CN105184397A - Electric power replacement effect evaluation method based on analytic hierarchy process and fuzzy comprehensive evaluation - Google Patents
Electric power replacement effect evaluation method based on analytic hierarchy process and fuzzy comprehensive evaluation Download PDFInfo
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- CN105184397A CN105184397A CN201510533217.3A CN201510533217A CN105184397A CN 105184397 A CN105184397 A CN 105184397A CN 201510533217 A CN201510533217 A CN 201510533217A CN 105184397 A CN105184397 A CN 105184397A
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Abstract
The invention discloses an electric power replacement effect evaluation method based on analytic hierarchy process and fuzzy comprehensive evaluation. The method is characterized by comprising the following steps of step SS1, establishing an electric power replacement social benefit evaluation index system; step SS2, determining an evaluation factor set U and a remark set V; step SS3, determining the weight W of each evaluation index ui through the analytic hierarchy process; step SS4, determining the membership pf each evaluation index to construct a fuzzy evaluation matrix R; step SS5, conducting the fuzzy composition to obtain a fuzzy comprehensive evaluation result. According to the technical scheme of the invention, by adopting the electric power replacement effect evaluation method, the comprehensive evaluation on the electric power replacement social benefit can be realized. Therefore, the advantages and the disadvantages of electric power replacement projects can be comprehensively evaluated, so that the method provides a theoretical basis for the development of electric power replacement.
Description
Technical field
The present invention relates to the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation, belong to electric energy substitute technology field.
Background technology
In electric energy alternative aspect, the developed country such as American-European-Japanese starts research and development and the popularization of electric automobile the seventies as far back as eighties of last century, successively develop pure electric automobile, fuel cell and mixed power electric car.Further, government gives corresponding economic support and corresponding policy favour.On August 15th, 2013, State Grid Corporation of China prints and distributes electric energy alternate embodiment, starts electric energy comprehensively substitute work in company management region.Constituent parts belonging to protocols call company gives full play to the advantages such as electric energy is convenient, safe, clean, efficient, terminaloriented domestic market of energy consumption, actively advocate the energy-consuming new model of " using electricity instead of coal, replacing oil by electricity, electricity come from a distant place ", advance social energy conservation to reduce discharging, crack a city haze difficult problem.Subordinate Ge Wangsheng company of Guo Wang company has started the expansion that allround promotion electric energy substitutes work.
At present, electric energy is all carry out economic benefit and assessment on environmental benefits to electric energy replacement scheme substantially in substituting and evaluating, and does not have quantitatively or substitute social benefit to electric energy qualitatively evaluate and provide evaluation conclusion.
Summary of the invention
The object of the invention is to overcome the deficiency that prior art exists, propose a kind of electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation, solve the feasibility of electric energy replacement scheme.
The present invention adopts following technical scheme: based on the electric energy supersedure effect evaluation method of step analysis and fuzzy overall evaluation, it is characterized in that, specifically comprise the steps:
Step SS1 sets up electric energy and substitutes evaluation on social benefits index system;
Step SS2 determines factor of evaluation collection U and Comment gathers V;
Step SS3 analytical hierarchy process determines each factor of evaluation u
iweights W;
Step SS4 determines the degree of membership of each factor of evaluation, builds fuzzy evaluating matrix R;
Step SS5 carries out fuzzy composition, obtains fuzzy overall evaluation result.
Preferably, described step SS1 comprises: the object that described electric energy substitutes evaluation on social benefits index system comprises natural environment influence layer, socioeconomic impact layer, social environment influence's layer; The factor of evaluation of described natural environment influence layer comprises raising natural resource utilizing benefit, reduces environmental pollution; The factor of evaluation of described socioeconomic impact layer comprises drive related industry, land increment benefit, improves energy consumption structure; The factor of evaluation of described social environment influence layer comprises industry comprehensive benefit, promotes social employment.
Preferably, described step SS2 specifically comprises:
Step SS21 determines factor of evaluation collection U and the Comment gathers V of sub-goal layer;
Step SS22 determines factor of evaluation collection U and the Comment gathers V of general objective layer.
