CN108711001A - Power plant for energy conservation diagnostic method and system based on load weight - Google Patents

Power plant for energy conservation diagnostic method and system based on load weight Download PDF

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CN108711001A
CN108711001A CN201810432651.6A CN201810432651A CN108711001A CN 108711001 A CN108711001 A CN 108711001A CN 201810432651 A CN201810432651 A CN 201810432651A CN 108711001 A CN108711001 A CN 108711001A
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load
power plant
energy consumption
energy saving
equipment
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CN108711001B (en
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刘义达
胡训栋
祁金胜
高绪栋
苗井泉
王毅
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Shandong Electric Power Engineering Consulting Institute Corp Ltd
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Shandong Electric Power Engineering Consulting Institute Corp Ltd
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Abstract

The invention discloses power plant for energy conservation diagnostic methods and system based on load weight, including:When the energy saving requirement of diagnostic device meets the necessity being transformed, continue to judge that this waits for that diagnostic device needs to be transformed type, when part of appliance reducing energy consumption, by the work difference comparison of operation data under different load and the device level parameter of setting, store that the index is corresponding energy-efficient key point and several modification schemes it is necessary to the reducing energy consumption taken in the first relational database;When the intergenerational upgrading reducing energy consumption of equipment, the energy-efficient key point of the corresponding intergenerational upgrading reducing energy consumption of the index and several modification schemes it is necessary to the reducing energy consumption taken are stored in the second relational database with the work difference comparison of the system-level parameters of the outstanding unit of scale with the whole nation by operation data under different load;The present invention considers the influence of flexibility operation and rate of load condensate to reducing energy consumption demand, and the reducing energy consumption made judges more genuine and believable.

Description

Power plant for energy conservation diagnostic method and system based on load weight
Technical field
The present invention relates to power plant for energy conservation diagnostic techniques fields, more particularly to the power plant for energy conservation diagnosis side based on load weight Method and system.
Background technology
Currently, the long-range operation data acquisition of power plant is not technically difficult, such as patent " thermal power unit operation energy consumption Actual measurement system " provides effective analysis method by calculating measured result, to reduce units consumption, and evaluation criterion is Single coal consumption variation.And in thermal power plant's actual motion, it is simple to consider that the variation of coal consumption provide which kind of takes energy saving change Make the suggested design of measure.
Patent " energy management of thermal power generation unit overall process and Cost Analysis System ", it is every to evaluate thermal power generation unit Interacting between the energy consumption quantization of a link (equipment), different link, actual energy consumption situation, each link of different units The bottom line that (equipment) energy consumption variation brings coal consumption for power generation, net coal consumption rate, cost of electricity-generating etc.;And it is sent out by client Cloth gives each user, user that can be formed comprehensively with the energy distribution and cost for being visually known full factory's unit operation.And Reducing energy consumption measure decision preliminary stage can't filter out the reducing energy consumption measure of reasonable economy according only to energy distribution, more After cannot predicting that a certain item reducing energy consumption measure is implemented, the influence for other each systems.
Patent " a kind of power station state inline diagnosis and operation optimizing system based on data harmonization " has real using power plant When Database Systems, build and complete a whole set of power station state inline diagnosis and operation optimizing system based on data harmonization.So And real diagnosis of energy saving cannot be based on a certain operating status, that is to say, that do not needed in 100% load operation energy saving excellent The equipment of change may just need to carry out reducing energy consumption in 30% load operation.Currently, China's thermal power generation unit generally utilizes Hourage is relatively low, and underrun improves the requirement that unit flexibility is run, that is to say, that if unit diagnosis of energy saving is still It is just obviously biased just for a certain operating condition data.And the above patent does not all assess the feasibility of measure.
Invention content
In order to solve the deficiencies in the prior art, the present invention provides the power plant for energy conservation diagnostic methods based on load weight, originally Invention considers the influence of flexibility operation and rate of load condensate to reducing energy consumption demand, and the reducing energy consumption judgement made more really may be used Letter.
