CN103559651A - Quantization representation and calculation analysis method for power-conservation amount of power distribution network - Google Patents

Abstract

The invention discloses a quantization representation and calculation analysis method for power-conservation amount of a power distribution network. The quantization representation and calculation analysis method for the power-conservation amount of the power distribution network comprises the following steps of building a power-conservation quantization and analysis technical platform for the power distribution network, classifying power-conservation measures for the power distribution network, calculating specific quantization indexes of each power-conservation measure, converting the quantization indexes of each power-conservation measure into plus and minus quantization indexes, forming comprehensive quantization indexes X sigma of the power distribution network, and analyzing the good or poor effects of different power-conservation schemes according to the quantization indexes. The quantization representation and calculation analysis method for the power-conservation amount of the power distribution network can overcome the defects in the prior art, such as high cost, a small application range and a poor power-conservation effect, and has the advantages of being low in cost, wide in application range and good in power-conservation effect.

Description

A kind of power distribution network amount of energy saving quantization signifying and computational analysis method

Technical field

The present invention relates to 220kV and following electric pressure power distribution network field of energy-saving technology, particularly, relate to a kind of power distribution network amount of energy saving quantization signifying and computational analysis method.

Background technology

Advocating energetically under the overall situation of production energy-saving, the research of the energy-conservation aspect of power distribution network is comparatively extensive.On the one hand, for distinct device, different principle, different electric pressure power distribution network, propose power distribution network conservation measures numerous, but the energy-saving effect of multiple technologies method is different, the scope of application is different, cost of investment is different, and nothing is applicable to all kinds of measures and all accurate direct quantization method; Multiple conservation measures interactive application, makes energy-saving effect quantize to need to consider whole structure on the other hand.Therefore propose a kind of amount of energy saving that can quantize power distribution network synthesis energy saving measure how many, the method for analyzing the energy-conservation distribution effect of contrast is significant.

At present, the analysis of power distribution network energy-saving effect is all from monotechnics method, does not consider the integrated quantification effect of multiple conservation measures, need to set up a kind of comprehensive quantification index and analytical approach that is applicable to power distribution network integrated energy-saving.

In realizing process of the present invention, inventor finds at least to exist in prior art the defect such as cost is high, the scope of application is little and energy-saving effect is poor.

Summary of the invention

The object of the invention is to, for the problems referred to above, propose a kind of power distribution network amount of energy saving quantization signifying and computational analysis method, to realize, cost is low, the scope of application large and the advantage of good energy-conserving effect.

For achieving the above object, the technical solution used in the present invention is: a kind of power distribution network amount of energy saving quantization signifying and computational analysis method, comprising:

Step 1: set up power distribution network amount of energy saving fractional analysis technology platform;

Step 2: power distribution network conservation measures classification;

Step 3: the concrete quantizating index that calculates every conservation measures;

Step 4: the measures quantizating index in all kinds of measures is converted into positive and negative quantizating index;

Step 5: form the energy-conservation comprehensive quantification index of power distribution network X ∑, good and bad according to the effect of the different energy-saving schemes of quantizating index Analyzing on Size, wherein $X_{\mathrm{\Σ}}=\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{X}_{+i}+\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{X}_{-i}.$

Further, in step 1, described this power distribution network amount of energy saving fractional analysis technology platform, mainly comprises data acquisition function module, computing function module and the energy-conservation comprehensive quantification analytic function module of each conservation measures of regional power grid.

Further, in step 2, the operation of described power distribution network conservation measures classification, specifically comprises:

First kind conservation measures mainly comprises the application of novel energy-conserving technological innovation, is specially electromagnetism control technique and suppresses surge technology;

Equations of The Second Kind power distribution network energy-saving application product mainly comprises the application of secondary utility appliance, is specially phase splitting compensation and three-phase equilibrium device, filter apparatus;

The 3rd class power distribution network reducing energy consumption technique mainly comprises the application that existing equipment is undergone technological transformation, and is specially metering ammeter technological transformation, distribution line transformation and changes old high energy consumption distribution transforming depressor.

Further, in step 3, the operation of the concrete quantizating index of the every conservation measures of described calculating, specifically comprises:

Calculate the energy-conservation quantizating index reference value of each measure first respectively; Next sets specific load and unit interval, calculates the energy-conservation quantification actual value of concrete measure.

Further, in step 4, the described conversion process that measures quantizating index in all kinds of measures is converted into positive and negative quantizating index, specifically comprises:

Step 41: calculate direct index;

Step 42: based on above-mentioned gained direct index, calculate weight coefficient.

Further, in step 41, the operation of described calculating direct index, specifically comprises:

Step 101: utilize formula (1) to calculate direct index:

$\left\{\begin{array}{c}{X}_{+\mathrm{Ai}}=X_{\mathrm{Ai}}\·K_{\mathrm{Ai}}\×100\\ X_{+\mathrm{Bi}}=X_{\mathrm{Bi}}\·K_{\mathrm{Bi}}\×100\\ X_{+\mathrm{Ci}}=X_{\mathrm{Ci}}\·K_{\mathrm{Ci}}\×100\end{array}\right.---\left(1\right);$

Wherein KAi, KBi, KCi are direct index weight coefficient;

Step 102: utilize formula (2) to calculate direct index:

$\left\{\begin{array}{c}{X}_{-\mathrm{Ai}}=X_{\mathrm{Ai}}\·F_{\mathrm{Ai}}\×100\\ X_{-\mathrm{Bi}}=X_{\mathrm{Bi}}\·F_{\mathrm{Bi}}\×100\\ X_{-\mathrm{Ci}}=X_{\mathrm{Ci}}\·F_{\mathrm{Ci}}\×100\end{array}\right.---\left(2\right);$

Wherein FAi, FBi, FCi are negative index weights coefficient.

Further, in step 42, the operation of described calculating weight coefficient, specifically comprises:

The numerical value of positive and negative index weights coefficient can according to circumstances select a kind of mathematical method to determine, or has that experience value is given all can;

In formula (1) and formula (2), index XAi, XBi, the XCi of a certain measure all calculate its numerical value, regulation be on the occasion of; Weight coefficient characterizes the positive negative characteristic of positive and negative index, stipulate positive weight coefficient on the occasion of, and to have all direct index weight coefficient sums be 1; Negative weight coefficient is negative value, and to have all negative index weights coefficient sums be-1.

The power distribution network amount of energy saving quantization signifying of various embodiments of the present invention and computational analysis method, owing to comprising: set up power distribution network amount of energy saving fractional analysis technology platform; Power distribution network conservation measures classification; Calculate the concrete quantizating index of every conservation measures; Measures quantizating index in all kinds of measures is converted into positive and negative quantizating index; Form the energy-conservation comprehensive quantification index of power distribution network X ∑, good and bad according to the effect of the different energy-saving schemes of quantizating index Analyzing on Size; Can solve the measure of quantitative evaluation power distribution network synthesis energy saving, analyze the problem of its energy-saving effect quality, for power distribution network energy-saving run provides reference; Thereby can overcome the defect that in prior art, cost is high, the scope of application is little and energy-saving effect is poor, to realize, cost is low, the scope of application large and the advantage of good energy-conserving effect.

Other features and advantages of the present invention will be set forth in the following description, and, partly from instructions, become apparent, or understand by implementing the present invention.

Below by drawings and Examples, technical scheme of the present invention is described in further detail.

Accompanying drawing explanation

Accompanying drawing is used to provide a further understanding of the present invention, and forms a part for instructions, for explaining the present invention, is not construed as limiting the invention together with embodiments of the present invention.In the accompanying drawings:

Fig. 1 is the structural representation of power distribution network amount of energy saving fractional analysis technology platform in power distribution network amount of energy saving quantization signifying of the present invention and computational analysis method;

Fig. 2 is conservation measures classification schematic diagram in power distribution network amount of energy saving quantization signifying of the present invention and computational analysis method;

Fig. 3 is power distribution network amount of energy saving fractional analysis process flow diagram in power distribution network amount of energy saving quantization signifying of the present invention and computational analysis method;

Fig. 4 is a power distribution network schematic diagram in power distribution network amount of energy saving quantization signifying of the present invention and computational analysis method.

Embodiment

Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein, only for description and interpretation the present invention, is not intended to limit the present invention.

According to the embodiment of the present invention, as Figure 1-Figure 4, a kind of power distribution network amount of energy saving quantization signifying and computational analysis method are provided.This power distribution network amount of energy saving quantization signifying and computational analysis method, the quantization method that has comprised all kinds of conservation measuress, considered the whole energy effect of multiple conservation measures integrated application, the principle of applying the two-way stack of positive and negative quantizating index is unitized by each single index, formed the energy-conservation comprehensive quantification analytical approach of power distribution network, for the selection of the measure of power distribution network integrated energy-saving and scheme provides guidance.

The power distribution network amount of energy saving quantization signifying of the present embodiment and computational analysis method, comprising:

Step 1: set up power distribution network amount of energy saving fractional analysis technology platform.By technology platform, collect each conservation measures implementation data that gathers regional distribution network, carry out on this basis the fractional analysis of regional distribution network amount of energy saving.

