Intelligent evaluation method and platform for power distribution station loss

Abstract

The invention discloses an intelligent assessment method and platform for power distribution station loss, and the method comprises the steps: classifying power distribution equipment in a power distribution station, including transformer and non-transformer power distribution equipment; determining influence factors, system indexes and comprehensive indexes about energy loss of the power distribution equipment, and constructing an energy loss analysis module of the power distribution equipment; constructing a power distribution station total energy loss estimation model based on a neural network, inputting a sample data set into each energy loss analysis module, and performing comprehensive calculation on influence factors to obtain direct energy loss, system indexes and comprehensive indexes of each power distribution device; and performing weighted summation on the direct energy loss of each power distribution equipment based on the comprehensive index to estimate the total energy loss of the power distribution station. According to the method, various influence factors of the energy loss of the power distribution equipment are comprehensively considered, the weak links of the power grid technology line loss in the power distribution station are identified through the system indexes and the comprehensive indexes, and a power grid company can be helped to formulate targeted loss reduction measures.

Description

Technical Field

[0001] The invention relates to an intelligent evaluation method and platform for power distribution station loss, belonging to power loss analysis technology. Background Art

[0002] The line loss of the power grid is a comprehensive indicator to measure the planning and design, technical equipment and economic operation of the power grid, which mainly includes two important parts: technical line loss and management line loss. Management line loss is mainly caused by abnormal power consumption behavior of consumers. Technical line loss, also known as theoretical line loss, includes energy loss on power grid components (including lines and distribution stations), which is mainly determined by the grid structure, equipment parameters and operating conditions of the power grid. Compared with management line loss, technical line loss fundamentally determines the level of power grid loss.

[0003] When studying theoretical line losses, existing technologies often package the energy losses on the lines and distribution stations for line loss analysis, and it is relatively rare to analyze the energy losses of distribution stations alone. However, the analysis results of the energy loss of distribution stations directly affect the analysis of the entire line loss; at the same time, the number of equipment in distribution stations accounts for a relatively high proportion of the entire power grid, and its volatility is relatively high; in addition, with the development of smart grids, more and more smart devices are configured in distribution stations. With the increase in the number of equipment and computing power, the impact of energy loss in distribution stations on the entire line loss becomes more and more obvious. Therefore, it is increasingly important to conduct a special energy loss analysis of distribution stations. Summary of the invention

[0004] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides an intelligent evaluation method and platform for distribution station losses, which is specifically aimed at analyzing the energy loss of distribution stations, comprehensively considering various factors affecting the energy loss of distribution equipment, and identifying the weak links in the technical line loss of the power grid in the distribution station through system indicators and comprehensive indicators, which can help power grid companies formulate targeted loss reduction measures and improve the economic operation level of power grid companies.

[0005] Technical solution: To achieve the above purpose, the technical solution adopted by the present invention is:

[0006] An intelligent evaluation method for power distribution station loss includes the following steps:

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

[0008] Step 2: Determine the influencing factors, system indicators and comprehensive indicators of energy loss of various types of power distribution equipment, and build energy loss analysis modules for various types of power distribution equipment based on neural networks;

[0009] Step 3: Generate test sample data sets of influencing factors, system indicators and comprehensive indicators of energy loss for various types of power distribution equipment;

[0010] Step 4. Construct a distribution station total energy loss estimation model based on a neural network. The distribution station total energy loss estimation model includes energy loss analysis modules for each distribution device. Input the sample data set into each energy loss analysis module, perform a comprehensive calculation on the influencing factors to obtain the direct energy loss, system index and comprehensive index of each distribution device, and perform a weighted summation of the direct energy loss of each distribution device based on the comprehensive index to estimate the total energy loss of the distribution station. Use a loss function to evaluate the degree of prediction of the estimated value of the total energy loss of the distribution station for the actual value of the total energy loss of the distribution station, perform supervised training on the distribution station total energy loss estimation model, and obtain a trained distribution station total energy loss estimation model.

[0011] Step 5. Take the equipment parameters and measurement parameters as input, use the trained distribution station total energy loss estimation model to intelligently evaluate the distribution station total energy loss, and obtain the system indicators, comprehensive indicators and total energy loss estimation of each distribution equipment.

