CN108932562A - Integrated energy system comprehensive benefit assessment model method for building up - Google Patents
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Abstract
The invention discloses integrated energy system comprehensive benefit assessment model method for building up, comprising: building index system: according to integrated energy system basic framework and operation mode essential characteristic, constructing System of Comprehensive Evaluation；Index calculating method: the index that index value is single fixed value is determined as Static State Index, index value changes at any time, the different index of value is determined as dynamic indicator in different time period；It is dynamic DEA model by traditional static DEA model refinement.
Description
Technical field
The present invention relates to integrated energy system planning construction technical field, in particular to integrated energy system comprehensive benefit is commented
Valence method for establishing model.
Background technique
In the preferred stage of integrated energy system operation mode, the comprehensive effect of different operation modes is portrayed by " efficiency "
Benefit obtains the efficiency of operation of different Management plans by solution and carries out showing that the region is carried out integrated energy system and built than choosing
If benefit is best, optimum operation mode, preferably provide reference for integrated energy system operation mode, program decisions.
At present in integrated energy system overall merit field, there is document to construct System of Comprehensive Evaluation, and
Give the computation model of Partial key index.There is not the synthesis of architectonical also in terms of integrated energy system Comprehensive Benefit Evaluation
Evaluation model and the side of integrated energy system comprehensive benefit are even more portrayed and evaluate to evaluation model not over efficiency of operation
Method." efficiency " word is generally used for the ratio of measurement system output and investment, by solving efficiency of operation come computing system project
Comprehensive benefit be scientific and reasonable.
Summary of the invention
To overcome problems of the prior art, the present invention provides a kind of integrated energy system Comprehensive Benefit Evaluation moulds
Type method for building up.
The technical scheme adopted by the invention to solve the technical problem is that: this kind of integrated energy system Comprehensive Benefit Evaluation mould
Type method for building up, comprising:
It constructs index system: according to integrated energy system basic framework and operation mode essential characteristic, constructing overall merit
Index system；
Index calculating method: the index that index value is single fixed value is determined as Static State Index, index value is at any time
Between change, the different index of value is determined as dynamic indicator in different time period；
Dynamic DEA model construction: based on three stage DEA models, for each decision package DMU, positive index
It is set as G, negative sense index is set as B；The vector of index is Hj=(h1j,h2j,...,hoj)T, the vector of positive index can be expressed as
Gj=(g1j,g2j,...,glj)T, the vector of negative sense index is Bj=(b1j,b2j,...,bwj)T, take Hj, GjAnd BjBoth greater than zero,
If the quantity of j is J, the quantity of o, l, w are O, L, W.
Further, building System of Comprehensive Evaluation is shown in Table 1:
1 assessment indicator system of table
Further, load proportion can be called: representing the specific gravity for accounting for whole loads for the load of calling, load can be called
Refer to and required according to system call, reduces load within the defined period with smooth peakload, or improve load level
To dissolve the load of clean energy resource；
Block load prediction accuracy rate: deep block is carried out to system and is segmented, when carrying out load prediction, to each
Load of the block in each period is predicted；The index value is that whole blocks predict quasi- in all period internal loadings
The average value of true rate；
Coupling transfer efficiency: refer to the transfer efficiency between the energy such as water in integrated energy system, electricity, heat, gas；
Autonomous device transmission and storage efficiency: the transmission that the energy deducts transmission loss for equipment in transmission process is represented
Storage efficiency during efficiency and energy stores, release；
Energy supply reliability: representing the index of systems stay power capability, is the extension of power supply reliability index,
Calculation method:
Wherein, SR is energy supply reliability, TSStop for user's energy that is averaged for time, TTFor the time during statistics.
Further, each hour value of the dynamic indicator in index calculating method is primary, according to a scheduling day 24
Hour calculates.
Further, the efficiency value of k-th of DMU can be obtained by following model solution:
First stage model:
minε (2)
λj>=0 (j=1 ..., J) (6)
λ is the efficiency value multiplier not segmented.
