CN108009697A - A kind of comprehensive estimation method of power quality controlling scheme - Google Patents

A kind of comprehensive estimation method of power quality controlling scheme Download PDF

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Publication number
CN108009697A
CN108009697A CN201610971965.4A CN201610971965A CN108009697A CN 108009697 A CN108009697 A CN 108009697A CN 201610971965 A CN201610971965 A CN 201610971965A CN 108009697 A CN108009697 A CN 108009697A
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China
Prior art keywords
power quality
quality controlling
scheme
index
evaluation index
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CN201610971965.4A
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Chinese (zh)
Inventor
蒋利民
闫华光
孟珺遐
尹忠东
张碧涵
冯寅
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BEIJING KELIYUAN ENERGY TECHNOLOGY Co Ltd
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
North China Electric Power University
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
Original Assignee
BEIJING KELIYUAN ENERGY TECHNOLOGY Co Ltd
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
North China Electric Power University
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Priority to CN201610971965.4A priority Critical patent/CN108009697A/en
Publication of CN108009697A publication Critical patent/CN108009697A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395Quality analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/82Energy audits or management systems therefor

Abstract

The present invention proposes a kind of comprehensive estimation method of power quality controlling scheme, realizes following functions:Power quality controlling schemes synthesis evaluation index system is established, combination weights are carried out to evaluation index with reference to the strong analytic hierarchy process (AHP) of subjectivity and the strong entropy weight analysis method of objectivity, then realized by Grey Incidence and Scientific evaluation is carried out to system under evaluation.The present invention proposes a kind of comprehensive estimation method of power quality controlling scheme, and the effective comprehensive energy efficiency for assessing power quality controlling scheme is horizontal.