Power plant for energy conservation diagnostic method based on load weight, including:
Step (1):The energy saving requirement that diagnostic device is waited in comprehensive descision power plant, when waiting for that the energy saving requirement of diagnostic device meets When the necessity being transformed, enter step (2);
Step (2):Continue to judge that this waits for that diagnostic device needs the type being transformed, when for part of appliance reducing energy consumption (3) are entered step, when upgrading reducing energy consumption intergenerational for equipment, are entered step (4);
Step (3):When part of appliance reducing energy consumption, diagnostic device is waited for for this, by operation data under different load with The work difference comparison of the device level parameter of setting, when the difference of certain index is more than the first threshold of setting, then this waits for diagnostic device The index it is undesirable, stored in the first relational database the index it is corresponding have energy-efficient key point and it is necessary to Several modification schemes for the reducing energy consumption taken;
Searched in the first relational database each modification scheme to the requirement of discriminant index and this whether wait for diagnostic device Meet, when meeting, using the program, otherwise abandons the program;
Step (4):When the intergenerational upgrading reducing energy consumption of equipment, diagnostic device is waited for for this, by running number under different load According to the work difference comparison with the whole nation with the system-level parameters of the outstanding unit of scale, when difference is more than the second threshold of setting, this is waited for The parameter index of diagnostic device is undesirable, and it is energy saving that the corresponding intergenerational upgrading of the index is stored in the second relational database The energy-efficient key point of transformation and several modification schemes it is necessary to the reducing energy consumption taken;
Searched in the second relational database each modification scheme to the requirement of discriminant index and this whether wait for diagnostic device Meet, when meeting, using the program, otherwise abandons the program.
Further preferred technical solution waits for that the mode of the energy saving requirement of diagnostic device is in comprehensive descision power plant:
If the ratio that 1 year 100% load operation hourage of certain generating set accounts for annual hours of operation is A, 75% load The ratio that hours of operation accounts for annual hours of operation is B, and 50% load operation hourage accounts for the ratio of annual hours of operation For C, the ratio that 30% load operation hourage accounts for annual hours of operation is D, and whole year is accounted for less than 30% load operation hourage The ratio of hours of operation is E;
Energy saving requirement of certain equipment in 100% load operation of generating set is X1, in 75% load operation of generating set When energy saving requirement be X2, energy saving requirement in 50% load operation of generating set is X3, is transported in 30% load of generating set Energy saving requirement when row is X4, and the energy saving requirement when generating set is less than 30% load operation is X5, then overall merit this set Standby energy saving requirement is:
X=A × X1+B × X2+C × X3+D × X4+E × X5.
Energy saving requirement under different load is compared by the work difference of power plant's runtime value and desired value to be obtained, the desired value packet Include design value, the whole nation can be as the numerical value of energy conservation object with runtime value of the outstanding unit of scale etc..When by each load operation Between after weighted calculation obtains the energy saving requirement for the overall merit equipment, search the initial cost of the equipment in first database, When energy saving requirement reaches the certain proportion of first cost, it is believed that it is necessary to carry out reducing energy consumption.It is deposited in first database Contain the first cost of all devices.
Further preferred technical solution, when the air leak rate of air preheater index of certain unit equipment does not meet setting value When, air preheater needs are improved, and it is corresponding that improvement air preheater air leakage rate index is stored in the first relational database Modification scheme, the modification scheme include:Adjustable seal reconstruction, VN seal reconstructions, flexible contact seal reconstruction, the flexibility It is automatic to exclude flexible contact sealing when the discriminant index of contact seal reconstruction includes that the requirement of the installation space unit cannot be satisfied Modification scheme, optional scheme are adjustable seal reconstruction, VN seal reconstructions.
Further preferred technical solution, when system-level subcritical pure condensate unit coal consumption of power supply A1 faces with National Outstanding Asia When boundary is undesirable compared with scale air cooling unit coal consumption of power supply A2, it is overcritical same to analyze National Outstanding in supercritical unit Scale air cooling unit coal consumption of power supply A3, A3<A2<A1, it is optional to change overcritical intergenerational upgrading using subcritical;
Restrictive condition is searched in the second relational database, coal is used when subcritical pure condensate unit furnace load is more than Large capacity coal dust combustion boiler hearth volume heat load allowable upper limit value when, abandon changing overcritical intergenerational liter using subcritical Grade modification scheme
A kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device equipment Processor load and execute the above-mentioned power plant for energy conservation diagnostic method based on load weight.
