Intelligent evaluation method and platform for power distribution station loss

Abstract

The application discloses a kind of intelligent evaluation method and platform of power distribution station loss, first to the power distribution equipment in power distribution station is classified, including transformer and non-transformer type power distribution equipment;Determine the influence factor of each type of power distribution equipment about energy loss, system index and comprehensive index, construct the energy loss analysis module of each type of power distribution equipment;Again, based on neural network, construct power distribution station total energy loss estimation model, input sample data set into each energy loss analysis module, the direct energy loss of each power distribution equipment, system index and comprehensive index are obtained by comprehensive calculation to influence factor, based on comprehensive index, the direct energy loss of each power distribution equipment is weighted summation, and the total energy loss of power distribution station is estimated.The application comprehensively considers the various influence factors of the energy loss of power distribution equipment, identifies the weak link of power grid technical line loss in power distribution station through system index and comprehensive index, and can help power grid company to formulate targeted loss reduction measures.

Description

TECHNICAL FIELD

[0001] The application relates to an intelligent evaluation method and platform for power distribution station loss, and belongs to the technical field of power loss analysis. BACKGROUND

[0002] Line loss of a power grid is a comprehensive index for measuring planning and design of the power grid, technical equipment and economic operation, mainly including two important parts of technical line loss and management line loss. The management line loss is mainly caused by abnormal power consumption behaviors of consumers. The technical line loss, also known as theoretical line loss, includes energy loss on grid components (including lines and power distribution stations) and is mainly determined by the grid structure, equipment parameters and operation conditions. Compared with the management line loss, the technical line loss fundamentally determines the power grid loss level.

[0003] In the prior art, when studying the theoretical line loss, the energy loss on lines and power distribution stations is packaged for line loss analysis, and the energy loss analysis of the power distribution station house is relatively rare. However, the analysis result of the energy loss of the power distribution station house directly affects the entire line loss analysis. Meanwhile, the number of devices in the power distribution station house accounts for a high proportion in the entire power grid, and the fluctuation is relatively high. In addition, with the development of the smart grid, more and more smart devices are configured in the power distribution station house. With the increase of the number of devices and the computing power, the influence of the energy loss of the power distribution station house on the entire line loss is more and more obvious. Therefore, it is more and more important to specially analyze the energy loss of the power distribution station house. SUMMARY

[0004] The application provides an intelligent evaluation method and platform for power distribution station loss, which is specially used for analyzing the energy loss of the power distribution station house, comprehensively considers various influence factors of the energy loss of the power distribution equipment, identifies weak links of the technical line loss of the power distribution station through system indexes and comprehensive indexes, and can help the power grid company to formulate targeted loss reduction measures and improve the economic operation level of the power grid company.

[0005] TECHNICAL SOLUTION

[0006] The application provides an intelligent evaluation method and platform for power distribution station loss, which is specially used for analyzing the energy loss of the power distribution station house, comprehensively considers various influence factors of the energy loss of the power distribution equipment, identifies weak links of the technical line loss of the power distribution station through system indexes and comprehensive indexes, and can help the power grid company to formulate targeted loss reduction measures and improve the economic operation level of the power grid company.

[0007] Step 1, classifying the power distribution equipment in the power distribution station, including transformers and non-transformer power distribution equipment;

[0008] Step 2, determining influence factors, system indexes and comprehensive indexes of various power distribution equipment on energy loss, and constructing an energy loss analysis module of various power distribution equipment based on a neural network;

[0009] Step3、generate the test sample data set of various power distribution equipment about the influencing factors, system indicators and comprehensive indicators of energy loss;

[0010] Step4、based on the neural network, build a total energy loss estimation model of the power distribution station, the total energy loss estimation model of the power distribution station includes energy loss analysis modules of each power distribution equipment, input the sample data set into each energy loss analysis module, comprehensively calculate the influencing factors to obtain the direct energy loss, system indicators and comprehensive indicators of each power distribution equipment, based on the comprehensive indicators, weight and sum the direct energy loss of each power distribution equipment to estimate the total energy loss of the power distribution station; use the loss function to evaluate the prediction degree of the actual value of the total energy loss of the power distribution station to the estimated value of the total energy loss of the power distribution station, supervise the training of the total energy loss estimation model of the power distribution station, and obtain the trained total energy loss estimation model of the power distribution station;

[0011] Step5、use the trained total energy loss estimation model of the power distribution station to intelligently evaluate the total energy loss of the power distribution station by taking the equipment parameters and measurement parameters as inputs, and obtain the system indicators, comprehensive indicators and total energy loss estimation value of each power distribution equipment.

