CN105427191A - User electricity utilization energy efficiency assessment method - Google Patents

Abstract

The invention relates to a user electricity utilization energy efficiency assessment method. The method comprises the following steps of according to user electricity utilization information, determining a user electricity utilization energy efficiency assessment index system; carrying out a dimensionless method on each index in the user electricity utilization energy efficiency assessment index system; acquiring combination weight of each index in the user electricity utilization energy efficiency assessment index system; establishing a user electricity utilization energy efficiency improvement matter element extension model; evaluating the user electricity utilization energy efficiency to be evaluated. In the method provided in the invention, the comprehensive user electricity utilization energy efficiency assessment index system is established; a combination weighting method is used to carry out weighting on the index system so as to balance influences of subjective and objective factors; the matter element extension model is used to carry out grading on whole energy efficiency of the user and each energy efficiency index so as to realize energy efficiency assessment on each level of the user; a basis is provided for carrying out energy management and excavating energy saving potential.

Description

A kind of user power utilization energy efficiency evaluating method

Technical field

The present invention relates to user with energy field, be specifically related to a kind of user power utilization energy efficiency evaluating method.

Background technology

Sustainable development has become the direction of current social development, and the energy utilization patterns of tradition extensive style have caused watching out for of people, and electric power is as the core energy of modern society, and the energy-saving and emission-reduction of power consumer are imperative.And how to find user's energy-saving potential, formulate energy-saving scheme, key is to set up a set of effective energy efficiency evaluation system.

Energy efficiency evaluation system should characterizing consumer can situation all sidedly, contain user can links, and user's energy greatly data be herein is provided full and accurate data supporting.Energy efficiency evaluation system should adopt the method for science to assess user's efficiency, network enabling legislation is adopted to characterize the relation interknited between each index, Element Extension Model is adopted to carry out grade classification to user's comprehensive energy efficiency and each energy efficiency indexes, the efficiency level of reaction user each side definitely.

Therefore set up electricity consumption user energy efficiency evaluation system and control enterprise energy consumption to instructing power consumer, it is significant that auxiliary power industry optimizes energy resources configuration.

Summary of the invention

For the deficiencies in the prior art, the invention provides a kind of user power utilization energy efficiency evaluating method, establish comprehensive user power utilization energy efficiency evaluation index system, Evaluation formula is adopted to carry out tax power to index system, to balance the impact of subjective and objective factor, adopt Element Extension Model to carry out grade classification to the overall efficiency of user and each energy efficiency indexes, realize the energy efficiency evaluation to each aspect of user, for carrying out energy management, development of latent energy-saving potential provides foundation.

The object of the invention is to adopt following technical proposals to realize:

A kind of user power utilization energy efficiency evaluating method, its improvements are, comprising:

(1) according to user power utilization information, user power utilization energy efficiency evaluation index system is determined;

(2) each index in described user power utilization energy efficiency evaluation index system is carried out nondimensionalization process;

(3) combining weights of each index in described user power utilization energy efficiency evaluation index system is obtained;

(4) set up user power utilization efficiency and improve Element Extension Model;

(5) user power utilization efficiency to be evaluated is evaluated.

Preferably, in described step (1), user power utilization energy efficiency evaluation index system comprises: comprehensive energy consumption index, energy consumption system index, production information index and power quality index, wherein, described comprehensive energy consumption index comprises: comparable comprehensive energy consumption index, comparable comprehensive indicator of power consumption and comparable substep energy consumption index, described energy consumption system index comprises: energy efficiency of equipment index, plant factor index, equipment failure rate index, apparatus of load rate index and energy conversion utilize index, described production information index comprises: production shift arranges index, workman's technical merit index, product percent of pass index, service arrangement index and demand response participate in index, described power quality index comprises: voltage deviation index, imbalance of three-phase voltage index, power supply reliability index and harmonic wave index.

Preferably, in described step (2), large index, minimal type index and fixed index are divided into, if described index is large index to each index in described user power utilization energy efficiency evaluation index system, then described index is carried out nondimensionalization process, formula is:

$x^{\′}=\frac{x-x_{min}}{x_{max}-x_{min}}---\left(1\right)$

In formula (1), x ' is index without guiding principle quantized value, and x is desired value, x _minfor index lower limit, x _maxfor index higher limit;

If described index is minimal type index, then described index is carried out nondimensionalization process, formula is:

$x^{\′}=\frac{x_{max}-x}{x_{\max }-x_{\min }}\left(2\right)$

If described index is fixed index, then described index is carried out nondimensionalization process, formula is:

$x^{\′}=1-\frac{\left|x-\mathrm{\γ}\right|}{\mathrm{\γ}}---\left(3\right)$

In formula (3), γ is the best fixed value of desired value x.

Preferably, described step (3) comprising:

(3-1) analytical hierarchy process is adopted to obtain the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{1, i};

(3-2) entropy assessment is adopted to obtain the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{2, i};

(3-3) the combining weights W of i-th index in described user power utilization energy efficiency evaluation index system is determined _i, formula is:

$W_i=\frac{W_{1,i}\·W_{2,i}}{\underset{i=1}{\overset{n}{\Σ}}{W}_{1,i}\·W_{2,i}}---\left(4\right)$

In formula (4), i ∈ [1, n], n are index sum in described user power utilization energy efficiency evaluation index system.