Preferably, the object that described step SS21 comprises electric energy described in each substitutes evaluation on social benefits index system sets up object set, then according to described object set determination factor of evaluation collection U and Comment gathers V; Specifically comprise:
For object set { natural environment influence layer },
Factor of evaluation collection U
1={ u
11, u
12}={ improves natural resource utilizing benefit, reduces environmental pollution };
Comment gathers V
1={ v
11, v
12, v
13, v
14, v
15}={ is large, more greatly, generally, less, little };
For object set { socioeconomic impact layer },
Factor of evaluation collection U
2={ u
21, u
22, u
23}={ drives related industry, and land increment benefit, improves energy consumption structure };
Comment gathers V
2={ v
21, v
22, v
23, v
24, v
25}={ is large, more greatly, generally, less, little };
For object set { social environment influence's layer },
Factor of evaluation collection U
3={ u
31, u
32}={ industry comprehensive benefit, promote social employment;
Comment gathers V
3={ v
31, v
32, v
33, v
34, v
35}={ is large, more greatly, generally, less, little }.
Preferably, described step SS22 specifically comprises:
For object set { electric energy substitutes social benefit },
Factor of evaluation collection U={u
1, u
2}={ natural environment influence layer, socioeconomic impact layer, social environment influence's layer };
Comment gathers V={v
1, v
2, v
3, v
4, v
5}={ is large, more greatly, generally, less, little }.
Preferably, described step SS3 specifically comprises: according to expert estimation result, obtains the judgment matrix of sub-goal layer and general objective layer; Judgment matrix is normalized, calculates each factor of evaluation u
iweights W.
Preferably, described step SS4 specifically comprises: first, and each expert makes accurate judgement to evaluation index, and evaluation result evaluates the element V concentrated
j; Then, add up:
wherein, n is the number participating in the expert evaluated, m
iju
iobtain V
jthe number of times evaluated; Finally, single factor test fuzzy evaluating matrix R is obtained
i=(r
i1, r
i2, L, r
i5).
Preferably, described step SS5 specifically comprises: the weights W of the index determined according to each several part above and fuzzy evaluating matrix R, selects blurring mapping *, W and R is carried out fuzzy composition and obtain comprehensive evaluation vector B, B=W*R=(b
1, b
2..., b
n).
Preferably, described step SS5 also comprises: first calculate secondary (sub-goal layer) evaluation result, obtain B
1, B
2, B
3; Secondly, using two-level appraisement result as one-level (general objective layer) Evaluations matrix, R is designated as, R=(B
1, B
2, B
3); Then in conjunction with weights W, final appraisal results B is calculated; Finally combine according to maximum membership grade principle, select evaluation approach corresponding to maximum bi as comprehensive evaluation result.
The beneficial effect that the present invention reaches: the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation that the present invention proposes, achieve and social benefit is substituted to electric energy carry out comprehensive evaluation, can thoroughly evaluating electric energy alternatives object good and bad, for carrying out of substituting of electric energy provides theoretical foundation.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation of the present invention.
Fig. 2 is the schematic diagram that electric energy of the present invention substitutes evaluation on social benefits index system.
Embodiment
Below in conjunction with accompanying drawing, the invention will be further described.Following examples only for technical scheme of the present invention is clearly described, and can not limit the scope of the invention with this.
Fig. 1 is the process flow diagram of the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation of the present invention, and the present invention proposes to comprise the steps: based on the electric energy supersedure effect evaluation method of step analysis and fuzzy overall evaluation
Step SS1 sets up electric energy and substitutes evaluation on social benefits index system figure, and Fig. 2 is the schematic diagram that electric energy of the present invention substitutes evaluation on social benefits index system;
Step SS2 determines factor of evaluation collection U and Comment gathers V;
Step SS3 analytical hierarchy process determines each factor of evaluation u
iweights W;
Step SS4 determines the degree of membership of each factor of evaluation, builds fuzzy evaluating matrix R;
Step SS5 carries out fuzzy composition, obtains fuzzy overall evaluation result.
Carry out separately concrete elaboration below: step SS1 sets up electric energy and substitutes evaluation on social benefits index system; The object that described electric energy substitutes evaluation on social benefits index system comprises natural environment influence layer, socioeconomic impact layer, social environment influence's layer; The factor of evaluation of described natural environment influence layer comprises raising natural resource utilizing benefit, reduces environmental pollution; The factor of evaluation of described socioeconomic impact layer comprises drive related industry, land increment benefit, improves energy consumption structure; The factor of evaluation of described social environment influence layer comprises industry comprehensive benefit, promotes social employment.
