CN109325879A - Inquire into the space-time polymerization of the comprehensive power factor of the variation dispatched for a long time in power station - Google Patents
Inquire into the space-time polymerization of the comprehensive power factor of the variation dispatched for a long time in power station Download PDFInfo
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- CN109325879A CN109325879A CN201811076152.4A CN201811076152A CN109325879A CN 109325879 A CN109325879 A CN 109325879A CN 201811076152 A CN201811076152 A CN 201811076152A CN 109325879 A CN109325879 A CN 109325879A
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Abstract
The invention discloses a kind of space-time polymerizations of comprehensive power factor of variation inquired into and dispatched for a long time in power station, include: S1, obtain hydroelectric station operation measured data, count the power output range in power station, according to the n-h-q characteristic curve of different type unit, synthesis power factor k when each unit gives power generating value and productive head is calculated0Value；S2, the power output range in power station is divided into several sections, counts all units respectively in the runing time in each section, as time weighting；In each section, the power output situation of different units is further counted, as space weight；S3, space-time polymerization model is established, obtains the synthesis power factor k value of the variation in entire power station；S4, establish entire power station the corresponding productive head of synthesis power factor corresponding relationship, formed k-h curve graph, for interpolation use.The present invention can reduce the calculating error in power station in scheduling for a long time, improve computational accuracy.
Description
Technical field
The present invention relates to the technical field of reservoir operation more particularly to a kind of to inquire into the variation dispatched for a long time in power station comprehensive
Close the space-time polymerization of power factor.
Background technique
Hydroelectric generation occupies leading position in renewable energy.And reservoir operation is then the pass in water generating
Key link.In order to further increase energy resource supply efficiency, there are many researchs for improving hydroelectric generation efficiency.These researchs are most all
It concentrates in the improvement of reservoir capacity adjustment rule and the improvement of reservoir optimizing and dispatching method.But in fact, long in power station
Routine dispactching and the Optimized Operation simulation of phase is all the basis for evaluating hydropower station efficiency.Thus, guarantee reservoir operation simulation meter
The order of accuarcy of calculation is also a part very important in research.
In power station in scheduling for a long time, power benefit can be measured with output of power station N.The power output N's in power station is normal
See that calculation formula is as follows:
N=k × q × h
Wherein q is generating flow, and h is productive head, and k is comprehensive power factor.Coefficient k is equal to gravity constant g multiplied by water
The efficiency of motor group is the key parameter in hydroelectric generation simulation.It is calculated to simplify, k value is generally viewed as fixed constant.Thing
In reality, k value and machine set type, practical operation situation are related, it is a continually changing coefficient.Thus, the variation shadow of k value
The power output simulation for ringing power station scheduling calculates, and simplifies the simulation precision for calculating and will affect routine dispactching and Optimized Operation.
In order to inquire into variation k value, common method is directly inquired into based on measured data, find k value and head or its
Rule between its variable, but this method is influenced unit that is excessive, and being only used for single type by measured data.It is another
Method is to constantly update the n-h-q characteristic curve of power station different type unit, by calculating power output using modified curve, but
This method is only used for the short term scheduling of reservoir, may not apply to medium-term and long-term scheduling.How to inquire into for long in entire power station
The comprehensive power factor k value of the variation of phase scheduling is the key that improve power station routine dispactching and Optimized Operation simulation computational accuracy.
Summary of the invention
The technical problem to be solved in the present invention is that for the defects in the prior art, providing one kind and inquiring into length in power station
The space-time polymerization of the comprehensive power factor of the variation of phase scheduling.
The technical solution adopted by the present invention to solve the technical problems is:
The present invention provides a kind of space-time polymerization for inquiring into the comprehensive power factor of the variation dispatched for a long time in power station, should
Method the following steps are included:
S1, hydroelectric station operation measured data is obtained, the power output range in power station is counted, according to the n-h- of different type unit
Q characteristic curve, n indicate power generating value, and h indicates that productive head, q indicate generating flow, calculates each unit and give power generating value and power generation
Synthesis power factor k when head0Value；
S2, the power output range in power station is divided into several sections, counts all units respectively in the operation in each section
Time, as time weighting；In each section, the power output situation of different units is further counted, as space weight；
S3, space-time polymerization model is established, different type unit is given to synthesis power factor when power generating value, productive head
kijValue, and time weighting and space multiplied by weight and adds up, and obtains the synthesis power factor k value of the variation in entire power station；Its
Middle kijRepresent variation k value of the jth class unit in the i-th section；
S4, corresponding relationship between the corresponding productive head h of synthesis power factor k value in entire power station, shape are established
At k-h curve graph, for interpolation use is carried out in power station when long-term scheduling controlling.
Further, step S1 of the invention method particularly includes:
S11, hydroelectric station operation measured data is obtained, counts the power output range in power station；
S12, the n-h-q characteristic curve according to different type unit, utilize formulaN indicates power generating value, h table
Show that productive head, q indicate generating flow, calculates synthesis power factor k when each unit gives power generating value and productive head0Value.
