CN105896538B - A kind of station-service electric load correction model modeling method based on measured data - Google Patents
A kind of station-service electric load correction model modeling method based on measured data Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention discloses a kind of station-service electric load correction model modeling method based on measured data, it is characterized in that, include the following steps：1）It establishes in the main station service of thermal power plant and presses load；2）Establish the relationship of the important load and unit operating mode in boiler system；3）Establish part throttle characteristics of the middle pressure subsidiary engine of steam turbine system in different unit outputs；4）With reference to station service part throttle characteristics, and the voltage and static frequency characteristic of station-service electric load are considered simultaneously, propose the static modification load model of station service；5）Based on power plant's real data, the unknown parameter in station-service electric load correction model is improved with least square method.The advantageous effect that the present invention is reached：Based on the relationship between power plant's actual operating data research station-service electric load and generating set operating condition, and the static modification model for the station-service electric load established accordingly, the deviation of traditional station service load model result and real data can effectively be solved, the station-service electric load correction model has certain reasonability and very high precision, is of great significance to the calculating of actual electric network.
Description
Technical field
The invention belongs to load modeling technical fields more particularly to a kind of station-service electric load based on measured data to correct mould
Type modeling method.
Background technology
It is continuously emerged with continuous expand of system scale with Novel electric equipment, the dynamic characteristic of load also becomes more next
It is more complicated.Power grid security or economical operation will be adversely affected using optimistic or conservative load model.1996 North Americas
Have a power failure on a large scale causes simulation result excessively optimistic precisely due to researcher employs more conservative load model, has caused one
Lose the serious accident of load 30GW.The levels of precision of load model is to the short circuit current of electric system, small interference, transient stability
Great influence is suffered from the calculating such as voltage stabilization and HVDC dynamic characteristics.
There are mainly two types of traditional load modeling methods：Component Based and Measurement-based approach.With load scale and kind
The expansion of class, Component Based efficiency and precision be not high, less use.Load is considered as an entirety by Measurement-based approach,
The known variables in load model are determined based on measured data and using modern control theory and identification algorithm.Achievement in research at present
In, some common load modeling methods only consider the active power of load and the voltage and frequency of reactive power and system mostly
Between relationship, have ignored the other influences factor of load power.
Invention content
In view of the problems of the existing technology the present invention, provides a kind of station-service electric load amendment based on measured data
Model modelling approach, the static modification model established can effectively solve traditional station service load model result and real data
Deviation, precision higher, reasonability is stronger, is of great significance to the calculating of actual electric network.
The technical solution adopted in the present invention is a kind of station-service electric load correction model modeling side based on measured data
Method includes the following steps：
Step 1), which is established in the station service of thermal power plant, presses load composition, is born including boiler system load and turbine system
Lotus, wherein boiler system load include the load of wind turbine and coal pulverizer, and turbine system load includes the load of middle pressure subsidiary engine；
Step 2) establishes the relationship of the load and unit operating mode in boiler system, that is, studies wind turbine and coal pulverizer and unit
The fluctuation tendency of active power output；
Step 3) establishes part throttle characteristics of the middle pressure subsidiary engine of turbine system in different unit outputs；
There are direct proportions according to the station service payload including wind turbine, coal pulverizer and unit active power output for step 4)
The voltage and static frequency characteristic of relationship and station-service electric load establish the static modification load model of station service；
Step 5) obtains unknown in station service static modification load model having according to measured data by least square method
The relevant parameter of work(power and reactive power and unit active power output.
Further, the static modification load model that station service is established in the step 4) is specific as follows：
It is as follows based on the common electric load model foundation station-service electric load correction model of tradition：
Wherein, P and Q is respectively the active power and reactive power of station-service electric load, PNAnd QNRespectively station-service electric load
Rated active power and reactive power, PG αAnd PG βRepresent that the active power of station-service electric load and reactive power have with unit respectively
The related coefficient that work(is contributed, α and β be respectively station-service electric load active power and reactive power it is related to unit active power output
Index, U are the voltage perunit value of station service busbar, and Δ f is the perunit value of frequency departure.
Further, the step 5) obtains station service static modification load according to measured data by least square method
The relevant parameter of unknown active power and reactive power and unit active power output is specially in model：
Formula (2) correction model is converted and can obtained：
It enables
y1=lnP, a0=lnPN,x1=lnPG,x2=lnU, x3=ln (1+2.9 Δs f), y2=lnQ, b0=lnQN,
x4=ln (1+1.8 Δ f), then (3) formula can transform to：
Least square method is recycled, which to carry out parameter Estimation, to be described as：
Utilize extremum conditions：
Parameter a is acquired by formula (5)0,α,b0, the value of β, α and β are respectively the active power of station-service electric load and idle work(
The index of correlation of rate and unit active power output, a0And b0The respectively nature of station-service electric load rated active power and reactive power
Logarithm.