Further, described employing analytical hierarchy process obtains the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{1, i}, comprising:

Set up the judgment matrix X of each index in described user power utilization energy efficiency evaluation index system, formula is:

$X=\left[\begin{array}{ccc}{x}_{1,1}& \mathrm{...}& x_{1,n}\\ \mathrm{...}& \mathrm{...}& \mathrm{...}\\ x_{n,1}& \mathrm{...}& x_{n,n}\end{array}\right]---\left(5\right)$

Wherein, described judgment matrix X is n × n matrix, and n is index sum in described user power utilization energy efficiency evaluation index system, and in described matrix X, the element of the i-th row jth row is a _i,j, i, j ∈ [1, n], x _i,jfor the significance level of i-th index and a jth index in described user power utilization energy efficiency evaluation index system;

The weights W of i-th index in described user power utilization energy efficiency evaluation index system _{1, i}, formula is:

$W_{1,i}=\frac{1}{n}\underset{j=1}{\overset{n}{\Σ}}\frac{x_{i,j}}{\underset{k=1}{\overset{n}{\Σ}}{x}_{k,j}}---\left(6\right)$

In formula (6), x _k,jfor the significance level of a kth index and a jth index in described user power utilization energy efficiency evaluation index system, k ∈ [1, n].

Further, described employing entropy assessment obtains the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{2, i}, comprising:

Determine i-th index y of s user _s,iproportion p _s,i, formula is:

$p_{s,i}=\frac{y_{s,i}}{\underset{s=1}{\overset{m}{\Σ}}{y}_{s,i}}---\left(7\right)$

In formula (7), s ∈ [1, m], m are total number of users, and i ∈ [1, n], n are index sum in described user power utilization energy efficiency evaluation index system;

Determine the entropy e of i-th index _i, formula is:

$e_i=-k\underset{s=1}{\overset{m}{\Σ}}{p}_{s,i}\·ln{p}_{s,i}---\left(8\right)$

In formula (8), k=1/lnm;

The weights W of i-th index in described user power utilization energy efficiency evaluation index system _{2, i}, formula is:

$W_{2j}=\frac{(1-e_i)}{\underset{i=1}{\overset{n}{\Σ}}(1-e_i)}---\left(9\right).$

Preferably, in described step (4), if t grade of described user power utilization efficiency is P _t, t ∈ [1, z], z are the total number of grades of described user power utilization efficiency;

Set up the matter-element Classical field R of described user power utilization efficiency _t, formula is:

$R_t=(P_t,C_i,V_{it})=\left[\begin{array}{ccc}{P}_t& c_1& v_{1t}\\ & \mathrm{...}& \mathrm{...}\\ & c_i& v_{it}\\ & \mathrm{...}& \mathrm{...}\\ & c_n& v_{nt}\end{array}\right]=\left[\begin{array}{ccc}{P}_t& c_1& (a_{1t},b_{1t})\\ & \mathrm{...}& \mathrm{...}\\ & c_i& (a_{it},b_{it})\\ & \mathrm{...}& \mathrm{...}\\ & c_n& (a_{nt},b_{nt})\end{array}\right]---\left(10\right)$

In formula (10), P _tfor t grade of described user power utilization efficiency, C _ifor the set of n index of described user power utilization efficiency, c _ifor C _iin i-th index, V _itfor P _tc under grade _ithe span that middle index is corresponding, v _it=(a _it, b _it) be P _tc under grade _imiddle index c _icorresponding span, wherein, a _itfor P _tc under grade _imiddle index c _icorresponding higher limit, b _itfor P _tc under grade _imiddle index c _icorresponding lower limit, n is the index sum of described user power utilization efficiency;

Set up the matter-element joint territory R of described user power utilization efficiency _p, formula is:

$R_P=(P,C_i,V_{iP})=\left[\begin{array}{ccc}P& c_1& v_{1P}\\ & \mathrm{...}& \mathrm{...}\\ & c_i& v_{iP}\\ & \mathrm{...}& \mathrm{...}\\ & c_n& v_{nP}\end{array}\right]=\left[\begin{array}{ccc}P& c_1& (a_{1P},b_{1P})\\ & \mathrm{...}& \mathrm{...}\\ & c_i& (a_{iP},b_{iP})\\ & \mathrm{...}& \mathrm{...}\\ & c_n& (a_{nP},b_{nP})\end{array}\right]---\left(11\right)$

In formula (11), P is whole class set of described user power utilization efficiency, V _iPfor C under whole grade _ithe span that middle index is corresponding, v _iP=(a _iP, b _iP) be C under whole grade _imiddle index c _icorresponding span, wherein, a _iPfor C under whole grade _imiddle index c _icorresponding higher limit, b _iPfor C under whole grade _imiddle index c _icorresponding lower limit.