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

[0013] Specifically, the power distribution equipment in the distribution station is classified, and the power distribution equipment of the same category adopts the energy loss analysis module of the same structure; 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, and the comprehensive index calculation unit calculates the comprehensive index according to the system index and the corresponding weight;

[0014] The i-th power 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, 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 , T , W , B , 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.

[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 crossing, and the increase of intelligent equipment, this case first adopts a modular design for distribution equipment to facilitate the increase and decrease of intelligent equipment. At the same time, multiple considerations are made for factors such as equipment aging, energy consumption ratio, and energy consumption fluctuations. 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 equipment 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 daily load cycles 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 equipment to the energy loss of the entire distribution station more comprehensively from an overall perspective.

[0016] Specifically, each system indicator of the power distribution equipment is set with an upper threshold, and when a system indicator reaches or exceeds the upper threshold, a risk warning is issued, and the corresponding upper threshold is used to replace the system indicator to calculate the comprehensive indicator; the comprehensive indicator of the power distribution equipment is set with an upper threshold, and when the comprehensive indicator reaches or exceeds the upper threshold, a risk warning is issued, and the upper threshold is used to replace the comprehensive indicator to estimate the total energy loss of the distribution station. By limiting the threshold, it is possible to avoid over-evaluating the impact of a single equipment failure (excessive energy consumption) on the 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 it is difficult for some distribution equipment 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 losses. It is more convenient and quicker to directly calculate energy consumption than to calculate input and output energy.

[0023] An intelligent evaluation platform for power distribution station loss, including an energy loss analysis module, performs energy loss analysis on power distribution equipment in the power distribution station, classifies the power distribution equipment in the power distribution station, and uses energy loss analysis modules with the same structure for power distribution equipment of the same category;

[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, and the comprehensive index calculation unit calculates the comprehensive index according to the system index and the corresponding weights;

[0025] The i-th power 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 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 , T , W , B , 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.

[0026] Specifically, it also includes a distribution station total energy loss estimation model constructed based on a neural network. The distribution station total energy loss estimation model includes energy loss analysis modules for each distribution equipment. The sample data set is input into each energy loss analysis module, and the influencing factors are comprehensively calculated to obtain the direct energy loss, system indicators and comprehensive indicators of each distribution equipment. The total energy loss of the distribution station is estimated by weighted summing up the direct energy loss of each distribution equipment based on the comprehensive indicators; the loss function is used to evaluate the degree of prediction of the estimated value of the total energy loss of the distribution station for the actual value of the total energy loss of the distribution station, and the distribution station total energy loss estimation model is supervised and trained to obtain a trained distribution station total energy loss estimation model.

[0027] 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:

[0028]

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

[0030] Specifically, an upper limit threshold is set for each system indicator of the power distribution equipment. When a system indicator reaches or exceeds the upper limit threshold, the corresponding upper limit threshold is used to replace the system indicator to calculate the comprehensive indicator; an upper limit threshold is set for the comprehensive indicator of the power distribution equipment. When the comprehensive indicator reaches or exceeds the upper limit threshold, the upper limit threshold is used to replace the comprehensive indicator to estimate the total energy loss of the distribution station.

[0031] Specifically, it also includes a risk warning module. When the system indicators or comprehensive indicators of the power distribution equipment reach or exceed the upper limit threshold, the risk warning module will issue a risk warning.

[0032] Beneficial effects: The intelligent evaluation method and platform for distribution station loss provided by the present invention have the following advantages over the prior art: 1. Energy loss analysis specifically aimed at distribution station buildings can help to better analyze line losses in distribution networks; 2. Various factors affecting the energy loss of distribution equipment are comprehensively considered, and the energy loss of the distribution equipment itself and its impact on the energy loss of the entire distribution station building are reflected through system indicators and comprehensive indicators; 3. Through the intelligent estimation of system indicators, comprehensive indicators and total energy loss of distribution stations by neural networks, the weak links of technical line losses of power grids in distribution stations can be identified, which can help power grid companies formulate targeted loss reduction measures and improve the economic operation level of power grid companies. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart for implementing the method of the present invention. DETAILED DESCRIPTION

[0034] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0035] The energy loss of distribution station is mainly reflected in the following situations: 1. When arranging the operation mode, it is not scientifically arranged according to 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 equipment is old and defects cannot be eliminated in time. Factors such as these make the porcelain bottle, dielectric loss and porcelain sleeve leakage more and more serious, which in turn causes the contact resistance of the wire joint equipment wire clamp to become larger and larger, resulting in increased line loss; 4. The reactive power penetration phenomenon is very serious, and it is transmitted through transformers and lines. In addition, the voltage quality is not ideal, resulting in increased active power loss; 5. Intelligent equipment loss. Based on this analysis, this case designs an intelligent evaluation method for distribution station losses, such as Figure 1 The figure shows the implementation flow chart of the method, and each step is described in detail below.

