CN-122020871-A - Synchronous generator active support capacity evaluation model correction method, system and computer equipment

CN122020871ACN 122020871 ACN122020871 ACN 122020871ACN-122020871-A

Abstract

The application belongs to the technical field of power systems, and discloses a correction method of an active support capacity evaluation model of a synchronous generator, which comprises the following steps of establishing a thermal power unit fuel-boiler system model; establishing a mathematical analysis model of the thermal power unit fuel-boiler system, and identifying parameters of the mathematical analysis model to ensure that the sum of squares of residual errors between the output main steam pressure predicted value and the measured value is minimum, and outputting optimal parameters meeting the conditions. The method is based on the power grid regulation platform, unit operation data is obtained through an online remote test, and the model is corrected by adopting an identification method combining mechanism modeling and system identification, so that the accuracy of the model is improved.

Inventors

YU QINGBIN
SHI SHUO
WANG YUQI
Qu Jianzhang
YU CHUNHAO
LIU ENREN
GAO SONG
LI JUN
PANG XIANGKUN
CHEN KANG
LU KUAN
Chen kuo
XIN GANG

Assignees

国网山东省电力公司电力科学研究院
国家电网有限公司

Dates

Publication Date: 20260512
Application Date: 20251210

Claims (16)

1. The correction method of the active support capacity evaluation model of the synchronous generator is characterized by comprising the following steps of: establishing a thermal power unit fuel-boiler system model; Performing an online remote experiment based on a power grid regulation platform to obtain a unit operation actual measurement value; and establishing a mathematical analysis model of the thermal power unit fuel-boiler system, identifying parameters of the mathematical analysis model, so that the sum of squares of residual errors between the output main steam pressure predicted value and the actual measured value is minimum, and outputting optimal parameters meeting the conditions.
2. A method for modifying an active support capacity assessment model of a synchronous generator according to claim 1, In the step of establishing the thermal power generating unit fuel-boiler system model, the fuel system comprises a coal feeder and a coal mill, and the dynamic process of the coal feeder is expressed as follows: r B '＝u B e -τs (1) Wherein u B is the coal feeding amount of the coal feeder, r B ' is the coal feeding amount of the coal mill, and tau is the delay time.
3. A method for correcting an active support capacity assessment model of a synchronous generator according to claim 2, The coal mill is expressed as: The dynamic process of the coal mill pulverizing link is expressed as follows: wherein r B is the coal output of the coal mill, M is the coal storage of the coal mill, and the coal output of the coal mill is obtained according to the characteristics of a mill and a coarse and fine powder separator: Wherein K is the output coefficient of the coal mill, f w 、f H 、f R is the coal moisture correction coefficient, the grindability correction coefficient and the fineness correction coefficient respectively, K f is the powder making inertia time constant, and the dynamic equation of the comprehensive (2) and (3) available inertia links is as follows:
4. A method for modifying an active support capacity assessment model of a synchronous generator according to claim 3, In the step of establishing a thermal power generating unit fuel-boiler system model, modeling of a boiler system comprises the following steps: The extracted and supplemented energy can be expressed as: Q w ＝K 1 r B (5) Q g ＝K 3 p t u T (6) Wherein Q w is the effective heat absorbed by the boiler, K 1 is the fuel gain coefficient, Q g is the effective heat output by the boiler, K 3 is the steam turbine gain coefficient, p 1 is the regulating stage pressure, p t is the main steam pressure, and u T is the opening degree of a regulating gate; the drum pressure is obtained according to the following formula: wherein C b is the heat storage coefficient of the boiler, and p d is the drum pressure; Fitting according to a load-pressure curve of the unit to obtain a superheater differential pressure equation as follows p t ＝p d -K 2 (K 1 r B ) 1.3 (9) Wherein K 2 is the resistance coefficient of the superheater.
5. A method for modifying an active support capacity assessment model of a synchronous generator according to claim 4, The mathematical analysis model of the thermal power generating unit fuel-boiler system is expressed as follows: Where τ is the delay time, K f is the powder production inertia time constant, C b is the boiler heat storage coefficient, K 1 is the fuel gain coefficient, K 2 is the superheater resistance coefficient, and K 3 is the turbine gain coefficient.
6. A method for modifying an active support capacity assessment model of a synchronous generator according to claim 5, The step of identifying the parameters of the digital analysis model comprises the following steps: Defining a parameter vector theta to be identified: θ * ＝[K f ,C b ,K 1 ,K 2 ,K 3 ] T (11) Boundary conditions of each parameter are: the parameters of the mathematical analysis model are identified based on a nonlinear least square algorithm, and the method is as follows: Wherein the residual vector r (θ) is defined as:
