A method and apparatus for monitoring distributed power equipment

Abstract

The application is suitable for the technical field of electric power supervision, and provides a kind of supervision method and device of distributed electric power equipment, comprising the following steps: multidimensional acquisition of the electric power data of each distributed electric power equipment, the health degree of each power generation equipment is determined based on the electric power data;Determine the change trend of the health degree of each power generation equipment, and divide the power generation equipment into three categories of no repair, immediate repair and reservation repair according to the health degree and change trend;Collect environmental information, predict the theoretical power generation of each power generation equipment in the future set time period based on the environmental information, and the power generation equipment of immediate repair does not participate in power generation;Predict the theoretical power consumption of each power consumption area in the future set time period based on the historical power consumption data;Determine the power grid power purchase quantity based on the theoretical power generation, the theoretical power consumption and the power purchase quantity safety threshold, and determine the power generation equipment of this time to perform reservation repair. In this way, the accurate matching and balance of power supply and demand are realized, and the stability and reliability of power supply are guaranteed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power supervision, in particular to a distributed power equipment supervision method and device. BACKGROUND

[0002] With the optimization of energy structure and the development of smart grid, distributed power equipment (such as distributed photovoltaic power generation, wind power generation, etc.) plays an increasingly important role in the power system. These devices are usually deployed in relatively dispersed geographical locations, providing additional power supply for the power grid and enhancing the reliability and resilience of the power system. However, the supervision and maintenance of distributed power equipment face many challenges: due to the large number of distributed power equipment and their wide distribution, it is difficult for traditional methods to achieve comprehensive and real-time supervision of these devices; in addition, when the power equipment is overhauled, the power equipment cannot supply power, which can easily affect the power supply of the power grid, and there is no good overall planning. Therefore, it is necessary to provide a distributed power equipment supervision method and device to solve the above problems. SUMMARY

[0003] In view of the deficiencies in the prior art, the purpose of the present application is to provide a distributed power equipment supervision method and device to solve the problems in the background art.

[0004] The present application is implemented as follows: a distributed power equipment supervision method, the method comprising the following steps:

[0005] Collecting power data of each distributed power equipment in multiple dimensions, determining the health degree of each power generation equipment based on the power data;

[0006] Determining the trend of change of the health degree of each power generation equipment, and dividing the power generation equipment into three categories of no need for repair, immediate repair and scheduled repair according to the health degree and the trend of change;

[0007] Collecting environmental information, predicting the theoretical power generation of each power generation equipment in a future set time period based on the environmental information, and the power generation equipment for immediate repair does not participate in power generation;

[0008] Predicting the theoretical power consumption of each power consumption area in a future set time period based on historical power consumption data;

[0009] Determining the power grid power purchase amount based on the theoretical power generation, the theoretical power consumption and the power purchase amount safety threshold, and determining the power generation equipment for this time scheduled repair.

[0010] As a further scheme of the present application: the step of determining the health degree of each power generation equipment based on the power data, specifically comprising:

[0011] determine a power generation type of each power generation device, the power generation type including photovoltaic power generation, hydroelectric power generation and wind power generation;

[0012] determine a health calculation model of each power generation device according to the power generation type, input the collected power data into the corresponding health calculation model, and calculate the health degree of each power generation device.

[0013] As a further scheme of the present application, the step of determining the change trend of the health degree of each power generation device according to the health degree and the change trend divides the power generation device into three categories of no repair, immediate repair and scheduled repair, and specifically includes:

[0014] retrieve a plurality of health degrees of each power generation device in a recent set time period, determine the change trend of the health degree, and the change trend is continuous decline, continuous rise, smooth fluctuation or sharp fluctuation, and the continuous decline and the continuous rise correspond to a change slope;

[0015] determine the range to which the health degree belongs, and the range is a safe range, a qualified range and a repair range;

[0016] when the change trend of the health degree is sharp fluctuation, the corresponding power generation device is determined as immediate repair;

[0017] when the health degree belongs to the safe range, the corresponding power generation device is determined as no repair; and when the health degree belongs to the repair range, the corresponding power generation device is determined as immediate repair;

[0018] when the health degree is in the qualified range, it is determined whether the change trend is continuous decline, and when none of them is, it is determined as no repair; when it is continuous decline, based on the change slope, it is calculated that in a future set time period, the proportion of the health degree in the repair range is greater than a proportion threshold value, and it is determined as immediate repair, otherwise it is scheduled repair.

