CN107958340A - A kind of power plant cost Quantitative Managingsystems - Google Patents
A kind of power plant cost Quantitative Managingsystems Download PDFInfo
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- CN107958340A CN107958340A CN201711320190.5A CN201711320190A CN107958340A CN 107958340 A CN107958340 A CN 107958340A CN 201711320190 A CN201711320190 A CN 201711320190A CN 107958340 A CN107958340 A CN 107958340A
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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
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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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- 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 embodiment of the invention discloses a kind of power plant cost Quantitative Managingsystems.The theoretially optimum value of the economic indicator to be evaluated under current operating states of the units can be obtained by being compared in the present invention by data unit operation with the preset data in expert knowledge library,Acquisition relative standard deviation values are compared with theoretially optimum value for the actual value of economic indicator to be evaluated,During due to carrying out economic analysis to the cost of unit,Main Analysis be exactly each generating set every economic indicator to be evaluated,And the index to be evaluated of any generating set is when individually changing,Its relative standard deviation values is equal to the relative standard deviation values of the overall index to be evaluated of all generating sets,Therefore quantitative evaluation can be carried out to the economy of the generating set by the relative standard deviation values for the index to be evaluated for obtaining each generating set,Quantitative management is realized to the cost of each generating set by deviation method,Solves the technical problem for the cost management for strengthening power grid.
Description
Technical field
The present invention relates to electrical management field, more particularly to a kind of power plant cost Quantitative Managingsystems.
Background technology
With the propulsion of China's coal electricity marketization, international and domestic coal price is surging, and many coal-fired power plants are faced with huge
Cost pressure；Meanwhile with the pay attention to day by day of Environmental problem, the requirement to environmental protection further improves, Environmental Inputs
Cost step up；In addition the human cost of power plant is improved also with economic development, and network load persistently drops.
Therefore, the factor of comprehensive each side, power plant are faced with huge cost pressure, how to strengthen the cost management of power grid
Have become the technical problem of those skilled in the art's urgent need to resolve.
The content of the invention
The present invention provides a kind of power plant cost Quantitative Managingsystems, the technology for solving the cost management for strengthening power grid is asked
Topic.
The present invention provides a kind of power plant cost Quantitative Managingsystems, including：
Data acquisition unit, for obtaining the real-time working condition number of each generating set from the level of factory real-time monitoring system of power plant
According to, and by real-time working condition data sending to cost comparing unit；
Unit data cell, for obtaining the data unit operation of power plant from the management information system of power plant, and by unit
Operation data are compared with the preset data of expert knowledge library, obtain the corresponding economic indicator to be evaluated of data unit operation
Theoretially optimum value；
Cost comparing unit, for calculating the to be evaluated of each generating set according to the real-time working condition data of each generating set
The actual value of valency economic indicator, according to the actual value of the economic indicator to be evaluated of each generating set and economic indicator to be evaluated
Theoretially optimum value is compared the relative standard deviation values for the economic indicator to be evaluated for obtaining each generating set, and by each generator
The relative standard deviation values of the economic indicator to be evaluated of group are sent to data interaction unit；
Data interaction unit, will be each for the carry out data interaction with unit data cell and level of factory real-time monitoring system
The relative standard deviation values of the economic indicator to be evaluated of a generating set are forwarded to unit data cell and level of factory real-time monitoring system.
Preferably, data acquisition unit, specifically for the level of factory real-time monitoring system by twisted-pair feeder or optical fiber and power plant
Data interaction is carried out, obtains the real-time working condition data of each generating set from level of factory real-time monitoring system, and by real-time working condition number
According to being sent to cost comparing unit.
Preferably, data interaction unit, specifically for carrying out data interaction with unit data cell by optical fiber and passing through
Positive isolating device and the carry out data interaction of level of factory real-time monitoring system, by the economic indicator to be evaluated of each generating set
Relative standard deviation values are forwarded to unit data cell and level of factory real-time monitoring system.
Preferably, economic indicator to be evaluated specifically includes：Unit boiler efficiency and/or steam turbine efficiency and/or unit heat consumption
Rate and/or cycle efficieny and/or rate of standard coal consumption.
Preferably, data unit operation is specially the input quantity of various units in each production system in power plant.
Preferably, the calculation formula of the relative standard deviation values of economic indicator to be evaluated is：
Wherein, δ D are the relative standard deviation values of economic indicator to be evaluated, and D' is the actual value of economic indicator to be evaluated, and D is to treat
Evaluate the theoretially optimum value of economic indicator.