[0012] The energy loss analysis module is used to analyze the energy loss of each power distribution equipment in the power distribution station, and the total energy loss estimation model of the power distribution station is used to analyze the total energy loss of the power distribution station. In order to reduce the amount of calculation, the power distribution equipment in the power distribution station is first classified, and then the energy loss analysis module is specifically designed for different power distribution equipment; the most important power distribution equipment in the power distribution station is the transformer, and the line loss caused by the transformer accounts for the most important part of the entire power distribution station, so the power distribution equipment is at least divided into two parts: the transformer and the non-transformer power distribution equipment. In order to make accurate prediction, more detailed classification can be performed, such as main power distribution equipment, auxiliary power distribution equipment, cable equipment, switch equipment, control equipment, etc.; when the power distribution equipment needs to be increased or decreased, the relevant energy loss analysis module can be directly increased or decreased, which is suitable for popularization of technology.

[0013] Specifically, the power distribution equipment in the power distribution station is classified, and the same type of power distribution equipment uses the same structure of energy loss analysis module; the energy loss analysis module of the power distribution equipment includes a direct energy loss calculation unit, a system indicator calculation unit and a comprehensive indicator calculation unit, the direct energy loss calculation unit calculates the direct energy loss of the power distribution equipment according to the equipment parameters and measurement parameters, the system indicator calculation unit calculates the system indicators according to the influencing factors of energy loss, and the comprehensive indicator calculation unit calculates the comprehensive indicators according to the system indicators and corresponding weights;

[0014] The i-th power distribution equipment is denoted as R i , and the direct energy loss obtained by the direct energy loss calculation unit is denoted as Power distribution equipment R i The influencing factors of energy loss include direct energy loss Three-phase load current of the output end And equipment loss period Will As the input features of the system index calculation unit, calculate the system index Including the actual energy loss and the rated energy loss deviation ratio The ratio of actual energy loss to total energy loss Actual energy loss fluctuation rate Based on the three-phase load current of the output end The calculated current load unbalance degree Based on the equipment loss period The generated energy loss increase ratio Where: E total = E in -E out The actual value of the total energy loss of the power distribution station, E in The total input energy of the power distribution station, E out The total output energy of the power distribution station, E rated The rated energy loss of the power distribution equipment R i , The direct energy loss of the power distribution equipment at the same time of the previous working day; the comprehensive index is calculated by the comprehensive index calculation unit by weighting and summing the system indexes Where: λ R , λ T , λ W , λ B , λ C The weighting coefficient; the larger the system index, the larger the energy loss value of the power distribution equipment, and the larger the comprehensive index, the greater the impact of the energy loss of the power distribution equipment on the total energy loss of the power distribution station.

[0015] In this case, the energy loss analysis module is the core content. Considering that the energy loss of distribution equipment is mainly due to the overall layout, equipment mismatch, equipment aging, reactive power ride-through, and the increase of smart devices, this case first adopts a modular design for distribution equipment to facilitate the addition and removal of smart devices. At the same time, multiple considerations are made on factors such as equipment aging, energy consumption ratio, and energy consumption fluctuation. Various system indicators are designed to conduct targeted evaluations of distribution equipment. In addition, comprehensive indicators are used to characterize the impact of a single distribution device on the energy loss of the entire distribution station to reflect the rationality of the overall layout of the distribution station. It should be noted that this case is designed based on a daily load cycle as a whole, and various indicators can also be statistically analyzed through the daily load cycle to facilitate further data statistical analysis. Since the current load imbalance at the output end of the distribution equipment will have a greater impact on the line loss of the distribution network, this case considers it as an important influencing factor, and considers the contribution of a single distribution device to the energy loss of the entire distribution station from a more comprehensive perspective.

[0016] Specifically, each system indicator of the power distribution equipment is assigned an upper threshold. When a system indicator reaches or exceeds the upper threshold, a risk warning is issued, and the corresponding upper threshold is used instead of the system indicator to calculate the comprehensive indicator. Similarly, the comprehensive indicator of the power distribution equipment is assigned an upper threshold. When the comprehensive indicator reaches or exceeds the upper threshold, a risk warning is issued, and the upper threshold is used instead of the comprehensive indicator to estimate the total energy loss of the distribution station. By setting the threshold, it is possible to avoid over-estimating the impact of a single device failure (excessive energy consumption) on total energy consumption.

