CN103544541A - Carbon emission reduction evaluation and calculation method for intelligent power distribution and utilization system - Google Patents

Abstract

A carbon emission reduction evaluation and calculation method for an intelligent power distribution and utilization system includes the steps of making an evaluation technology route relating to the feature capacity of carbon emission reduction promotion (low-carbon capacity for short) and low-carbon benefit, creating an evaluation method for carbon emission reduction promotion by power supply optimization of the intelligent power distribution and utilization system, creating an evaluation method for carbon emission reduction promotion by power distribution network efficacy enhancement of the intelligent power distribution and utilization system, creating an evaluation method for carbon emission reduction promotion by energy saving of the intelligent power distribution and utilization system, creating an evaluation method for carbon emission reduction promotion by load shaping of the intelligent power distribution and utilization system, and creating an evaluation method for accumulated comprehensive benefits of carbon emission reduction promotion of the intelligent power distribution and utilization system. With the method, an intelligent power distribution and utilization system low-carbon benefit evaluation system is built and covers all related links and elements involving carbon emission reduction of the intelligent power distribution and utilization system, low-carbon benefit overlapping caused by electrical coupling and effect coupling is avoided, and thus, quantity of carbon emission reduction achieved by the intelligent power distribution and utilization system can be calculated accurately. The method is applicable to evaluation and calculation of carbon emission reduction of the intelligent power distribution and utilization system.

Description

Intelligence adapted electric system carbon emission reduction is evaluated and measuring method

Technical field

The present invention relates to a kind of intelligent adapted electric system carbon emission reduction evaluation and measuring method, belong to low-carbon (LC) electric power and intelligent distribution network field.

Background technology

Intelligence adapted electric system is at power distribution network, to introduce advanced sensing, communication and control technology, be incorporated to all kinds of novel distributed power sources, electric automobile, controlled energy storage device and controllable burden, with flexible, the intelligent interactive method of operation, make the coordinated operation of all kinds of technology phase, be the implication of intelligent adapted electric system.Intelligence adapted electric system main target is the coordinate operation realizing between power consumer and power distribution network, and guiding power consumer utilizes electric energy and carbon resource more efficiently, reduces carbon emission, thereby promotes to form whole low-carbon (LC) electric system.

Low-carbon (LC) benefit (for example: intelligent adapted electric system) (for example: the carbon emission reduction in the scope in the whole society conventional adapted electric system) realizing compare frame of reference under preset time and Statistical Criteria refers to target area or system.For intelligent adapted electric system, can be divided into low-carbon (LC) benefit based on electric system and the low-carbon (LC) benefit of non-electricity system.Low-carbon (LC) benefit based on electric system is defined as target area or system and compares the generate electricity carbon emission reduction of link of frame of reference under preset time and Statistical Criteria.This kind of benefit is mainly derived from power supply architecture and generation technology optimizing and revising towards low-carbon (LC) in electric system.Comprise low-carbon energy generating, damage falls in electrical network, and energy-saving electricity and rate of load condensate promote; The low-carbon (LC) benefit of non-electricity system is defined as target area or system by apply suitable low-carbon (LC) power technology and low-carbon (LC) ladder of management except realizing low-carbon emission reduction in electric system, also can in other industry or system, produce low-carbon (LC) benefit.In some cases, the improvement of generation technology and multiplexe electric technology may not produce low-carbon (LC) benefit in electric system, even increased the carbon emission of electric system, but the low-carbon (LC) benefit producing in other industry or system is higher than the carbon emission increasing in electric system, the low-carbon (LC) benefit of consequent whole society aspect.The low-carbon (LC) benefit that for example application of electric vehicle engineering brings.

Intelligence adapted electric system can promote the relevant new technique of low carbon development by extensive infiltration in traditional power distribution network, then realizes the matching coordinative of multiple technologies, realizes electric system in the low-carbon (LC) benefit of adapted electricity link.But, owing to often there being the relation intercoupling in power industry chain, while making assessment measuring and calculating, face the overlapping problem of effect low-carbon (LC) benefit, therefore need to take into full account before reality measuring and calculating, the assessment measuring and calculating framework that the science of setting up is complete, evade benefit overlapping, simultaneously the core contribution point of outstanding intelligent adapted electric system in promoting carbon emission reduction.

Accordingly, some important channels that intelligent adapted electric system promotion carbon emission reduction is concluded in screening have: promotion distributed energy develops, promotes electric automobile and energy storage technology development, reduction losses of distribution network, user interaction is energy-conservation and peak falls in user interaction, and these approach are referred to as to individual event low-carbon (LC) ability.When analyzing intelligent adapted electric system overall situation low-carbon (LC) ability, we need to consider the coupling matching relationship between each individual event low-carbon (LC) ability, for example: user interaction will be realized the decline of overall electricity needs, and the development of electric automobile will promote overall electricity needs, both are coupled overlapping, and acting in conjunction embodies energy-conservation integration capability; The high crest segment charging of peak energy power, the energy-conservation ability of user interaction and electric automobile falls in user interaction all will affect user's maximum load demand, and first two contribute to cut down user's side maximum load, and the 3rd will promote maximum load.Therefore need on the basis of above individual event ability, further extract some integration capabilities, finally form power supply optimization, electrical network synergy, user is energy-conservation and has loaded four comprehensive low-carbon (LC) abilities of shaping.These four comprehensive low-carbon (LC) abilities are completely different on mechanism of action, therefore these four integration capabilities are mutual decoupling zeros, particularly: power supply Optimum Synthesis ability is distributed the applied energy constitute and the used time that change traditional power distribution network, promotes the contribution of clean reproducible energy; Electrical network synergy integration capability, by promoting the transfer efficiency of conventional electrical distribution system, reduces its external cost; The energy-conservation integration capability of user, by improving the electrical efficiency of using of conventional electric power customer group, is evaded inessential energy requirement; Load shaping integration capability will be improved typical daily load curve, cut down peak-valley difference, improve rate of load condensate, cause most of fired power generating unit to have more economic operating point.Therefore the comprehensive low-carbon (LC) competence set of intelligent adapted electric system meets comprehensively and without overlapping requirement, had both guaranteed the comprehensive of low-carbon (LC) performance analysis, has also evaded the measuring and calculating that repeats of overlapping benefit simultaneously.

Summary of the invention

The object of the invention is, overcome the weak point of existing carbon emission reduction assessment method, towards intelligent adapted electric system, propose a kind of brand-new carbon emission reduction evaluation and measuring and calculating system.

Realizing technical scheme of the present invention is, the present invention promotes carbon emission reduction, the synergy of adapted electric system power distribution network to promote carbon emission reduction, the energy-conservation promotion carbon emission reduction of intelligent adapted electric system user, the shaping of intelligent adapted electric system load to promote carbon emission reduction quantitatively to set up evaluating method to intelligent adapted electric system power supply optimization respectively, further to intelligent adapted electric system, promotes carbon emission reduction accumulation comprehensive benefit to evaluate and test.

A kind of intelligent adapted electric system carbon emission reduction of the present invention is evaluated and measuring method, comprises following content:

1) set up the evaluating method that intelligent adapted electric system power supply optimization promotes carbon emission reduction;

2) set up the evaluating method that intelligent adapted electric system power distribution network synergy promotes carbon emission reduction;

3) set up the evaluating method of the energy-conservation promotion carbon emission reduction of intelligent adapted electric system user;

4) set up the evaluating method that the shaping of intelligent adapted electric system load promotes carbon emission reduction;

5) set up intelligent adapted electric system and promote carbon emission reduction accumulation comprehensive benefit evaluating method.