Step SS2 determines factor of evaluation collection U and Comment gathers V; Specifically comprise 2 steps.
Step SS21 determines factor of evaluation collection U and the Comment gathers V of sub-goal layer; The object comprised electric energy described in each substitutes evaluation on social benefits index system sets up object set, then according to described object set determination factor of evaluation collection U and Comment gathers V; Described step SS21 for object set { natural environment influence layer },
Factor of evaluation collection U
1={ u
11, u
12}={ improves natural resource utilizing benefit, reduces environmental pollution };
Comment gathers V
1={ v
11, v
12, v
13, v
14, v
15}={ is large, more greatly, generally, less, little };
For object set { socioeconomic impact layer },
Factor of evaluation collection U
2={ u
21, u
22, u
23}={ drives related industry, and land increment benefit, improves energy consumption structure, the impact on local resident's living standard };
Comment gathers V
2={ v
21, v
22, v
23, v
24, v
25}={ is large, more greatly, generally, less, little };
For object set { social environment influence's layer },
Factor of evaluation collection U
3={ u
31, u
32}={ industry comprehensive benefit, promote social employment;
Comment gathers V
3={ v
31, v
32, v
33, v
34, v
35}={ is large, more greatly, generally, less, little }.
Step SS22 determines factor of evaluation collection U and the Comment gathers V of general objective layer; Specifically comprise:
For object set { electric energy substitutes social benefit },
Factor of evaluation collection U={u
1, u
2}={ natural environment influence layer, socioeconomic impact layer, social environment influence's layer };
Comment gathers V={v
1, v
2, v
3, v
4, v
5}={ is large, more greatly, generally, less, little }.
Step SS3 analytical hierarchy process determines each factor of evaluation u
iweights W; Specifically comprise following 2 steps.
First, according to expert estimation result, obtain the judgment matrix of sub-goal layer and general objective layer; Carry out paired to the importance of each index of same level is compared between two, makes the judgement of relative importance, these judgements with numeric representation out, and the estimated value of i-th index to the relative importance of a jth index is denoted as a
ij, write as matrix form, obtained judgment matrix A:
In order to quantize judgment matrix, adopt 1 ~ 9 scaling law.
Secondly, judgment matrix is normalized, calculates each factor of evaluation u
iweights W.Maximum characteristic root and character pair vector are calculated to judgment matrix, utilizes coincident indicator, random index and Consistency Ratio to do consistency check.If upcheck, proper vector is each index weights vector; If do not pass through, judgment matrix need be re-constructed.
Step SS4 determines the degree of membership of each factor of evaluation, builds fuzzy evaluating matrix R; Specifically comprise: first, each expert makes smart m to evaluation index and really judges, evaluation result evaluates the element V concentrated
j; Then, add up:
wherein, n is the number participating in the expert evaluated, m
iju
iobtain V
jthe number of times evaluated; Finally, single factor test fuzzy evaluating matrix R is obtained
i=(r
i1, r
i2, L, r
i5).
Step SS5 carries out fuzzy composition, obtains fuzzy overall evaluation result; Specifically comprise: the weights W of the index determined according to each several part above and fuzzy evaluating matrix R, select blurring mapping *, W and R is carried out fuzzy composition and obtain comprehensive evaluation vector B, B=W*R=(b
1, b
2..., b
n).
Step SS5 also comprises: first calculate secondary (sub-goal layer) evaluation result, obtain B
1, B
2, B
3; Secondly, using two-level appraisement result as one-level (general objective layer) Evaluations matrix, R is designated as, R=(B
1, B
2, B
3); Then in conjunction with weights W, final appraisal results B is calculated; Finally combine according to maximum membership grade principle, select evaluation approach corresponding to maximum bi as comprehensive evaluation result.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from the technology of the present invention principle; can also make some improvement and distortion, these improve and distortion also should be considered as protection scope of the present invention.
Claims (9)
1., based on the electric energy supersedure effect evaluation method of step analysis and fuzzy overall evaluation, it is characterized in that, specifically comprise the steps:
Step SS1 sets up electric energy and substitutes evaluation on social benefits index system;
Step SS2 determines factor of evaluation collection U and Comment gathers V;
Step SS3 analytical hierarchy process determines each factor of evaluation u
iweights W;
Step SS4 determines the degree of membership of each factor of evaluation, builds fuzzy evaluating matrix R;
Step SS5 carries out fuzzy composition, obtains fuzzy overall evaluation result.
