A method for simplification and model parameter identification of comprehensive load model of power system

A comprehensive load model, power system technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as difficulty in online load parameter identification

Active Publication Date: 2017-08-11
TSINGHUA UNIV
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Problems solved by technology

Since the online parameter identification method of the third-order nonlinear model is not yet mature, it is difficult to realize the online load parameter identification

Method used

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  • A method for simplification and model parameter identification of comprehensive load model of power system
  • A method for simplification and model parameter identification of comprehensive load model of power system
  • A method for simplification and model parameter identification of comprehensive load model of power system

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Embodiment Construction

[0044] The method for simplifying the comprehensive load model of the power system and identifying the model parameters proposed by the present invention includes the following steps:

[0045] (1) When the operating condition is steady, the active power and reactive power in the comprehensive load model of the power system are respectively P com and Q com , the active power and reactive power of the induction motor part are P com_m0 and Q com_m0 , the static part consists of resistor R com and reactance X com Composition, the stator reactance, rotor reactance and excitation reactance of the induction motor part of the comprehensive load model are respectively X S , X R and x M ; The active power and reactive power of the power system comprehensive load simplified model in steady state are P 0 and Q 0 , the active power and reactive power of the induction motor in the simplified model of the comprehensive load of the power system in the steady state of operation are P ...

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Abstract

The invention relates to a method for simplifying a comprehensive load model of a power system and identifying model parameters, and belongs to the technical field of power system load stability monitoring. This method deeply analyzes the internal relationship among the parameters of the induction motor, and on this basis, a simplified model of the integrated load of the power system is proposed by transforming the relationship between the input and output of the model. For the simplified model of the integrated load of the power system, this method presupposes several groups of possible steady-state operating states of the simplified model of the integrated load of the power system, and based on the state equation of the induction motor part in the simplified model of the integrated load of the power system, the parameters are calculated by the least square method. Identification, put forward corresponding indicators to reflect the identification accuracy and select a group with the highest accuracy among all preset steady-state conditions, and use its corresponding identification results as the final identification results. The method proposed in this method has strong generalization and feasibility, and can identify the parameters of the comprehensive load model of the power system more accurately and quickly.

Description

technical field [0001] The invention relates to a method for simplifying a comprehensive load model of a power system and identifying model parameters, and belongs to the technical field of power system load stability monitoring. Background technique [0002] Load is an important part of power system, and reasonable and accurate load modeling is an important basis for load stability analysis. Currently, load modeling usually uses an integrated load model. The comprehensive load is composed of static load and dynamic load. The static load adopts constant impedance, and the dynamic load uses induction motor. Existing studies generally use electromechanical transient models of induction motors, and use global search algorithms such as genetic algorithms and optimization particle swarm optimization algorithms, and some studies use algorithms such as Volterra series identification. However, the current identification method does not fully simplify the comprehensive load model, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 于松泰张树卿
Owner TSINGHUA UNIV
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