[0019] As a further scheme of the present application, the step of predicting the theoretical power consumption of each power consumption area in a future set time period based on historical power consumption data specifically includes:

[0020] determine a training set and a test set through historical power consumption data of each power consumption area, construct an ARIMA model and perform model verification;

[0021] obtain external feature data, and the external feature data includes weather information and holiday information;

[0022] input the weather information and the holiday information in the future set time period into the ARIMA model to obtain the theoretical power consumption of each power consumption area.

[0023] As a further aspect of the present invention: the step of determining the grid purchase volume and determining the power generation equipment to be scheduled for maintenance based on theoretical power generation, theoretical power consumption, and a safe threshold for purchased power volume specifically includes:

[0024] Calculate the repairable power generation: Repairable power generation = Purchased electricity safety threshold - (Theoretical total electricity consumption - Theoretical total power generation).

[0025] The available power generation capacity is compared with the theoretical power generation capacity of each scheduled power generation equipment to determine the power generation equipment to be scheduled for maintenance.

[0026] After deducting the theoretical power generation of the power generation equipment scheduled for maintenance, the total theoretical power generation is recalculated to determine the power purchase amount from the grid. Power purchase amount from the grid = total theoretical power consumption - total theoretical power generation.

[0027] As a further aspect of the present invention: the step of determining the power generation equipment to be scheduled for maintenance specifically includes...

[0028] Retrieve the theoretical power generation and corresponding health status of each scheduled maintenance unit;

[0029] All eligible power generation equipment combinations are determined based on the repairable power generation capacity. The sum of the theoretical power generation capacity of the power generation equipment scheduled for repair in each power generation equipment combination is A≤Repairable power generation capacity Z.

[0030] Calculate the average health value B for each power generation equipment combination, and determine the optimal combination base G. The power generation equipment combination with the largest value in G is determined as the power generation equipment to be scheduled for maintenance in this operation, and K1 and K2 are weighting coefficients.

[0031] Another object of the present invention is to provide a monitoring device for distributed power equipment, the device comprising:

[0032] The health determination module is used to collect power data from various distributed power devices from multiple dimensions and determine the health of each power generation device based on the power data.

[0033] The power generation equipment classification module is used to determine the trend of health status changes for each power generation equipment. Based on the health status and the trend of changes, the power generation equipment is divided into three categories: no maintenance required, immediate maintenance required, and scheduled maintenance.

[0034] The theoretical power generation calculation module is used to collect environmental information and predict the theoretical power generation of each power generation device within a set time period based on the environmental information. Power generation devices that are under immediate maintenance will not participate in power generation.

[0035] The theoretical electricity consumption calculation module is used to predict the theoretical electricity consumption of each electricity consumption area within a future set time period based on historical electricity consumption data.

[0036] The scheduled maintenance execution module is used to determine the grid purchase volume and the power generation equipment to be scheduled for maintenance based on theoretical power generation, theoretical power consumption, and the safe threshold for purchased power.

[0037] As a further aspect of the present invention: the power generation equipment classification module includes:

[0038] The trend determination unit is used to retrieve several health values ​​of each power generation device within the most recent set time period and determine the trend of health value changes. The trend of changes is either continuous decline, continuous rise, stable fluctuation, or violent fluctuation. Continuous decline and continuous rise correspond to a change slope.

[0039] The scope determination unit is used to determine the scope of health status, which includes the safe range, the qualified range, and the maintenance range.

[0040] The first category determination unit is used to determine the corresponding power generation equipment to be immediately repaired when the trend of health changes is drastic fluctuation.

[0041] The second category determination unit is used to determine the corresponding power generation equipment as not requiring maintenance when the health status is within the safe range, and to determine the corresponding power generation equipment as requiring immediate maintenance when the health status is within the maintenance range.

[0042] The third category determination unit is used to determine whether the trend of change is a continuous decline when the health level is within the acceptable range. If neither of these conditions is met, it is determined that no maintenance is required. If the health level is a continuous decline, it calculates the percentage of the health level within the maintenance range in the future set time period based on the slope of change. If the percentage is greater than the percentage threshold, it is determined that immediate maintenance is required; otherwise, it is determined that scheduled maintenance is required.

