CN106339825A - Energy saving evaluation method for power supply and distribution networks of industrial enterprises - Google Patents

Energy saving evaluation method for power supply and distribution networks of industrial enterprises Download PDF

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CN106339825A
CN106339825A CN201610865830.XA CN201610865830A CN106339825A CN 106339825 A CN106339825 A CN 106339825A CN 201610865830 A CN201610865830 A CN 201610865830A CN 106339825 A CN106339825 A CN 106339825A
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evaluation
distribution
computer
energy saving
network
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倪福银
沃松林
罗印升
钱志文
朱幼莲
程钦
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Jiangsu University of Technology
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Jiangsu University of Technology
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80—Management or planning
    • Y02P90/82—Energy audits or management systems therefor
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention provides an energy saving evaluation method for power supply and distribution networks of industrial enterprises. The method is implemented by an evaluation system composed of a plurality of RS485 electric energy meters, RS485 buses, ZigBee wireless networks, the Ethernet, an electric power data collection computer and a power supply and distribution energy saving evaluation computer. The evaluation method mainly comprises the steps of setting up an index system and judgment levels, setting index sample values, training a CPN model, and evaluating energy saving levels through the trained CPN model after grading is conducted through experts and the computers. The method has the advantages of convenience in implementation, low cost, reasonability, rapidness and high reliability of evaluation results. With the method adopted, energy saving related factors of the power supply and distribution networks can be effectively analyzed, and energy saving and efficiency improvement can be assisted for the enterprises.

Description

Industrial undertaking's distribution network Evaluation on Energy Saving method
The application be Application No. 201310119872.5, the applying date be on April 8th, 2013, invention and created name be " work The divisional application of the application for a patent for invention of industry enterprise distribution network Evaluation on Energy Saving system and appraisal procedure ".
Technical field
The present invention relates to industrial undertaking's distribution network Evaluation on Energy Saving technical field is and in particular to a kind of use to refreshing to propagating Through network (cpn) method, industrial undertaking's distribution network is carried out with system and the appraisal procedure of Evaluation on Energy Saving.
Background technology
Power Consumption of Industrial Enterprises accounts for more than the 70% of national economy power consumption.Industrial undertaking's using electricity wisely saves to enterprise itself Potentiation and then the development to whole national economy can all have and be of great significance.Energy Saving in Industrial Enterprises can from many ways starting with, The economize on electricity of the wherein distribution network of industrial undertaking is an important ring.At present, the operation present situation of the distribution network of industrial undertaking Not ideal enough, its electricity saving and energy saving is well worth doing: as reasonable selection power supply-distribution system place capacity reduces line loss, improves the negative of equipment Lotus rate, adopt the economic method of operation, adopt reactive power compensating apparatus to improve power factor, to carry out necessary load adjustment Limit with electricity consumption and produced to reduce or to shift peak load, to fill up low ebb load according to different electricity consumption rule reasonable arrangements Etc..
The system and method both at home and abroad industrial undertaking's distribution network energy-conservation being estimated with economical operation at present, are shown in and grind Study carefully.As Publication No. cn102208807a, entitled " the low and medium voltage distribution network energy efficiency evaluation side based on accurate measurement load data The Chinese patent literature of method ", it discloses a kind of low and medium voltage distribution network energy efficiency evaluation side of the load data based on accurate measurement Method, to targetedly instructing distribution network planning reform strengthening, helps power distribution network operational management personnel to grasp power distribution network efficiency Ruuning situation is it is ensured that power distribution network is reliable, economical operation.But this patent documentation is not set up clearly to enterprise's distribution network economize on electricity Index system.And for example Publication No. cn102521714a, entitled " method and device of structure kpi Grade Model, energy consumption assessment The Chinese patent literature of method and system ", it discloses a kind of method building kpi (KPI Key Performance Indicator method) Grade Model and Device, energy consumption evaluation method and system, by building kpi Grade Model, evaluate all kinds of enterprises different times kpi index and To the energy consumption level comprehensive grading of enterprise to provide corresponding comprehensive evaluation result, be given accordingly further according to comprehensive evaluation result Suggestion, makes enterprise accordingly adjust electricity consumption behavior with reducing energy consumption.The method does not explicitly point out enterprise's distribution network to be needed to carry out The link improved.
