Supervision method and device for distributed power equipment

Abstract

The invention is suitable for the technical field of power supervision, and provides a distributed power equipment supervision method and device, and the method comprises the following steps: collecting the power data of each distributed power equipment in multiple dimensions, and determining the health degree of each power generation equipment based on the power data; determining the change trend of the health degree of each power generation device, and dividing the power generation devices into three types of maintenance-free, immediate maintenance and reserved maintenance according to the health degree and the change trend; environment information is collected, the theoretical power generation amount of each power generation device in a future set time period is predicted based on the environment information, and the power generation device which is overhauled immediately does not participate in power generation; predicting theoretical power consumption of each power consumption area in a future set time period based on the historical power consumption data; and based on the theoretical generating capacity, the theoretical power consumption and the power purchase safety threshold, determining the power grid power purchase and determining the power generation equipment executing the reserved maintenance. Therefore, accurate matching and balance of power supply and demand are realized, and stability and reliability of power supply are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of power supervision, and particularly to a supervision method and device for distributed power equipment. Background Art

[0002] With the optimization of the energy structure and the development of smart grids, 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 scattered geographical locations, providing additional power supply to the 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 and wide distribution of distributed power equipment, it is difficult to achieve comprehensive and real-time supervision of these devices by traditional methods; in addition, when current power equipment is under maintenance, the power equipment cannot supply power, which is likely to affect the power supply of the grid and there is no good overall planning. Therefore, a supervision method and device for distributed power equipment are needed to solve the above problems. Summary of the Invention

[0003] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide a supervision method and device for distributed power equipment to solve the problems in the above background art.

[0004] The present invention is implemented as follows. A supervision method for distributed power equipment, the method includes the following steps: Collect power data of each distributed power equipment from multiple dimensions, and determine the health status of each power generation equipment based on the power data; Determine the change trend of the health status of each power generation equipment, and classify the power generation equipment into three categories: no maintenance required, immediate maintenance, and scheduled maintenance according to the health status and the change trend; Collect environmental information, predict the theoretical power generation of each power generation equipment within a set future time period based on the environmental information, and the power generation equipment that requires immediate maintenance does not participate in power generation; Predict the theoretical power consumption of each power consumption area within a set future time period based on historical power consumption data; Determine the grid power purchase quantity based on the theoretical power generation, theoretical power consumption and the safety threshold of the power purchase quantity, and determine the power generation equipment that will perform scheduled maintenance this time.

[0005] As a further solution of the present invention: the step of determining the health status of each power generation equipment based on the power data specifically includes: Determine the power generation type of each power generation equipment, and the power generation type includes photovoltaic power generation, hydroelectric power generation and wind power generation; Determine the health measurement model of each power generation equipment according to the power generation type, input the collected power data into the corresponding health measurement model, and calculate the health status of each power generation equipment.

[0006] As a further solution of the present invention, the step of determining the changing trend of the health of each power generation equipment and classifying the power generation equipment into three categories of no maintenance required, immediate maintenance and scheduled maintenance according to the health and the changing trend specifically includes: Retrieving several health indicators of each power generation equipment within a recently set time period to determine a change trend of the health indicator, wherein the change trend is continuous decline, continuous rise, stable fluctuation or violent fluctuation, and continuous decline and continuous rise have corresponding change slopes; Determine the range of health, which includes safety range, qualified range and maintenance range; When the trend of health status changes drastically, the corresponding power generation equipment is determined to be immediately overhauled; When the health level is within the safe range, the corresponding power generation equipment is determined to be in no need of maintenance; when the health level is within the maintenance range, the corresponding power generation equipment is determined to be in immediate maintenance; When the health degree is within the qualified range, determine whether the change trend is a continuous decline. If it is not, determine that no maintenance is required. If it is a continuous decline, calculate the proportion of the health degree to the maintenance range within the future set time period based on the change slope. When the proportion is greater than the proportion threshold, determine to perform immediate maintenance, otherwise it is scheduled maintenance.

