CN107239874A

CN107239874A - A kind of quality of power supply and energy-saving analysis system towards track traffic

Info

Publication number: CN107239874A
Application number: CN201710280252.8A
Authority: CN
Inventors: 郭敏; 金庆忍; 陈卫东; 楚红波; 高立克; 杨艺云
Original assignee: Electric Power Research Institute of Guangxi Power Grid Co Ltd
Current assignee: Electric Power Research Institute of Guangxi Power Grid Co Ltd
Priority date: 2017-04-26
Filing date: 2017-04-26
Publication date: 2017-10-10
Anticipated expiration: 2037-04-26
Also published as: CN107239874B

Abstract

The present invention relates to the track traffic quality of power supply and energy-saving analysis field, more particularly to a kind of quality of power supply and energy-saving analysis system towards track traffic, the system includes file management system, power-saving technology system, decision support system, the system is based on the Software Development Platforms of Visual Studio 2010 and uses C# programming languages and database SQL2008, the present invention realizes related energy-conservation work management and the information system management of technical documentation on the basis of using computer technology and database technology, on the one hand；On the other hand the inquiry to the related power consumption of detection unit, the function of statistics and analysis are realized；On the basis of comprehensive analysis is carried out to energy consumption data, electricity consumption unit energy consumption is estimated, be comprehensive system plan, implement, check, control and improve every management of power use activity, there is provided a rational foundation of comparison for implementation Whole Course Management.

Description

A kind of quality of power supply and energy-saving analysis system towards track traffic

Technical field

It is more particularly to a kind of towards track traffic the present invention relates to the track traffic quality of power supply and energy-saving analysis field The quality of power supply and energy-saving analysis system.

Background technology

Urban track traffic have freight volume big, quick comfortable, safety, on schedule, environmental protection, save the energy, take up an area it is few etc. Feature, has become the Main Means of each large- and-medium size cities solving road traffic jam issue.With flying for Chinese society economy Speed development and the increasingly propulsion of urbanization process, the scale of urban rail transit in China construction constantly expand, urban track traffic The quality of power supply and Effect of Transient Component to urban distribution network have increasingly shown.

Feeding System of Urban Rail Transit is responsible for electric train and provides traction electric power, and provides dynamic for various operating facilities Power mains lighting supply, is the large electricity consumer of urban distribution network.Urban track traffic power consumption cost accounts for whole operation costs simultaneously 30%~48%, thus should ensure tractive power supply system safety and high-quality operation on the premise of, rationally utilize existing energy Source and equipment, using various technologies and management means, make tractive power supply system and equipment accomplish economical operation, reduction electric power disappears Consumption, cuts operating costs.There are not the quality of power supply and energy-saving analysis system towards track traffic also at present.

The content of the invention

In order to solve the above problems, the invention provides a kind of quality of power supply towards track traffic and energy-saving analysis system System, concrete technical scheme is as follows：

A kind of quality of power supply and energy-saving analysis system towards track traffic includes：

(1) file management system：For improving existing organization and administration system, so that the sustainable development worked for energy-saving and emission-reduction Provide safeguard；The file management system includes management assurance module, ad hoc planning module, code planning module；The management Assurance module is used for policies, pertinent regulation system and carries out advocacy and training；The ad hoc planning module is used to formulate corresponding Planning；The code planning module is used to formulate the program or step that must comply with when operation equipment or processing business；

(2) power-saving technology system：Effective utilization for realizing electric energy by using new technological means, while reduction is dynamic Power electric consumption on lighting energy consumption；The power-saving technology system include energy consumption equipment systems technology module, utilization of regenerative energy technology modules, Energy-conserving control technology module；The energy consumption equipment systems technology module is used for using corresponding power-saving technology control track traffic system Energy consumption equipment in system, so as to reduce energy consumption；The utilization of regenerative energy technology modules are used to reduce using renewable sources of energy technology Energy consumption；The energy-conserving control technology module is used to reduce energy consumption using corresponding power-saving technology；

(3) decision support system：For providing support foundation by correlation analysis method for electric energy decision-making；The decision-making branch Support body system includes electric energy statistical query module, electric energy energy consumption analysis module, power consumption index evaluation module, power consumption index prediction mould Block；The electric energy statistical query module is used to the electric energy of each live unit is used and disappeared according to the real time information of electric energy metrical Consumption situation carries out statistics, and there is provided time-based graphics data query function and various analysis charts and report with comparative analysis Table；The electric energy energy consumption analysis module is used for the energy consumption for analyzing Rail Transit System, to provide Rail Transit System power consumption Foundation；The power consumption index evaluation module is used to choose power consumption index and quantify, to assess the electricity consumption situation of track traffic；Institute It is that objectively prediction is carried out rationally to power consumption index to state power consumption index prediction module, predicts change of the electric load in future period Change trend and state, so as to provide certain reference value for assigning for power index.

Further, including server hardware and the operating systems of Windows Server 2008, based on Visual Studio 2010 Software Development Platforms use C# programming languages and database SQL2008, and used system architecture is SQL2008+ ADO.NET+ASP.NET；The operational mode used is browser/WEB server/database server three-tier architecture mould Formula.

Further, the management assurance module includes policy safeguard unit, institutional guarantee unit, advocacy and training unit；Institute Stating ad hoc planning module includes network energy-saving planning implementation outline unit, operation maintenance Energy Saving planning unit, construction project Energy Saving planning unit；It is real that the code planning module includes network energy-saving planning implementation outline unit, operation maintenance energy-conservation Apply planning unit, construction project Energy Saving planning unit.

Further, the implementation that the energy-conserving control technology module is used includes Reasonable adjustment electric power system operation side Formula, Reasonable adjustment working voltage, using Power Saving Technology for Transformer, adjust DC traction system economical operation, using intellectuality Software systems；

The Reasonable adjustment electric power system method of operation is included when the outside that DC power-supply system is introduced is drawn in track traffic Power connection is that possess the rectification change of track traffic traction DC power-supply system and distribution when electric condition is changed in cyclization to become use One one standby mode of fortune is run, when the external power source mode of connection that DC power-supply system introducing is drawn in track traffic is that do not possess conjunction Ring then stops whole rectification changes when changing electric condition and the distribution of half quantity becomes operation；

The Reasonable adjustment working voltage includes：Take and carry when network load loss and the ratio of open circuit loss are more than 1 The mode of high working voltage, the mode of reduction working voltage is taken when the ratio of network load loss and open circuit loss is less than 1, Improve or the percentage and copper, iron loss ratio of reduction working voltage are related；

The use Power Saving Technology for Transformer includes from energy saving transformer and makes transformer economic operation；

The economical operation of the adjustment DC traction system refers in Reasonable adjustment track traffic traction DC power-supply system Traction substation, the operation of contact net, power supply mode, rationally determine tractive transformer capacity make its load factor 92% and More than；The Rectification Power Factor of track traffic traction DC power-supply system is using two parallel runnings；Reasonable selection train regenerative braking Energy absorbing device；It is described to refer to add remote meter reading in electric power monitoring system (SCADA) using intelligentized software systems Function, collection power supply, electrical equipment electricity, carries out statistic of classification.

Further, the electric energy energy consumption analysis module includes train traction energy consumption analysis unit and station energy consumption analysis list Member；The influence factor of train traction energy consumption includes line condition, type of train, form of train formation, train load factor；Station energy Consumption includes lighting energy consumption, power consumption；The lighting energy consumption includes illuminating station energy consumption, interval lighting energy consumption；The station is shone Bright energy consumption includes operating illumination energy consumption, electric saving illumination energy consumption, emergency lighting energy consumption, sign for safe evacuation lighting energy consumption, advertising lighting energy Consumption；The power consumption includes escalator system energy consumption, air conditioning energy consumption.