Power plant for energy conservation diagnostic system based on load weight, including background server, the background server include processing Device and computer readable storage medium, processor is for realizing each instruction;Computer readable storage medium is for storing a plurality of finger It enables, instructs for executing the above-mentioned power plant for energy conservation diagnostic method based on load weight.
Compared with prior art, the beneficial effects of the invention are as follows:
The present invention considers the influence of flexibility operation and rate of load condensate to reducing energy consumption demand so that system was made automatically Reducing energy consumption judges more genuine and believable.
The present invention is simultaneous by the relational database of reducing energy consumption measure and its restrictive condition (containing discriminant index and its threshold value) The assessment to feasibility is transformed is cared for, the availability that the reducing energy consumption made judges is stronger.
The present invention has distinguished device level and system-level data, for the operation data of device level, is carried out with design data Comparison;For system-level data, is compared with the newest outstanding unit in the whole nation, the system features of outstanding unit can be drawn, no The Reconstruc-tion policy of original system is stopped at, therefore can propose more efficient reducing energy consumption strategy.
Specific implementation mode
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific implementation mode, and be not intended to restricted root According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singulative It is also intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet Include " when, indicate existing characteristics, step, operation, device, component and/or combination thereof.
The present invention is right by being matched to the load weight in a time length moderate cycle of operation (such as 1 year) The energy saving requirement of equipment is weighted assessment, and assessment result is the necessity of reducing energy consumption;Further by relational database, look into The restrictive condition of transformation is found out, and is searched automatically in input condition, goes out preliminary feasible modification measures according to feasibility screening.
Operation data is divided into equipment level data and system level data.System level data refers to evaluating in art production process certainly At the data of the technological process quality of system.
The computational methods of device energy conservation demand:Data comparison under different load, in such a way that weighting compares, such as certain The ratio that 1 year 100% load operation hourage of generating set accounts for annual hours of operation is A, and 75% load operation hourage accounts for The ratio of annual hours of operation is B, and the ratio that 50% load operation hourage accounts for annual hours of operation is C, 30% load The ratio that hours of operation accounts for annual hours of operation is D, and annual hours of operation is accounted for less than 30% load operation hourage Ratio is E.Energy saving requirement of certain equipment in 100% load operation of generating set is X1, in 75% load operation of generating set When energy saving requirement be X2, energy saving requirement in 50% load operation of generating set is X3, is transported in 30% load of generating set Energy saving requirement when row is X4, and the energy saving requirement when generating set is less than 30% load operation is X5.Then overall merit this set Standby energy saving requirement is:
X=A × X1+B × X2+C × X3+D × X4+E × X5.
Energy saving requirement under different load is compared by the work difference of power plant's runtime value and desired value to be obtained, the desired value packet Include design value, the whole nation can be as the numerical value of energy conservation object with runtime value of the outstanding unit of scale etc..
For the numerical value (such as amount of electricity saving) to expense can be quantified, it is calculated and is used for by each load operation time weight After the energy saving requirement of the overall merit equipment, the initial cost of the equipment in first database is searched, when energy saving requirement reaches just throwing When the certain proportion of rate, it is believed that it is necessary to carry out reducing energy consumption.The first throwing of all devices is stored in first database Rate are used.
For cannot directly quantify the numerical value (such as leakage rate of equipment) to expense, calculated by each load operation time weight After obtaining the energy saving requirement for the overall merit equipment, the benchmark slip of the equipment in first database is searched, when energy saving When demand reaches the certain proportion of benchmark slip, it is believed that it is necessary to carry out reducing energy consumption.It is stored in first database There is the benchmark slip of equipment.
The first step, device energy conservation modification necessity assessment, passes through the equipment of operation data under different load and design data The comparative analysis of grade parameter, and the relational database between " short slab " index and reducing energy consumption measure is searched, automatic discrimination goes out section Can key point and it is necessary to the measures for the reducing energy consumption taken.