Further, second stage model is established on the basis of model in the first stage:
Second stage model:
minε (7)
λj>=0 (j=1 ..., J) (12)
Further, integration is optimized to second stage model, obtains phase III model；
Phase III model:
αo>=0 (o=1 ..., O) (16)
βl>=0 (l=1 ..., L) (17)
Wherein, formula (14) and (15) middle parameter alpha addedoWith βlAnd δwFor the efficiency value multiplier of different indexs；Pass through
Phase III model is solved, the required DMU efficiency value solved is obtained.
Further, if Xik,tIt indicates to be directed to i-th input pointer of k-th of DMU in time period t, Xik,t,gRefer to for forward direction
Mark, Xik,t,bFor negative sense index, Yrk,tFor r-th of output-index, Yrk,t,gFor positive index, Yrk,t,bFor negative sense index.Zfk,tTable
Show that k-th of DMU in the index value parameter of time period t, reflects index value and a upper period phase of the index in time period t
The variable quantity of ratio.If a total of T period, input pointer total m, output-index total n, index variable quantity total F, herein
It takes:
Then for k-th of DMU, there is the objective function of dynamic DEA model are as follows:
Constraint condition are as follows:
Wherein, ξi、ψrAnd ζfThe respectively efficiency value multiplier of input variable, output variable and variable quantity, requires ξ hereini
≥εk、ψr>=ε k, ζf>=ε k, formula (20) to (23) are the model of input pointer guiding, take output-index as the model of guiding
Are as follows:
Above-mentioned model can solve to obtain the efficiency value multiplier under dynamic condition, be set as ξ hereini,op、ψr,opAnd ζf,op, then needle
To j-th of DMU, in the efficiency of time period t are as follows:
Gross efficiency are as follows:
To sum up, the advantageous effects of the above technical solutions of the present invention are as follows:
This invention address that building is to solve integrated energy system efficiency of operation as the comprehensive evaluation model of core, analysis is total
The basic situation for tying integrated energy system operation analyzes (Data EnvelopmentAnalysis, DEA) to traditional data envelope
Model improves optimization, in the Management plan decision preferred stage, using analog simulation method to the reality of disparity items scheme
Operational effect carries out analog simulation, to obtain referring specifically to scale value, then substitutes into efficiency model solution and different item is calculated
The efficiency of operation of mesh scheme, efficiency of operation is higher, and person's comprehensive benefit is better, is carried out on this basis than choosing.
Conventional project scheme evaluation with than choosing, index value is largely definite value, however the present invention to be carried out
The object of overall merit is integrated energy system Management plan, and the specific data of Certain Evaluation Guideline are dynamic, variations, is taken
The index value of a certain particular point in time can not accurately reflect the implementation result of Management plan to calculate.Traditional DEA model is also
Calculated based on Static State Index, therefore the present invention is directed to the characteristic of evaluation object, be dynamic DEA model by DEA model refinement,
Model is set to have the ability that multiple data flows of index in a period of time are substituted into and calculated.
With the basic situation of integrated energy system operation more close to.During integrated energy system operation, many indexs
Value is different within multiple periods, belongs to dynamic indicator and data volume is larger, mixed in together with dynamic indicator, may shadow
Ring the accuracy of calculated result.Core of the present invention by " efficiency " as main examination integrated energy system comprehensive benefit, will
Dynamic indicator is separated with Static State Index, establishes the dynamic DEA model for adapting to integrated energy system operation behavioral characteristics, into
One step improves counting accuracy, more effectively improves the decision support effect of calculated result.
Without carrying out Index Weights and standardization, calculating step is simplified.DEA model is by solving optimum efficiency leading surface
It obtains system operation efficiency, without carrying out Index Weights and data standardization, reduces difficulty in computation, while also reducing
Assign influence of the power result to calculated result.
Model expansibility is strong, can further carry out the further investigation such as sensitivity analysis.The model described in Part IV
On the basis of, other models such as sensitivity analysis and method can also further be added, obtain to further solve to operation
Efficiency, comprehensive benefit influence index the most significant, carry out the design of integrated energy system Management plan for future and provide decision ginseng
It examines.
Specific embodiment
Feature and principle of the invention are described in detail below, illustrated embodiment for explaining only the invention, not
It is limited the scope of protection of the present invention with this.