[0043] As a further aspect of the present invention: the scheduled maintenance execution module includes:

[0044] The repairable power generation unit is used to calculate the repairable power generation. Repairable power generation = safe threshold for purchased electricity - (total theoretical electricity consumption - total theoretical power generation).

[0045] The scheduled maintenance determination unit is used to compare the repairable power generation with the theoretical power generation of each scheduled maintenance equipment to determine the power generation equipment to be scheduled for maintenance.

[0046] The grid purchase electricity unit is used to recalculate the total theoretical power generation after deducting the theoretical power generation of the power generation equipment that is scheduled for maintenance, and to determine the grid purchase electricity. Grid purchase electricity = total theoretical power consumption - total theoretical power generation.

[0047] As a further aspect of the present invention: the scheduled maintenance determination unit includes:

[0048] The information retrieval subunit is used to retrieve the theoretical power generation and corresponding health status of each scheduled maintenance power generation equipment;

[0049] The power generation equipment combination subunit is used to determine all eligible power generation equipment combinations based on the repairable power generation capacity. The sum of the theoretical power generation capacity of the power generation equipment scheduled for maintenance in each power generation equipment combination is A≤Repairable power generation capacity Z.

[0050] The optimal combination determination sub-unit is used to calculate the average health value B for each power generation equipment combination, and to determine the optimal combination base G. The power generation equipment combination with the largest value in G is determined as the power generation equipment to be scheduled for maintenance in this operation, and K1 and K2 are weighting coefficients.

[0051] Compared with the prior art, the beneficial effects of the present invention are:

[0052] This invention determines the health status of each power generation device, enabling real-time and comprehensive monitoring of distributed power equipment. It also determines the trend of health status changes for each device, categorizing them into three types based on health status and trends: no maintenance required, immediate maintenance required, and scheduled maintenance required. By analyzing health status and trends, potential equipment faults can be detected promptly, preventing escalation and safety accidents. Furthermore, this invention determines the grid's purchase volume based on theoretical power generation, theoretical power consumption, and a safe purchase volume threshold, identifying the power generation devices to be scheduled for maintenance. This achieves precise matching and balance between power supply and demand, ensuring the stability and reliability of power supply and preventing disruptions to the power grid. Attached Figure Description

[0053] Figure 1 A flowchart for a regulatory approach to distributed power equipment.

[0054] Figure 2 This is a flowchart for determining the health status in a regulatory approach for distributed power equipment.

[0055] Figure 3 This is a flowchart illustrating the classification of power generation equipment in a regulatory approach for distributed power equipment.

[0056] Figure 4 This is a flowchart illustrating the prediction of theoretical electricity consumption in a regulatory method for distributed power equipment.

[0057] Figure 5 This is a flowchart for determining the amount of electricity purchased from the grid in a regulatory method for distributed power equipment.

[0058] Figure 6 This is a flowchart for determining the power generation equipment to be scheduled for maintenance in a method for regulating distributed power equipment.

[0059] Figure 7 This is a schematic diagram of the structure of a monitoring device for distributed power equipment. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0061] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0062] like Figure 1 As shown in the figure, this embodiment of the invention provides a method for monitoring distributed power equipment, the method comprising the following steps:

[0063] S100 collects power data from various distributed power devices from multiple dimensions and determines the health status of each power generation device based on the power data.

[0064] S200 determines the trend of health status changes for each power generation device and classifies the power generation devices into three categories based on health status and trends: no maintenance required, immediate maintenance required, and scheduled maintenance required.

[0065] S300 collects environmental information and predicts the theoretical power generation of each power generation device within a set time period based on the environmental information. Power generation devices that are to be repaired immediately will not participate in power generation.

[0066] S400 predicts the theoretical electricity consumption of each electricity consumption area within a set future time period based on historical electricity consumption data.

[0067] S500 determines the grid purchase volume and the power generation equipment to be scheduled for maintenance based on theoretical power generation, theoretical power consumption, and the safe threshold for purchased power.

