CN107292491A - The method that the power network fired power generating unit peak regulation factor is determined based on multiplicity - Google Patents
The method that the power network fired power generating unit peak regulation factor is determined based on multiplicity Download PDFInfo
- Publication number
- CN107292491A CN107292491A CN201710369123.6A CN201710369123A CN107292491A CN 107292491 A CN107292491 A CN 107292491A CN 201710369123 A CN201710369123 A CN 201710369123A CN 107292491 A CN107292491 A CN 107292491A
- Authority
- CN
- China
- Prior art keywords
- index
- generating unit
- peak
- power generating
- peak regulation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000033228 biological regulation Effects 0.000 title claims abstract description 74
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000011156 evaluation Methods 0.000 claims abstract description 36
- 238000012360 testing method Methods 0.000 claims abstract description 15
- 230000001105 regulatory effect Effects 0.000 claims description 20
- 230000001172 regenerating effect Effects 0.000 claims description 18
- 239000003245 coal Substances 0.000 claims description 8
- 230000007613 environmental effect Effects 0.000 claims description 8
- 238000002485 combustion reaction Methods 0.000 claims description 7
- 239000000779 smoke Substances 0.000 claims description 5
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 239000000446 fuel Substances 0.000 claims description 4
- 238000002360 preparation method Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 description 8
- 230000008859 change Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000012216 screening Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011158 quantitative evaluation Methods 0.000 description 2
- 230000006641 stabilisation Effects 0.000 description 2
- 238000011105 stabilization Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008450 motivation Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000005619 thermoelectricity Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Classifications
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity, list fired power generating unit peak modulation capacity and assess the quantitative target and qualitative index influence factor being considered as;The service data and performance indications during peak load regulation are determined by online thermal test in real time, real-time online calculates the quantitative target needed in peak load regulation capability evaluation;A reference value, weighted value and the code of points of quantitative target are determined using expert system, the score of each quantitative target is calculated, a reference value and weighted value of qualitative index is determined using expert system;On the basis of to quantitative target and each key element scoring of qualitative index, the examination score of this two classes index is integrated, show that the peak modulation capacity in an evaluation cycle evaluates total score, the peak regulation factor using it as the cycle, the peak regulation factor is compared, the scientific and reasonable overall merit of peak modulation capacity between different units is realized.
Description
Technical field
Power network fired power generating unit is determined based on multiplicity the present invention relates to thermal power generating technology field, more particularly to one kind
The method of the peak regulation factor.
Background technology
The need for China's power industry and national economy sustainable development, extra-high voltage grid is progressively built up, wind
The clean energy resourcies such as electricity, solar energy, nuclear power are accessed on a large scale, and thermoelectricity installed capacity is seriously superfluous, peak load regulation network scarce capacity, are occurred
Water is abandoned, abandon wind, abandon optical phenomenon.Therefore, National Development and Reform Commission, National Energy Board issue《Regenerative resource regulating units
Preferential generating trial method》, it is desirable to certain scale coal group of motors is filtered out for regenerative resource peak regulation, is effectively alleviated and is abandoned water, abandons
Wind, abandon light, promote regenerative resource to dissolve.Regenerative resource regulating units priority scheduling, it is former according to " whose peak regulation, who be benefited "
Then, regulating units incentive mechanism is set up.
Therefore, how to filter out regenerative resource regulating units needs a set of science, rule rationally, fair.No matter from
The angle of the stabilization of power grids, or for the angle of whole society's energy-saving and emission-reduction, require regenerative resource regulating units original
On the basis of need to undertake lower load, faster load responding ability, but also be necessary to ensure that unit safety, it is economical and stably
Operation, environment protection standard.Therefore the measurement for needing us to solve the fired power generating unit peak modulation capacity based on many factors analysis first is asked
Topic, realizes that peak modulation capacity between different units has the comparativity of science, this is that power network filters out classic regenerative resource
Regulating units, set up peak load regulation competence motivation mechanism, excitation electricity power enterprise and take technological means to improve peak load regulation ability
Premise.