The present invention sets up intelligent adapted electric system power supply optimization and promotes that the evaluating method step of carbon emission reduction is as follows:

1-1) power supply structure optimization promotes the effect of carbon emission reduction to be:

$C_j^{\left(1\right)}={\mathrm{\σ}}_1\×c\×{\mathrm{\ΔQ}}_j^{\left(\mathrm{clean}\right)}---\left(1\right)$

represent that newly-increased clean energy resource substitutes the carbon emission reduction amount that fired power generating unit equates that generated energy brings; Wherein, σ ₁for the carbon emission factor of coal, the CO that coal combustion of unit mass discharges ₂amount; C is the coal consumption of fired power generating unit unit;

it is the newly-increased clean energy resource generated energy of j; If the measuring and calculating cycle is N, the carbon emission amount reducing because of power supply structure optimization on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(1\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(1\right)}---\left(2\right)$

1-2) the newly-increased clean energy resource generated energy of j in formula (1)

computing method:

$\mathrm{\Δ}{Q}_{k,j}^{\left(\mathrm{clean}\right)}=S_{k,j}^{\left(\mathrm{clean}\right)}\×t_{k,j}^{\left(\mathrm{clean}\right)}-S_{k,\mathrm{base}}^{\left(\mathrm{clean}\right)}\×t_{k,\mathrm{base}}^{\left(\mathrm{clean}\right)}---\left(3\right)$

Wherein,

for the installed capacity of distributed clean energy resource k j in intelligent adapted electric system,

for the hourage that utilizes of distributed clean energy resource k j,

with

be respectively the installed capacity that its measuring and calculating standard year is corresponding and utilize hourage;

it is the generated energy of the newly-increased distributed clean energy resource k of j; If the total distributed clean energy resource of m class, the newly-increased clean energy resource generated energy of j

for

$\mathrm{\Δ}{Q}_j^{\left(\mathrm{clean}\right)}=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}\mathrm{\Δ}{Q}_{k,j}^{\left(\mathrm{clean}\right)}---\left(4\right)$

The present invention sets up intelligent adapted electric system power distribution network synergy and promotes that the evaluating method step of carbon emission reduction is as follows:

2-1) power distribution network synergy promotes the effect of carbon emission reduction to be:

$C_j^{\left(2\right)}={\mathrm{\σ}}_1\×c\×\mathrm{\Δ}{Q}_j^{\left(\mathrm{line}\right)}---\left(5\right)$

Wherein

for the Energy loss that power distribution network synergy reduces is converted into equal carbon emission corresponding to fired power generating unit generated energy; σ ₁for the carbon emission factor of coal, the CO that coal combustion of unit mass discharges ₂amount; C is the coal consumption of fired power generating unit unit;

the equivalent amount of energy saving of realizing for power distribution network synergy; If the measuring and calculating cycle is N, the carbon emission amount reducing because of power distribution network improved efficiency on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(2\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(2\right)}---\left(6\right)$

The equivalent amount of energy saving that 2-2) in formula (5), power distribution network synergy realizes

computing method:

$\mathrm{\Δ}{Q}_j^{\left(\mathrm{line}\right)}={\mathrm{\α}}_j\×(1-{\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)})\×Q_j---\left(7\right)$

Wherein, α _jbe that the loss of j electric line reduces the factor;

the energy-conservation integration capability factor for intelligent adapted electric system; Q _jpower consumption for the power distribution network that under non intelligent adapted electric system (being conventional adapted electric system) condition, j pays close attention to;

2-3) in formula (7), the loss of j electric line reduces factor-alpha _jcomputing method:

α _j＝χ _j·Δδ （8）

Wherein, χ _jbe that the power distribution network that j pays close attention to improves degree, Δ δ is that this bore adopts the Line Loss of Distribution Network System rate that can reduce after novel distribution technique comprehensively; Defining intelligent adapted electric system, to build initial time power distribution network transformation degree be χ ₁, and the transformation degree of the upper one's last year of measuring and calculating cycle N is χ _n, under the condition of the linear increase of transformation degree (transforming constant airspeed), formula (8) will be further refined as:

${\mathrm{\α}}_j=({\mathrm{\χ}}_1+\frac{{\mathrm{\χ}}_N-{\mathrm{\χ}}_1}{N-1}\×(j-1))\·\mathrm{\Δ\δ}---\left(9\right)$

2-4) the energy-conservation integration capability factor of intelligent adapted electric system in formula (7)

computing method:

${\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)}=1-(1+{\mathrm{\ζ}}_j^{\left(1\right)})\×(1-{\mathrm{\ζ}}_j^{\left(2\right)})---\left(10\right)$

Wherein,

be the negative energy-conservation factor of electric automobile of j,

it is the energy-conservation factor of user interaction of j;

2-5) the negative energy-conservation factor of the electric automobile of j in formula (10)

computing method:

${\mathrm{\ζ}}_j^{\left(1\right)}=\mathrm{\Δ}{Q}_j^{\left(\mathrm{car}\right)}/Q_j=\frac{N_j\×L\×q}{Q_j}---\left(11\right)$

Wherein represent the lifting ratio of electric automobile to the paid close attention to overall electric weight demand of adapted electrical network;

for the negative amount of energy saving of j electric automobile under this bore (the electric weight demand increasing); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network; N _jit is the electric automobile total amount of the adapted electrical network institute overlay area paid close attention to of j; L is bicycle annual mileage; Q is bicycle unit's mileage average power consumption;

2-6) the energy-conservation factor of user interaction of j in formula (10)

computing method:

${\mathrm{\ζ}}_j^{\left(2\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\mathrm{\ρ}}_i\×{\mathrm{\μ}}_i\×{\mathrm{\γ}}_{\mathrm{ij}}---\left(12\right)$

Wherein

represent that all types of users participate in total energy-saving ratio interactive and that realize based on intelligent meter meter; ρ _ifor industry i shared ratio (comprising the primary industry, secondary industry, the tertiary industry and residential electricity consumption) in power structure; μ _ithe energy-saving potential of expression industry i self; γ _ijexpression industry i is in the intelligent electric meter permeability of j; Defining intelligent adapted electric system, to build initial time industry i permeability be γ _i1, and the permeability of the upper one's last year of measuring and calculating cycle N is γ _iN, under the condition of the linear increase of transformation degree (transforming constant airspeed), formula (12) will be further refined as

${\mathrm{\ζ}}_j^{\left(2\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\mathrm{\ρ}}_i\×{\mathrm{\μ}}_i\×[{\mathrm{\γ}}_{i1}+\frac{{\mathrm{\γ}}_{\mathrm{iN}}-{\mathrm{\γ}}_{i1}}{N-1}\×(j-1)]---\left(13\right)$

The evaluating method step that the present invention sets up the energy-conservation promotion carbon emission reduction of intelligent adapted electric system user is as follows:

3-1) effect of the energy-conservation promotion carbon emission reduction of user is:

$C_j^{\left(3\right)}={\mathrm{\σ}}_1\×c\×\mathrm{\Δ}{Q}_j^{\left(\mathrm{demand}\right)}+T_j---\left(14\right)$