Step 2: power distribution network conservation measures classification, the first kind is new technology, new method conservation measures; Equations of The Second Kind is power distribution network energy-saving application product; The 3rd class is power distribution network reducing energy consumption technique;

Step 3: the quantizating index that calculates all kinds of conservation measuress.According to the different emphasis of three class measures, formulate and calculate the quantizating index reference value of three class conservation measuress.The first kind stresses the variation of the amount of energy saving that the application of novel technical method causes, Equations of The Second Kind stresses the difference between product integrated cost and energy-conservation return, and the 3rd class stresses to transform the difference between the comprehensive method of investment and energy-conservation return;

Step 3 is specifically:

Step 101: the quantizating index XAi that formulates first kind new technology, new method conservation measures (Ai), the distribution network loss amount Wi that the definition user of unit produces within the unit interval is for quantizing reference value SBAi, contrast before and after energy-conserving product Ai application, the quantification actual value SAi that the poor △ W of the network loss △ of a hour is Ai, quantizating index:

X _Ai=S _Ai/S _BAi；

Step 102: the energy-conservation quantizating index XBi that formulates Equations of The Second Kind energy-saving application product (Bi), the long-run cost rate MBi of definition energy-conserving product Bi is for quantizing reference value SBBi, contrast before and after conservation measures Bi application, the quantification actual value SBi that the poor △ W of the network loss △ of unit interval is Bi, quantizating index:

X _Bi=S _Bi/S _BBi；

Step 103: the energy-conservation quantizating index XCi that formulates the 3rd class reducing energy consumption technique (Ci), the unit interval investment TCi of definition reducing energy consumption technique Ci is for quantizing reference value SBCi, contrast before and after conservation measures Ci application, the quantification actual value SCi that the poor △ W of the network loss △ of unit interval is Ci, quantizating index:

X _Ci=S _Ci/S _BCi；

Step 4: each the conservation measures quantized value in three class measures is converted into positive and negative quantizating index, wherein the positive quantizating index of efficiency evaluation (X+) refers to the index that efficiency level improves along with the increase of desired value, reduces and reduces, and negative quantizating index (X-) refers to the index that efficiency level reduces along with the increase of desired value, reduces and improves;

Step 5: positive and negative index weighting forms the energy-conservation comprehensive quantification index of power distribution network X ∑, with the whole structure of comprehensive quantification index reaction power distribution network conservation measures.

Particularly, referring to Fig. 1-Fig. 3, the power distribution network amount of energy saving quantization signifying of above-described embodiment and computational analysis method, comprising:

Step 1: set up power distribution network amount of energy saving fractional analysis technology platform, this power distribution network amount of energy saving fractional analysis technology platform mainly comprises data acquisition function, computing function and the energy-conservation comprehensive quantification analytic function of each conservation measures of regional power grid, specifically as shown in Figure 1.

Step 2: power distribution network conservation measures classification.Wherein first kind new technology, new method conservation measures mainly comprise the application of novel energy-conserving technological innovation, such as electromagnetism control technique, inhibition surge technology etc.; Equations of The Second Kind power distribution network energy-saving application product mainly comprises the application of secondary utility appliance, such as phase splitting compensation and three-phase equilibrium device, filter apparatus etc.; The 3rd class power distribution network reducing energy consumption technique mainly comprises the application that existing equipment is undergone technological transformation, and such as metering ammeter technological transformation, distribution line are transformed, changed old high energy consumption distribution transforming depressor etc., classification situation as shown in Figure 2;

Step 3: the concrete quantizating index that calculates every conservation measures.Calculate the energy-conservation quantizating index reference value of each measure first respectively; Next sets specific load and unit interval, calculates the energy-conservation quantification actual value of concrete measure.

Step 4: the measures quantizating index in all kinds of measures is converted into positive and negative quantizating index.The conversion process of positive and negative quantizating index is specifically:

Step 101: utilize formula (1) to calculate direct index:

$\left\{\begin{array}{c}{X}_{+\mathrm{Ai}}=X_{\mathrm{Ai}}\·K_{\mathrm{Ai}}\×100\\ X_{+\mathrm{Bi}}=X_{\mathrm{Bi}}\·K_{\mathrm{Bi}}\×100\\ X_{+\mathrm{Ci}}=X_{\mathrm{Ci}}\·K_{\mathrm{Ci}}\×100\end{array}\right.---\left(1\right);$

Wherein KAi, KBi, KCi are direct index weight coefficient.

