CN105404932A - Energy Internet integration assessment and optimization configuration method based on intelligent power grid innovation demonstration zone - Google Patents

Abstract

The invention relates to an energy Internet integration assessment and optimization configuration method based on an intelligent power grid innovation demonstration zone. The method comprises the following steps of step1, establishing an energy Internet assessment index system based on the intelligent power grid innovation demonstration zone; step2, according to correlation among indexes, using an interpretation structure model to carry out hierarchical processing on the indexes; step3, solving a weighting factor corresponding to each index; step4, carrying out data pre-processing on each index; step5, carrying out integration assessment on the intelligent power grid innovation demonstration zone; step6, carrying out optimization configuration on the demonstration zone according to an assessment result. In the invention, the energy Internet assessment index system of the intelligent power grid innovation demonstration zone is established from multiple aspects; the energy Internet integration assessment method is given out through referencing the interpretation structure model and a thought of a hierarchical analysis method; based on the assessment result, the optimization configuration is performed on the demonstration zone energy Internet so that an assessment scheme and a guidance strategy are provided for energy Internet construction.

Description

Based on the comprehensive assessment of energy internet and the Optimal Configuration Method in intelligent grid innovative demonstration district

Technical field

The invention belongs to energy assessment technology field, particularly a kind of energy internet comprehensive assessment based on intelligent grid innovative demonstration district and Optimal Configuration Method.

Background technology

In recent years; although the widespread use of fossil energy brings economic growth rapidly to developing country; result also in the environmental crisis such as climate change, air quality deterioration; along with the fast development of regenerative resource and Internet technology, the industry of traditional dependence fossil energy and Economic Development Mode can not meet the requirement of economic development.Nowadays, raise the curtain to set up the energy revolution that more efficient, safety and continuable energy utilization pattern are target.The proposition of energy internet concept is solution energy environment contradiction, promotes that economic society sustainable development provides new thinking.

Power industry bears substantial responsibility as the industry that fossil energy consumption is maximum in energy revolution, also takes the lead in proposing the concept of energy internet and relies on science and technology item to launch correlative study.2008, U.S. NSF project proposed the concept of energy internet first, pointed out that energy internet is a kind of novel power grid structure, in a distributed manner based on renewable energy power generation and energy storage, and thought the developing direction of intelligent grid.European Countries is also numerous and confused subsequently launches research and emphasis promotion.The research of China to energy internet is started late, and also rests on theory stage at present.Within 2013, State Grid Corporation of China sends the documents at Science and Technology Daily, and proposing following intelligent grid is exactly " energy internet ".Within 2014, the project started in energy internet development strategy, Technical Architecture etc. is just launched in succession, and the research that the construction in intelligent grid innovative demonstration district is energy internet provides well support and display platform.

At present, not yet carry out based on the research of the energy internet evaluation index system in intelligent grid innovative demonstration district about setting up; And, after setting up the evaluation index system of energy internet, due to not separate between each index, therefore, be difficult to determine each index shared weight in energy internet evaluation model by classic method, also cannot be optimized configuration according to assessment result accurately to demonstration area intelligent grid.

Summary of the invention

The object of the invention is to overcome the deficiencies in the prior art, provide a kind of reasonable in design, computation process Simple And Practical, assessment result accurately and the strong energy internet comprehensive assessment based on intelligent grid innovative demonstration district of reliability and Optimal Configuration Method.

The present invention solves its technical matters and takes following technical scheme to realize:

Based on the comprehensive assessment of energy internet and the Optimal Configuration Method in intelligent grid innovative demonstration district, comprise the following steps:

Step 1, set up based on intelligent grid innovative demonstration district energy internet assessment indicator system;

Step 2, according to the correlativity between each index, adopt ISM layered shaping is carried out to index;

Step 3, solve weight factor corresponding to each index;

Step 4, data prediction is carried out to each index:

Step 5, comprehensive evaluation is carried out to intelligent grid innovative demonstration district;

Step 6, foundation evaluation result are optimized configuration to demonstration area intelligent grid.

And described step 1 sets up intelligent grid innovative demonstration district energy internet assessment indicator system from such as lower angle;

(1) economical: investment payback time, input-output ratio, Installed capital cost, operation expense, management service cost, cool and thermal power Cost for Coordination, stand-by cost and subsidy income;

(2) energy: primary energy ratio, primary energy consumption amount, clean energy resource utilization factor, clean energy resource ratio, thermoelectricity exchange rate and comprehensive utilization of waste materials rate;

(3) environment: pollutant discharge amount, pollution reduction rate, pollution abatement costs, blowdown punishment expense, rectification failure costs and hazard of contaminant index;

(4) society: user satisfaction, corporate image income, enterprises propagandist expense, relevant industries Intrusion Index, employment benefit and new-energy automobile occupation rate;

(5) engineering: technical feasibility, engineering safety, project extensibility, wide area sharing, duration and engineering tenure of use.

And the concrete steps of described step 2 comprise:

(1) according to described in step 1 based on energy internet, intelligent grid innovative demonstration district assessment indicator system establishing element collection N;

N＝{S _i|i＝1,2,…,n}

In formula, S _ifor evaluation index, n is index number;

(2) determine other indexs that each index directly affects, then according to the oriented relation between each index, set up Image model and adjacency matrix A; Wherein,

In formula, a _ijfor element corresponding in adjacency matrix A;

(3) according to passing rule characteristic, if during k≤n-1, meet (A+I) ≠ ... ≠ (A+I) ^k≠ (A+I) ^k+1, then according to following formulae discovery reachability matrix M:

M＝(A+I) ^k

In formula, k is arbitrary integer, and n is index number, and I is unit matrix;

(4) divide level according to reachability matrix, form the hierarchical structure model represented with multistage step digraph;

(5) according to correlation theory and experience, the multistage step digraph described in step 2 (4) step is made an explanation and obtains ISM; If this ISM and existing practical experience inconsistent, then return step 2 (2) step to revise relevant key element and binary relation thereof and ISM, if this ISM is consistent with existing practical experience, enter step 3.

And the concrete steps of described step 3 comprise:

(1) expert comparatively gives a mark to every layer of index according to important ratio and constructs multiple judgment matrix according to scoring;

(2) calculate the weighted value of every layer of index, and be normalized scoring after obtaining final weighted value according to every layer of weighted value superposition.

And the concrete steps of described step 4 are by the quantizating index x in index system _i, x _jcarry out standardization processing by following formula and obtain normal value y _i:

$y_i=\frac{x_i-\underset{1\≤j\≤n}{min}\left\{x_j\right\}}{\underset{1\≤j\≤n}{\max }\left\{x_j\right\}-\underset{1\≤j\≤n}{min}\left\{x_j\right\}}$

In formula, x _i, x _jfor corresponding quantification of targets value, y _ifor index normal value, n is index number;

Then need minimized index to get benefit cost etc., obtained the standard value c of index i by following formula _i;

And the concrete steps of described step 5 are: according to following formula:

Respectively the standard value of each index is added with shared multiplied by weight, obtains each angle in energy internet and evaluate score G _j, judge whether to reach project minimum requirements, and adjust accordingly;

In formula, w _ifor the weighted value of index i in angle j, c _ifor the standard value of index i in angle j, n _jfor the index number of angle j, G _jfor the comprehensive grading of this angle.

And, the concrete steps of described step 6 are: with each angle scoring for foundation, set up the objective function of following energy internet economy, environment, the energy, social each orientation optimization configuration, and modeling carried out to energy internet, qualitatively can be configured guidance with engineering viewpoint:

C ₁＝C _in+α×(V _y-V _r)-β×R

In above-mentioned expression formula, C ₁for the objective function of economic angle configuration; C _infor gross investment fixed cost; V _yfor annual operation maintenance and fuel cost; V _rfor the fuel cost of normal power supplies saved every year; R is the residual value of distributed power generation; α and β is respectively year value and the conversion coefficient changed to present worth of final value;

Wherein, β=(1+p) ^-m;

In above-mentioned expression formula, m is the time limit that DG investment uses; P is fixing annual rate;

C ₂＝ξ(μ+ν×P _c/σ+(1+1/σ ²)γ×P _c ²)

In above-mentioned expression formula, C ₂for the objective function of energy environment angle configurations; P _cfor traditional fossil energy generating/refrigeration/heat supply general power, μ, ν, γ are toxic emission coefficient, and σ is for supplying the heat equivalent coefficient of performance, and ξ is Environmental costs coefficient;

C ₃＝ζ(τ×ε ₁+ρ×ε ₂)

In above-mentioned expression formula, C ₃for the objective function of social perspective configuration; ζ is social cost coefficient, ε ₁, ε ₂be respectively generation of electricity by new energy ratio and intelligent power ratio, τ, ρ are respectively corresponding influence coefficient;

C＝G ₁×C ₁+(G ₂+G ₃)×C ₂+G ₄×C ₃

Finally, determine the final goal function C that distributes rationally by above-mentioned formula after, Land use models searching algorithm solves.

And the concrete steps of described step 3 (2) step comprise:

1. utilize following weight coefficient computing formula, calculate the weight of each index factor:

$w_i=\frac{\sqrt[n]{\underset{j=1}{\overset{n}{\Π}}{b}_{ij}}}{\underset{i=1}{\overset{n}{\Σ}}\sqrt[n]{\underset{j=1}{\overset{n}{\Π}}{b}_{ij}}}$

Then according to the weight of each index factor, in conjunction with following formula, consistency check is carried out to acquired results; If C.I<0.10, then pass through consistency check;

BW＝λW

$C.I=\frac{{\mathrm{\&lambda;}}_{max}-n}{n-1}$

Wherein, W is weight matrix, w _ifor the weighted value of index i, B is n rank judgment matrixs; b _ijfor the corresponding element in judgment matrix; λ is the Maximum characteristic root of judgment matrix; C.I is consistency check parameter.

2. every one deck evaluation index is calculated it respectively when time weight and superposition weight, finally provide the weight w of each evaluation index _imark with normalization.

And the configuration constraint condition of the final goal function of distributing rationally described in step 6 comprises: electric quantity balancing constraint, heat balance constraint and machine utilization constraint.

Advantage of the present invention and good effect are:

1, the present invention with intelligent grid innovative demonstration district for rely on, from the concept of energy internet, feature, the aspects such as stakeholder are introduced energy internet and analyze, from economy, the energy, environment, society and engineering five angles set up intelligent grid innovative demonstration district energy internet assessment indicator system, and the thinking using for reference ISM and analytical hierarchy process provides energy internet comprehensive estimation method, last is according to being optimized configuration to energy internet, demonstration area with assessment result, to providing evaluation scheme and guiding strategies to the design and construction of energy internet.

2, the present invention in new Tianjin ecological city, from economy, the energy, environment, society and engineering five angles set up the assessment indicator system of energy internet, intelligent grid innovative demonstration district, due to not separate between each index, be difficult to determine its shared weight in energy internet evaluation model by classic method, therefore ISM method is adopted to make an explanation analysis to index system, draw the interact relation between different index, and then the thinking of using for reference analytical hierarchy process draws weight shared by different index, finally by normalized, different energy sources internet is carried out comprehensive evaluation and distributed rationally.One aspect of the present invention is evaluated built energy internet, demonstration area, distributes rationally accordingly energy internet according to evaluation result; On the other hand for offering reference in the energy internet, demonstration area in planning, instruct the design of its energy source configuration pattern, construction plan mode and operation pipe diameter design.

Accompanying drawing explanation

Fig. 1 is specific embodiment of the invention process flow diagram;

Fig. 2 is assessment indicator system figure of the present invention;

Fig. 3 is step analysis Multilevel Hierarchical digraph of the present invention.

Embodiment

Below in conjunction with accompanying drawing, the embodiment of the present invention is further described:

Based on the polynary energy production mode prediction method in intelligent grid innovative demonstration district, as shown in Figure 1, comprise the following steps:

Step 1, set up based on intelligent grid innovative demonstration district energy internet assessment indicator system;

Described step 1 sets up intelligent grid innovative demonstration district energy internet assessment indicator system from economy, the energy, environment, society, engineering five angles;

(1) economical: investment payback time, input-output ratio, Installed capital cost, operation expense, management service cost, cool and thermal power Cost for Coordination, stand-by cost, subsidy income;

(2) energy: primary energy ratio, primary energy consumption amount, clean energy resource utilization factor, clean energy resource ratio, thermoelectricity exchange rate, comprehensive utilization of waste materials rate;

(3) environment: pollutant discharge amount, pollution reduction rate, pollution abatement costs, blowdown punishment expense, rectification failure costs, hazard of contaminant index;

(4) society: user satisfaction, corporate image income, enterprises propagandist expense, relevant industries Intrusion Index, employment benefit, new-energy automobile occupation rate;

(5) engineering: technical feasibility, engineering safety, project extensibility, wide area sharing, duration, engineering tenure of use.

Step 2, according to the correlativity between each index, adopt ISM layered shaping is carried out to index;

The concrete steps of described step 2 are:

(1) key element collection N is as shown in Figure 2 built according to described in step 1 based on intelligent grid innovative demonstration district energy internet assessment indicator system;

N＝{S _i|i＝1,2,…,n}(1)

In formula, Si is evaluation index, and n is index number;

(2) determine other indexs that each index directly affects, then according to the oriented relation between each index, set up Image model and adjacency matrix A; Wherein,

In formula, a _ijfor element corresponding in adjacency matrix A;

(3) according to passing rule characteristic, if during k≤n-1, meet following formula (3), then calculate reachability matrix M according to following formula (4):

(A+I)≠…≠(A+I) ^k≠(A+I) ^k+1(3)

M＝(A+I) ^k(4)

In formula, k is arbitrary integer, and n is index number, and I is unit matrix;

(4) based on above-mentioned reachability matrix M, use method for normalizing or practical approach to divide agriculture products level, form hierarchical structure model, represent with Multilevel Hierarchical digraph, as shown in Figure 3;

(5) according to correlation theory and experience, the multistage step digraph described in step 2 (4) step is made an explanation and obtains ISM; If this ISM and existing practical experience inconsistent, then return step 2 (2) step to revise relevant key element and binary relation thereof and ISM, if this ISM is consistent with existing practical experience, enter step 3.

Step 3, solve weight factor corresponding to each index;

The concrete steps of described step 3 comprise:

(1) expert comparatively gives a mark to every layer of index according to important ratio and constructs multiple judgment matrix according to scoring;

(2) calculate the weighted value of every layer of index, and be normalized scoring after obtaining final weighted value according to every layer of weighted value superposition.

The concrete steps of described step 3 (1) step are:

Expert gives a mark according to 1 ~ 9 scale according to the relative importance between each index of each level, relative to same key element, 1 represents that two factors of its lower floor have identical importance, along with the increase of scale value, the former also increases than the importance degree of the latter, 9 represent that two factors are compared, and the former is very more important than the latter, according to the multiple judgment matrix of scoring structure.

The concrete steps of described step 3 (2) step are:

1. utilize weight coefficient formulas (5), calculate the weight of each index factor, and according to the weight of each index factor, in conjunction with formula (6) and formula (7), consistency check is carried out to acquired results; If C.I<0.10, then pass through consistency check;

$w_i=\frac{\sqrt[n]{\underset{j=1}{\overset{n}{\&Pi;}}{b}_{ij}}}{\underset{i=1}{\overset{n}{\&Sigma;}}\sqrt[n]{\underset{j=1}{\overset{n}{\&Pi;}}{b}_{ij}}}---\left(5\right)$

BW＝λW(6)

$C.I=\frac{{\mathrm{\&lambda;}}_{max}-n}{n-1}---\left(7\right)$

Wherein, W is weight matrix, w _ifor the weighted value of index i, B is n rank judgment matrixs; b _ijfor the corresponding element in judgment matrix; λ is the Maximum characteristic root of judgment matrix; C.I is consistency check parameter.

2. every one deck evaluation index is calculated it respectively when time weight and superposition weight, finally provide the weight w of each evaluation index shown in table 1 _imark with normalization.

(table 1): each index weights, scoring and standard value

Step 4, data prediction is carried out to each index;

The concrete steps of described step 4 are:

By the quantizating index x in index system _i, x _jcarry out standardization processing by following formula (8) and obtain normal value y _i, and need minimized index to get benefit cost etc., the standard value c of index i as shown in table 1 is obtained by following formula (9) _i;

$y_i=\frac{x_i-\underset{1\&le;j\&le;n}{min}\left\{x_j\right\}}{\underset{1\&le;j\&le;n}{\max }\left\{x_j\right\}-\underset{1\&le;j\&le;n}{min}\left\{x_j\right\}}---\left(8\right)$

In formula, x _i, x _jfor corresponding quantification of targets value, y _ifor index normal value, n is index number;

Step 5, comprehensive evaluation is carried out to intelligent grid innovative demonstration district;

The concrete steps of described step 5 are:

Respectively the standard value of each index is added with shared multiplied by weight according to formula (10), obtains each angle in energy internet and evaluate score G _j, judge whether to reach project minimum requirements, and adjust accordingly;

$G_j=\underset{i=1}{\overset{n_j}{\&Sigma;}}{w}_i\&times;c_i---\left(10\right)$

In formula, w _ifor the weighted value of index i in angle j, c _ifor the standard value of index i in angle j, n _jfor the index number of angle j, G _jfor the comprehensive grading of this angle.

Calculated by table 1 the data obtained, each index weights is multiplied with indicators standard value and is added, must this energy internet comprehensive grading be 0.6311, mark respectively from economy, the energy, environment, society and engineering viewpoint, obtain 0.5937,0.3800,0.8472,0.6428,0.7396.

Step 6, foundation evaluation result are optimized configuration to demonstration area intelligent grid;

The concrete steps of described step 6 comprise:

(1) with the objective function of each angle scoring for configuring such as formula the energy internet economy shown in (11)-(13), environment, the energy, social each orientation optimization according to foundation, and modeling is carried out to energy internet, qualitatively can be configured guidance with engineering viewpoint, determine the final goal function of distributing rationally by formula (14).

(2) Land use models searching algorithm solves.

The concrete steps of described step 6 (1) step comprise:

1. the final goal function of distributing rationally is determined:

C ₁＝C _in+α×(V _y-V _r)-β×R(11)

In above-mentioned expression formula, C ₁for the objective function of economic angle configuration; C _infor gross investment fixed cost; V _yfor annual operation maintenance and fuel cost; V _rfor the fuel cost of normal power supplies saved every year; R is the residual value of distributed power generation; α and β is respectively year value and the conversion coefficient changed to present worth of final value;

Wherein, β=(1+p) ^-m;

In above-mentioned expression formula, m is the time limit that DG investment uses; P is fixing annual rate;

C ₂＝ξ(μ+ν×P _c/σ+(1+1/σ ²)γ×P _c ²)(12)

In above-mentioned expression formula, C ₂for the objective function of energy environment angle configurations; P _cfor traditional fossil energy generating/refrigeration/heat supply general power, μ, ν, γ are toxic emission coefficient, and σ is for supplying the heat equivalent coefficient of performance, and ξ is Environmental costs coefficient;

C ₃＝ζ(τ×ε ₁+ρ×ε ₂)(13)

In above-mentioned expression formula, C ₃for the objective function of social perspective configuration; ζ is social cost coefficient, ε ₁, ε ₂be respectively generation of electricity by new energy ratio and intelligent power ratio, τ, ρ are respectively corresponding influence coefficient;

C＝G ₁×C ₁+(G ₂+G ₃)×C ₂+G ₄×C ₃(14)

In above-mentioned expression formula, C is the final goal function of distributing rationally;

2. configuration constraint is set, comprises electric quantity balancing constraint, heat balance constraint, machine utilization constraint etc.

The concrete steps of described step 6 (2) step are: the pattern search algorithm (Patternsearch) in Bian Matlab tool box, as optimizing the basic skills calculated, solves, determines the configuration capacity of each several part.

It is emphasized that; embodiment of the present invention is illustrative; instead of it is determinate; therefore the present invention includes the embodiment be not limited to described in embodiment; every other embodiments drawn by those skilled in the art's technical scheme according to the present invention, belong to the scope of protection of the invention equally.

Claims (9)

1., based on the comprehensive assessment of energy internet and the Optimal Configuration Method in intelligent grid innovative demonstration district, it is characterized in that comprising the following steps:

Step 1, set up based on intelligent grid innovative demonstration district energy internet assessment indicator system;

Step 2, according to the correlativity between each index, adopt ISM layered shaping is carried out to index;

Step 3, solve weight factor corresponding to each index;

Step 4, data prediction is carried out to each index:

Step 5, comprehensive evaluation is carried out to intelligent grid innovative demonstration district;

Step 6, foundation evaluation result are optimized configuration to demonstration area intelligent grid.

2. the energy internet comprehensive assessment based on intelligent grid innovative demonstration district according to claim 1 and Optimal Configuration Method, is characterized in that: step 1 sets up intelligent grid innovative demonstration district energy internet assessment indicator system from such as lower angle;

(1) economical: investment payback time, input-output ratio, Installed capital cost, operation expense, management service cost, cool and thermal power Cost for Coordination, stand-by cost and subsidy income;

(2) energy: primary energy ratio, primary energy consumption amount, clean energy resource utilization factor, clean energy resource ratio, thermoelectricity exchange rate and comprehensive utilization of waste materials rate;

(3) environment: pollutant discharge amount, pollution reduction rate, pollution abatement costs, blowdown punishment expense, rectification failure costs and hazard of contaminant index;

(4) society: user satisfaction, corporate image income, enterprises propagandist expense, relevant industries Intrusion Index, employment benefit and new-energy automobile occupation rate;

(5) engineering: technical feasibility, engineering safety, project extensibility, wide area sharing, duration and engineering tenure of use.

3. the energy internet comprehensive assessment based on intelligent grid innovative demonstration district according to claim 1 and Optimal Configuration Method, is characterized in that the concrete steps of described step 2 comprise:

(1) according to described in step 1 based on energy internet, intelligent grid innovative demonstration district assessment indicator system establishing element collection N;

N＝{S _i|i＝1,2,…,n}

In formula, S _ifor evaluation index, n is index number;

(2) determine other indexs that each index directly affects, then according to the oriented relation between each index, set up Image model and adjacency matrix A; Wherein,

In formula, a _ijfor element corresponding in adjacency matrix A;

(3) according to passing rule characteristic, if during k≤n-1, meet (A+I) ≠ ... ≠ (A+I) ^k≠ (A+I) ^k+1, then according to following formulae discovery reachability matrix M:

M＝(A+I) ^k

In formula, k is arbitrary integer, and n is index number, and I is unit matrix;

(4) divide level according to reachability matrix, form the hierarchical structure model represented with multistage step digraph;

(5) according to correlation theory and experience, the multistage step digraph described in step 2 (4) step is made an explanation and obtains ISM; If this ISM and existing practical experience inconsistent, then return step 2 (2) step to revise relevant key element and binary relation thereof and ISM, if this ISM is consistent with existing practical experience, enter step 3.

4. the energy internet comprehensive assessment based on intelligent grid innovative demonstration district according to claim 1 and Optimal Configuration Method, is characterized in that the concrete steps of described step 3 comprise:

(1) expert comparatively gives a mark to every layer of index according to important ratio and constructs multiple judgment matrix according to scoring;

(2) calculate the weighted value of every layer of index, and be normalized scoring after obtaining final weighted value according to every layer of weighted value superposition.

5. the energy internet comprehensive assessment based on intelligent grid innovative demonstration district according to claim 1 and Optimal Configuration Method, is characterized in that: the concrete steps of described step 4 are by the quantizating index x in index system _i,x _jcarry out standardization processing by following formula and obtain normal value y _i:

$y_i=\frac{x_i-\underset{1\&le;j\&le;n}{min}\left\{x_j\right\}}{\underset{1\&le;j\&le;n}{\max }\left\{x_j\right\}-\underset{1\&le;j\&le;n}{min}\left\{x_j\right\}}$

In formula, x _i, x _jfor corresponding quantification of targets value, y _ifor index normal value, n is index number;

Then need minimized index to get benefit cost etc., obtained the standard value c of index i by following formula _i;

6. the energy internet comprehensive assessment based on intelligent grid innovative demonstration district according to claim 1 and Optimal Configuration Method, is characterized in that the concrete steps of described step 5 are: according to following formula:

$G_j=\underset{i=1}{\overset{n_j}{\&Sigma;}}{w}_i\&times;c_i$

Respectively the standard value of each index is added with shared multiplied by weight, obtains each angle in energy internet and evaluate score G _j, judge whether to reach project minimum requirements, and adjust accordingly;

In formula, w _ifor the weighted value of index i in angle j, c _ifor the standard value of index i in angle j, n _jfor the index number of angle j, G _jfor the comprehensive grading of this angle.

7. the energy internet comprehensive assessment based on intelligent grid innovative demonstration district according to claim 1 and Optimal Configuration Method, it is characterized in that the concrete steps of described step 6 are: with each angle scoring for foundation, set up the objective function of following energy internet economy, environment, the energy, social each orientation optimization configuration, and modeling is carried out to energy internet, qualitatively can be configured guidance with engineering viewpoint:

C ₁＝C _in+α×(V _y-V _r)-β×R

In above-mentioned expression formula, C ₁for the objective function of economic angle configuration; C _infor gross investment fixed cost; V _yfor annual operation maintenance and fuel cost; V _rfor the fuel cost of normal power supplies saved every year; R is the residual value of distributed power generation; α and β is respectively year value and the conversion coefficient changed to present worth of final value;

Wherein, $\mathrm{\&alpha;}=\frac{{(1+p)}^m-1}{p{(1+p)}^m},\mathrm{\&beta;}={(1+p)}^{-m};$

In above-mentioned expression formula, m is the time limit that DG investment uses; P is fixing annual rate;

C ₂＝ξ(μ+ν×P _c/σ+(1+1/σ ²)γ×P _c ²)

In above-mentioned expression formula, C ₂for the objective function of energy environment angle configurations; P _cfor traditional fossil energy generating/refrigeration/heat supply general power, μ, ν, γ are toxic emission coefficient, and σ is for supplying the heat equivalent coefficient of performance, and ξ is Environmental costs coefficient;

C ₃＝ζ(τ×ε ₁+ρ×ε ₂)

In above-mentioned expression formula, C ₃for the objective function of social perspective configuration; ζ is social cost coefficient, ε ₁, ε ₂be respectively generation of electricity by new energy ratio and intelligent power ratio, τ, ρ are respectively corresponding influence coefficient;

C＝G ₁×C ₁+(G ₂+G ₃)×C ₂+G ₄×C ₃

Finally, determine the final goal function C that distributes rationally by above-mentioned formula after, Land use models searching algorithm solves.

8. the energy internet comprehensive assessment based on intelligent grid innovative demonstration district according to claim 4 and Optimal Configuration Method, is characterized in that the concrete steps of described step 3 (2) step comprise:

1. utilize following weight coefficient computing formula, calculate the weight of each index factor:

$w_i=\frac{\sqrt[n]{\underset{j=1}{\overset{n}{\&Pi;}}{b}_{ij}}}{\underset{i=1}{\overset{n}{\&Sigma;}}\sqrt[n]{\underset{j=1}{\overset{n}{\&Pi;}}{b}_{ij}}}$

Then according to the weight of each index factor, in conjunction with following formula, consistency check is carried out to acquired results; If C.I<0.10, then pass through consistency check;

$\begin{array}{c}BW=\mathrm{\&lambda;}W\\ C.I=\frac{{\mathrm{\&lambda;}}_{max}-n}{n-1}\end{array}$

Wherein, W is weight matrix, w _ifor the weighted value of index i, B is n rank judgment matrixs; b _ijfor the corresponding element in judgment matrix; λ is the Maximum characteristic root of judgment matrix; C.I is consistency check parameter.

2. every one deck evaluation index is calculated it respectively when time weight and superposition weight, finally provide the weight w of each evaluation index _imark with normalization.

9. the energy internet comprehensive assessment based on intelligent grid innovative demonstration district according to claim 7 and Optimal Configuration Method, is characterized in that: the configuration constraint condition of the final goal function of distributing rationally described in step 6 comprises: electric quantity balancing constraint, heat balance constraint and machine utilization constraint.