CN111105169A - Comprehensive evaluation method for power quality - Google Patents
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Abstract
The invention discloses a comprehensive evaluation method for power quality, which comprises the following steps: s10: grading evaluation indexes influencing the power quality of an object to be evaluated; s20, carrying out quantitative normalization processing on the data of all the evaluation indexes; s30, constructing an extension evaluation matter element model based on each evaluation index and the divided grades; s40: constructing a correlation function matrix based on an extension evaluation object model; s50: and determining the grade of the object to be evaluated. The invention evaluates the power quality from the electromagnetic compatibility angle of the power grid equipment, and divides the evaluation grade according to the power quality compatibility limit value to realize comprehensive quantitative evaluation of the power quality.
Description
Technical Field
The invention relates to a comprehensive evaluation method for power quality.
Background
With the continuous deepening of the power market reform, the power selling side gradually forms a 'multi-buyer-multi-seller' pattern, and the market competition is intensified. The multi-element electricity selling main body improves market share, and brings power supply quality, service level and value-added service into market trading category while trading electric quantity with users. The quality of electric energy plays an increasingly important role in the power market as an important attribute of electric energy, a special commodity. The comprehensive evaluation of the power quality of the power grid is a premise and a basis for realizing the customization of the power quality and the pricing of the power according to the quality, and has important significance for deepening the reformation of the power system and promoting the unified, open and competitive and ordered development of the power market. The prior art cannot fundamentally solve the problem of subjectivity of evaluation, cannot objectively and accurately evaluate the quality of electric energy, and cannot truly reflect the quality level of the electric energy.
Disclosure of Invention
Aiming at the technical problems in the prior art, the embodiment of the invention provides a comprehensive evaluation method for electric energy quality.
In order to solve the technical problem, the embodiment of the invention adopts the following technical scheme:
the comprehensive evaluation method for the power quality is characterized by comprising the following steps of:
s10: grading evaluation indexes influencing the power quality of an object to be evaluated;
s20, carrying out quantitative normalization processing on the data of all the evaluation indexes;
s30, constructing an extension evaluation matter element model based on each evaluation index and the divided grades;
s40: constructing a correlation function matrix based on an extension evaluation object model;
s50: and determining the grade of the object to be evaluated.
Preferably, the evaluation index includes: 6 indexes of voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic wave, three-phase voltage unbalance and short-time power frequency change are adopted; dividing each evaluation index into: excellent, good, medium, qualified, bad and extremely bad 6 grades.
Preferably, S20 includes the steps of:
performing per-unit analysis on the data of the evaluation index;
and normalizing the data after per unit.
Preferably, the measured value of the power quality index is per-unit by using the following formula:
wherein: x is the number ofj,thThe electromagnetic compatibility limit value specified for the j-th class index in the IEC.
Preferably, the data after per unit is normalized by the following formula:
wherein: x'jmaxAnd x'jminThe maximum value and the minimum value after the per unit in each level of the evaluation index are respectively.
Preferably, S30 includes:
extension evaluation object element model for constructing ith bus
Wherein: n is a radical ofiRepresenting an object to be evaluated (i is 1,2, …, n), wherein n is the number of substation buses; n is a radical ofiHas 6 characteristics c ═ c1，c2，…，c6Corresponding to voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic, three-phase voltage unbalance and short-time power frequency change, wherein the magnitude values are vij1,vij2,…,vij6，vij＝x″ij；
Extension evaluation matter element classical domain for constructing ith bus
Extension evaluation object element section domain for constructing ith bus
Preferably, S40 includes: establishing an n multiplied by m order correlation function matrix of the ith bus, wherein:
preferably, S50 includes:
calculating the association degree of the ith bus with respect to all levels by using the following formula
Calculating the maximum correlation degree K of the ith bus0i
K0i＝max Kijj∈{1，2，…，6}
Compared with the prior art, the electric energy quality comprehensive evaluation method has the beneficial effects that:
the invention evaluates the power quality from the electromagnetic compatibility angle of the power grid equipment, and divides the evaluation grade according to the power quality compatibility limit value to realize comprehensive quantitative evaluation of the power quality.