Feasibility assessment is transformed in second step, device energy conservation, recommends based on necessity assessment energy saving it is necessary to what is taken The measure of transformation, by searching for the relation data between reducing energy consumption measure and its restrictive condition (containing discriminant index and its threshold value) Whether library, finds out the discriminant index of user one by one, and judge the discriminant index of user in the threshold range that can implement transformation It is interior.User can will be given in the reducing energy consumption measure of the device level in the threshold range that can implement transformation by consequently recommended.
Third walks, and intergenerational upgrading reducing energy consumption necessity assessment passes through operation data under different load and the same scale in the whole nation The comparison of the system-level parameters of outstanding unit finds out the energy-efficient key point of intergenerational upgrading reducing energy consumption and it is necessary to take Reducing energy consumption measure.
4th step, intergenerational upgrading reducing energy consumption feasibility assessment are recommended based on the assessment of intergenerational upgrading reducing energy consumption necessity Go out it is necessary to the measure for the intergenerational upgrading taken, by searching for intergenerational upgrading measure and its restrictive condition (containing sentencing Other index and its threshold value) between relational database, find out the discriminant index of user one by one, and judge the discriminant index of user Whether in the threshold range that can implement transformation.It can be in the system-level intergenerational liter in the threshold range that can implement transformation Grade reducing energy consumption measure will give user by consequently recommended.
Embodiment 1:Device level --- the numerical value (such as amount of electricity saving) to expense can be quantified:
The original liquid coupling of certain electrically driven feed pump transform frequency converter scheme as, and it is 389kW that power of motor is saved under 100% load, It is 574kW that power of motor is saved under 80% load, and it is 676kW that power of motor is saved under 70% load, and electricity is saved under 60% load Acc power is 715kW, and it is 1111kW that power of motor is saved under 50% load.100% load operation of previous year accounts for annual operation The 5% of hourage, 80% load operation account for the 20% of annual hours of operation, and 70% load operation accounts for annual hours of operation 20%, 60% load operation accounts for the 15% of annual hours of operation, and 50% load operation accounts for the 40% of annual hours of operation, then With 1 year for an evaluation cycle, the saving power of motor of the overall merit equipment is:
X=A × X1+B × X2+C × X3+D × X4+E × X5=5% × 389+20% × 574+20% × 676+15% × 715+40% × 1111=821.1kW
Annual hours of operation is considered further that as input condition, such as 5000h is run, then annual amount of electricity saving be 821.1 × 5000=410.55 ten thousand kWh.Annual saving is calculated with electricity price by the assessment of diagnosis of energy saving default described herein Expense, such as the assessment electricity price that the engineering system is set is 0.3 yuan/kWh, then the annual expense saved is 123.165 ten thousand Member calculates and further carries out making quotient's comparison with 4,350,000 yuan of the initial cost of electrically driven feed pump in third database and show that ratio is 28.3%, it is more than the proportion threshold value 15% that diagnosis of energy saving system described herein sets electrically driven feed pump this equipment, then Diagnosis of energy saving system described herein automatically considers necessity of reducing energy consumption.
Embodiment 2:Device level --- it cannot directly quantify the numerical value (such as leakage rate of equipment) to expense:
For certain unit under 300MW load conditions, the sides A air leak rate of air preheater measured value is the air preheat of the sides 6.73%, B Device air leak rate of air curtain measured value is 6.24%, and under 150MW load conditions, the sides A air leak rate of air preheater measured value is 9.08%, B Side air leak rate of air preheater measured value is 8.78%.Air preheater air leakage rate design value is that 300MW loads are no more than 5%, 150MW Load is no more than 6%.100% load operation of previous year accounts for the 50% of annual hours of operation, and 50% load operation accounts for whole year The 50% of hours of operation, then with 1 year for an evaluation cycle, the energy saving requirement of the sides overall merit A air preheater is: (6.73% × 50%+9.08 × 50%=7.905% is more than 5% × 50%+6% × 50%=5.5%), first step comparison Judgement is obtained it is necessary to carry out air preheater seal reconstruction to reduce air leak rate of air curtain, recommends adjustable seal reconstruction, VN sealings automatically Transformation, flexible contact (spring-piece type) seal reconstruction.Second step searches restrictive condition, finds flexible contact (spring-piece type) seal reconstruction Discriminant index include installation space >=110mm (i.e. threshold value), and the installation space of the unit only 58mm is unsatisfactory for restrictive condition Requirement, therefore exclude the scheme of flexible contact (spring-piece type) seal reconstruction automatically, consequently recommended to user is adjustable close Envelope transformation, VN seal reconstructions.