Traditionally, the common counter of measurement peak load regulation ability is peak regulation range, i.e., unit maximum, minimum technology exert oneself it
Difference.This measure has the defect of three aspects:
1) influence that peak regulation range only reflects unit maximum, minimum technology is exerted oneself to peak load regulation ability, without anti-
Film projector group start-stop time, the influences of the other factors to peak modulation capacity such as adjustment speed of exerting oneself, more not from power grid security and section
The angle of energy emission reduction demand, it is contemplated that the influence of the factor such as the safe and environment-friendly of fired power generating unit, energy consumption level.
2) peak modulation capacity of fired power generating unit depends on many factors, and how by every factor Rational choice, according to each side
The rules evaluation peak modulation capacity formulated jointly is also a problem.This is more mainly due to the factor for influenceing peak load regulation ability
Sample, it is difficult to be represented with quantitative relationship, so as to also just be difficult to the comparison of the objective and fair to different peak load regulation abilities.
3) conventional peak load regulation merit rating needs field test to complete.Bulk power grid possesses numerous fired power generating units, if
All by field test carry out the evaluation of regenerative resource peak modulation capacity, it is necessary to take considerable time, man power and material, and number
According to artificial collection, it is difficult to ensure the justice of data.And unit constantly carries out the transformation and upgrading of equipment, also just anticipate
It is not disposable that taste the screening to regenerative resource regulating units, it is necessary to rolls and carries out, therefore passes through field test completely
Determine that renewable energy generation is difficult to.
4) peak load regulation network unit once it is determined that, it is necessary to supervise the implementation status of regulating units at any time.Traditional field surveillance
Mode needs to take considerable time, man power and material, when can only select, selects and carries out, it is therefore desirable to which online real-time oversight is as one
Plant beneficial complement.
In a word, traditional fired power generating unit peak modulation capacity evaluation method, had not both accounted for multifactor influence,
Do not account for the influence of dynamic change, lack quantitative evaluation index, it is impossible to reflect multifactor to peak load regulation ability comprehensively
Influence, is relatively rough;And peak modulation capacity evaluation is completed by field test completely, bulk power grid can not be real by this way
Now comprehensively, rollably filter out regenerative resource regulating units;Overall process supervision more can not be carried out to relating to net regulating units.It is positive because
It is also just unfavorable in this way, we are difficult to carry out just objective assessment, contrast, sequence to the peak modulation capacities of different units at present
Classic regenerative resource regulating units are filtered out in power network, the function of Optimized Operation are played, it is difficult to realize the peak load regulation network phase
Between optimization safety, economical and environmentally friendly run.
The content of the invention
The present invention is in order to solve the above problems, it is proposed that it is a kind of based on multiplicity determine power network fired power generating unit peak regulation because
The method of son, the present invention is obtained by the online thermal test of unit influences the various factors and data of peak load regulation ability, sets up
Rule is assessed based on multifactor fired power generating unit peak modulation capacity, by each factor weight and code of points, calculating obtains reflection machine
The peak regulation factor of group peak regulation integration capability, to solve to consider shadow present in existing selection regenerative resource regulating units method
Ring factor it is very few, lack qualitative assessment index the problem of.
To achieve these goals, the present invention is adopted the following technical scheme that:
A kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity, is comprised the following steps:
(1) list fired power generating unit peak modulation capacity and assess the quantitative target and qualitative index influence factor being considered as;
(2) service data and performance indications during peak load regulation, real-time online are determined by online thermal test in real time
Calculate the quantitative target needed in peak load regulation capability evaluation;
(3) a reference value, the weighted value of quantitative target are determined using expert system, the score of each quantitative target is calculated.Profit
The weighted value of qualitative index is determined with expert system;
(4) on the basis of to quantitative target and each key element scoring of qualitative index, the examination score of this two classes index is given
With synthesis, show that the peak modulation capacity in an evaluation cycle evaluates total score, the peak regulation factor using it as unit, to the tune of each unit
The peak factor is compared, and filters out regenerative resource regulating units.
In the step (1), quantitative target refers to including Load characteristics index, safety indexes, economic index and environmental protection
Mark.
