CN107122919B - Distribution network efficiency evaluation method and system based on intelligent operation - Google Patents
Distribution network efficiency evaluation method and system based on intelligent operation Download PDFInfo
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Abstract
The invention relates to a distribution network efficiency evaluation method and a distribution network efficiency evaluation system based on intelligent operation, wherein the method comprises the following steps: (1) acquiring historical data of distribution network operation services with various indexes on line; (2) extracting the historical data of the distribution network operation service of each index one by one, and fitting to obtain a reliability rating fitting function of the distribution network operation service of each index; (3) the method comprises the steps of establishing a distribution network evaluation model based on a distribution network operation service reliability rating score fitting function, taking current data of distribution network operation services as input of the distribution network evaluation model, calculating distribution network evaluation values of each index distribution network operation service, and summing the distribution network evaluation values of various distribution network operation services to obtain a distribution network efficiency evaluation total value.
Description
Technical Field
The invention relates to the technical field of distribution network monitoring, in particular to a distribution network efficiency evaluation method and system based on intelligent operation.
Background
The traditional distribution network efficiency evaluation belongs to post-evaluation of the constructed distribution network, and the evaluation result has certain objectivity and referential significance, but still has great defects, mainly manifested in that the combination with the distribution network is not strong, the distribution network is evaluated only from the purely financial aspects of investment, income and the like, and the actual benefits, efficiency and functions of the distribution network generated by the investment cannot be comprehensively and exactly reflected, so that the due guidance and reference for the construction of the distribution network is difficult to provide.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a distribution network efficiency evaluation method based on intelligent operation, which is characterized in that the problems of distribution network planning rationality, distribution network operation efficiency, distribution network line loss, fault first-aid repair and complaint, line area power failure, business expansion installation 'neck' and the like are taken as distribution network operation business historical data of various indexes to be analyzed through online acquisition of business detail data.
The invention adopts the following technical scheme:
a distribution network efficiency evaluation method based on intelligent operation comprises the following steps:
(1) acquiring historical data of distribution network operation services with various indexes on line;
(2) extracting the historical data of the distribution network operation service of each index one by one, and fitting to obtain a reliability rating fitting function of the distribution network operation service of each index;
(3) the method comprises the steps of establishing a distribution network evaluation model based on a distribution network operation service reliability rating score fitting function, taking current data of distribution network operation services as input of the distribution network evaluation model, calculating distribution network evaluation values of each index distribution network operation service, and summing the distribution network evaluation values of various distribution network operation services to obtain a distribution network efficiency evaluation total value.
Further, the reliability score fitting function adopts a quadratic function, a cubic function, a logarithmic function, an exponential function or a power function.
Further, the distribution network evaluation model is as follows:
wherein Y in the modelkFitting a function, P, to the reliability score of the distribution network operation servicekAs a weight of the output class index, IkAnd k is the number of distribution network districts.
Further, the fitting method specifically comprises the following steps:
determining the number M of parameters to be solved according to the selected reliability rating fitting function;
setting M pairs of independent variable-dependent variable;
and substituting the M pairs of independent variables-dependent variables into the selected reliability rating fitting function to obtain an expression of the reliability rating fitting function, wherein the expression is used as the reliability rating fitting function of the distribution network operation service.
Further, in the M pairs of independent variable-dependent variable, the dependent variable is a score, and the independent variable is distribution network operation service historical data.
The invention also provides a distribution network efficiency evaluation system based on intelligent operation, which comprises the following components:
the acquisition unit is used for acquiring historical data of the operation service of the distribution network with various indexes on line;
a processor including a fitting unit, an evaluation unit, and a summing unit;
the fitting unit is used for extracting historical data of the operation service of each index distribution network one by one and fitting the historical data to obtain a reliability rating fitting function of the operation service of each index distribution network;
the evaluation unit is used for establishing a distribution network evaluation model based on a distribution network operation service reliability rating fitting function, taking the current data of the distribution network operation service as the input of the distribution network evaluation model, and calculating to obtain a distribution network evaluation value of each index distribution network operation service;
and the summing unit is used for summing the distribution network evaluation values of various distribution network operation services to obtain a distribution network efficiency evaluation total value.