Embodiment 3:It is system-level:
Certain power plant uses the overcritical pure condensate units of 700MW, after going into operation 8 years, unit heat consumption 7680.97kJ/kWh, and it is national Outstanding overcritical same scale unit coal consumption of power supply is 7460kJ/kWh.Third step comparison parameters discovery, high, medium and low voltage Cylinder efficiency is relatively low, is the principal element for causing unit heat consumption rate higher;Three, five, six sections of extraction temperatures are higher compared with design value respectively About 15.2 DEG C, 34.1 DEG C, 23.26 DEG C, in reflecting, low pressure (LP) cylinder deforms there may be inner casing and causes to leak vapour, is to lead to unit The higher secondary cause of heat consumption rate.The conclusion of third step comparison is to recommend to use steam turbine Tong Liao area, recommends adjusting automatically Grade modification scheme and aeration valve modification scheme.4th step searches restrictive condition, for governing stage Tong Liao area scheme, vapour after transformation Turbine coal consumption for power generation reduces by 7.4 respectively under 100%THA, 75%THA, 50%THA operating mode, 7.76,17.83g/kWh, be based on The more load condition weightings of unit consider to calculate pay off period 4.59;For filling valve Tong Liao area scheme, after transformation Steam turbine power generation coal consumption reduces by 8.36 respectively under 100%THA, 75%THA, 50%THA operating mode, 8.43,17.87g/kWh, base Consider to calculate pay off period 4.75 in the more load condition weightings of unit;It is diagnosed through power plant for energy conservation described herein and is The automatic comparison of system obtains pay off period of the pay off period than filling valve Tong Liao area scheme of governing stage modification scheme It is shorter, therefore consequently recommended to user is governing stage modification scheme.
Embodiment 4:It is system-level:
Certain power plant uses the subcritical pure condensate units of 300MW, after going into operation 10 years, coal consumption of power supply 345g/kWh, and it is national Outstanding subcritical same scale air cooling unit coal consumption of power supply is 325g/kWh, and with technological progress, the unit built in recent years is more For supercritical unit, the overcritical same scale air cooling unit coal consumption of power supply of National Outstanding is 305g/kWh.Third step comparison is recommended Changing overcritical intergenerational upgrading using subcritical, the 4th step searches restrictive condition, when discovery uses bituminous coal (containing poor, lean coal), Large capacity coal dust combustion boiler hearth volume heat load (BMCR) upper limit value is 90~105kW/m3, when fouling index > 3 takes stove The smaller value of thorax volume heat load, and the furnace load of former boiler is up to 95 subcritical change overcritical intergenerational upgrading and change Furnace volume heat release rate after making is up to 106, and the fouling index of the coal used is 3.77, therefore the 4th step negates third automatically Intergenerational upgrading, is not finally recommended user by the recommendation opinion of step.
Another embodiment of the present invention, a kind of computer readable storage medium, wherein it is stored with a plurality of instruction, the finger It enables and is suitable for being loaded by the processor of terminal device and executes the above-mentioned power plant for energy conservation diagnostic method based on load weight.
One more embodiment of the present invention, the invention also discloses the power plant for energy conservation diagnostic system based on load weight, packets Background server is included, the background server includes processor and computer readable storage medium, and processor is for realizing each finger It enables;Computer readable storage medium is instructed for storing a plurality of instruction for executing the above-mentioned power plant for energy conservation based on load weight Diagnostic method.