In the step (1), Load characteristics index mainly includes:Oily minimum steady combustion load, AGC adjustable ranges are not thrown, adjusted
Peak speed and start-stop time;
Safety indexes mainly include:The stability of boiler combustion stability and Water circulation hydrodynamics;
Economic index refers mainly to net coal consumption rate during underload;
Environment-friendly type index mainly includes:SO2Discharge capacity, NOx discharge and smoke discharge amount;
Device characteristics mainly include:Authorized capacity, stove water-cycling mode, heat-supplying mode, the pulverized coal preparation system type of fired power generating unit
Formula and fuel characteristic.
Qualitative index includes device characteristics in the step (1).
In the step (3), quantitative target is scored at the actual value of index and the relative value of a reference value, is then multiplied by its power
Weight values are obtained.
In the step (3), in qualitative evaluation system, weigh whether indices possess certain architectural characteristic, by being
Or no two kinds of selections are evaluated, value is 1 or 0 respectively.
In the step (3), if having a certain quantitative target quantitative assessment index outside setting range, it is repaiied
Just.
In the step (3), qualitative index is scored at the actual value of index and weighted value obtains product.
In the step (3), the weight score value of qualitative or quantitative index reflects the index in whole indicator evaluation system
In shared proportion, be essentially that the influence degree size of peak modulation capacity is determined according to this index.
In the step (4), the actual values of all indexs should periodically input or on-line data acquisition by way of dynamic
Update.
Compared with prior art, beneficial effects of the present invention are:
The present invention can solve the problem that considers influence factor mistake present in existing selection regenerative resource regulating units method
Less, the problem of lacking qualitative assessment index.Online data is gathered by net source information platform, it is ensured that the objective, fair of data, public affairs
Just, the peak regulation factor of each alternative unit can be obtained in the way of in thread test, a wide range of, roller screening renewable energy is realized
Source regulating units, solve and fully rely on that field test selection regulating units are taken considerable time, human and material resources etc. are asked in the past
Topic.
Brief description of the drawings
The Figure of description for constituting the part of the application is used for providing further understanding of the present application, and the application's shows
Meaning property embodiment and its illustrate be used for explain the application, do not constitute the improper restriction to the application.
Fig. 1 is schematic flow sheet of the invention;
Fig. 2 is embodiment peak regulation factor evaluation content.
Embodiment:
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
It is noted that described further below is all exemplary, it is intended to provide further instruction to the application.Unless another
Indicate, all technologies used herein and scientific terminology are with 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 embodiment, 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 this manual using term "comprising" and/or " bag
Include " when, it indicates existing characteristics, step, operation, device, component and/or combinations thereof.
As background technology is introduced, there is traditional fired power generating unit peak modulation capacity evaluation side in the prior art
Method, had not both accounted for multifactor influence, did not accounted for the influence of dynamic change yet, lacked quantitative evaluation index, it is impossible to
Reflect the deficiency of the multifactor influence to peak load regulation ability comprehensively.In order to solve technical problem as above, present applicant proposes
A kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity, is mainly included the following steps that:
(1) list fired power generating unit peak modulation capacity and assess the major influence factors being considered as, mainly include quantitative target and fixed
Property index.Quantitative target includes Load characteristics index, safety indexes, economic index, environmental protection index, and qualitative index includes setting
Standby characteristic.These influence factors constitute the overall evaluation system of a peak modulation capacity, system be it is open, can be according to reality
Situation increases and decreases essential elements of evaluation, exits appraisement system.
Load characteristics index mainly includes:When not throwing oily minimum steady combustion load, AGC adjustable ranges, peak regulation speed, start and stop
Between;
Safety indexes mainly include:Boiler combustion stability, such as combustion chamber draft rate of change;The stabilization of Water circulation hydrodynamics
Property, such as wall temperature of heated surface.
Net coal consumption rate when economic index refers mainly to underload etc..
Environment-friendly type index mainly includes:SO2Discharge capacity, NOx discharge, smoke discharge amount etc..