[0068] In this embodiment of the invention, various sensors are first deployed on the power equipment to collect power data from each distributed power device from multiple dimensions, determining the health status of each power generation device. This enables real-time and comprehensive monitoring of the distributed power equipment, reducing the frequency of manual inspections and periodic maintenance, and improving monitoring efficiency. Simultaneously, the changing trend of the health status of each power generation device is determined. Based on the health status and the changing trend, the power generation devices are categorized into three types: no maintenance required, immediate maintenance required, and scheduled maintenance required. By analyzing the health status and changing trends, potential equipment faults can be detected in a timely manner, preventing the escalation of faults and the occurrence of safety accidents. Next, environmental information, including light intensity, wind speed, and water flow, is collected. Based on this information, the theoretical power generation of each power generation device within a predetermined time period is predicted. The theoretical power generation is given by ∫_D^T power(t)dt. The calculation method for power generation differs for different power generation types. For example, for photovoltaic power generation devices, power generation = η1 × A × I × (1 − α), where η1 is the efficiency of the photovoltaic module, A is the effective area of ​​the photovoltaic module, I is the light intensity, and α is the degradation rate of the photovoltaic module. In this embodiment, the inherent parameters of the device are known, i.e., η1, A, and α are known. Then, historical electricity consumption data is used to predict the theoretical electricity consumption of each electricity consumption area within a predetermined time period. Here, the electricity consumption area refers to the area covered by distributed power equipment. Then, based on the theoretical power generation, theoretical power consumption, and the safe threshold for power purchase, the power grid purchase volume will be determined, and the power generation equipment to be scheduled for maintenance will be determined. The power grid purchase volume refers to the electricity purchased from the power grid to make up for the power shortage. It is easy to understand that the power grid purchase volume should not be too large to reduce the power supply pressure on the power grid. In this embodiment of the invention, the power generation equipment to be scheduled for maintenance will be determined through overall planning. Power generation equipment that has not been scheduled for maintenance will not be maintained in this session and will continue to generate electricity, so as to achieve precise matching and balance of power supply and demand and ensure the stability and reliability of power supply.

[0069] like Figure 2 As shown in the preferred embodiment of the present invention, the step of determining the health status of each power generation device based on power data specifically includes:

[0070] S101, determine the power generation type of each power generation device, wherein the power generation type includes photovoltaic power generation, hydropower generation and wind power generation;

[0071] S102, determine the health calculation model for each power generation device according to the power generation type, input the collected power data into the corresponding health calculation model, and calculate the health status of each power generation device.

[0072] In this embodiment of the invention, after determining the power generation type of each power generation device, the health calculation model of each power generation device is retrieved according to the power generation type. The health calculation model is pre-built. For example, the health calculation model of hydropower is: health degree = W1×η2 + W2×(1-ΔH / Hin) + W3×(1-f1 / f0), where η2 is the hydropower generation efficiency, ΔH is the head loss, ΔH=Hin-Hout, where Hin is the inlet head, Hout is the outlet head, f1 is the actual vibration frequency, f0 is the normal vibration frequency, W1, W2 and W3 are all weighting coefficients, and Hin, Hout and vibration frequency are all power data, all of which are collected by sensors. By inputting the real-time collected power data into the corresponding health calculation model, the health degree of each power generation device can be obtained.

[0073] like Figure 3 As shown in the preferred embodiment of the present invention, the step of determining the trend of health status changes of each power generation device and classifying the power generation devices into three categories—no maintenance required, immediate maintenance required, and scheduled maintenance—based on the health status and trends specifically includes:

[0074] S201, retrieve several health values ​​of each power generation device within the most recently set time period, and determine the trend of health value change. The trend of change is continuous decline, continuous rise, stable fluctuation or violent fluctuation. Continuous decline and continuous rise correspond to a change slope.

[0075] S202, determine the health status range, which includes the safe range, the qualified range, and the maintenance range;

[0076] S203, when the health status shows a drastic fluctuation, the corresponding power generation equipment is determined to require immediate maintenance;

[0077] S204, when the health status is within the safe range, the corresponding power generation equipment is determined to be maintenance-free; when the health status is within the maintenance range, the corresponding power generation equipment is determined to be maintenance-immediately required.

[0078] S205, when the health level is within the acceptable range, determine whether the trend of change is a continuous decline. If neither is true, it is determined that no maintenance is required. If it is a continuous decline, calculate the percentage of the health level within the maintenance range in the future set time period based on the slope of change. If the percentage is greater than the percentage threshold, it is determined that immediate maintenance is required; otherwise, it is scheduled for maintenance.