[0036] Step 1: Classify the power distribution equipment in the distribution station

[0037] The purpose of classifying distribution equipment is to avoid designing energy loss analysis modules for all distribution equipment and reduce the amount of calculation. However, in order to facilitate the increase and decrease of distribution equipment, it is recommended to design different energy loss analysis modules for different types of distribution equipment, and the same type of distribution equipment should use energy loss analysis modules with the same structure.

[0038] According to the composition of the distribution room, the distribution equipment is divided into main distribution equipment, auxiliary 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, transformers, low-voltage equipment, capacitors, etc.; the high-voltage equipment includes circuit breakers, current transformers, voltage transformers, etc., which are used to receive high-voltage current from the power supply; the transformer is used to reduce the high-voltage current to a suitable low-voltage current, and the low-voltage equipment includes contactors, circuit breakers and other devices, which are used to control the distribution and switching of current; the capacitor is used to improve the voltage quality and prevent system voltage fluctuations. This type of power distribution equipment belongs to the main energy-consuming equipment of the distribution station, and is also an essential equipment of the distribution station. Generally speaking, it is more appropriate to design a corresponding energy loss analysis module for each type of distribution equipment.

[0040] The auxiliary power distribution equipment is a power distribution equipment that supplements and cooperates with the main power distribution equipment, mainly including power distribution cabinets, microcomputer control cabinets, safety power switch cabinets, etc.; the power distribution cabinet is used to distribute the current of the main distribution room to smaller circuits, and the microcomputer control cabinet is used to monitor and control the operation of the distribution circuit; the safety power switch cabinet is responsible for being equipped with backup power and batteries to ensure that the power supply can be converted in time when a system failure occurs, ensuring the stable operation of the power system. This type of power distribution equipment is a necessary equipment for distribution stations. It is a modular device that can be associated to consider energy loss or energy consumption as a whole.

[0041] The cable equipment is mainly used to connect the power distribution cabinet and other power distribution equipment. The energy loss of this type of power distribution equipment is relatively small, and can be ignored or considered as a whole after being associated with other equipment.

[0042] The switchgear mainly carries various switchgears, which usually cause sudden changes in input and output energy after a fault occurs.

[0043] The control equipment is mainly composed of monitoring equipment, sensor equipment, intelligent monitoring system, power distribution management system, etc., which is used to comprehensively monitor and control the operation of the power system. With the improvement of the intelligence level of the power grid, the energy consumption of this part of the equipment is also gradually increasing.

[0044] Step 2: Build energy loss analysis modules for various types of power distribution equipment

[0045] Determine the influencing factors, system indicators and comprehensive indicators of energy loss of various types of distribution equipment, and build energy loss analysis modules for various types of distribution equipment.

[0046] The energy loss analysis module of the 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 distribution equipment according to equipment parameters and measurement parameters, the system index calculation unit calculates the system index according to the influencing factors of energy loss, and the comprehensive index calculation unit calculates the comprehensive index according to the system index and the corresponding weights.

[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 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, 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 , T , W , B , C is the weighting coefficient.

[0048] Each system indicator of the power distribution equipment is set with 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 to replace the system indicator to calculate the comprehensive indicator; the comprehensive indicator of the power distribution equipment is set with an upper threshold. When the comprehensive indicator reaches or exceeds the upper threshold, a risk warning is issued, and the upper threshold is used to replace the comprehensive indicator to estimate the total energy loss of the distribution station. The upper threshold can be used to avoid over-evaluating the impact of a single equipment failure (excessive energy consumption) on the total energy consumption.

[0049] 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.