Description

A kind of comprehensive estimation method of power quality controlling scheme
Technical field
The present invention relates to a kind of comprehensive estimation method of power quality controlling scheme, belongs to power distribution network management of power supply and power utilization neck Domain.
Background technology
In modern power systems, non-linear, impact, fluctuation and out-of-balance load substantial increase, various power electronics The application of equipment is more and more extensive, causes the power quality problems such as Voltage Drop, fluctuation and flickering, harmonic wave to be on the rise, Extreme influence is produced to terminal power consumer, is interrupted as product quality declines even production process, causes huge economic loss.
Now, requirement of the user to power quality is higher and higher, and the only resource for improving existing issue is to carry out electric energy Quality controlling, its main target are:
(1) influence of the pollution sources access to power grid is reduced, improves power grid power quality index;
(2) improve pollution sources enterprises miscellaneous equipment operating condition, improve working life, reduce failure rate;
(3) energy is saved, reduces unnecessary loss;
(4) improve the service condition of nonlinear-load, improve work efficiency;
(5) influence of the pollution sources to proximal subscribers is reduced, reduces the dispute and complaint of power quality accident.
The present invention provides a kind of comprehensive estimation method of power quality controlling scheme, it is comprehensive to establish power quality controlling scheme Evaluation index system is closed, it is comprehensive to evaluation index progress with reference to the strong analytic hierarchy process (AHP) of subjectivity and the strong entropy weight analysis method of objectivity The power of tax is closed, then is realized by Grey Incidence and Scientific evaluation is carried out to system under evaluation.The present invention proposes a kind of power quality and controls The comprehensive estimation method of reason scheme, the effective comprehensive energy efficiency for assessing power quality controlling scheme are horizontal.
The content of the invention
It is an object of the present invention to provide a kind of comprehensive estimation method of power quality controlling scheme, establish power quality and control Schemes synthesis evaluation index system is managed, assessment is referred to reference to the strong analytic hierarchy process (AHP) of the subjectivity entropy weight analysis method strong with objectivity Mark carries out combination weights, then is realized by Grey Incidence and carry out Scientific evaluation to system under evaluation.
To reach this purpose, the present invention uses following scheme.
A kind of comprehensive estimation method of power quality controlling scheme, including:
1. establish power quality controlling schemes synthesis evaluation index system;
2. combining expert opinion, the weight of each index is calculated according to analytic hierarchy process (AHP);
3. the weight of each index is calculated according to E-government Network;
4. the weights of binding hierarchy analytic approach and E-government Network calculate comprehensive weight;
5. the comprehensive energy efficiency based on Grey Incidence assessment power quality controlling scheme is horizontal;
Wherein, with reference to expert opinion, the weight of each index is calculated according to analytic hierarchy process (AHP) to be included:
(1) construction contrast matrix, wherein n is index quantity
(2) consistency check is carried out to matrix
Calculate the Maximum characteristic root λ max of contrast matrix and to answered feature vector ξ, one is carried out according to coincident indicator Cause property is examined.Consistency check is determined by calculating consistency ration CR, if CR < 0.1, which are matrix, meets that uniformity will Ask, then feature vector (after normalization) weight vector the most determined by analytic hierarchy process (AHP);Reconfigured if it can't pass to comparing Battle array.Wherein,
Each index weights determined by analytic hierarchy process (AHP) are
A=(aj)1×nmax (4)
Wherein, the weight of each index is calculated according to E-government Network to be included:
(1) standardization of data.Each evaluation index original data are standardized, it is assumed that there is n assessment to refer to Mark, m assessment system, raw data matrix are
Yij=(yij)m×n (5)
New evaluations matrix is obtained after standardization
Fij=(fij)m×n (6)
Wherein
(2) entropy weight of each evaluation index is calculated.The entropy weight of j-th of evaluation index is defined as:
Wherein Hj represents the entropy of j-th of evaluation index, and calculation formula is
Wherein, the weights of binding hierarchy analytic approach and E-government Network calculate comprehensive weight and include:
Combination weights are carried out to index using multiplicative synthesis method, calculation formula is:
Wherein, the comprehensive energy efficiency level based on Grey Incidence assessment power quality controlling scheme includes:
(1) development of judgment matrix.Define the degree of association and judge judgment matrix R(m+1)×n, according to the index assessed resolution Determine ideal indicator to Ro=(r01 r02…r0n), the integrated decision-making for carrying out multiple target be compare in m scheme n element and The degree of association of ideal indicator vector, then grey relational grade judgment matrix can be obtained:
(2) i-th of scheme and grey incidence coefficient of the ideal scheme on j-th of index are calculated.
Wherein, ρ is resolution ratio, usually takes 0.5.
(3) calculating correlation.Define riFor evaluation scheme and the degree of association of ideal indicator scheme.
(4) compared according to the numerical value of the degree of association, analyze the quality of resolution to be assessed.
The beneficial effects of the invention are as follows:Power quality controlling schemes synthesis evaluation index system is established, it is subjective by combining Property strong analytic hierarchy process (AHP) with the strong entropy weight analysis method of objectivity these indexs are carried out with combination weights, it is then real by Grey Incidence Now to the comprehensive assessment of power quality controlling scheme.
Brief description of the drawings
Fig. 1 is the comprehensive assessment flow chart of power quality controlling scheme.
Embodiment
The present invention is described in further details below in conjunction with the accompanying drawings.
The present invention provides a kind of comprehensive estimation method of power quality controlling scheme, the described method comprises the following steps:
Step 1:Power quality controlling schemes synthesis evaluation index system is established, the index system includes:Power quality The technical evaluation index of resolution, the economic evaluation index of power quality controlling scheme, power quality controlling scheme Adaptability teaching index;
The technical evaluation index of the power quality controlling scheme includes:Percent harmonic distortion, voltage deviation, three-phase are uneven Weighing apparatus degree, voltage fluctuation, line loss per unit;
The economic evaluation index of the power quality controlling scheme includes:Equipment cost, year operation and maintenance cost;
The adaptability teaching index of the power quality controlling scheme includes:Floor space;
Step 2:With reference to expert opinion, according to the weight of each index of analytic hierarchy process (AHP) calculating;
The step 2 includes:
Step 2-1:Construction contrast matrix, wherein n is index quantity
Step 2-2:Consistency check is carried out to matrix
Calculate the Maximum characteristic root λ max of contrast matrix and to answered feature vector ξ, one is carried out according to coincident indicator Cause property is examined.Consistency check is determined by calculating consistency ration CR, if CR < 0.1, which are matrix, meets that uniformity will Ask, then feature vector (after normalization) weight vector the most determined by analytic hierarchy process (AHP);Reconfigured if it can't pass to comparing Battle array.Wherein,
Each index weights determined by analytic hierarchy process (AHP) are
A=(aj)1×nmax (17)
Step 3:The weight of each index is calculated according to E-government Network;
The step 3 includes:
Step 3-1:The standardization of data.Each evaluation index original data are standardized, it is assumed that there are n to comment Estimate index, m assessment system, raw data matrix is
Yij=(yij)m×n (18)
New evaluations matrix is obtained after standardization
Fij=(fij)m×n (19)
Wherein
Step 3-2:Calculate the entropy weight of each evaluation index.The entropy weight of j-th of evaluation index is defined as:
Wherein Hj represents the entropy of j-th of evaluation index, and calculation formula is
Step 4:The weights of binding hierarchy analytic approach and E-government Network calculate comprehensive weight;
The step 4 carries out combination weights using multiplicative synthesis method to index, and calculation formula is:
Step 5:Power quality controlling schemes synthesis efficiency is assessed based on Grey Incidence;
The step 5 includes:
Step 5-1:Development of judgment matrix.Define the degree of association and judge judgment matrix R(m+1)×n, assessed according to resolution Index determine ideal indicator to Ro=(r01 r02…r0n), the integrated decision-making for carrying out multiple target is to compare in m scheme n The degree of association of element and ideal indicator vector, then grey relational grade judgment matrix can be obtained:
Step 5-2:Calculate i-th of scheme and grey incidence coefficient of the ideal scheme on j-th of index.
Wherein, ρ is resolution ratio, usually takes 0.5.
Step 5-3:Calculating correlation.Define riFor evaluation scheme and the degree of association of ideal indicator scheme.
Step 5-4:Compared according to the numerical value of the degree of association, analyze the quality of resolution to be assessed;
By implementing above step, power quality controlling schemes synthesis evaluation index system is established, strong with reference to subjectivity Analytic hierarchy process (AHP) carries out evaluation index combination weights with the strong entropy weight analysis method of objectivity, then is realized and treated by Grey Incidence Assessment system carries out Scientific evaluation.