[0007] As a further solution of the present invention: the step of predicting the theoretical power consumption of each power consumption area within a future set time period based on the historical power consumption data specifically includes: The training set and test set are determined by the historical electricity consumption data of each electricity consumption area, and the ARIMA model is constructed and verified. Acquire external characteristic data, which includes weather information and holiday information; The weather information and holiday information within the future set time period are input into the ARIMA model to obtain the theoretical power consumption of each power consumption area.

[0008] As a further solution of the present invention: the step of determining the power grid purchase amount and determining the power generation equipment for scheduled maintenance based on the theoretical power generation, theoretical power consumption and the safety threshold of the purchase amount specifically includes: Calculate the repairable power generation, which is the safety threshold of purchased power - (theoretical total power consumption - theoretical total power generation); Compare the maintainable power generation with the theoretical power generation of each power generation equipment scheduled for maintenance, and determine the power generation equipment to be scheduled for maintenance this time; After deducting the theoretical power generation of the power generation equipment that is scheduled for maintenance, recalculate the total theoretical power generation and determine the amount of power purchased by the power grid. The amount of power purchased by the power grid = total theoretical power consumption - total theoretical power generation.

[0009] As a further solution of the present invention, the step of determining the power generation equipment for which scheduled maintenance is to be performed this time specifically includes Retrieving the theoretical power generation amount and the corresponding health degree of each power generation equipment for which scheduled maintenance is to be performed; Determining all eligible combinations of power generation equipment according to the power generation amount available for maintenance, where the sum A of the theoretical power generation amounts of the power generation equipment for which scheduled maintenance is included in each combination of power generation equipment ≤ the power generation amount Z available for maintenance; Calculating the average health degree B of each combination of power generation equipment and determining the optimal combination base G, and determining the combination of power generation equipment with the largest G as the power generation equipment for which scheduled maintenance is to be performed this time, where K1 and K2 are weight coefficients.

[0010] Another object of the present invention is to provide a supervision device for distributed power equipment, and the device includes: A health degree determination module, configured to collect power data of each distributed power equipment from multiple dimensions and determine the health degree of each power generation equipment based on the power data; A power generation equipment classification module, configured to determine the change trend of the health degree of each power generation equipment, and classify the power generation equipment into three categories: no maintenance required, immediate maintenance required, and scheduled maintenance required according to the health degree and the change trend; A theoretical power generation amount calculation module, configured to collect environmental information and predict the theoretical power generation amount of each power generation equipment within a set future time period based on the environmental information, and the power generation equipment that requires immediate maintenance does not participate in power generation; A theoretical power consumption calculation module, configured to predict the theoretical power consumption of each power consumption area within a set future time period based on historical power consumption data; A scheduled maintenance execution module, configured to determine the grid power purchase amount based on the theoretical power generation amount, the theoretical power consumption amount, and the power purchase safety threshold, and determine the power generation equipment for which scheduled maintenance is to be performed this time.

[0011] As a further solution of the present invention: the power generation equipment classification module includes: A change trend determination unit, configured to retrieve several health degrees of each power generation equipment within a recently set time period and determine the change trend of the health degree, where the change trend is continuous decline, continuous rise, stable fluctuation, or violent fluctuation, and continuous decline and continuous rise correspond to change slopes; A scope determination unit, configured to determine the scope to which the health degree belongs, and the scope is a safe scope, a qualified scope, and a maintenance scope; A first category determination unit, configured to determine the corresponding power generation equipment as requiring immediate maintenance when the change trend of the health degree is violent fluctuation; A second category determination unit, configured to determine the corresponding power generation equipment as not requiring maintenance when the health degree belongs to the safe scope; and determine the corresponding power generation equipment as requiring immediate maintenance when the health degree belongs to the maintenance scope; The third category determination unit is used to determine whether the change trend belongs to continuous decline when the health degree is within the qualified range. When neither of them belongs, it is determined that no maintenance is required; when it belongs to continuous decline, calculate the proportion of the health degree within the maintenance range in the future set time period based on the change slope. When the proportion is greater than the proportion threshold, it is determined to perform immediate maintenance, otherwise it is scheduled maintenance.