Preferably, in described step (5), determine user power utilization efficiency scale value R to be measured ₀with the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tapproach degree K _t(R ₀), formula is:

$K_t\left(R_0\right)=1-\frac{1}{n(n+1)}\underset{i=1}{\overset{n}{\Σ}}{D}_t\left(v_i\right)W_i---\left(12\right)$

In formula (12), t ∈ [1, z], z are the total number of grades of described user power utilization efficiency, and i ∈ [1, n], n are index sum in described user power utilization energy efficiency evaluation index system, W _ifor the combining weights of i-th index in described user power utilization efficiency to be measured, v _ifor user power utilization efficiency scale value R to be measured ₀in the value of i-th index, D _t(v _i) be user power utilization efficiency scale value R to be measured ₀in the value v of i-th index _iwith the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tin the span v of i-th index _itexchange premium degree, formula is:

$D_t\left(v_i\right)=\left\{\begin{array}{cc}{v}_i-v_{it}& v_i\∈v_{it}\\ |v_i-\frac{1}{2}(a_{it}+b_{it})|-\frac{1}{2}(b_{it}-a_{it})& v_i\∉v_{it}\end{array}\right.---\left(13\right)$

In formula (13), a _itfor the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tin the higher limit of i-th index, b _itfor the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tin the lower limit of i-th index;

Obtain max{K _t(R ₀), then the grade of described user power utilization efficiency is P _t, P _tfor t grade of described user power utilization efficiency.

Further, make for:

${\stackrel{\‾}{K}}_t\left(R_0\right)=\frac{{\stackrel{\‾}{K}}_t\left(R_0\right)-\underset{t}{\min }{\stackrel{\‾}{K}}_t\left(R_0\right)}{\underset{t}{\max }{\stackrel{\‾}{K}}_t\left(R_0\right)-\underset{t}{\min }{\stackrel{\‾}{K}}_t\left(R_0\right)}---\left(14\right)$

In formula (14), K _t(R ₀) be user power utilization efficiency scale value R to be measured ₀with the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tapproach degree;

Then the formula of the degree t ' of the deflection adjacent rank of described user power utilization efficiency to be measured is:

$t^{\′}=\frac{\underset{t=1}{\overset{z}{\Σ}}t{\stackrel{\‾}{K}}_t\left(R_0\right)}{\underset{t=1}{\overset{z}{\Σ}}{\stackrel{\‾}{K}}_t\left(R_0\right)}---\left(15\right).$

Compared with immediate prior art, the beneficial effect that the present invention has:

A kind of user power utilization energy efficiency evaluating method provided by the invention, object is to use the large data of energy according to user, establish comprehensive user power utilization energy efficiency evaluation index system, Evaluation formula is adopted to carry out tax power to index system, to balance the impact of subjective and objective factor, adopt Element Extension Model to carry out grade classification to the overall efficiency of user and each energy efficiency indexes, realize the energy efficiency evaluation to each aspect of user, for carrying out energy management, development of latent energy-saving potential provides foundation.

Accompanying drawing explanation

Fig. 1 is a kind of user power utilization energy efficiency evaluating method process flow diagram provided by the invention;

Fig. 2 is user power utilization energy efficiency evaluation architectural schematic in the embodiment of the present invention.

Embodiment

Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail.

For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.

The invention provides a kind of user power utilization energy efficiency evaluating method, as shown in Figure 1, comprising:

(1) according to user power utilization information, user power utilization energy efficiency evaluation index system is determined;

(2) each index in described user power utilization energy efficiency evaluation index system is carried out nondimensionalization process;

(3) combining weights of each index in described user power utilization energy efficiency evaluation index system is obtained;

(4) set up user power utilization efficiency and improve Element Extension Model;

(5) user power utilization efficiency to be evaluated is evaluated.

Concrete, in described step (1), user power utilization energy efficiency evaluation index system comprises: comprehensive energy consumption index, energy consumption system index, production information index and power quality index, wherein, described comprehensive energy consumption index comprises: comparable comprehensive energy consumption index, comparable comprehensive indicator of power consumption and comparable substep energy consumption index, described energy consumption system index comprises: energy efficiency of equipment index, plant factor index, equipment failure rate index, apparatus of load rate index and energy conversion utilize index, described production information index comprises: production shift arranges index, workman's technical merit index, product percent of pass index, service arrangement index and demand response participate in index, described power quality index comprises: voltage deviation index, imbalance of three-phase voltage index, power supply reliability index and harmonic wave index.

Such as, as shown in Figure 2, comprehensive energy consumption is the macro-indicators of reflection user efficiency, is one of index of user's frequent statistics in actual production, comprises comprehensive energy consumption and substep energy consumption as " to mark ".Because of the factor such as geographic position and environment, often need to become comparable energy consumption by correction factor.Different industries also has corresponding national energy consumption standard, comprises advanced person's value of limit value, newly-built access value and recommendation; Comparable comprehensive energy consumption: the various energy producing product consumption per ton within the statistics phase amount to into the comprehensive energy consumption of standard coal equivalent after the factor correction such as height above sea level.Comparable comprehensive power consumption: the electric energy producing product consumption per ton within the statistics phase amounts to into the comprehensive power consumption of standard coal equivalent after the factor correction such as height above sea level.Comparable substep energy consumption: the various energy that a certain production link produces product consumption per ton within the statistics phase amount to into the comprehensive energy consumption of standard coal equivalent after the factor correction such as height above sea level.