Content of the invention
The purpose of the present invention is: overcomes the deficiencies in the prior art, provides that a kind of structure is simple, realizes that convenient and cost is relatively low Industrial undertaking's distribution network Evaluation on Energy Saving system, and using this system using assessment side based on counterpropagation network Method, quickly and easily realizes industrial undertaking's distribution network Energy-saving Situation is estimated.
The technical scheme is that industrial undertaking's distribution network Evaluation on Energy Saving method of the present invention, it is by industrial undertaking Distribution network Evaluation on Energy Saving system is implemented, and this industrial undertaking's distribution network Evaluation on Energy Saving system includes rs485 electric energy meter, rs485 Bus, zigbee wireless network, Ethernet, electric power data acquisition computer and supply distribution Evaluation on Energy Saving computer；
Above-mentioned rs485 electric energy meter is provided with more than 2；Zigbee wireless network includes zigbee harvester and zigbee net Network terminal, zigbee harvester is identical with the number of rs485 electric energy meter with the number of zigbee network terminal；Electric power data acquisition Computer is the computer being built-in with electric power data acquisition and calculation procedure；It is to be built-in with to be based on for distribution Evaluation on Energy Saving computer The computer of the assessment software of counterpropagation network method；
Each rs485 electric energy meter is electrically connected with corresponding zigbee harvester signal by rs485 bus respectively；Zigbee adopts Storage is electrically connected by wireless communication network signal with corresponding zigbee network terminal；Each zigbee network terminal is respectively led to Cross Ethernet to electrically connect with electric power data acquisition Computer signal；Electric power data acquisition computer passes through Ethernet and for distribution section Computer signal electrical connection can be assessed；
A kind of industrial undertaking distribution network energy-conservation realized based on above-mentioned industrial undertaking's distribution network Evaluation on Energy Saving system Appraisal procedure, comprises the following steps:
1. Real-time Collection distribution network runs related data and transmits to electric power data acquisition computer；
2. electric power data acquisition computer calculate electric load, reactive compensation capacity, load factor, power consumption, line loss per unit and The data value of short circuit current simultaneously transmits result of calculation to for distribution Evaluation on Energy Saving computer；
3. set up industrial undertaking's distribution network energy-saving index evaluation system in for distribution Evaluation on Energy Saving computer and arrange 5 Level evaluation rank；
4. set up the training sample set of evaluation index according to index evaluation system and grade scale: to each evaluation index according to Pyatyi judgment criteria, demarcation interval, then it is normalized, be placed on (0,1) interval, using uniform random number each Level index constant interval, 100 index sample values that interpolation randomly generates；
5. by training sample set input for the counterpropagation network model in distribution Evaluation on Energy Saving computer, it is right to carry out Learning training to Propagation Neural Network model；
6. according to parameters of electric power result of calculation, by assessment experts and computer, corresponding energy-conservation each to distribution network refers to respectively Mark assessment marking；Marking result is normalized, is allowed in the range of (0,1) and inputs the confession distribution section that training finishes The counterpropagation network model in computer can be assessed；
7. for distribution Evaluation on Energy Saving computer, the data of input is estimated drawing industrial undertaking's distribution network energy-conservation etc. Level；
Above-mentioned step 3. in energy-saving index evaluation system include power supply plan, transformator, power and distribution supply cable and electrical network 4 index groups of economical operation；
Power supply plan index group includes power supply mode, electrical main connecting wire, 3 indexs of power distribution equipment；
Transformator index group includes transformer capacity and model, addressing, 3 indexs of transformer economic operation；
Power and distribution supply cable index group includes plant area's wire erection or cable laying, workshop low-voltage circuit are laid, wire or electricity 3 indexs of the section selection of cable；
Economy operation of power grid index group includes Load adjustment and voltage management, three-phase load unbalance degree, power index pipe Reason and 4 indexs of grid line loss rate；