[0012] As a further solution of the present invention: The scheduled maintenance execution module includes: The repairable power generation unit is used to calculate the repairable power generation, and the repairable power generation = the safety threshold of the power purchase amount - (the total theoretical power consumption - the total theoretical power generation); The scheduled maintenance determination unit is used to compare the repairable power generation with the theoretical power generation of each power generation equipment for scheduled maintenance to determine the power generation equipment for which scheduled maintenance is performed this time; The power grid power purchase unit is used to recalculate the total theoretical power generation after deducting the theoretical power generation of the power generation equipment for which scheduled maintenance is performed this time, and determine the power grid power purchase amount. The power grid power purchase amount = the total theoretical power consumption - the total theoretical power generation.

[0013] As a further solution of the present invention: The scheduled maintenance determination unit includes: The information retrieval sub-unit is used to retrieve the theoretical power generation and the corresponding health degree of each power generation equipment for scheduled maintenance; The power generation equipment combination sub-unit is used to determine all eligible power generation equipment combinations according to the repairable power generation. The sum A of the theoretical power generations of the power generation equipment for scheduled maintenance in each power generation equipment combination ≤ the repairable power generation Z; The best combination determination sub-unit is used to calculate the average health degree B of each power generation equipment combination and determine the best combination base number G, , and determine that the power generation equipment combination with the largest G is the power generation equipment for which scheduled maintenance is performed this time. K1 and K2 are weight coefficients.

[0014] Compared with the prior art, the beneficial effects of the present invention are: The present invention will determine the health degree of each power generation equipment, realizing real-time and comprehensive supervision of distributed power equipment. At the same time, it will determine the change trend of the health degree of each power generation equipment, and classify the power generation equipment into three categories: no maintenance required, immediate maintenance, and scheduled maintenance according to the health degree and the change trend. Potential faults of the equipment can be detected in time through the health degree and the change trend, avoiding the expansion of faults and the occurrence of safety accidents. The present invention will determine the power grid power purchase amount and the power generation equipment for which scheduled maintenance is performed this time according to the theoretical power generation, theoretical power consumption, and the safety threshold of the power purchase amount, realizing accurate matching and balance of power supply and demand, ensuring the stability and reliability of power supply, and avoiding affecting the power grid power supply. Description of the Drawings

[0015] Figure 1 It is a flowchart of a supervision method for distributed power equipment.

[0016] Figure 2 It is a flowchart for determining the health degree in a supervision method for distributed power equipment.

[0017] Figure 3 It is a flowchart for classifying power generation equipment in a supervision method for distributed power equipment.

[0018] Figure 4 It is a flowchart for predicting the theoretical power consumption in a supervision method for distributed power equipment.

[0019] Figure 5 It is a flowchart for determining the grid power purchase amount in a supervision method for distributed power equipment.

[0020] Figure 6 It is a flowchart for determining the power generation equipment for which preventive maintenance is to be performed this time in a supervision method for distributed power equipment.

[0021] Figure 7 It is a schematic structural diagram of a supervision device for distributed power equipment. Detailed implementation manners

[0022] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present 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 only used to explain the present invention and are not used to limit the present invention.

[0023] The following describes the specific implementation of the present invention in detail with reference to specific embodiments.

[0024] As Figure 1 shown, an embodiment of the present invention provides a supervision method for distributed power equipment, and the method includes the following steps: S100, collect power data of each distributed power equipment from multiple dimensions, and determine the health degree of each power generation equipment based on the power data; S200, determine the change trend of the health degree of each power generation equipment, and classify the power generation equipment into three categories: no maintenance required, immediate maintenance, and preventive maintenance according to the health degree and the change trend; S300, collect environmental information, predict the theoretical power generation amount of each power generation equipment within a set future time period based on the environmental information, and the power generation equipment that requires immediate maintenance does not participate in power generation; S400, predict the theoretical power consumption of each power consumption area within a set future time period based on historical power consumption data; S500. Determine the grid power purchase amount based on the theoretical power generation amount, the theoretical power consumption amount, and the safety threshold of the power purchase amount, and determine the power generation equipment for which scheduled maintenance is to be performed this time.