Device characteristics mainly include:Authorized capacity, stove water-cycling mode, heat-supplying mode, the pulverized coal preparation system type of fired power generating unit
Formula, fuel characteristic etc..
(2) using the real-time data acquisition of each power plant, the operation number during determining peak load regulation by online thermal test
According to and performance indications, real-time online calculates the quantitative target needed in peak load regulation capability evaluation, such as Load characteristics index,
Environmental protection index, economic index, safety indexes etc.;
Important essential elements of evaluation, the unit active power provided if desired for dispatching of power netwoks are, it is necessary to the SO that province's environmental protection Room is provided2
The data such as discharge capacity, NOx discharge, smoke discharge amount, other information that can not be obtained online such as unit equipment characteristic pass through people
Work typing real-time data base.
(3) a reference value of quantitative target, weighted value and code of points determine that quantitative target is scored at by associated specialist discussion
The actual value of index and the relative value of a reference value, are then multiplied by its weight and are worth to.
(4) a reference value and weighted value of qualitative index are determined by associated specialist discussion, in qualitative evaluation system, and weighing should
Whether index possesses certain architectural characteristic, is evaluated by "Yes", two kinds of selections of "No", and then value is 1 to "Yes", "No" then value
For 0.Quantitative target is scored at the actual value of index and weighted value obtains product.
(5) calculating of the peak regulation factor
On the basis of to quantitative target and each key element scoring of qualitative index, the examination score of this two classes index is given comprehensive
Close, show that the peak modulation capacity in an evaluation cycle evaluates total score, referred to as the peak regulation factor.The peak regulation factor is reflection unit at one
An overall target of peak load regulation ability aggregate level in evaluation cycle.The peak regulation factor is compared, can be used for screening
Go out regenerative resource regulating units.
Thermal power generation unit peak modulation capacity appraisement system is open, and its internal finger can be increased and decreased according to practice situation
Mark.
Load characteristics index can be obtained by test data.
The ginsengs such as influence factor unit capacity, boiler shape, burning pattern, fuel characteristic, pulverized coal preparation system pattern, heat-supplying mode
Number is defined as set structure characterisitic parameter, is obtained by design instruction.
Influence factor environmental protection index, energy consumption index, safety index can be obtained by on-line operation data.
All quantitative targets are obtained by the peak regulation experiment of unit.
The actual value of all indexs should periodically input or on-line data acquisition by way of dynamic update.
The a reference value and weight of indices are obtained using domain-specialist knowledge.
The a reference value of indices is generally the desired value of the mark post level actually reached of outstanding renewable energy generation.
The weight score value of index reflects index proportion shared in whole indicator evaluation system, is essentially basis
This index is determined to the influence degree size of peak modulation capacity.
A reference value and weighted value are relative concepts.The constantly improve with the renewal of technology, is up to new higher, more first
Enter level, therefore a reference value and weighted value of index, will also regard technical progress of industry trend and peak load regulation capacity upgrade is timely
It is adjusted.
The peak regulation factor is the summation of all index scores.
Acquisition to the fired power generating unit peak regulation factor is can to realize that a distant place is tested completely by on-line data acquisition, without
It is that the mode for relying solely on field test is obtained.
In a kind of typical embodiment of the application, as shown in figure 1, Shandong Power 2016 is renewable to 8 units
Energy unit is appraised and decided.Using the peak regulation factor of the present invention, the peak modulation capacity sequence of unit, step such as Fig. 1 institutes have been obtained
Show:
1) determine to evaluate the index system included.Index include Load characteristics index, safety indexes, economic index,
Environmental protection index, architectural characteristic index, specific targets are as shown in Figure 2.
2) peak regulation experiment is carried out in the period of unit application, by on-line data acquisition system, collection unit is transported in real time
Row data, access Shandong Power net source monitoring integral system platform.Platform is according to the service data during peak load regulation, in real time
The quantitative target needed in online record peak load regulation capability evaluation:Load characteristics index, environmental protection index, energy consumption index, safety
Property index etc.;Other qualitative parameters that can not obtain online such as structural property parameter are possessed by manual entry by "Yes", "No"
Certain architectural characteristic is evaluated, and then value is 1 to "Yes", and then value is 0 to "No".All data actual values are as shown in Figure 2.
