A Novel Dynamic State Estimation Algorithm in Power Systems Under Denial of Service Attacks

被引：2

作者：

Yang, Mengzhuo ^{[1
]}

Li, Xue ^{[1
]}

Du, Dajun ^{[1
]}

机构：

[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China

来源：

ADVANCED COMPUTATIONAL METHODS IN ENERGY, POWER, ELECTRIC VEHICLES, AND THEIR INTEGRATION, LSMS 2017, PT 3 | 2017年 / 763卷

基金：

美国国家科学基金会;

关键词：

Power system; Dynamic state estimation; Denial of service attack; Extended Kalman filter; NETWORKS;

D O I：

10.1007/978-981-10-6364-0_46

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper is concerned with a dynamic state estimation algorithm in power systems under denial of service (DoS) attacks. Firstly, the character of data packet losses caused by DoS attacks is described by Bernoulli distribution, and the dynamic model of power system is reconstructed. Using Holt's two-parameter exponential smoothing and extended Kalman filtering techniques, a dynamic state estimation algorithm is proposed, where the recursion formula of the parameter identification, state prediction and state filtering contain the statistical properties of data packet losses. Simulation results confirm the feasibility and effectiveness of the proposed algorithm.

引用

页码：458 / 466

页数：9

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