[0025] In the embodiments of the present invention, various sensors are first arranged on power equipment to collect power data of each distributed power equipment in multiple dimensions, determine the health of each power generation equipment, realize real-time and comprehensive supervision of the distributed power equipment, reduce the frequency of manual inspections and regular maintenance, and improve the supervision efficiency. At the same time, the change trend of the health of each power generation equipment will be determined, and the power generation equipment will be divided into three categories: no maintenance required, immediate maintenance, and scheduled maintenance according to the health and change trend. Potential faults of the equipment can be detected in time through the health and change trend, avoiding the expansion of faults and the occurrence of safety accidents. Then, environmental information will be collected, and the environmental information includes light intensity, wind speed, and water flow. Then, based on the environmental information, the theoretical power generation amount of each power generation equipment in a future set time period will be predicted. The theoretical power generation amount is = ∫ power generation power(t)dt. For different power generation types, the calculation method of the power generation power is different. For example, for a photovoltaic power generation equipment, the power generation power = 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 attenuation rate of the photovoltaic module. In the embodiments of the present invention, the inherent parameters of the equipment are known, that is, η1, A, and α are known. Then, the theoretical power consumption amount of each power consumption area in a future set time period will be predicted through historical power consumption data. Here, the power consumption area refers to the area covered by the distributed power equipment. Then, the grid power purchase amount will be determined based on the theoretical power generation amount, the theoretical power consumption amount, and the safety threshold of the power purchase amount, and the power generation equipment for which scheduled maintenance is to be performed this time will be determined. The grid power purchase amount refers to the amount of electricity purchased from the grid to make up for the power consumption gap. It is easy to understand that the grid power purchase amount should not be too much to reduce the power supply pressure of the grid. In the embodiments of the present invention, the power generation equipment for which scheduled maintenance is to be performed this time will be determined through overall planning. The power generation equipment for which scheduled maintenance has not been determined will not be maintained this time and will continue to generate electricity, realizing the precise matching and balance of power supply and demand and ensuring the stability and reliability of power supply.

[0026] As Figure 2 shown, as a preferred embodiment of the present invention, the step of determining the health of each power generation equipment based on power data specifically includes: S101. Determine the power generation type of each power generation equipment, and the power generation type includes photovoltaic power generation, hydroelectric power generation, and wind power generation; S102. Determine the health measurement model of each power generation equipment according to the power generation type, and input the collected power data into the corresponding health measurement model to calculate the health of each power generation equipment.

[0027] In the embodiments of the present invention, after determining the power generation type of each power generation device, the health calculation model of each power generation device will be retrieved according to the power generation type. The health calculation model is pre-constructed. For example, the health calculation model for hydropower generation 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, 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 weight coefficients, and Hin, Hout, and the vibration frequency are all power data, which are all collected through 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.

[0028] As Figure 3 shown, as a preferred embodiment of the present invention, the steps of determining the change trend of the health degree of each power generation device and classifying the power generation devices into three categories of no maintenance required, immediate maintenance, and scheduled maintenance according to the health degree and the change trend specifically include: S201, retrieve the health degrees of each power generation device within a recently set time period, and determine the change trend of the health degree. The change trend is continuous decline, continuous rise, stable fluctuation, or violent fluctuation. Continuous decline and continuous rise correspond to change slopes; S202, determine the range to which the health degree belongs. The range is the safe range, the qualified range, and the maintenance range; S203, when the change trend of the health degree is violent fluctuation, determine the corresponding power generation device for immediate maintenance; S204, when the health degree belongs to the safe range, determine the corresponding power generation device as not requiring maintenance; when the health degree belongs to the maintenance range, determine the corresponding power generation device for immediate maintenance; S205, when the health degree is within the qualified range, determine whether the change trend belongs to continuous decline. When neither belongs, determine as not requiring maintenance; when it belongs to continuous decline, calculate the ratio of the health degree within the maintenance range in the future set time period based on the change slope. When the ratio is greater than the ratio threshold, determine for immediate maintenance, otherwise for scheduled maintenance.