3) for important essential elements of evaluation, provided by more authoritative department, such as unit active power is by grid dispatching center
EMS is provided;SO2Discharge capacity, NOx discharge, smoke discharge amount are provided by the environmentally friendly Room of province.
4) composition expert group before testing, expert group is made up of genco, DianKeYuan, colleges and universities etc., true according to expert estimation
Determine a reference value and weighted value of index, as shown in Figure 2.The metewand value of each quantitative target is to weigh whether this index meets
The metewand of the mark post value of regenerative resource regulating units.Determining the foundation of the quantitative assessment a reference value of each index is:It is outstanding
The desired value of the mark post level actually reached of renewable energy generation.The weight score value of index reflects the index and entirely referred to
Proportion shared in appraisement system is marked, is essentially that the influence degree size of peak modulation capacity is determined according to this index.Base
Quasi- value and weighted value are relative concepts.The constantly improve with the renewal of technology, is up to new higher, more advanced level, because
The a reference value and weighted value of this index, also will in time be adjusted depending on technical progress of industry trend and peak load regulation capacity upgrade.
5) score calculation of quantitative target
Influence according to index to peak load regulation ability, is divided into positive index and negative sense index by index.Desired value is bigger,
Performing low-load running of machine set ability is better, then is positive index, is otherwise negative sense index.
To positive index, its single item evaluation index is calculated by formula (1), and to reverse index, single item evaluation index is based on formula (2)
Calculate:
In formula:The single item evaluation index of S --- index;
The actual value of Sx --- index;
The a reference value of So --- index.
Quantitative target total quantitative scores value is calculated by formula (3):
In formula:P1--- total quantitative scores value;
N --- participate in the index subjet sum of quantitative assessment evaluated;
Si--- the single item evaluation index of i-th index;
Ki--- the weighted value of i-th index.
The normal value of the single item evaluation index of indices is general 1.0 or so, but when its actual value is much smaller than (or long-range
In) metewand value when, the S values calculated are larger, and result of calculation can deviate reality, to other index single item evaluation indexes
Effect produces interference.In order to eliminate this irrational influence, processing need to be modified to this.The method of amendment is:S values according to
Index feature determines different spans, for example:Calculated value is taken when S values are between 0.8-1.2, S values during more than or equal to 1.2
1.2 are taken, S values take 0 during less than 0.8.
6) score calculation of qualitative index
Qualitative index examines total score to be calculated by formula (4):
In formula:P2--- qualitative evaluation index total score;
Fi--- the score value of i-th index in qualitative evaluation index system, commented by "Yes", two kinds of selections of "No"
Fixed, then value is 1 to "Yes", and then value is 0 to "No";
N --- participate in the project sum of qualitative evaluation index evaluated.
All indexs calculate score value as shown in Figure 2.
7) calculating of the peak regulation factor
On the basis of to progress quantitative target and qualitative index scoring, the evaluation score of this all index is asked
With show that the peak modulation capacity in test period section evaluates total score, referred to as the peak regulation factor.The peak regulation factor is calculated by formula (5):
P=P1+P2‥‥‥‥‥‥‥‥‥‥‥‥‥(5)
In formula:P --- the regenerative resource regulating units peak regulation factor.
Determine that peak load regulation ability sorts according to the size of the peak regulation factor, as shown in Figure 2.
The preferred embodiment of the application is the foregoing is only, the application is not limited to, for the skill of this area
For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair
Change, equivalent substitution, improvement etc., should be included within the protection domain of the application.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, not to present invention protection model
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need to pay various modifications or deform still within protection scope of the present invention that creative work can make.