Further, step S2 of the invention method particularly includes:
The power output range in power station is divided into M grade, M-1 power output section is formed, force data is surveyed out according to power station,
The runing time a of the unit in each section in entire power station is counted respectivelyi, i=1,2 ... ..., M can then find out power station in difference
Time weighting in section is as follows:
Wherein, aiPower output frequency of the power station in i-th of section is represented, A represents power station going out in normal operation range
The total frequency of power, AiThe as time weighting that is operated normally in the i-th section of power station；For i-th of section, power station is further counted
The actual run time b of different type unitj, j=1,2 ... ..., P can then find out all kinds of units in power station and go out in a certain section
The space distribution condition of power is as follows:
Wherein, bjIt represents jth class unit to contribute in the i-th section frequency, B represents all units in power station going out in the section
Power frequency, BjIn as a certain traffic coverage, the space weight of power station unit operation.
Further, step S3 of the invention method particularly includes:
Different type unit is given to synthesis power factor k when power generating value, productive headijValue, with time weighting and sky
Between multiplied by weight and add up, the k value for solving a series of variations in corresponding entire power station is as follows:
K=∑ kij×Ai×Bj
Wherein, kijRepresent variation k value of the jth class unit in the i-th section, AiAnd BjThen respectively represented time weighting and
Space weight.
Further, step S4 of the invention method particularly includes:
The corresponding relationship between the corresponding productive head h of synthesis power factor k value in entire power station is established, formation can
For the k-h curve graph of difference, in for power station when long-term scheduling controlling, according to the curve graph having built up, for different h
Value, interpolation obtain corresponding k value.
The beneficial effect comprise that: of the invention inquires into the comprehensive power factor of the variation dispatched for a long time in power station
Space-time polymerization, can reduce in power station and to be calculated in scheduling for a long time in order to simplify, actual change k value is taken as definite value institute band
The power output simulation come calculates error；Fully consider the continuous variation characteristic of comprehensive power factor, it can be according to by theoretical n-h-q machine
Group characteristic curve with unit actual operating data ining conjunction with, provide it is a kind of in for a long time dispatch in suitable for entire power station it is reliable,
The calculation method of the comprehensive power factor k value of easy variation, to improve output of power station simulation computational accuracy.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is the space-time polymerization side for the comprehensive power factor of variation that inquiring into present example is dispatched for a long time in power station
The flow chart of method.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.
As shown in Figure 1, the space-time that power station changes comprehensive power factor in medium-term and long-term scheduling provided by the present embodiment gathers
Conjunction method the following steps are included:
1, according to measured data, the power output range of power station operation is counted, it is bent based on power station different type n-h-q machine unit characteristic
Line calculates the synthesis power factor k value changed in each unit range of operation in power station.
Firstly, according to measured data, the power output range of statistics power station operation.
Secondly, utilizing formula according to the characteristic curve of the different types of unit n-h-q in power stationAcquire power station
Each unit gives synthesis power factor k when power generating value, head0Value.
2, output of power station range is divided into several sections, counts all units respectively in the runing time in each section,
As time weighting；In each section, the power output situation of different units is further counted, as space weight.
Firstly, according to measured data, the power output range of statistics power station operation, and it is divided into 1,2 ... ... M grade,
To which power station range of operation is divided into M-1 section.
Secondly, surveying out force data according to power station, the runing time of the unit in each section in entire power station is counted respectively
ai(i=1,2 ... ..., M) it is as follows can then to find out time weighting of the power station in different sections:
A in formulaiPower output frequency of the power station in i-th of section is represented, A represents power output of the power station in normal operation range
Total frequency, AiThe as time weighting that is run in the i-th section of power station.
Again, for i-th of section, the actual run time b of power station different type unit is further countedj(j=1,
2 ... ..., P), then it is as follows can to find out power output situation of the power station unit in a certain section:
B in formulajIt represents jth class unit to contribute in the i-th section frequency, B represents all units in power station going out in the section
Power frequency, BjIn as a certain traffic coverage, the space weight of power station unit operation.
3, space-time polymerization model is established, each unit in power station is given to synthesis power factor k when power generating value, headijValue with
Time weighting and space multiplied by weight simultaneously add up, and solve a series of k value of variations in corresponding entire power station.
K=∑ kij×Ai×Bj
In formula, kijRepresent variation k value of the jth class unit in the i-th section, AiAnd BjThen respectively represented time weighting and
Space weight.
4, it is analyzed based on data, establishes the relationship of k value with corresponding head h, form the k-h curve graph of variation k value for interpolation
It solves.
For the ease of the solution of k value, it would be desirable to establish the relationship of k value Yu its dependent variable, thus establish k-h relationship, and mention
For k-h interpolation curve figure, after determining h can interpolation acquire corresponding variation k value.
