分散协调控制在风火混合电力系统中仿真研究

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (3): 609-619.

分散协调控制在风火混合电力系统中仿真研究

牛玉广¹, 李晓明², 王世林², 林忠伟^1,2

1.华北电力大学新能源电力系统国家重点实验室, 北京 102206;
2.华北电力大学控制与计算机工程学院, 北京 102206

收稿日期:2014-03-12 修回日期:2014-07-17 出版日期:2015-03-08 发布日期:2020-08-20
作者简介:牛玉广(1964-),男,河南,博士,教授,博导,研究方向为新能源电力系统建模与控制,大型火电机组优化控制与故障诊断;李晓明(1982-),男,内蒙古,博士生,工程师,研究方向为多元发电过程分散协调控制。
基金资助:
国家自然科学基金(61203043);国家重点基础研究发展计划“973计划”(2012CB215203)

Simulation Study of Multiple Model Decentralized-coordinated Predictive Control for Hybrid Wind-thermal Power System

Niu Yuguang¹, Li Xiaoming², Wang Shilin², Lin Zhongwei^1,2

1. State Key Laboratory for Alternate Electric Power System with Renewable Energy SourceNorth China Electric Power University, Beijing 102206, China;
2. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;

Received:2014-03-12 Revised:2014-07-17 Online:2015-03-08 Published:2020-08-20

摘要/Abstract

摘要： 大规模风电接入电网对电力系统的运行和控制提出了更高的要求。提出了一种基于多模型预测控制的分散协调控制策略并应用于风火混合电力系统的仿真研究。该方法融合多模型预测控制和关联测量法的特点。为提高抗风机侧抗随机扰动的能力,一种增广相关测量法被用于混合电力系统的建模。基于贝叶斯概率的迭代方法用于计算各模型切换权值。一个简化的、具有代表性的风火混合电力系统模型用来验证该方法的控制效果,时域仿真和主导特征值分析说明了该方法的有效性。

关键词: 风火混合电力系统, 多模型预测控制, 分散协调控制, 暂态稳定性, 系统阻尼

Abstract: The large-scale integration of wind power presents a higher requirement of power system operation and control. A multiple model predictive control based decentralized coordinated control, which combined the characteristics of multiple model predictive control (MPC) and interaction measurement modeling, was proposed and applied to the simulation study of a hybrid wind-thermal power system. In order to enhance the resistance against the stochastic disturbance from wind turbine, an augment correlative measured method was employed to hybrid power system modeling. The Bayesian probability based iteration method was employed to calculate the model weighting. A simple, generic hybrid power system model was used to demonstrate system performance contributions. Simulations of time response and dominated eigenvalue analysis illustrate the effectiveness of the proposed method.

Key words: hybrid wind-thermal power system, multiple model predictive control, decentralized coordinated control, transient stability, system damping

中图分类号:

TP13

牛玉广, 李晓明, 王世林, 林忠伟. 分散协调控制在风火混合电力系统中仿真研究[J]. 系统仿真学报, 2015, 27(3): 609-619.

Niu Yuguang, Li Xiaoming, Wang Shilin, Lin Zhongwei. Simulation Study of Multiple Model Decentralized-coordinated Predictive Control for Hybrid Wind-thermal Power System[J]. Journal of System Simulation, 2015, 27(3): 609-619.

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