In the present embodiment described above, computer program product may include computer readable storage medium, containing with In the computer-readable program instructions for executing various aspects of the disclosure.Computer readable storage medium can be can keep and Store the tangible device of the instruction used by instruction execution equipment.Computer readable storage medium for example can be-- but it is unlimited In-- storage device electric, magnetic storage apparatus, light storage device, electromagnetism storage device, semiconductor memory apparatus or above-mentioned Any appropriate combination.The more specific example (non exhaustive list) of computer readable storage medium includes:Portable computing Machine disk, hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or Flash memory), static RAM (SRAM), Portable compressed disk read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, the punch card for being for example stored thereon with instruction or groove internal projection structure, with And above-mentioned any appropriate combination.Computer readable storage medium used herein above is not interpreted instantaneous signal itself, The electromagnetic wave of such as radio wave or other Free propagations, the electromagnetic wave propagated by waveguide or other transmission mediums (for example, Pass through the light pulse of fiber optic cables) or pass through electric wire transmit electric signal.
Computer-readable program instructions described herein can be downloaded to from computer readable storage medium it is each calculate/ Processing equipment, or outer computer or outer is downloaded to by network, such as internet, LAN, wide area network and/or wireless network Portion's storage device.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, fire wall, interchanger, gateway Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment In calculation machine readable storage medium storing program for executing.
Computer program instructions for executing present disclosure operation can be assembly instruction, instruction set architecture (ISA) Instruction, machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programmings Language arbitrarily combines the source code or object code write, the programming language include the programming language-of object-oriented such as C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer-readable program refers to Order can be executed fully, partly be executed on the user computer, as an independent software package on the user computer Execute, part on the user computer part on the remote computer execute or completely on a remote computer or server It executes.In situations involving remote computers, remote computer can include LAN by the network-of any kind (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize internet Service provider is connected by internet).In some embodiments, believe by using the state of computer-readable program instructions Breath comes personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or programmable logic Array (PLA), the electronic circuit can execute computer-readable program instructions, to realize the various aspects of present disclosure.
It should be noted that although being referred to several modules or submodule of equipment in the detailed description above, it is this Division is merely exemplary rather than enforceable.In fact, in accordance with an embodiment of the present disclosure, two or more above-described moulds The feature and function of block can embody in a module.Conversely, the feature and function of an above-described module can be with It is further divided into and is embodied by multiple modules.
The foregoing is merely the preferred embodiments of the application, are not intended to limit this application, for the skill of this field For art personnel, the application can have various modifications and variations.Within the spirit and principles of this application, any made by repair Change, equivalent replacement, improvement etc., should be included within the protection domain of the application.

Claims (9)

1. the power plant for energy conservation diagnostic method based on load weight, characterized in that including:
Step (1):The energy saving requirement that diagnostic device is waited in comprehensive descision power plant, when waiting for that the energy saving requirement of diagnostic device meets progress When the necessity of transformation, enter step (2);
Step (2):Continue to judge that this waits for that diagnostic device needs to be transformed type, step is entered when for part of appliance reducing energy consumption Suddenly (3) enter step (4) when upgrading reducing energy consumption intergenerational for equipment;
Step (3):When part of appliance reducing energy consumption, diagnostic device is waited for for this, passes through operation data under different load and setting Device level parameter work difference comparison, when the difference of certain index be more than setting first threshold when, then this wait for diagnostic device should Index is undesirable, stores that the index is corresponding to have energy-efficient key point and it is necessary to take in the first relational database Reducing energy consumption several modification schemes;
Searched in the first relational database each modification scheme to the requirement of discriminant index and this wait for whether diagnostic device meets, When meeting, using the program, the program is otherwise abandoned;
Step (4):When the intergenerational upgrading reducing energy consumption of equipment, diagnostic device is waited for for this, by operation data under different load with The whole nation is with the work difference comparison of the system-level parameters of the outstanding unit of scale, and when difference is more than the second threshold of setting, this waits diagnosing The parameter index of equipment is undesirable, and the corresponding intergenerational upgrading reducing energy consumption of the index is stored in the second relational database Energy-efficient key point and several modification schemes it is necessary to the reducing energy consumption taken;
Searched in the second relational database each modification scheme to the requirement of discriminant index and this wait for whether diagnostic device meets, When meeting, using the program, the program is otherwise abandoned.
