[1]刘宪林,杨建,王明东..励磁控制系统灰色预测PID控制仿真研究[J].郑州大学学报(工学版),2006,27(02):70-72.[doi:10.3969/j.issn.1671-6833.2006.02.017]
 LIU Xianlin,Yang Jian,Wang Mingdong.Simulation study of grey prediction PID control of excitation control system[J].Journal of Zhengzhou University (Engineering Science),2006,27(02):70-72.[doi:10.3969/j.issn.1671-6833.2006.02.017]
点击复制

励磁控制系统灰色预测PID控制仿真研究()
分享到:

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
27
期数:
2006年02期
页码:
70-72
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:

Simulation study of grey prediction PID control of excitation control system
作者:
刘宪林杨建王明东.
郑州大学电气工程学院,河南,郑州,450002, 郑州大学电气工程学院,河南,郑州,450002;哈尔滨工业大学电气工程系,黑龙江,哈尔滨,150001
Author(s):
LIU Xianlin; Yang Jian; Wang Mingdong
关键词:
电力系统 励磁控制 灰色预测 PID控制
Keywords:
DOI:
10.3969/j.issn.1671-6833.2006.02.017
文献标志码:
A
摘要:
基于MATLAB对同步发电机灰色预测PID励磁控制进行仿真研究.仿真中同步发电机采用派克模型,保证了灰色预测原始数据的非负性,简化了灰色预测算法,并对稳态工况下灰色预测的处理以及原始数据采样周期等问题进行了探讨,解决了灰色预测PID控制在稳态情况下预测失控的问题.仿真结果表明:在不同工作点下,同步发电机灰色预测PID励磁控制与常规PID控制相比较,灰色预测PID励磁控制的超调量和调节时间都明显减小,控制效果优于常规PID控制.
Abstract:
Based on MATLAB, the gray prediction PID excitation control of synchronous generator is simulated and studied. In the simulation, the Parker model is adopted for synchronous generator, which ensures the non-negativity of the gray prediction original data, simplifies the gray prediction algorithm, discusses the processing of gray prediction under steady-state working conditions and the sampling period of raw data, and solves the problem of gray prediction PID control predicting out of control in steady-state conditions. The simulation results show that compared with the conventional PID control, the overshoot and adjustment time of the gray prediction PID excitation control of the synchronous generator are significantly reduced compared with the conventional PID control under different working points, and the control effect is better than that of conventional PID control.

相似文献/References:

[1]左士伟,杨胡萍,张扬,等.基于改进遗传算法的电力系统无功优化[J].郑州大学学报(工学版),2015,36(06):66.[doi:10.3969/j. issn.1671 -6833.2015.06.013]
 YANG Huping,Ll Weiren,ZUO Shiwei,et al.Reactive Power Optimization by Improved Genetic Algorithm Method[J].Journal of Zhengzhou University (Engineering Science),2015,36(02):66.[doi:10.3969/j. issn.1671 -6833.2015.06.013]
[2]沈靖蕾,徐敏,闫震山.电网规划的多层面协调性的综合评估方法研究[J].郑州大学学报(工学版),2016,37(01):24.[doi:10.3969/j.issn.1671-6833.201410032]
 Xu Min,Shen Jinglei,Yan Zhenshan.The Analysis of Comprehensive Assessment Method on Multi-sectionCoordination of Power Network Planning[J].Journal of Zhengzhou University (Engineering Science),2016,37(02):24.[doi:10.3969/j.issn.1671-6833.201410032]
[3]刘宪林,矫龙飞,程子霞.PSASP动态等值功能的应用与分析[J].郑州大学学报(工学版),2014,35(01):10.[doi:10.3969/j.issn.1671 -6833.2014.01.003]
 LIU Xianlin,JIAO Longfei,CHENG Zixia.The Application and Analysis of PSASP Dynamical Equivalence[J].Journal of Zhengzhou University (Engineering Science),2014,35(02):10.[doi:10.3969/j.issn.1671 -6833.2014.01.003]
[4]朱晓东,王颖,杨之乐,等.启发式多目标优化算法在能源和电力系统中的典型应用综述[J].郑州大学学报(工学版),2019,40(05):1.[doi:10.13705/j.issn.1671-6833.2019.05.010]
 Zhu Xiaodong,Wang Ying Young Joy Guo Yuanjun.A review of typical applications of heuristic multi-objective optimization algorithms in energy and power systems[J].Journal of Zhengzhou University (Engineering Science),2019,40(02):1.[doi:10.13705/j.issn.1671-6833.2019.05.010]
[5]朱俊丞,杨之乐,郭媛君,等.深度学习在电力负荷预测中的应用综述[J].郑州大学学报(工学版),2019,40(05):12.[doi:10.13705/j.issn.1671-6833.2019.05.005]
 Zhu Juncheng,Young Joy,Guo Yuanjun,et al.A review of the application of deep learning in power load forecasting[J].Journal of Zhengzhou University (Engineering Science),2019,40(02):12.[doi:10.13705/j.issn.1671-6833.2019.05.005]
[6]马民,秦佳,杨东升,等.人工智能在电力系统中的应用综述[J].郑州大学学报(工学版),2019,40(05):22.[doi:10.13705/j.issn.1671-6833.2019.05.012]
 Ma Min,Qin Jia,Yang Dongsheng,et al.A review of the application of artificial intelligence in power system[J].Journal of Zhengzhou University (Engineering Science),2019,40(02):22.[doi:10.13705/j.issn.1671-6833.2019.05.012]
[7]王克文,蒋德珑,孙栗..电力系统状态估计算法的模糊综合评价与分析[J].郑州大学学报(工学版),2011,32(03):85.[doi:10.3969/j.issn.1671-6833.2011.03.021]
[8]刘宪林,王鑫..单机-SVC-无穷大系统机电模式阻尼特性分析[J].郑州大学学报(工学版),2007,28(03):87.[doi:10.3969/j.issn.1671-6833.2007.03.023]
 LIU Xianlin,Wang Xin.Analysis of electromechanical mode damping characteristics of stand-alone - SVC - infinity system[J].Journal of Zhengzhou University (Engineering Science),2007,28(02):87.[doi:10.3969/j.issn.1671-6833.2007.03.023]
[9]高金峰,张晓..倍周期分岔和环面分岔对电力系统电压稳定性的影响[J].郑州大学学报(工学版),2005,26(02):27.[doi:10.3969/j.issn.1671-6833.2005.02.007]
 Gao Jinfeng,Zhang Xiao.The influence of period-double bifurcation and torus bifurcation on the voltage stability of power system[J].Journal of Zhengzhou University (Engineering Science),2005,26(02):27.[doi:10.3969/j.issn.1671-6833.2005.02.007]
[10]陈根永,王常飞..电力系统短期负荷预测系统的实现[J].郑州大学学报(工学版),2004,25(04):94.[doi:10.3969/j.issn.1671-6833.2004.04.024]
 CHEN Genyong,Wang Changfei.Implementation of short-term load forecasting system for power system[J].Journal of Zhengzhou University (Engineering Science),2004,25(02):94.[doi:10.3969/j.issn.1671-6833.2004.04.024]

更新日期/Last Update: 1900-01-01