2. the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation according to claim 1, it is characterized in that, described step SS1 comprises: the object that described electric energy substitutes evaluation on social benefits index system comprises natural environment influence layer, socioeconomic impact layer, social environment influence's layer; The factor of evaluation of described natural environment influence layer comprises raising natural resource utilizing benefit, reduces environmental pollution; The factor of evaluation of described socioeconomic impact layer comprises drive related industry, land increment benefit, improves energy consumption structure; The factor of evaluation of described social environment influence layer comprises industry comprehensive benefit, promotes social employment.
3. the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation according to claim 1, it is characterized in that, described step SS2 specifically comprises:
Step SS21 determines factor of evaluation collection U and the Comment gathers V of sub-goal layer;
Step SS22 determines factor of evaluation collection U and the Comment gathers V of general objective layer.
4. the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation according to claim 3, it is characterized in that, the object that described step SS21 comprises electric energy described in each substitutes evaluation on social benefits index system sets up object set, then according to described object set determination factor of evaluation collection U and Comment gathers V; Specifically comprise:
For object set { natural environment influence layer },
Factor of evaluation collection U
1={ u
11, u
12}={ improves natural resource utilizing benefit, reduces environmental pollution };
Comment gathers V
1={ v
11, v
12, v
13, v
14, v
15}={ is large, more greatly, generally, less, little };
For object set { socioeconomic impact layer },
Factor of evaluation collection U
2={ u
21, u
22, u
23}={ drives related industry, and land increment benefit, improves energy consumption structure };
Comment gathers V
2={ v
21, v
22, v
23, v
24, v
25}={ is large, more greatly, generally, less, little };
For object set { social environment influence's layer },
Factor of evaluation collection U
3={ u
31, u
32}={ industry comprehensive benefit, promote social employment;
Comment gathers V
3={ v
31, v
32, v
33, v
34, v
35}={ is large, more greatly, generally, less, little }.
5. the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation according to claim 3, it is characterized in that, described step SS22 specifically comprises:
For object set { electric energy substitutes social benefit },
Factor of evaluation collection U={u
1, u
2}={ natural environment influence layer, socioeconomic impact layer, social environment influence's layer };
Comment gathers V={v
1, v
2, v
3, v
4, v
5}={ is large, more greatly, generally, less, little }.
6. the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation according to claim 1, it is characterized in that, described step SS3 specifically comprises: according to expert estimation result, obtains the judgment matrix of sub-goal layer and general objective layer; Judgment matrix is normalized, calculates each factor of evaluation u
iweights W.
7. the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation according to claim 1, it is characterized in that, described step SS4 specifically comprises: first, and each expert makes accurate judgement to evaluation index, and evaluation result evaluates the element V concentrated
j; Then, add up:
wherein, n is the number participating in the expert evaluated, m
iju
iobtain V
jthe number of times evaluated; Finally, single factor test fuzzy evaluating matrix R is obtained
i=(r
i1, r
i2, L, r
i5).
8. the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation according to claim 1, it is characterized in that, described step SS5 specifically comprises: the weights W of the index determined according to each several part above and fuzzy evaluating matrix R, select blurring mapping *, W and R is carried out fuzzy composition and obtain comprehensive evaluation vector B, B=W*R=(b
1, b
2..., b
n).
9. the electric energy supersedure effect evaluation method based on step analysis and fuzzy overall evaluation according to claim 8, it is characterized in that, described step SS5 also comprises: first calculate secondary (sub-goal layer) evaluation result, obtain B
1, B
2, B
3; Secondly, using two-level appraisement result as one-level (general objective layer) Evaluations matrix, R is designated as, R=(B
1, B
2, B
3); Then in conjunction with weights W, final appraisal results B is calculated; Finally combine according to maximum membership grade principle, select evaluation approach corresponding to maximum bi as comprehensive evaluation result.
