文章摘要
张佳楠,袁启海,余建明,等.基于联络线扩展区域分解协调的分布式并行状态估计[J].电力系统自动化. DOI: 10.7500/AEPS20180603007.
ZHANG Jianan,YUAN Qihai,YU Jianming, et al.Distributed parallel state estimation based on the decomposition and coordination of tie-line extended area[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20180603007.
基于联络线扩展区域分解协调的分布式并行状态估计
Distributed parallel state estimation based on the decomposition and coordination of tie-line extended area
DOI:10.7500/AEPS20180603007
关键词: 状态估计;分布式计算  联络线分区解耦  联络线扩展区域状态估计;灵敏度矩阵协调算法
KeyWords: state estimation  distributed computing  partition decoupled by tie-line  tie-line extended area state estimation algorithm  sensitivity matrix coordinate algorithm
上网日期:2019-01-04
基金项目:国家电网公司“千人计划”专项资助项目(5206001600A3)
作者单位E-mail
张佳楠 北京科东电力控制系统有限责任公司 1252299370@qq.com 
袁启海 北京科东电力控制系统有限责任公司 yuanqihai@sgepri.sgcc.com.cn 
余建明 北京科东电力控制系统有限责任公司 yujianming@sgepri.sgcc.com.cn 
单连飞 北京科东电力控制系统有限责任公司 shanlianfei@sgepri.sgcc.com.cn 
周二专 北京科东电力控制系统有限责任公司 mike.zhou@interpss.org 
赵林 北京科东电力控制系统有限责任公司 zhaolin@sgepri.sgcc.com.cn 
摘要:
      为适应互联电网日益复杂的结构形式和分层分区管理模式,采用联络线分区解耦方式对互联系统进行分布式状态估计计算。考虑到估计计算精度与计算效率的均衡,提出了一种将联络线扩展区域状态估计和灵敏度矩阵协调算法结合的分布式状态估计算法。设计分布式状态估计整体思路,一方面,在实现联络线分区解耦的前提下,完成分区层各子区独立地状态估计计算和灵敏度矩阵求解,利用子区计算时机动态构建协调层联络线估计区域并完成并行状态估计计算;另一方面,根据协调层下发的联络线估计值和灵敏度矩阵,分区层各子区并行实现边界估计值不匹配量的协调修正计算。最后,通过IEEE118、IEEE30和实际互联电网的模拟仿真,验证上述算法实现分布式状态估计计算的优越性。仿真结果表明,采用该算法进行分布式估计计算,既具有较高的估计精度、收敛速度和计算效率,又可实现并行独立计算,避免集中式状态估计计算规模大、法解决局部不可观测或不收敛的瓶颈问题。
Abstract:
      In order to adapt to the increasingly complex structure of the interconnected power grid and the hierarchical management modes, this paper proposes a distributed state estimation algorithm combining the tie-line extended area state estimation and the sensitivity matrix coordination method, which decouples the interconnected power grid with tie-lines to perform sub system state estimation, and considers the balance of estimation accuracy and efficiency. The whole idea of the distributed state estimation is designed in two parts. Firstly, independently perform state estimation and solve sensitivity matrix of each sub-region once the interconnected power grid is decoupled by regional tie-lines, dynamically construct the tie-line estimation area on coordination layer simultaneously, and completes the parallel state estimation calculation; then, coordinate the boundary mismatch corrections on sub-region in parallel according to the tie-line estimations and sensitivity matrixes distributed by the coordination layer. At the end of the paper, the calculation examples of the IEEE118, IEEE30 and a real interconnected power system shows the superiority of the proposed algorithm, in terms of the estimation accuracy, the converging speed, and the calculation efficiency. The proposed algorithm avoids the large-scale integrated state estimation calculation and solves the bottleneck of large scale power system state estimation with local observability or convergence issues by performing independent parallel calculations.
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