[0017] Specifically, the estimated total energy loss of the distribution station is The mean absolute error function MAE and the mean absolute percentage error function MAPE are used as loss functions to evaluate the degree to which the estimated value of the total energy loss of the distribution station predicts the actual value of the total energy loss of the distribution station:

[0018]

[0019]

[0020] Where: N represents the number of samples in the test sample data set.

[0021] It should be noted that in addition to the loss function used in this case, other loss functions can also be used for supervised training. As long as the prediction results converge, the purpose of effective supervised training can be achieved.

[0022] Specifically, for non-transformer distribution equipment, the three-phase load current at the output end is ignored and the current load imbalance is not calculated, that is, the current load imbalance is regarded as 0; for transformers, the difference between input energy and output energy is used to calculate energy loss; for non-transformer distribution equipment, the difference between input energy and output energy is used to calculate energy loss, or the power consumption of non-transformer distribution equipment is directly calculated and the power consumption is regarded as energy loss. The method of directly calculating power consumption is used to calculate energy loss because some distribution equipment is difficult to calculate input energy and output energy based on measured values, such as pure power-consuming equipment such as cameras, sensors, intelligent computing platforms, etc., and some reactive power losses. Directly calculating energy consumption is more convenient and faster than calculating input and output energy.

[0023] An intelligent evaluation platform for power distribution station losses, including an energy loss analysis module, performs energy loss analysis on power distribution equipment within the power distribution station and classifies the power distribution equipment within the power distribution station. Power distribution equipment of the same category uses the same energy loss analysis module structure.

[0024] The energy loss analysis module of the power distribution equipment includes a direct energy loss calculation unit, a system index calculation unit and a comprehensive index calculation unit. The direct energy loss calculation unit calculates the direct energy loss of the power distribution equipment according to the equipment parameters and the measurement parameters. The system index calculation unit calculates the system index according to the influencing factors of the energy loss. The comprehensive index calculation unit calculates the comprehensive index according to the system index and the corresponding weight.

[0025] The i-th distribution equipment is denoted as R i , the direct energy loss obtained by the direct energy loss calculation unit is recorded as Power distribution equipment i The factors affecting energy loss include direct energy loss Three-phase load current at the output and equipment depreciation cycle Will As the input feature of the system index calculation unit, the system index is calculated Including the ratio of actual energy loss to rated energy loss Ratio of actual energy loss to total energy loss Actual energy loss fluctuation rate Based on the three-phase load current at the output Calculated current load imbalance Based on equipment depreciation cycle The energy loss ratio Where: E total =E in -E out is the actual value of total energy loss in the distribution station, Ein E is the total input energy of the power distribution station out E is the total output energy of the power distribution station rated E is the rated energy loss of the power distribution equipment R i E is the rated energy loss of the power distribution equipment R E is the direct energy loss of the power distribution equipment at the same time of the previous working day; the comprehensive index is calculated by weighting and summing the system indexes by the comprehensive index calculation unit wherein: λ R , λ T , λ W , λ B , λ C are weighting coefficients; the larger the system index is, the larger the energy loss value of the power distribution equipment is, and the larger the comprehensive index is, the greater the influence of the energy loss of the power distribution equipment on the total energy loss of the power distribution station is.

[0026] Specifically, it further includes a power distribution station total energy loss estimation model constructed based on a neural network, the power distribution station total energy loss estimation model includes energy loss analysis modules of each power distribution equipment, sample data sets are input into each energy loss analysis module, the influencing factors are comprehensively calculated to obtain the direct energy loss, the system index and the comprehensive index of each power distribution equipment, the direct energy loss of each power distribution equipment is weighted and summed based on the comprehensive index to estimate the total energy loss of the power distribution station; the loss function is used to evaluate the prediction degree of the power distribution station total energy loss estimation value to the actual value of the power distribution station total energy loss, the power distribution station total energy loss estimation model is supervised and trained to obtain the trained power distribution station total energy loss estimation model.

[0027] Specifically, the power distribution station total energy loss estimation value is The mean absolute error function MAE and the mean absolute percentage error function MAPE are used as the loss function to evaluate the prediction degree of the power distribution station total energy loss estimation value to the actual value of the power distribution station total energy loss:

[0028]

[0029] wherein: N represents the number of samples in the test sample data set.

