CN108108923A - Based on multi-level power transmission engineering method of post project evaluation - Google Patents
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Abstract
The invention discloses belong to a kind of based on multi-level power transmission engineering method of post project evaluation of wind-powered electricity generation conveying technology field, its main feature is that, it includes defining evaluation points fuzzy set U, establishes Comment gathers V, determines weight sets W, obtaining comprehensive evaluation result B, it can be from key point that is multi-level, multi-faceted, depicting power transmission engineering project performance and benefit with multi-angle, and accurate evaluation is objectively given, for improving, Electricity Investment person improves decision-making and management level is of great significance to.It is reasonable with methodological science, the advantages that strong applicability, accuracy rate is high, and effect is good.
Description
Technical field
It is particularly a kind of based on multi-level power transmission engineering post project evaluation side the present invention relates to wind-powered electricity generation conveying technology field
Method.
Background technology
With the development of China's science and technology, economic revival and the improvement of people's living standards, using electrical equipment quantity not
Breaking is increasing, and power consumption is caused to increase considerably.In order to avoid a large amount of wastes of China's electric power resources in the West and solution east
Electric power resource it is serious in short supply, country implements macro adjustments and controls to electric power, and it is big to have carried out transferring electricity from the west to the east, the national network of north and south supply mutually
Type power transmission engineering, this will increase the dynamics of investment of power grid architecture construction.The productive power of every profession and trade and the electricity consumption of resident living are born
Lotus just increases in Fast Persistence so that existing transmission line structure weak link gradually displays, and transforms or creates and is defeated
Electric channel is very urgent.Due to the large scale investment of power transmission engineering project, the extensive of wind-powered electricity generation conveying engineering will necessarily be caused to build
If.In order to ensure the promotion of project investment benefit and fully understand the difference of project reality and expected situation, work of transmitting electricity
Journey project is badly in need of carry out science and effective Post-assessment Method.
Power transmission engineering post project evaluation usually evaluates project implementation process after projects terminate,
Retrospective review is carried out to ambient enviroment and other other influences to the project, so that it is determined that Project Technical, economy, environment and
Social indicator finds out difference with index of correlation during project decision, and analyzes reason, summarizes relevant experiences and lessons, and proposes one
A little countermeasures and suggestion.
In the prior art, power transmission engineering project is often evaluated using subjective estimate method or objective evaluation, but not
By being subjective estimate method or objective evaluation, evaluation accuracy rate is relatively low, it is impossible to science and really reflect power transmission engineering
The actual conditions of project, there is electric power resource waste is big, conveying electricity is of high cost, and the deficiencies of be unfavorable for electric power macro adjustments and controls.
The content of the invention
The object of the present invention is to overcome the deficiencies of the prior art and provide a kind of scientific and reasonable, strong applicability, accuracy rate is high,
Effect is good based on multi-level power transmission engineering method of post project evaluation.
The purpose of the present invention is what is realized by following technical scheme：It is a kind of based on being commented after multi-level power transmission engineering project
Valency method, it is characterized in that, it comprises the following steps：.
1) evaluation points fuzzy set U is defined：
U={ u1,u2,...,un} (1)
In formula, u evaluation points collection, u1,u2,…,unFor from 1 to n evaluation points；
2) Comment gathers V is established：
V={ v1,v2,...,vn} (2)
In formula, v be comment factor set, v1,v2,…,vnFor from 1 to n comment factor, then fuzzy matrix R is evaluation square
Battle array, such as formula (3),
In formula, Ri=(ri1,ri2,…,rim), (i=1,2 ..., n), RiIt represents compared with factor of evaluation uiFactor i
Unidirectional fuzzy evaluation value, rijFor uiA factor of evaluation is under the jurisdiction of comment vjDegree of membership；
3) weight sets W is determined：
W represents weight set as the fuzzy subset on factor U, primarily to reflect each factor of evaluation significance level or
Person is grade, and then represents influence degree of each factor to total effect,
∑Wi=1 (4)
In formula, WiFor factor of evaluation uiWeights；
4) comprehensive evaluation result B is obtained：
The weight vectors W of factor of evaluation with fuzzy evaluating matrix R is multiplied, overall merit knot is obtained after carrying out fuzzy operation
The matrix B of fruit,
The present invention's is a kind of based on multi-level power transmission engineering method of post project evaluation, first using multi-level evaluation index
System carrys out assessment item content, wherein " multi-level " include project overall evaluation index system and menu link evaluation index body
System；Then, employ multilayer fuzzy comprehensive appraisal to evaluate project, form the evaluation criterion of standardization；From multilayer
Key point that is secondary, multi-faceted, depicting power transmission engineering project performance and benefit with multi-angle, and objectively give more accurately
Evaluation, improve decision-making and management level for improving Electricity Investment person and be of great significance to.It is closed with methodological science
The advantages that reason, strong applicability, accuracy rate is high, and effect is good.
Description of the drawings
Fig. 1 is based on multi-level power transmission engineering post project evaluation index system general levels structure diagram；
Fig. 2 is based on multi-level power transmission engineering method of post project evaluation flow chart；
Specific embodiment
Below with drawings and examples to a kind of based on multi-level power transmission engineering method of post project evaluation of the present invention
It is described further.
