CN109375104B - Online checking method of unit AVR model applied to network source platform - Google Patents
Online checking method of unit AVR model applied to network source platform Download PDFInfo
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- CN109375104B CN109375104B CN201811187694.9A CN201811187694A CN109375104B CN 109375104 B CN109375104 B CN 109375104B CN 201811187694 A CN201811187694 A CN 201811187694A CN 109375104 B CN109375104 B CN 109375104B
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 230000005284 excitation Effects 0.000 claims abstract description 89
- 238000005070 sampling Methods 0.000 claims abstract description 39
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000012546 transfer Methods 0.000 claims description 10
- 238000012795 verification Methods 0.000 claims description 7
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 230000001052 transient effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
Abstract
The invention discloses an online checking method of a unit AVR model applied to a network source platform, which comprises the following steps: a, sampling an excitation voltage, an excitation current, an excitation voltage given value, a terminal voltage and a PSS output value; b, calculating an output value of the excitation voltage on the network source platform in real time according to the input quantity; c, comparing the excitation voltage output value calculated in real time on the network source platform with the actually sampled excitation voltage value; and D, according to the comparison result, if the error between the real-time calculated value of the network source platform and the actual sampling value is within an allowable range, considering that the excitation model of the unit is accurate, otherwise, judging that the model of the unit is inaccurate, and giving an alarm. The method is used for online checking and verifying the AVR model of the unit by the network source platform, can play a good role in remotely monitoring the AVR model of the unit, can ensure the safe and stable operation of the unit, and can save a large amount of manpower and material resources.
Description
Technical Field
The invention relates to the field of power system machine network coordination, in particular to an online verification method of a unit AVR model applied to a network source platform.
Background
The generator of the modern power system is provided with an automatic excitation regulator (AVR), when the operation condition of the system changes, the AVR can achieve the purpose of stabilizing the generator terminal voltage by regulating the excitation current, and moreover, when the power angle of the generator set changes, the generator provided with the AVR can improve the static limit power of the generator set by changing the value of the internal potential.
The loss of transient stability of the power system may cause power failure and may gradually develop into the breakdown of the whole system and large-area power failure, and in the measure of improving the transient stability of the system, the automatic excitation control (AVR) of the generator has unique advantages: the effect is obvious, and the output of a very large generator can be controlled with very small power; secondly, the engineering is easy to realize, and especially, most of the existing excitation adjusting devices are realized digitally, so that the investment is low.
The excitation parameter setting is unreasonable in the actual operation process of the unit, or the digital chip is interfered to cause the actual excitation model to be calculated incorrectly, and other potential problems, which cause great potential safety hazards to the safe operation of the power grid, so that the real-time remote online monitoring of the excitation model of the unit is particularly urgent.
Disclosure of Invention
The invention aims to provide an online checking method of a unit AVR model applied to a network source platform, so as to realize remote online verification of a unit excitation model and ensure the correct operation of the unit excitation model.
In order to achieve the purpose, the invention adopts the following technical scheme:
an online checking method of a unit AVR model applied to a network source platform comprises the following steps:
step A: and sampling an excitation voltage, an excitation current, an excitation voltage given value, a terminal voltage and a PSS output value.
And B: calculating excitation voltage on a network source platform in real time;
and C: comparing the calculated value of the excitation voltage with a real-time sampling value;
step D: and judging whether the error between the calculated value of the excitation voltage and the sampling value meets the requirement or not, and alarming when the error does not meet the requirement.
The step A comprises the following steps:
in daily operation, PSS output, given value of excitation voltage, machine end voltage, excitation voltage and excitation current of the unit are sampled at a slower data sampling rate, and sampling data are recorded as Upss(m)、Uref(m)、Ut(m)、Uf(m) and if(m) storing the sampled data locally, and storing the sampled data Upss(m)、Uref(m)、Ut(m)、Uf(m) and if(m) carrying out checking calculation on the model;
when the terminal voltage U is detectedt(m) when the change exceeds the set threshold, real-time sampling PSS output, excitation voltage set value, machine end voltage, excitation voltage and excitation current of the unit at a faster sampling rate, and respectively recording the values as Upss(k)、Uref(k)、Ut(k)、Uf(k) And if(k) Storing the sampled data locally, and sampling the data Upss(k)、Uref(k)、Ut(k)、Uf(k) And if(k) And carrying out checking calculation on the model.
The step B comprises the following steps:
step B1: discretizing an S domain transfer function of a unit excitation model into a Z domain transfer function by adopting a backward difference method;
step B2: writing the relation between output and input in the time domain according to the discretized Z-domain transfer function;
step B3: calculating to obtain a calculated value of the excitation voltage according to the relation between output and input in the time domain and the sampling data stored in the local, and recording the calculated value as Uf_c。
The step C comprises the following steps: comparing the calculated value U of the excitation voltage in step B3f_cAnd the size of the excitation voltage sampling value in the step A.