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| CN105913327A (en) * | 2016-04-12 | 2016-08-31 | 中国农业大学 | Agricultural scientific and technical achievement level evaluation method and agricultural scientific and technical achievement level evaluation device |
| CN106056307A (en) * | 2016-06-14 | 2016-10-26 | 中国电力科学研究院 | Electric power replacement technology comprehensive benefit assessment method based on comprehensive weighting method |
| CN106570632A (en) * | 2016-10-28 | 2017-04-19 | 国网甘肃省电力公司电力科学研究院 | Mobile-terminal-based loss reduction and energy conservation analysis system for grid |
| CN108133427A (en) * | 2016-11-30 | 2018-06-08 | 山东省农业可持续发展研究所 | A kind of Shandong agricultural policy analysis and decision supports system |
| CN108305018A (en) * | 2018-03-16 | 2018-07-20 | 肖鑫茹 | A kind of accurate clean manufacturing benefit evaluation system of evaluation |
| CN108764659A (en) * | 2018-05-11 | 2018-11-06 | 贵州电网有限责任公司凯里供电局 | A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method |
| CN109146123A (en) * | 2018-06-29 | 2019-01-04 | 中国电力科学研究院有限公司 | A kind of multiple-energy-source comprehensive coordination effect evaluation method and system |
| CN109447454A (en) * | 2018-10-24 | 2019-03-08 | 黑龙江省科学院技术物理研究所 | 60Co- gamma-ray irradiation SPF ruminant feed injectivity optimizing method |
| CN110175731A (en) * | 2018-09-18 | 2019-08-27 | 交通运输部科学研究院 | A kind of influence evaluation method of road logistics |
| CN110646854A (en) * | 2019-09-24 | 2020-01-03 | 贵州顺康路桥咨询有限公司 | Tunnel comprehensive advanced geological prediction method and system based on fuzzy analytic hierarchy process |
| CN110852536A (en) * | 2018-07-25 | 2020-02-28 | 中国石油化工股份有限公司 | Storage tank maintenance decision determining method and device |
| CN113780773A (en) * | 2021-08-27 | 2021-12-10 | 上海大智慧信息科技有限公司 | Information service method and system about social emergency materials |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105913327A (en) * | 2016-04-12 | 2016-08-31 | 中国农业大学 | Agricultural scientific and technical achievement level evaluation method and agricultural scientific and technical achievement level evaluation device |
| CN106056307A (en) * | 2016-06-14 | 2016-10-26 | 中国电力科学研究院 | Electric power replacement technology comprehensive benefit assessment method based on comprehensive weighting method |
| CN106570632A (en) * | 2016-10-28 | 2017-04-19 | 国网甘肃省电力公司电力科学研究院 | Mobile-terminal-based loss reduction and energy conservation analysis system for grid |
| CN108133427A (en) * | 2016-11-30 | 2018-06-08 | 山东省农业可持续发展研究所 | A kind of Shandong agricultural policy analysis and decision supports system |
| CN108305018A (en) * | 2018-03-16 | 2018-07-20 | 肖鑫茹 | A kind of accurate clean manufacturing benefit evaluation system of evaluation |
| CN108764659A (en) * | 2018-05-11 | 2018-11-06 | 贵州电网有限责任公司凯里供电局 | A kind of distribution network reliability analysis of Influential Factors method based on Fuzzy Comprehensive Method |
| CN109146123A (en) * | 2018-06-29 | 2019-01-04 | 中国电力科学研究院有限公司 | A kind of multiple-energy-source comprehensive coordination effect evaluation method and system |
| CN110852536A (en) * | 2018-07-25 | 2020-02-28 | 中国石油化工股份有限公司 | Storage tank maintenance decision determining method and device |
| CN110175731A (en) * | 2018-09-18 | 2019-08-27 | 交通运输部科学研究院 | A kind of influence evaluation method of road logistics |
| CN109447454A (en) * | 2018-10-24 | 2019-03-08 | 黑龙江省科学院技术物理研究所 | 60Co- gamma-ray irradiation SPF ruminant feed injectivity optimizing method |
| CN110646854A (en) * | 2019-09-24 | 2020-01-03 | 贵州顺康路桥咨询有限公司 | Tunnel comprehensive advanced geological prediction method and system based on fuzzy analytic hierarchy process |
| CN113780773A (en) * | 2021-08-27 | 2021-12-10 | 上海大智慧信息科技有限公司 | Information service method and system about social emergency materials |
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