It is as shown in Figure 1 based on multi-level power transmission engineering post project evaluation index system general levels structure；Based on multilayer
Secondary power transmission engineering method of post project evaluation flow is as shown in Figure 2.
Now assessment indicator system is described in detail by taking certain power transmission engineering project as an example.One kind of the present invention is based on multilayer
Secondary power transmission engineering method of post project evaluation, including herein below：
.1 evaluation points fuzzy set U) is defined：
U={ u1,u2,...,un} (1)
In formula, u evaluation points collection, u1,u2,…,unFor from 1 to n evaluation points；
It is counted by the degree of membership of expert's index comment, generally determines evaluation by setting five ranks on Comment gathers
Standard membership grade sets U：u1=1, u2=0.8, u3=0.6, u4=0.4, u5=0,1 to 5 evaluation points
U={ 1,0.8,0.6,0.4,0 } (1)
In formula, u1、u2、u3、u4、u5To represent to feel quite pleased respectively from 1 to 5 evaluation points, being satisfied with, it is relatively satisfactory, general, no
It is satisfied.
Meanwhile Comment gathers V can be obtained by statistics：
V={ v1,v2,v3,v4,v5} (2)
In formula, v1、v2、v3、v4、v5For from 1 to 5 evaluation points；Respectively represent feel quite pleased, be satisfied with, is relatively satisfactory, is general,
It is dissatisfied.
Selection has authoritative expert and carries out questionnaire, with reference to Delphi methods and combines comment standard, has expert to each
Factor index is evaluated, and based on the investigation questionnaire that expert fills in, each single factor test index degree of membership is carried out using equation below
It calculates.
In formula, rijFor factor ui, i.e. vjSubjection degree, mijFor single factor test ui, i.e. vjEffective test paper number, n is effectively total
Test paper number.
It is obtained according to formula (3) in indicator layer, the degree of membership of all single indexs, and drawing of the integration project to local economy
Exemplified by dynamic, listed items are constructed and implemented, financial benefit, operation of power networks are influenced and to being commented after four aspects of Effects of Regional Economy
Valency.
Fuzzy statistics analysis is increased based on regional economy, it is assumed that n target of investication and study, wherein n1A Object Selection is " very full
Meaning ", n2A Object Selection " satisfaction ", n3A Object Selection " relatively satisfactory ", n4A Object Selection " general ", n5A object
It has selected " to be unsatisfied with ", the degree of membership of 5 evaluation approach of Comment gathers V is followed successively by n1/n、n2/n、n3/n、n4/n、n5/n。
Certain power transmission engineering synthetic evaluation of projects index comment investigation result is as shown in table 1, and the reference of specific data is as follows：
1 expert's comment index degree of membership statistical form of table
| Feel quite pleased | It is satisfied | It is relatively satisfactory | Generally | It is dissatisfied | |
| Process of Engineering Construction | 0.1 | 0.5 | 0.3 | 0.1 | 0 |
| Engineering impact on environment | 0 | 0.4 | 0.6 | 0 | 0 |
| The internal rate of return (IRR) | 0 | 0.5 | 0.3 | 0.2 | 0 |
| Financial net present value | 0 | 0.5 | 0.3 | 0.2 | 0 |
| Profit-investment ratio | 0.1 | 0.5 | 0.4 | 0 | 0 |
| Investment payback time | 0 | 0.5 | 0.4 | 0.1 | 0 |
| Electric network security | 0.2 | 0.7 | 0.1 | 0 | 0 |
| Power supply capacity | 0.1 | 0.6 | 0.3 | 0 | 0 |
| Quality of voltage | 0.2 | 0.5 | 0.3 | 0 | 0 |
| Power supply reliability | 0.2 | 0.4 | 0.4 | 0 | 0 |
| Line loss per unit | 0.1 | 0.6 | 0.2 | 0.1 | 0 |
| It boosts economic growth | 0.2 | 0.5 | 0.3 | 0 | 0 |
| Promote structural adjustment | 0.1 | 0.5 | 0.4 | 0 | 0 |
| It optimizes allocation of resources | 0.1 | 0.4 | 0.5 | 0 | 0 |
| It improves the investment climate | 0 | 0.6 | 0.3 | 0.1 | 0 |
Then the fuzzy evaluating matrix of These parameters is：
Respectively data craft to each factor of rule layer with and the opposite criterion value of indicator layer importance investigation, it is definite respectively
The weight of index.Using the weight vectors factor of eigenvalue method calculation criterion layer, then parameter layer is for the power of rule layer
Weight vector, then with indicator layer weight vectors and corresponding rule layer multiplied by weight, so as to obtain indicator layer to the comprehensive of destination layer
Close weight W.