[0050] For different power distribution equipment, the design of energy loss analysis module is slightly different; only the three-phase load current is measured for the transformer and the current load imbalance is calculated, while for non-transformer power distribution equipment, the current load imbalance is regarded as 0. The upper limit threshold of the current load imbalance is generally designed to be 20%. When distributing the load, the three-phase load is measured and adjusted regularly to make the three-phase current of the transformer close to balance. This is a very effective loss reduction measure without any investment. For some energy consumption distribution equipment, the output energy is regarded as 0, and the energy consumption is directly calculated or estimated, and the calculation result is used as the input energy for subsequent calculations. For some power distribution equipment that is convenient for input energy and output energy calculation, the input and output energy are 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: Generate test sample dataset

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

[0053] Step 4: Construct a total energy loss estimation model for distribution stations

[0054] A distribution station total energy loss estimation model is constructed based on a neural network. The distribution station total energy loss estimation model includes energy loss analysis modules for each distribution device. The sample data set is input into each energy loss analysis module, and the influencing factors are comprehensively calculated to obtain the direct energy loss, system index and comprehensive index of each distribution device. The total energy loss of the distribution station is estimated by weighted summing up the direct energy loss of each distribution device based on the comprehensive index. The loss function is used to evaluate the prediction degree of the estimated value of the total energy loss of the distribution station for the actual value of the total energy loss of the distribution station, and the distribution station total energy loss estimation model is supervised and trained to obtain a trained distribution station total energy loss estimation model. The total energy loss estimation value of the distribution station is

[0055] Step 5: Supervise the training of the energy loss analysis module and the total energy loss estimation model of the 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 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:

[0057]

[0058] Where: N represents the number of samples in the test sample data set.

[0059] Step 6: Use the total energy loss estimation model of the distribution station to intelligently evaluate the total energy loss of the distribution station

[0060] The equipment parameters and measurement parameters are used as inputs, and the trained distribution station total energy loss estimation model is used to intelligently evaluate the distribution station total energy loss, and the system indicators, comprehensive indicators and distribution station total energy loss estimation values ​​of each distribution equipment are obtained. The system indicators, comprehensive indicators and distribution station total energy loss estimation values ​​are compared between distribution equipment, quarters and years, and the reasons for the increase and decrease of line losses are found, and the main direction of future loss reduction is determined.

[0061] An intelligent evaluation platform for distribution station loss for implementing the above method, the core of which is an energy loss analysis module constructed based on a neural network and a total energy loss estimation model for the distribution station. The total energy loss estimation model for the distribution station includes energy loss analysis modules for each distribution device. A sample data set is input into each energy loss analysis module, and a comprehensive calculation is performed on the influencing factors to obtain the direct energy loss, system index and comprehensive index of each distribution device. Based on the comprehensive index, a weighted sum is taken for the direct energy loss of each distribution device to estimate the total energy loss of the distribution station. A loss function is used to evaluate the degree of prediction of the estimated value of the total energy loss of the distribution station for the actual value of the total energy loss of the distribution station, and the total energy loss estimation model of the distribution station is supervised and trained to obtain a trained total energy loss estimation model for the distribution station.

[0062] The distribution equipment in the distribution station is classified, and the distribution equipment of the same category adopts the energy loss analysis module of the same structure; the energy loss analysis module of the 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 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, and the comprehensive index calculation unit calculates the comprehensive index according to the system index and the 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 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, 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 , T , W , B , 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.

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

Claims

1. An intelligent evaluation method for distribution station loss, characterized in that: The steps include: Step 1: Classify the power distribution equipment in the distribution station, including transformers and non-transformer power distribution equipment; Step 2: Determine the influencing factors, system indicators and comprehensive indicators of energy loss of various types of power distribution equipment, and build energy loss analysis modules for various types of power distribution equipment; Step 3: Generate test sample data sets of influencing factors, system indicators and comprehensive indicators of energy loss for various types of power distribution equipment; Step 4. Construct a distribution station total energy loss estimation model based on a neural network. The distribution station total energy loss estimation model includes energy loss analysis modules for each distribution device. Input the sample data set into each energy loss analysis module, perform a comprehensive calculation on the influencing factors to obtain the direct energy loss, system index and comprehensive index of each distribution device, and perform a weighted summation of the direct energy loss of each distribution device based on the comprehensive index to estimate the total energy loss of the distribution station. Use a loss function to evaluate the degree of prediction of the estimated value of the total energy loss of the distribution station for the actual value of the total energy loss of the distribution station, perform supervised training on the distribution station total energy loss estimation model, and obtain a trained distribution station total energy loss estimation model. Step 5. Take the equipment parameters and measurement parameters as input, use the trained distribution station total energy loss estimation model to intelligently evaluate the distribution station total energy loss, and obtain the system indicators, comprehensive indicators and total energy loss estimation of each distribution equipment.