[0029] In the embodiments of the present invention, in order to better classify devices, first, the health data of each power generation device within the recently set time period (such as the most recent half month) is retrieved to determine the change trend of the health. The change trend is continuous decline, continuous increase, stable fluctuation or violent fluctuation. Continuous decline and continuous increase correspond to change slopes. Specifically, if the data points generally show an upward trend from left to right, then the curve shows a continuous upward trend. On the contrary, if the data points generally show a downward trend, then the curve shows a continuous downward trend. If the data points fluctuate up and down within a certain range, but there is no obvious upward or downward trend and the fluctuation amplitude is relatively small, it is a stable fluctuation. If the data point fluctuation amplitude is large, frequently changes from high to low or from low to high, and the gap between the peak value and the valley value is greater than a certain value, it is a violent fluctuation. Then, the range to which the health belongs is determined. The range is the safe range, the qualified range, and the maintenance range. Each range corresponds to a health interval. When the change trend of the health is violent fluctuation, it indicates extremely instability, and the corresponding power generation device is determined to be immediately maintained. When the health belongs to the safe range, the corresponding power generation device is determined to not require maintenance; when the health belongs to the maintenance range, the corresponding power generation device is determined to be immediately maintained. When the health is in the qualified range, it is determined whether the change trend belongs to continuous decline. When neither belongs, it is determined not to require maintenance; when it belongs to continuous decline, based on the change slope, the proportion of the health in the maintenance range within the future set time period is calculated. When the proportion is greater than the proportion threshold, it is determined to be immediately maintained, otherwise it is reserved for maintenance. The proportion threshold is a fixed value set in advance. The embodiments of the present invention combine the health and the change trend for scientific and accurate classification.

[0030] As Figure 4 shown, as a preferred embodiment of the present invention, the step of predicting the theoretical electricity consumption of each power consumption area within the future set time period based on historical electricity consumption data specifically includes: S401, determining a training set and a test set through the historical electricity consumption data of each power consumption area, constructing an ARIMA model and performing model verification; S402, obtaining external feature data, where the external feature data includes weather information and holiday information; S403, inputting the weather information and holiday information within the future set time period into the ARIMA model to obtain the theoretical electricity consumption of each power consumption area.

[0031] In the embodiments of the present invention, in order to predict the theoretical power consumption, time features (such as hour, day of the week, month, season, whether it is a holiday) and weather features (such as temperature, humidity) in historical power consumption data are extracted, a training set and a test set are determined, an ARIMA model is constructed, the model parameters are determined through the autocorrelation function (ACF) and the partial autocorrelation function (PACF), the parameters are optimized using the grid search method, the model is trained and saved; then the model is verified based on the test set. After passing the verification, external feature data is obtained, and the external feature data includes weather information and holiday information. By inputting the external feature data into the ARIMA model, the theoretical power consumption of each power consumption area can be obtained.

[0032] As Figure 5 shown, as a preferred embodiment of the present invention, the steps of determining the grid power purchase amount based on the theoretical power generation amount, the theoretical power consumption amount and the power purchase safety threshold and determining the power generation equipment to be subjected to the scheduled maintenance this time specifically include: S501, calculate the power generation amount that can be maintained. The power generation amount that can be maintained = power purchase safety threshold - (total theoretical power consumption amount - total theoretical power generation amount); S502, compare the power generation amount that can be maintained with the theoretical power generation amount of each power generation equipment to be subjected to the scheduled maintenance, and determine the power generation equipment to be subjected to the scheduled maintenance this time; S503, after deducting the theoretical power generation amount of the power generation equipment to be subjected to the scheduled maintenance this time, recalculate the total theoretical power generation amount, and determine the grid power purchase amount. The grid power purchase amount = total theoretical power consumption amount - total theoretical power generation amount.

[0033] In the embodiments of the present invention, in order to achieve as precise a matching and balance of power supply and demand as possible and reduce the grid pressure, the power generation amount that can be maintained is calculated. The power generation amount that can be maintained = power purchase safety threshold - (total theoretical power consumption amount - total theoretical power generation amount). The power purchase safety threshold is a fixed value set in advance according to experience. When the power purchase amount is within the safety threshold, it will not affect the power grid. Then, the power generation amount that can be maintained is compared with the theoretical power generation amount of each power generation equipment to be subjected to the scheduled maintenance, and the power generation equipment to be subjected to the scheduled maintenance this time is determined, and these power generation equipment will not supply power. Then, after deducting the theoretical power generation amount of the power generation equipment to be subjected to the scheduled maintenance this time, the total theoretical power generation amount is recalculated, and the final grid power purchase amount is determined. If the grid power purchase amount is negative, it means that power can be supplied to the power grid.

[0034] As Figure 6 shown, as a preferred embodiment of the present invention, the steps of determining the power generation equipment to be subjected to the scheduled maintenance this time specifically include S5021, retrieve the theoretical power generation amount and the corresponding health degree of each power generation equipment to be subjected to the scheduled maintenance; S5022, determining all eligible power generation equipment combinations according to the repairable power generation, where the sum of the theoretical power generation of the power generation equipment scheduled for maintenance in each power generation equipment combination A ≤ the repairable power generation Z; S5023, calculate the average health level B of each power generation equipment combination and determine the optimal combination base G, , determine the power generation equipment combination with the largest G as the power generation equipment to be scheduled for maintenance this time, and K1 and K2 are weight coefficients.

[0035] In an embodiment of the present invention, in order to better determine which power generation equipment participates in this maintenance, all eligible power generation equipment combinations are determined based on the maintainable power generation, and the sum of the theoretical power generation of the power generation equipment scheduled for maintenance in each power generation equipment combination A≤the maintainable power generation Z, and then the average health value B of each power generation equipment combination is calculated, and the optimal power generation equipment combination is determined by combining A and B, which has a better effect.

[0036] like Figure 7 As shown, an embodiment of the present invention further provides a monitoring device for distributed power equipment, the device comprising: The health determination module 100 is used to collect power data of each distributed power device in multiple dimensions and determine the health of each power generation device based on the power data; The power generation equipment classification module 200 is used to determine the change trend of the health of each power generation equipment, and classify the power generation equipment into three categories: no maintenance required, immediate maintenance, and scheduled maintenance according to the health and change trend; Theoretical power generation calculation module 300, used to collect environmental information, and predict 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 under immediate maintenance does not participate in power generation; Theoretical power consumption calculation module 400 is used to predict the theoretical power consumption of each power consumption area within a future set time period based on historical power consumption data; The scheduled maintenance execution module 500 is used to determine the power grid purchase amount and the power generation equipment for scheduled maintenance based on the theoretical power generation, theoretical power consumption and the safety threshold of the purchased power.

[0037] As a preferred embodiment of the present invention, the power generation equipment classification module 200 includes: A change trend determination unit is used to retrieve several health levels of each power generation equipment within a recently set time period and determine a change trend of the health level, wherein the change trend is continuous decline, continuous rise, stable fluctuation or violent fluctuation, and continuous decline and continuous rise have corresponding change slopes; The range determination unit is used to determine the range of health, which includes safety range, qualified range and maintenance range; The first category determination unit is used to determine the corresponding power generation equipment for immediate maintenance when the change trend of the health degree is violently fluctuating; The second category determination unit is used to determine that the corresponding power generation equipment does not need maintenance when the health degree is within the safe range; when the health degree is within the maintenance range, determine the corresponding power generation equipment for immediate maintenance; The third category determination unit is used to determine whether the change trend belongs to continuous decline when the health degree is within the qualified range. When neither belongs, it is determined that no maintenance is required; when it belongs to continuous decline, calculate the proportion of the health degree within the maintenance range in the future set time period based on the change slope. When the proportion is greater than the proportion threshold, it is determined for immediate maintenance, otherwise it is reserved maintenance.

[0038] As a preferred embodiment of the present invention, the reserved maintenance execution module 500 includes: The maintainable power generation amount unit is used to calculate the maintainable power generation amount, and the maintainable power generation amount = the safe threshold of power purchase amount - (the total theoretical power consumption amount - the total theoretical power generation amount); The reserved maintenance determination unit is used to compare the maintainable power generation amount with the theoretical power generation amount of each power generation equipment for reserved maintenance, and determine the power generation equipment for which reserved maintenance is performed this time; The power grid power purchase amount unit is used to recalculate the total theoretical power generation amount after deducting the theoretical power generation amount of the power generation equipment for which reserved maintenance is performed this time, and determine the power grid power purchase amount, and the power grid power purchase amount = the total theoretical power consumption amount - the total theoretical power generation amount.