The corresponding weighted value of ten five indices is as shown in table 2：
2 index comprehensive weight table of table
| Index | Weight |
| Process of Engineering Construction | 0.04653 |
| Engineering impact on environment | 0.04248 |
| The internal rate of return (IRR) | 0.07435 |
| Financial net present value | 0.07436 |
| Profit-investment ratio | 0.02469 |
| Investment payback time | 0.05243 |
| Electric network security | 0.11335 |
| Power supply capacity | 0.08721 |
| Quality of voltage | 0.05006 |
| Power supply reliability | 0.09114 |
| Line loss per unit | 0.06757 |
| It boosts economic growth | 0.10511 |
| Promote structural adjustment | 0.08024 |
| It optimizes allocation of resources | 0.05376 |
| It improves the investment climate | 0.03671 |
Finally, the weight vectors of evaluation index and fuzzy evaluating matrix are subjected to fuzzy operation, so as to calculate the transmission of electricity work
Journey item purpose comprehensive evaluation result, computational methods are：
B=WR=(0.1081 0.5231 0.3512 0.3296 0) (5)
Calculated with the computational methods obtain the comprehensive evaluation result of the project for (0.1081,0.5231,0.3512,0.3296,
0), it can be seen that：Expert thinks that project comprehensive benefit " feeling quite pleased " only accounts for 10.81%, and " satisfaction " is 52.31%, and
And its comprehensive benefit of wherein 35.12% expert opinion is " relatively satisfactory ", and thinking the expert of project comprehensive benefit " general " has
32.96%.Meanwhile do not occur unsatisfied evaluation during overall assessment.
In conclusion present invention pass that is multi-level, multi-faceted, depicting power transmission engineering project performance and benefit with multi-angle
Where key, and objectively give accurate evaluation.
Claims (1)
1. it is a kind of based on multi-level power transmission engineering method of post project evaluation, it is characterized in that, it comprises the following steps：
1) evaluation points fuzzy set U is defined：
U={ u1,u2,...,un} (1)
In formula, u evaluation points collection, u1,u2,…,unFor from 1 to n evaluation points；
2) Comment gathers V is established：
V={ v1,v2,...,vn} (2)
In formula, v be comment factor set, v1,v2,…,v nFor from 1 to n comment factor, then fuzzy matrix R is evaluations matrix, such as
Formula (3),
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In formula, Ri=(ri1,ri2,…,rim), (i=1,2 ..., n), RiIt represents compared with factor of evaluation uiFactor i it is unidirectional
Fuzzy evaluation value, rijFor uiA factor of evaluation is under the jurisdiction of comment vjDegree of membership；
3) weight sets W is determined：
W represents weight set as the fuzzy subset on factor U, primarily to reflecting the significance level of each factor of evaluation either
Grade, and then influence degree of each factor to total effect is represented,
∑Wi=1 (4)
In formula, WiFor factor of evaluation uiWeights；
4) comprehensive evaluation result B is obtained：
The weight vectors W of factor of evaluation with fuzzy evaluating matrix R is multiplied, comprehensive evaluation result is obtained after carrying out fuzzy operation
Matrix B,
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| CN110110989A (en) * | 2019-04-29 | 2019-08-09 | 国网河北省电力有限公司经济技术研究院 | The evaluation method and terminal device of the anti-bird effect of overhead transmission line |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102235893A (en) * | 2010-04-29 | 2011-11-09 | 华北电力科学研究院有限责任公司 | Air quantity measuring method and device |
| CN102400902A (en) * | 2010-09-15 | 2012-04-04 | 中国石油天然气股份有限公司 | Method for evaluating reliability of performance state of reciprocating compressor |
| CN103761690A (en) * | 2014-02-14 | 2014-04-30 | 国家电网公司 | Evaluation method based on voltage reactive power control system in grid system |
| CN104715163A (en) * | 2015-04-10 | 2015-06-17 | 中国石油大学(华东) | Risk assessment method for underground oil and gas pipeline |
| CN105608542A (en) * | 2016-03-15 | 2016-05-25 | 国网山东省电力公司经济技术研究院 | Multi-level fuzzy comprehensive evaluation method for electric power engineering project |
-
2018
- 2018-02-05 CN CN201810109096.3A patent/CN108108923A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102235893A (en) * | 2010-04-29 | 2011-11-09 | 华北电力科学研究院有限责任公司 | Air quantity measuring method and device |
| CN102400902A (en) * | 2010-09-15 | 2012-04-04 | 中国石油天然气股份有限公司 | Method for evaluating reliability of performance state of reciprocating compressor |
| CN103761690A (en) * | 2014-02-14 | 2014-04-30 | 国家电网公司 | Evaluation method based on voltage reactive power control system in grid system |
| CN104715163A (en) * | 2015-04-10 | 2015-06-17 | 中国石油大学(华东) | Risk assessment method for underground oil and gas pipeline |
| CN105608542A (en) * | 2016-03-15 | 2016-05-25 | 国网山东省电力公司经济技术研究院 | Multi-level fuzzy comprehensive evaluation method for electric power engineering project |
Non-Patent Citations (1)
| Title |
|---|
| 贺明军 等: "基于层次分析法的输变电工程模糊综合评价方法探析", 《电力技术经济》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110110989A (en) * | 2019-04-29 | 2019-08-09 | 国网河北省电力有限公司经济技术研究院 | The evaluation method and terminal device of the anti-bird effect of overhead transmission line |
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