7. the method for modifying an active support capacity assessment model of a synchronous generator according to claim 6, wherein the step of identifying parameters of the mathematical analysis model further comprises the step of introducing a trust zone: at the kth iteration, the mathematical expression solved by each step of the algorithm is: wherein r (theta k ) is the current residual vector; The method comprises the steps of obtaining a jacobian matrix of the residual error versus the parameter, wherein p is the parameter searching step length of the iteration, delta k is the radius of the current trust domain, and l and u are the upper and lower bounds set in the parameter boundary conditions.
8. A method for modifying an active support capacity assessment model of a synchronous generator according to claim 7, The step of introducing a trusted region further comprises: the termination condition of the iteration is set as:
9. A synchronous generator active support capability assessment model modification system, comprising: a thermal power unit fuel-boiler system model and a mathematical analysis model of a thermal power unit fuel-boiler system; The measured value acquisition module is used for carrying out on-line remote experiments based on the power grid regulation and control platform to acquire a unit operation measured value; and the identification module is used for identifying the parameters of the data analysis model, so that the sum of squares of residual errors between the output main steam pressure predicted value and the actual measured value is minimum, and the optimal parameters meeting the conditions are output.
10. A synchronous generator active support capacity assessment model modification system as defined in claim 9, In the thermal power generating unit fuel-boiler system model, a fuel system comprises a coal feeder and a coal mill, and the dynamic process of the coal feeder is expressed as follows: r B '＝u B e -τs (1) Wherein u B is the coal feeding amount of the coal feeder, r B ' is the coal feeding amount of the coal mill, and tau is the delay time.
11. A synchronous generator active support capacity assessment model modification system as defined in claim 10, The coal mill is expressed as: The dynamic process of the coal mill pulverizing link is expressed as follows: wherein r B is the coal output of the coal mill, M is the coal storage of the coal mill, and the coal output of the coal mill is obtained according to the characteristics of a mill and a coarse and fine powder separator: Wherein K is the output coefficient of the coal mill, f w 、f H 、f R is the coal moisture correction coefficient, the grindability correction coefficient and the fineness correction coefficient respectively, K f is the powder making inertia time constant, and the dynamic equation of the comprehensive (2) and (3) available inertia links is as follows:
12. A synchronous generator active support capacity assessment model modification system as defined in claim 11, In the thermal power generating unit fuel-boiler system model, modeling of a boiler system comprises the following steps: The extracted and supplemented energy can be expressed as: Q w ＝K 1 r B (5) Q g ＝K 3 p t u T (6) Wherein Q w is the effective heat absorbed by the boiler, K 1 is the fuel gain coefficient, Q g is the effective heat output by the boiler, K 3 is the steam turbine gain coefficient, p 1 is the regulating stage pressure, p t is the main steam pressure, and u T is the opening degree of a regulating gate; the drum pressure is obtained according to the following formula: wherein C b is the heat storage coefficient of the boiler, and p d is the drum pressure; Fitting according to a load-pressure curve of the unit to obtain a superheater differential pressure equation as follows p t ＝p d -K 2 (K 1 r B ) 1.3 (9) Wherein K 2 is the resistance coefficient of the superheater.
13. A synchronous generator active support capacity assessment model modification system as defined in claim 12, wherein, The mathematical analysis model of the thermal power generating unit fuel-boiler system is expressed as follows: Where τ is the delay time, K f is the powder production inertia time constant, C b is the boiler heat storage coefficient, K 1 is the fuel gain coefficient, K 2 is the superheater resistance coefficient, and K 3 is the turbine gain coefficient.
14. A synchronous generator active support capacity assessment model modification system as defined in claim 13, The step of identifying the parameters of the data analysis model by the identification module comprises the following steps: Defining a parameter vector theta to be identified: θ * ＝[K f ,C b ,K 1 ,K 2 ,K 3 ] T (11) Boundary conditions of each parameter are: the parameters of the mathematical analysis model are identified based on a nonlinear least square algorithm, and the method is as follows: Wherein the residual vector r (θ) is defined as:
15. the synchronous generator active support capability assessment model correction system of claim 14, wherein the step of identifying parameters of the digital analytic model by the identification module further comprises the step of introducing a trust zone: at the kth iteration, the mathematical expression solved by each step of the algorithm is: wherein r (theta k ) is the current residual vector; The method comprises the steps of obtaining a jacobian matrix of the residual error versus the parameter, wherein p is the parameter searching step length of the iteration, delta k is the radius of the current trust domain, and l and u are the upper and lower bounds set in the parameter boundary conditions.
16. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 8 when the computer program is executed.