Wherein

for user's energy-saving, economize electric weight and be converted into equal carbon emission corresponding to fired power generating unit generated energy; σ ₁for the carbon emission factor of coal, the CO that coal combustion of unit mass discharges ₂amount; C is the coal consumption of fired power generating unit unit;

for the comprehensive electric weight of saving of paid close attention to adapted electric system j; T _jthe fuel oil carbon emission amount that the adapted electric system j electric automobile that expression is paid close attention to is evaded; If the measuring and calculating cycle is N, the carbon emission amount reducing because of synthesis energy saving on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(3\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(3\right)}---\left(15\right)$

The comprehensive electric weight of saving of adapted electric system j of 3-2) paying close attention in formula (14) computing method:

$\mathrm{\Δ}{Q}_j^{\left(\mathrm{demand}\right)}={\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)}\×Q_j---\left(16\right)$

Wherein,

for the energy-conservation integration capability factor of intelligent adapted electric system, computing method are provided by formula (10) (11) (12); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network;

The fuel oil carbon emission amount T that the adapted electric system j electric automobile of 3-3) paying close attention in formula (14) is evaded _jcomputing method:

T _j＝N _j×L×ε×σ ₂ （17）

T wherein _jfuel oil carbon emission for the conventional vehicles of evading because electric automobile is grid-connected; N _jit is the electric automobile total amount of the adapted electric system institute overlay area paid close attention to of j; L is bicycle annual mileage; εWei bicycle unit mileage average consumprion; σ ₂for the fuel oil carbon emission factor, the CO that oil inflame of unit mass discharges ₂amount.

The present invention sets up the shaping of intelligent adapted electric system load and promotes that the evaluating method step of carbon emission reduction is as follows:

4-1) load shaping promotes the effect of carbon emission reduction to be:

$C_j^{\left(4\right)}={\mathrm{\σ}}_1\×{\mathrm{\Δ\ξ}}_j\×\mathrm{\κ}\×[(1-{\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)})\×(1-{\mathrm{\θ}}_{\mathrm{all},j})\×Q_j]---\left(18\right)$

Wherein, σ ₁the carbon emission factor for coal; Δ ξ _jfor rate of load condensate promotes multi-stress; κ is the correlation factor of rate of load condensate and the coal consumption of coal-fired unit unit, represents the every lifting one percentage point of unified rate of load condensate, the coal-fired coal consumption decline κ of unit unit; θ _{all, j}it is j clean energy resource generating ratio; be the energy-conservation integration capability factor of j, computing method are provided by formula (10) (11) (12); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network; If the measuring and calculating cycle is N, the carbon emission amount reducing because of load shaping on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(4\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(4\right)}---\left(19\right)$

4-2) in formula (18), rate of load condensate promotes multi-stress Δ ξ _jcomputing method:

$\mathrm{\Δ}{\mathrm{\ξ}}_j=100\×[\frac{P_{2,j}^{\mathrm{mean}}}{(1-\mathrm{\Δ}{p}_{\max ,j})\×P_j^{\max }}-\frac{P_{1,j}^{\mathrm{mean}}}{P_j^{\max }}]---\left(20\right)$

Wherein, Δ ξ _jexpression is than non intelligent adapted electric system, the percentage point number that intelligent adapted electric system rate of load condensate promotes;

for the average load of j under non intelligent adapted electric system condition, computing method are:

$P_{1,j}^{\mathrm{mean}}=Q_j/8760---\left(21\right)$

In formula (20)

for the average load of j under intelligent adapted electric system condition, computing method are:

$P_{2,j}^{\mathrm{mean}}=(1-{\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)})\×Q_j/8760---\left(22\right)$

Q in formula (21), (22) _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network; In formula (22)

be the energy-conservation integration capability factor of j, computing method are provided by formula (10) (11) (12); P in formula (20) _{max, j}it is the maximum load capacity of estimating under the non intelligent adapted electric system of j condition;

4-3) Δ p in formula (20) _{max, j}for reducing the ratio of peak load under intelligent adapted electric system condition, computing method are:

$\mathrm{\Δ}{p}_{\max ,j}=1-(1-{\mathrm{\λ}}_j^{\left(3\right)})\×(1+{\mathrm{\λ}}_j^{\left(1\right)})\×(1-{\mathrm{\ζ}}_j^{\left(2\right)})---\left(23\right)$

In formula (23)

be the interactive energy-conservation factor of j, computing method are provided by formula (12); In formula (23)

be that the peak factor falls in j user interaction, computing method are:

${\mathrm{\λ}}_j^{\left(3\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\mathrm{\ρ}}_i\×v_i\×{\mathrm{\γ}}_{\mathrm{ij}}---\left(24\right)$

Wherein

in the adapted electric system that represents to pay close attention to, all types of users participate in the peak ratio of totally falling interactive and that realize based on intelligent meter meter; ρ _ifor industry i shared ratio (comprising the primary industry, secondary industry, the tertiary industry and residential electricity consumption) in power structure; ν _ifor industry i, peak potentiality fall; γ _ijfor the permeability of industry i at the intelligent meter meter of j; In formula (23)

be the high crest segment charging ability of the j electric automobile factor, computing method are:

${\mathrm{\λ}}_j^{\left(1\right)}=\frac{{\mathrm{\η}}_1\×N_j\×p_1}{P_j^{\mathrm{high}}}---\left(25\right)$

Wherein be illustrated in paid close attention to adapted electric system because of the Load lifting ratio of charging electric vehicle to peak; N _jj electric automobile total amount for paid close attention to adapted electric system institute overlay area; η ₁for high crest segment participates in the electric automobile ratio of charging; p ₁for the average power of electric automobile under high crest segment charging modes;

for the adapted electric system j paying close attention under the non intelligent adapted electric system condition scale of loading peak period;

4-4) j clean energy resource generating ratio θ in formula (18) _{all, j}computing method be:

${\mathrm{\θ}}_{\mathrm{all},j}=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}{\mathrm{\θ}}_{k,j}^{\left(\mathrm{clean}\right)}---\left(26\right)$

θ wherein _{all, j}expression is than standard year, and the newly-increased clean reproducible energy generated energy of all m classes of adapted electric system j of paying close attention to accounts for the ratio of j power consumption demand;

be the generating contribution rate of the newly-increased clean reproducible energy k of j, represent than standard year, the newly-increased clean reproducible energy k generated energy of adapted electric system j of paying close attention to accounts for the ratio of j power consumption demand, and computing method are:

${\mathrm{\θ}}_{k,j}^{\left(\mathrm{clean}\right)}=\frac{{\mathrm{\ΔQ}}_{k,j}^{\left(\mathrm{clean}\right)}}{Q_j}---\left(27\right)$

In formula (27)

be the newly-increased clean energy resource generated energy of j, its computing method are provided by formula (3); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network.