Claims (10)
1. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity, it is characterized in that:Comprise the following steps:
(1) list fired power generating unit peak modulation capacity and assess the quantitative target and qualitative index influence factor being considered as;
(2) service data and performance indications during peak load regulation are determined by online thermal test in real time, real-time online is calculated
Draw the quantitative target needed in peak load regulation capability evaluation;
(3) a reference value, weighted value and the code of points of quantitative target are determined using expert system, obtaining for each quantitative target is calculated
Point, a reference value and weighted value of qualitative index are determined using expert system;
(4) on the basis of to quantitative target and each key element scoring of qualitative index, the examination score of this two classes index is given comprehensive
Close, show that the peak modulation capacity in an evaluation cycle evaluates total score, the peak regulation factor using it as the cycle is carried out to the peak regulation factor
Compare, filter out regenerative resource regulating units.
2. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity as claimed in claim 1, it is special
Levying is:In the step (1), quantitative target includes Load characteristics index, safety indexes, economic index and environmental protection index.
3. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity as claimed in claim 1, it is special
Levying is:In the step (1), Load characteristics index mainly includes:Oily minimum steady combustion load, AGC adjustable ranges, peak regulation speed are not thrown
Rate and start-stop time;
Safety indexes mainly include:The stability of boiler combustion stability and Water circulation hydrodynamics;
Economic index refers mainly to net coal consumption rate during underload;
Environment-friendly type index mainly includes:SO2Discharge capacity, NOx discharge and smoke discharge amount;
Device characteristics mainly include:The authorized capacity of fired power generating unit, stove water-cycling mode, heat-supplying mode, pulverized coal preparation system pattern and
Fuel characteristic.
4. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity as claimed in claim 1, it is special
Levying is:Qualitative index includes device characteristics in the step (1).
5. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity as claimed in claim 1, it is special
Levying is:In the step (3), quantitative target is scored at the actual value of index and the relative value of a reference value, is then multiplied by its weight
It is worth to.
6. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity as claimed in claim 1, it is special
Levying is:In the step (3), in qualitative evaluation system, weigh whether indices possess certain architectural characteristic, by yes/no
Two kinds select to evaluate, and value is 1 or 0 respectively.
7. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity as claimed in claim 1, it is special
Levying is:In the step (3), if having a certain quantitative target quantitative assessment index outside setting range, it is modified.
8. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity as claimed in claim 1, it is special
Levying is:In the step (3), qualitative index is scored at the actual value of index and weighted value obtains product.
9. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity as claimed in claim 1, it is special
Levying is:In the step (3), the weight score value of qualitative or quantitative index reflects index institute in whole indicator evaluation system
The proportion accounted for, is essentially that the influence degree size of peak modulation capacity is determined according to this index.
10. a kind of method that the power network fired power generating unit peak regulation factor is determined based on multiplicity as claimed in claim 1, it is special
Levying is:In the step (4), the actual values of all indexs should periodically input or on-line data acquisition by way of dynamic more
Newly.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710369123.6A CN107292491B (en) | 2017-05-23 | 2017-05-23 | The method for determining the power grid fired power generating unit peak regulation factor based on multiplicity |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710369123.6A CN107292491B (en) | 2017-05-23 | 2017-05-23 | The method for determining the power grid fired power generating unit peak regulation factor based on multiplicity |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107292491A true CN107292491A (en) | 2017-10-24 |
CN107292491B CN107292491B (en) | 2019-04-09 |
Family
ID=60094702
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710369123.6A Active CN107292491B (en) | 2017-05-23 | 2017-05-23 | The method for determining the power grid fired power generating unit peak regulation factor based on multiplicity |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107292491B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108695908A (en) * | 2018-06-29 | 2018-10-23 | 国网山东省电力公司电力科学研究院 | A method of online peak load regulation contribution is determined based on statistical analysis |
