The Experts below are selected from a list of 3535278 Experts worldwide ranked by ideXlab platform
Zhao Yang Dong - One of the best experts on this subject based on the ideXlab platform.
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stability analysis and controller design of a wide area time delay system based on the expectation Model Method
Power and Energy Society General Meeting, 2016Co-Authors: Xinran Zhang, Xiaorong Xie, Zhao Yang DongAbstract:Stochastic time delay is a new challenge for communication networks in wide-area damping control systems. Uncertainties introduced by stochastic time delays increase the difficulty of Modeling, analyzing the stability and designing the controller. In this paper, a new approach for stability analysis and controller design through expectation Modelling is proposed to solve for the uncertainty in wide-area controlled power systems introduced by the effect of a stochastic time delay. In the proposed Method, the expectation Model that considers the detailed stochastic time delay distribution is derived to accurately Model the effect of a communication network on the wide-area control performance. Through a matrix transformation of the expectation Model, the eigenvalue of the wide-area damping control system that considers time delay can then be calculated; this eigenvalue can be used for analyzing the system stability. A novel expectation Model based controller design procedure is established, through which traditional Methods can be applied in the controller design of a power system with a stochastic time delay. Finally, the effectiveness of the stability analysis and controller design Methods are validated through simulations in a power system of 4 generators and 2 areas with an HVDC link and a power system with 8 generators and 36 buses.
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stability analysis and controller design of a wide area time delay system based on the expectation Model Method
IEEE Transactions on Smart Grid, 2016Co-Authors: Xinran Zhang, Xiaorong Xie, Zhao Yang DongAbstract:Stochastic time delay is a new challenge for communication networks in wide-area damping control (WADC) systems. Uncertainties introduced by stochastic time delays increase the difficulty of Modeling, analyzing the stability, and designing the controller. In this paper, a new approach for stability analysis and controller design through expectation Modeling is proposed to solve for the uncertainty in wide-area controlled power systems introduced by the effect of a stochastic time delay. In the proposed Method, the expectation Model that considers the detailed stochastic time delay distribution is derived to accurately Model the effect of a communication network on the wide-area control performance. Through a matrix transformation of the expectation Model, the eigenvalue of the WADC system that considers time delay can then be calculated; this eigenvalue can be used for analyzing the system stability. A novel expectation Model-based controller design procedure is established, through which traditional Methods can be applied in the controller design of a power system with a stochastic time delay. Finally, the effectiveness of the stability analysis and controller design Methods are validated through simulations in a power system of four generators and two areas with an HVDC link, and a power system with eight generators and 36 buses.
Xinran Zhang - One of the best experts on this subject based on the ideXlab platform.
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stability analysis and controller design of a wide area time delay system based on the expectation Model Method
Power and Energy Society General Meeting, 2016Co-Authors: Xinran Zhang, Xiaorong Xie, Zhao Yang DongAbstract:Stochastic time delay is a new challenge for communication networks in wide-area damping control systems. Uncertainties introduced by stochastic time delays increase the difficulty of Modeling, analyzing the stability and designing the controller. In this paper, a new approach for stability analysis and controller design through expectation Modelling is proposed to solve for the uncertainty in wide-area controlled power systems introduced by the effect of a stochastic time delay. In the proposed Method, the expectation Model that considers the detailed stochastic time delay distribution is derived to accurately Model the effect of a communication network on the wide-area control performance. Through a matrix transformation of the expectation Model, the eigenvalue of the wide-area damping control system that considers time delay can then be calculated; this eigenvalue can be used for analyzing the system stability. A novel expectation Model based controller design procedure is established, through which traditional Methods can be applied in the controller design of a power system with a stochastic time delay. Finally, the effectiveness of the stability analysis and controller design Methods are validated through simulations in a power system of 4 generators and 2 areas with an HVDC link and a power system with 8 generators and 36 buses.
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stability analysis and controller design of a wide area time delay system based on the expectation Model Method
IEEE Transactions on Smart Grid, 2016Co-Authors: Xinran Zhang, Xiaorong Xie, Zhao Yang DongAbstract:Stochastic time delay is a new challenge for communication networks in wide-area damping control (WADC) systems. Uncertainties introduced by stochastic time delays increase the difficulty of Modeling, analyzing the stability, and designing the controller. In this paper, a new approach for stability analysis and controller design through expectation Modeling is proposed to solve for the uncertainty in wide-area controlled power systems introduced by the effect of a stochastic time delay. In the proposed Method, the expectation Model that considers the detailed stochastic time delay distribution is derived to accurately Model the effect of a communication network on the wide-area control performance. Through a matrix transformation of the expectation Model, the eigenvalue of the WADC system that considers time delay can then be calculated; this eigenvalue can be used for analyzing the system stability. A novel expectation Model-based controller design procedure is established, through which traditional Methods can be applied in the controller design of a power system with a stochastic time delay. Finally, the effectiveness of the stability analysis and controller design Methods are validated through simulations in a power system of four generators and two areas with an HVDC link, and a power system with eight generators and 36 buses.
Feng Ding - One of the best experts on this subject based on the ideXlab platform.