In the step B1: k of ST1A model and ST1A model recommended by IEEE Std421.5-2005F、TFThe value is 0, and the specific algorithm formula of AVR model verification is as follows:
Y1(k)＝Uref(k)+Upss(k)-Ut(k)
Y5(k)＝Y4(k)-(if(k)-ILR)·KLR
wherein Y is1，Y2……Y6The initial values are all 0 for intermediate variables used for calculation; u shapepss、Ut、Uref、ifSetting reference values and exciting currents for the PSS output value, the terminal voltage and the terminal voltage which are sampled; t is the sampling period of the sampled data.
The step D comprises the following steps: when the difference value is smaller than the set threshold value, the excitation model of the unit is considered to operate correctly, and the display is normal; and when the difference value is larger than the set threshold value, the excitation model of the unit is considered to be abnormal in operation, and an alarm is given.
The online verification method for the unit excitation model applied to the network source platform can effectively check the output accuracy of the unit excitation model, give an alarm to the unit with the wrong excitation model output in time, remind operators to check in time and eliminate potential safety hazards.
The invention has the beneficial effects that: the online verification method for the unit excitation model applied to the network source platform can check whether the output of the unit excitation model is correct or not in real time by capturing the change of the unit terminal voltage under a full-automatic mode on the basis of the network source platform, and give an alarm to a unit with incorrect output of the excitation model, so that the correct operation of all unit excitation models accessed to the network source platform can be ensured.
Drawings
FIG. 1 is a flow chart of an online checking method of the AVR model of the unit in the invention.
Fig. 2 is a block diagram of the S-domain transfer function of the excitation model commonly used by the unit required by the calculation in step B1 of the present invention, i.e., the ST1A model recommended by IEEE std 421.5-2005.
The specific implementation mode is as follows:
the invention will be further described with reference to the accompanying drawings.
As shown in fig. 1, the online checking method of the unit AVR model applied to the network source platform of the present invention includes the following steps:
step A: sampling an excitation voltage, an excitation current, an excitation voltage given value, a generator terminal voltage and a PSS output value (PSS is a power system stabilizer);
and B: calculating excitation voltage on a network source platform in real time;
and C: comparing the calculated value of the excitation voltage with a real-time sampling value;
step D: and judging whether the error between the calculated value of the excitation voltage and the sampling value meets the requirement or not, and alarming when the error does not meet the requirement.
The step A comprises the following steps:
in daily operation, the PSS of the unit is output at a slower data sampling rate,Sampling given value of excitation voltage, terminal voltage, excitation voltage and excitation current, and recording the sampling data as Upss(m)、Uref(m)、Ut(m)、Uf(m) and if(m) storing the sampled data locally, and storing the sampled data Upss(m)、Uref(m)、Ut(m)、Uf(m) and if(m) carrying out checking calculation on the model;
when the terminal voltage U is detectedt(m) when the change exceeds the set threshold, real-time sampling PSS output, excitation voltage set value, machine end voltage, excitation voltage and excitation current of the unit at a faster sampling rate, and respectively recording the values as Upss(k)、Uref(k)、Ut(k)、Uf(k) And if(k) Storing the sampled data locally, and sampling the data Upss(k)、Uref(k)、Ut(k)、Uf(k) And if(k) And carrying out checking calculation on the model.
The step B comprises the following steps:
step B1: discretizing an S domain transfer function of a unit excitation model into a Z domain transfer function by adopting a backward difference method;
step B2: writing the relation between output and input in the time domain according to the discretized Z-domain transfer function;
step B3: calculating to obtain a calculated value of the excitation voltage according to the relation between output and input in the time domain and the sampling data stored in the local, and recording the calculated value as Uf_c。
FIG. 2 shows the ST1A model recommended by IEEE Std421.5-2005, most of the current units are self-shunt excitation systems, and the K of the ST1A model in the self-shunt excitation systemF、TFTaking the value as 0, for example, the specific algorithm formula of the AVR model verification is as follows:
Y1(k)＝Uref(k)+Upss(k)-Ut(k)-----------------------------------------(2)
Y5(k)＝Y4(k)-(if(k)-ILR)·KLR---------------------------------------(6)
wherein Y is1，Y2……Y6The initial values are all 0 for intermediate variables used for calculation; u shapepss、Ut、Uref、ifSetting reference values and exciting currents for the PSS output value, the terminal voltage and the terminal voltage which are sampled; t is the sampling period of the sampled data.