Further, in the electric energy energy consumption analysis module electric energy energy consumption influence factor include element of time, regional feature, Station key element, circuit energy-conservation are broken, vehicle key element, equipment key element, season key element；Electric energy energy consumption analysis uses gray relative analysis method Grey relational grade analysis is carried out to each key element, comprised the following steps that：

(1) original data processing：Using the average value that initial data is subtracted to initial data and then again divided by initial data Standard deviation method to initial data carry out nondimensionalization processing；

(2) calculate correlation coefficient：Analytical sequence is determined first, if dependent variable data constitute reference sequences X '₀, each independent variable Data constitute comparative sequences X '_i(i=1,2,3 ... n), n data sequence formation matrix as formula 1. shown in：

In formula, X '_iRepresent host element, matrix 1. in the 1st row represent analysis sample data, row represent host element, square Battle array itself represents a main factor；

(3) nondimensionalization is carried out to Variables Sequence：2. nondimensionalization is carried out to Variables Sequence using formula,

X_ijFor the nondimensionalization result of host element i j-th of index；X′_ijFor host element i j-th of initial data indexCorresponding to the average value of initial data index, st (X '_ij) be corresponding to initial data index standard deviation；

After nondimensionalization processing, each factor sequence formation matrix as formula 3. shown in：

For each main factor, optimal sample data is selected as reference sequences, the bigger expression of degree of being associated with and power consumption Amount is more related；Assuming that i-th of host element is X_i=(X_i(1), X_i(1), X_i(2)…X_i(n))^T, i=1,2,3 ... n；④

Construct optimal sample：

X₀=(X₀(1), X₀(1), X₀(2)…X₀(n))^T；⑤

(4) absolute difference matrix, maximum difference and minimal difference are asked：3. the first row of middle matrix is respectively arranged calculating formula with remaining The absolute difference of respective value, formed absolute difference matrix as formula 7. shown in：

In formula, Δ_0i(k)=| X₀(k)-X_i(k) |, (i=1,2 ... n, k=1,2 ... are n)；⑧

Maximum and minimum value, as maximum difference and minimal difference in absolute difference matrix：

(5) calculate correlation coefficient：Data in the absolute difference matrix of formula 7. are made with the conversion of following formula 10. such as and obtains association system Matrix number such as formulaIt is shown：

Wherein, ρ is explanation coefficient, and span is (0,1), incidence coefficient ξ_0i(k) 1 positive number, absolute difference are no more than It is worth Δ_0i(k) it is smaller, incidence coefficient ξ_0i(k) it is bigger, ξ_0i(k) i-th of comparative sequences X is reflected_iWith reference sequences X₀In the kth phase Correlation degree；

(6) calculating correlation：Use comparative sequences X_iWith reference sequence X₀The average value of incidence coefficient in each period determine Amount reflects the correlation degree of the two ordered series of numbers, and its calculation formula is：

In formula, r_0i(k) ordered series of numbers X is compared for k-th_iWith reference sequence X₀The degree of association.

Further, the power consumption index evaluation module includes volume of the flow of passengers energy consumption index assessment unit, Car Turnover figureofmerit Assessment unit, passenger person-kilometres index evaluation unit, station power consumption index evaluation unit；The volume of the flow of passengers energy consumption index is commented Estimate calculation that unit uses for：Year (moon) total power consumption/passenger flow total amount, unit for degree/person-time；The Car Turnover amount refers to The calculation that uses of mark assessment unit for：Year (moon) total power consumption/car movement, unit is degree/car km；It is described The calculation that passenger person-kilometres index evaluation unit is used for：Year (moon) total power consumption/passenger traffic turnover total amount, unit for degree/ People km；The calculation that the station power consumption index evaluation unit is used for：Year (moon) total power consumption/(× day of standing), Unit：Degree/day of standing.

Further, the power consumption index evaluation module is using the hereditary projection pursuit mould for setting up energy consumption index comprehensive assessment The method of type carries out power consumption index assessment；Specifically include following steps：

(1) each individual event energy consumption index is classified, is set up and projected by the method for random value in each rate range Index, the projection index includes each energy consumption single index and its corresponding grade；The individual event energy consumption index includes the volume of the flow of passengers Energy consumption index, Car Turnover figureofmerit, passenger person-kilometres index；

(2) projection index is projected in the one-dimensional space according to a certain projecting direction, obtains projection index in the one-dimensional space Projection value, using the coefficient correlation between the standard deviation of projection value, projection value and the corresponding evaluation grade of projection index as examining The variation information of projection index is examined, so as to set up projection target function；

(3) best projection direction is estimated using genetic algorithm for solving projection target function maxima；

(4) obtain projecting the scatter diagram between the best projection value and evaluation grade of index according to best projection direction, from And set up the genetic projection pursuit model of energy consumption index comprehensive assessment.

Further, the power consumption index prediction module is predicted using the method for setting up grey systems GM (1,1) model, The method for setting up grey systems GM (1,1) model is substantially to carry out one-accumulate generation to original data sequence, has been become Regular ordered series of numbers, then resettles GM (1,1) model, that is, sets up the differential equation, solve the differential equation, obtain the ginseng of equation Number a, u value, finally obtains gray prediction GM (1, the 1) models of cumulative ordered series of numbers to be predicted；Grey systems GM (1, the 1) mould Type examines its precision of prediction using after-test residue checking, comprises the following steps that：

(1) grey systems GM (1,1) model is set up：

If X⁽⁰⁾For original data sequence X⁽⁰⁾=[X⁽⁰⁾(1), X⁽⁰⁾(2), X⁽⁰⁾(3)…X⁽⁰⁾(n)]；

Data row are once superimposed, it is X to generate new data ordered series of numbers⁽¹⁾=[X⁽¹⁾(1), X⁽¹⁾(2), X⁽¹⁾(3)… X⁽¹⁾(n)]；

According to new data sequence numbering rule to new data sequence, setting up corresponding albinism differential equation is

A, b are equation parameter in formula, are denoted as

The y under criterion of least squares_n=BP solution is

Formula(B in the matrix identification calculating formula of as GM (1,1) parameter a, b, formula^TB)^-1B^TIn fact it is data matrix B Generalized inverse matrix, wherein

In formula, B is (n-1) rank data matrix, y_nFor data vector, P is parameter vector, makes z⁽¹⁾For X⁽¹⁾Equal value sequence Z⁽¹⁾=[Z⁽¹⁾(2), Z⁽¹⁾(3), Z⁽¹⁾(4)…z⁽¹⁾(n)]；

By formulaThe formula of obtainingAlbinism differential equation be

z⁽¹⁾(k)=0.5X⁽¹⁾(k)+0.5X⁽¹⁾(k-1)；

Grey systems GM (1,1) forecast model, which can be obtained, is

It is rightInverse accumulated generating reduction is carried out, is obtainedPredicted value, i.e. grey systems GM (1,1) forecast model For：

(2) precision of prediction of grey systems GM (1,1) model is tested using after-test residue checking：

1) precision of grey systems GM (1,1) model is differentiated according to the value of the poor ratio of posteriority and small error possibility：

Make X⁽⁰⁾For original series,For prediction value sequence k=2,3 ... n, initial data X⁽⁰⁾(k) average value

X⁽⁰⁾(k) variance

Residual error

Residual epsilon⁽⁰⁾(k) average value

ε⁽⁰⁾(k) variance

Posteriority difference ratio

Small error possibility

According to the poor ratio C of posteriority and the essence of small error possibility P the two index comprehensives evaluation grey systems GM (1,1) models Degree, specific accuracy class standard is as shown in table 1, if the precision of grey systems GM (1,1) model is then set up through disqualified upon inspection The Remanent Model of grey systems GM (1,1) model is modified；

The classification standard of table 1

2) Remanent Model of grey systems GM (1,1) model is set up：

According to the residual error Q of the prediction data of grey systems GM (1,1) model⁽⁰⁾(t) residual sequence, is defined

Check residual sequence Q⁽⁰⁾(t) whether non-negative, if residual sequence Q⁽⁰⁾(t) there is negative value, then positizing is carried out to it Processing, the method for use is plus an appropriate positive number by each numerical value in residual error ordered series of numbersBecome it Into the value of non-negative, then the residual error ordered series of numbers after positizing processing is Q⁽⁰⁾=[Q⁽⁰⁾(1), Q⁽⁰⁾(2), Q⁽⁰⁾(3)…Q⁽⁰⁾(n)]；

The Remanent Model that grey systems GM (1,1) model is obtained after reduction is：

Beneficial effects of the present invention are：

A kind of quality of power supply and energy-saving analysis system towards track traffic provided by the present invention, is utilizing computer On the basis of technology and database technology, related energy-conservation work management and the information system management of technical documentation are on the one hand realized；Separately On the one hand the inquiry to the related power consumption of detection unit, the function of statistics and analysis are realized；Total score is being carried out to energy consumption data On the basis of analysis, electricity consumption unit energy consumption is estimated, be comprehensive system plan, implement, check, control and improve every use Electric management activity, implements Whole Course Management there is provided a rational foundation of comparison, promotes the section of track traffic to a certain extent Carrying out in a deep going way for energy emission reduction work, by carrying out relatively rational prediction to power budget, electric department can be used to grasp system overall Electricity consumption situation, the foundation assigned as power consumption index.