Preferably, data interaction unit is non real-time VPN.
As can be seen from the above technical solutions, the present invention has the following advantages：
The present invention provides a kind of power plant cost Quantitative Managingsystems, including：Data acquisition unit, for the factory from power plant
Level real-time monitoring system obtains the real-time working condition data of each generating set, and real-time working condition data sending to cost is compared list
Member；Unit data cell, for obtaining the data unit operation of power plant from the management information system of power plant, and by unit operation number
It is compared according to the preset data with expert knowledge library, obtains the theory of the corresponding economic indicator to be evaluated of data unit operation most
The figure of merit；Cost comparing unit, for calculating the to be evaluated of each generating set according to the real-time working condition data of each generating set
The actual value of economic indicator, according to the actual value of the economic indicator to be evaluated of each generating set and the reason of economic indicator to be evaluated
It is compared the relative standard deviation values for the economic indicator to be evaluated for obtaining each generating set by optimal value, and by each generating set
The relative standard deviation values of economic indicator to be evaluated be sent to data interaction unit；Data interaction unit, for unit data sheet
The carry out data interaction of member and level of factory real-time monitoring system, by the relative standard deviation values of the economic indicator to be evaluated of each generating set
It is forwarded to unit data cell and level of factory real-time monitoring system.
It is compared to obtain with the preset data in expert knowledge library by data unit operation in the present invention and is working as
The theoretially optimum value of economic indicator to be evaluated under preceding operating states of the units, the actual value of economic indicator to be evaluated and theory is optimal
Acquisition relative standard deviation values are compared in value, and during due to carrying out economic analysis to the cost of unit, Main Analysis is exactly each
Every economic indicator to be evaluated of generating set, and when the index to be evaluated of any generating set individually changes, its is opposite
Deviation is equal to the relative standard deviation values of the overall index to be evaluated of all generating sets, therefore can be by obtaining each power generation
The relative standard deviation values of the index to be evaluated of unit carry out quantitative evaluation to the economy of the generating set, by deviation method to each
The cost of generating set realizes quantitative management, solves the technical problem for the cost management for strengthening power grid.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is attached drawing needed in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also
To obtain other attached drawings according to these attached drawings.
Fig. 1 is a kind of structure diagram of power plant cost Quantitative Managingsystems provided in an embodiment of the present invention.
Embodiment
An embodiment of the present invention provides a kind of power plant cost Quantitative Managingsystems, solve the cost management of reinforcement power grid
Technical problem.
Goal of the invention, feature, advantage to enable the present invention is more obvious and understandable, below in conjunction with the present invention
Attached drawing in embodiment, is clearly and completely described the technical solution in the embodiment of the present invention, it is clear that disclosed below
Embodiment be only part of the embodiment of the present invention, and not all embodiment.Based on the embodiments of the present invention, this area
All other embodiment that those of ordinary skill is obtained without making creative work, belongs to protection of the present invention
Scope.
Referring to Fig. 1, an embodiment of the present invention provides a kind of one embodiment of power plant cost Quantitative Managingsystems, bag
Include：
Data acquisition unit 101, for obtaining the real-time of each generating set from the level of factory real-time monitoring system 105 of power plant
Floor data, and by real-time working condition data sending to cost comparing unit 103；
Unit data cell 102, for obtaining the data unit operation of power plant from the management information system 106 of power plant, and
Data unit operation is compared with the preset data of expert knowledge library, obtains the corresponding economy to be evaluated of data unit operation
The theoretially optimum value of index；
Cost comparing unit 103, for calculating each generating set according to the real-time working condition data of each generating set
The actual value of economic indicator to be evaluated, refers to according to the actual value of the economic indicator to be evaluated of each generating set and economy to be evaluated
Target theoretially optimum value is compared the relative standard deviation values for the economic indicator to be evaluated for obtaining each generating set, and by each hair
The relative standard deviation values of the economic indicator to be evaluated of motor group are sent to data interaction unit 104；
Data interaction unit 104, for the carry out data with unit data cell 102 and level of factory real-time monitoring system 105
The relative standard deviation values of the economic indicator to be evaluated of each generating set are forwarded to unit data cell 102 and level of factory are real by interaction
When monitoring system 105.
It should be noted that compared in the present embodiment by data unit operation and the preset data in expert knowledge library
Theoretially optimum value to the economic indicator to be evaluated under current operating states of the units can be obtained, by the reality of economic indicator to be evaluated
Acquisition relative standard deviation values are compared with theoretially optimum value for actual value, during due to carrying out economic analysis to the cost of unit, mainly
What is analyzed is exactly every economic indicator to be evaluated of each generating set, and the index to be evaluated of any generating set individually occurs
During change, its relative standard deviation values is equal to the relative standard deviation values of the overall index to be evaluated of all generating sets, therefore can lead to
The relative standard deviation values for crossing the index to be evaluated for obtaining each generating set carry out quantitative evaluation to the economy of the generating set, lead to
Cross deviation method and quantitative management is realized to the cost of each generating set, solve the technical problem for the cost management for strengthening power grid.
It is a kind of one embodiment of power plant cost Quantitative Managingsystems provided in an embodiment of the present invention above, is below this
A kind of another embodiment for power plant cost Quantitative Managingsystems that inventive embodiments provide.
Referring to Fig. 1, an embodiment of the present invention provides a kind of another embodiment of power plant cost Quantitative Managingsystems, bag
Include：
Data acquisition unit 101, for obtaining the real-time of each generating set from the level of factory real-time monitoring system 105 of power plant
Floor data, and by real-time working condition data sending to cost comparing unit 103；
Unit data cell 102, for obtaining the data unit operation of power plant from the management information system 106 of power plant, and
Data unit operation is compared with the preset data of expert knowledge library, obtains the corresponding economy to be evaluated of data unit operation
The theoretially optimum value of index；
Cost comparing unit 103, for calculating each generating set according to the real-time working condition data of each generating set
The actual value of economic indicator to be evaluated, refers to according to the actual value of the economic indicator to be evaluated of each generating set and economy to be evaluated
Target theoretially optimum value is compared the relative standard deviation values for the economic indicator to be evaluated for obtaining each generating set, and by each hair
The relative standard deviation values of the economic indicator to be evaluated of motor group are sent to data interaction unit 104；
Data interaction unit 104, for the carry out data with unit data cell 102 and level of factory real-time monitoring system 105
The relative standard deviation values of the economic indicator to be evaluated of each generating set are forwarded to unit data cell 102 and level of factory are real by interaction
When monitoring system 105.
It should be noted that level of factory real-time monitoring system 105 is collection process monitors in real time, optimal control and production process pipe
The level of factory automatic information system being integrated is managed, is in thermal power plant's Distributed Control System and related auxiliary stored program controlled and pipe
A set of real-time plant level supervisory information system between information system 106 is managed, level of factory real-time monitoring system 105 can provide each hair
The real-time working condition data of motor group, such as：Temperature, pressure, flow etc.；
The management information system 106 of power plant be to the administrative staff of power plant provide it is a large amount of in real time and it is non real-time, accurate,
Completely, reliable information and it is processed, the information after operational analysis, to improve the correct of the efficiency of power plant management and decision-making
Property, it can provide multiple business data, such as：Plant personnel manages data, information management data, marketing system, unit operation
Data etc.；
By in current data unit operation input expert knowledge library, can be incited somebody to action by the matching algorithm in expert knowledge library
Data unit operation is matched with preset data, obtains the theoretical optimal of the corresponding economic indicator to be evaluated of data unit operation
Value, such as：When two generators of three generators of power-plant operation and operation, the theoretially optimum value of rate of standard coal consumption exists poor
It is different, when the operation generator quantity Matching in data unit operation is two by expert knowledge library, then obtain two generators
When corresponding rate of standard coal consumption theoretially optimum value；
In addition, unit data cell 102 can also by expert knowledge library to various businesses data according to importance
Difference recorded with different weights, when need carry out Operating condition adjustment when, can be selected according to the weight of various businesses data
Select optimal regulation scheme；
The relative standard deviation values of economic indicator to be evaluated refer to the actual value of economic indicator to be evaluated and economic indicator to be evaluated
Theoretially optimum value difference and economic indicator to be evaluated theoretially optimum value ratio, i.e., the actual work of economic indicator to be evaluated
Condition deviates the degree of optimum operating condition；
The relative standard deviation values staff of the economic indicator to be evaluated of each generating set is calculated according to each unit
The relative standard deviation values of each economic indicator to be evaluated determine to need the economic indicator adjusted, and are selected according to specific judgment criteria
Suitable regulative mode, such as selects optimal regulation scheme according to the weight of various businesses data；
Calculate the relative standard deviation values of the economic indicator to be evaluated of each generating set needs to send it to unit afterwards
Data cell 102 and level of factory real-time monitoring system 105 are shown and store；
The cost of power plant can not individually be compared optimization since it is desired that consider many factors, thus to power plant into
This assessment is evaluated often through the economy of each index of each unit, then by deviation method to its amount in the present embodiment
Change assessment, staff can embody the economy of each economic indicator to be evaluated of each generating set by relative standard deviation values
Property, and then the economic indicator corresponding fortune larger by carrying out the relative standard deviation values of corresponding operation according to relative standard deviation values
Row operating mode, so as to carry out effective management and control to power plant cost, solves reinforcement power grid close to the corresponding optimum operating condition of theoretially optimum value
Cost management technical problem.
Further, data acquisition unit 101, specifically for being monitored in real time by the level of factory of twisted-pair feeder or optical fiber and power plant
System 105 carries out data interaction, and the real-time working condition data of each generating set are obtained from level of factory real-time monitoring system 105, and will
Real-time working condition data sending is to cost comparing unit 103.
It should be noted that data acquisition unit 101 and the level of factory real-time monitoring system 105 of power plant carry out data interaction
When, twisted-pair feeder or optical fiber can be used to carry out data interaction, twisted-pair feeder and optical fiber are only the applicating example in the present embodiment, work
Other data transfer modes can be selected to carry out data interaction in journey actual application according to the actual requirements.
Further, data interaction unit 104, specifically for carrying out data friendship by optical fiber and unit data cell 102
Mutually and by positive isolating device and the carry out data interaction of level of factory real-time monitoring system 105, by the to be evaluated of each generating set
The relative standard deviation values of valency economic indicator are forwarded to unit data cell 102 and level of factory real-time monitoring system 105.
It should be noted that positive isolating device is a kind of Physical-separation Technology to ensure information safety, synthesis is employed
Filtering technique, in link layer intercepted data bag, then determines how to handle the data packet according to the security strategy of user, realizes
MAC is bound with IP address, prevents IP address spoofing；
Data interaction unit 104 can improve information exchange by positive isolating device and level of factory real-time monitoring system 105
During information security.
Further, economic indicator to be evaluated specifically includes：Unit boiler efficiency and/or steam turbine efficiency and/or unit heat
Consumption rate and/or cycle efficieny and/or rate of standard coal consumption.
It should be noted that can be evaluated in real process according to the one or more kinds of economic indicators of selection, it is used for
The economic indicator of evaluation includes but not limited to：Unit boiler efficiency, steam turbine efficiency, unit heat consumption rate, cycle efficieny and standard coal
Consumption rate.
Further, data unit operation is specially the input quantity of various units in each production system in power plant.
It should be noted that there are multiple production systems in power plant, such as：Fuel system, combustion system, boiler circuit, electricity
Gas system and control system；
Each production system all includes a variety of production equipments, according to the input quantity of various units in each production system
Difference corresponds to different operating states of the units, and there are the theoretially optimum value of different economic indicators to be evaluated.
Further, the calculation formula of the relative standard deviation values of economic indicator to be evaluated is：
Wherein, δ D are the relative standard deviation values of economic indicator to be evaluated, and D' is the actual value of economic indicator to be evaluated, and D is to treat
Evaluate the theoretially optimum value of economic indicator.
It should be noted that power plant cost evaluation can be calculated based on deviation rule according to the deviation of each key index
Go out final totle drilling cost deviation.
The degree of perfection of heat power equipment and the height of economy of power plant, usually use cycle efficieny η, unit heat consumption rate q and electricity
Factory rate of standard coal consumption bsCharacterized Deng heat-economy figure, since equipment or operation are when reason causes economy to change, this can be used
The absolute deviation values or relative standard deviation values of a little indexs represent, by taking cycle efficieny η as an example：
The absolute deviation values of cycle efficieny are：
Δηi=η 'i-ηi (1)
Wherein, Δ ηiFor the absolute deviation values of cycle efficieny, ηi' be cycle efficieny actual value, ηiFor the reason of cycle efficieny
By optimal value；
The relative standard deviation values of cycle efficieny are：
Or：
Wherein, δ ηiWith δ ηi' all can be as the relative standard deviation values of cycle efficieny；
When economic analysis is carried out, generally require to calculate the relative variation of each index or absolute change amount,
In fact, there is following relation between each economic indicator：
| δ q'|=| δ bs' |=| δ ηi| (4)
When economy change is small, δ ηi≈δηi', then have：
| δ q'|=| δ bs' |=| δ ηi|≈|δηi'| (5)
From formula (5), to same research object, when representing that economy becomes with the relative standard deviation values of above-mentioned each economic indicator
During change, the absolute value of their relative standard deviation values is identical, i.e., percentage change is identical；
When carrying out Analysis of Energy Loss, it is often necessary to which analyzing a certain device efficiency change causes the change of whole device efficiency, such as
Fruit directly can obtain the change of gross efficiency according to the change of component efficiency, it will greatly simplify the analysis of heat-economy and calculated
Journey；
Full factory's gross efficiency η of thermal power plantcpIt is represented by the product of n component efficiency：
ηcp=η1η2…ηi…ηn (6)
Analyze δ ηcpWith δ ηiRelation, work as efficiency etaiChange turns to ηi' when, ηcpChange is turned into ηcp′：
ηcp'=η1η2…ηi′…ηn (7)
Then ηcpAnd ηiAbsolute deviation values be：
There is ηcpAnd ηiRelative standard deviation values be：
Formula (8) and (9) are substituted into formula (7) to obtain：
ηcp'=ηcp(1+δηi) (10)
Have again：
ηcp'=ηcp+Δηcp=ηcp(1+δηcp) (11)
Simultaneous formula (10) and (11) obtain：
δηi=δ ηcp (12)
Formula (12) shows, efficiency etaiRelative standard deviation values δ ηiWith ηiThe relative standard deviation values δ η of full factory efficiency caused by changecp
It is equal；
It can be seen from the above that when any component efficiency individually changes, its relative standard deviation values is equal to the relative standard deviation values of gross efficiency,
When carrying out local economic analysis, it will calculate analysis and greatly simplify；
The quality of current unit operation level, can actually be worth to certain reflection by calculate economic indicator, and
Lower attainable theoretially optimum value of current operating condition, i.e. the optimization operating mode of unit, current working and optimization operating mode can be provided
Degree of closeness reacted the quality of performance driving economy, operations staff can be grasped for the purpose of reducing the deviation between them
Adjust to optimize operation.
Further, data interaction unit 104 is non real-time VPN.
It should be noted that data interaction unit 104 is non real-time VPN, the data interaction of cross-system can be realized, and
Data sharing between different security partitionings.
It is compared and can obtains with the preset data in expert knowledge library by data unit operation in the present embodiment
The theoretially optimum value of economic indicator to be evaluated under current operating states of the units, by the actual value of economic indicator to be evaluated with theory most
Acquisition relative standard deviation values are compared in the figure of merit, and during due to carrying out economic analysis to the cost of unit, Main Analysis is exactly each
Every economic indicator to be evaluated of a generating set, and when the index to be evaluated of any generating set individually changes, its phase
It is equal to the relative standard deviation values of the overall index to be evaluated of all generating sets to deviation, therefore can be by obtaining each hair
The relative standard deviation values of the index to be evaluated of motor group carry out quantitative evaluation to the economy of the generating set, by deviation method to each
The cost of a generating set realizes quantitative management, there is provided it is a kind of accurate, efficiently, can more accurate quantification assess power plant into
This, the system for improving the efficiency of management, solves the technical problem for the cost management for strengthening power grid.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description
With the specific work process of unit, the corresponding process in previous embodiment is may be referred to, details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system and unit, can pass through it
Its mode is realized.For example, system embodiment described above is only schematical, for example, the division of the unit, only
Only a kind of division of logic function, can there is other dividing mode when actually realizing, such as multiple units or component can be tied
Another system is closed or is desirably integrated into, or some features can be ignored, or do not perform.It is another, it is shown or discussed
Mutual coupling, direct-coupling or communication connection can be the INDIRECT COUPLING or logical by some interfaces, device or unit
Letter connection, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separate, be shown as unit
The component shown may or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
In network unit.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units integrate in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part to contribute in other words to the prior art or all or part of the technical solution can be in the form of software products
Embody, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment the method for the present invention
Portion or part steps.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to before
Embodiment is stated the present invention is described in detail, it will be understood by those of ordinary skill in the art that：It still can be to preceding
State the technical solution described in each embodiment to modify, or equivalent substitution is carried out to which part technical characteristic；And these
Modification is replaced, and the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical solution.
Claims (7)
- A kind of 1. power plant cost Quantitative Managingsystems, it is characterised in that including：Data acquisition unit, for obtaining the real-time working condition data of each generating set from the level of factory real-time monitoring system of power plant, And by real-time working condition data sending to cost comparing unit；Unit data cell, for obtaining the data unit operation of power plant from the management information system of power plant, and by unit operation Data are compared with the preset data of expert knowledge library, obtain the theory of the corresponding economic indicator to be evaluated of data unit operation Optimal value；Cost comparing unit, for calculating the warp to be evaluated of each generating set according to the real-time working condition data of each generating set The actual value for index of helping, according to the actual value of the economic indicator to be evaluated of each generating set and the theory of economic indicator to be evaluated Optimal value is compared the relative standard deviation values for the economic indicator to be evaluated for obtaining each generating set, and by each generating set The relative standard deviation values of economic indicator to be evaluated are sent to data interaction unit；Data interaction unit, for the carry out data interaction with unit data cell and level of factory real-time monitoring system, by each hair The relative standard deviation values of the economic indicator to be evaluated of motor group are forwarded to unit data cell and level of factory real-time monitoring system.
- 2. a kind of power plant cost Quantitative Managingsystems according to claim 1, it is characterised in that data acquisition unit, tool Body is used to carry out data interaction by twisted-pair feeder or optical fiber and the level of factory real-time monitoring system of power plant, from level of factory real-time monitoring system Obtain the real-time working condition data of each generating set, and by real-time working condition data sending to cost comparing unit.
- 3. a kind of power plant cost Quantitative Managingsystems according to claim 1, it is characterised in that data interaction unit, tool Body is used to carry out data interaction with unit data cell by optical fiber and passes through positive isolating device and level of factory real-time monitoring system Carry out data interaction, by the relative standard deviation values of the economic indicator to be evaluated of each generating set be forwarded to unit data cell and Level of factory real-time monitoring system.
- A kind of 4. power plant cost Quantitative Managingsystems according to claim 1, it is characterised in that economic indicator tool to be evaluated Body includes：Unit boiler efficiency and/or steam turbine efficiency and/or unit heat consumption rate and/or cycle efficieny and/or rate of standard coal consumption.
- 5. a kind of power plant cost Quantitative Managingsystems according to claim 1, it is characterised in that data unit operation is specific For the input quantity of various units in each production system in power plant.
- 6. a kind of power plant cost Quantitative Managingsystems according to claim 1, it is characterised in that economic indicator to be evaluated The calculation formula of relative standard deviation values is：<mrow> <mi>&delta;</mi> <mi>D</mi> <mo>=</mo> <mfrac> <mrow> <msup> <mi>D</mi> <mo>&prime;</mo> </msup> <mo>-</mo> <mi>D</mi> </mrow> <mi>D</mi> </mfrac> </mrow>Wherein, δ D are the relative standard deviation values of economic indicator to be evaluated, and D' is the actual value of economic indicator to be evaluated, and D is to be evaluated The theoretially optimum value of economic indicator.
- 7. a kind of power plant cost Quantitative Managingsystems according to claim 1, it is characterised in that data interaction unit is non- Real-time VPN.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101152647B1 (en) * | 2012-01-20 | 2012-06-04 | 유한회사 주왕산업 | Power generation monitoring apparatus and method thereof |
| CN104035331A (en) * | 2014-01-10 | 2014-09-10 | 上海白丁电子科技有限公司 | Machine group operation optimization guidance system and equipment thereof |
| CN104616124A (en) * | 2015-03-06 | 2015-05-13 | 重庆大学 | Real-time issuing method and system of safe and economic operation state of thermal power plant |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101152647B1 (en) * | 2012-01-20 | 2012-06-04 | 유한회사 주왕산업 | Power generation monitoring apparatus and method thereof |
| CN104035331A (en) * | 2014-01-10 | 2014-09-10 | 上海白丁电子科技有限公司 | Machine group operation optimization guidance system and equipment thereof |
| CN104616124A (en) * | 2015-03-06 | 2015-05-13 | 重庆大学 | Real-time issuing method and system of safe and economic operation state of thermal power plant |
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