With the development of synchronous measuring technology and communication technology, the units of measurement, calculation, execution and communication are deeply integrated into energy manage system, which can achi...
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With the development of synchronous measuring technology and communication technology, the units of measurement, calculation, execution and communication are deeply integrated into energy manage system, which can achieve panoramic state awareness through the fast and accurate state estimation algorithm. Meanwhile, the cyber-attack has become an important issue posing severe threats to the secure operation of power systems. A well-designed false data injection attack (FDIA) against stateestimation can effectively bypass the traditional bad data detection methods and interfere with the decision of the control centre, thus causing the power system incidents. This study comprehensively discusses the characteristics of FDIA including not only the goals, construction methods and consequences of FDIA from the perspective of attackers but also the protection and detection countermeasures from the perspective of defenders. Moreover, a game-theory-based FDIA against the substation information network is simulated to reveal the interactions between attackers and defenders.
This paper addresses the problem of rigid body orientation tracking. A complementary nonlinear observer is proposed for attitude estimation using inertial/magnetic sensors. The approach developed here is applied in Bi...
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ISBN:
(纸本)9781424453634
This paper addresses the problem of rigid body orientation tracking. A complementary nonlinear observer is proposed for attitude estimation using inertial/magnetic sensors. The approach developed here is applied in Bio-logging, an interdisciplinary research area at the intersection of animal behavior and bioengineering. We propose a state estimation algorithm that combines three complementary data obtained from a 3-axis accelerometer, a 3-axis magnetometer and a 3-axis gyroscope in order to provide the best attitude. The proposed algorithm is based on a nonlinear observer coupled with an Iterated Least Squares algorithm (ISLA). The evaluation of the state estimator by simulation is followed by some experiments illustrating the efficiency of the proposed approach.
Adaptive filters generally employed for estimation purposes require high computational power when it comes to real time estimation. Therefore, in this paper we propose a computationally light yet effective estimation ...
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ISBN:
(纸本)9781479941667
Adaptive filters generally employed for estimation purposes require high computational power when it comes to real time estimation. Therefore, in this paper we propose a computationally light yet effective estimationalgorithm based on state space model. Our algorithm has been employed successfully in linear and non linear state space model based estimation problems. We investigate few examples to demonstrate the novelty of our algorithm by comparison with few existing algorithms in presence of non Gaussian noise namely uniform noise. More specifically, the state space normalized least mean squares and the Kalman filter has been compared with our algorithm.
作者：
Alassery, FawazTaif Univ
Coll Comp & Informat Technol Dept Comp Engn POB 11099 Taif 21944 Saudi Arabia
In most circumstances, accessing measurements from entire smart metres set in less-voltage grid area for distribution monitoring is not practicable because of less bandwidth as well as excessive delays in accessing Sm...
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In most circumstances, accessing measurements from entire smart metres set in less-voltage grid area for distribution monitoring is not practicable because of less bandwidth as well as excessive delays in accessing Smart Meter monitoring. Estimating the condition of a distribution system can be done using voltage, active and reactive power measurements from smart metres subset. On one hand, increasing number of selected smart metres improves distribution state assessment accuracy, it degrades monitoring data time. It improves the electrical system's dependability and efficiency while also providing security to the system. Smart grid infrastructure is a modified form of smart grid. Smart grid infrastructure is a modified form of the smart grid. It has high-capacity converters, sensing and metering technologies, and automated control to improve efficiency and dependability. The goal of this article is to use smart metering technology to improve the observer of low-voltage distribution grids. The use of a distribution network-based stateestimation technique employing smart metre readings for near-real-time monitoring of low-voltage distribution grids is the focus of this research. This paper propose smart metering based on cloud architecture for low voltage distribution networks with distribution network based state estimation algorithm in application of monitoring. The article will discuss the critical role of cloud solution in achieving interoperability, scalability and flexibility as well as enabling integration of various services for distribution system automation. As an example of coordinated operation of diverse distribution grid services by cloud, distributed stateestimation technique as well as autonomous network reconfiguration will be demonstrated.
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