The beneficial effects of the invention are as follows：The static modification model established by the present invention can effectively solve traditional station service
The deviation of load model result and real data, precision higher, reasonability is stronger, has important meaning to the calculating of actual electric network
Justice.
Description of the drawings
The flow chart of Fig. 1 present invention；
The part throttle characteristics figure of Fig. 2 primary air fans and pressure fan；
Fig. 3 coal pulverizer part throttle characteristics figures；
Fig. 4 is water circulating pump part throttle characteristics figure；
Fig. 5 is station service burden with power and the relational graph of unit active power output；
Fig. 6 is the relational graph of station service load or burden without work and unit active power output.
Specific embodiment
Technical scheme of the present invention is described in further detail now.
As shown in figs 1 to 6, a kind of station-service electric load correction model modeling method based on measured data of the present invention, step
1) it establishes in the main station service of thermal power plant and presses load：More than the 70% electricity consumption Zhan Quan factories of boiler system and steamer system,
Peak load wherein in boiler system is wind turbine and coal pulverizer, and the main loads in steamer system are middle pressure subsidiary engines, and middle pressure is auxiliary
Larger load is water circulating pump, solidifying pump and closed cold pump in machine；
Step 2) establishes the relationship of the important load and unit operating mode in boiler system.Maximum load is in boiler system
Wind turbine, wind turbine include primary air fan, pressure fan and air-introduced machine.The payload and unit of primary air fan, pressure fan and air-introduced machine
Required coal dust amount, the required air of burning, the exhaust gas volumn that generates have direct association.By taking certain million unit as an example, no
Part throttle characteristics with primary air fan during unit output and pressure fan is as shown in Figure 2.Primary air fan and pressure fan load have with unit
The fluctuation tendency that work(is contributed is consistent.But the fluctuation of unit active power output lags behind the fluctuation of primary air fan and pressure fan, that is, receives
To after dispatch command, primary air fan and pressure fan can be adjusted first, and unit output can just meet scheduling after needing a period of time
Instruction.
In addition to wind turbine, coal pulverizer is also the important load in boiler system, and size depends on the number of coal dust needed for boiler
Amount, it is directly related with the operating condition of unit.By taking million units as an example, coal pulverizer part throttle characteristics such as Fig. 3 during different unit outputs
It is shown.Similar to wind turbine, the fluctuation tendency of coal pulverizer load and unit output is completely the same, and the fluctuation of unit output lags behind
The fluctuation of coal pulverizer load.
Step 3) establishes part throttle characteristics of the middle pressure subsidiary engine of steam turbine system in different unit outputs.Master in steam turbine system
It is middle pressure subsidiary engine to want load, and middle pressure subsidiary engine is mainly water circulating pump, solidifying pump and closed cold pump, payload usually with unit operating mode
It is unrelated, fluctuate very little.By taking million units as an example, water circulating pump part throttle characteristics is as shown in Figure 4 during different unit outputs.Water circulating pump
Range of load fluctuation very little, it is not related with the size of unit active power output, it is believed that be constant load.
Step 4) establishes the static modification load model of station service.
Traditional station service Static Load model is as follows：
In formula:P and Q is respectively the active power and reactive power of station-service electric load, PNAnd QNRespectively station-service electric load
Rated active power and reactive power, U are the voltage perunit value of station service busbar, and Δ f is the perunit value of frequency departure.
By step 2) and step 3) it is found that the size of the station-services electric load such as primary air fan, pressure fan, air-introduced machine and coal pulverizer
There are steam turbines system loadings such as the relationship of direct proportion, water circulating pumps it is constant load with the active power output of unit.Therefore, station service is born
The relationship of lotus and unit output can be represented with power function, while the voltage in view of station-service electric load and frequency static spy
Property, propose that station-service electric load correction model is as follows based on formula (1)：
In above formula, PG αAnd PG βThe active power of expression station-service electric load and reactive power and unit active power output respectively
Related coefficient, wherein, PGIt is measured data for the perunit value of unit output, α and β are respectively the active power of station-service electric load
With reactive power and the index of correlation of unit active power output.
Step 5) improves the unknown parameter in station-service electric load correction model.
In formula (14), α and β are respectively the active power of station-service electric load and the phase of reactive power and unit active power output
Index is closed, needs to recognize to obtain using measured data.Further, since Service Power in Thermal Power Plant load is in large scale, can not count
The rated active power P of station-service electric loadNWith rated reactive power QN.Therefore, the rated active power P of station-service electric loadNAnd volume
Determine reactive power QNIt is also required to recognize to obtain using measured data.