Integrated energy system comprehensive benefit assessment model method for building up, comprising:
It constructs index system: according to integrated energy system basic framework and operation mode essential characteristic, constructing overall merit
Index system is shown in Table 1:
1 assessment indicator system of table
In view of the applicability of index system, whole business efficiency indexs of the invention and most of energy efficiency index can
By estimating or analog simulation solves to obtain, but the circular of part index number needs are further explained:
Load proportion can be called: representing the specific gravity for accounting for whole loads for the load of calling, load can be called to refer to basis
System call requirement reduces load within the defined period with smooth peakload, or improves load level to dissolve clearly
The load of the clean energy；
Block load prediction accuracy rate: deep block is carried out to system and is segmented, when carrying out load prediction, to each
Load of the block in each period is predicted；The index value is that whole blocks predict quasi- in all period internal loadings
The average value of true rate；
Coupling transfer efficiency: refer to the transfer efficiency between the energy such as water in integrated energy system, electricity, heat, gas；
Autonomous device transmission and storage efficiency: the transmission that the energy deducts transmission loss for equipment in transmission process is represented
Storage efficiency during efficiency and energy stores, release；
Energy supply reliability: representing the index of systems stay power capability, is the extension of power supply reliability index,
Calculation method:
Wherein, SR is energy supply reliability, TSStop for user's energy that is averaged for time, TTFor the time during statistics.
Energy supply stability: the index of describing system energy supply quality, it is contemplated that do not have universality also at present
Index is portrayed for stabilizability, therefore is calculated using voltage stability index.
Index calculating method: the index that index value is single fixed value is determined as Static State Index, index value is at any time
Between change, the different index of value is determined as dynamic indicator in different time period；Dynamic indicator in index calculating method is every
One hour value is primary, calculates according to 24 hours scheduling day.
Dynamic DEA model construction: based on three stage DEA models, for each decision package DMU, positive index
It is set as G, negative sense index is set as B；The vector of index is Hj=(h1j,h2j,...,hoj)T, the vector of positive index can be expressed as
Gj=(g1j,g2j,...,glj)T, the vector of negative sense index is Bj=(b1j,b2j,...,bwj)T, take Hj, GjAnd BjBoth greater than zero,
If the quantity of j is J, the quantity of o, l, w are O, L, W.The efficiency value of k-th of DMU can be obtained by following model solution:
First stage model:
minε (2)
λj>=0 (j=1 ..., J) (6)
λ is the efficiency value multiplier not segmented.
In view of formula (5) are equation and include the variable ε (i.e. the actual efficiency of system operation scheme) finally solved, because
The computability of this model is lower.In addition, first stage model is input negative sense output-index guidance type model, solution is obtained
Efficiency of operation be affected by negative sense index, therefore second stage model is established on the basis of above-mentioned model below, with
Weaken the influence of negative sense index.
Second stage model:
minε (7)
λj>=0 (j=1 ..., J) (12)
In the calculating process of second stage model, index is further discriminated between with (11) by formula (10) to be affected
Index and influence lesser index, to weaken the influence of negative sense index.Influence herein lesser index refer to different DMU it
Between the lesser index of achievement data gap, it is little to the discrimination of DMU, and influence big index and refer to index number between different DMU
It is larger to the discrimination of DMU according to the biggish index of gap.Integration is optimized to second stage model, phase III mould can be obtained
Type.
Phase III model:
αo>=0 (o=1 ..., O) (16)
βl>=0 (l=1 ..., L) (17)
Wherein, formula (14) and (15) middle parameter alpha addedoWith βlAnd δwFor the efficiency value multiplier of different indexs；This
When, still there is equation in constraint condition, but the unknown number without needing to solve.By solving phase III model, institute is obtained
The DMU efficiency value to be solved.
Conventional project scheme evaluation with than choosing, index value is largely definite value, however the present invention to be carried out
The object of overall merit is integrated energy system Management plan, and the specific data of Certain Evaluation Guideline are dynamic, variations, is taken
The index value of a certain particular point in time can not accurately reflect the implementation result of Management plan to calculate.Traditional DEA model is also
Calculated based on Static State Index, therefore the present invention is directed to the characteristic of evaluation object, be dynamic DEA model by DEA model refinement,
Model is set to have the ability that multiple data flows of index in a period of time are substituted into and calculated.