Further, the system also comprises a server connected with the acquisition unit and used for storing historical data of the operation service of the distribution network with various indexes.
The device further comprises a memory, one end of the memory is connected with the acquisition unit, the other end of the memory is connected with the fitting unit, and the memory is used for caching the data extracted by the acquisition unit and is called by the fitting unit for processing.
And the display unit is connected with the processor and is used for displaying the reliability index score, the value of the distribution network evaluation model and the total value of the distribution network efficiency evaluation in real time.
Further, the processor further comprises an algorithm module for updating and storing the distribution network evaluation model.
The invention has the beneficial effects that:
by acquiring service detail data on line, the method analyzes distribution network operation service historical data with distribution network planning rationality, distribution network operation efficiency, distribution network line loss, fault first-aid repair and complaint, line station area power failure, industry expansion installation neck and other problems as various indexes, and integrates input-output weight.
The invention simultaneously utilizes the data mining technology, can realize the preliminary quantitative evaluation which can be researched on the project to be invested, reduces the blindness of project investment and improves the efficiency.
By researching the input and output characteristics of the power grid, the power grid investment benefit evaluation theory and application research are developed, and on the basis, a relatively objective power grid evaluation index system and an evaluation model are established from the two aspects of social economy and internal management finance, so that the evaluation of power distribution networks of the whole country can be realized.
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FIG. 1 is a flow chart of the method of the present invention.
The specific implementation mode is as follows:
the invention will be further illustrated with reference to the following examples and drawings:
it should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
A typical embodiment of the present invention is a distribution network efficiency evaluation method based on intelligent operation, as shown in fig. 1: the method comprises the following steps:
(1) acquiring historical data of distribution network operation services with various indexes on line;
(2) extracting historical data of the distribution network operation service of each index one by one, and fitting to obtain a reliability rating fitting function of the distribution network operation service of each index;
(3) the method comprises the steps of establishing a distribution network evaluation model based on a distribution network operation service reliability rating score fitting function, taking current data of distribution network operation services as input of the distribution network evaluation model, calculating distribution network evaluation values of each index distribution network operation service, and summing the distribution network evaluation values of various distribution network operation services to obtain a distribution network efficiency evaluation total value.
Further, the reliability score fitting function adopts a quadratic function, a cubic function, a logarithmic function, an exponential function or a power function.
Further, the distribution network evaluation model is as follows:
wherein Y in the modelkFitting a function, P, to the reliability score of the distribution network operation servicekAs a weight of the output class index, IkAnd k is the number of distribution network districts.
The fitting method comprises the following specific steps: determining the number M of parameters to be solved according to the selected reliability rating fitting function; setting M pairs of independent variable-dependent variable; and substituting the M pairs of independent variables-dependent variables into the selected reliability rating fitting function to obtain an expression of the reliability rating fitting function, wherein the expression is used as the reliability rating fitting function of the distribution network operation service.
In the M pairs of independent variables and dependent variables, the dependent variables are scores, and the independent variables are distribution network operation service historical data.
An application based on the above embodiment is given below:
matching quadratic function, cubic function, logarithmic function, exponential function and power function to historical data of distribution network operation services of different types of units for fitting analysis, wherein the cubic function has the highest fitting degree, but the calculation is complex, the fitting degree of the quadratic function and the cubic function is approximate, and the calculation is relatively simple, so that the quadratic function (y ═ ax) is selected2+ bx + c) as index scoring model.