2. the power plant for energy conservation diagnostic method based on load weight as described in claim 1, characterized in that in comprehensive descision power plant Wait for that the mode of the energy saving requirement of diagnostic device is:
If the ratio that 1 year 100% load operation hourage of certain generating set accounts for annual hours of operation is A, 75% load operation The ratio that hourage accounts for annual hours of operation is B, and the ratio that 50% load operation hourage accounts for annual hours of operation is C, The ratio that 30% load operation hourage accounts for annual hours of operation is D, and annual operation is accounted for less than 30% load operation hourage The ratio of hourage is E;
Energy saving requirement of certain equipment in 100% load operation of generating set is X1, in 75% load operation of generating set Energy saving requirement is X2, and the energy saving requirement in 50% load operation of generating set is X3, in 30% load operation of generating set Energy saving requirement be X4, the energy saving requirement when generating set is less than 30% load operation is X5, then the overall merit equipment Energy saving requirement is:
X=A × X1+B × X2+C × X3+D × X4+E × X5.
3. the power plant for energy conservation diagnostic method based on load weight as claimed in claim 2, characterized in that the section under different load Energy demand show that the desired value includes but not limited to design value, the whole nation by the comparison of the work difference of power plant's runtime value and desired value With the runtime value of the outstanding unit of scale.
4. the power plant for energy conservation diagnostic method based on load weight as claimed in claim 3, characterized in that for that can quantify to arrive The numerical value of expense after the energy saving requirement for the overall merit equipment is calculated by each load operation time weight, is searched The initial cost of the equipment in first database, when energy saving requirement reaches the certain proportion of first cost, it is believed that it is necessary into Row reducing energy consumption is stored with the first cost of all devices in first database.
5. the power plant for energy conservation diagnostic method based on load weight as claimed in claim 3, characterized in that for cannot directly measure Change the numerical value to expense, after the energy saving requirement for the overall merit equipment is calculated by each load operation time weight, The benchmark slip for searching the equipment in first database, when energy saving requirement reaches the certain proportion of benchmark slip, it is believed that It is necessary to carry out reducing energy consumption, the benchmark slip of all devices is stored in first database.
6. the power plant for energy conservation diagnostic method based on load weight as described in claim 1, characterized in that when certain unit equipment When air leak rate of air preheater index does not meet setting value, air preheater needs are improved, in the first relational database Being stored with improves the corresponding modification scheme of air preheater air leakage rate index, and the modification scheme includes:Adjustable seal reconstruction, VN are close Envelope transformation, flexible contact seal reconstruction, the discriminant index of the flexible contact seal reconstruction includes the requirement of the installation space machine When group cannot be satisfied, automatic to exclude flexible contact seal reconstruction scheme, optional scheme is adjustable seal reconstruction, VN sealings change It makes.
7. the power plant for energy conservation diagnostic method based on load weight as described in claim 1, characterized in that when system-level subcritical Pure condensate unit coal consumption of power supply A1 with National Outstanding it is subcritical compared with scale air cooling unit coal consumption of power supply A2 it is undesirable When, analyze National Outstanding overcritical same scale air cooling unit coal consumption of power supply A3, A3&lt in supercritical unit;A2<A1, optional use It is subcritical to change overcritical intergenerational upgrading;
Restrictive condition is searched in the second relational database, the big of coal is used when subcritical pure condensate unit furnace load is more than When the allowable upper limit value of capacity coal dust combustion boiler hearth volume heat load, abandon using it is subcritical change it is overcritical it is intergenerational upgrading change Make scheme.
8. a kind of computer readable storage medium, wherein being stored with a plurality of instruction, described instruction is suitable for by terminal device equipment Processor loads and executes any power plant for energy conservation diagnostic methods based on load weight of the claims 1-7.
9. the power plant for energy conservation diagnostic system based on load weight, including background server, the background server include processor And computer readable storage medium, processor is for realizing each instruction;Computer readable storage medium is used to store a plurality of instruction, It instructs for executing any power plant for energy conservation diagnostic methods based on load weight of the claims 1-7.
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