If Xik,tIt indicates to be directed to i-th input pointer of k-th of DMU in time period t, Xik,t,gFor positive index, Xik,t,b
For negative sense index, Yrk,tFor r-th of output-index, Yrk,t,gFor positive index, Yrk,t,bFor negative sense index.Zfk,tIt indicates k-th
DMU reflected index value change with a upper period compared with of the index in time period t in the index value parameter of time period t
Change amount.If a total of T period, input pointer total m, output-index total n, index variable quantity total F, take herein:
Then for k-th of DMU, there is the objective function of dynamic DEA model are as follows:
Constraint condition are as follows:
Wherein, ξi、ψrAnd ζfThe respectively efficiency value multiplier of input variable, output variable and variable quantity, requires ξ hereini
≥εk、ψr≥εk, ζf≥εk, formula (20) to (23) is the model of input pointer guiding, take output-index as the model of guiding are as follows:
Above-mentioned model can solve to obtain the efficiency value multiplier under dynamic condition, be set as ξ hereini,op、ψr,opAnd ζf,op, then needle
To j-th of DMU, in the efficiency of time period t are as follows:
Gross efficiency are as follows:
Index system can be replaced by other index systems, can be altered according to the specific requirement of disparity items, such as should
Integrated energy system is carried out to support new and old kinetic energy conversion, then " the new and old kinetic energy conversion output value can be added in the index system
The indexs such as speedup " " new kinetic energy industry energy accounting ".
With the basic situation of integrated energy system operation more close to.During integrated energy system operation, many indexs
Value is different within multiple periods, belongs to dynamic indicator and data volume is larger, mixed in together with dynamic indicator, may shadow
Ring the accuracy of calculated result.Core of the present invention by " efficiency " as main examination integrated energy system comprehensive benefit, will
Dynamic indicator is separated with Static State Index, establishes the dynamic DEA model for adapting to integrated energy system operation behavioral characteristics, into
One step improves counting accuracy, more effectively improves the decision support effect of calculated result.
Without carrying out Index Weights and standardization, calculating step is simplified.DEA model is by solving optimum efficiency leading surface
It obtains system operation efficiency, without carrying out Index Weights and data standardization, reduces difficulty in computation, while also reducing
Assign influence of the power result to calculated result.
Model expansibility is strong, can further carry out the further investigation such as sensitivity analysis.The model described in Part IV
On the basis of, other models such as sensitivity analysis and method can also further be added, obtain to further solve to operation
Efficiency, comprehensive benefit influence index the most significant, carry out the design of integrated energy system Management plan for future and provide decision ginseng
It examines.
Above-described embodiment is only the description that carries out to the preferred embodiment of the present invention, not to the scope of the present invention into
Row limits, without departing from the spirit of the design of the present invention, relevant technical staff in the field to various modifications of the invention and
It improves, should all expand in protection scope determined by claims of the present invention.
Claims (8)
1. integrated energy system comprehensive benefit assessment model method for building up characterized by comprising
It constructs index system: according to integrated energy system basic framework and operation mode essential characteristic, constructing comprehensive evaluation index
System；
Index calculating method: the index that index value is single fixed value is determined as Static State Index, index value becomes at any time
It moves, the different index of value is determined as dynamic indicator in different time period；
Dynamic DEA model construction: based on three stage DEA models, for each decision package DMU, positive index is set as
G, negative sense index are set as B；The vector of index is Hj=(h1j,h2j,...,hoj)T, the vector of positive index can be expressed as Gj=
(g1j,g2j,...,glj)T, the vector of negative sense index is Bj=(b1j,b2j,...,bwj)T, take Hj, GjAnd BjBoth greater than zero, if j
Quantity is J, and the quantity of o, l, w are O, L, W.