[0030] Specifically, each system index of the power distribution equipment is respectively provided with an upper threshold value, when a certain system index reaches or exceeds the upper threshold value, the corresponding upper threshold value is used to replace the system index for the calculation of the comprehensive index; the comprehensive index of the power distribution equipment is provided with an upper threshold value, when the comprehensive index reaches or exceeds the upper threshold value, the upper threshold value is used to replace the comprehensive index for the estimation of the total energy loss of the power distribution station.

[0031] Specifically, it further includes a risk prompt module, when the system index or the comprehensive index of the power distribution equipment reaches or exceeds the upper threshold value, the risk prompt module is used for risk prompting.

[0032] Beneficial effects: the power distribution station loss intelligent evaluation method and platform provided by the application has the following advantages compared with the prior art: 1. The energy loss analysis of the power distribution station is specially designed to help better analyze the line loss of the power distribution network; 2. The various influencing factors of the energy loss of the power distribution equipment are comprehensively considered, and the energy loss of the power distribution equipment itself and the influence on the energy loss of the entire power distribution station are reflected through the system index and the comprehensive index; 3. The weak link of the power grid technical line loss in the power distribution station can be identified by intelligently estimating the system index, the comprehensive index and the total energy loss of the power distribution station, which can help the power grid company to develop targeted loss reduction measures and improve the economic operation level of the power grid company. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 The method of the application is shown in the flowchart. DETAILED DESCRIPTION

[0034] The application will be specifically introduced in combination with the drawings and specific examples.

[0035] The energy loss of the power distribution station mainly manifests in the following situations: 1. When arranging the operation mode, it is not arranged scientifically according to the relevant requirements, so that the transformer cannot be operated according to the economic operation curve, resulting in light load and overload operation; 2. High-energy-consumption transformers are not replaced in time; 3. The old equipment has defects that cannot be eliminated in time, and other factors make the porcelain bottle, dielectric loss and porcelain sleeve leakage phenomenon more and more serious, which further causes the contact resistance of the wire joint device clamp to be larger and larger, resulting in the increase of line loss; 4. The reactive power penetration phenomenon is very serious, and is transmitted through the transformer and the line, combined with the unsatisfactory voltage quality, resulting in the increase of active power loss; 5. Intelligent device loss. Based on the analysis, the application designs an intelligent evaluation method for the loss of the power distribution station, as shown in the flowchart of the method, which will be specifically described below. Figure 1

[0036] Step 1, classify the power distribution equipment in the power distribution station

[0037] The classification of the power distribution equipment is to avoid designing the energy loss analysis module for all power distribution equipment and to reduce the calculation amount. However, in order to facilitate the increase and decrease of the power distribution equipment, it is suggested to design different energy loss analysis modules for different types of power distribution equipment, and the same type of power distribution equipment uses the same structure of energy loss analysis module.

[0038] According to the composition of the power distribution room, the power distribution equipment is divided into main power distribution equipment, auxiliary power distribution equipment, cable equipment, switch equipment and control equipment.

[0039] ​The main power distribution equipment belongs to the core power distribution equipment, mainly including high-voltage equipment, transformer, low-voltage equipment, capacitor and the like; the high-voltage equipment includes circuit breaker, current transformer, voltage transformer and the like, for accepting high-voltage current from the power supply; the transformer is used for reducing the high-voltage current to low-voltage current suitable for use, and the low-voltage equipment includes contactor, circuit breaker and the like, for controlling the distribution and switching of the current; the capacitor is used for improving the voltage quality and preventing system voltage fluctuation. The power distribution equipment belongs to the main energy consumption equipment of the power distribution station house, and is the essential equipment of the power distribution station house. Generally, it is more appropriate to design the corresponding energy loss analysis module for each type of power distribution equipment.

[0040] The auxiliary power distribution equipment is the power distribution equipment for supplementing and cooperating with the main power distribution equipment, mainly including power distribution cabinet, microcomputer control cabinet, safety power switch cabinet and the like; the power distribution cabinet is used for distributing the current of the main power distribution room to smaller circuits, and the microcomputer control cabinet is used for monitoring and controlling the operation of the distribution circuit; the safety power switch cabinet is responsible for being equipped with a backup power supply and a battery, so as to ensure that the power supply can be converted in time when the system fails, and the stable operation of the power system is ensured. The power distribution equipment is the essential equipment of the power distribution station house, and is the modular equipment, which can be associated for overall consideration of energy loss or energy consumption.

