电力系统自动化2016，Vol.40Issue(7)：49-53,5.DOI:10.7500/AEPS20150529015
基于集合论估计的电网状态辨识(三)基于优化模型的求解方法
Power System State Identification Based on Set Theory Estimation Part Three Solving Method Based on Optimization Model
摘要
Abstract
To solve the problem of limits on variables,the most intuitive way is to build an optimization model of which the obj ective function is the variables to be solved and the feasible region is the constraints.By solving maximin problems,the upper limits and lower limits on these variables can be achieved.The advantage of the method based on the optimization model is that it can take all the constraints into consideration.Thus,the results are less conservative or even not conservative at all. Firstly,the optimization model to solve the limits of state variables and measurement variables is introduced briefly.However, as the optimization model is a non-convex model,for non-convex models,the global optimal solution cannot be got.To deal with this problem, a conic optimization model which is used to solve the limits of the measurement variables is then established.The numerical example shows that by solving the conic optimization model not only is the credibility of the results ensured,but also the solving efficiency is improved.关键词
状态估计/集合论估计/非凸优化模型/锥优化模型Key words
state estimation/set theory estimation/non-convex optimization model/conic optimization model引用本文复制引用
王彬,王治华,董树锋,周宁慧,何光宇..基于集合论估计的电网状态辨识(三)基于优化模型的求解方法[J].电力系统自动化,2016,40(7):49-53,5.基金项目
This work is supported by National Natural Science Foundation of China(No.51207136). 国家自然科学基金资助项目(51207136). （No.51207136）
