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基于分解协调算法的互联电力系统状态估计
引用本文:王永,郭志忠,彭茂君,肖勇.基于分解协调算法的互联电力系统状态估计[J].电网技术,2008,32(10):79-83.
作者姓名:王永  郭志忠  彭茂君  肖勇
作者单位:1. 哈尔滨工业大学,电气工程及自动化学院,黑龙江省,哈尔滨市,150001
2. 北京供电公司,北京市,西城区,100031
3. 肇庆供电局,广东省,肇庆市,526060
摘    要:提出了基于分解协调算法求解多区域互联系统的状态估计算法。互联系统计算中心根据虚拟节点两端子系统状态估计所得功率残差加权平均值计算各子系统虚拟节点注入功率的变化量,各子系统节点状态量通过注入功率和功率估计值对节点状态量的灵敏度矩阵修正子系统状态估计结果,得到互联系统的状态估计解。仿真计算结果说明,分布式状态估计算法计算准确、速度快,且在互联系统计算中心无法获得部分子系统数据的情况下,能够最大限度地准确计算出互联系统的部分可观测结果。

关 键 词:分解协调  多区域互联  灵敏度  状态估计(SE)  加权最小二乘(WLS)
文章编号:1000-3673(2008)10-0079-05
收稿时间:2007-08-22
修稿时间:2007年10月20

A New Decomposition and Coordination Algorithm for State Estimation in Interconnected Power System
WANG Yong,GUO Zhi-zhong,PENG Mao-jun,XIAO Yong.A New Decomposition and Coordination Algorithm for State Estimation in Interconnected Power System[J].Power System Technology,2008,32(10):79-83.
Authors:WANG Yong  GUO Zhi-zhong  PENG Mao-jun  XIAO Yong
Affiliation:1.School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,
Heilongjiang Province,China;2.Beijing Electric Power Corporation,Xicheng District,Beijing 100031,China;
3.Zhaoqing Electric Power Supply Bureau,Zhaoqing 526060,Guangdong Province,China
Abstract:A new distributed state estimation approach based on decomposition and coordination is presented to solve the state estimation(SE) of interconnected multi-area power grid.According to the weighted mean of power residual error obtained by SE of subsystems at both ends of virtual buses,the computation center of interconnected power grid calculate the varying quantities of injected power in each several virtual buses of subsystems.By means of the sensitivity matrix of nodal state variables to the injected power of subsystems and that of estimated power value to nodal state variables,the SE results of subsystems are modified to obtain the solution of SE for interconnected power grid.Simulation results show that the distributed SE algorithm is an accurate and fast approach for SE of interconnected power grid,and can calculates partial observable results of interconnected power grid maximally and accurately when the computation center cannot obtain data of partial subsystems.
Keywords:decomposition and coordination  multi-area interconnected  sensitivity  state estimation(SE)  weighted least squares(WLS)
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