The present invention sets up intelligent adapted electric system and promotes that carbon emission reduction accumulation comprehensive benefit evaluating method is as follows:

J intelligence adapted electric system promotes the comprehensive benefit of carbon emission reduction to be:

$C_j^{\left(\mathrm{all}\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{C}_j^{\left(i\right)}---\left(28\right)$

Wherein,

for the carbon emission reduction amount that power supply structure optimization causes, computing method are provided by formula (1);

for power distribution network synergy reduces the carbon emission reduction amount that network loss causes, computing method are provided by formula (5);

for user is energy-conservation, reduce the carbon emission reduction amount that power consumption causes, computing method are provided by formula (14);

for load shaping improves the carbon emission reduction amount that rate of load condensate causes, computing method are provided by formula (18); Further obtaining the measuring and calculating cycle is N time intelligence adapted electric system promotes the accumulative total comprehensive benefit of carbon emission reduction to be:

$C^{\left(\mathrm{all}\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{C}_j^{\left(i\right)}---\left(29\right)$

The invention has the beneficial effects as follows, the present invention is based on measure and comment of benefit comprehensive and without the requirement of overlapping property, there is no to adopt the Calculation Thought " simply enumerated and superposeed " in the past.The low-carbon (LC) benefit of intelligent grid is decided by its feature capabilities that promotes low carbon development size of (being called for short low-carbon (LC) ability) at all, and the low-carbon (LC) ability assessment method that science is complete is the condition precedent of low-carbon (LC) measure and comment of benefit.Therefore, the core concept that the present invention proposes is: walk the test and appraisal technology path from low carbon development ability to low-carbon (LC) benefit, realization is the mapping to the set of low-carbon (LC) benefit by the comprehensive low-carbon (LC) competence set of intelligent adapted electric system, and finally established power supply optimization, electrical network synergy, user is energy-conservation and the comprehensive low-carbon (LC) benefit of load shaping four aspects, for intelligent adapted electric system promotes the quantitative test and appraisal of carbon emission reduction, provides theory support.

The present invention is applicable to intelligent adapted electric system carbon emission reduction and evaluates and measuring and calculating.

Accompanying drawing explanation

Fig. 1 the technology of the present invention route block diagram;

Fig. 2 is energy-conservation integration capability schematic diagram;

Fig. 3 is load shaping integration capability schematic diagram;

Embodiment

Below in conjunction with drawings and the embodiments, the present invention is further detailed explanation.Should be appreciated that embodiment described herein can be in order to explain the present invention, but do not limit the present invention.

Intelligent adapted electric system carbon emission reduction of the present invention is evaluated and measuring method, from power supply optimization, distribution synergy, user's carbon emission reduction amount energy-conservation, that load four aspects of shaping realize intelligent adapted electric system, calculates, and comprises the following steps:

(1) set up the evaluating method that intelligent adapted electric system power supply optimization promotes carbon emission reduction;

Than traditional adapted electric system, present two aspects of property list that intelligent adapted electric system power supply is optimized, the one, the active participation of the distributed clean energy resource of user's side, the 2nd, intelligent optimization scheduling mode is optimized power supply architecture, has formed thus novel power supply general layout.Concrete steps:

1-1) power supply structure optimization promotes the effect of carbon emission reduction to be:

$C_j^{\left(1\right)}={\mathrm{\σ}}_1\×c\×{\mathrm{\ΔQ}}_j^{\left(\mathrm{clean}\right)}---\left(1\right)$

represent that newly-increased clean energy resource substitutes the carbon emission reduction amount that fired power generating unit equates that generated energy brings; Wherein, σ ₁for the carbon emission factor of coal, the CO that coal combustion of unit mass discharges ₂amount; C is the coal consumption of fired power generating unit unit;

it is the newly-increased clean energy resource generated energy of j; If the measuring and calculating cycle is N, the carbon emission amount reducing because of power supply structure optimization on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(1\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(1\right)}---\left(2\right)$

1-2) the newly-increased clean energy resource generated energy of j in formula (1) computing method:

$\mathrm{\Δ}{Q}_{k,j}^{\left(\mathrm{clean}\right)}=S_{k,j}^{\left(\mathrm{clean}\right)}\×t_{k,j}^{\left(\mathrm{clean}\right)}-S_{k,\mathrm{base}}^{\left(\mathrm{clean}\right)}\×t_{k,\mathrm{base}}^{\left(\mathrm{clean}\right)}---\left(3\right)$

Wherein,

for the installed capacity of distributed clean energy resource k j in intelligent adapted electric system,

for the hourage that utilizes of distributed clean energy resource k j,

with

be respectively the installed capacity that its measuring and calculating standard year is corresponding and utilize hourage; it is the generated energy of the newly-increased distributed clean energy resource k of j; If the total distributed clean energy resource of m class, the newly-increased clean energy resource generated energy of j

for

$\mathrm{\Δ}{Q}_j^{\left(\mathrm{clean}\right)}=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}\mathrm{\Δ}{Q}_{k,j}^{\left(\mathrm{clean}\right)}---\left(4\right)$

(2) set up the evaluating method that intelligent adapted electric system power distribution network synergy promotes carbon emission reduction, be specially:

2-1) power distribution network synergy promotes the effect of carbon emission reduction to be:

$C_j^{\left(2\right)}={\mathrm{\σ}}_1\×c\×\mathrm{\Δ}{Q}_j^{\left(\mathrm{line}\right)}---\left(5\right)$

Wherein

for the Energy loss that power distribution network synergy reduces is converted into equal carbon emission corresponding to fired power generating unit generated energy; σ ₁for the carbon emission factor of coal, the CO that coal combustion of unit mass discharges ₂amount; C is the coal consumption of fired power generating unit unit; the equivalent amount of energy saving of realizing for power distribution network synergy; If the measuring and calculating cycle is N, the carbon emission amount reducing because of power distribution network improved efficiency on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(2\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(2\right)}---\left(6\right)$

The equivalent amount of energy saving that 2-2) in formula (5), power distribution network synergy realizes

computing method:

$\mathrm{\Δ}{Q}_j^{\left(\mathrm{line}\right)}={\mathrm{\α}}_j\×(1-{\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)})\×Q_j---\left(7\right)$

Wherein, α _jbe that the loss of j electric line reduces the factor;

the energy-conservation integration capability factor for intelligent adapted electric system; Q _jpower consumption for the power distribution network that under non intelligent adapted electric system (being conventional adapted electric system) condition, j pays close attention to;

2-3) in formula (7), the loss of j electric line reduces factor-alpha _jcomputing method:

α _j＝χ _j·Δδ （8）

Wherein, χ _jbe that the power distribution network that j pays close attention to improves degree, Δ δ is that this bore adopts the Line Loss of Distribution Network System rate that can reduce after novel distribution technique comprehensively; Defining intelligent adapted electric system, to build initial time power distribution network transformation degree be χ ₁, and the transformation degree of the upper one's last year of measuring and calculating cycle N is χ _n, under the condition of the linear increase of transformation degree (transforming constant airspeed), formula (8) will be further refined as

${\mathrm{\α}}_j=({\mathrm{\χ}}_1+\frac{{\mathrm{\χ}}_N-{\mathrm{\χ}}_1}{N-1}\×(j-1))\·\mathrm{\Δ\δ}---\left(9\right)$

2-4) the energy-conservation integration capability factor of intelligent adapted electric system in formula (7)

computing method:

${\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)}=1-(1+{\mathrm{\ζ}}_j^{\left(1\right)})\×(1-{\mathrm{\ζ}}_j^{\left(2\right)})---\left(10\right)$

Wherein, be the negative energy-conservation factor of electric automobile of j,

it is the energy-conservation factor of user interaction of j;

2-5) the negative energy-conservation factor of the electric automobile of j in formula (10)

computing method:

${\mathrm{\ζ}}_j^{\left(1\right)}=\mathrm{\Δ}{Q}_j^{\left(\mathrm{car}\right)}/Q_j=\frac{N_j\×L\×q}{Q_j}---\left(11\right)$