Energy consumption system is the efficiency level of having reacted user from equipment aspect.Comprise energy efficiency of equipment index, plant factor index, equipment failure rate index, apparatus of load rate index and user energy conversion utilize.The number percent of front four index available facility capacity is weighed, and the energy conversion of user utilizes and refers to the Multi-class propagation of energy and the use of new forms of energy in production, as cogeneration, provides photovoltaic power plant for oneself.Energy efficiency of equipment index refers to that dissimilar equipment sets up Energy Efficiency Analysis model according to corresponding national standard, calculates its efficiency by the real-time running data of equipment, as shown in table 1, adds up different efficiency grade equipment volume ratio with reference to national standard;

Table 1 energy efficiency of equipment grade is added up

Efficiency grade	1 grade	2 grades	3 grades	Less than 3 grades
					Volume percent	r 1	r 2	r 3	r 4

Then the efficiency level calculation formula of subscriber equipment entirety is: c ₁=r ₁× 1+r ₂× 0.8+r ₃× 0.6+r ₄× 0.4, wherein, 1,0.8,0.6,0.4 is nondimensionalization coefficient, c ₁for the overall efficiency level of subscriber equipment.

Plant factor index: refer to that in the statistics phase, operational outfit capacity accounts for the number percent of subscriber equipment total volume.

Equipment failure rate index: refer to that the capacity of statistics phase internal cause fault outaged equipment and the product of idle time account for the number percent of total operational outfit capacity and total run time product in the statistics phase, formula is:

${\mathrm{\η}}_1=\frac{\underset{i=1}{\overset{n}{\Σ}}{Q}_{fi}\×t_{fi}}{\underset{j=1}{\overset{n}{\Σ}}{Q}_j\×t_j}\×100\%$

Wherein, η ₁for equipment failure rate index, i ∈ [1, n], n are the equipment the broken down sum in the statistics phase, Q _fibe the capacity of the equipment that i-th is broken down, t _fibe the fault duration of the equipment that i-th is broken down, j ∈ [1, m], m are the normal equipment sum run in the statistics phase, Q _jfor the capacity of a jth normal equipment run, t _jfor the operation duration of a jth normal equipment run;

Apparatus of load rate index: the number percent referring to subscriber equipment actual loading average and nominal load in the statistics phase, formula is:

${\mathrm{\η}}_2=\frac{\underset{i=1}{\overset{m}{\Σ}}{\stackrel{\‾}{Q}}_i}{\underset{i=1}{\overset{m}{\Σ}}{Q}_{Ni}}\×100\%$

Wherein, η ₂for apparatus of load rate index, i ∈ [1, n], n are equipment sum, the load factor average of i-th equipment within the statistics phase, Q _niit is the rated capacity of i-th equipment;

Energy conversion utilizes index: can take family total electricity consumption number percent with finger statistics Qi Nei power plant for self-supply generated energy and represent, formula is:

${\mathrm{\η}}_3=\frac{W_2}{W_1+W_2}\×100\%$

Wherein, η ₃for energy conversion utilizes index, W ₁represent user's purchase of electricity, W ₂represent the conversion electricity of its complementary energy in user's production run.

C. production information

Production information refers to the condition of production of user.Comprise production shift, workman's technical merit, product percent of pass, service arrangement and demand response to participate in.The arrangement of production shift embodies the continuity of user's energy, and the efficiency of usual consecutive production is higher; The efficiency of technical merit to user of workman also has certain influence, and by investigation and to the analysis by energy data, the energy consumption level between different order of classes or grades at school presents relatively-stationary difference; Product percent of pass then represents the useful output of user; Service arrangement and demand response participate in situation then has impact to the continuous production of user.

Production shift arranges index: refer to that the duration that goes into operation of user in the statistics phase accounts for the number percent of statistics phase total duration.

Workman's technical merit index is weighed by following formula:

$\mathrm{\δ}=\frac{max\left(E_i\right)-min\left(E_i\right)}{max\left(E_i\right)}\×100\%$

Wherein, δ is workman's technical merit index, E _irepresent the average energy consumption level of order of classes or grades at school i in the statistics phase, i ∈ [1, n], n produce order of classes or grades at school for user;

Product percent of pass index: refer to that the passing number that institute in the statistics phase produces product accounts for the total number percent of production.

Service arrangement index is weighed by following formula:

$\mathrm{\γ}=\frac{t_2}{t_1+t_2}\×100\%$

Wherein, γ is service arrangement index, t ₁for operating time in the statistics phase, t ₂for overhauling duration in the statistics phase;

Demand response participates in index and is weighed by following formula:

$\left\{\begin{array}{c}\mathrm{\μ}=\underset{i=1}{\overset{n}{\Σ}}{P}_i\×T_i\\ P_i=\frac{{\mathrm{\ΔP}}_i}{P_0}\×100\%\\ T_i=\frac{t_i^{\′}}{t_1}\×100\%\end{array}\right.$

Wherein, μ is that demand response participates in index metric, i=1,2 ..., n represents that in the statistics phase, user participates in demand response number of times.P _irepresent and participate in demand response load changing rate, Δ P _irepresent and participate in demand response load, P ₀for the average load amount of full production in the statistics phase, T _irepresent and participate in demand response duration number percent, t ₁for operating time in the statistics phase, t _i' represent participation demand response duration.

The quality of power supply: the work efficiency of subscriber equipment and serviceable life are all to some extent by electric energy quality influence.Square being directly proportional of the maximum electromagnetic torque of asynchronous motor and terminal voltage, if voltage reduces too much, motor may out of servicely maybe cannot start; When power supply-distribution system is in imbalance of three-phase voltage state, all can comprise a large amount of negative sequence component in voltage, electric current, negative-sequence current can produce additional power losses, therefore can strengthen the total losses of circuit, reduces the economical operation of electric system; The unplanned power failure of user then can affect the normal continuities production of user, causes damage, also have harmful effect to product quality, output to equipment; During harmonic excess, the safe and stable operation of meeting serious threat distribution system, also can increase electric power the loss of transformer greatly, reduce the effective output of transformer, especially, under energy-saving and cost-reducing overall background, the use of controllable rectifying device, RHVC is had higher requirement to the quality of power supply.Therefore the efficiency level of the quality of power supply also remote effect user.

Voltage deviation index: refer to that the deviation relative value of actual motion voltage to nominal voltage of a system represents with number percent.

Imbalance of three-phase voltage index: refer to unbalanced degree in three-phase electrical power system.Represent with the root-mean-square valve number percent of voltage negative phase-sequence fundametal compoment and positive sequence fundametal compoment.

Power supply reliability index: the number percent of power supply duration and total duration in the statistics phase.

Harmonic wave index: refer to that the root-mean-square valve of i-th h time m-Acetyl chlorophosphonazo component contained in periodicity of ac represents with percentage with the ratio of the root-mean-square valve of fundametal compoment.

When evaluating multifactor multi objective system, need suitably to process each index, make it to turn to the substantially close dimensionless number certificate of the order of magnitude, usual achievement data is divided into three kinds: (1) large index: desired value is the bigger the better; As indexs such as energy efficiency of equipment index, plant factor index, energy conversion utilization, production shift, workman's technical merit, product percents of pass.(2) minimal type index: desired value is the smaller the better; As indexs such as comparable comprehensive energy consumption, comparable comprehensive power consumption, comparable substep energy consumption, equipment failure rate, service arrangement, demand response participation, voltage deviation, imbalance of three-phase voltage, harmonic waves.(3) fixed index: desired value is more better close to certain fixed value, as apparatus of load rate index.Pointer type is different, and disposal route is also different; In described step (2), large index, minimal type index and fixed index are divided into each index in described user power utilization energy efficiency evaluation index system, if described index is large index, then described index is carried out nondimensionalization process, formula is:

$x^{\′}=\frac{x-x_{min}}{x_{max}-x_{min}}---\left(1\right)$

In formula (1), x ' is index without guiding principle quantized value, and x is desired value, x _minfor index lower limit, x _maxfor index higher limit;

If described index is minimal type index, then described index is carried out nondimensionalization process, formula is:

$x^{\′}=\frac{x_{max}-x}{x_{max}-x_{min}}---\left(2\right)$

If described index is fixed index, then described index is carried out nondimensionalization process, formula is:

$x^{\′}=1-\frac{\left|x-\mathrm{\γ}\right|}{\mathrm{\γ}}---\left(3\right)$

In formula (3), γ is the best fixed value of desired value x.

Described step (3) comprising:

(3-1) analytical hierarchy process is adopted to obtain the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{1, i};

Wherein, described employing analytical hierarchy process obtains the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{1, i}, comprising:

Set up the judgment matrix X of each index in described user power utilization energy efficiency evaluation index system, formula is:

$X=\left[\begin{array}{ccc}{x}_{1,1}& \mathrm{...}& x_{1,n}\\ \mathrm{...}& \mathrm{...}& \mathrm{...}\\ x_{n,1}& \mathrm{...}& x_{n,n}\end{array}\right]---\left(5\right)$

Wherein, described judgment matrix X is n × n matrix, and n is index sum in described user power utilization energy efficiency evaluation index system, and in described matrix X, the element of the i-th row jth row is a _i,j, i, j ∈ [1, n], x _i,jfor the significance level of i-th index and a jth index in described user power utilization energy efficiency evaluation index system, such as, as shown in table 2:

Table 2x _i,jvalue table

Value	Implication
		1	Represent that two indices is compared, there is equal importance
3	Represent that two indices is compared, the former is slightly more important than the latter
		5	Represent that two indices is compared, the former is more obvious than the latter important
7	Represent that two indices is compared, the former is stronger than the latter important
		9	Represent that two indices is compared, the former is extremely more important than the latter
2,4,6,8	Represent the intermediate value of above-mentioned adjacent judgement
		Reciprocal	If index i is a with the ratio of the importance of index j ij, then index j is a with the ratio of the importance of index i ji＝1/a ij

The weights W of i-th index in described user power utilization energy efficiency evaluation index system _{1, i}, formula is:

$W_{1,i}=\frac{1}{n}\underset{j=1}{\overset{n}{\Σ}}\frac{x_{i,j}}{\underset{k=1}{\overset{n}{\Σ}}{x}_{k,j}}---\left(6\right)$

In formula (6), x _k,jfor the significance level of a kth index and a jth index in described user power utilization energy efficiency evaluation index system, k ∈ [1, n].

(3-2) entropy assessment is adopted to obtain the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{2, i};

Wherein, described employing entropy assessment obtains the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{2, i}, comprising:

Determine i-th index y of s user _s,iproportion p _s,i, formula is:

$p_{s,i}=\frac{y_{s,i}}{\underset{s=1}{\overset{m}{\Σ}}{y}_{s,i}}---\left(7\right)$

In formula (7), s ∈ [1, m], m are total number of users, and i ∈ [1, n], n are index sum in described user power utilization energy efficiency evaluation index system;

Determine the entropy e of i-th index _i, formula is:

$e_i=-k\underset{s=1}{\overset{m}{\Σ}}{p}_{s,i}\·ln{p}_{s,i}---\left(8\right)$

In formula (8), k=1/lnm;

The weights W of i-th index in described user power utilization energy efficiency evaluation index system _{2, i}, formula is:

$W_{2,i}=\frac{(1-e_i)}{\underset{i=1}{\overset{n}{\Σ}}(1-e_i)}---\left(9\right).$

(3-3) the combining weights W of i-th index in described user power utilization energy efficiency evaluation index system is determined _i, formula is:

$W_i=\frac{W_{1,i}\·W_{2,i}}{\underset{i=1}{\overset{n}{\Σ}}{W}_{1,i}\·W_{2,i}}---\left(4\right)$

In formula (4), i ∈ [1, n], n are index sum in described user power utilization energy efficiency evaluation index system.