2. integrated energy system comprehensive benefit assessment model method for building up according to claim 1, which is characterized in that building
System of Comprehensive Evaluation is shown in Table 1:
1 assessment indicator system of table
3. integrated energy system comprehensive benefit assessment model method for building up according to claim 2, which is characterized in that adjustable
With load proportion: the specific gravity for accounting for whole loads for the load of calling is represented, load can be called to refer to and required according to system call,
Load is reduced within the defined period with smooth peakload, or improves load level to dissolve the load of clean energy resource；
Block load prediction accuracy rate: deep block is carried out to system and is segmented, when carrying out load prediction, to each block
It is predicted in the load of each period；The index value is whole blocks in all period internal loading predictablity rates
Average value；
Coupling transfer efficiency: refer to the transfer efficiency between the energy such as water in integrated energy system, electricity, heat, gas；
Autonomous device transmission and storage efficiency: the efficiency of transmission that the energy deducts transmission loss for equipment in transmission process is represented
And the storage efficiency during energy stores, release；
Energy supply reliability: representing the index of systems stay power capability, is the extension of power supply reliability index, calculates
Method:
Wherein, SR is energy supply reliability, TSStop for user's energy that is averaged for time, TTFor the time during statistics.
4. integrated energy system comprehensive benefit assessment model method for building up according to claim 1, which is characterized in that index
Each hour value of dynamic indicator in calculation method is primary, calculates according to 24 hours scheduling day.
5. integrated energy system comprehensive benefit assessment model method for building up according to claim 1, which is characterized in that kth
The efficiency value of a DMU can be obtained by following model solution:
First stage model:
minε (2)
λj>=0 (j=1 ..., J) (6)
λ is the efficiency value multiplier not segmented.
6. integrated energy system comprehensive benefit assessment model method for building up according to claim 5, which is characterized in that
Second stage model is established on the basis of one stage model:
Second stage model:
minε (7)
λj>=0 (j=1 ..., J) (12).
7. integrated energy system comprehensive benefit assessment model method for building up according to claim 6, which is characterized in that
Two-stage model optimizes integration, obtains phase III model；
Phase III model:
αo>=0 (o=1 ..., O) (16)
βl>=0 (l=1 ..., L) (17)
Wherein, formula (14) and (15) middle parameter alpha addedoWith βlAnd δwFor the efficiency value multiplier of different indexs；Pass through solution
Phase III model obtains the required DMU efficiency value solved.
8. according to any integrated energy system comprehensive benefit assessment model method for building up of claim 5-7, feature exists
In if Xik,tIt indicates to be directed to i-th input pointer of k-th of DMU in time period t, Xik,t,gFor positive index, Xik,t,bFor negative sense
Index, Yrk,tFor r-th of output-index, Yrk,t,gFor positive index, Yrk,t,bFor negative sense index.Zfk,tIndicate k-th of DMU when
Between section t index value parameter, reflected index value variable quantity with a upper period compared with of the index in time period t.If
A total of T period, output-index total n, index variable quantity total F, takes herein by input pointer total m:
Then for k-th of DMU, there is the objective function of dynamic DEA model are as follows:
Constraint condition are as follows:
Wherein, ξi、ψrAnd ζfThe respectively efficiency value multiplier of input variable, output variable and variable quantity, requires ξ hereini≥εk、
ψr≥εk, ζf≥εk, formula (20) to (23) is the model of input pointer guiding, take output-index as the model of guiding are as follows:
Above-mentioned model can solve to obtain the efficiency value multiplier under dynamic condition, be set as ξ hereini,op、ψr,opAnd ζf,op, then it is directed to jth
A DMU, in the efficiency of time period t are as follows:
Gross efficiency are as follows:
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| CN110110991A (en) * | 2019-04-30 | 2019-08-09 | 天津大学 | A kind of more G system comprehensive energy efficiency appraisement system construction methods of sea water desalination multi-source |
| CN110378590A (en) * | 2019-07-10 | 2019-10-25 | 国网福建省电力有限公司 | Based on the multiple-energy-source microgrid efficiency of operation evaluation method for improving DEA Model |
| CN110991870A (en) * | 2019-11-29 | 2020-04-10 | 南京工业大学 | Intensive characteristic comprehensive energy system data processing and calculating method |
| CN112749900A (en) * | 2021-01-12 | 2021-05-04 | 南京工程学院 | Three-stage DEA power grid energy efficiency analysis method based on optimization expert evaluation method |
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| US20170286834A1 (en) * | 2014-11-19 | 2017-10-05 | Tianjin University | Bidding method of distributed energy resource in micro-grid based on artificial immunity |
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