Drawings
Fig. 1 is an outflow diagram of a power quality comprehensive evaluation method provided by an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1, the comprehensive evaluation method for power quality provided by the present invention comprises the following steps:
s10: grading evaluation indexes influencing the power quality of an object to be evaluated;
s20, carrying out quantitative normalization processing on the data of all the evaluation indexes;
s30, constructing an extension evaluation matter element model based on each evaluation index and the divided grades;
s40: constructing a correlation function matrix based on an extension evaluation object model;
s50: and determining the grade of the object to be evaluated.
Specifically, first, each index is classified based on 6 types of index limit values such as voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic, three-phase voltage unbalance, and short-time power frequency change specified in the IEC electromagnetic compatibility standard. The qualified range defined by the limit is divided into 4 grades, i, ii, iii and iv respectively. These 4 classes all belong to compatible regions, with class i being the optimum. I. The percentage of the II grade, the III grade and the IV grade in the qualified interval is respectively 10%, 20%, 30% and 40%. The unqualified range outside the limit value is averagely divided into 2 grades V and VI, wherein the 2 grades belong to the electromagnetic incompatible area, and the VI grade is the worst. If the unqualified range outside the limit specification has no outer boundary, the double limit and the triple limit are used as the outer boundary of the 2 grades of V and VI. According to the principle, the evaluation indexes are divided into 6 grades from good to bad, wherein the 6 grades comprise I, II, III, IV, V and VI, and the 6 grades respectively represent the good, medium, qualified, poor and extremely poor electric energy quality.
And 6 types of index evaluation grades of voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic wave, three-phase voltage unbalance, short-time power frequency change and the like are determined, and are shown in table 1.
TABLE 1 index evaluation grade
Determining 6 index grade ranges of voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic, three-phase voltage unbalance, short-time power frequency change and the like after per unit, as shown in table 2.
TABLE 2 evaluation index grade Range after Per-Unit
And 6 types of index data such as voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic wave, three-phase voltage unbalance, short-time power frequency change and the like are normalized and quantized.
The data of voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic, three-phase voltage unbalance and short-time power frequency change on the ith bus are respectively xi1，xi2，xi3，xi4，xi5，xi6And (4) showing.
X is to beijIEC electromagnetic compatibility limit x divided by class j indexj,thCalculating to obtain a normalized quantized value x 'of the j-th index'ijAs shown in formula (1).
In the formula, xj,thThe electromagnetic compatibility limit value specified for the j-th class index in the IEC.
Normalizing quantized values x 'of 6 indexes such as voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic wave, three-phase voltage unbalance and short-time power frequency change'ijAnd performing per unit treatment as shown in the formula (2).
In the formula, x ″)ijIs a per unit value; x'jmaxAnd x'jminThe index data are the per-unit numerical values of the maximum value and the minimum value of the index data in the IEC standard respectively.
And (4) constructing an extension evaluation object model of the ith bus, as shown in a formula (3).
In the formula, NiRepresenting an object to be evaluated (i is 1,2, …, n), wherein n is the number of substation buses; n is a radical ofiHas 6 characteristics c ═ c1，c2，…，c6Corresponding to voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic, three-phase voltage unbalance and short-time power frequency change, wherein the magnitude values are vij1,vij2,…,vij6，vij＝x″ij。
And constructing an extension evaluation object element classical domain of the ith bus, wherein the classical domain describes a data range of each state grade about corresponding characteristics, and the data range is shown as a formula (4).
Wherein k is 1,2, … … 6, and the extension evaluation object element of the ith bus is divided into 6 grades, Ri1、Ri2、Ri3、Ri4、Ri5And Ri6Corresponding to the electric energy quality is excellent, good, medium, qualified, bad and extremely bad;<ai1,bi1>～<ai6,bi6>values were taken according to the evaluation index ranges shown in table 2. For example, the classical domain model of the 2 nd level power quality of the ith bus can be expressed as
And constructing an extension evaluation object element section domain of the ith bus, describing the magnitude range of the state grade taken by the whole body about certain characteristics, as shown in a formula (5).