Above-mentioned step 5. in the algorithm of the learning training of counterpropagation network model comprise the following steps:
1. initialize and determine parameter: determine that input layer number n is 100, normalized input vector is x =[x1,x2,…,xn], determine that competition layer neuron p is 30, corresponding two-value output vector b=[b1, b2..., bp]t, defeated Go out a layer output vector y=[y1,y2..., yq]t, target output vector o=[o1,o2..., oq]t, q value is 5, is 5 of energy-conservation Grade, reader t=0；
Initialization input layer is to connection weight w of competition layerj(j=1,2 ..., connection p) with by competition layer to output layer Weight vk(k=1,2 ..., q), and to wjIt is normalized；
2. calculate the input of competition layer: ask the input of each neuron of competition layer as the following formula:
s j = σ i = 1 n x i ω j i , j = 1 , 2 , ... , p
3. calculate connection weight wjThe vector closest with x: be calculated as follows:
w g = m a x j = 1 , 2 , ... , p σ i = 1 n x i ω j i
4. the output of neuron g is set as 1, the output of remaining neuron is set as 0, that is,
b j = 1 , j = g 0 , j &notequal; g
5. revise connection weight wg: it is modified as the following formula and be normalized:
ωgi(t+1)=ωgi(t)+α[xi-ωgi(t)], i=1,2 ..., n, 0 < α < 1
6. calculate output: be calculated as follows out the real output value of neuron:
y k = &sigma; j = 1 p &upsi; k j b j , k = 1 , 2 , ... , q
7. revise connection weight vg: revise weight v as the following formulag:
υkg(t+1)=υkg(t)+βbj(yk-ok), k=1,2 ..., q, 0 < β < 1
8. return the 2. to walk, directly n input pattern is fully entered；
9. put t=t+1, input pattern x is re-supplied to e-learning, till t=t, wherein t is presetting Study total degree 5000.
Further scheme is: above-mentioned step 6. middle assessment experts to the power supply plan in energy-saving index system, transformation Device, power and distribution supply cable index group are estimated giving a mark, and score value, between 0 to 100, by three expert estimation, is then averaged, Respectively obtain assessment result e1,e2,e3；
In economy operation of power grid index group in energy-saving index system, rate of load condensate, degree of unbalancedness, power factor and line loss per unit Four parameters of electric power values are calculated by for distribution Evaluation on Energy Saving computer, draw assessment result e respectively4,e5,e6,e7；Thus Obtain data x of counterpropagation network model to be enteredi=[e1,e2,e3,e4,e5,e6,e7].
The present invention has positive effect: industrial undertaking's distribution network Evaluation on Energy Saving system of (1) present invention, structure letter Conveniently and cost is relatively low for list, realization.(2) industrial undertaking's distribution network Evaluation on Energy Saving method of the present invention, specifies power supply plan, change Depressor, power and distribution supply cable and the main index group of economy operation of power grid 4 constitute evaluation index system, wherein to power supply plan, Transformator, power and distribution supply cable index group assess marking by assessment experts to it, and economy operation of power grid index group is commented by computer Sentence, then comprehensive assessment, thus realizing being estimated in terms of subjective and objective two it is ensured that the integrity assessed is with rationally Property.(3) industrial undertaking's distribution network Evaluation on Energy Saving method of the present invention, take full advantage of counterpropagation network from group Knit, self-learning capability the advantages of, use it for the Evaluation on Energy Saving with industrial undertaking's distribution network of multiple factors, evaluation process Quickly, assessment result is with a high credibility, can effectively analyze the correlative factor affecting energy-conservation in industrial undertaking's distribution network, from And targetedly instruct enterprise to carry out related reducing energy consumption, realize industrial undertaking and improve power consumption efficiency, using electricity wisely cost, carry The purpose of high economic benefit.
Brief description
Fig. 1 is the structured flowchart of industrial undertaking of the present invention distribution network Evaluation on Energy Saving system；
Fig. 2 is the working procedure of system shown in Figure 1 and the schematic diagram of process；
The structure of the cpn network model that Fig. 3 is adopted by the appraisal procedure for distribution Evaluation on Energy Saving built-in computer in Fig. 1 Schematic diagram；
The group of the Evaluation on Energy Saving index system that Fig. 4 is adopted by industrial undertaking's distribution network Evaluation on Energy Saving method of the present invention Become structured flowchart；
Fig. 5 is the flow chart of industrial undertaking's distribution network Evaluation on Energy Saving method of the present invention.