In described step (4), if t grade of described user power utilization efficiency is P _t, t ∈ [1, z], z are the total number of grades of described user power utilization efficiency;

Set up the matter-element Classical field R of described user power utilization efficiency _t, formula is:

$R_t=(P_t,C_i,V_{it})=\left[\begin{array}{ccc}{P}_t& c_1& v_{1t}\\ & \mathrm{...}& \mathrm{...}\\ & c_i& v_{it}\\ & \mathrm{...}& \mathrm{...}\\ & c_n& v_{nt}\end{array}\right]=\left[\begin{array}{ccc}{P}_t& c_1& (a_{1t},b_{1t})\\ & \mathrm{...}& \mathrm{...}\\ & c_i& (a_{it},b_{it})\\ & \mathrm{...}& \mathrm{...}\\ & c_n& (a_{nt},b_{nt})\end{array}\right]---\left(10\right)$

In formula (10), P _tfor t grade of described user power utilization efficiency, C _ifor the set of n index of described user power utilization efficiency, c _ifor C _iin i-th index, V _itfor P _tc under grade _ithe span that middle index is corresponding, v _it=(a _it, b _it) be P _tc under grade _imiddle index c _icorresponding span, wherein, a _itfor P _tc under grade _imiddle index c _icorresponding higher limit, b _itfor P _tc under grade _imiddle index c _icorresponding lower limit, n is the index sum of described user power utilization efficiency;

Set up the matter-element joint territory R of described user power utilization efficiency _p, formula is:

$R_P=(P,C_i,V_{iP})=\left[\begin{array}{ccc}P& c_1& v_{1P}\\ & \mathrm{...}& \mathrm{...}\\ & c_i& v_{iP}\\ & \mathrm{...}& \mathrm{...}\\ & c_n& v_{nP}\end{array}\right]=\left[\begin{array}{ccc}P& c_1& (a_{1P},b_{1P})\\ & \mathrm{...}& \mathrm{...}\\ & c_i& (a_{iP},b_{iP})\\ & \mathrm{...}& \mathrm{...}\\ & c_n& (a_{nP},b_{nP})\end{array}\right]---\left(11\right)$

In formula (11), P is whole class set of described user power utilization efficiency, V _iPfor C under whole grade _ithe span that middle index is corresponding, v _iP=(a _iP, b _iP) be C under whole grade _imiddle index c _icorresponding span, wherein, a _iPfor C under whole grade _imiddle index c _icorresponding higher limit, b _iPfor C under whole grade _imiddle index c _icorresponding lower limit.

In described step (5), determine user power utilization efficiency scale value R to be measured ₀with the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tapproach degree K _t(R ₀), formula is:

$K_t\left(R_0\right)=1-\frac{1}{n(n+1)}\underset{i=1}{\overset{n}{\Σ}}{D}_t\left(v_i\right)W_i---\left(12\right)$

In formula (12), t ∈ [1, z], z are the total number of grades of described user power utilization efficiency, and i ∈ [1, n], n are index sum in described user power utilization energy efficiency evaluation index system, W _ifor the combining weights of i-th index in described user power utilization efficiency to be measured, v _ifor user power utilization efficiency scale value R to be measured ₀in the value of i-th index, D _t(v _i) be user power utilization efficiency scale value R to be measured ₀in the value v of i-th index _iwith the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tin the span v of i-th index _itexchange premium degree, formula is:

$D_t\left(v_i\right)=\left\{\begin{array}{cc}{v}_i-v_{it}& v_i\∈v_{it}\\ |v_i-\frac{1}{2}(a_{it}+b_{it})|-\frac{1}{2}(b_{it}-a_{it})& v_i\∉v_{it}\end{array}\right.---\left(13\right)$

In formula (13), a _itfor the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tin the higher limit of i-th index, b _itfor the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tin the lower limit of i-th index;

Obtain max{K _t(R ₀), then the grade of described user power utilization efficiency is P _t, P _tfor t grade of described user power utilization efficiency.

Further, make for:

${\stackrel{\‾}{K}}_t\left(R_0\right)=\frac{{\stackrel{\‾}{K}}_t\left(R_0\right)-\underset{t}{\min }{\stackrel{\‾}{K}}_t\left(R_0\right)}{\underset{t}{\max }{\stackrel{\‾}{K}}_t\left(R_0\right)-\underset{t}{\min }{\stackrel{\‾}{K}}_t\left(R_0\right)}---\left(14\right)$

In formula (14), K _t(R ₀) be user power utilization efficiency scale value R to be measured ₀with the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tapproach degree;

Then the formula of the degree t ' of the deflection adjacent rank of described user power utilization efficiency to be measured is:

$t^{\′}=\frac{\underset{t=1}{\overset{z}{\Σ}}t{\stackrel{\‾}{K}}_t\left(R_0\right)}{\underset{t=1}{\overset{z}{\Σ}}{\stackrel{\‾}{K}}_t\left(R_0\right)}---\left(15\right).$

Finally should be noted that: above embodiment is only in order to illustrate that technical scheme of the present invention is not intended to limit; although with reference to above-described embodiment to invention has been detailed description; those of ordinary skill in the field are to be understood that: still can modify to the specific embodiment of the present invention or equivalent replacement; and not departing from any amendment of spirit and scope of the invention or equivalent replacement, it all should be encompassed within claims of the present invention.

