Multivariable fitting-based parameter optimization modeling method for generator speed regulating system

A technology of speed regulation system and modeling method, which is applied in the direction of controlling generators, control systems, electrical components, etc., and can solve the problems of lack of theoretical calculation basis, failure to obtain optimal control parameters, and lack of primary frequency regulation performance indicators and quantitative control parameters relationship issues

Inactive Publication Date: 2016-04-13
STATE GRID GASU ELECTRIC POWER RES INST +3
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Problems solved by technology

The primary frequency modulation performance index is affected by the adjustment system parameters, but there is no quantitative relationship between the primary frequency modulation performance index and the co

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  • Multivariable fitting-based parameter optimization modeling method for generator speed regulating system
  • Multivariable fitting-based parameter optimization modeling method for generator speed regulating system
  • Multivariable fitting-based parameter optimization modeling method for generator speed regulating system

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[0049] The present invention will be further described in detail below in conjunction with the drawings. The parameter optimization modeling method of generator speed control system based on multivariable fitting proposed by the present invention is explained as follows:

[0050] The structure of a large-scale power transmission system in a certain area is such as figure 1 Shown. The ±800kV UHV DC supporting thermal power supply totals 6600MW, of which Shenhua Guoneng Power Plant 4×660MW, SDIC Power Plant, Guodian Power Plant and Ruihong Hami Power Plant are all 2×660MW. 10 thermal power units are connected to the Xinhahua 500kV AC substation through a 500kV line. The Xinhahua 500kV AC bus is connected to a ±800kV UHV DC rectifier side converter transformer, connected to a 750 / 500kV tie transformer, and 500kV is sent through the 750 / 500kV tie transformer The end grid is connected to the 750kV regional main grid. The operation mode of the system is the DC island operation mode,...

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Abstract

The invention discloses a multivariable fitting-based parameter optimization modeling method for a generator speed regulating system. The method comprises the following steps: firstly, by a multivariable fitting method, fitting the relationship between three performance indexes, namely percent overshoot, rise time and regulating time, of primary frequency modulation of a generator and four control parameters, namely unit regulation power, a hydraulic servo-motor time constant, a turbine steam time constant and a generator inertia time constant; with the obtained multivariable fitting formula of the primary frequency modulation as an equality constraint, control parameter value ranges and other conditions as inequality constraints and the optimal primary frequency modulation performance of the fine speed regulating system as a final target, searching the speed regulating system parameter with the optimal primary frequency modulation performance by a multi-target and multi-constraint nonlinear optimization method; and building an optimized generator speed regulating system model.

Description

technical field [0001] The invention belongs to the technical field of power system analysis and control, and in particular relates to a parameter optimization modeling method of a generator speed regulation system based on multivariable fitting. Background technique [0002] The focus of primary frequency modulation performance research is on the transient performance index of the control system, which should meet the requirements of the minimum overshoot, the fastest rise time and adjustment time, and the stability, accuracy and speed of the control system. The primary frequency modulation performance index is affected by the regulation system parameters, but there is no quantitative relationship between the primary frequency modulation performance index and the control parameters. The selection of traditional control system parameters is usually based on experience and lacks specific theoretical calculation basis, so the optimal control parameters are often not obtained. ...

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Application Information

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IPC IPC(8): H02J3/00H02P9/00H02P101/20
CPCH02J3/00H02J2203/20H02P9/00
Inventor 智勇秦睿梁福波拜润卿郑伟陈仕彬肖仕武刘军
Owner STATE GRID GASU ELECTRIC POWER RES INST
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