The step C comprises the following steps: comparing the calculated value U of the excitation voltage in step B3f_cAnd the size of the excitation voltage sampling value in the step A. Specifically, when the motor is operated at a normal time, the calculated value U of the excitation voltage in the step B3 is comparedf_cAnd the excitation voltage sampling value U in the step Af(m) when the terminal voltage U is detectedt(m) if the change exceeds a predetermined threshold, the value U is compared in step B3f_cAnd in step A, the sampling value U of the excitation voltagef(k) The size of (2).
The step D comprises the following steps: when U is turnedf_cAnd UfWhen the difference value is smaller than the set threshold value, the excitation model of the unit is considered to operate correctly, and the display is normal; otherwise, the excitation model of the unit is considered to be abnormal in operation, and an alarm is given.
In summary, the online checking method of the unit AVR model applied to the network source platform of the invention can realize online checking of the excitation model of the unit on the network source platform by establishing the steps of the reactive power of the unit, the PSS output value, the terminal voltage given reference value, the sampling of the excitation current, the condition judgment of starting the model checking calculation, the starting of calculating the value of the excitation voltage, comparing the calculated value of the excitation voltage with the sampled value, and judging whether the error of the sampled value and the calculated value of the excitation voltage is smaller than the set threshold value, so as to find out the unit with incorrect excitation model output in time and eliminate the potential safety hazard.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are given by way of illustration of the principles of the present invention, and that various changes and modifications may be made without departing from the spirit and scope of the invention as defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (3)
1. An online checking method of a unit AVR model applied to a network source platform is characterized by comprising the following steps:
step A: sampling an excitation voltage, an excitation current, an excitation voltage given value, a terminal voltage and a PSS output value;
and B: calculating excitation voltage on a network source platform in real time;
and C: comparing the calculated value of the excitation voltage with a real-time sampling value;
step D: judging whether the error between the calculated value of the excitation voltage and the sampling value meets the requirement or not, and alarming when the error does not meet the requirement;
the step A comprises the following steps: in daily operation, PSS output, given value of excitation voltage, machine end voltage, excitation voltage and excitation current of the unit are sampled at a slower data sampling rate, and sampling data are recorded as Upss(m)、Uref(m)、Ut(m)、Uf(m) and if(m) storing the sampled data locally, samplingData Upss(m)、Uref(m)、Ut(m)、Uf(m) and if(m) carrying out checking calculation on the model;
when the terminal voltage U is detectedt(m) when the change exceeds the set threshold, real-time sampling PSS output, excitation voltage set value, machine end voltage, excitation voltage and excitation current of the unit at a faster sampling rate, and respectively recording the values as Upss(k)、Uref(k)、Ut(k)、Uf(k) And if(k) Storing the sampled data locally, and sampling the data Upss(k)、Uref(k)、Ut(k)、Uf(k) And if(k) Carrying out checking calculation on the model;
the step B comprises the following steps:
step B1: discretizing an S domain transfer function of a unit excitation model into a Z domain transfer function by adopting a backward difference method;
step B2: writing the relation between output and input in the time domain according to the discretized Z-domain transfer function;
step B3: calculating to obtain a calculated value of the excitation voltage according to the relation between output and input in the time domain and the sampling data stored in the local, and recording the calculated value as Uf_c；
In the step B1:
k of ST1A model and ST1A model recommended by IEEE Std421.5-2005F、TFThe value is 0, and the specific algorithm formula of AVR model verification is as follows:
Y1(k)＝Uref(k)+Upss(k)-Ut(k)
Y5(k)＝Y4(k)-(if(k)-ILR)·KLR
wherein Y is1，Y2……Y6The initial values are all 0 for intermediate variables used for calculation; u shapepss、Ut、Uref、ifSetting reference values and exciting currents for the PSS output value, the terminal voltage and the terminal voltage which are sampled; t is the sampling period of the sampled data.
2. The method for on-line checking of the unit AVR model applied to the network source platform as claimed in claim 1, wherein the step C comprises:
comparing the calculated value U of the excitation voltage in step B3f_cAnd the size of the excitation voltage sampling value in the step A.
3. The method for on-line checking of the unit AVR model applied to the network source platform according to claim 1, wherein the step D comprises:
when the difference value is smaller than the set threshold value, the excitation model of the unit is considered to operate correctly, and the display is normal; and when the difference value is larger than the set threshold value, the excitation model of the unit is considered to be abnormal in operation, and an alarm is given.
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| CN112748667B (en) * | 2020-12-22 | 2022-09-23 | 国网山东省电力公司电力科学研究院 | Method for on-line checking model parameters of automatic voltage regulator by using terminal voltage response curve |
| CN112736935B (en) * | 2020-12-29 | 2022-09-16 | 国网山东省电力公司电力科学研究院 | Method for online checking model parameters of power system stabilizer by using PSS compensation angle |
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