2. The intelligent evaluation method for power distribution station loss according to claim 1 is characterized in that: The power distribution equipment in the power distribution station is classified, and the power distribution equipment of the same category adopts the energy loss analysis module of the same structure; 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, and the comprehensive index calculation unit calculates the comprehensive index according to the system index and the corresponding weight; The i-th power 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, 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 , T , W , B , 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.

3. The intelligent evaluation method for power distribution station loss according to claim 2 is characterized in that: An upper limit threshold is set for each system indicator of the power distribution equipment. When a system indicator reaches or exceeds the upper limit threshold, a risk warning is issued, and the corresponding upper limit threshold is used to replace the system indicator to calculate the comprehensive indicator; an upper limit threshold is set for the comprehensive indicator of the power distribution equipment. When the comprehensive indicator reaches or exceeds the upper limit threshold, a risk warning is issued, and the upper limit threshold is used to replace the comprehensive indicator to estimate the total energy loss of the distribution station.

4. The intelligent evaluation method for distribution station loss according to claim 2 or 3 is characterized in that: The total energy loss of the distribution station is estimated to be 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: Where: N represents the number of samples in the test sample data set.

5. The intelligent evaluation method for power distribution station loss according to claim 2 is characterized in that: For non-transformer distribution equipment, the three-phase load current at the output end is ignored and the current load imbalance is not calculated; for transformers, the difference between input energy and output energy is used to calculate energy loss; For non-transformer distribution equipment, the energy loss is calculated using the difference between input energy and output energy, or the power consumption of the non-transformer distribution equipment is directly calculated and the power consumption is regarded as energy loss.

6. An intelligent evaluation platform for distribution station losses, characterized by: It includes an energy loss analysis module, which performs energy loss analysis on the power distribution equipment in the power distribution station, classifies the power distribution equipment in the power distribution station, and uses the energy loss analysis module with the same structure for the power distribution equipment of the same category; 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, and the comprehensive index calculation unit calculates the comprehensive index according to the system index and the corresponding weights; The i-th power 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, 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 , T , W , B , 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.

7. The intelligent evaluation platform for power distribution station losses according to claim 6 is characterized by: It also includes a distribution station total energy loss estimation model constructed based on a neural network. The distribution station total energy loss estimation model includes energy loss analysis modules for each distribution equipment. The sample data set is input into each energy loss analysis module, and the influencing factors are comprehensively calculated to obtain the direct energy loss, system indicators and comprehensive indicators of each distribution equipment. The total energy loss of the distribution station is estimated by weighted summing up the direct energy loss of each distribution equipment based on the comprehensive indicators. The loss function is used to evaluate the degree of prediction of the estimated value of the total energy loss of the distribution station for the actual value of the total energy loss of the distribution station, and the distribution station total energy loss estimation model is supervised and trained to obtain a trained distribution station total energy loss estimation model.

8. The intelligent evaluation platform for power distribution station losses according to claim 7 is characterized in that: The total energy loss of the distribution station is estimated to be 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: Where: N represents the number of samples in the test sample data set.

9. The intelligent evaluation platform for power distribution station losses according to claim 6 is characterized by: An upper limit threshold is set for each system indicator of the power distribution equipment. When a system indicator reaches or exceeds the upper limit threshold, the corresponding upper limit threshold is used to replace the system indicator to calculate the comprehensive indicator; an upper limit threshold is set for the comprehensive indicator of the power distribution equipment. When the comprehensive indicator reaches or exceeds the upper limit threshold, the upper limit threshold is used to replace the comprehensive indicator to estimate the total energy loss of the distribution station.

10. The intelligent evaluation platform for power distribution station loss according to claim 6 is characterized in that: It also includes a risk warning module. When the system indicators or comprehensive indicators of the distribution equipment reach or exceed the upper limit threshold, the risk warning module will issue a risk warning.

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