[0041] The cable equipment is mainly used for connecting the power distribution cabinet and other power distribution equipment. The energy loss of the power distribution equipment is small, which can be ignored or considered overall after being associated with other equipment.

[0042] The switch equipment mainly bears various switch devices, which usually cause the mutation of input and output energy after failure.

[0043] The control equipment is mainly composed of monitoring equipment, sensing equipment, intelligent monitoring system, power distribution management system and the like, for comprehensively monitoring and controlling the operation of the power system. With the improvement of the intelligent level of the power grid, the energy consumption of this part of equipment is also gradually improved.

[0044] Step 2, constructing the energy loss analysis module of each type of power distribution equipment

[0045] The influence factors, system indexes and comprehensive indexes of each type of power distribution equipment about energy loss are determined, and the energy loss analysis module of each type of power distribution equipment is constructed.

[0046] The energy loss analysis module of the power distribution equipment includes a direct energy loss calculation unit, a system index calculation unit and a comprehensive index calculation unit. The direct energy loss calculation unit calculates the direct energy loss of the power distribution equipment according to the equipment parameters and the measured parameters, the system index calculation unit calculates the system index according to the influence factors of energy loss, and the comprehensive index calculation unit calculates the comprehensive index according to the system index and the corresponding weight.

[0047] The i-th power distribution equipment is denoted as R i The direct energy loss obtained by the direct energy loss calculation unit is denoted as The power distribution equipment R i The factors affecting the energy loss include the direct energy loss The three-phase load current of the output end And the equipment loss period The is taken as the input feature of the system index calculation unit, and the system index is calculated The actual energy loss and the rated energy loss deviation ratio The actual energy loss and the total energy loss ratio The actual energy loss fluctuation rate Based on the three-phase load current of the output end The calculated current load unbalance degree Based on the equipment loss period The generated energy loss increase ratio Wherein: E total = E in -E out is the actual value of the total energy loss of the power distribution station, E in is the total input energy of the power distribution station, E out is the total output energy of the power distribution station, E rated is the rated energy loss of the power distribution equipment R i , is the direct energy loss of the power distribution equipment at the same time of the previous working day; the comprehensive index is calculated by the comprehensive index calculation unit by weighting and summing the system indexes Wherein: λ R , λ T , λ W , λ B , λ C are weighting coefficients.

[0048] Each system index of the power distribution equipment is respectively provided with an upper threshold value, when a certain system index reaches or exceeds the upper threshold value, a risk prompt is given, and the corresponding upper threshold value is used to replace the system index to calculate the comprehensive index; the comprehensive index of the power distribution equipment is provided with an upper threshold value, when the comprehensive index reaches or exceeds the upper threshold value, a risk prompt is given, and the upper threshold value is used to replace the comprehensive index to estimate the total energy loss of the power distribution station. By the upper threshold value, the influence of the fault (high energy consumption) of a single equipment on the total energy consumption can be avoided.

[0049] The larger the system index is, the larger the energy loss value of the power distribution equipment is, and the larger the comprehensive index is, the greater the influence degree of the energy loss of the power distribution equipment on the total energy loss of the power distribution station is.

[0050] For different power distribution equipment, the design of the energy loss analysis module is slightly different; only for transformer measurement three-phase load current and calculate the current load imbalance, while for non-transformer type power distribution equipment, the current load imbalance is considered as 0, the upper threshold of the current load imbalance is generally designed as 20%, and the three-phase load is measured and adjusted regularly during the distribution of the load, so that the transformer three-phase current is close to balance, which is a very effective loss reduction measure without any investment. For some energy-consuming power distribution equipment, the output energy is considered as 0, and the energy consumption is calculated or estimated directly, and the calculation result is used as the input energy for subsequent calculation. For some power distribution equipment that can directly calculate the input energy and output energy, the input and output energy is directly detected or calculated, and the energy loss is calculated by the difference between the input energy and the output energy. For some power distribution equipment that cannot directly calculate the input energy and output energy, the energy loss or energy consumption is directly calculated, and the calculated consumption or loss energy is used as the energy loss value.

[0051] Step 3, generating test sample data set

[0052] Generate test sample data set of various power distribution equipment about energy loss influencing factors, system indicators and comprehensive indicators, and train the energy loss analysis module and the total energy loss estimation model of the power distribution station through the test sample data set. The test sample data set mainly includes the equipment parameters and measurement parameters of each power distribution equipment, the rated parameters of the power distribution equipment, the life cycle and the loss increment corresponding to the life cycle, the total input energy and the total output energy of the power distribution station, etc.

[0053] Step 4, constructing the total energy loss estimation model of the power distribution station

[0054] Based on neural network, the total energy loss estimation model of the power distribution station is constructed, which includes the energy loss analysis module of each power distribution equipment. The sample data set is input into each energy loss analysis module, the influencing factors are comprehensively calculated to obtain the direct energy loss, system indicators and comprehensive indicators of each power distribution equipment, and the direct energy loss of each power distribution equipment is weighted and summed based on the comprehensive indicators to estimate the total energy loss of the power distribution station; the loss function is used to evaluate the prediction degree of the total energy loss estimation value of the power distribution station to the actual value of the total energy loss of the power distribution station, and the total energy loss estimation model of the power distribution station is supervised and trained to obtain the trained total energy loss estimation model of the power distribution station; the total energy loss estimation value of the power distribution station is

[0055] Step 5, supervising and training the energy loss analysis module and the total energy loss estimation model of the power distribution station

[0056] The mean absolute error function MAE and the mean absolute percentage error function MAPE are used as loss functions to evaluate the prediction degree of the actual total energy loss of the power distribution station by the estimated value of the total energy loss of the power distribution station.

[0057]

[0058] wherein N represents the number of samples in the sample data set.

[0059] Step 6, intelligently evaluating the total energy loss of the power distribution station using the total energy loss estimation model of the power distribution station

[0060] The trained total energy loss estimation model of the power distribution station is used to intelligently evaluate the total energy loss of the power distribution station by taking the equipment parameters and measurement parameters as inputs, and the system indicators, comprehensive indicators and estimated value of the total energy loss of the power distribution station of each power distribution equipment are obtained. The system indicators, comprehensive indicators and estimated value of the total energy loss of the power distribution station are compared between power distribution equipment, between seasons and between years, and the reasons for the rise and fall of line loss are found out to determine the main direction of future loss reduction.

[0061] An intelligent evaluation platform for the loss of a power distribution station implementing the above method, the core of which is an energy loss analysis module based on a neural network and a total energy loss estimation model of the power distribution station. The total energy loss estimation model of the power distribution station includes energy loss analysis modules of each power distribution equipment. Sample data sets are input into each energy loss analysis module to comprehensively calculate the influencing factors to obtain the direct energy loss, system indicators and comprehensive indicators of each power distribution equipment. The direct energy loss of each power distribution equipment is weighted and summed based on the comprehensive indicators to estimate the total energy loss of the power distribution station. The prediction degree of the actual total energy loss of the power distribution station by the estimated value of the total energy loss of the power distribution station is evaluated using a loss function, and the total energy loss estimation model of the power distribution station is supervised and trained to obtain a trained total energy loss estimation model of the power distribution station.

[0062] The power distribution equipment in the power distribution station is classified, and the same type of power distribution equipment uses the same structure of energy loss analysis module. The energy loss analysis module of the power distribution equipment includes a direct energy loss calculation unit, a system indicator calculation unit and a comprehensive indicator calculation unit. The direct energy loss calculation unit calculates the direct energy loss of the power distribution equipment according to the equipment parameters and measurement parameters. The system indicator calculation unit calculates the system indicators according to the influencing factors of energy loss. The comprehensive indicator calculation unit calculates the comprehensive indicators according to the system indicators and corresponding weights.

[0063] The i-th power distribution equipment is denoted as R i The direct energy loss obtained by the direct energy loss calculation unit is denoted as The power distribution equipment R i The influencing factors of energy loss include direct energy loss Output end three-phase load current And equipment loss cycle Will As the input feature of the system index calculation unit, calculate the system index Including actual energy loss and rated energy loss bias Actual energy loss and total energy loss ratio Actual energy loss fluctuation rate Based on the output end three-phase load current The calculated current load imbalance degree Based on the equipment loss cycle Generated energy loss increase ratio Wherein: E total = E in -E out The actual value of the total energy loss of the power distribution station, E in The total input energy of the power distribution station, E out The total output energy of the power distribution station, E rated The rated energy loss of the power distribution equipment R i The direct energy loss of the power distribution equipment at the same time of the last working day; the comprehensive index is calculated by weighting and summing the system index through the comprehensive index calculation unit Wherein: λ R , λ T , λ W , λ B , λ C The weighting coefficient; the larger the system index, the larger the energy loss value of the power distribution equipment, and the larger the comprehensive index, the greater the influence of the energy loss of the power distribution equipment on the total energy loss of the power distribution station.

