Automation of Electric Power SystemsVol. 39, Issue 15, Pages: 143-148(2015)
作者机构:
清华大学电机工程与应用电子技术系,北京市,100084
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DOI:
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Published:2015
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YU Songtai. [J]. Automation of electric power systems, 2015, 39(15): 143-148.
DOI:
YU Songtai. [J]. Automation of electric power systems, 2015, 39(15): 143-148.DOI:
电力系统综合负荷模型简化方案及辨识参数集选取
摘要
负荷是电力系统的重要组成部分
建立合理的负荷模型对电力系统安全稳定分析和实时监控具有重要意义。目前综合负荷模型被广泛采用
但完整描述其动态特性需要十余个参数
在线辨识全部参数几乎不可能。文中从综合负荷模型状态方程入手
在保证暂态响应近似相等的准则下提出一种综合负荷模型简化方法
并在此基础上分析不同的参数对负荷动态特性的影响以及参数之间的相关关系
最终选取了感应电动机比例、电动机暂态电抗、电动机稳态滑差以及电动机转子时间常数组成辨识参数集
并通过仿真验证了相关结论。
Abstract
Load is an important part of the power system
a rational model of load is of significance to security and stability analysis of power systems. Currently
the most widely used is the model for composite load. However
more than 10 dynamic parameters of a composite load model are needed for its complete description
which makes it difficult to identify all of them for online analysis and use. By proceeding from the state equation of the composite load model while ensuring the criterion for transient responses to be approximately equal
a method for composite load model simplification is proposed. On this basis
an analysis is made on the influences of different parameters on the load dynamic characteristics as well as the correlation between parameters. Finally selecting the percentage of motor load
the transient reactance of motor
the initial slip of motor and the rotor inertia constant of motor as the parameter set to be identified with the conclusions proved by simulation results.
Time-Frequency Domain Dissipation Energy Flow Method for Forced Oscillation Source Location in Power System
Frequency Response Estimation Method Considering Low Voltage Ride-through Recovery Difference of Wind Farms Under Large Disturbance
Related Author
YAO Zenghui
DONG Wenkai
HAN Zijiao
JIA Qi
XIE Xiaorong
ZHANG Tian
YAO Jun
YANG Dong
Related Institution
State Grid Liaoning Electric Power Co., Ltd.
State Key Laboratory of Power Transmission Equipment Technology (Chongqing University)
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
NARI Nanjing Control Systems Co., Ltd.
Southwest Branch of State Grid Corporation of China