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (5)
1. a kind of space-time polymerization for inquiring into the comprehensive power factor of the variation dispatched for a long time in power station, which is characterized in that should
Method the following steps are included:
S1, hydroelectric station operation measured data is obtained, counts the power output range in power station, it is special according to the n-h-q of different type unit
Linearity curve, n indicate power generating value, and h indicates that productive head, q indicate generating flow, calculates each unit and give power generating value and productive head
When synthesis power factor k0Value；
S2, the power output range in power station is divided into several sections, counts all units respectively in the runing time in each section,
As time weighting；In each section, the power output situation of different units is further counted, as space weight；
S3, space-time polymerization model is established, different type unit is given to synthesis power factor k when power generating value, productive headij
Value, and time weighting and space multiplied by weight and adds up, and obtains the synthesis power factor k value of the variation in entire power station；Wherein
kijRepresent variation k value of the jth class unit in the i-th section；
S4, corresponding relationship between the corresponding productive head h of synthesis power factor k value in entire power station is established, forms k-h
Curve graph, for carrying out interpolation use in power station when long-term scheduling controlling.
2. the space-time polymerization side according to claim 1 for inquiring into the comprehensive power factor of the variation dispatched for a long time in power station
Method, which is characterized in that step S1's method particularly includes:
S11, hydroelectric station operation measured data is obtained, counts the power output range in power station；
S12, the n-h-q characteristic curve according to different type unit, utilize formulaN indicates power generating value, and h indicates hair
Electric head, q indicate generating flow, calculate synthesis power factor k when each unit gives power generating value and productive head0Value.
3. the space-time polymerization side according to claim 1 for inquiring into the comprehensive power factor of the variation dispatched for a long time in power station
Method, which is characterized in that step S2's method particularly includes:
The power output range in power station is divided into M grade, M-1 power output section is formed, force data is surveyed out according to power station, respectively
Count the runing time a of the unit in each section in entire power stationi, i=1,2 ... ..., M can then find out power station in different sections
Interior time weighting is as follows:
Wherein, aiPower output frequency of the power station in i-th of section is represented, A represents the total frequency of power output of the power station in normal operation range
Number, AiThe as time weighting that is operated normally in the i-th section of power station；For i-th of section, power station inhomogeneity is further counted
The actual run time b of type unitj, j=1,2 ... ..., P can then find out the sky that all kinds of units in power station are contributed in a certain section
Between distribution condition it is as follows:
Wherein, bjIt represents jth class unit to contribute in the i-th section frequency, B represents all units in power station in the power output frequency in the section
Number, BjIn as a certain traffic coverage, the space weight of power station unit operation.
4. the space-time polymerization side according to claim 3 for inquiring into the comprehensive power factor of the variation dispatched for a long time in power station
Method, which is characterized in that step S3's method particularly includes:
Different type unit is given to synthesis power factor k when power generating value, productive headijValue, with time weighting and space right
Heavy phase multiplies and adds up, and the k value for solving a series of variations in corresponding entire power station is as follows:
K=∑ kij×Ai×Bj
Wherein, kijRepresent variation k value of the jth class unit in the i-th section, AiAnd BjTime weighting and space are then respectively represented
Weight.
5. the space-time polymerization side according to claim 1 for inquiring into the comprehensive power factor of the variation dispatched for a long time in power station
Method, which is characterized in that step S4's method particularly includes:
The corresponding relationship between the corresponding productive head h of synthesis power factor k value in entire power station is established, is formed for difference
The k-h curve graph of value, in for power station when long-term scheduling controlling, according to the curve graph that has built up, for different h values,
Interpolation obtains corresponding k value.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030053653A1 (en) * | 1995-05-08 | 2003-03-20 | Rhoads Geoffrey B. | Watermark embedder and reader |
| CN103593508A (en) * | 2013-10-23 | 2014-02-19 | 广东电网公司电力科学研究院 | Universal simulation platform for large-sized pumped storage power stations |
| CN105678046A (en) * | 2014-11-18 | 2016-06-15 | 日本电气株式会社 | Missing data repairing method and device in time-space sequence data |
| US20170234292A1 (en) * | 2016-01-18 | 2017-08-17 | Horacio L. Velasco | Method for operation of hydropower reservoir with a 2-parameter elevation rule curve |
| CN107059761A (en) * | 2017-06-19 | 2017-08-18 | 武汉大学 | Multi-reservoir storage capacity space-time distribution design method |
-
2018
- 2018-09-14 CN CN201811076152.4A patent/CN109325879B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030053653A1 (en) * | 1995-05-08 | 2003-03-20 | Rhoads Geoffrey B. | Watermark embedder and reader |
| CN103593508A (en) * | 2013-10-23 | 2014-02-19 | 广东电网公司电力科学研究院 | Universal simulation platform for large-sized pumped storage power stations |
| CN105678046A (en) * | 2014-11-18 | 2016-06-15 | 日本电气株式会社 | Missing data repairing method and device in time-space sequence data |
| US20170234292A1 (en) * | 2016-01-18 | 2017-08-17 | Horacio L. Velasco | Method for operation of hydropower reservoir with a 2-parameter elevation rule curve |
| CN107059761A (en) * | 2017-06-19 | 2017-08-18 | 武汉大学 | Multi-reservoir storage capacity space-time distribution design method |
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