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Real-time hybrid method for maneuver detection and estimation of non-cooperative space targets
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作者 Peng Zhang Di Wu Hexi Baoyin 《Astrodynamics》 EI CSCD 2024年第3期437-453,共17页
A novel hybrid scheme for the maneuver detection and estimation of a noncooperative space target was proposed in this study.The optical measurements,together with the range and range rate measurements from the ground-... A novel hybrid scheme for the maneuver detection and estimation of a noncooperative space target was proposed in this study.The optical measurements,together with the range and range rate measurements from the ground-based radars,were used in the tracking scenarios.In many tracking scenarios,radar resources for non-cooperative targets are constrained,particularly for near-earth targets,where multiple objects can only be tracked by a single radar at a time.This limitation hinders the accurate estimation of noncooperative target maneuvers,and can at times result in target loss.Existing literature has addressed this issue to some extent through various maneuvering target-tracking methods.To address this problem,a hybrid maneuver detection and estimation method that combines the input detection and estimation extended kalman filter and the weighted nonlinear least squares method is presented.Simulation results demonstrate that the proposed method outperforms the previous method,offering more accurate and efficient estimations. 展开更多
关键词 orbit determination unknown maneuver maneuver detection and estimation extended Kalman filter weighted least squares method(WLS)
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Distributed Estimation of Oscillations in Power Systems: An Extended Kalman Filtering Approach 被引量:2
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作者 Zhe Yu Di Shi +3 位作者 Zhiwei Wang Qibing Zhang Junhui Huang Sen Pan 《CSEE Journal of Power and Energy Systems》 SCIE CSCD 2019年第2期181-189,共9页
Online estimation of electromechanical oscillation parameters provides essential information to prevent system instability and blackout and helps to identify event categories and locations.We formulate the problem as ... Online estimation of electromechanical oscillation parameters provides essential information to prevent system instability and blackout and helps to identify event categories and locations.We formulate the problem as a state space model and employ the extended Kalman filter to estimate oscillation frequencies and damping factors directly based on data from phasor measurement units.Due to considerations of communication burdens and privacy concerns,a fully distributed algorithm is proposed using diffusion extended Kalman filter.The effectiveness of proposed algorithms is confirmed by both simulated and real data collected during events in State Grid Jiangsu Electric Power Company. 展开更多
关键词 Distributed estimation extended Kalman filter oscillation detection and estimation
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Power Factor Estimation of Distributed Energy Resources Using Voltage Magnitude Measurements
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作者 Samuel Talkington Santiago Grijalva Matthew J.Reno 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2021年第4期859-869,共11页
This paper presents a new method for the estimation of the injection state and power factor of distributed energy resources (DERs) using voltage magnitude measurements only. A physics-based linear model is used to dev... This paper presents a new method for the estimation of the injection state and power factor of distributed energy resources (DERs) using voltage magnitude measurements only. A physics-based linear model is used to develop estimation heuristics for net injections of real and reactive power at a set of buses under study, allowing a distribution engineer to form a robust estimate for the operating state and the power factor of the DER at those buses. The method demonstrates and exploits a mathematical distinction between the voltage sensitivity signatures of real and reactive power injections for a fixed power system model. Case studies on various test feeders for a model of the distribution circuit and statistical analyses are presented to demonstrate the validity of the estimation method. The results of this paper can be used to improve the limited information about inverter parameters and operating state during renewable planning, which helps mitigate the uncertainty inherent in their integration. 展开更多
关键词 Decentralized power system control detection and estimation power factor sparse approximation
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