摘要
状态估计作为电力系统分析与控制的基础,是能量管理系统的重要组成部分。文中通过对已有状态估计方法(包括最小二乘法、经典抗差估计方法以及近年来涌现的新的估计方法)的特点的研究,分析了现有研究存在的主要问题,并指出引入集合论估计可有效解决该问题,以提升估计结果可信性。基于集合论估计的基本思想,研究了基于集合论估计理论的电网状态辨识的模型。该模型可明确系统真实状态和辨识结果的关系,理论上保证了结果的可信性。文中对模型中的属性集合进行了数学描述,并提出了基于区间的解集描述,保证了模型的可求解性和可应用性。
As the basis of analysis and control of the power system,state estimation is an important component part of the energy management system.According to the state estimation methods available（including weighted least squares estimation,classical robust estimation and new estimation methods that have sprung up in recent years）,this paper analyzes the main problems in current researches.In addition,it is pointed out that the introduction of set theory estimation can not only solve these problems effectively,but improve the credibility of estimation results significantly as well.Then,based on the main idea of set theory estimation,apower system state identifying model is studied.This model can define the relationship between the true state of system and the identification results,ensuring the credibility of the results.Property sets of this model are described mathematically and solution sets based on intervals are proposed,guaranteeing the solvability and applicability of this model.
出处
《电力系统自动化》
EI
CSCD
北大核心
2016年第5期25-31,共7页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51207136)~~
关键词
状态估计
集合论估计
可信性
电力系统
state estimation
set theory estimation
credibility
power system