CN110953574A (en) * | 2019-12-04 | 2020-04-03 | 华北电力科学研究院有限责任公司 | Method and device for determining minimum peak load regulation of boiler |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104463378A (en) * | 2014-12-29 | 2015-03-25 | 国家电网公司 | Algorithm for wind power generation absorption capacity of provincial power grid in area where hydropower resources are rich |
CN104751236A (en) * | 2014-12-29 | 2015-07-01 | 国家电网公司 | Transmission capacity and wind and fire bundling transmission optimization method of extra-high voltage channel |
CN106446404A (en) * | 2016-09-26 | 2017-02-22 | 华北电力大学 | Piecewise calculation method for thermal power generating unit peak regulating energy consumption cost |
-
2017
- 2017-05-23 CN CN201710369123.6A patent/CN107292491B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104463378A (en) * | 2014-12-29 | 2015-03-25 | 国家电网公司 | Algorithm for wind power generation absorption capacity of provincial power grid in area where hydropower resources are rich |
CN104751236A (en) * | 2014-12-29 | 2015-07-01 | 国家电网公司 | Transmission capacity and wind and fire bundling transmission optimization method of extra-high voltage channel |
CN106446404A (en) * | 2016-09-26 | 2017-02-22 | 华北电力大学 | Piecewise calculation method for thermal power generating unit peak regulating energy consumption cost |
Non-Patent Citations (1)
Title |
---|
林俐等: "规模风电并网条件下火电机组深度调峰的多角度经济性分析", 《电力***自动化》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108695908A (en) * | 2018-06-29 | 2018-10-23 | 国网山东省电力公司电力科学研究院 | A method of online peak load regulation contribution is determined based on statistical analysis |
CN110953574A (en) * | 2019-12-04 | 2020-04-03 | 华北电力科学研究院有限责任公司 | Method and device for determining minimum peak load regulation of boiler |
Also Published As
Publication number | Publication date |
---|---|
CN107292491B (en) | 2019-04-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103513640A (en) | Integral optimization method and system for automatic power generation system of coal-fired unit | |
CN105160149B (en) | A kind of demand response scheduling evaluation system construction method for simulating regulating units | |
CN106991539A (en) | A kind of energy resource system Optimization Scheduling and device | |
CN109146123A (en) | A kind of multiple-energy-source comprehensive coordination effect evaluation method and system | |
CN107507078A (en) | A kind of distributed energy distribution of income strategy based on bargaining game | |
CN104102840A (en) | Evaluation method for photovoltaic power receptivity of power distribution network | |
CN107292491B (en) | The method for determining the power grid fired power generating unit peak regulation factor based on multiplicity | |
Zhang et al. | Economic evaluation of Wind–PV–Pumped storage hybrid system considering carbon emissions | |
CN115864429A (en) | Multi-objective optimization AGC method for wind and fire storage cooperation under double-carbon target | |
CN108695893B (en) | Method for decomposing influence factors of new energy electric quantity abandoning of provincial power grid | |
CN114301081A (en) | Micro-grid optimization method considering energy storage life loss and demand response of storage battery | |
Wang et al. | Aggregated large-scale air-conditioning load: Modeling and response capability evaluation of virtual generator units | |
CN105184502B (en) | A kind of energy-saving and emission-reduction machine unit scheduling method based on unit pollutant emission | |
CN111275337A (en) | Electric power market development state evaluation method and system | |
CN106056168A (en) | Method for determining optimal value of operation condition of gas-steam combined cycle generating unit | |
CN115034618A (en) | Community comprehensive energy system benefit evaluation method based on fuzzy evaluation | |
CN110428088B (en) | Combined staged heating improvement planning method considering incremental load distribution | |
Guoying et al. | Load aggregator bidding strategy in peak regulation market based on selective combination game | |
CN113239315A (en) | Method for evaluating bidding effect of hydropower participation electric power spot market | |
Ma et al. | Index and evaluation method of source-network-load interaction for low-carbon development of coal-fired power plants | |
Xing et al. | Post-evaluation method and index system for energy Internet projects based on attribute theory | |
Zhang et al. | Evaluation model of load regulation value for consumers in the orderly power utilization | |
Peng et al. | Projection Method of Energy Storage System in Power Spot Market for Renewable Accommodation | |
Lin et al. | Bilevel optimal dispatch model for a peak regulation ancillary service in an industrial park of energy-intensive loads | |
Liu et al. | [Retracted] Research on Modeling the Optimization of Power Load Combination for Power Sales Company |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |