indicator Calculation Module 314: Charge Indicator Calculation Module 32: Fault Diagnosis Unit 33: Inspection and Diagnosis Unit 34: Replacement and Diagnosis Unit 35: Prediction and Control Unit 351: Power Generation Prediction Module 352: Usage Prediction Module 353: Charge / Discharge Control Module 354: Connection setting module 36: Device control unit 37: ESS Analysis Department 371: Charge / Discharge Index Calculation Module 372: Failure Index Calculation Module 373: Temperature Index Calculation Module 374: Usage Index Calculation Module 38: ESS Control Unit 39: Condition derivation unit 391: Device condition setting module 392: ESS Configuration Module

Claims

Claim 1 A solar power device that produces electricity by solar power; and an ESS device that stores electricity produced by the solar power device and supplies the stored electricity to a load; It includes a management server that manages the operation of the system; wherein the management server classifies and diagnoses the fault state, inspection required state, and replacement required state of the solar power device or ESS device according to the degree of change in the status value of the solar power device or ESS device; the management server further includes a status diagnosis unit that diagnoses the ratio of the current state to the normal state of the solar power device or ESS device as a status value; a fault diagnosis unit that diagnoses the solar power device or ESS device as faulty when the degree of change in the status value diagnosed by the status diagnosis unit continuously reaches a degree of change diagnosed as faulty; an inspection diagnosis unit that determines that the solar power device or ESS device requires inspection when the degree of change in the status value repeatedly reaches a certain range below the degree of change diagnosed as faulty; and a replacement diagnosis unit that determines that the solar power device or ESS device requires replacement when the status value is below a set reference value; wherein the fault diagnosis unit includes a status value receiving module that receives the status value of the solar power device or ESS device at regular time intervals, a change rate calculation module that calculates the degree of change in the status value between regular time intervals, and the calculated It includes a continuous arrival determination module that determines whether the degree of change for the time unit immediately preceding the next time unit reaches a degree of change that can be diagnosed as a fault when the degree of change reaches a degree of change that can be diagnosed as a fault; a count calculation module that calculates the number of consecutive times the degree of change diagnosed as a fault is reached by the continuous arrival determination module; and a fault judgment module that determines a fault in a solar power device or ESS device when the calculated number of consecutive times exceeds a reference count, and the inspection and diagnosis unit includes a change rate loading module that retrieves change rate information calculated by the change rate calculation module; and an inspection range recognition module that recognizes when the retrieved change rate reaches a certain range below the change rate diagnosed as a fault.A photovoltaic system capable of condition diagnosis, characterized by additionally including a reach frequency calculation module that calculates the frequency of the time unit at which the rate of change for the time unit immediately preceding the inspection range is reached, and an inspection judgment module that determines that an inspection of the photovoltaic device or ESS device is required if the calculated frequency exceeds a reference frequency. Claim 2 delete Claim 3 delete Claim 4 A photovoltaic system capable of state diagnosis, wherein the state diagnosis unit comprises a power generation indicator calculation module that calculates a power generation indicator representing a state value for the power generation performance of a photovoltaic device, and the power generation indicator calculation module comprises a power generation information collection module that collects power generation information of the photovoltaic device, an environment information collection module that collects environmental information around the photovoltaic device, a power generation analysis module that analyzes the correlation between the surrounding environment and the power generation amount of the photovoltaic device in an initial steady state, a power generation prediction module that predicts the power generation amount in a steady state of the photovoltaic device using the analyzed correlation, and a power generation indicator calculation module that calculates a power generation indicator according to the ratio of the predicted power generation amount in a steady state to the current power generation amount. Claim 5 A solar power device that produces electricity by solar power; and an ESS device that stores electricity produced by the solar power device and supplies the stored electricity to a load; It includes a management server that manages the operation of the system; wherein the management server classifies and diagnoses a fault state, a state requiring inspection, or a state requiring replacement of the solar power device or ESS device according to the degree of change in the state value of the solar power device or ESS device; the management server further includes a state diagnosis unit that diagnoses the ratio of the current state to the normal state of the solar power device or ESS device as a state value; a fault diagnosis unit that diagnoses the solar power device or ESS device as faulty when the degree of change in the state value diagnosed by the state diagnosis unit continuously reaches a degree of change diagnosed as faulty; an inspection diagnosis unit that determines that the solar power device or ESS device requires inspection when the degree of change in the state value repeatedly reaches a certain range below the degree of change diagnosed as faulty; and a replacement diagnosis unit that determines that the solar power device or ESS device requires replacement when the state value is below a set reference value; wherein the state diagnosis unit includes a speed index calculation module that calculates a speed index representing a state value regarding the charge / discharge speed of the ESS device, and the speed index calculation module [is] the charge / discharge of the ESS device A photovoltaic system capable of condition diagnosis, characterized by additionally including a speed information collection module for collecting speed information, a normal speed setting module for setting a normal speed for the initial charging and discharging of an ESS device, a speed information comparison module for comparing the initial normal speed of an ESS device with the current charging and discharging speed, and a speed index calculation module for calculating a speed index based on the ratio of the current charging and discharging speed to the initial normal speed. Claim 6 A solar power device that produces electricity by solar power; and an ESS device that stores electricity produced by the solar power device and supplies the stored electricity to a load; The system includes a management server that manages the operation of the system; wherein the management server classifies and diagnoses the fault state, inspection required state, and replacement required state of the solar power device or ESS device according to the degree of change in the state value of the solar power