And screening an optimal index value, a standard index value and a minimum index value of the scoring model x by comparing historical index values of each unit in 5 years, setting scores y corresponding to the optimal index value, the standard index value and the minimum index value to be 100 scores, 80 scores and 0 score respectively, for example, when the optimal value, the standard value and the minimum value of the user power supply reliability are combined into (1,100), (0.95,80) and (0.8,0), solving the unitary quadratic function to obtain the values of a, b and c. As follows:
obtaining a reliability rating score fitting function of the distribution network operation service as follows:
and then, the score of the current data of the distribution network operation service is brought into a distribution network evaluation model to calculate the efficiency evaluation index, the data of a certain index type of a certain unit is substituted into the efficiency evaluation model, the efficiency evaluation index corresponding to the unit can be obtained, and the sum of the efficiency evaluation indexes is the total efficiency evaluation value of the distribution network of the unit. And analyzing and deciding the distribution network items according to the distribution network efficiency evaluation total value and various efficiency evaluation values of each unit distribution network item, and reasonably distributing the proportion of each unit.
Another embodiment of the present invention is a distribution network efficiency evaluation system based on intelligent operation, including:
the acquisition unit is used for acquiring historical data of the operation service of the distribution network with various indexes on line;
a processor including a fitting unit, an evaluation unit, and a summing unit;
the fitting unit is used for extracting historical data of the operation service of each index distribution network one by one and fitting the historical data to obtain a reliability rating fitting function of the operation service of each index distribution network;
the evaluation unit is used for establishing a distribution network evaluation model based on a distribution network operation service reliability rating fitting function, taking the current data of the distribution network operation service as the input of the distribution network evaluation model, and calculating to obtain a distribution network evaluation value of each index distribution network operation service;
and the summing unit is used for summing the distribution network evaluation values of various distribution network operation services to obtain a distribution network efficiency evaluation total value.
The embodiment also comprises a server connected with the acquisition unit and used for storing historical data of the operation service of the distribution network with various indexes.
The embodiment further comprises a memory, one end of the memory is connected with the obtaining unit, the other end of the memory is connected with the fitting unit, and the memory is used for caching the data extracted by the obtaining unit and is called by the fitting unit for processing.
The embodiment further comprises a display unit connected with the processor and used for displaying the reliability index score, the value of the distribution network evaluation model and the total value of the distribution network efficiency evaluation in real time.
The processor of this embodiment further includes an algorithm module, which is used to update and store the distribution network evaluation model.
When the existing distribution network evaluation model needs to be updated and improved, the model can be improved, and the adaptability of the system is enhanced.
By acquiring service detail data on line, the method analyzes the problems of distribution network planning rationality, distribution network operation efficiency, distribution network line loss, fault emergency repair and complaint, line station area power failure, industry expansion installation neck and the like as various distribution network operation service historical data and integrates the distribution network operation service historical data into input-output weight.
The invention simultaneously utilizes the data mining technology, can realize the preliminary quantitative evaluation which can be researched on the project to be invested, reduces the blindness of project investment and improves the efficiency. By researching the input and output characteristics of the power grid, the power grid investment benefit evaluation theory and application research are developed, and on the basis, a relatively objective power grid evaluation index system and an evaluation model are established from the two aspects of social economy and internal management finance, so that the evaluation of power distribution networks of the whole country can be realized.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (6)
1. A distribution network efficiency evaluation method based on intelligent operation is characterized by comprising the following steps:
(1) acquiring historical data of distribution network operation services with various indexes on line;
(2) extracting the historical data of the distribution network operation service of each index one by one, and fitting to obtain a reliability rating fitting function of the distribution network operation service of each index;
(3) establishing a distribution network evaluation model based on a distribution network operation service reliability rating score fitting function, taking current data of distribution network operation services as input of the distribution network evaluation model, calculating to obtain a distribution network evaluation value of each index distribution network operation service, and summing the distribution network evaluation values of various distribution network operation services to obtain a distribution network efficiency evaluation total value;
the distribution network operation service historical data with various indexes comprises distribution network planning rationality, distribution network operation efficiency, distribution network line loss, fault first-aid repair and complaint, line area power failure and industry expansion installation 'neck';
the reliability score fitting function adopts a quadratic function, a cubic function, a logarithmic function, an exponential function or a power function;
the distribution network evaluation model is as follows:
wherein Y in the modelkFitting a function, P, to the reliability score of the distribution network operation servicekAs a weight of the output class index, IkThe weight of the input index is, and k is the number of distribution network districts;
the fitting method comprises the following specific steps:
determining the number M of parameters to be solved according to the selected reliability rating fitting function;
setting M pairs of independent variable-dependent variable;
substituting the M pairs of independent variables-dependent variables into the selected reliability rating fitting function to obtain an expression of the reliability rating fitting function, wherein the expression is used as the reliability rating fitting function of the distribution network operation service;
in the M pairs of independent variables and dependent variables, the dependent variables are scores, and the independent variables are distribution network operation service historical data.