Claims (9)

1. a user power utilization energy efficiency evaluating method, is characterized in that, described method comprises:

(1) according to user power utilization information, user power utilization energy efficiency evaluation index system is determined;

(2) each index in described user power utilization energy efficiency evaluation index system is carried out nondimensionalization process;

(3) combining weights of each index in described user power utilization energy efficiency evaluation index system is obtained;

(4) set up user power utilization efficiency and improve Element Extension Model;

(5) user power utilization efficiency to be evaluated is evaluated.

2. the method for claim 1, it is characterized in that, in described step (1), user power utilization energy efficiency evaluation index system comprises: comprehensive energy consumption index, energy consumption system index, production information index and power quality index, wherein, described comprehensive energy consumption index comprises: comparable comprehensive energy consumption index, comparable comprehensive indicator of power consumption and comparable substep energy consumption index, described energy consumption system index comprises: energy efficiency of equipment index, plant factor index, equipment failure rate index, apparatus of load rate index and energy conversion utilize index, described production information index comprises: production shift arranges index, workman's technical merit index, product percent of pass index, service arrangement index and demand response participate in index, described power quality index comprises: voltage deviation index, imbalance of three-phase voltage index, power supply reliability index and harmonic wave index.

3. the method for claim 1, it is characterized in that, in described step (2), large index, minimal type index and fixed index are divided into each index in described user power utilization energy efficiency evaluation index system, if described index is large index, then described index is carried out nondimensionalization process, formula is:

$x^{\′}=\frac{x-x_{min}}{x_{max}-x_{\min }}---\left(1\right)$

In formula (1), x ' is index without guiding principle quantized value, and x is desired value, x _minfor index lower limit, x _maxfor index higher limit;

If described index is minimal type index, then described index is carried out nondimensionalization process, formula is:

$x^{\′}=\frac{x_{max}-x}{x_{max}-x_{\min }}---\left(2\right)$

If described index is fixed index, then described index is carried out nondimensionalization process, formula is:

$x^{\′}=1-\frac{|x-\mathrm{\γ}|}{\mathrm{\γ}}---\left(3\right)$

In formula (3), γ is the best fixed value of desired value x.

4. the method for claim 1, is characterized in that, described step (3) comprising:

(3-1) analytical hierarchy process is adopted to obtain the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{1, i};

(3-2) entropy assessment is adopted to obtain the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{2, i};

(3-3) the combining weights W of i-th index in described user power utilization energy efficiency evaluation index system is determined _i, formula is:

$W_i=\frac{W_{1,i}\·W_{2,i}}{\underset{i=1}{\overset{n}{\Σ}}{W}_{1,i}\·W_{2,i}}---\left(4\right)$

In formula (4), i ∈ [1, n], n are index sum in described user power utilization energy efficiency evaluation index system.

5. method as claimed in claim 4, it is characterized in that, described employing analytical hierarchy process obtains the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{1, i}, comprising:

Set up the judgment matrix X of each index in described user power utilization energy efficiency evaluation index system, formula is:

$X=\left[\begin{array}{ccc}{x}_{1,1}& ...& x_{1,n}\\ ...& ...& ...\\ x_{n,1}& ...& x_{n,n}\end{array}\right]---\left(5\right)$

Wherein, described judgment matrix X is n × n matrix, and n is index sum in described user power utilization energy efficiency evaluation index system, and in described matrix X, the element of the i-th row jth row is a _i,j, i, j ∈ [1, n], x _i,jfor the significance level of i-th index and a jth index in described user power utilization energy efficiency evaluation index system;

The weights W of i-th index in described user power utilization energy efficiency evaluation index system _{1, i}, formula is:

$W_{1,i}=\frac{1}{n}\underset{j=1}{\overset{n}{\Σ}}\frac{x_{i,j}}{\underset{k=1}{\overset{n}{\Σ}}{x}_{k,j}}---\left(6\right)$

In formula (6), x _k,jfor the significance level of a kth index and a jth index in described user power utilization energy efficiency evaluation index system, k ∈ [1, n].