Wherein

represent the lifting ratio of electric automobile to the paid close attention to overall electric weight demand of adapted electrical network;

for the negative amount of energy saving of j electric automobile under this bore (the electric weight demand increasing); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network; N _jit is the electric automobile total amount of the adapted electrical network institute overlay area paid close attention to of j; L is bicycle annual mileage; Q is bicycle unit's mileage average power consumption;

2-6) the energy-conservation factor of user interaction of j in formula (10)

computing method:

${\mathrm{\ζ}}_j^{\left(2\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\mathrm{\ρ}}_i\×{\mathrm{\μ}}_i\×{\mathrm{\γ}}_{\mathrm{ij}}---\left(12\right)$

Wherein

represent that all types of users participate in total energy-saving ratio interactive and that realize based on intelligent meter meter; ρ _ifor industry i shared ratio (comprising the primary industry, secondary industry, the tertiary industry and residential electricity consumption) in power structure; μ _ithe energy-saving potential of expression industry i self; γ _ijexpression industry i is in the intelligent electric meter permeability of j; Defining intelligent adapted electric system, to build initial time industry i permeability be γ _i1, and the permeability of the upper one's last year of measuring and calculating cycle N is γ _iN, under the condition of the linear increase of transformation degree (transforming constant airspeed), formula (12) will be further refined as

${\mathrm{\ζ}}_j^{\left(2\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\mathrm{\ρ}}_i\×{\mathrm{\μ}}_i\×[{\mathrm{\γ}}_{i1}+\frac{{\mathrm{\γ}}_{\mathrm{iN}}-{\mathrm{\γ}}_{i1}}{N-1}\×(j-1)]---\left(13\right)$

(3) set up the evaluating method of the energy-conservation promotion carbon emission reduction of intelligent adapted electric system user; User interaction will be realized the decline of overall electricity needs, and the development of electric automobile will promote overall electricity needs, and both are coupled overlapping, and acting in conjunction embodies energy-conservation integration capability, as Fig. 1 shows.Concrete steps:

3-1) effect of the energy-conservation promotion carbon emission reduction of user is:

$C_j^{\left(3\right)}={\mathrm{\σ}}_1\×c\×\mathrm{\Δ}{Q}_j^{\left(\mathrm{demand}\right)}+T_j---\left(14\right)$

Wherein for user's energy-saving, economize electric weight and be converted into equal carbon emission corresponding to fired power generating unit generated energy; σ ₁for the carbon emission factor of coal, the CO that coal combustion of unit mass discharges ₂amount; C is the coal consumption of fired power generating unit unit;

for the comprehensive electric weight of saving of paid close attention to adapted electric system j; T _jthe fuel oil carbon emission amount that the adapted electric system j electric automobile that expression is paid close attention to is evaded; If the measuring and calculating cycle is N, the carbon emission amount reducing because of synthesis energy saving on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(3\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(3\right)}---\left(15\right)$

The comprehensive electric weight of saving of adapted electric system j of 3-2) paying close attention in formula (14)

computing method:

$\mathrm{\Δ}{Q}_j^{\left(\mathrm{demand}\right)}={\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)}\×Q_j---\left(16\right)$

Wherein,

for the energy-conservation integration capability factor of intelligent adapted electric system, computing method are provided by formula (10) (11) (12); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network;

The fuel oil carbon emission amount T that the adapted electric system j electric automobile of 3-3) paying close attention in formula (14) is evaded _jcomputing method:

T _j＝N _j×L×ε×σ ₂ （17）

T wherein _jfuel oil carbon emission for the conventional vehicles of evading because electric automobile is grid-connected; N _jit is the electric automobile total amount of the adapted electric system institute overlay area paid close attention to of j; L is bicycle annual mileage; εWei bicycle unit mileage average consumprion; σ ₂for the fuel oil carbon emission factor, the CO that oil inflame of unit mass discharges ₂amount;

(4) set up the evaluating method that the shaping of intelligent adapted electric system load promotes carbon emission reduction; The shaping of so-called load, typical load curve peak-valley difference reduces, and average load changes relatively, thus change of load rate; Peak energy power, the energy-conservation ability of user interaction and the high crest segment charging ability of electric automobile fall in user interaction all will affect user's maximum load demand, and first two contribute to cut down user's side maximum load, and the 3rd will promote maximum load; And the negative energy-conservation ability of the energy-conservation ability of user interaction and electric automobile also will affect user's average load, the former will reduce average load, and latter will promote average load.Thus, between every low-carbon (LC) ability coupled relation as shown in Figure 2, concrete steps:

4-1) load shaping promotes the effect of carbon emission reduction to be:

$C_j^{\left(4\right)}={\mathrm{\σ}}_1\×{\mathrm{\Δ\ξ}}_j\×\mathrm{\κ}\×[(1-{\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)})\×(1-{\mathrm{\θ}}_{\mathrm{all},j})\×Q_j]---\left(18\right)$

Wherein, σ ₁the carbon emission factor for coal; Δ ξ _jfor rate of load condensate promotes multi-stress; κ is the correlation factor of rate of load condensate and the coal consumption of coal-fired unit unit, represents the every lifting one percentage point of unified rate of load condensate, the coal-fired coal consumption decline κ of unit unit; θ _{all, j}it is j clean energy resource generating ratio;

be the energy-conservation integration capability factor of j, computing method are provided by formula (10) (11) (12); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network; If the measuring and calculating cycle is N, the carbon emission amount reducing because of load shaping on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(4\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(4\right)}---\left(19\right)$

4-2) in formula (18), rate of load condensate promotes multi-stress Δ ξ _jcomputing method:

$\mathrm{\Δ}{\mathrm{\ξ}}_j=100\×[\frac{P_{2,j}^{\mathrm{mean}}}{(1-\mathrm{\Δ}{p}_{\max ,j})\×P_j^{\max }}-\frac{P_{1,j}^{\mathrm{mean}}}{P_j^{\max }}]---\left(20\right)$

Wherein, Δ ξ _jexpression is than non intelligent adapted electric system, the percentage point number that intelligent adapted electric system rate of load condensate promotes;

for the average load of j under non intelligent adapted electric system condition, computing method are:

$P_{1,j}^{\mathrm{mean}}=Q_j/8760---\left(21\right)$

In formula (20)

for the average load of j under intelligent adapted electric system condition, computing method are:

$P_{2,j}^{\mathrm{mean}}=(1-{\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)})\×Q_j/8760---\left(22\right)$

Q in formula (21), (22) _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network; In formula (22)

be the energy-conservation integration capability factor of j, computing method are provided by formula (10) (11) (12); P in formula (20) _{max, j}it is the maximum load capacity of estimating under the non intelligent adapted electric system of j condition;

4-3) Δ p in formula (20) _{max, j}for reducing the ratio of peak load under intelligent adapted electric system condition, computing method are:

$\mathrm{\Δ}{p}_{\max ,j}=1-(1-{\mathrm{\λ}}_j^{\left(3\right)})\×(1+{\mathrm{\λ}}_j^{\left(1\right)})\×(1-{\mathrm{\ζ}}_j^{\left(2\right)})---\left(23\right)$

In formula (23) be the interactive energy-conservation factor of j, computing method are provided by formula (12); In formula (23)

be that the peak factor falls in j user interaction, computing method are:

${\mathrm{\λ}}_j^{\left(3\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\mathrm{\ρ}}_i\×v_i\×{\mathrm{\γ}}_{\mathrm{ij}}---\left(24\right)$

Wherein

in the adapted electric system that represents to pay close attention to, all types of users participate in the peak ratio of totally falling interactive and that realize based on intelligent meter meter; ρ _ifor industry i shared ratio (comprising the primary industry, secondary industry, the tertiary industry and residential electricity consumption) in power structure; ν _ifor industry i, peak potentiality fall; γ _ijfor the permeability of industry i at the intelligent meter meter of j; In formula (23)

be the high crest segment charging ability of the j electric automobile factor, computing method are:

${\mathrm{\λ}}_j^{\left(1\right)}=\frac{{\mathrm{\η}}_1\×N_j\×p_1}{P_j^{\mathrm{high}}}---\left(25\right)$

Wherein

be illustrated in paid close attention to adapted electric system because of the Load lifting ratio of charging electric vehicle to peak; N _jj electric automobile total amount for paid close attention to adapted electric system institute overlay area; η ₁for high crest segment participates in the electric automobile ratio of charging; p ₁for the average power of electric automobile under high crest segment charging modes;

for the adapted electric system j paying close attention under the non intelligent adapted electric system condition scale of loading peak period;

4-4) j clean energy resource generating ratio θ in formula (18) _{all, j}computing method be:

${\mathrm{\θ}}_{\mathrm{all},j}=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}{\mathrm{\θ}}_{k,j}^{\left(\mathrm{clean}\right)}---\left(26\right)$

θ wherein _{all, j}expression is than standard year, and the newly-increased clean reproducible energy generated energy of all m classes of adapted electric system j of paying close attention to accounts for the ratio of j power consumption demand;

be the generating contribution rate of the newly-increased clean reproducible energy k of j, represent than standard year, the newly-increased clean reproducible energy k generated energy of adapted electric system j of paying close attention to accounts for the ratio of j power consumption demand, and computing method are:

${\mathrm{\θ}}_{k,j}^{\left(\mathrm{clean}\right)}=\frac{{\mathrm{\ΔQ}}_{k,j}^{\left(\mathrm{clean}\right)}}{Q_j}---\left(27\right)$

In formula (27) be the newly-increased clean energy resource generated energy of j, its computing method are provided by formula (3); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network;

(5) in conjunction with power supply structure optimization, electrical network synergy, user is energy-conservation and the benefit of load four aspects of shaping, set up intelligent adapted electric system and promote the concrete evaluating method of carbon emission reduction accumulation comprehensive benefit to be:

J intelligence adapted electric system promotes the comprehensive benefit of carbon emission reduction to be:

$C_j^{\left(\mathrm{all}\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{C}_j^{\left(i\right)}---\left(28\right)$

Wherein,

for the carbon emission reduction amount that power supply structure optimization causes, computing method are provided by formula (1);

for power distribution network synergy reduces the carbon emission reduction amount that network loss causes, computing method are provided by formula (5);

for user is energy-conservation, reduce the carbon emission reduction amount that power consumption causes, computing method are provided by formula (14);

for load shaping improves the carbon emission reduction amount that rate of load condensate causes, computing method are provided by formula (18); Further obtaining the measuring and calculating cycle is N time intelligence adapted electric system promotes the accumulative total comprehensive benefit of carbon emission reduction to be:

$C^{\left(\mathrm{all}\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{C}_j^{\left(i\right)}---\left(29\right)$

So far, method of the present invention is implemented complete.

It is that example is set forth intelligent adapted electric system carbon emission reduction that the present invention proposes and evaluated the implementation result with measuring method that the embodiment of the present invention be take the expection CER of Komsomolsk, Jiangxi intelligence adapted electric system programme in 2015.

3 rings of Komsomolsk intelligence adapted electric system distribution network line overall topology for being formed by 7 buses.Have 48 nodes, 57 circuits.In programmes in 2015, Komsomolsk intelligence adapted electric system total electricity consumption is 58.9GWh; By the distributed power source of four place access total volume 6MW in adapted electric system; To set up an electric automobile charging pile, an average day charge volume is 400kWh.

The target permeability of so-called intelligent electric meter is exactly the popularization infiltration ratio to target time (the year two thousand twenty) intelligent electric meter technology.Consider China's electric power development, the permeability of intelligent grid exists larger gap, particularly the interactive response permeability based on intelligent electric meter between each industry, to have larger gap because industry is different.Permeability with the intelligent electric meter in target year (2015) in the primary industry, secondary industry, the tertiary industry, residential electricity consumption is respectively 5%, 11%, 8%, 11% and carries out carbon emission reduction measuring and calculating.

The Some Parameters relating in Calculating model is provided and defined, as shown in table 1.

The Some Parameters relating in table 1 Calculating model

Investigation interrelated data, under identical and authoritative bore, final definite carbon emission factor of coal burning and the carbon emission factor of gasoline combustion are respectively 2.62 and 2.70.According to the middle Electricity Federation statistics of 2005, the average unit of all kinds of fired power generating unit of China coal consumption amount is 340g/kWh, therefore adopt this index in measuring and calculating.From State Grid Corporation of China's economic research analysis data demonstration far away, the every lifting one percentage point of total system rate of load condensate, will reduce the coal consumption average out to 2.3g/kWh of fired power generating unit unit, and measuring and calculating adopts this index.

It is 18,000tCO that the measuring method that application the present invention proposes calculates Komsomolsk intelligence adapted electric system annual carbon emission under programme in 2015 ₂.The carbon emission reduction that power supply is optimized (being that distributed energy substitutes traditional energy in this example) realization is 4,000tCO ₂; Power distribution network falls and damages that to realize carbon emission reduction be 10t CO ₂; User's energy-conservation (being the interactive energy-conservation and electric automobile energy saving of intelligent electric meter in this example) realizes carbon emission reduction 1,000t CO ₂.

Claims (6)

1. intelligent adapted electric system carbon emission reduction is evaluated and a measuring method, it is characterized in that, described method comprises:

1) set up the evaluating method that intelligent adapted electric system power supply optimization promotes carbon emission reduction;

2) set up the evaluating method that intelligent adapted electric system power distribution network synergy promotes carbon emission reduction;

3) set up the evaluating method of the energy-conservation promotion carbon emission reduction of intelligent adapted electric system user;

4) set up the evaluating method that the shaping of intelligent adapted electric system load promotes carbon emission reduction;

5) set up intelligent adapted electric system and promote carbon emission reduction accumulation comprehensive benefit evaluating method.