Description

Synchronous generator active support capacity evaluation model correction method, system and computer equipment Technical Field The invention relates to the technical field of power systems, in particular to a synchronous generator active supporting capability assessment model correction method, system and computer equipment based on online remote experimental data. Background The power supply running state in the novel power system has obvious time variability, and as the power supply running state, the load working condition and the like are changed, model parameters in the active support capacity evaluation model often change. However, in the existing active support capacity assessment model, a group of typical values are often selected for simulation, and the variation characteristics of the model parameters along with the operation conditions are rarely considered, so that the deviation between an assessment result and an actual value is large, and the active support capacity of the power supply in an actual operation state is difficult to accurately describe. Therefore, how to provide a system capable of accurately describing the active supporting capability of the power supply in the actual running state is a problem to be solved at present. Disclosure of Invention The embodiment of the invention provides a correction method, a correction system and a correction computer device for an active support capacity assessment model of a synchronous generator, which are used for solving the problem that in the prior art, the deviation between an assessment result and an actual value is larger because active support capacity assessment model parameters change along with operation conditions. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later. According to a first aspect of the embodiment of the invention, a synchronous generator active supporting capability assessment model correction method based on online remote experimental data is provided. In one embodiment, a method for correcting an active support capacity evaluation model of a synchronous generator includes the steps of: establishing a thermal power unit fuel-boiler system model; Performing an online remote experiment based on a power grid regulation platform to obtain a unit operation actual measurement value; and establishing a mathematical analysis model of the thermal power unit fuel-boiler system, identifying parameters of the mathematical analysis model, so that the sum of squares of residual errors between the output main steam pressure predicted value and the actual measured value is minimum, and outputting optimal parameters meeting the conditions. Optionally, in the step of building the thermal power generating unit fuel-boiler system model, the fuel system comprises a coal feeder and a coal mill, and the dynamic process of the coal feeder is expressed as: rB'＝uBe-τs (1) Wherein u B is the coal feeding amount of the coal feeder, r B' is the coal feeding amount of the coal mill, and tau is the delay time. Optionally, the coal mill is expressed as: The dynamic process of the coal mill pulverizing link is expressed as follows: wherein r B is the coal output of the coal mill, M is the coal storage of the coal mill, and the coal output of the coal mill is obtained according to the characteristics of a mill and a coarse and fine powder separator: Wherein K is the output coefficient of the coal mill, f w、fH、fR is the coal moisture correction coefficient, the grindability correction coefficient and the fineness correction coefficient respectively, K f is the powder making inertia time constant, and the dynamic equation of the comprehensive (2) and (3) available inertia links is as follows: optionally, in the step of establishing a thermal power generating unit fuel-boiler system model, modeling the boiler system includes: The extracted and supplemented energy can be expressed as: Qw＝K1rB (5) Qg＝K3ptuT (6) Wherein Q w is the effective heat absorbed by the boiler, K 1 is the fuel gain coefficient, Q g is the effective heat output by the boiler, K 3 is the steam turbine gain coefficient, p 1 is the regulating stage pressure, p t is the main steam pressure, and u T is the opening degree of a regulating gate; the drum pressure is obtained according to the following formula: wherein C b is the heat storage coefficient of the boiler, and p d is the drum pressure; Fitting according to a load-pressure curve of the unit to obtain a superheater differential pressure equation as follows pt＝pd-K2(K1rB)1.3 (9) Wherein K 2 is the resistance coefficient of the superheater. Optionally, the mathematical analytic