[0039] As a preferred embodiment of the present invention, the reserved maintenance determination unit includes: The information retrieval sub-unit is used to retrieve the theoretical power generation amount and the corresponding health degree of each power generation equipment for reserved maintenance; The power generation equipment combination sub-unit is used to determine all eligible power generation equipment combinations according to the maintainable power generation amount, and the sum A of the theoretical power generation amounts of the power generation equipment for reserved maintenance in each power generation equipment combination ≤ the maintainable power generation amount Z; The best combination determination sub-unit is used to calculate the average health degree B of each power generation equipment combination and determine the best combination base number G, , and determine that the power generation equipment combination with the largest G is the power generation equipment for which reserved maintenance is performed this time, and K1 and K2 are weight coefficients.

[0040] The above only describes the preferred embodiments of the present invention in detail and is not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

[0041] Other embodiments of the present disclosure will be readily apparent to those skilled in the art upon consideration of the specification and the disclosure of the embodiments. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include known common general knowledge or conventional technical means in the technical field not disclosed in the present disclosure. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the claims.

Claims

1. A method for supervising distributed power equipment, characterized in that: The method comprises the following steps: Collect power data of each distributed power device in multiple dimensions and determine the health of each power generation device based on the power data; Determine the changing trend of the health status of each power generation equipment, and classify the power generation equipment into three categories: no maintenance required, immediate maintenance, and scheduled maintenance according to the health status and changing trend; Collect environmental information, and predict the theoretical power generation of each power generation equipment in a future set time period based on the environmental information. The power generation equipment that is under immediate maintenance will not participate in power generation; Predict theoretical power consumption of each power consumption area within a set time period in the future based on historical power consumption data; Based on the theoretical power generation, theoretical power consumption and the safety threshold of power purchase, the power grid purchase amount is determined and the power generation equipment for the scheduled maintenance is determined.

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

3. The method for monitoring distributed power equipment according to claim 1, characterized in that: The step of determining the change trend of the health of each power generation equipment and classifying the power generation equipment into three categories of no maintenance required, immediate maintenance, and scheduled maintenance according to the health and change trend specifically includes: Retrieving several health indicators of each power generation equipment within a recently set time period to determine a change trend of the health indicator, wherein the change trend is continuous decline, continuous rise, stable fluctuation or violent fluctuation, and continuous decline and continuous rise have corresponding change slopes; Determine the range of health, which includes safety range, qualified range and maintenance range; When the trend of health status changes drastically, the corresponding power generation equipment is determined to be immediately overhauled; When the health level is within the safe range, the corresponding power generation equipment is determined to be in no need of maintenance; when the health level is within the maintenance range, the corresponding power generation equipment is determined to be in immediate maintenance; When the health degree is within the qualified range, determine whether the change trend is a continuous decline. If it is not, determine that no maintenance is required. If it is a continuous decline, calculate the proportion of the health degree to the maintenance range within the future set time period based on the change slope. When the proportion is greater than the proportion threshold, determine to perform immediate maintenance, otherwise it is scheduled maintenance.

4. The method for monitoring distributed power equipment according to claim 1, characterized in that: The step of predicting the theoretical power consumption of each power consumption area within a future set time period based on the historical power consumption data specifically includes: The training set and test set are determined by the historical electricity consumption data of each electricity consumption area, and the ARIMA model is constructed and verified. Acquire external characteristic data, which includes weather information and holiday information; The weather information and holiday information within the future set time period are input into the ARIMA model to obtain the theoretical power consumption of each power consumption area.

5. The method for monitoring distributed power equipment according to claim 1, characterized in that: The step of determining the power grid purchase amount and determining the power generation equipment for scheduled maintenance based on the theoretical power generation, theoretical power consumption and the safety threshold of the purchase amount specifically includes: Calculate the repairable power generation, which is the safety threshold of purchased power - (theoretical total power consumption - theoretical total power generation); Compare the maintainable power generation with the theoretical power generation of each power generation equipment scheduled for maintenance, and determine the power generation equipment to be scheduled for maintenance this time; After deducting the theoretical power generation of the power generation equipment that is scheduled for maintenance, recalculate the total theoretical power generation and determine the amount of power purchased by the power grid. The amount of power purchased by the power grid = total theoretical power consumption - total theoretical power generation.