Claims (5)

  1. A kind of 1. comprehensive estimation method of power quality controlling scheme, it is characterised in that:The system comprises following steps:
    Step 1:Power quality controlling schemes synthesis evaluation index system is established, the index system includes:Power quality controlling The adaptation of the technical evaluation index of scheme, the economic evaluation index, power quality controlling scheme of power quality controlling scheme Property evaluation index;
    The technical evaluation index of the power quality controlling scheme includes:Percent harmonic distortion, voltage deviation, three-phase imbalance Degree, voltage fluctuation, line loss per unit;
    The economic evaluation index of the power quality controlling scheme includes:Equipment cost, year operation and maintenance cost;
    The adaptability teaching index of the power quality controlling scheme includes:Floor space;
    Step 2:With reference to expert opinion, according to the weight of each index of analytic hierarchy process (AHP) calculating;
    Step 3:The weight of each index is calculated according to E-government Network;
    Step 4:The weights of binding hierarchy analytic approach and E-government Network calculate comprehensive weight;
    Step 5:Power quality controlling schemes synthesis efficiency is assessed based on Grey Incidence.
  2. 2. the comprehensive estimation method of power quality controlling scheme according to claim 1, it is characterised in that:The step 2 Including:
    Step 2-1:Construction contrast matrix, wherein n is index quantity
    Step 2-2:Consistency check is carried out to matrix
    Calculate the Maximum characteristic root λ max of contrast matrix and to answered feature vector ξ, uniformity is carried out according to coincident indicator To examine, consistency check is determined by calculating consistency ration CR, if CR < 0.1, which are matrix, meets coherence request, Then feature vector (after normalization) weight vector the most determined by analytic hierarchy process (AHP);Reconfigured if it can't pass to comparing battle array. Wherein,
    Each index weights determined by analytic hierarchy process (AHP) are
    A=(aj)1×nmax
  3. 3. the comprehensive estimation method of power quality controlling scheme according to claim 1, it is characterised in that:The step 3 In, it is characterised in that:The step 3 includes:
    Step 3-1:The standardization of data.Each evaluation index original data are standardized, it is assumed that there is n assessment to refer to Mark, m assessment system, raw data matrix are
    Yij=(yij)m×n
    New evaluations matrix is obtained after standardization
    Fij=(fij)m×n
    Wherein
    Step 3-2:Calculate the entropy weight of each evaluation index.The entropy weight of j-th of evaluation index is defined as:
    Wherein Hj represents the entropy of j-th of evaluation index, and calculation formula is
  4. 4. the comprehensive estimation method of power quality controlling scheme according to claim 1, it is characterised in that:The step 4 In, it is characterised in that:The step 4 carries out combination weights using multiplicative synthesis method to index, and calculation formula is:
  5. 5. the comprehensive estimation method of power quality controlling scheme according to claim 1, it is characterised in that:The step 5 In, it is characterised in that:The step 5 includes:
    Step 5-1:Development of judgment matrix.Define the degree of association and judge judgment matrix R(m+1)×n, according to the finger assessed resolution Mark determines ideal indicator to Ro=(r01 r02 … r0n), the integrated decision-making for carrying out multiple target is to compare n member in m scheme The degree of association of element and ideal indicator vector, then grey relational grade judgment matrix can be obtained:
    Step 5-2:Calculate i-th of scheme and grey incidence coefficient of the ideal scheme on j-th of index.
    Wherein, ρ is resolution ratio, usually takes 0.5
    Step 5-3:Calculating correlation.Define riFor evaluation scheme and the degree of association of ideal indicator scheme;
    Step 5-4:Compared according to the numerical value of the degree of association, analyze the quality of resolution to be assessed.
CN201610971965.4A 2016-10-28 2016-10-28 A kind of comprehensive estimation method of power quality controlling scheme Pending CN108009697A (en)