[0064] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the above examples do not limit the present application in any form, and any technical solution obtained by equivalent substitution or equivalent transformation falls within the protection scope of the present application.​

Claims

1. A method for intelligent assessment of power distribution station losses, characterized in that: The method comprises the following steps: Step 1: classifying power distribution equipment in a power distribution station, including transformers and non-transformer power distribution equipment, and using the same structure of energy loss analysis module for power distribution equipment of the same category; Step 2: determining the influencing factors, system indicators and comprehensive indicators of each type of power distribution equipment with respect to energy loss, and constructing an energy loss analysis module for each type of power distribution equipment; the energy loss analysis module of the power distribution equipment comprises a direct energy loss calculation unit, a system indicator calculation unit and a comprehensive indicator calculation unit, the direct energy loss calculation unit calculates the direct energy loss of the power distribution equipment according to the equipment parameters and the measured parameters, the system indicator calculation unit calculates the system indicators according to the influencing factors of energy loss, and the comprehensive indicator calculation unit calculates the comprehensive indicators according to the system indicators and the corresponding weights; The i-th distribution equipment is denoted as R i , the direct energy loss obtained by the direct energy loss calculation unit is recorded as Power distribution equipment i The factors affecting energy loss include direct energy loss Three-phase load current at the output and equipment depreciation cycle Will As the input feature of the system index calculation unit, the system index is calculated Including the ratio of direct energy loss to rated energy loss Ratio of direct energy loss to total energy loss Direct energy loss fluctuation rate Based on the three-phase load current at the output Calculated current load imbalance Based on equipment depreciation cycle The energy loss ratio Where: E total =E in -E out is the actual value of total energy loss in the distribution station, E in is the total input energy of the distribution station, E out is the total output energy of the distribution station, E rated For power distribution equipment R i Rated energy loss, The direct energy loss of the power distribution equipment at the same time on the previous working day; the comprehensive index is calculated by weighting and summing the system indexes through the comprehensive index calculation unit Where: R ,λ T ,λ W ,λ B ,λ C is the weighting coefficient; the larger the system index, the greater the energy loss value of the distribution equipment; the larger the comprehensive index, the greater the impact of the energy loss of the distribution equipment on the total energy loss of the distribution station; Step 3: generating a test sample data set of the influencing factors, system indicators and comprehensive indicators of each type of power distribution equipment with respect to energy loss; Step 4: constructing a total energy loss estimation model of the power distribution station based on a neural network, the total energy loss estimation model of the power distribution station comprises the energy loss analysis modules of each power distribution equipment, the sample data set is input into each energy loss analysis module, the influencing factors are comprehensively calculated to obtain the direct energy loss, system indicators and comprehensive indicators of each power distribution equipment, and the direct energy loss of each power distribution equipment is weighted and summed based on the comprehensive indicators to estimate the total energy loss of the power distribution station; a loss function is used to evaluate the prediction degree of the estimated value of the total energy loss of the power distribution station to the actual value of the total energy loss of the power distribution station, the total energy loss estimation model of the power distribution station is supervised and trained, and a trained total energy loss estimation model of the power distribution station is obtained; Step 5: using the trained total energy loss estimation model of the power distribution station to intelligently evaluate the total energy loss of the power distribution station by taking the equipment parameters and the measured parameters as inputs, and obtaining the system indicators, comprehensive indicators and estimated value of the total energy loss of each power distribution equipment.

2. The method for intelligent assessment of power distribution station losses according to claim 1, characterized in that: Each system indicator of the power distribution equipment is provided with an upper threshold value, when a certain system indicator reaches or exceeds the upper threshold value, a risk prompt is given, and the corresponding upper threshold value is used to replace the system indicator for the calculation of the comprehensive indicator; the comprehensive indicator of the power distribution equipment is provided with an upper threshold value, when the comprehensive indicator reaches or exceeds the upper threshold value, a risk prompt is given, and the upper threshold value is used to replace the comprehensive indicator for the estimation of the total energy loss of the power distribution station.