2. intelligent adapted electric system carbon emission reduction according to claim 1 is evaluated and measuring method, it is characterized in that, the optimization of the intelligent adapted electric system of described foundation power supply promotes the evaluating method step of carbon emission reduction to be:

1-1) power supply structure optimization promotes the effect of carbon emission reduction to be:

$C_j^{\left(1\right)}={\mathrm{\σ}}_1\×c\×{\mathrm{\ΔQ}}_j^{\left(\mathrm{clean}\right)}---\left(1\right)$

represent that newly-increased clean energy resource substitutes the carbon emission reduction amount that fired power generating unit equates that generated energy brings; Wherein, σ ₁for the carbon emission factor of coal, the CO that coal combustion of unit mass discharges ₂amount; C is the coal consumption of fired power generating unit unit; it is the newly-increased clean energy resource generated energy of j; If the measuring and calculating cycle is N, the carbon emission amount reducing because of power supply structure optimization on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(1\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(1\right)}---\left(2\right)$

1-2) the newly-increased clean energy resource generated energy of j in formula (1) computing method:

$\mathrm{\Δ}{Q}_{k,j}^{\left(\mathrm{clean}\right)}=S_{k,j}^{\left(\mathrm{clean}\right)}\×t_{k,j}^{\left(\mathrm{clean}\right)}-S_{k,\mathrm{base}}^{\left(\mathrm{clean}\right)}\×t_{k,\mathrm{base}}^{\left(\mathrm{clean}\right)}---\left(3\right)$

Wherein,

for the installed capacity of distributed clean energy resource k j in intelligent adapted electric system,

for the hourage that utilizes of distributed clean energy resource k j,

with

be respectively the installed capacity that its measuring and calculating standard year is corresponding and utilize hourage;

it is the generated energy of the newly-increased distributed clean energy resource k of j; If the total distributed clean energy resource of m class, the newly-increased clean energy resource generated energy of j

for

$\mathrm{\Δ}{Q}_j^{\left(\mathrm{clean}\right)}=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}\mathrm{\Δ}{Q}_{k,j}^{\left(\mathrm{clean}\right)}---\left(4\right).$

3. intelligent adapted electric system carbon emission reduction according to claim 1 is evaluated and measuring method, it is characterized in that, the synergy of the intelligent adapted electric system of described foundation power distribution network promotes the evaluating method step of carbon emission reduction to be:

2-1) power distribution network synergy promotes the effect of carbon emission reduction to be:

$C_j^{\left(2\right)}={\mathrm{\σ}}_1\×c\×\mathrm{\Δ}{Q}_j^{\left(\mathrm{line}\right)}---\left(5\right)$

Wherein

for the Energy loss that power distribution network synergy reduces is converted into equal carbon emission corresponding to fired power generating unit generated energy; σ ₁for the carbon emission factor of coal, the CO that coal combustion of unit mass discharges ₂amount; C is the coal consumption of fired power generating unit unit;

the equivalent amount of energy saving of realizing for power distribution network synergy; If the measuring and calculating cycle is N, the carbon emission amount reducing because of power distribution network improved efficiency on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(2\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(2\right)}---\left(6\right)$

The equivalent amount of energy saving that 2-2) in formula (5), power distribution network synergy realizes

computing method:

$\mathrm{\Δ}{Q}_j^{\left(\mathrm{line}\right)}={\mathrm{\α}}_j\×(1-{\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)})\×Q_j---\left(7\right)$

Wherein, α _jbe that the loss of j electric line reduces the factor; the energy-conservation integration capability factor for intelligent adapted electric system; Q _jpower consumption for the power distribution network that under non intelligent adapted electric system (being conventional adapted electric system) condition, j pays close attention to;

2-3) in formula (7), the loss of j electric line reduces factor-alpha _jcomputing method:

α _j＝χ _j·Δδ （8）

Wherein, χ _jbe that the power distribution network that j pays close attention to improves degree, Δ δ is that this bore adopts the Line Loss of Distribution Network System rate that can reduce after novel distribution technique comprehensively; Defining intelligent adapted electric system, to build initial time power distribution network transformation degree be χ ₁, and the transformation degree of the upper one's last year of measuring and calculating cycle N is χ _n, under the condition of the linear increase of transformation degree (transforming constant airspeed), formula (8) will be further refined as:

${\mathrm{\α}}_j=({\mathrm{\χ}}_1+\frac{{\mathrm{\χ}}_N-{\mathrm{\χ}}_1}{N-1}\×(j-1))\·\mathrm{\Δ\δ}---\left(9\right)$

2-4) the energy-conservation integration capability factor of intelligent adapted electric system in formula (7)

computing method:

${\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)}=1-(1+{\mathrm{\ζ}}_j^{\left(1\right)})\×(1-{\mathrm{\ζ}}_j^{\left(2\right)})---\left(10\right)$

Wherein,

be the negative energy-conservation factor of electric automobile of j,

it is the energy-conservation factor of user interaction of j;

2-5) the negative energy-conservation factor of the electric automobile of j in formula (10)

computing method:

${\mathrm{\ζ}}_j^{\left(1\right)}=\mathrm{\Δ}{Q}_j^{\left(\mathrm{car}\right)}/Q_j=\frac{N_j\×L\×q}{Q_j}---\left(11\right)$

Wherein

represent the lifting ratio of electric automobile to the paid close attention to overall electric weight demand of adapted electrical network;

for the negative amount of energy saving of j electric automobile under this bore (the electric weight demand increasing); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network; N _jit is the electric automobile total amount of the adapted electrical network institute overlay area paid close attention to of j; L is bicycle annual mileage; Q is bicycle unit's mileage average power consumption;

2-6) the energy-conservation factor of user interaction of j in formula (10)

computing method:

${\mathrm{\ζ}}_j^{\left(2\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\mathrm{\ρ}}_i\×{\mathrm{\μ}}_i\×{\mathrm{\γ}}_{\mathrm{ij}}---\left(12\right)$

Wherein

represent that all types of users participate in total energy-saving ratio interactive and that realize based on intelligent meter meter; ρ _ifor industry i shared ratio (comprising the primary industry, secondary industry, the tertiary industry and residential electricity consumption) in power structure; μ _ithe energy-saving potential of expression industry i self; γ _ijexpression industry i is in the intelligent electric meter permeability of j; Defining intelligent adapted electric system, to build initial time industry i permeability be γ _i1, and the permeability of the upper one's last year of measuring and calculating cycle N is γ _iN, under the condition of the linear increase of transformation degree (transforming constant airspeed), formula (12) will be further refined as

${\mathrm{\ζ}}_j^{\left(2\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\mathrm{\ρ}}_i\×{\mathrm{\μ}}_i\×[{\mathrm{\γ}}_{i1}+\frac{{\mathrm{\γ}}_{\mathrm{iN}}-{\mathrm{\γ}}_{i1}}{N-1}\×(j-1)]---\left(13\right).$

4. intelligent adapted electric system carbon emission reduction according to claim 1 is evaluated and measuring method, it is characterized in that, the evaluating method step of the energy-conservation promotion carbon emission reduction of the intelligent adapted electric system of described foundation user is:

3-1) effect of the energy-conservation promotion carbon emission reduction of user is:

$C_j^{\left(3\right)}={\mathrm{\σ}}_1\×c\×\mathrm{\Δ}{Q}_j^{\left(\mathrm{demand}\right)}+T_j---\left(14\right)$

Wherein for user's energy-saving, economize electric weight and be converted into equal carbon emission corresponding to fired power generating unit generated energy; σ ₁for the carbon emission factor of coal, the CO that coal combustion of unit mass discharges ₂amount; C is the coal consumption of fired power generating unit unit;

for the comprehensive electric weight of saving of paid close attention to adapted electric system j; T _jthe fuel oil carbon emission amount that the adapted electric system j electric automobile that expression is paid close attention to is evaded; If the measuring and calculating cycle is N, the carbon emission amount reducing because of synthesis energy saving on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(3\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(3\right)}---\left(15\right)$

The comprehensive electric weight of saving of adapted electric system j of 3-2) paying close attention in formula (14)

computing method:

$\mathrm{\Δ}{Q}_j^{\left(\mathrm{demand}\right)}={\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)}\×Q_j---\left(16\right)$

Wherein, for the energy-conservation integration capability factor of intelligent adapted electric system, computing method are provided by formula (10) (11) (12); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network;

The fuel oil carbon emission amount T that the adapted electric system j electric automobile of 3-3) paying close attention in formula (14) is evaded _jcomputing method:

T _j＝N _j×L×ε×σ ₂ （17）

T wherein _jfuel oil carbon emission for the conventional vehicles of evading because electric automobile is grid-connected; N _jit is the electric automobile total amount of the adapted electric system institute overlay area paid close attention to of j; L is bicycle annual mileage; εWei bicycle unit mileage average consumprion; σ ₂for the fuel oil carbon emission factor, the CO that oil inflame of unit mass discharges ₂amount.