Step 102: utilize formula (2) to calculate direct index:

$\left\{\begin{array}{c}{X}_{-\mathrm{Ai}}=X_{\mathrm{Ai}}\·F_{\mathrm{Ai}}\×100\\ X_{-\mathrm{Bi}}=X_{\mathrm{Bi}}\·F_{\mathrm{Bi}}\×100\\ X_{-\mathrm{Ci}}=X_{\mathrm{Ci}}\·F_{\mathrm{Ci}}\×100\end{array}\right.---\left(2\right);$

Wherein FAi, FBi, FCi are negative index weights coefficient.

Step 103: calculate weight coefficient.The numerical value of positive and negative index weights coefficient can according to circumstances select a kind of mathematical method to determine, or has that experience value is given all can.In above-mentioned formula, index XAi, XBi, the XCi of a certain measure all calculate its numerical value, regulation be on the occasion of; Weight coefficient characterizes the positive negative characteristic of positive and negative index, stipulate positive weight coefficient on the occasion of, and to have all direct index weight coefficient sums be 1; Negative weight coefficient is negative value, and to have all negative index weights coefficient sums be-1.

Step 5: form the energy-conservation comprehensive quantification index of power distribution network X ∑, good and bad according to the effect of the different energy-saving schemes of quantizating index Analyzing on Size, wherein

the flow process of power distribution network amount of energy saving fractional analysis method as shown in Figure 3.

For example, Fig. 4 is a distribution net work structure schematic diagram.Referring to Fig. 4, the power distribution network amount of energy saving quantization signifying of above-described embodiment and computational analysis method, comprising:

Step 1: according to power distribution network shown in Fig. 4, set up power distribution network amount of energy saving fractional analysis technology platform.

Step 2: add up energy-saving information by technology platform, choose two kinds of concrete energy-conservation allocation plans.The concrete configuration situation of two schemes is as shown in table 1.

table 1: two kinds of energy-saving scheme concrete configuration situations list

Step 3: the concrete quantizating index that calculates respectively two every conservation measuress of scheme.Result of calculation is as shown in table 2.

table 2: two kinds of energy-conservation quantizating index of energy-saving scheme measures

Step 4: two schemes measures quantizating index is converted into positive and negative quantizating index.In this example, measures is of equal importance, gets equal weight coefficient.In scheme one, the weight coefficient of A1, A2, A3, B1, C1, for just, is the weight coefficient of 0.2, B2, C2 for negative, is-0.5; Weight coefficient in scheme two in A1, A2, B3, C1, for just, is the weight coefficient of 0.25, B1, B2, C2 for negative, is-1/3.

Step 5: quantize two kinds of energy-saving schemes.The comprehensive quantification index X ∑ that calculates two schemes, the above-mentioned computational data of substitution solves.

Scheme one: X ∑ 1=(0.24*0.2+0.45*0.2+0.46*0.2+0.39*0.2+0.65*0.2) * 100-(0.4*0.5+0.3*0.5) * 100=8.800;

Scheme two: X ∑ 2=(0.35*0.25+0.47*0.25+0.37*0.25+0.57*0.25) * 100-(0.52*1/3+0.3*1/3+0.27*1/3)=7.667.

By this power distribution network amount of energy saving fractional analysis method, calculate, the energy-saving effect of scheme one is better than scheme two, is more suitable for carrying out synthesis energy saving in this distribution network.

Above-mentioned instance analysis shows: the power distribution network amount of energy saving quantization signifying of the various embodiments described above of the present invention and computational analysis method, have following characteristics:

(1) set up the quantizating index of multinomial conservation measures, the energy-saving effect of multiple conservation measures has been carried out to system quantifies, then by comprehensive quantification index, carried out the quality of an energy-saving scheme of whole measurement;

(2) overcome conservation measures mixed and disorderly, be difficult to the problem of integrated analysis;

(3) for choosing of power distribution network energy-saving scheme provides guidance.

The power distribution network amount of energy saving quantization signifying of the various embodiments described above of the present invention and computational analysis method, comprising: set up power distribution network amount of energy saving fractional analysis technology platform, comprise electric distribution network data collection, calculating and energy-conservation quantization function; Power distribution network conservation measures classification, the first kind is that new technology, new method conservation measures, Equations of The Second Kind are that energy-saving application product, the 3rd class are energy saving retrofit technology; The quantizating index of the every conservation measures of classified calculating, is translated into positive and negative quantizating index; Calculate each positive and negative quantizating index weight coefficient, form the energy-conservation comprehensive quantification index of power distribution network.This power distribution network amount of energy saving quantization signifying and computational analysis method, for the power distribution network of actual motion provides guidance.