Brief description of the drawings

Fig. 1 is a kind of quality of power supply and energy-saving analysis system structure diagram towards track traffic of the invention；

Fig. 2 is the energy consumption index comprehensive assessment flow chart based on hereditary projection Pursuit Method in the present invention；

Fig. 3 is volume of the flow of passengers energy consumption index classification schematic diagram in the present invention；

Fig. 4 is Car Turnover figureofmerit classification schematic diagram in the present invention；

Fig. 5 is passenger person-kilometres Index grading schematic diagram in the present invention；

Fig. 6 is the scatter diagram in the present invention.

Embodiment

In order to be better understood from the present invention, the invention will be further described with specific embodiment below in conjunction with the accompanying drawings：

As shown in figure 1, a kind of quality of power supply and energy-saving analysis system towards track traffic includes：

1st, file management system：For improving existing organization and administration system, so that the sustainable development worked for energy-saving and emission-reduction Provide safeguard；The file management system includes management assurance module, ad hoc planning module, code planning module；The management Assurance module is used for policies, pertinent regulation system and carries out advocacy and training；Manage assurance module include policy safeguard unit, Institutional guarantee unit, advocacy and training unit；The ad hoc planning module is used to formulate corresponding planning；Ad hoc planning module includes Network energy-saving planning implementation outline unit, operation maintenance Energy Saving planning unit, construction project Energy Saving planning unit；Institute Stating code planning module is used to formulate the program or step that must comply with when operation equipment or processing business；Code planning module bag Include network energy-saving planning implementation outline unit, operation maintenance Energy Saving planning unit, construction project Energy Saving planning unit.

2nd, power-saving technology system：Effective utilization for realizing electric energy by using new technological means, while reduction is dynamic Power electric consumption on lighting energy consumption；The power-saving technology system include energy consumption equipment systems technology module, utilization of regenerative energy technology modules, Energy-conserving control technology module；The energy consumption equipment systems technology module is used for using corresponding power-saving technology control track traffic system Energy consumption equipment in system, so as to reduce energy consumption；The utilization of regenerative energy technology modules are used to reduce using renewable sources of energy technology Energy consumption；The energy-conserving control technology module is used to reduce energy consumption using corresponding power-saving technology；

(1) the energy consumption equipment systems technology module is used for the energy consumption equipment being directed in Rail Transit System using corresponding Power-saving technology is controlled, so as to reduce energy consumption；The energy consumption equipment includes train system, illuminator, air-conditioning system, automatic Escalator system；It is controlled for different energy consumption equipments using corresponding power-saving technology, so as to reduce energy consumption.Actually working as In, section and trend, reasonable selection of transformer capacity, the idle benefit for removing low-voltage distribution load side of cable are selected by science Repay in dress, reduction change undermines line loss；By using the rail of larger sectional area, improve rail and the insulation water of track perimeter systems The gentle overhead ground wire to subway ground line carries out transformation to reduce the electric energy loss of related system；Improve metering hand Section, it is ensured that the reasonability and validity of measuring equipment configuration, so as to ensure the correctness of continuous data；For the section of environmental control system Can, can be with fixing platform screen doors, energy-saving effect is good；Using converter technique, air conditioning electricity consumption is reduced；Using VRV systems, energy is reduced Source is wasted；For the energy-conservation of low-voltage distribution system, the energy-conservation of low-voltage distribution system, which is mainly, uses efficient energy-saving lamp, rationally peace The operation of subway concourse platform illumination, the management of reinforcement equipment room illumination, and reasonable arrangement transformer is arranged, to improve its load factor.

(2) what the renewable sources of energy technology modules were used is achieved in that allowing train to use regenerates and resistive braking technology, It so as to reduce energy consumption, and can reduce wheel to power network feedback power to abrasion. reduction brake noises, improve the steady of braking Property, improve ride quality；And resistive braking is carried out by quickly opening brake chopper, it can quickly suppress braking power network excessively electric Pressure, there is good braking characteristic.

(3) implementation that the energy-conserving control technology module is used includes the Reasonable adjustment electric power system method of operation, closed Reason adjusts working voltage, using Power Saving Technology for Transformer, the economical operation of adjustment DC traction system, using intelligentized software System；1) the Reasonable adjustment electric power system method of operation refers to the external power source mode of connection that the urban transportation is introduced Condition possess cyclization change electric condition then trailer system rectification become have a power failure and distribution become using one fortune one it is standby by the way of run, track friendship The external power source mode of connection condition that logical electric power system is introduced do not possess cyclization change electric condition then evening stop whole rectifications become and The operation that system half distribution becomes；Feeding System of Urban Rail Transit typically introduces No. 2 external power sources simultaneously, using circuit transformation Device prescription formula or internal bridge connection fanout operation.Nearly 10 times of the load difference in power supply of urban orbit traffic load daytime and evening, It is just also very big with load difference at a specified future date in the recent period, if the external power source mode of connection condition introduced possesses cyclization and changes electric condition, In the case of light load or evening stop transport, trailer system rectification become have a power failure and distribution become using one transport one it is standby by the way of run, can be with Reduce the loss on transmission line loss of the nearly half of the whole network.An evening and early stage light(-duty) service mode are worked out as the case may be, with program control Mode is realized, easy to operate, also helps adjustment system power factor.If not possessing cyclization changes electric condition, can stop in the evening Only whole rectification changes and system half distribution become operation, it is possible to reduce the loss on transmission line loss of system 1/3.Electric power system puts into fortune for the first time Tidal current analysis is carried out during row, to determine voltage's distribiuting and power distribution, the tap position of transformer is determined and judges idle mend The size for the amount of repaying, and determine the normal method of operation and prevent reactive overcompensation phenomenon from occurring, it is easy to the economic fortune of electric power system OK.The method of operation is adjusted according to electric power system load variations situation, the load factor of system is improved.There is three-phase load unbalance When, electrical equipment is adjusted in time, advantageously reduces electric energy loss.

2) the Reasonable adjustment working voltage refers to take raising when network load loss and the ratio of open circuit loss are more than 1 The mode of working voltage, network load loss and the ratio of open circuit loss take the mode of reduction working voltage when being less than 1, improve Or percentage and copper, the iron loss ratio correlation of reduction；Feeding System of Urban Rail Transit main transformer station is become from on-load voltage regulation Depressor selects the transformer for having adjust automatically to tap camera function, and voltage tune is carried out according to system voltage change or setting value It is whole, electric power system electric energy loss can be reduced.When network load loss and the ratio C of open circuit loss are more than 1 data of table, improve Working voltage can play loss-reducing and electricity-saving effect；When network load loss and the ratio C of open circuit loss are less than 2 data of table, drop Low working voltage can play loss-reducing and electricity-saving effect.When working voltage is higher, fixed loss increase changes loss and reduced；Fortune When row voltage is relatively low, fixed loss is reduced, and changes loss increase.General 35~220kV is preferably under the voltage high compared with rated voltage Operation is more economical, 33kV and below 10kV preferably run under the relatively low voltage of rated voltage it is more economical, specific magnitude of voltage also need through Cross after calculating and determine.