3. The method for intelligent assessment of power distribution station losses according to claim 1 or 2, characterized in that: The total energy loss estimation value of the power distribution station is The average absolute error function MAE and the average absolute percentage error function MAPE are used as the loss function to evaluate the prediction degree of the total energy loss estimation value of the power distribution station to the actual value of the total energy loss of the power distribution station: Wherein: N represents the number of samples in the test sample data set.

4. The method for intelligent assessment of distribution station losses as claimed in claim 1 wherein: For non-transformer power distribution equipment, the three-phase load current of the detection output is ignored, and the current load unbalance degree is not calculated; for transformers, the energy loss is calculated by the difference between the input energy and the output energy; For non-transformer power distribution equipment, the energy loss is calculated by the difference between the input energy and the output energy, or the power consumption of the non-transformer power distribution equipment is directly calculated, and the power consumption is taken as the energy loss.

5. An intelligent platform for loss assessment of a power distribution station, characterized by: The method comprises the following steps: The method comprises the following steps: The method comprises the following steps: The energy loss analysis module of the power distribution equipment comprises a direct energy loss calculation unit, a system index calculation unit and a comprehensive index calculation unit, the direct energy loss calculation unit calculates the direct energy loss of the power distribution equipment according to equipment parameters and measurement parameters, the system index calculation unit calculates the system index according to the influencing factors of the energy loss, and the comprehensive index calculation unit calculates the comprehensive index according to the system index and the corresponding weight value; The i-th distribution equipment is denoted as R i , the direct energy loss obtained by the direct energy loss calculation unit is recorded as Power distribution equipment i The factors affecting energy loss include direct energy loss Three-phase load current at the output and equipment depreciation cycle Will As the input feature of the system index calculation unit, the system index is calculated Including the ratio of direct energy loss to rated energy loss Ratio of direct energy loss to total energy loss Direct energy loss fluctuation rate Based on the three-phase load current at the output Calculated current load imbalance Based on equipment depreciation cycle The energy loss ratio Where: E total =E in -E out is the actual value of total energy loss in the distribution station, E in is the total input energy of the distribution station, E out is the total output energy of the distribution station, E rated For power distribution equipment R i Rated energy loss, The direct energy loss of the power distribution equipment at the same time on the previous working day; the comprehensive index is calculated by weighting and summing the system indexes through the comprehensive index calculation unit Where: R ,λ T ,λ W ,λ B ,λ C is the weighting coefficient; the larger the system index is, the greater the energy loss value of the distribution equipment is; the larger the comprehensive index is, the greater the impact of the energy loss of the distribution equipment on the total energy loss of the distribution station is.

6. The intelligent assessment platform of power distribution station losses as claimed in claim 5 wherein: The power distribution station total energy loss estimation model based on the neural network comprises the energy loss analysis modules of the respective power distribution equipment, sample data sets are input into the respective energy loss analysis modules, the influencing factors are comprehensively calculated to obtain the direct energy loss, the system index and the comprehensive index of the respective power distribution equipment, the direct energy loss of the respective power distribution equipment is weighted and summed based on the comprehensive index to estimate the power distribution station total energy loss, and the loss function is used to evaluate the prediction degree of the power distribution station total energy loss estimation value to the actual value of the power distribution station total energy loss, the power distribution station total energy loss estimation model is supervised and trained to obtain the trained power distribution station total energy loss estimation model.

7. The intelligent assessment platform of power distribution station losses as claimed in claim 6 wherein: The total energy loss estimation value of the power distribution station is The average absolute error function MAE and the average absolute percentage error function MAPE are used as the loss function to evaluate the prediction degree of the total energy loss estimation value of the power distribution station to the actual value of the total energy loss of the power distribution station: Wherein: N represents the number of samples in the test sample data set.

8. The intelligent assessment platform of power distribution station losses as claimed in claim 5 wherein: The respective system indexes of the power distribution equipment are respectively provided with upper limit thresholds, when a certain system index reaches or exceeds the upper limit threshold, the corresponding upper limit threshold is used to replace the system index to calculate the comprehensive index, and the comprehensive index of the power distribution equipment is provided with an upper limit threshold, when the comprehensive index reaches or exceeds the upper limit threshold, the upper limit threshold is used to replace the comprehensive index to estimate the power distribution station total energy loss.

9. The intelligent assessment platform of power distribution station losses as claimed in claim 5 wherein: The risk prompt module is further included, and when the system index or the comprehensive index of the power distribution equipment reaches or exceeds the upper limit threshold, the risk prompt module is used to give a risk prompt.

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