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novel data filtering based parameter identification for multiple input multiple output systems using the auxiliary Model
Automatica, 2016Co-Authors: Yanjiao Wang, Feng DingAbstract:This communique uses the auxiliary Model Method to study the identification problem of a multiple-input multiple-output (MIMO) system. For such a MIMO system whose outputs are contaminated by an ARMA noise process (i.e., correlated noise), an auxiliary Model based recursive least squares parameter estimation algorithm is presented through filtering input-output data. The proposed algorithm has higher estimation accuracy than the existing multivariable identification algorithm. The simulation example is given.
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auxiliary Model based multi innovation extended stochastic gradient parameter estimation with colored measurement noises
Signal Processing, 2009Co-Authors: Feng Ding, Peter X Liu, Guangjun LiuAbstract:For pseudo-linear regression identification Models corresponding output error systems with colored measurement noises, a difficulty of identification is that there exist unknown inner variables and unmeasurable noise terms in the information vector. This paper presents an auxiliary Model based multi-innovation extended stochastic gradient algorithm by using the auxiliary Model Method and by expanding the scalar innovation to an innovation vector. Compared with single innovation extended stochastic gradient algorithm, the proposed approach can generate highly accurate parameter estimates. The simulation results confirm this conclusion.
Xiaorong Xie - One of the best experts on this subject based on the ideXlab platform.
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stability analysis and controller design of a wide area time delay system based on the expectation Model Method
Power and Energy Society General Meeting, 2016Co-Authors: Xinran Zhang, Xiaorong Xie, Zhao Yang DongAbstract:Stochastic time delay is a new challenge for communication networks in wide-area damping control systems. Uncertainties introduced by stochastic time delays increase the difficulty of Modeling, analyzing the stability and designing the controller. In this paper, a new approach for stability analysis and controller design through expectation Modelling is proposed to solve for the uncertainty in wide-area controlled power systems introduced by the effect of a stochastic time delay. In the proposed Method, the expectation Model that considers the detailed stochastic time delay distribution is derived to accurately Model the effect of a communication network on the wide-area control performance. Through a matrix transformation of the expectation Model, the eigenvalue of the wide-area damping control system that considers time delay can then be calculated; this eigenvalue can be used for analyzing the system stability. A novel expectation Model based controller design procedure is established, through which traditional Methods can be applied in the controller design of a power system with a stochastic time delay. Finally, the effectiveness of the stability analysis and controller design Methods are validated through simulations in a power system of 4 generators and 2 areas with an HVDC link and a power system with 8 generators and 36 buses.
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stability analysis and controller design of a wide area time delay system based on the expectation Model Method
IEEE Transactions on Smart Grid, 2016Co-Authors: Xinran Zhang, Xiaorong Xie, Zhao Yang DongAbstract:Stochastic time delay is a new challenge for communication networks in wide-area damping control (WADC) systems. Uncertainties introduced by stochastic time delays increase the difficulty of Modeling, analyzing the stability, and designing the controller. In this paper, a new approach for stability analysis and controller design through expectation Modeling is proposed to solve for the uncertainty in wide-area controlled power systems introduced by the effect of a stochastic time delay. In the proposed Method, the expectation Model that considers the detailed stochastic time delay distribution is derived to accurately Model the effect of a communication network on the wide-area control performance. Through a matrix transformation of the expectation Model, the eigenvalue of the WADC system that considers time delay can then be calculated; this eigenvalue can be used for analyzing the system stability. A novel expectation Model-based controller design procedure is established, through which traditional Methods can be applied in the controller design of a power system with a stochastic time delay. Finally, the effectiveness of the stability analysis and controller design Methods are validated through simulations in a power system of four generators and two areas with an HVDC link, and a power system with eight generators and 36 buses.
Jiří Kučerík - One of the best experts on this subject based on the ideXlab platform.
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introducing a soil universal Model Method summ and its application for qualitative and quantitative determination of poly ethylene poly styrene poly vinyl chloride and poly ethylene terephthalate microplastics in a Model soil
Chemosphere, 2019Co-Authors: Jan David, Z Steinmetz, Lucie Kabelikova, Michael Scott Demyan, Jana Simeckova, David Tokarski, Helena Doležalová Weissmannová, Gabriele E. Schaumann, Christian Siewert, Jiří KučeríkAbstract:Abstract Methods for analysis of microplastic in soils are still being developed. In this study, we evaluated the potential of a soil universal Model Method (SUMM) based on thermogravimetry (TGA) for the identification and quantification of microplastics in standard loamy sand. Blank and spiked soils (with amounts of one of four microplastic types) were analyzed by TGA. For each sample, thermal mass losses (TML) in 10 °C intervals were extracted and used for further analysis. To explain and demonstrate the principles of SUMM, two scenarios were discussed. The first refers to a rare situation in which an uncontaminated blank of investigated soil is available and TML of spiked and blank soils are subtracted. The results showed that the investigated microplastics degraded in characteristic temperature areas and differences between spiked and blank soils were proportional to the microplastics concentrations. The second scenario reflects the more common situation where the blank is not available and needs to be replaced by the previously developed interrelationships representing soil universal Models. The Models were consequently subtracted from measured TML. Sparse principal component analysis (sPCA) identified 8 of 14 Modeled differences between measured TMLs and the universal Model as meaningful for microplastics discrimination. Calibrating various microplastics concentrations with the first principal component extracted from sPCA resulted in linear fits and limits of detection in between environmentally relevant microplastics concentrations. Even if such an approach using calculated standards still has limitations, the SUMM shows a certain potential for a fast pre-screening Method for analysis of microplastics in soils.