[0079] In this embodiment of the invention, to better classify the equipment, the health data of each power generation device within a recently set time period (e.g., the last half month) is first retrieved to determine the trend of health changes. This trend can be a continuous decline, a continuous rise, stable fluctuation, or violent fluctuation, with a slope corresponding to continuous decline and continuous rise. Specifically, if the data points show an overall upward trend from left to right, the curve shows a continuous upward trend. Conversely, if the data points show an overall downward trend, the curve shows a continuous downward trend. If the data points fluctuate within a certain range without a clear upward or downward trend, and the fluctuation amplitude is relatively small, it is considered stable fluctuation. If the data points fluctuate greatly, frequently changing from high to low or from low to high, with the difference between peak and trough values ​​exceeding a certain value, it is considered violent fluctuation. Then, the health range is determined, which includes a safe range, a qualified range, and a maintenance range, each corresponding to a health interval. When the health change trend is violent fluctuation, it indicates extreme instability, and the corresponding power generation device is identified as requiring immediate maintenance. When the health status is within the safe range, the corresponding power generation equipment is determined to require no maintenance; when the health status is within the maintenance range, the corresponding power generation equipment is determined to require immediate maintenance. When the health status is within the acceptable range, it is determined whether the trend is a continuous decline. If neither is true, it is determined to require no maintenance; if it is a continuous decline, the percentage of the health status within the maintenance range in a future set time period is calculated based on the slope of the change. If the percentage is greater than a percentage threshold, it is determined to require immediate maintenance; otherwise, it is determined to require scheduled maintenance. The percentage threshold is a pre-set value. This embodiment of the invention combines health status and trend to perform a scientific and precise classification.

[0080] like Figure 4 As shown, in a preferred embodiment of the present invention, the step of predicting the theoretical electricity consumption of each electricity consumption area within a future set time period based on historical electricity consumption data specifically includes:

[0081] S401, determine the training set and test set by using historical electricity consumption data of each electricity consumption area, construct the ARIMA model and perform model validation;

[0082] S402, acquire external feature data, including weather information and holiday information;

[0083] S403 inputs weather and holiday information for a future set time period into the ARIMA model to obtain the theoretical electricity consumption of each electricity consumption area.

[0084] In this embodiment of the invention, to predict theoretical electricity consumption, time features (such as hour, day of the week, month, season, and whether it is a holiday) and weather features (such as temperature and humidity) are extracted from historical electricity consumption data. Training and test sets are determined, an ARIMA model is constructed, and model parameters are determined using the autocorrelation function (ACF) and partial autocorrelation function (PACF). The parameters are optimized using a grid search method, the model is trained, and saved. Then, the model is validated based on the test set. After successful validation, external feature data, including weather and holiday information, is acquired. This external feature data is input into the ARIMA model to obtain the theoretical electricity consumption for each electricity consumption area.

[0085] like Figure 5 As shown, in a preferred embodiment of the present invention, the step of determining the grid purchase volume and determining the power generation equipment to be scheduled for maintenance based on theoretical power generation, theoretical power consumption, and a safe threshold for purchased power volume specifically includes:

[0086] S501, calculate the repairable power generation, repairable power generation = safe threshold for purchased electricity - (total theoretical electricity consumption - total theoretical power generation).

[0087] S502, compare the repairable power generation with the theoretical power generation of each scheduled power generation equipment to determine the power generation equipment to be repaired in this scheduled maintenance.

[0088] S503: After deducting the theoretical power generation of the power generation equipment scheduled for maintenance, recalculate the total theoretical power generation to determine the grid purchase volume. Grid purchase volume = total theoretical power consumption - total theoretical power generation.

[0089] In this embodiment of the invention, to achieve the most accurate matching and balance between power supply and demand and reduce grid pressure, the maintainable power generation capacity is calculated. Maintainable power generation capacity = Purchased power safety threshold - (Theoretical total power consumption - Theoretical total power generation). The purchase power safety threshold is a pre-set value based on experience; when the purchased power is within the safety threshold, it will not affect the grid. Then, the maintainable power generation capacity is compared with the theoretical power generation capacity of each scheduled maintenance unit to determine which units will be subject to scheduled maintenance and will not supply power. The theoretical power generation capacity of these scheduled maintenance units is then deducted, and the total theoretical power generation capacity is recalculated to determine the final grid purchase power. If the grid purchase power is negative, it indicates that power can be supplied to the grid.