device or ESS device; the management server further includes a state diagnosis unit that diagnoses the ratio of the current state to the normal state of the solar power device or ESS device as a state value; a fault diagnosis unit that diagnoses the solar power device or ESS device as faulty when the degree of change in the state value diagnosed by the state diagnosis unit continuously reaches a degree of change diagnosed as faulty; an inspection diagnosis unit that determines that the solar power device or ESS device requires inspection when the degree of change in the state value repeatedly reaches a certain range below the degree of change diagnosed as faulty; and a replacement diagnosis unit that determines that the solar power device or ESS device requires replacement when the state value is below a set reference value; wherein the state diagnosis unit includes a temperature index calculation module that calculates a temperature index representing the state value of the temperature of the ESS device; and the temperature index calculation module collects temperature information of the ESS device A photovoltaic system capable of condition diagnosis, characterized by additionally including a temperature information collection module, a charge / discharge amount collection module that collects information regarding the charge / discharge amount of an ESS device, an ambient temperature collection module that collects ambient temperature information of an ESS device, a temperature information analysis module that analyzes the correlation between the charge / discharge amount and the ambient temperature and temperature information in a normal state of an ESS device, a normal temperature setting module that derives a normal state temperature by inputting the charge / discharge amount and ambient temperature information of an ESS device into the correlation analyzed by the temperature information analysis module, a temperature information comparison module that compares the normal temperature set by the normal temperature setting module with the current temperature of an ESS device, and a temperature index calculation module that calculates a temperature index according to the ratio of the current temperature to the normal temperature of an ESS device. Claim 7 A photovoltaic system capable of state diagnosis, wherein, in any one of claims 1, 5, and 6, the state diagnosis unit includes a charging indicator calculation module that calculates a charging indicator representing a state value for the maximum charging amount of the ESS device, and the charging indicator calculation module includes an initial information collection module that collects information regarding the initial maximum charging amount of the ESS device, a full charge information collection module that collects information regarding the current full charge amount of the ESS device, a full charge information comparison module that compares the initial maximum charging amount with the current full charge amount, and a charging indicator calculation module that calculates a charging indicator according to the ratio of the current full charge amount to the initial maximum charging amount. Claim 8 A solar power system capable of state diagnosis, wherein in any one of claims 1, 5, and 6, the management server comprises a prediction control unit that predicts the power generation amount of a solar power device and the power consumption amount of a load per unit time during a set reference time and controls the charging and discharging of an ESS device, and a condition derivation unit that derives installation conditions for a new solar power system using information analyzed by the prediction control unit; wherein the prediction control unit comprises a power generation prediction module that predicts the power generation amount per unit time by analyzing the correlation between environmental information and power generation amount, a power consumption prediction module that predicts the power consumption amount per unit time by analyzing the correlation between surrounding environment and time characteristics and power consumption amount, and a charge / discharge control module that controls the charging and discharging of an ESS device by comparing the power generation amount and power consumption amount per unit time; and wherein the condition derivation unit comprises a device condition setting module that sets the specifications and number of solar power devices by comparing the power cost and installation cost according to the specifications and number of solar power devices included in the new solar power system. Claim 9 A solar power system capable of condition diagnosis according to claim 8, wherein the device condition setting module comprises: a power generation device setting module for setting the specifications and number of solar power devices that can be installed in a new solar power system; a weather information receiving module for receiving weather information for a certain period regarding the location where the new solar power system is to be installed; a power generation amount estimation module for estimating the amount of power generated per unit time based on the received environmental information; a usage information collection module for collecting power usage information for loads to be connected to the solar power system for a certain period; a cost reduction calculation module for calculating the cost reduction of electricity charges based on the amount of power generated and power usage according to the specifications and number of solar power devices; an installation cost calculation module for calculating the installation cost according to the specifications and number of solar power devices; and a power generation device determination module for determining the specifications and number of solar power devices by comparing the cost reduction and the installation cost. Claim 10 In claim 8, the solar power device is formed in multiple units so that each solar power device can be individually connected, and the prediction control unit includes a connection setting module that adjusts the connection of each solar power device per unit time when the predicted power generation amount per unit time exceeds the power consumption amount so that all power generation amount is stored in the ESS device, and the condition derivation unit includes an ESS setting module that sets the capacity and number of ESS devices, and the ESS setting module includes a basic information loading module that retrieves power generation amount per unit time estimated by a power generation estimation module that estimates the power generation amount per unit time according to received environmental information and power consumption information collected by a consumption information collection module, a connection information prediction module that predicts information on the disconnection of the solar power device by the connection setting module based on the retrieved power generation amount per unit time, power consumption amount, and the capacity of the ESS device, an operation cost calculation module that calculates the power cost and the installation cost of the ESS device according to the capacity of the ESS device based on the power generation amount wasted due to disconnection, and so that the sum of the power cost and the installation cost is minimized A photovoltaic system capable of condition diagnosis, characterized by including an ESS device determination module that determines the capacity and number of ESS devices.

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