6. The method for monitoring distributed power equipment according to claim 5, characterized in that: The step of determining the power generation equipment to be scheduled for maintenance specifically includes: Retrieve the theoretical power generation and corresponding health status of each power generation equipment scheduled for maintenance; Determine all eligible power generation equipment combinations based on the repairable power generation, and the sum of the theoretical power generation of the power generation equipment scheduled for maintenance in each power generation equipment combination A≤the repairable power generation Z; Calculate the average health value B of each power generation equipment combination and determine the optimal combination base G. , determine the power generation equipment combination with the largest G as the power generation equipment to be scheduled for maintenance this time, and K1 and K2 are weight coefficients.

7. A monitoring device for distributed power equipment, characterized in that: The device comprises: A health determination module is used to collect power data of each distributed power device in 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 changing trend of the health of each power generation equipment, and classify the power generation equipment into three categories: no maintenance required, immediate maintenance, and scheduled maintenance according to the health and change trend; Theoretical power generation calculation module, used to collect environmental information, and predict the theoretical power generation of each power generation equipment within a future set time period based on the environmental information. The power generation equipment that is under immediate maintenance does not participate in power generation; Theoretical power consumption calculation module, used to predict the theoretical power consumption of each power consumption area within a set time period in the future based on historical power consumption data; The scheduled maintenance execution module is used to determine the power grid's purchased electricity based on the theoretical power generation, theoretical power consumption and the safety threshold of the purchased electricity and determine the power generation equipment for the scheduled maintenance.

8. The monitoring device for distributed power equipment according to claim 7, characterized in that: The power generation equipment classification module includes: A change trend determination unit is used to retrieve several health levels of each power generation equipment within a recently set time period and determine a change trend of the health level, wherein the change trend is continuous decline, continuous rise, stable fluctuation or violent fluctuation, and continuous decline and continuous rise have corresponding change slopes; The range determination unit is used to determine the range of health, which includes safety range, qualified range and maintenance range; The first category determination unit is used to determine that the corresponding power generation equipment needs to be immediately overhauled when the trend of the health status change is a violent fluctuation; The second category determination unit is used to determine that the corresponding power generation equipment does not need maintenance when the health degree is within the safety range; when the health degree is within the maintenance range, the corresponding power generation equipment is determined to be immediately maintained; The third category determination unit is used to determine whether the change trend belongs to a continuous decline when the health level is within the qualified range. If it does not belong to either, it is determined that no maintenance is required. If it belongs to a continuous decline, the proportion of the health level within the maintenance range within a future set time period is calculated based on the change slope. When the proportion is greater than the proportion threshold, it is determined to be an immediate maintenance, otherwise it is a scheduled maintenance.

9. The monitoring device for distributed power equipment according to claim 7, characterized in that: The scheduled maintenance execution module includes: The repairable power generation unit is used to calculate the repairable power generation. The repairable power generation = the safety threshold of the purchased power - (the total theoretical power consumption - the total theoretical power generation); A scheduled maintenance determination unit is used to compare the maintainable power generation with the theoretical power generation of each power generation equipment scheduled for maintenance, and determine the power generation equipment to be scheduled for maintenance this time; The power grid purchase unit is used to deduct the theoretical power generation of the power generation equipment that is scheduled for maintenance, recalculate the total theoretical power generation, and determine the power grid purchase amount. The power grid purchase amount = total theoretical power consumption - total theoretical power generation.

10. The monitoring device for distributed power equipment according to claim 9, characterized in that: The scheduled maintenance determination unit comprises: An information retrieval subunit is used to retrieve the theoretical power generation and corresponding health status of each power generation equipment scheduled for maintenance; The power generation equipment combination subunit is used to determine all eligible power generation equipment combinations according to the repairable power generation, and the sum of the theoretical power generation of the power generation equipment scheduled for maintenance in each power generation equipment combination A ≤ the repairable power generation Z; The optimal combination determination subunit is used to calculate the average health value B of each power generation equipment combination and determine the optimal combination base G. , determine the power generation equipment combination with the largest G as the power generation equipment to be scheduled for maintenance this time, and K1 and K2 are weight coefficients.

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