The present invention uses the unknown parameter in least squares identification station-service electric load correction model, and specific method is as follows：
Correction model, which is converted, to be obtained：
It enables
y1=lnP, a0=lnPN,x1=lnPG,x2=lnU, x3=ln (1+2.9 Δs f), y2=lnQ, b0=lnQN,x4=
Ln (1+1.8 Δ f), then (3) formula can transform to：
Carrying out parameter Estimation using linear least square can be described as：
Utilize extremum conditions：
Parameter a can be acquired using equation group0,α,b0, the value of β.Wherein, α and β is respectively the active of station-service electric load
The index of correlation of power and reactive power and unit active power output, a0And b0Respectively station-service electric load rated active power and nothing
The natural logrithm of work(power, J1、J2For the model and the deviation of real data established.
From measured data 100 groups of data of extraction in certain power plant in June, 2015, carried out according to formula (2) using least square method
It is as follows that parameter identification can obtain station service load model：
Fig. 5 and Fig. 6 is respectively the comparison of formula (7) and measured data, this hair it can be seen from Fig. 5 and Fig. 6 experimental results
The bright load model result global error being related to is smaller, and mean error is no more than 3%.
Using 100 groups of data that least square method uses as the training set of neural network, by obtained result and station service
Load correction model is compared, and the results are shown in Table 1：
1 two kinds of model error comparisons of table
As known from Table 1, the correction model of station-service electric load and neural network model result are closer to, inclined with real data
Difference is smaller, and mean error is respectively 2.17% and 1.70%.The above results show the factory that station-service electric load correction model is assumed
There is certain reasonability in power function relationship between power load and the active power output of generating set.
Using above-mentioned desirable embodiment according to the present invention as enlightenment, by above-mentioned description, relevant staff is complete
Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention
Property range is not limited to the content on specification, it is necessary to determine its technical scope according to right.
Claims (1)
1. a kind of station-service electric load correction model modeling method based on measured data, which is characterized in that include the following steps：
Step 1) establishes pressure load composition in the station service of thermal power plant, including boiler system load and turbine system load,
Middle boiler system load includes the load of wind turbine and coal pulverizer, and turbine system load includes the load of middle pressure subsidiary engine；
Step 2) establishes the relationship of the load and unit operating mode in boiler system, that is, studies wind turbine and coal pulverizer and unit is active
The fluctuation tendency of output；
Step 3) establishes part throttle characteristics of the middle pressure subsidiary engine of turbine system in different unit outputs；
There are direct proportion passes according to the station service payload including wind turbine, coal pulverizer and unit active power output for step 4)
System and the voltage and static frequency characteristic of station-service electric load establish the static modification load model of station service；
Step 5) obtains wattful power unknown in station service static modification load model according to measured data by least square method
The relevant parameter of rate and reactive power and unit active power output；
The static modification load model that station service is established in the step 4) is specific as follows：
Static modification load model based on the common electric load model foundation station service of tradition is as follows：
Wherein, P and Q is respectively the active power and reactive power of station-service electric load, PNAnd QNRespectively station-service electric load is specified
Active power and reactive power, PG αAnd PG βRepresent respectively the active power of station-service electric load and reactive power and unit it is active go out
The related coefficient of power, α and β are respectively the active power of station-service electric load and reactive power is related to unit active power output refers to
Number, voltage perunit values of the U for station service busbar, perunit values of the △ f for frequency departure, PGPerunit value for unit output；
The step 5) obtains unknown in station service static modification load model having according to measured data by least square method
Work(power and the relevant parameter of reactive power and unit active power output are specially：
Formula (2) correction model is converted and can obtained：
It enables
y1=lnP, a0=lnPN,x1=lnPG,x2=lnU, x3=ln (1+2.9 △ f), y2=lnQ, b0=lnQN,
x4=ln (1+1.8 △ f), then (3) formula can transform to：
Least square method is recycled, which to carry out parameter Estimation, to be described as：
Utilize extremum conditions：
Parameter a is acquired by formula (5)0,α,b0, the value of β；
Wherein, α and β is respectively the active power of station-service electric load and the index of correlation of reactive power and unit active power output, a0With
b0The respectively natural logrithm of station-service electric load rated active power and reactive power, J1、J2For the model and actual number established
According to deviation.
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| CN106570207A (en) * | 2016-09-30 | 2017-04-19 | 国家电网公司 | Plant load optimization setting method in leading phase operation of generator based on PSASP |
| CN107818678B (en) * | 2017-10-27 | 2019-10-11 | 武汉大学 | Real-time online modification method and device for power information acquisition system |
| CN109887613A (en) * | 2019-01-22 | 2019-06-14 | 国电科学技术研究院有限公司 | A kind of method and system calculating boiler efficiency |
| CN111695249B (en) * | 2020-05-29 | 2023-08-01 | 广东省特种设备检测研究院顺德检测院 | Prediction method for heat efficiency of gas boiler |
| CN111796143B (en) * | 2020-09-10 | 2020-12-15 | 深圳华工能源技术有限公司 | Energy-saving metering method for energy-saving equipment of power distribution and utilization system |
| CN112700039B (en) * | 2020-12-29 | 2023-12-05 | 华北电力大学 | Steady state detection and extraction method for load operation data of thermal power plant |
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