In the formula, the subscript p represents a node domain.
And (4) obtaining a correlation function value, and establishing an n multiplied by m order correlation function matrix of the ith bus, as shown in a formula (6).
In the formula (I), the compound is shown in the specification,
ρ(x″iIJ,x0,X0) The distance between the right side and the left side is,
m is the number of grades evaluated, and n is the number of evaluation indexes; a isIJAnd bIJValues were taken according to the evaluation index ranges shown in table 2.
And (4) calculating the correlation degree of the ith bus relative to the grades of 1-6, as shown in a formula (7).
In the formula, KjEvaluating the degree of association of the object with the level j for the ith bus ηijAre weight coefficients.
The annual economic losses caused by 6 conditions of voltage fluctuation, long-time voltage flicker, short-time voltage flicker, voltage harmonic, three-phase voltage unbalance and short-time power frequency change of the ith bus are respectively recorded as Si1、Si2、Si3、Si4、Si5And Si6The total economic loss is denoted as SiWeighting factor ηijIs composed of
ηij＝Sij/Si(9)
In the formula, Si＝Si1+Si2+Si3+Si4+Si5+Si6
Calculating the maximum correlation degree K of the ith bus0iAs shown in formula (9).
K0i＝max Kijj∈{1,2,…,6} (10)
And determining the grade of the ith bus electric energy quality according to the grade corresponding to the maximum correlation degree.
The above embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and the scope of the present invention is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present invention, and such modifications and equivalents should also be considered as falling within the scope of the present invention.
Claims (8)
1. The comprehensive evaluation method for the power quality is characterized by comprising the following steps of:
s10: grading evaluation indexes influencing the power quality of an object to be evaluated;
s20, carrying out quantitative normalization processing on the data of all the evaluation indexes;
s30, constructing an extension evaluation matter element model based on each evaluation index and the divided grades;
s40: constructing a correlation function matrix based on an extension evaluation object model;
s50: and determining the grade of the object to be evaluated.
2. The comprehensive evaluation method for the power quality according to claim 1, wherein the evaluation index comprises: 6 indexes of voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic wave, three-phase voltage unbalance and short-time power frequency change are adopted; dividing each evaluation index into: excellent, good, medium, qualified, bad and extremely bad 6 grades.
3. The comprehensive evaluation method of power quality according to claim 2, wherein S20 comprises the steps of:
performing per-unit analysis on the data of the evaluation index;
and normalizing the data after per unit.
4. The comprehensive power quality evaluation method according to claim 3, wherein the power quality index measurement value is per-unit represented by the following formula:
wherein: x is the number ofj,thThe electromagnetic compatibility limit value specified for the j-th class index in the IEC.
5. The comprehensive power quality evaluation method according to claim 4, wherein the data after per unit is normalized by the following formula:
wherein: x'jmaxAnd x'jminThe maximum value and the minimum value after the per unit in each level of the evaluation index are respectively.