Table 1 improves working voltage reduction loss and differentiates table

Improve voltage percentage	1	2	3	4	5
						Copper, iron loss ratio C	1.02	1.04	1.06	1.08	1.10

The reduction working voltage reduction loss of table 2 differentiates table

Improve voltage percentage	-1	-2	-3	-4	-5
						Copper, iron loss ratio C	0.98	0.96	0.94	0.92	0.90

3) the use Power Saving Technology for Transformer includes from energy saving transformer and makes transformer economic operation；Selection section Can type transformer or replacing transformer with high energy consumption, the loss of reduction power transmission and distribution, non-crystalline alloy iron core, high temperature that the country newly goes into operation Superconducting power transformer load loss can select and become equivalent to the 4.5% of same capacity S9 serial transformers national Specification value Hold transformer, solve the problems, such as the load difference in initial stage and at a specified future date, daytime and evening；Transformer economic operation, when open circuit loss and negative When load-loss is equal, transformer efficiency highest is run most economical.In operation, make transformer load as far as possible close to efficiently Rate point is run.The critical load rate of transformer " low load with strong power " is：S7 series is that 25%, S9 series is 16%, and amorphous state becomes Depressor is 7%.Transformer economic load area rate of load condensate is interval less than 75%, more than " low load with strong power " critical load rate. The phenomenon that " low load with strong power " should be avoided the occurrence of in design and operation occurs.In the case of investment and construction condition permission, In centralized power supply system, it is contemplated that just separated in the recent period with main transformer at a specified future date, rectifier transformer, distribution transformer number of units, And consider sharing mode.The input quantity of transformer at initial stage is reduced on the premise of power supply reliability is met, according to load condition Change the quantity for throwing regression depressor, reduce initial investment and reduction operation electric energy loss.

4) economical operation of the adjustment DC traction system refers to that DC power-supply system is drawn in Reasonable adjustment track traffic In traction substation, the operation of contact net, power supply mode；Track traffic traction DC power-supply system under normal circumstances, is drawn Electric substation, contact net are using double unit operation, two-side feeding modes.It is general to use 2 Rectification Power Factor parallel runnings, it is negative meeting On the premise of load rate harmonic, when a traction rectifier unit is out of service, using single fighter two-side feeding mode, it can subtract The added losses of few Traction networks.Rationally determine tractive transformer capacity make its load factor 92% and more than, Effec-tive Function；Suppression Harmonic wave processed reaches energy-conservation, for Rectification Power Factor using two parallel runnings, forms 24 pulse wave rectifiers, can limit the generation of harmonic wave； Reasonable selection train regenerating braking energy absorption plant can greatly save electric energy.Have capacitance energy storage, flywheel energy storage, resistance absorption and Inversion absorption plant.Wherein capacitance energy storage mode good energy-conserving effect, has stabilization to power network, while maintenance is few.

5) it is described to refer to add remote meter reading work(in electric power monitoring system (SCADA) using intelligentized software systems Can, collection power supply, electrical equipment electricity carry out statistic of classification.The energy management software system EMS used in power system, be Economic load dispatching software EDC, advanced applied software PAS, load management are added on the basis of data acquisition and monitoring control system The modules such as software LM, analysis, decision-making and control are scheduled according to the information and data of system acquisition, and main target is to improve electricity The automatic control level of Force system, improves power supply quality and improves the economy of operation.It can be borrowed in the urban transportation The part of module function for power system of reflecting, comprehensive analysis is carried out to electricity consumption power supply unit, and emphasis tracking is carried out to highly energy-consuming equipment. Furthermore it is also possible to use for reference the intelligence system and expert system function of power system.

3rd, decision support system：Mould is assessed including electric energy statistical query module, electric energy energy consumption analysis module, power consumption index Block, power consumption index prediction module.

(1) the electric energy statistical query module is that the electric energy of each live unit is made according to the real time information of electric energy metrical With statistics is carried out with Expenditure Levels, there is provided time-based graphics data query function and various analysis charts with comparative analysis And report capability；Electric energy statistical query module uses fuzzy query and accurate query statistic, while providing graphical display function；

(2) the electric energy energy consumption analysis module includes train traction energy consumption analysis unit and station energy consumption analysis unit；

1) oneself when train traction energy consumption includes running under power power consumption (including own demand) and inertia, braking and had a power failure Power consumption, the influence factor of train traction energy consumption includes line condition, type of train, form of train formation, train load factor；

1. influence of the type of train to train traction energy consumption：The type of train of Rail Transit System is played certainly to train operation Qualitatively act on.Type of train is different, is not only the difference of train size dimension and capacity, it is often more important that the deadweight of train, The technical indicators such as overall trip speed have larger difference, directly affect many aspects such as train marshalling list, conveying capacity, so as to have impact on The energy consumption in train journey of Rail Transit System；

2. influence of the train marshalling list to train traction energy consumption：The marshalling of train is main by the peak section volume of the flow of passengers and transport Organization decided.The marshalling quantity of train is bigger, and tractive force needed for meeting operation needs is bigger, and energy consumption increases therewith.At the beginning of can using, Closely, different classification types at a specified future date, its advantage is to select different marshallings to be conducive to energy-conservation for different freight volumes, is conducive to transport Tissue, attracts passenger flow；

3. influence of the train load factor to train traction energy consumption：Train is under full load conditions, and passenger mass is in the total matter of train 25~30% are typically constituted from amount：And when train load factor drops to the state of operator acceptable 50%, Cheng Kezhi Amount would fall to 17% or so in train gross mass.In other words, with the decline of load factor, traction energy consumption will be mainly used in nothing When effect is pulled in train load factor less than 30%, the invalid draw ratio of train is larger, in order to solve this problem, according to The mode of running interval is increased, then service level can be greatly reduced, this accounts for the passenger of total passenger flow 80% for flat peak period passenger flow, Especially passenger flow intensity is about for 50% passenger of the period of peak passenger flow intensity 1/3rd, and its service level is difficult to receive, Also for urban track traffic passenger flow will be attracted to be negatively affected.According to the high density operating scheme organized into groups at times, protecting On the premise of demonstrate,proving high service level, the scheme using the organization of driving's scheme flexibly organized into groups than fixed marshalling will effectively reduce train Operation energy consumption and system energy consumption.

2) station energy consumption includes lighting energy consumption, power consumption；The lighting energy consumption includes illuminating station energy consumption, interval illumination Energy consumption；The illuminating station energy consumption includes operating illumination energy consumption, electric saving illumination energy consumption, emergency lighting energy consumption, sign for safe evacuation illumination Energy consumption, advertising lighting energy consumption；The power consumption includes escalator system energy consumption, air conditioning energy consumption；Escalator is stated, is to carry Shuttling movement ladder road direction on or tilt down (30 °~35 °) conveying passenger fixation power driven equipments.Escalator is advised by it The big I of lattice is divided into light-duty, medium-sized and heavy (without clearly dividing).The escalator at City Rail Transit System station exists Rated load operation situation is very short, and most of time expends a large amount of electric energy, city rail all in being run in the case of unloaded and underloading Road transport daily the commuter rush hour on and off duty when ask very short, less than four hours, in the off-peak hours, escalator it is unloaded when ask It is far longer than the carrying time.Escalator operation speed is adjusted according to patronage, escalator is used as urban track traffic The service facility at station, full speed running is wanted in phase commuter rush hour, to ensure the rapid convenient of passenger's conveying.In few flat of the volume of the flow of passengers In the peak stage, the method for regulation escalator operation speed can be taken to save energy consumption, especially escalator when unloaded up, Consumption power is incrementally increased with the increase of staircase speed, and the power that escalator is consumed in 20% rated speed is volume Determine rotating speed consumes power 21%；During empty down, the method for regulation escalator operation speed is taken to save energy consumption, especially When escalator load is less than 20% during descending operation, the speed of service is reduced as far as possible, energy consumption is saved.In a word, according to passenger flow come Escalator operation is adjusted, with good energy-saving effect.The ventilation and air conditioning system, is the important system in subway engineering, When train normal operation, its major function be exclude Metro Space waste heat more than it is wet, it is ensured that subway interior air environment reaches To defined standard, it is that passenger and staff provide a suitable artificial environment, meets its physiology and psychological requirement； And when accident occurs for train, ventilation and air conditioning system, which also should ensure that, carries out effective ventilation to incident area.Ventilation and air conditioning system It is the first energy consumption rich and influential family in subway system.There is statistics to show, ventilation and air conditioning system energy consumption accounts for whole subway power load 45%~60%.The whether reasonable of ventilation and air conditioning system scheme has a strong impact on metro operation energy consumption, therefore, ventilation and air conditioning system system The selection of formula must consider energy consumption index emphatically, select rational energy-saving scheme.At present, domestic subway ventilation air-conditioning system standard It common are screen door and close and (open) formula system.Screen door is to set on platform to link with Train door AT STATION to open The shield door closed, platform is separated with track, the relatively independent operation of the ventilation and air conditioning system in station.Air-conditioning season, station leads to Wind air-conditioning system is that a small amount of fresh air or all-fresh air state are run；Non- air-conditioning season, station air-conditioning runs for Fully ventilation state, interval Tunnel ventilation is based on Piston Ventilation.Closed system refers to that the air within air-conditioning season, station and running tunnel removes air conditioner Introduce outside a small amount of fresh air, system is substantially at a kind of form being not communicated with the external world, and open type operation can be also made in non-air-conditioning season, Communicated using piston vent, station entrance-exit, two ends hole and force ventilation with outside atmosphere and be aerated ventilation, exclude rail The heat that road traffic is produced.In recent years, a kind of deepening continuously with research, improved enclosed ventilation and air conditioning system is set in subway It is applied in meter, is referred to as integrated enclosed ventilation and air conditioning system (hereinafter referred to as " integrated closed system ").The standard system It is mainly characterized by station public area ventilation and air conditioning system and interval ventilating system realizes sharing for equipment component and air channel, station is not Unitary air handling unit need to be set, but utilize the large-scale surface cooler set in air channel and station ventilation blower composition air-treatment system System, air conditioner is provided for station.Station ventilation blower, exhaust fan are simultaneously as interval emergency fan.

3) influence factor of electric energy energy consumption is including element of time, regional feature, station key element, circuit energy-conservation are broken, vehicle is wanted Element, equipment key element, season key element：

The element of time, including construction time, limber up period, initial stage, recent and long term；In track traffic work progress, lead to Often there is part circuit to be started operation after stage construction object is completed, this shows the mileage of transport in sevice to Rail traffic network total energy consumption Directly influence will be produced.

The regional feature, including urban district and suburb；Urban district mobility of people is big, and the handling capacity of passengers of urban district track traffic is obvious Higher than suburb, the number of handling capacity of passengers can produce influence for the energy consumption of the facilities such as elevator, air-conditioning.

The station key element, including elevated station, earth station and underground station；Different circuits, interior power consumption of standing has larger difference Away from especially in the season using air-conditioning, the energy consumption on underground and ground is apparently higher than overhead.

The circuit economical grade, it is low that adoption rate includes high, neutralization.

The vehicle key element, including A types car, Type B car, c-type car etc..

The equipment key element, tractive power supply system, heating ventilation and air-conditioning system, shield door, illumination, plumbing, escalator, Weak electricity system, vehicle base equipment；The train of different model uses different energy-saving facilities, and different types of station is (on the ground, Underground) different conservation measures is used according to the actual conditions of operation, the purpose of energy-conservation can be reached.

The season key element, including spring, summer, Qiu Hedong；With the arrival of summer, subway total energy consumption has obvious rising, Change of the seasonal factor on energy consumption has extremely obvious influence.

Electric energy energy consumption analysis carries out grey relational grade analysis, the association using gray relative analysis method to each key element Degree, be between things, relevance size measures between factor.It quantitatively describes what is mutually changed between things or factor Situation, that is, the relativity of the size changed, direction and speed etc..If things or the situation of factor change are basically identical, can To think that the degree of association between them is larger, conversely, the degree of association is smaller.To this incidence relation between things or factor, though So a certain degree of answer can also be made with statistical analysis techniques such as recurrence, correlations, but often require that data volume is larger, data Distribution characteristics also require that it is obvious.And for the phenomenon of multifactor atypia distribution characteristics, the difficulty of regression-correlation analysis Degree is usually very big.Comparatively, data needed for grey relational grade analysis are less, and the requirement to data is relatively low, and principle is simple, it is easy to Understand and grasp, above-mentioned deficiency has been overcome and made up.Specifically include following steps：

For each main factor, optimal sample data is selected as reference sequences, the bigger expression of degree of being associated with and power consumption Amount is more related.Assuming that i-th of host element is X_i=(X_i(1), X_i(1), X_i(2)…X_i(n))^T, i=1,2,3 ... n；④

Construct optimal sample：

X₀=(X₀(1), X₀(1), X₀(2)…X₀(n))^T；⑤

In formula, Δ_0i(k)=| X₀(k)-X_i(k) |, (i=1,2 ... n, k=1,2 ... are n)；⑧

(3) the power consumption index evaluation module includes volume of the flow of passengers energy consumption index assessment unit, the assessment of Car Turnover figureofmerit Unit, passenger person-kilometres index evaluation unit, station power consumption index evaluation unit；The volume of the flow of passengers energy consumption index is assessed single The calculation that uses of member for：Year (moon) total power consumption/passenger flow total amount, unit for degree/person-time；The index reflection region and season Influence factor is saved, region is different, volume of the flow of passengers change is obvious, and season is different, and the size of the volume of the flow of passengers will influence total power consumption indirectly.Institute State calculation that Car Turnover figureofmerit assessment unit uses for：Year (moon) total power consumption/car movement, unit is Degree/car km；The factor that index reflection time, class of vehicle and circuit economical grade are used, different operation phase energy consumption table Existing significantly different, helpful to saving energy consumption using the circuit of economical grade according to the study, the different then energy consumptions of vehicle are different, and the index is then The comparison of different automobile types energy consumption can be embodied.

The calculation that the passenger person-kilometres index evaluation unit is used for：Year (moon) total power consumption/passenger traffic turnover is total Amount, unit is degree/people km；The index considers to have also contemplated that operation mileage while human factor, concentrated expression season, car Type, economical grade, device class and the influence in region, embodiment power are stronger, and aggregation degree is higher.

The calculation that the station power consumption index evaluation unit is used for：Year (moon) total power consumption/(× day of standing), Unit：Degree/day of standing；The energy consumption of each equipment in the index reflection station.

Further, the power consumption index evaluation module is using the hereditary projection pursuit mould for setting up energy consumption index comprehensive assessment The method of type carries out power consumption index assessment；Energy consumption index comprehensive assessment flow chart such as Fig. 2 based on hereditary projection Pursuit Method It is shown, comprise the following steps：

1) each individual event energy consumption index is classified, setting up projection by the method for random value in each rate range refers to Mark, the projection index includes each energy consumption single index and its corresponding grade；The individual event energy consumption index includes volume of the flow of passengers energy Consume index, Car Turnover figureofmerit, passenger person-kilometres index；Specially volume of the flow of passengers energy consumption index maximum, volume of the flow of passengers energy consumption refer to Mark minimum value, volume of the flow of passengers energy consumption index average value, Car Turnover figureofmerit maximum, Car Turnover figureofmerit minimum value, vehicle Figureofmerit average value, passenger person-kilometres index maximum, passenger person-kilometres index minimum value, passenger person-kilometres index is had enough to meet the need to be averaged Value；

2) projection index is projected in the one-dimensional space according to a certain projecting direction, obtains projection index in the one-dimensional space Projection value, regard the coefficient correlation between the standard deviation of projection value, projection value evaluation grade corresponding with projection index as investigation The variation information of index is projected, so as to set up projection target function；

3) best projection direction is estimated using genetic algorithm for solving projection target function maxima；

4) obtain projecting the scatter diagram between the best projection value and evaluation grade of index according to best projection direction, so that Set up the genetic projection pursuit model of energy consumption index comprehensive assessment.

It is specific as follows：

Each individual event energy consumption index is classified：Each individual event energy consumption index index and its classification are such as Fig. 3, Fig. 4 and Fig. 5 institute Show, each individual event energy consumption index is equally divided into 9 grades, decline step by step from 1~9 grade of power energy-saving situation, relevant parameter is defined as follows：

If volume of the flow of passengers maximum is Kll_Max, volume of the flow of passengers minimum value is Kll_Min, and inlet wire electricity maximum is Jxdl_ Min, inlet wire electricity minimum value is Jxdl_Max, and operation mileage maximum is Yylc_Max, and operation mileage minimum value is Yylc_ Min；Volume of the flow of passengers energy consumption index maximum is Kll_Index_Max, and volume of the flow of passengers energy consumption index minimum value is Kll_Index_Min； Volume of the flow of passengers energy consumption index average value is Kll_Index_Avg, then

Volume of the flow of passengers energy consumption index maximum：

Volume of the flow of passengers energy consumption index minimum value：

Volume of the flow of passengers energy consumption index average value：Kll_Index_Avg=(Kll_Index_Max+Kll_Index_Min)/2；If it is Clzzl_Index_ that Car Turnover figureofmerit maximum, which is Clzzl_Index_Max, Car Turnover figureofmerit minimum value, Min, Car Turnover figureofmerit average value are Clzzl_Index_Min；Then

Car Turnover figureofmerit maximum：

Car Turnover figureofmerit minimum value：

Car Turnover figureofmerit average value：

Clzzl_Index_Avg=(Clzzl_Index_Min+Clzzl_Index_Max)/2；

If it is Kyzzl_ that passenger person-kilometres index maximum, which is Kyzzl_Index_Max, passenger person-kilometres index minimum value, Index_Min, passenger person-kilometres index average value are Kyzzl_Index_Avg, then

Passenger person-kilometres index maximum：

Passenger person-kilometres index minimum value：

Passenger person-kilometres index average value：

Kyzzl_Index_Avg=(Kyzzl_Index_Min+Kyzzl_Index_Max)/2；

Projection index is set up by the method for random value in each rate range, so as to form sample set.Project index Each individual event energy consumption index x* (i, j) including reflecting energy consumption, i=1,2 ... n, j=1,2 ... m, and its corresponding assessment Grade y (i), i=1,2 ... n, energy consumption are poorer, and corresponding evaluation grade is higher；In order that the excursion of index is unified, adopt Use formulaX* (i, j) is normalized for x (i, j), i.e.,

X (i, j)=x* (i, j)/X_max(j), i=1,2 ... n, j=1,2 ... m；

Wherein, X_max(j) it is the maximum of j-th of index；N is the number of sample；M is index number.

The foundation of projection target function：It is exactly to set up between x (i, j) and y (i) to set up energy consumption index Integrated Evaluation Model Mathematical relationship, projection Pursuit Method integrates into n dimension data x (i, j) with a=(a (1), a (2) ..., a (m)) as projecting direction One Dimensional Projection value z (i)：

In order to find the feature of data in projection, it is desirable to which, in comprehensive projection value, projection value z (i) should be as wide as possible Extract the variation information in x (i, j), i.e. the standard deviation S of z (i)_zShould be as big as possible, while requiring z (i) and y (i) phase relation Number R_zyAbsolute value | R_zy| it is as big as possible, therefore take the projection target function to be

F (a)=S_z|R_zy|；

The optimization of projection target function：Projection target function f (a) changes as projecting direction a changes, can be by solving Projection target function maxima estimates best projection direction a*, i.e.,

Maxf (a)=S_z|R_zy|；

This be one with a=(a (1), a (2) ..., a (m)) be optimized variable nonlinear optimal problem, use conventional method Processing is more difficult, and genetic algorithm is then a kind of more common global optimization method, and it is by simulating living nature " survival of the fittest " Rule and colony intrinsic stain body information exchange mechanism carry out global optimization, solution that can be simple and effective is above-mentioned to ask Topic.Its basic thought is to randomly select several initial projections directions as initial population, optimizes projection mesh with genetic algorithm Scalar functions, and fitness function corresponding with the size of projection target function is set up, what the big individual of fitness function was retained Chance is just big, by genetic manipulations such as selection, hybridization, variations, the maximum corresponding individual of last fitness numerical value with it is maximum The corresponding best projection direction a* of projection target function is corresponding.It may determine that each evaluation index to comprehensive using best projection direction Close the contribution for assessing target.

Set up the genetic projection pursuit model of energy consumption index comprehensive assessment：Best projection direction a* is pressed into formulaNormalize Obtain weight vectors w^*=(w^*(1), w^*(2) ..., w^*(m)), and by this weight formula is substituted intoI-th sample can be obtained Projection value z (i).The scatter diagram constituted according to z (i) and y (i), can set up the mathematical modeling of energy consumption index comprehensive assessment, so that Comprehensive assessment is carried out to energy consumption；I.e.

Wherein, x (i, j) is the sample generated at random, and it is pressed into formulaScatter diagram such as Fig. 6 is obtained after being normalized It is shown：

The end points projection value of each stratum of the scatter diagram of table 3

(4) the power consumption index prediction module is that objectively prediction is carried out rationally to power consumption index, predicts electric load In the variation tendency and state of future period, so as to provide certain reference value for assigning for power index；Power consumption index is pre- Module is surveyed to be predicted using the method for setting up grey systems GM (1,1) model.The method for setting up grey systems GM (1,1) model Essence be to original data sequence carry out one-accumulate generation, become regular ordered series of numbers, then resettle GM (1, 1) model, that is, set up the differential equation.The differential equation is solved, parameter a, the u value of equation is obtained.Finally obtain the ash of cumulative ordered series of numbers Color predicts GM (1,1) model, is predicted.

Concretely comprise the following steps：

If X⁽⁰⁾For original data sequence

X⁽⁰⁾=[X⁽⁰⁾(1), X⁽⁰⁾(2), X⁽⁰⁾(3)…X⁽⁰⁾(n)]；

Data row are once superimposed, generating new data ordered series of numbers is

X⁽¹⁾=[X⁽¹⁾(1), X⁽¹⁾(2), X⁽¹⁾(3)…X⁽¹⁾(n)]；

A, b are equation parameter in formula, are denoted as

The y under criterion of least squares_n=BP solution is

FormulaThe matrix identification calculating formula of as GM (1,1) parameter a, b.(B in formula^TB)^-1B^TIn fact it is data matrix B Generalized inverse matrix, wherein

In formula, B is (n-1) rank data matrix, y_nFor data vector, P is parameter vector, makes Z⁽¹⁾For X⁽¹⁾Equal value sequence Z⁽¹⁾=[Z⁽¹⁾(2), Z⁽¹⁾(3), Z⁽¹⁾(4)…Z⁽¹⁾(n)]：

By formulaThe albefaction form differential equation is

Z⁽¹⁾(k)=0.5X⁽¹⁾(k)+0.5X⁽¹⁾(k-1)；

GM (1,1) forecast model, which can be obtained, is

It is rightInverse accumulated generating reduction is carried out, is obtainedPredicted value, i.e. GM (1,1) forecast model is：

After forecast model is set up, generally the precision of simulation and forecast value is tested using known historical summary, with Whether decision model properly can use.The precision of prediction of GM (1,1) model has a variety of methods of inspection, and main has the inspection of residual error size Method, degree of association method of inspection, after-test residue checking, here using after-test residue checking：

Make X⁽⁰⁾For original series,For prediction value sequence k=2,3 ... n

Initial data X⁽⁰⁾(k) average value

X⁽⁰⁾(k) variance

Residual error

Residual epsilon⁽⁰⁾(k) average value

ε⁽⁰⁾(k) variance

Then claimFor the poor ratio of posteriority；

DefinitionFor small error possibility；One good prediction, it is desirable to which C is the smaller the better, typically It is required that C≤0.35, maximum is no more than 0.65.Another index of prediction quality is that small error possibility is big.So-called small error is Refer to absolute deviationIn other words, relative errorP >=0.65 typically is required, must not be small In 0.7.

According to P and C size, precision of prediction can be divided into 4 grades, each classification standard such as table 4, if through examining not It is qualified, GM (1,1) Remanent Model can be set up and be modified.Index C is the smaller the better, the smaller expression S of C₁It is bigger, S₂It is smaller.S₁More Greatly, show that historical data variance is big, historical data is more discrete.S₂It is smaller, show that residual variance is smaller, residual discrete degree Greatly.C is small, although showing that historical data is very discrete, and predicted value and the difference of actual value that model is obtained are not too much discrete.Index P It is the bigger the better, P is bigger, represents that the difference of residual error and residual error average value is less than set-point 0.6745S₁Point it is more.According to C and P two Individual index, can be with the precision of Comprehensive Assessment forecast model.

The classification standard of table 4

According to the residual error Q of the prediction data of GM (1,1) model⁽⁰⁾(t) residual sequence, is defined

If Q⁽⁰⁾(t) there is negative value in sequence, should carry out positizing processing to it first.Conventional method is exactly by residual error Each numerical value in data row adds an appropriate positive number,It is set to become non-negative.

Then the residual error ordered series of numbers after positizing processing is Q⁽⁰⁾=[Q⁽⁰⁾(1), Q⁽⁰⁾(2), Q⁽⁰⁾(3)…Q⁽⁰⁾(n)]；

Obtained after reduction

Preferably, a kind of quality of power supply and energy-saving analysis system towards track traffic include server hardware and The operating systems of Windows Server 2008, C# programming languages are used based on the Software Development Platforms of Visual Studio 2010 With database SQL2008, used system architecture is SQL2008+ADO.NET+ASP.NET；The operational mode used For browser/WEB server/database server three-tier architecture pattern.A kind of electricity towards track traffic that the present invention is provided Groundwork is just completed in server end when energy quality and energy-saving analysis system development, and server end is mainly responsible for exploitation, safeguarded Online content and resource, is responsible for the collection, storage, issue of information.Client directly using existing LAN or Internet connections, it is not necessary to special setting and installation, using the internet browser of standard, directly access WEB server, The remote operation of data storage in database can just be realized by WEB server program, so that in the absence of client-side program Exploitation and maintenance.

The present invention is not limited to above-described embodiment, the foregoing is only the preferable case study on implementation of the present invention , it is not intended to limit the invention, any modification for being made within the spirit and principles of the invention, equivalent substitution and changes Enter, should be included in the scope of the protection.

Claims

1. a kind of quality of power supply and energy-saving analysis system towards track traffic, it is characterised in that：Including：

(1) file management system：For improving existing organization and administration system, so as to be provided for the sustainable development that energy-saving and emission-reduction work Ensure；The file management system includes management assurance module, ad hoc planning module, code planning module；The management is ensured Module is used for policies, pertinent regulation system and carries out advocacy and training；The ad hoc planning module is used to formulate corresponding rule Draw；The code planning module is used to formulate the program or step that must comply with when operation equipment or processing business；

(2) power-saving technology system：Effective utilization for realizing electric energy by using new technological means, shines while reducing power It is bright to use electric energy consumption；The power-saving technology system includes energy consumption equipment systems technology module, utilization of regenerative energy technology modules, energy-conservation Control technology module；The energy consumption equipment systems technology module is used for using in corresponding power-saving technology control Rail Transit System Energy consumption equipment, so as to reduce energy consumption；The utilization of regenerative energy technology modules are used to reduce energy consumption using renewable sources of energy technology； The energy-conserving control technology module is used to reduce energy consumption using corresponding power-saving technology；

(3) decision support system：For providing support foundation by correlation analysis method for electric energy decision-making；The decision support body System includes electric energy statistical query module, electric energy energy consumption analysis module, power consumption index evaluation module, power consumption index prediction module；Institute Stating electric energy statistical query module is used to use and consume feelings to the electric energy of each live unit according to the real time information of electric energy metrical Condition carries out statistics, and there is provided time-based graphics data query function and various analysis charts and form with comparative analysis；Institute The energy consumption that electric energy energy consumption analysis module is used to analyze Rail Transit System is stated, to provide the foundation of Rail Transit System power consumption； The power consumption index evaluation module is used to choose power consumption index and quantify, to assess the electricity consumption situation of track traffic；It is described to use Electric index prediction module is that objectively prediction is carried out rationally to power consumption index, and the change for predicting electric load in future period becomes Gesture and state, so as to provide certain reference value for assigning for power index.

2. a kind of quality of power supply and energy-saving analysis system towards track traffic according to claim 1, it is characterised in that： It is flat based on the software developments of Visual Studio 2010 including server hardware and the operating systems of Windows Server 2008 Platform uses C# programming languages and database SQL2008, and used system architecture is SQL2008+ADO.NET+ASP.NET；Institute The operational mode used is browser/WEB server/database server three-tier architecture pattern.

3. a kind of quality of power supply and energy-saving analysis system towards track traffic according to claim 1, it is characterised in that： The management assurance module includes policy safeguard unit, institutional guarantee unit, advocacy and training unit；The ad hoc planning module bag Include network energy-saving planning implementation outline unit, operation maintenance Energy Saving planning unit, construction project Energy Saving planning unit； The code planning module includes network energy-saving planning implementation outline unit, operation maintenance Energy Saving planning unit, builds item Mesh Energy Saving planning unit.

4. a kind of quality of power supply and energy-saving analysis system towards track traffic according to claim 1, it is characterised in that： The implementation that the energy-conserving control technology module is used includes the Reasonable adjustment electric power system method of operation, Reasonable adjustment operation electricity Press, using Power Saving Technology for Transformer, the economical operation of adjustment DC traction system, using intelligentized software systems；

The Reasonable adjustment electric power system method of operation is included when the external power source that DC power-supply system is introduced is drawn in track traffic The mode of connection is that possess the rectification change of track traffic traction DC power-supply system and distribution when electric condition is changed in cyclization to become using a fortune One standby mode is run, when the external power source mode of connection that DC power-supply system introducing is drawn in track traffic is that do not possess cyclization to change The distribution for then stopping whole rectification changes and half quantity during electric condition becomes operation；

The Reasonable adjustment working voltage includes：Raising is taken to transport when network load loss and the ratio of open circuit loss are more than 1 The mode of row voltage, the mode of reduction working voltage is taken when the ratio of network load loss and open circuit loss is less than 1, is improved Or the percentage and copper, iron loss ratio of reduction working voltage are related；

The economical operation of the adjustment DC traction system refers to leading in Reasonable adjustment track traffic traction DC power-supply system Draw electric substation, the operation of contact net, power supply mode, rationally determine tractive transformer capacity make its load factor 92% and with On；The Rectification Power Factor of track traffic traction DC power-supply system is using two parallel runnings；Reasonable selection train regenerative braking energy Measure absorption plant；It is described to refer to add remote meter reading work(in electric power monitoring system (SCADA) using intelligentized software systems Can, collection power supply, electrical equipment electricity carry out statistic of classification.

5. a kind of quality of power supply and energy-saving analysis system towards track traffic according to claim 1, it is characterised in that： The electric energy energy consumption analysis module includes train traction energy consumption analysis unit and station energy consumption analysis unit；Train traction energy consumption Influence factor includes line condition, type of train, form of train formation, train load factor；Station energy consumption includes lighting energy consumption, moved Power energy consumption；The lighting energy consumption includes illuminating station energy consumption, interval lighting energy consumption；The illuminating station energy consumption includes operating illumination Energy consumption, electric saving illumination energy consumption, emergency lighting energy consumption, sign for safe evacuation lighting energy consumption, advertising lighting energy consumption；The power consumption includes Escalator system energy consumption, air conditioning energy consumption.