6. method as claimed in claim 4, it is characterized in that, described employing entropy assessment obtains the weights W of i-th index in described user power utilization energy efficiency evaluation index system _{2, i}, comprising:

Determine i-th index y of s user _s,iproportion p _s,i, formula is:

$p_{s,i}=\frac{y_{s,i}}{\underset{s=1}{\overset{m}{\Σ}}{y}_{s,i}}---\left(7\right)$

In formula (7), s ∈ [1, m], m are total number of users, and i ∈ [1, n], n are index sum in described user power utilization energy efficiency evaluation index system;

Determine the entropy e of i-th index _i, formula is:

$e_i=-k\underset{s=1}{\overset{m}{\Σ}}{p}_{s,i}\·\ln p_{s,i}---\left(8\right)$

In formula (8), k=1/lnm;

The weights W of i-th index in described user power utilization energy efficiency evaluation index system _{2, i}, formula is:

$W_{2,i}=\frac{(1-e_i)}{\underset{i=1}{\overset{n}{\Σ}}(1-e_i)}---\left(9\right).$

7. the method for claim 1, is characterized in that, in described step (4), if t grade of described user power utilization efficiency is P _t, t ∈ [1, z], z are the total number of grades of described user power utilization efficiency;

Set up the matter-element Classical field R of described user power utilization efficiency _t, formula is:

$R_t=(P_t,C_i,V_{it})=\left[\begin{array}{ccc}{P}_t& c_1& v_{1t}\\ & ...& ...\\ & c_i& v_{it}\\ & ...& ...\\ & c_n& v_{nt}\end{array}\right]=\left[\begin{array}{ccc}{P}_t& c_1& (a_{1t},b_{1t})\\ & ...& ...\\ & c_i& (a_{it},b_{it})\\ & ...& ...\\ & c_n& (a_{nt},b_{nt})\end{array}\right]---\left(10\right)$

In formula (10), P _tfor t grade of described user power utilization efficiency, C _ifor the set of n index of described user power utilization efficiency, c _ifor C _iin i-th index, V _itfor P _tc under grade _ithe span that middle index is corresponding, v _it=(a _it, b _it) be P _tc under grade _imiddle index c _icorresponding span, wherein, a _itfor P _tc under grade _imiddle index c _icorresponding higher limit, b _itfor P _tc under grade _imiddle index c _icorresponding lower limit, n is the index sum of described user power utilization efficiency;

Set up the matter-element joint territory R of described user power utilization efficiency _p, formula is:

$R_P=(P,C_i,V_{iP})=\left[\begin{array}{ccc}{P}_t& c_1& v_{1P}\\ & ...& ...\\ & c_i& v_{iP}\\ & ...& ...\\ & c_n& v_{nP}\end{array}\right]=\left[\begin{array}{ccc}{P}_t& c_1& (a_{1P},b_{1P})\\ & ...& ...\\ & c_i& (a_{iP},b_{iP})\\ & ...& ...\\ & c_n& (a_{nP},b_{nP})\end{array}\right]---\left(11\right)$

In formula (11), P is whole class set of described user power utilization efficiency, V _iPfor C under whole grade _ithe span that middle index is corresponding, v _iP=(a _iP, b _iP) be C under whole grade _imiddle index c _icorresponding span, wherein, a _iPfor C under whole grade _imiddle index c _icorresponding higher limit, b _iPfor C under whole grade _imiddle index c _icorresponding lower limit.

8. the method for claim 1, is characterized in that, in described step (5), determines user power utilization efficiency scale value R to be measured ₀with the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tapproach degree K _t(R ₀), formula is:

$K_t\left(R_0\right)=1-\frac{1}{n(n+1)}\underset{i=1}{\overset{n}{\Σ}}{D}_t\left(v_i\right)W_i---\left(12\right)$

In formula (12), t ∈ [1, z], z are the total number of grades of described user power utilization efficiency, and i ∈ [1, n], n are index sum in described user power utilization energy efficiency evaluation index system, W _ifor the combining weights of i-th index in described user power utilization efficiency to be measured, v _ifor user power utilization efficiency scale value R to be measured ₀in the value of i-th index, D _t(v _i) be user power utilization efficiency scale value R to be measured ₀in the value v of i-th index _iwith the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tin the span v of i-th index _itexchange premium degree, formula is:

$D_t\left(v_i\right)=\left\{\begin{array}{cc}{v}_i-v_{it}& v_i\∈v_{it}\\ |v_i-\frac{1}{2}(a_{it}+b_{it})|-\frac{1}{2}(b_{it}-a_{it})& v_i\∉v_{it}\end{array}\right.---\left(13\right)$

In formula (13), a _itfor the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tin the higher limit of i-th index, b _itfor the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tin the lower limit of i-th index;

Obtain max{K _t(R ₀), then the grade of described user power utilization efficiency is P _t, P _tfor t grade of described user power utilization efficiency.

9. method as claimed in claim 8, is characterized in that, order for:

${\stackrel{\‾}{K}}_t\left(R_0\right)=\frac{{\stackrel{\‾}{K}}_t\left(R_0\right)-\underset{t}{min}{\stackrel{\‾}{K}}_t\left(R_0\right)}{\underset{t}{\max }{\stackrel{\‾}{K}}_t\left(R_0\right)-\underset{t}{min}{\stackrel{\‾}{K}}_t\left(R_0\right)}---\left(14\right)$

In formula (14), K _t(R ₀) be user power utilization efficiency scale value R to be measured ₀with the matter-element Classical field R of the user power utilization efficiency of t grade in described user power utilization efficiency Element Extension Model _tapproach degree;

Then the formula of the degree t ' of the deflection adjacent rank of described user power utilization efficiency to be measured is:

$t^{\′}=\frac{\underset{t=1}{\overset{z}{\Σ}}t{\stackrel{\‾}{K}}_t\left(R_0\right)}{\underset{t=1}{\overset{z}{\Σ}}{\stackrel{\‾}{K}}_t\left(R_0\right)}---\left(15\right).$