2. The intelligent operation-based distribution network performance evaluation system based on claim 1 is characterized by comprising:
the acquisition unit is used for acquiring historical data of the operation service of the distribution network with various indexes on line;
a processor including a fitting unit, an evaluation unit, and a summing unit;
the fitting unit is used for extracting historical data of the operation service of each index distribution network one by one and fitting the historical data to obtain a reliability rating fitting function of the operation service of each index distribution network;
the evaluation unit is used for establishing a distribution network evaluation model based on a distribution network operation service reliability rating fitting function, taking the current data of the distribution network operation service as the input of the distribution network evaluation model, and calculating to obtain a distribution network evaluation value of each index distribution network operation service;
and the summing unit is used for summing the distribution network evaluation values of various distribution network operation services to obtain a distribution network efficiency evaluation total value.
3. The system of claim 2, further comprising a server connected to the obtaining unit and configured to store historical data of operation services of the distribution network with various indexes.
4. The system of claim 2, further comprising a memory, one end of the memory is connected to the obtaining unit, and the other end of the memory is connected to the fitting unit, and the memory is used for buffering the data extracted by the obtaining unit and being called by the fitting unit for processing.
5. The system of claim 2, further comprising a display unit coupled to the processor for displaying the reliability indicator score, the values of the distribution network evaluation model, and the total values of the distribution network performance evaluations in real time.
6. The system of claim 2, wherein the processor further comprises an algorithm module for updating and saving the distribution network evaluation model.
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| CN112529428A (en) * | 2020-12-16 | 2021-03-19 | 亚联（天津）信息技术有限责任公司 | Method and equipment for evaluating operation efficiency of bank outlet equipment |
| CN113127318A (en) * | 2021-04-01 | 2021-07-16 | 中科恒运股份有限公司 | Efficiency evaluation system of communication navigation equipment |
| CN117097639B (en) * | 2023-08-16 | 2024-01-30 | 广州尚全信息技术有限公司 | Real-time prompting method and system for network risk |
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| CN102930482A (en) * | 2012-11-30 | 2013-02-13 | 河北省电力公司电力科学研究院 | Investment effect evaluation method for county power distribution networks |
| CN104573947A (en) * | 2014-12-29 | 2015-04-29 | 国家电网公司 | Comprehensive evaluation method for low-voltage transformer areas of regional intelligent distribution network |
| CN104899645A (en) * | 2015-04-03 | 2015-09-09 | 国家电网公司 | Evaluation system of urban power distribution network intelligent reconstruction |
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| CN102930482A (en) * | 2012-11-30 | 2013-02-13 | 河北省电力公司电力科学研究院 | Investment effect evaluation method for county power distribution networks |
| CN104573947A (en) * | 2014-12-29 | 2015-04-29 | 国家电网公司 | Comprehensive evaluation method for low-voltage transformer areas of regional intelligent distribution network |
| CN104899645A (en) * | 2015-04-03 | 2015-09-09 | 国家电网公司 | Evaluation system of urban power distribution network intelligent reconstruction |
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