Specific embodiment
The present invention is further detailed explanation with reference to the accompanying drawings and detailed description.
(embodiment 1)
See Fig. 1, industrial undertaking's distribution network Evaluation on Energy Saving method of the present embodiment, it is by industrial undertaking's distribution network energy-conservation Assessment system is implemented, and this system is mainly by rs485 electric energy meter, rs485 bus, zigbee wireless network, Ethernet, electric power data Collecting computer and for distribution Evaluation on Energy Saving computer composition.
Rs485 electric energy meter include rs485 electric energy meter 1 ... rs485 electric energy meter n, namely rs485 electric energy meter be provided with identical N.Number n of electric energy meter at least more than 2.In other words, number n of rs485 electric energy meter is set according to actual needs Put.In the present embodiment, rs485 electric energy meter preferably employs the acr230elh network electric power instrument of acrel company production.
Zigbee wireless network (Internet of Things) is provided with zigbee harvester and zigbee network terminal.Zigbee harvester bag Include zigbee harvester 1 ... zigbee harvester n, its number n is identical with number n of rs485 electric energy meter；Zigbee network Terminal include zigbee network terminal 1 ... zigbee network terminal n, its number n is identical with number n of rs485 electric energy meter.
Each rs485 electric energy meter is electrically connected with corresponding zigbee harvester signal by rs485 bus respectively；Zigbee adopts Storage is electrically connected by wireless communication network signal with corresponding zigbee network terminal；Each zigbee network terminal is respectively led to Cross Ethernet to electrically connect with electric power data acquisition Computer signal；Electric power data acquisition computer passes through Ethernet and for distribution section Computer signal electrical connection can be assessed.
Electric power data acquisition computer is the computer being built-in with electric power data acquisition and calculation procedure；Comment for distribution energy-conservation Estimating computer is the computer being built-in with the assessment software based on counterpropagation network method.Electric power data acquisition computer Pc machine all can be adopted with for distribution Evaluation on Energy Saving computer.
Referring to Fig. 2, industrial undertaking's distribution network Evaluation on Energy Saving system of the present embodiment, it passes through rs485 electric energy meter to enterprise Industry distribution network service data carries out Real-time Collection, and it mainly gathers the three-phase voltage current of enterprise's distribution network, voltage x current Imbalance, voltage harmonic, mains frequency, three phase power index (active power, reactive power), three-phase active energy, three-phase is no The parameters of electric power such as work(electric energy.The collection period that rs485 electric energy meter gathers parameters of electric power is 10min.
Electric power data acquisition computer after Ethernet receives distribution network service data, by built-in default journey Sequence is automatically main to the electric load of distribution network, reactive compensation capacity, load factor, power consumption, line loss per unit and short circuit current etc. Operation power data is wanted to be calculated:
Wherein, the calculating to the electric load in industrial undertaking's power-supply service is carried out using demand coefficient method, and formula is as follows:
k d = p c n p &sigma; n = k l k p &eta;&eta; l
In formula, kdFor Required coefficient, represent electrical equipment group when putting into operation of power networks, need to take from electrical network is actual The coefficient of colligation that active power be must take into；pcnSupply the peak load of electrical equipment group for busy hour electrical network, Unit kw；p∑nFor the specified total capacity of n platform motor, unit kw；klFor average weighted load coefficient；kpFor simultaneity factor, retouch State the probability that n platform motor runs simultaneously；η is the weighted average efficiency of n platform motor；ηlFor supply line's efficiency, typically take Value 0.95-0.98.
Reactive compensation capacity is calculated: determine compensation capacity q by improving power factorc, formula is:
In formula, p is peak load monthly average active power (kw),For power factor value before and after compensating.
To load factor kpCalculated, formula is:
kp=pp/pmax× 100%
In formula, ppFor the average burden with power of certain time, pmaxFor maximum burden with power.
Power consumption is calculated, power consumption copies sum for each electric energy meter.
Line loss per unit is calculated, the formula of employing is: line loss per unit=(1- electricity sales amount/delivery) * 100%.
Short circuit current is calculated.
Result of calculation is carried out for distribution Evaluation on Energy Saving computer by electric power data computer by Ethernet real-time Transmission Assessment:
The method being estimated for distribution Evaluation on Energy Saving computer, based on counterpropagation network (counter Propagation network, cpn) carry out the Evaluation on Energy Saving of distribution network.
See that Fig. 3, cpn are that Self-organizing Neural Networks are combined with grossberg basic competitive type network, play each special A kind of long novel feature mapping network.The network structure of cpn is as shown in figure 3, network is divided into input layer, competition layer and output Layer, input layer and competition layer constitute som network, and competition layer constitutes basic competitive type network with output layer.
See Fig. 4 and Fig. 5, industrial undertaking's distribution network Evaluation on Energy Saving method of the present embodiment, using aforesaid industrial undertaking Distribution network Evaluation on Energy Saving system is realized, and the method comprises the following specific steps that:
1) adopt by rs485 electric energy meter Real-time Collection distribution network operation related data and through system transfers to electric power data Collection computer；
2) electric power data acquisition computer calculate electric load, reactive compensation capacity, load factor, power consumption, line loss per unit and The data value of short circuit current, result of calculation is transmitted to for distribution Evaluation on Energy Saving computer by Ethernet.
3) Energy Saving in Industrial Enterprises index evaluation system, setting evaluation rank are set up in for distribution Evaluation on Energy Saving computer.
Index evaluation system is as shown in figure 4, specifically include that power supply plan, transformator, power and distribution supply cable, electrical network economy fortune 4 index groups such as row.Wherein:
Power supply plan index group includes power supply mode, electrical main connecting wire, 3 indexs of power distribution equipment；
Transformator index group includes transformer capacity and model, addressing, 3 indexs of transformer economic operation；
Power and distribution supply cable index group includes plant area's wire erection or cable laying, and workshop low-voltage circuit lays, wire or electricity 3 indexs of the section selection of cable；
Economy operation of power grid index group includes Load adjustment and voltage management, three-phase load unbalance degree, power index pipe Reason, 4 indexs of grid line loss rate.
The distribution network Evaluation on Energy Saving value of industrial undertaking is set from high to low and is divided into 5 grades, grade 1 represents user's electricity Power energy-saving index is outstanding, and various power equipments run rationally, energy-conservation；Grade 2 represents that electricity consumption is more reasonable, relative energy-saving；Deng Level 3 represents electricity consumption rationally, and energy-conservation is general；Class 4 represents that electricity consumption is less reasonable, and energy-conservation is less；Class 5 represents user power utilization very not Rationally, there is very big power wastage situation.
4) sample set of each index group is set up according to grade scale.For each index group single index respectively according to five Level judgment criteria, demarcation interval, then it is normalized, be placed on (0,1) interval, using uniform random number at different levels Index constant interval, 100 index sample values that interpolation randomly generates.
5) training sample set is input to for the cpn neural network model in distribution Evaluation on Energy Saving computer, carries out cpn god Learning training through network model, the algorithm of its learning training is as follows:
1. initialize and determine parameter.Determine that input layer number n is 100, normalized input vector is x =[x1,x2,…,xn], determine that competition layer neuron p is 30, corresponding two-value output vector b=[b1, b2..., bp]t, defeated Go out a layer output vector y=[y1,y2..., yq]t, target output vector o=[o1,o2..., oq]t, q value is 5, is 5 of energy-conservation Grade, reader t=0.
Initialization input layer is to connection weight w of competition layerj(j=1,2 ..., connection p) with by competition layer to output layer Weight vk(k=1,2 ..., q), and to wjIt is normalized.
2. calculate the input of competition layer.Ask the input of each neuron of competition layer by following equation:
s j = &sigma; i = 1 n x i &omega; j i , j = 1 , 2 , ... , p
3. calculate connection weight wjThe vector closest with x.Calculate by following equation:
w g = m a x j = 1 , 2 , ... , p &sigma; i = 1 n x i &omega; j i
4. the output of neuron g is set as 1, the output of remaining neuron is set as 0, that is,
b j = 1 , j = g 0 , j &notequal; g
5. revise connection weight wg.It is modified by following equation and be normalized:
ωgi(t+1)=ωgi(t)+α[xi-ωgi(t)], i=1,2 ..., n, 0 < α < 1
6. calculate output.It is calculated as follows out the real output value of neuron:
y k = &sigma; j = 1 p &upsi; k j b j , k = 1 , 2 , ... , q
7. revise connection weight vg.Revise weight v as the following formulag:
υkg(t+1)=υkg(t)+βbj(yk-ok), k=1,2 ..., q, 0 < β < 1
8. return the 2. to walk, directly n input pattern is fully entered.
9. put t=t+1, input pattern x is re-supplied to e-learning, till t=t, wherein t is presetting Study total degree is 5000 times.
6) the parameters of electric power result of calculation according to the transmission of electric power data acquisition computer, to 4 indexs in index system Group is given a mark.
Wherein by assessment experts, marking is assessed to it for power supply plan, transformator, power and distribution supply cable, score value is 0 to 100 Between, by three expert estimation, then average, respectively obtain assessment result e1,e2,e3.
Economical operation to electrical network, according to rate of load condensate, degree of unbalancedness, power factor, four parameters of electric power values of line loss per unit by Carry out objective computation for distribution Evaluation on Energy Saving computer, draw assessment result e respectively4,e5e6,e7.
Thus obtain data x of cpn network to be enteredi=[e1,e2,e3,e4,e5,e6,e7], its normalization is allowed to (0,1) in the range of.
7) aforesaid data to be assessed is commented using the cpn network model training for distribution Evaluation on Energy Saving computer Estimate and draw industrial undertaking's distribution network Power Saving Class.
In sum, industrial undertaking's distribution network Evaluation on Energy Saving system of the present embodiment, structure is simple, realize convenient and one-tenth This is relatively low.Industrial undertaking's distribution network Evaluation on Energy Saving method of the present embodiment, specifies power supply plan, transformator, power and distribution supply cable The Evaluation on Energy Saving index system constituting with 4 index groups of economy operation of power grid, wherein to power supply plan, transformator, supplies distribution wire Road index group assesses marking by assessment experts to it, to economy operation of power grid index group by Computer Judgement, then comprehensive assessment, Thus realizing being estimated in terms of subjective and objective two it is ensured that the integrity assessed and reasonability.The industry of the present embodiment Enterprise's distribution network Evaluation on Energy Saving method, take full advantage of counterpropagation network self-organizing, self-learning capability the advantages of, Use it for the Evaluation on Energy Saving with industrial undertaking's distribution network of multiple factors, evaluation process is quick, assessment result credibility Height, can analyze the correlative factor affecting energy-conservation in industrial undertaking's distribution network effectively, thus targetedly instructing enterprise Industry carries out related reducing energy consumption to distribution network, realizes industrial undertaking and improves power consumption efficiency, using electricity wisely cost, improves economic effect The purpose of benefit.
Above example is the explanation of the specific embodiment to the present invention, rather than limitation of the present invention, relevant technology The technical staff in field without departing from the spirit and scope of the present invention, can also make various conversion and change and obtain To corresponding equivalent technical scheme, therefore all equivalent technical schemes all should be included into the patent protection model of the present invention Enclose.

Claims (1)

1. a kind of industrial undertaking distribution network Evaluation on Energy Saving method, is implemented by industrial undertaking's distribution network Evaluation on Energy Saving system, institute The industrial undertaking's distribution network Evaluation on Energy Saving system stated includes rs485 electric energy meter, rs485 bus, zigbee wireless network, ether Net, electric power data acquisition computer and supply distribution Evaluation on Energy Saving computer；
Described rs485 electric energy meter is provided with more than 2；Zigbee wireless network includes zigbee harvester and zigbee network is whole End, zigbee harvester is identical with the number of rs485 electric energy meter with the number of zigbee network terminal；Electric power data acquisition calculates Machine is the computer being built-in with electric power data acquisition and calculation procedure；For distribution Evaluation on Energy Saving computer be built-in with based on to The computer of the assessment software of Propagation Neural Network method；
Each rs485 electric energy meter is electrically connected with corresponding zigbee harvester signal by rs485 bus respectively；Zigbee harvester Electrically connected by wireless communication network signal with corresponding zigbee network terminal；Each zigbee network terminal respectively pass through with Too net is electrically connected with electric power data acquisition Computer signal；Electric power data acquisition computer is commented with for distribution energy-conservation by Ethernet Estimate Computer signal electrical connection；
It is characterized in that: appraisal procedure comprises the following steps:
1. Real-time Collection distribution network runs related data and transmits to electric power data acquisition computer；
2. electric power data acquisition computer calculates electric load, reactive compensation capacity, load factor, power consumption, line loss per unit and short circuit The data value of electric current simultaneously transmits result of calculation to for distribution Evaluation on Energy Saving computer；
3. set up industrial undertaking's distribution network energy-saving index evaluation system in for distribution Evaluation on Energy Saving computer and arrange 5 grades and comment Sentence grade；
Described energy-saving index evaluation system includes power supply plan, transformator, power and distribution supply cable and 4 indexs of economy operation of power grid Group；
Power supply plan index group includes power supply mode, electrical main connecting wire, 3 indexs of power distribution equipment；
Transformator index group includes transformer capacity and model, addressing, 3 indexs of transformer economic operation；
Power and distribution supply cable index group includes plant area's wire erection or cable laying, workshop low-voltage circuit are laid, wire or cable 3 indexs of section selection；
Economy operation of power grid index group include Load adjustment and voltage management, three-phase load unbalance degree, power index management and 4 indexs of grid line loss rate；
4. set up the training sample set of evaluation index according to index evaluation system and grade scale: to each evaluation index according to Pyatyi Judgment criteria, demarcation interval, then it is normalized, be placed on (0,1) interval, using uniform random number in fingers at different levels Mark constant interval, 100 index sample values that interpolation randomly generates；
5. by training sample set input for the counterpropagation network model in distribution Evaluation on Energy Saving computer, carry out to biography Broadcast the learning training of neural network model；The algorithm of the learning training of counterpropagation network model comprises the following steps:
The first step, initialization and determination parameter: determine that input layer number n is 100, normalized input vector is X=[x1,x2,…,xn], determine that competition layer neuron p is 30, corresponding two-value output vector b=[b1, b2..., bp]t, defeated Go out a layer output vector y=[y1,y2..., yq]t, target output vector o=[o1,o2..., oq]t, q value is 5, is 5 of energy-conservation Grade, reader t=0；
Initialization input layer is to connection weight w of competition layerj(j=1,2 ..., connection weight p) with by competition layer to output layer vk(k=1,2 ..., q), and to wjIt is normalized；
Second step, calculates the input of competition layer: ask the input of each neuron of competition layer as the following formula:
s j = &sigma; i = 1 n x i &omega; j i , j = 1 , 2 , ... , p
3rd step, calculates connection weight wjThe vector closest with x: be calculated as follows:
w g = m a x j = 1 , 2 , ... , p &sigma; i = 1 n x i &omega; j i
4th step, the output of neuron g is set as 1, and the output of remaining neuron is set as 0, that is,
b j = 1 , j = g 0 , j &notequal; g
5th step, revises connection weight wg: it is modified as the following formula and be normalized:
ωgi(t+1)=ωgi(t)+α[xi-ωgi(t)], i=1,2 ..., n, 0 < α < 1
6th step, calculates output: be calculated as follows out the real output value of neuron:
y k = &sigma; j = 1 p &upsi; k j b j , k = 1 , 2 , ... , q
7th step, revises connection weight vg: revise weight v as the following formulag:
υkg(t+1)=υkg(t)+βbj(yk-ok), k=1,2 ..., q, 0 < β < 1
8th step, returns the and 2. walks, directly fully enter n input pattern；
9th step, puts t=t+1, and input pattern x is re-supplied to e-learning, and till t=t, wherein t is presetting Study total degree 5000；
6. according to parameters of electric power result of calculation, by assessment experts and computer, corresponding energy-saving index each to distribution network is commented respectively Estimate marking；Marking result is normalized, is allowed in the range of (0,1) and inputs and train the confession distribution energy-conservation finishing to comment Estimate the counterpropagation network model in computer；
7. for distribution Evaluation on Energy Saving computer, the data of input is estimated drawing industrial undertaking's distribution network Power Saving Class.
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