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.
Algorithm of state estimation is the core of power system state estimation.Many algorithms have been proposed with different advantages.Fuzzy mathematics theory is introduced to evaluate state estimation.Fuzzy synthetic evaluation model is built for state estimation,which will be used to evaluate and compare objectively those algorithms.And then the best algorithm of state estimation will be found for a specific power system.In different power systems,the proposed evaluation system is used to evaluate some common algorithms of state estimation and found the best one.The calculation results show that the evaluation system is correct and can quantify the qualitative-analysis of algorithm evaluation.It can give effective reference to choose algorithm for actual power system.
出处
《郑州大学学报（工学版）》
CAS
北大核心
2011年第3期85-89,共5页
Journal of Zhengzhou University（Engineering Science）
关键词
电力系统
状态估计
算法评价
模糊综合评价
power system
state estimation
algorithm evaluation
fuzzy synthetic evaluation