5. intelligent adapted electric system carbon emission reduction according to claim 1 is evaluated and measuring method, it is characterized in that, the shaping of the intelligent adapted electric system load of described foundation promotes the evaluating method step of carbon emission reduction to be:

4-1) load shaping promotes the effect of carbon emission reduction to be:

$C_j^{\left(4\right)}={\mathrm{\σ}}_1\×{\mathrm{\Δ\ξ}}_j\×\mathrm{\κ}\×[(1-{\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)})\×(1-{\mathrm{\θ}}_{\mathrm{all},j})\×Q_j]---\left(18\right)$

Wherein, σ ₁the carbon emission factor for coal; Δ ξ _jfor rate of load condensate promotes multi-stress; κ is the correlation factor of rate of load condensate and the coal consumption of coal-fired unit unit, represents the every lifting one percentage point of unified rate of load condensate, the coal-fired coal consumption decline κ of unit unit; θ _{all, j}it is j clean energy resource generating ratio;

be the energy-conservation integration capability factor of j, computing method are provided by formula (10) (11) (12); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network; If the measuring and calculating cycle is N, the carbon emission amount reducing because of load shaping on the measuring and calculating cycle is

$C_{\mathrm{all}}^{\left(4\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}{C}_j^{\left(4\right)}---\left(19\right)$

4-2) in formula (18), rate of load condensate promotes multi-stress Δ ξ _jcomputing method:

$\mathrm{\Δ}{\mathrm{\ξ}}_j=100\×[\frac{P_{2,j}^{\mathrm{mean}}}{(1-\mathrm{\Δ}{p}_{\max ,j})\×P_j^{\max }}-\frac{P_{1,j}^{\mathrm{mean}}}{P_j^{\max }}]---\left(20\right)$

Wherein, Δ ξ _jexpression is than non intelligent adapted electric system, the percentage point number that intelligent adapted electric system rate of load condensate promotes;

for the average load of j under non intelligent adapted electric system condition, computing method are:

$P_{1,j}^{\mathrm{mean}}=Q_j/8760---\left(21\right)$

In formula (20)

for the average load of j under intelligent adapted electric system condition, computing method are:

$P_{2,j}^{\mathrm{mean}}=(1-{\mathrm{\ζ}}_j^{\left(\mathrm{all}\right)})\×Q_j/8760---\left(22\right)$

Q in formula (21), (22) _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network; In formula (22)

be the energy-conservation integration capability factor of j, computing method are provided by formula (10) (11) (12); P in formula (20) _{max, j}it is the maximum load capacity of estimating under the non intelligent adapted electric system of j condition;

4-3) Δ p in formula (20) _{max, j}for reducing the ratio of peak load under intelligent adapted electric system condition, computing method are:

$\mathrm{\Δ}{p}_{\max ,j}=1-(1-{\mathrm{\λ}}_j^{\left(3\right)})\×(1+{\mathrm{\λ}}_j^{\left(1\right)})\×(1-{\mathrm{\ζ}}_j^{\left(2\right)})---\left(23\right)$

In formula (23)

be the interactive energy-conservation factor of j, computing method are provided by formula (12); In formula (23)

be that the peak factor falls in j user interaction, computing method are:

${\mathrm{\λ}}_j^{\left(3\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{\mathrm{\ρ}}_i\×v_i\×{\mathrm{\γ}}_{\mathrm{ij}}---\left(24\right)$

Wherein

in the adapted electric system that represents to pay close attention to, all types of users participate in the peak ratio of totally falling interactive and that realize based on intelligent meter meter; ρ _ifor industry i shared ratio (comprising the primary industry, secondary industry, the tertiary industry and residential electricity consumption) in power structure; ν _ifor industry i, peak potentiality fall; γ _ijfor the permeability of industry i at the intelligent meter meter of j; In formula (23)

be the high crest segment charging ability of the j electric automobile factor, computing method are:

${\mathrm{\λ}}_j^{\left(1\right)}=\frac{{\mathrm{\η}}_1\×N_j\×p_1}{P_j^{\mathrm{high}}}---\left(25\right)$

Wherein

be illustrated in paid close attention to adapted electric system because of the Load lifting ratio of charging electric vehicle to peak; N _jj electric automobile total amount for paid close attention to adapted electric system institute overlay area; η ₁for high crest segment participates in the electric automobile ratio of charging; p ₁for the average power of electric automobile under high crest segment charging modes;

for the adapted electric system j paying close attention under the non intelligent adapted electric system condition scale of loading peak period;

4-4) j clean energy resource generating ratio θ in formula (18) _{all, j}computing method be:

${\mathrm{\θ}}_{\mathrm{all},j}=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}{\mathrm{\θ}}_{k,j}^{\left(\mathrm{clean}\right)}---\left(26\right)$

θ wherein _{all, j}expression is than standard year, and the newly-increased clean reproducible energy generated energy of all m classes of adapted electric system j of paying close attention to accounts for the ratio of j power consumption demand; be the generating contribution rate of the newly-increased clean reproducible energy k of j, represent than standard year, the newly-increased clean reproducible energy k generated energy of adapted electric system j of paying close attention to accounts for the ratio of j power consumption demand, and computing method are:

${\mathrm{\θ}}_{k,j}^{\left(\mathrm{clean}\right)}=\frac{{\mathrm{\ΔQ}}_{k,j}^{\left(\mathrm{clean}\right)}}{Q_j}---\left(27\right)$

In formula (27)

be the newly-increased clean energy resource generated energy of j, its computing method are provided by formula (3); Q _jfor j under non intelligent adapted electric system condition pays close attention to the total electricity consumption of adapted electrical network.

6. intelligent adapted electric system carbon emission reduction according to claim 1 is evaluated and measuring method, it is characterized in that, the intelligent adapted electric system of described foundation promotes carbon emission reduction accumulation comprehensive benefit evaluating method to be:

J intelligence adapted electric system promotes the comprehensive benefit of carbon emission reduction to be:

$C_j^{\left(\mathrm{all}\right)}=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{C}_j^{\left(i\right)}---\left(28\right)$

Wherein,

for the carbon emission reduction amount that power supply structure optimization causes, computing method are provided by formula (1);

for power distribution network synergy reduces the carbon emission reduction amount that network loss causes, computing method are provided by formula (5);

for user is energy-conservation, reduce the carbon emission reduction amount that power consumption causes, computing method are provided by formula (14);

for load shaping improves the carbon emission reduction amount that rate of load condensate causes, computing method are provided by formula (18); Further obtaining the measuring and calculating cycle is N time intelligence adapted electric system promotes the accumulative total comprehensive benefit of carbon emission reduction to be:

$C^{\left(\mathrm{all}\right)}=\underset{j=1}{\overset{N}{\mathrm{\Σ}}}\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{C}_j^{\left(i\right)}---\left(29\right).$

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