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文章摘要
基于LLSE的配电网状态估计器及优化方法
State Estimator of Distribution Network Based on LLSE And Optimization Method
Received:October 06, 2017  Revised:October 06, 2017
DOI:
中文关键词: 状态估计  可再生能源发电  配电网  线性最小二乘法  
英文关键词: Three-phase state estimation  Renewable energy based generation  Distribution network  Linear least square method  
基金项目:
Author NameAffiliationE-mail
Tang Haiguo State Grid Hunan Electric Power Corporation Research Institute 562476027@qq.com 
LIU Haifeng State Grid Hunan Electric Power Corporation Research Institute lhfseawind@163.com 
Zhu Jiran State Grid Hunan Electric Power Corporation Research Institute 1540641364@qq.com 
Zhang Zhidan State Grid Hunan Electric Power Corporation Research Institute 544782268@qq.com 
Mao Tao* Wuhan Donghu University 550705014@qq.com 
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中文摘要:
      随机性分布式可再生能源发电接入配电网以及有限的测量装置给传统配电网的状态估计带来了困难,为此本文设计了一种基于线性最小二乘法的配电网三相状态估计器。首先基于三相电压降落计算公式,建立配电网电压估计模型,根据线性最小二乘法得到估计器表达式。分析了风电等接入配电网时对估计器性能的影响,给出了监测节点位置优化模型的决策变量、目标函数和约束条件。通过在IEEE 33节点配电网络中的仿真计算验证了本文设计估计器及优化方法的正确性和有效性。本文为随机性分布式电源接入的配电网状态估计提供了理论和实用方法
英文摘要:
      This paper presents a three-phase state estimator based on linear least square method for the distribution network to solve the problem which is brought by the distributed renewable energy with random output power accessing to distribution network and the limitation in the number of measuring devices. Firstly, the voltage estimation model of distribution network is established based on the three-phase voltage drop calculation, then the expression of the estimator is obtained according to the linear least squares method. The influence of the wind power accessing on the performance of estimator is analyzed. The optimal placement of a certain number of measuring device is established with the decision variables, objective function and constraints. The validity and effectiveness of the designed estimator and the optimization method are verified by the simulation carried out in a IEEE 33 nodes system. This paper provides a theoretical and practical method for distribution network state estimation with distributed energy accessing.
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