6. a kind of quality of power supply and energy-saving analysis system towards track traffic according to claim 5, it is characterised in that： The influence factor of electric energy energy consumption includes element of time, regional feature, station key element, circuit section in the electric energy energy consumption analysis module Can broken, vehicle key element, equipment key element, season key element；Electric energy energy consumption analysis is carried out using gray relative analysis method to each key element Grey relational grade analysis, is comprised the following steps that：

(1) original data processing：Using initial data is subtracted initial data average value then again divided by initial data mark The method of quasi- difference carries out nondimensionalization processing to initial data；

(2) calculate correlation coefficient：Analytical sequence is determined first, if dependent variable data constitute reference sequences X '₀Each argument data structure Into comparative sequences X '_i(i=1,2,3 ... n), n data sequence formation matrix as formula 1. shown in：

In formula, X '_iRepresent host element, matrix 1. in the 1st row represent analysis sample data, row represent host element, matrix is in itself Represent a main factor；

X_ijFor the nondimensionalization result of host element i j-th of index；X′_ijFor host element i j-th of initial data indexIt is right Should be in the average value of initial data index, st (X '_ij) be corresponding to initial data index standard deviation；

For each main factor, optimal sample data is selected as reference sequences, and the bigger expression of degree of being associated with and power consumption are more It is related；Assuming that i-th of host element is X_i=(X_i(1), X_i(1), X_i(2)…X_i(n))^T, i=1,2,3 ... n； ④

Construct optimal sample：

X₀=(X₀(1), X₀(1), X₀(2)…X₀(n))^T； ⑤

(4) absolute difference matrix, maximum difference and minimal difference are asked：3. the first row of middle matrix is corresponding with remaining each row for calculating formula The absolute difference of value, formed absolute difference matrix as formula 7. shown in：

In formula, Δ_0i(k)=| X₀(k)-X_i(k) |, (i=1,2 ... n, k=1,2 ... are n)； ⑧

(5) calculate correlation coefficient：Data in the absolute difference matrix of formula 7. are made as the conversion of following formula 10. obtains incidence coefficient square Battle array is such as formulaIt is shown：

Wherein, ρ is explanation coefficient, and span is (0,1), incidence coefficient ξ_0i(k) 1 positive number, absolute difference Δ are no more than_0i (k) it is smaller, incidence coefficient ξ_0i(k) it is bigger, ξ_0i(k) i-th of comparative sequences X is reflected_iWith reference sequences X₀In the association of kth phase Degree；

(6) calculating correlation：Use comparative sequences X_iWith reference sequence X₀Each period incidence coefficient average value it is anti-to quantify The correlation degree of the two ordered series of numbers is reflected, its calculation formula is：

7. a kind of quality of power supply and energy-saving analysis system towards track traffic according to claim 1, it is characterised in that： The power consumption index evaluation module includes volume of the flow of passengers energy consumption index assessment unit, Car Turnover figureofmerit assessment unit, passenger traffic week Turn figureofmerit assessment unit, station power consumption index evaluation unit；The meter that the volume of the flow of passengers energy consumption index assessment unit is used Calculation mode is：Year (moon) total power consumption/passenger flow total amount, unit for degree/person-time；The Car Turnover figureofmerit assessment unit is used Calculation be：Year (moon) total power consumption/car movement, unit is degree/car km；The passenger person-kilometres index The calculation that assessment unit is used for：Year (moon) total power consumption/passenger traffic turnover total amount, unit is degree/people km；The station The calculation that power consumption index evaluation unit is used for：Year (moon) total power consumption/(× day of standing), unit：Degree/day of standing.

8. a kind of quality of power supply and energy-saving analysis system towards track traffic according to claim 7, it is characterised in that： The power consumption index evaluation module is carried out using the method for the genetic projection pursuit model for setting up energy consumption index comprehensive assessment Power consumption index is assessed；Specifically include following steps：

(1) each individual event energy consumption index is classified, projection index is set up by the method for random value in each rate range, The projection index includes each energy consumption single index and its corresponding grade；The individual event energy consumption index refers to including volume of the flow of passengers energy consumption Mark, Car Turnover figureofmerit, passenger person-kilometres index；

(2) projection index is projected in the one-dimensional space according to a certain projecting direction, obtains projecting throwing of the index in the one-dimensional space Shadow value, the coefficient correlation between the standard deviation of projection value, projection value evaluation grade corresponding with projection index is thrown as investigation The variation information of shadow index, so as to set up projection target function；

(4) obtain projecting the scatter diagram between the best projection value and evaluation grade of index according to best projection direction, so as to build The genetic projection pursuit model of vertical energy consumption index comprehensive assessment.

9. a kind of quality of power supply and energy-saving analysis system towards track traffic according to claim 1, it is characterised in that： The power consumption index prediction module is predicted using the method for setting up grey systems GM (1,1) model, sets up grey systems GM The method of (1,1) model is substantially to carry out one-accumulate generation to original data sequence, becomes regular ordered series of numbers, so After resettle GM (1,1) model, that is, set up the differential equation, solve the differential equation, obtain parameter a, the u value of equation, finally It is predicted to gray prediction GM (1, the 1) models of cumulative ordered series of numbers；Grey systems GM (1, the 1) model is using posteriority difference inspection The method of testing examines its precision of prediction, comprises the following steps that：

(1) grey systems GM (1,1) model is set up：

Data row are once superimposed, it is X to generate new data ordered series of numbers⁽¹⁾=[X⁽¹⁾(1), X⁽¹⁾(2), X⁽¹⁾(3)…X⁽¹⁾ (n)]；

A, b are equation parameter in formula, are denoted as

The y under criterion of least squares_n=BP solution is

Formula(B in the matrix identification calculating formula of as GM (1,1) parameter a, b, formula^TB)^-1B^TIn fact it is data matrix B broad sense Inverse matrix, wherein

In formula, B is (n-1) rank data matrix, y_nFor data vector, P is parameter vector, makes Z⁽¹⁾For X⁽¹⁾Equal value sequence

Z⁽¹⁾=[Z⁽¹⁾(2), Z⁽¹⁾(3), Z⁽¹⁾(4)…Z⁽¹⁾(n)]；

By formulaThe formula of obtainingAlbinism differential equation be

Z⁽¹⁾(k)=0.5X⁽¹⁾(k)+0.5X⁽¹⁾(k-1)；

Grey systems GM (1,1) forecast model, which can be obtained, is

It is rightInverse accumulated generating reduction is carried out, is obtainedPredicted value, i.e. the forecast model of grey systems GM (1,1) is：

X⁽⁰⁾(k) variance

Residual error

Residual epsilon⁽⁰⁾(k) average value

ε⁽⁰⁾(k) variance

Posteriority difference ratio

Small error possibility

According to the poor ratio C of posteriority and the precision of small error possibility P the two index comprehensives evaluation grey systems GM (1,1) models, As shown in table 1, if the precision of grey systems GM (1,1) model is through disqualified upon inspection, then foundation is grey for specific accuracy class standard The Remanent Model of colour system system GM (1,1) model is modified；

The classification standard of table 1

2) Remanent Model of grey systems GM (1,1) model is set up：

Check residual sequence Q⁽⁰⁾(t) whether non-negative, if residual sequence Q⁽⁰⁾(t) there is negative value, then positizing processing carried out to it, The method of use is plus an appropriate positive number by each numerical value in residual error ordered series of numbersIt is set to become non-negative Value, then positizing processing after residual error ordered series of numbers be Q⁽⁰⁾=[Q⁽⁰⁾(1), Q⁽⁰⁾(2), Q⁽⁰⁾(3)…Q⁽⁰⁾(n)]；