[0090] like Figure 6 As shown in the preferred embodiment of the present invention, the step of determining the power generation equipment to be scheduled for maintenance specifically includes:

[0091] S5021, retrieve the theoretical power generation and corresponding health status of each scheduled maintenance power generation equipment;

[0092] S5022, determine all eligible power generation equipment combinations based on the repairable power generation capacity, and the sum of the theoretical power generation capacity of the power generation equipment scheduled for repair in each power generation equipment combination A≤repairable power generation capacity Z;

[0093] S5023, calculate the average health value B for each power generation equipment combination, and determine the optimal combination base G. The power generation equipment combination with the largest value in G is determined as the power generation equipment to be scheduled for maintenance in this operation, and K1 and K2 are weighting coefficients.

[0094] In this embodiment of the invention, in order to better determine which power generation equipment participates in the maintenance, all eligible power generation equipment combinations are determined based on the maintainable power generation. The sum of the theoretical power generation of the power generation equipment scheduled for maintenance in each power generation equipment combination is A≤maintainable power generation Z. Then, the average health value B of each power generation equipment combination is calculated. Combining A and B, the optimal power generation equipment combination is determined, which yields better results.

[0095] like Figure 7 As shown, this embodiment of the invention also provides a monitoring device for distributed power equipment, the device comprising:

[0096] The health determination module 100 is used to collect power data from various distributed power devices in multiple dimensions and determine the health of each power generation device based on the power data.

[0097] The power generation equipment classification module 200 is used to determine the trend of health status changes for each power generation equipment, and classifies the power generation equipment into three categories based on health status and trends: no maintenance required, immediate maintenance required, and scheduled maintenance required.

[0098] The theoretical power generation calculation module 300 is used to collect environmental information and predict the theoretical power generation of each power generation device within a set time period based on the environmental information. Power generation devices that are under immediate maintenance do not participate in power generation.

[0099] The theoretical electricity consumption calculation module 400 is used to predict the theoretical electricity consumption of each electricity consumption area within a future set time period based on historical electricity consumption data.

[0100] The scheduled maintenance execution module 500 is used to determine the grid purchase volume and the power generation equipment to be scheduled for maintenance based on theoretical power generation, theoretical power consumption and the safe threshold for purchased power.

[0101] In a preferred embodiment of the present invention, the power generation equipment classification module 200 includes:

[0102] The trend determination unit is used to retrieve several health values ​​of each power generation device within the most recent set time period and determine the trend of health value changes. The trend of changes is either continuous decline, continuous rise, stable fluctuation, or violent fluctuation. Continuous decline and continuous rise correspond to a change slope.

[0103] The scope determination unit is used to determine the scope of health status, which includes the safe range, the qualified range, and the maintenance range.

[0104] The first category determination unit is used to determine the corresponding power generation equipment to be immediately repaired when the trend of health changes is drastic fluctuation.

[0105] The second category determination unit is used to determine the corresponding power generation equipment as not requiring maintenance when the health status is within the safe range, and to determine the corresponding power generation equipment as requiring immediate maintenance when the health status is within the maintenance range.

[0106] The third category determination unit is used to determine whether the trend of change is a continuous decline when the health level is within the acceptable range. If neither of these conditions is met, it is determined that no maintenance is required. If the health level is a continuous decline, it calculates the percentage of the health level within the maintenance range in the future set time period based on the slope of change. If the percentage is greater than the percentage threshold, it is determined that immediate maintenance is required; otherwise, it is determined that scheduled maintenance is required.

[0107] In a preferred embodiment of the present invention, the scheduled maintenance execution module 500 includes:

[0108] The repairable power generation unit is used to calculate the repairable power generation. Repairable power generation = safe threshold for purchased electricity - (total theoretical electricity consumption - total theoretical power generation).

[0109] The scheduled maintenance determination unit is used to compare the repairable power generation with the theoretical power generation of each scheduled maintenance equipment to determine the power generation equipment to be scheduled for maintenance.

[0110] The grid purchase electricity unit is used to recalculate the total theoretical power generation after deducting the theoretical power generation of the power generation equipment that is scheduled for maintenance, and to determine the grid purchase electricity. Grid purchase electricity = total theoretical power consumption - total theoretical power generation.

[0111] In a preferred embodiment of the present invention, the scheduled maintenance determination unit includes:

[0112] The information retrieval subunit is used to retrieve the theoretical power generation and corresponding health status of each scheduled maintenance power generation equipment;

[0113] The power generation equipment combination subunit is used to determine all eligible power generation equipment combinations based on the repairable power generation capacity. The sum of the theoretical power generation capacity of the power generation equipment scheduled for maintenance in each power generation equipment combination is A≤Repairable power generation capacity Z.

[0114] The optimal combination determination sub-unit is used to calculate the average health value B for each power generation equipment combination, and to determine the optimal combination base G. The power generation equipment combination with the largest value in G is determined as the power generation equipment to be scheduled for maintenance in this operation, and K1 and K2 are weighting coefficients.

[0115] The above description only details the preferred embodiments of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0116] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the disclosure in the specification and embodiments. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the claims.

Claims

1. A method for monitoring distributed power equipment, characterized in that, The method includes the following steps: Collect power data from various distributed power devices from multiple dimensions, and determine the health status of each power generation device based on the power data; Determine the trend of health status changes for each power generation device, and classify the power generation devices into three categories based on health status and trends: no maintenance required, immediate maintenance required, and scheduled maintenance required. Collect environmental information and predict the theoretical power generation of each power generation device within a set time period based on the environmental information. Power generation devices that are to be repaired immediately will not participate in power generation. Predict the theoretical electricity consumption of each electricity consumption area within a specified future time period based on historical electricity consumption data; The grid purchase volume is determined based on theoretical power generation, theoretical power consumption, and the safe threshold for power purchase, and the power generation equipment to be subject to scheduled maintenance is also determined. The steps of determining the grid purchase volume and identifying the power generation equipment to be scheduled for maintenance based on theoretical power generation, theoretical power consumption, and a safe threshold for purchased power volume specifically include: calculating the repairable power generation, where repairable power generation = safe threshold for purchased power volume - (total theoretical power consumption - total theoretical power generation); comparing the repairable power generation with the theoretical power generation of each scheduled power generation equipment to determine the power generation equipment to be scheduled for maintenance; deducting the theoretical power generation of the power generation equipment to be scheduled for maintenance, recalculating the total theoretical power generation, and determining the grid purchase volume, where grid purchase volume = total theoretical power consumption - total theoretical power generation. The step of determining the power generation equipment to be scheduled for maintenance includes: retrieving the theoretical power generation and corresponding health status of each scheduled power generation equipment; determining all eligible power generation equipment combinations based on the repairable power generation, where the sum of the theoretical power generation of the scheduled power generation equipment in each combination, A, is less than or equal to the repairable power generation, Z; calculating the average health status B of each power generation equipment combination; and determining the optimal combination base number G. The power generation equipment combination with the largest value in G is determined as the power generation equipment to be scheduled for maintenance in this operation, and K1 and K2 are weighting coefficients.

2. The method for monitoring distributed power equipment according to claim 1, characterized in that, The step of determining the health status of each power generation device based on power data specifically includes: The power generation type of each power generation device is determined, including photovoltaic power generation, hydropower generation, and wind power generation; Based on the power generation type, a health measurement model is determined for each power generation device. The collected power data is input into the corresponding health measurement model to calculate the health status of each power generation device.

3. The method for monitoring distributed power equipment according to claim 1, characterized in that, The step of determining the trend of health status changes for each power generation device, and classifying the power generation devices into three categories based on health status and trends: no maintenance required, immediate maintenance required, and scheduled maintenance required, specifically includes: Retrieve several health values ​​of each power generation device within the most recently set time period, and determine the trend of health value change. The trend of change is either continuous decline, continuous rise, stable fluctuation, or violent fluctuation. Continuous decline and continuous rise correspond to a change slope. Determine the health status range, which includes the safe range, the qualified range, and the maintenance range; When the health status shows a drastic fluctuation, the corresponding power generation equipment is identified as requiring immediate maintenance. When the health status is within the safe range, the corresponding power generation equipment is determined to require no maintenance; when the health status is within the maintenance range, the corresponding power generation equipment is determined to require immediate maintenance. When the health level is within the acceptable range, determine whether the trend is a continuous decline. If neither is true, it is determined that no maintenance is required. If it is a continuous decline, calculate the percentage of the health level that is within the maintenance range in the future set time period based on the slope of the change. If the percentage is greater than the percentage threshold, it is determined that immediate maintenance is required; otherwise, it is scheduled for maintenance.

4. The method for monitoring distributed power equipment according to claim 1, characterized in that, The step of predicting the theoretical electricity consumption of each electricity consumption area within a future set time period based on historical electricity consumption data specifically includes: The training and test sets were determined by using historical electricity consumption data from various electricity consumption areas, and the ARIMA model was constructed and validated. Acquire external feature data, including weather information and holiday information; By inputting weather and holiday information for a future time period into the ARIMA model, the theoretical electricity consumption of each electricity consumption area can be obtained.

5. A monitoring device for distributed power equipment, characterized in that, The device includes: The health determination module is used to collect power data from various distributed power devices from multiple dimensions and determine the health of each power generation device based on the power data. The power generation equipment classification module is used to determine the trend of health status changes for each power generation equipment. Based on the health status and the trend of changes, the power generation equipment is divided into three categories: no maintenance required, immediate maintenance required, and scheduled maintenance. The theoretical power generation calculation module is used to collect environmental information and predict the theoretical power generation of each power generation device within a set time period based on the environmental information. Power generation devices that are under immediate maintenance will not participate in power generation. The theoretical electricity consumption calculation module is used to predict the theoretical electricity consumption of each electricity consumption area within a future set time period based on historical electricity consumption data. The scheduled maintenance execution module is used to determine the grid purchase volume and the power generation equipment to be scheduled for maintenance based on theoretical power generation, theoretical power consumption and the safe threshold for purchased electricity. The scheduled maintenance execution module includes: a maintainable power generation unit for calculating maintainable power generation, where maintainable power generation = purchase power safety threshold - (total theoretical power consumption - total theoretical power generation); a scheduled maintenance determination unit for comparing maintainable power generation with the theoretical power generation of each scheduled maintenance equipment to determine the maintenance equipment to be performed; and a grid purchase power unit for deducting the theoretical power generation of the maintenance equipment to recalculate the total theoretical power generation and determine the grid purchase power, where grid purchase power = total theoretical power consumption - total theoretical power generation. The scheduled maintenance determination unit includes: an information retrieval subunit, used to retrieve the theoretical power generation and corresponding health status of each scheduled maintenance power generation equipment; a power generation equipment combination subunit, used to determine all eligible power generation equipment combinations based on the repairable power generation, where the sum of the theoretical power generation of the scheduled maintenance power generation equipment in each power generation equipment combination, A, is less than or equal to the repairable power generation Z; and an optimal combination determination subunit, used to calculate the average health status B of each power generation equipment combination and determine the optimal combination base G. The power generation equipment combination with the largest value in G is determined as the power generation equipment to be scheduled for maintenance in this operation, and K1 and K2 are weighting coefficients.

6. The monitoring device for distributed power equipment according to claim 5, characterized in that, The power generation equipment classification module includes: The trend determination unit is used to retrieve several health values ​​of each power generation device within the most recent set time period and determine the trend of health value changes. The trend of changes is either continuous decline, continuous rise, stable fluctuation, or violent fluctuation. Continuous decline and continuous rise correspond to a change slope. The scope determination unit is used to determine the scope of health status, which includes the safe range, the qualified range, and the maintenance range. The first category determination unit is used to determine the corresponding power generation equipment to be immediately repaired when the trend of health changes is drastic fluctuation. The second category determination unit is used to determine the corresponding power generation equipment as not requiring maintenance when the health status is within the safe range, and to determine the corresponding power generation equipment as requiring immediate maintenance when the health status is within the maintenance range. The third category determination unit is used to determine whether the trend of change is a continuous decline when the health level is within the acceptable range. If neither of these conditions is met, it is determined that no maintenance is required. If the health level is a continuous decline, it calculates the percentage of the health level within the maintenance range in the future set time period based on the slope of change. If the percentage is greater than the percentage threshold, it is determined that immediate maintenance is required; otherwise, it is determined that scheduled maintenance is required.

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