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108898890A (en) * 2018-08-29 2018-11-27 中国民用航空总局第二研究所 Blank pipe operational efficiency grade appraisal procedure and its device
CN109284936A (en) * 2018-10-11 2019-01-29 国网湖北省电力有限公司电力科学研究院 A kind of electricity quality evaluation method based on the output of cloud graph visualization
CN109307854A (en) * 2018-10-29 2019-02-05 中国电力科学研究院有限公司 A kind of electric energy metering device comprehensive estimation method and system
CN110474342A (en) * 2019-09-25 2019-11-19 国网青海省电力公司海西供电公司 A kind of method that disturbance regulation effect assessment models building temporarily drops in distribution network voltage
CN111191907A (en) * 2019-12-24 2020-05-22 嘉兴恒创电力设计研究院有限公司 Comprehensive energy station energy efficiency evaluation method based on analytic hierarchy process
CN111241664A (en) * 2020-01-03 2020-06-05 深圳供电局有限公司 Distribution transformer area voltage problem treatment scheme evaluation method
CN111489040A (en) * 2020-04-22 2020-08-04 云南电网有限责任公司 Voltage sequence comprehensive evaluation method based on optimal combination weighting
CN111931342A (en) * 2020-07-08 2020-11-13 贵州电网有限责任公司 Method for evaluating extra line loss caused by station area power quality
CN112465324A (en) * 2020-11-19 2021-03-09 南京电力设计研究院有限公司 Subway resource sharing-based electric energy quality evaluation system and method for subway power supply system
CN113065730A (en) * 2020-09-17 2021-07-02 国网浙江省电力有限公司金华供电公司 Power quality governance device based on distribution transformer area historical data

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108898890A (en) * 2018-08-29 2018-11-27 中国民用航空总局第二研究所 Blank pipe operational efficiency grade appraisal procedure and its device
CN109284936A (en) * 2018-10-11 2019-01-29 国网湖北省电力有限公司电力科学研究院 A kind of electricity quality evaluation method based on the output of cloud graph visualization
CN109284936B (en) * 2018-10-11 2022-02-08 国网湖北省电力有限公司电力科学研究院 Power quality evaluation method based on cloud image visual output
CN109307854A (en) * 2018-10-29 2019-02-05 中国电力科学研究院有限公司 A kind of electric energy metering device comprehensive estimation method and system
CN110474342B (en) * 2019-09-25 2021-11-05 国网青海省电力公司海西供电公司 Method for constructing power distribution network voltage sag disturbance treatment effect evaluation model
CN110474342A (en) * 2019-09-25 2019-11-19 国网青海省电力公司海西供电公司 A kind of method that disturbance regulation effect assessment models building temporarily drops in distribution network voltage
CN111191907A (en) * 2019-12-24 2020-05-22 嘉兴恒创电力设计研究院有限公司 Comprehensive energy station energy efficiency evaluation method based on analytic hierarchy process
CN111241664A (en) * 2020-01-03 2020-06-05 深圳供电局有限公司 Distribution transformer area voltage problem treatment scheme evaluation method
CN111241664B (en) * 2020-01-03 2023-09-05 深圳供电局有限公司 Evaluation method for voltage problem management scheme of distribution transformer area
CN111489040A (en) * 2020-04-22 2020-08-04 云南电网有限责任公司 Voltage sequence comprehensive evaluation method based on optimal combination weighting
CN111489040B (en) * 2020-04-22 2022-03-25 云南电网有限责任公司 Voltage sequence comprehensive evaluation method based on optimal combination weighting
CN111931342A (en) * 2020-07-08 2020-11-13 贵州电网有限责任公司 Method for evaluating extra line loss caused by station area power quality
CN113065730A (en) * 2020-09-17 2021-07-02 国网浙江省电力有限公司金华供电公司 Power quality governance device based on distribution transformer area historical data
CN112465324A (en) * 2020-11-19 2021-03-09 南京电力设计研究院有限公司 Subway resource sharing-based electric energy quality evaluation system and method for subway power supply system

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Application publication date: 20180508