Finally it should be noted that: the foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, although the present invention is had been described in detail with reference to previous embodiment, for a person skilled in the art, its technical scheme that still can record aforementioned each embodiment is modified, or part technical characterictic is wherein equal to replacement.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (7)

1. power distribution network amount of energy saving quantization signifying and a computational analysis method, is characterized in that, comprising:

Step 1: set up power distribution network amount of energy saving fractional analysis technology platform;

Step 2: power distribution network conservation measures classification;

Step 3: the concrete quantizating index that calculates every conservation measures;

Step 4: the measures quantizating index in all kinds of measures is converted into positive and negative quantizating index;

Step 5: form the energy-conservation comprehensive quantification index of power distribution network X ∑, good and bad according to the effect of the different energy-saving schemes of quantizating index Analyzing on Size, wherein $X_{\mathrm{\Σ}}=\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{X}_{+i}+\underset{i=1}{\overset{N}{\mathrm{\Σ}}}{X}_{-i}.$

2. power distribution network amount of energy saving quantization signifying according to claim 1 and computational analysis method, it is characterized in that, in step 1, described this power distribution network amount of energy saving fractional analysis technology platform, mainly comprises data acquisition function module, computing function module and the energy-conservation comprehensive quantification analytic function module of each conservation measures of regional power grid.

3. power distribution network amount of energy saving quantization signifying according to claim 1 and computational analysis method, is characterized in that, in step 2, the operation of described power distribution network conservation measures classification, specifically comprises:

First kind conservation measures mainly comprises the application of novel energy-conserving technological innovation, is specially electromagnetism control technique and suppresses surge technology;

Equations of The Second Kind power distribution network energy-saving application product mainly comprises the application of secondary utility appliance, is specially phase splitting compensation and three-phase equilibrium device, filter apparatus;

The 3rd class power distribution network reducing energy consumption technique mainly comprises the application that existing equipment is undergone technological transformation, and is specially metering ammeter technological transformation, distribution line transformation and changes old high energy consumption distribution transforming depressor.

4. power distribution network amount of energy saving quantization signifying according to claim 1 and computational analysis method, is characterized in that, in step 3, the operation of the concrete quantizating index of the every conservation measures of described calculating, specifically comprises:

Calculate the energy-conservation quantizating index reference value of each measure first respectively; Next sets specific load and unit interval, calculates the energy-conservation quantification actual value of concrete measure.

5. according to the power distribution network amount of energy saving quantization signifying described in any one in claim 1-4 and computational analysis method, it is characterized in that, in step 4, the described conversion process that measures quantizating index in all kinds of measures is converted into positive and negative quantizating index, specifically comprises:

Step 41: calculate direct index;

Step 42: based on above-mentioned gained direct index, calculate weight coefficient.

6. power distribution network amount of energy saving quantization signifying according to claim 5 and computational analysis method, is characterized in that, in step 41, the operation of described calculating direct index, specifically comprises:

Step 101: utilize formula (1) to calculate direct index:

$\left\{\begin{array}{c}{X}_{+\mathrm{Ai}}=X_{\mathrm{Ai}}\·K_{\mathrm{Ai}}\×100\\ X_{+\mathrm{Bi}}=X_{\mathrm{Bi}}\·K_{\mathrm{Bi}}\×100\\ X_{+\mathrm{Ci}}=X_{\mathrm{Ci}}\·K_{\mathrm{Ci}}\×100\end{array}\right.---\left(1\right);$

Wherein KAi, KBi, KCi are direct index weight coefficient;

Step 102: utilize formula (2) to calculate direct index:

$\left\{\begin{array}{c}{X}_{-\mathrm{Ai}}=X_{\mathrm{Ai}}\·F_{\mathrm{Ai}}\×100\\ X_{-\mathrm{Bi}}=X_{\mathrm{Bi}}\·F_{\mathrm{Bi}}\×100\\ X_{-\mathrm{Ci}}=X_{\mathrm{Ci}}\·F_{\mathrm{Ci}}\×100\end{array}\right.---\left(2\right);$

Wherein FAi, FBi, FCi are negative index weights coefficient.

7. power distribution network amount of energy saving quantization signifying according to claim 6 and computational analysis method, is characterized in that, in step 42, the operation of described calculating weight coefficient, specifically comprises:

The numerical value of positive and negative index weights coefficient can according to circumstances select a kind of mathematical method to determine, or has that experience value is given all can;

In formula (1) and formula (2), index XAi, XBi, the XCi of a certain measure all calculate its numerical value, regulation be on the occasion of; Weight coefficient characterizes the positive negative characteristic of positive and negative index, stipulate positive weight coefficient on the occasion of, and to have all direct index weight coefficient sums be 1; Negative weight coefficient is negative value, and to have all negative index weights coefficient sums be-1.

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