CN114971128A - Electric energy quality comprehensive evaluation method based on blind number and improved uncertain measure - Google Patents
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Abstract
The invention discloses an electric energy quality comprehensive evaluation method based on blind number and improved uncertain measure, which comprises the following steps: selecting power quality indexes, grading the power quality indexes, and establishing a power quality comprehensive evaluation system; obtaining the comprehensive weight of each index by adopting an objective weighting method; constructing a blind number based on a blind number theory; carrying out blind number correction on data to be evaluated by utilizing the constructed blind number; measuring the data to be evaluated after blind number correction by adopting an improved uncertain function to obtain a single index measurement matrix; combining the comprehensive weight with the single index measurement matrix, and calculating to obtain a multi-index measurement matrix; setting confidence degree and carrying out grade assignment to obtain comprehensive evaluation grade and comprehensive evaluation score. The invention improves the rationality, accuracy and simplicity of evaluation based on blind number correction; the adopted curve type uncertain function can better pull the evaluation scores apart and has stronger resolution on evaluation points with similar conditions.
Description
Technical Field
The invention belongs to the technical field of electric energy quality evaluation, and particularly relates to an electric energy quality comprehensive evaluation method based on blind numbers and improved uncertain measures.
Background
With the increasing importance of electric energy to national economy, the maintenance of high-quality electric energy is challenged, so that the quality problem of electric energy receives more attention. How to reasonably and comprehensively evaluate the quality of the electric energy has significant meaning for the healthy development of the whole power grid system. The electric energy quality comprises a plurality of indexes such as voltage deviation, frequency deviation, harmonic content, voltage fluctuation and the like. The method can be divided into single evaluation and comprehensive evaluation, wherein the single evaluation is an evaluation method which only considers one index, ignores the influence brought by other indexes or defaults to other indexes without generating great influence; the comprehensive evaluation takes an index set consisting of a plurality of indexes or all indexes as a research object, and a certain mathematical algorithm is combined to obtain an overall result.
The comprehensive evaluation of the power quality is developed around the aspects of the fuzziness and the randomness of evaluation indexes, the subjectivity and the objectivity of evaluation weights, the complexity and the abstraction of an evaluation model and the like. The object to be considered for the comprehensive evaluation of the power quality is not only a branch line of a certain test point, but also industrial power utilization, residential power utilization and commercial power utilization of the whole region, and the result of mutual influence of all power utilization equipment is the content of the comprehensive evaluation of the power quality.
The comprehensive evaluation of the power quality comprises two parts of weight and an evaluation model, wherein the weight is divided into three types of subjective weighting, objective weighting and subjective and objective combined weighting, the model has the methods of fuzzy mathematics, radar mapping, grey evaluation and the like, and the evaluation result can be obtained by combining the weight with the model. The existing comprehensive evaluation method for the power quality is greatly influenced by subjective factors, evaluation differences cannot be opened when evaluation objects with similar conditions are encountered, and an evaluation model is too complex or not accurate enough. Particularly, the maximum value, the minimum value, the average value and 95% of the probability data exist in the power quality test, but the 95% of the probability is generally selected for evaluation in the power quality comprehensive evaluation, and certain errors exist.
Disclosure of Invention
The purpose of the invention is as follows: in order to solve the problems, the invention provides a comprehensive evaluation method for power quality based on blind numbers and improved uncertain measures, which aims to solve the problems that the existing comprehensive evaluation method for power quality is strong in subjectivity, complex in method, inaccurate in evaluation result and not beneficial to pulling up evaluation under the condition that the conditions of evaluation objects are similar.
In order to achieve the purpose, the invention adopts the following technical scheme:
a comprehensive evaluation method for electric energy quality based on blind number and improved uncertain measure comprises the following steps:
selecting power quality indexes, grading the power quality indexes, and establishing a power quality comprehensive evaluation system;
obtaining the comprehensive weight of each index by adopting a subjective and objective weighting method;
constructing a blind number based on a blind number theory;
carrying out blind number correction on data to be evaluated by utilizing the constructed blind number;
measuring the data to be evaluated after blind number correction by adopting an improved uncertain function to obtain a single index measurement matrix;
combining the comprehensive weight with the single index measurement matrix, and calculating to obtain a multi-index measurement matrix;
setting confidence degree and carrying out grade assignment to obtain comprehensive evaluation grade and comprehensive evaluation score.
As a further description of the above technical solution:
the electric energy quality indexes comprise: 5 th harmonic current, 7 th harmonic current, 5 th harmonic voltage, 7 th harmonic voltage, total voltage distortion rate, long-time flicker, voltage deviation and three-phase voltage unbalance degree. The grades are divided into: excellent, good, medium, normal and poor 5 grades.
As a further description of the above technical solution:
the blind number construction is that the ratio of the number of data in the corresponding section to the total data is used as the blind number of the interval, the interval of each index is composed of the maximum value and the minimum value in the front moment of the index evaluation data, and the interval is an upper interval and a lower interval respectively from large to small according to the mean value.
As a further description of the above technical solution:
the blind number correction formula is as follows:
wherein the corrected data is w i The data to be corrected is x i (ii) a The blind number of the upper interval is a i (ii) a The lower interval blind number is b i (ii) a And y is a correction coefficient, and when the absolute value of the interval difference is greater than 0.75, y is 1000, otherwise, y is 100.
As a further description of the above technical solution:
the improved unknown function is a curvilinear unknown function.
As a further description of the above technical solution:
and setting the confidence coefficient, namely identifying the grade by adopting a confidence coefficient method. The rating scores were 5, 4, 3, 2, 1 from excellent to poor. And the comprehensive evaluation score is obtained by multiplying the measurement value of each grade by the score of the grade, and the product sum corresponding to all the grades.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
according to the invention, based on blind number correction, comprehensive evaluation is carried out by utilizing the longitudinal and transverse data of the electric energy quality, so that the result of the comprehensive evaluation of the electric energy quality is more accurate, simplicity is embodied in the evaluation step, and the rationality, accuracy and simplicity of the evaluation are improved.
In the invention, the uncertain function adopts a curve-type uncertain function, so that the method has stronger resolution on evaluation points with similar conditions and better opens evaluation gaps.
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FIG. 1 is a flow chart of a comprehensive evaluation method for power quality based on blind number and improved uncertain measure according to the present invention;
fig. 2 is a flow chart of blind number evaluation in a comprehensive evaluation method of power quality based on blind number and improved uncertain measure according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention discloses an electric energy quality comprehensive evaluation method based on blind numbers and improved uncertain measures, which improves the rationality, accuracy and simplicity of evaluation based on blind number correction; the adopted curve type uncertain function can better pull the evaluation scores apart and has stronger resolution on evaluation points with similar conditions. As shown in fig. 1, the method comprises the steps of:
selecting power quality indexes, grading the power quality indexes, and establishing a power quality comprehensive evaluation system;
obtaining the comprehensive weight of each index by adopting an objective weighting method;
constructing a blind number based on a blind number theory;
carrying out blind number correction on data to be evaluated by utilizing the constructed blind number;
measuring the data to be evaluated after blind number correction by adopting an improved uncertain function to obtain a single index measurement matrix;
combining the comprehensive weight with the single index measurement matrix, and calculating to obtain a multi-index measurement matrix;
setting confidence degree and carrying out grade assignment to obtain comprehensive evaluation grade and comprehensive evaluation score.
The electric energy quality indexes comprise: 5 th harmonic current, 7 th harmonic current, 5 th harmonic voltage, 7 th harmonic voltage, total voltage distortion rate, long-time flicker, voltage deviation and three-phase voltage unbalance degree. The grade is divided into: excellent, good, medium, normal and poor 5 grades.
The blind number construction is that the ratio of the number of data in the corresponding section to the total data is used as the blind number of the interval, the interval of each index is composed of the maximum value and the minimum value in the front moment of the index evaluation data, and the interval is an upper interval and a lower interval respectively from large to small according to the mean value. The blind number correction formula is as follows:
wherein the corrected data is w i The data to be corrected is x i (ii) a The blind number of the upper interval is a i (ii) a The lower interval blind number is b i (ii) a And y is a correction coefficient, and when the absolute value of the interval difference is greater than 0.75, y is 1000, otherwise, y is 100.
The improved uncertain function is a curvilinear uncertain function. And setting the confidence level, namely identifying the level by adopting a confidence level method. The rating scores were 5, 4, 3, 2, 1 from excellent to poor. And the comprehensive evaluation score is obtained by multiplying the measurement value of each grade by the score of the grade, and the product sum corresponding to all the grades.
The method steps are described in detail and completely as follows:
1) selecting a power quality index, grading the power quality index, and establishing a power quality comprehensive evaluation system;
the selected power quality indexes X1-X8 are respectively as follows: long-time flicker, voltage deviation, three-phase voltage unbalance, total voltage distortion rate, 5-order harmonic voltage content rate, 7-order harmonic voltage content rate, 5-order harmonic current and 7-order harmonic current. The evaluation grade is divided into 1-5 grades, which respectively correspond to: excellent, good, medium, normal and poor 5 grades. As shown in the following table (the harmonic current limit needs to be calculated according to the specific short circuit capacity, power supply capacity, and protocol capacity, and is not given here at all):
electric energy quality evaluation index grading range meter
2) Obtaining the comprehensive weight of each index by adopting an objective weighting method;
the subjective weight is calculated by adopting an improved analytic hierarchy process, namely: and comparing the evaluation indexes pairwise according to expert experience, and sorting the evaluation indexes in a non-decreasing mode according to the importance degree. And then calculating other element values in the judgment matrix according to the transmissibility of the index importance degree, thereby obtaining the judgment matrix. The improved analytic hierarchy process is a scale expansion process, and scales of 5-order harmonic current, 7-order harmonic current, 5-order harmonic voltage, 7-order harmonic voltage, total voltage distortion rate, long-time flicker, voltage deviation and three-phase voltage unbalance degrees are respectively as follows: 1.2, 1.7, 1.2, 1.4. The first row of the judgment matrix is respectively: 1. scale 1, the product of scale 1 and scale 2, and. A second action: the inverse of scale 1, scale 2, the product of scale 2 and scale 3 and. The third row is: scale 1 inverse of the product of scale 2, scale 2 inverse, 1, scale 3 and scale 4 product, and scale n-1; ...; the last action is as follows: scale 1 the inverse of the product of scale 2 and. And analogizing in turn to obtain a judgment matrix R. Calculating subjective weighted values of each index according to the matrix R:
the calculation of the objective weights uses an improved entropy weight method, namely: firstly, the data is normalized, and then the characteristic specific gravity and the entropy value H are calculated j The formula of the conventional entropy weight method is as follows:
it can be seen that H j Approaching 1, a slight change will cause w 0j The value is multiplied, so there is an improved entropy weight:
in the formula (I), the compound is shown in the specification,
is the average of all entropy values not equal to 1, and w 1j Can be calculated from the following formula:
Using subjective weight W i And objective weight V i Deriving subjective and objective combination weights, i.e. composite weights A i 。A i The calculation formula is as follows:
3) as shown in fig. 2, the blind number is constructed based on the blind number theory;
and adopting longitudinal data analysis, namely selecting indexes at multiple moments for each evaluation object, finding out the maximum value and the minimum value in the multiple moments of each index to form an interval, and dividing the interval average into an upper section and a lower section. The blind number construction is to use the ratio of the number of data in the corresponding section to the total data as the blind number of the interval.
4) As shown in fig. 2, blind number correction is performed on the data to be evaluated by using the constructed blind number;
and correcting the original data by taking the data to be evaluated as the original data and combining with blind numbers obtained by longitudinal analysis through calculation to obtain the corrected data to be evaluated. The blind number correction formula is as follows:
wherein the corrected data is w i Data to be corrected is x i (ii) a The blind number of the upper interval is a i (ii) a The lower interval blind number is b i (ii) a And y is a correction coefficient, and when the absolute value of the interval difference is greater than 0.75, y is 1000, otherwise, y is 100.
5) Measuring the data to be evaluated after blind number correction by adopting an improved uncertain function to obtain a single index measurement matrix;
the uncertain measurement of the electric energy quality single-term index is calculated by means of an uncertain measurement function, the structure of the function mainly comprises various curve distribution modes such as a linear type, a parabolic type and an exponential type, the linear type uncertain function is commonly used, and in order to better pull apart the difference near the intersection point, the improved unknown function, namely the curve type uncertain function, is adopted for measurement. Let x j For the measured value of the index j, the evaluation interval set is divided into 5 levels, i.e., C ═ C 1 ,C 2 ,C 3 ,C 4 ,C 5 And C, and C 1 ＝[0,a)，C 2 ＝[a,b)，C 3 ＝[b,c)，C 4 ＝[c,d)， C 5 X ═ d, infinity), then x j The curve type uncertain measure functions respectively belonging to each evaluation interval are respectively shown as the following formula:
the data to be evaluated after blind number correction is substituted into a curve type uncertain measurement function to obtain a single index measurement matrix Z ij 。
6) Combining the comprehensive weight with the single index measure matrix, and calculating to obtain a multi-index measure matrix;
using the calculated integrated weight matrix A i And a single index measurement matrix Z ij Multiplying correspondingly to obtain a multi-index measurement matrix Z i 。
7) Setting confidence degree and carrying out grade assignment to obtain comprehensive evaluation grade and comprehensive evaluation score.
Setting confidence coefficient, namely, adopting a confidence coefficient method to identify the grade, setting the confidence coefficient as lambda, and ordering:
the power quality level of the observation point belongs to k 0 。
The grade scores were 5, 4, 3, 2, 1 from excellent to poor. The composite evaluation score is the measure of each grade multiplied by the score of that grade.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A comprehensive electric energy quality evaluation method based on blind number and improved uncertain measure is characterized by comprising the following steps:
selecting power quality indexes, grading the power quality indexes, and establishing a power quality comprehensive evaluation system;
obtaining the comprehensive weight of each index by adopting an objective weighting method;
constructing a blind number based on a blind number theory;
carrying out blind number correction on data to be evaluated by utilizing the constructed blind number;
measuring the data to be evaluated after blind number correction by adopting an improved uncertain function to obtain a single index measurement matrix;
combining the comprehensive weight with the single index measurement matrix, and calculating to obtain a multi-index measurement matrix;
setting confidence degree and carrying out grade assignment to obtain comprehensive evaluation grade and comprehensive evaluation score.
2. The method according to claim 1, wherein the power quality indicators comprise: 5-order harmonic current, 7-order harmonic current, 5-order harmonic voltage, 7-order harmonic voltage, total voltage distortion rate, long-time flicker, voltage deviation and three-phase voltage unbalance degree; the grades are divided into: excellent, good, medium, normal and poor 5 grades.
3. The method according to claim 1, wherein the blind number construction is that the ratio of the number of data in the corresponding section to the total data is used as the blind number of the interval, the interval of each index is composed of the maximum value and the minimum value in the time of the front row of the index evaluation data, and the interval is the upper interval and the lower interval respectively from large to small according to the mean value.
4. The method for comprehensively evaluating the quality of electric energy based on the blind number and the improved uncertain measure according to claim 1, wherein the blind number correction formula is as follows:
wherein the corrected data is w i The data to be corrected is x i (ii) a The blind number of the upper interval is a i (ii) a The lower interval blind number is b i (ii) a y is a correction systemAnd when the absolute value of the interval difference is larger than 0.75, y =1000, otherwise, y = 100.
5. The method for comprehensively evaluating the quality of electric energy based on blind numbers and improved uncertain measures according to claim 1, characterized in that the improved uncertain function is a curvilinear uncertain function.
6. The comprehensive electric energy quality assessment method based on blind numbers and improvement uncertain measures according to claim 1, characterized in that the setting of confidence level is to identify the level by using a confidence method; the grade scores are respectively 5, 4, 3, 2 and 1 from excellent to poor; and the comprehensive evaluation score is the product sum of the measured value of each grade and the score of the grade.
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