6. The comprehensive evaluation method for the quality of electric energy according to claim 5, wherein S30 includes:
extension evaluation object element model for constructing ith bus
Wherein: n is a radical ofiRepresenting an object to be evaluated (i is 1,2, …, n), wherein n is the number of substation buses; n is a radical ofiHas 6 characteristics c ═ c1，c2，…，c6Corresponding to voltage fluctuation, voltage long-time flicker, voltage short-time flicker, voltage harmonic, three-phase voltage unbalance and short-time power frequency change, wherein the magnitude values are vij1,vij2,…,vij6，vij＝x”ij；
Extension evaluation matter element classical domain for constructing ith bus
Extension evaluation object element section domain for constructing ith bus
7. The comprehensive evaluation method of electric energy quality according to claim 6, wherein S40 includes: establishing an n multiplied by m order correlation function matrix of the ith bus
Wherein:
8. the comprehensive evaluation method of electric energy quality according to claim 7, wherein S50 includes:
calculating the association degree of the ith bus with respect to all levels by using the following formula
Calculating the maximum correlation degree K of the ith bus0i
K0i＝max Kijj∈{1，2，…，6}。
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101246569A (en) * | 2008-02-28 | 2008-08-20 | 江苏省电力试验研究院有限公司 | Electric network energy quality synthetic appraisement method based on analytic hierarchy process and fuzzy algorithm |
| CN106056235A (en) * | 2016-05-18 | 2016-10-26 | 西安交通大学 | Power transmission grid efficiency and benefit detection method based on Klee method and matter element extension model |
| CN106339813A (en) * | 2016-08-28 | 2017-01-18 | 华南理工大学 | Power quality comprehensive evaluation method based on supporting probability distance |
| CN106651656A (en) * | 2016-12-28 | 2017-05-10 | 国网江西省电力公司经济技术研究院 | Power supply reliability fuzzy comprehensive evaluation method based on improved membership degree function |
| CN107222323A (en) * | 2016-03-22 | 2017-09-29 | 中国电力科学研究院 | A kind of electric power Optical Transmission Network OTN running quality appraisal procedure |
| CN107330590A (en) * | 2017-06-19 | 2017-11-07 | 华北电力大学 | A kind of nuclear plant safety postitallation evaluation method based on Information Entropy and matter element extension method |
| CN109447459A (en) * | 2018-10-26 | 2019-03-08 | 国网四川省电力公司达州供电公司 | A kind of energy quality comprehensive assessment method considering index's quality weighing factor |
| CN109521304A (en) * | 2018-12-07 | 2019-03-26 | 国网河南省电力公司电力科学研究院 | Description and appraisal procedure and the device of resistance characteristics temporarily drop in a kind of node voltage |
| CN110598968A (en) * | 2019-06-18 | 2019-12-20 | 国网安徽省电力有限公司滁州供电公司 | Power grid investment benefit evaluation method based on improved matter element extension model |
-
2019
- 2019-12-30 CN CN201911392730.XA patent/CN111105169A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101246569A (en) * | 2008-02-28 | 2008-08-20 | 江苏省电力试验研究院有限公司 | Electric network energy quality synthetic appraisement method based on analytic hierarchy process and fuzzy algorithm |
| CN107222323A (en) * | 2016-03-22 | 2017-09-29 | 中国电力科学研究院 | A kind of electric power Optical Transmission Network OTN running quality appraisal procedure |
| CN106056235A (en) * | 2016-05-18 | 2016-10-26 | 西安交通大学 | Power transmission grid efficiency and benefit detection method based on Klee method and matter element extension model |
| CN106339813A (en) * | 2016-08-28 | 2017-01-18 | 华南理工大学 | Power quality comprehensive evaluation method based on supporting probability distance |
| CN106651656A (en) * | 2016-12-28 | 2017-05-10 | 国网江西省电力公司经济技术研究院 | Power supply reliability fuzzy comprehensive evaluation method based on improved membership degree function |
| CN107330590A (en) * | 2017-06-19 | 2017-11-07 | 华北电力大学 | A kind of nuclear plant safety postitallation evaluation method based on Information Entropy and matter element extension method |
| CN109447459A (en) * | 2018-10-26 | 2019-03-08 | 国网四川省电力公司达州供电公司 | A kind of energy quality comprehensive assessment method considering index's quality weighing factor |
| CN109521304A (en) * | 2018-12-07 | 2019-03-26 | 国网河南省电力公司电力科学研究院 | Description and appraisal procedure and the device of resistance characteristics temporarily drop in a kind of node voltage |
| CN110598968A (en) * | 2019-06-18 | 2019-12-20 | 国网安徽省电力有限公司滁州供电公司 | Power grid investment benefit evaluation method based on improved matter element extension model |
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