[1]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):85-89.[doi:10.3969/j.issn.1671-6833.2011.03.021]
点击复制

电力系统状态估计算法的模糊综合评价与分析()
分享到:

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

卷:
32
期数:
2011年03期
页码:
85-89
栏目:
出版日期:
2011-05-10

文章信息/Info

作者:
王克文蒋德珑孙栗.
郑州大学电气工程学院,河南郑州,450001, 郑州大学电气工程学院,河南郑州,450001, 郑州大学电气工程学院,河南郑州,450001
关键词:
电力系统 状态估计 算法评价 模糊综合评价
DOI:
10.3969/j.issn.1671-6833.2011.03.021
摘要:
状态估计算法是电力系统状态估计的核心部分,目前已经有许多模型,特点各异,且性能评价具有模糊特征.为此,提出将模糊数学理论引入状态估计算法评价中,针对算法构建模糊综合评价模型,来实现各种状态估计算法性能的客观评价和比较,并从中找出适合具体系统的最优算法.通过在不同系统下对几种常用状态估计算法进行评价分析选出最优算法,验证了该评价系统的正确性,实现了算法评价的定量化,为实际系统的算法选择提供有效参考.

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(03):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(03):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(03):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(03):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(03):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(03):22.[doi:10.13705/j.issn.1671-6833.2019.05.012]
[7]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(03):87.[doi:10.3969/j.issn.1671-6833.2007.03.023]
[8]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.[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(03):70.[doi:10.3969/j.issn.1671-6833.2006.02.017]
[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(03):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(03):94.[doi:10.3969/j.issn.1671-6833.2004.04.024]

更新日期/Last Update: 1900-01-01