Microgrids are key elements to integrate renewable and distributed energy resources as well as distributed energy storage systems. In the last years, efforts toward the standardization of these microgrids have been ma...
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Microgrids are key elements to integrate renewable and distributed energy resources as well as distributed energy storage systems. In the last years, efforts toward the standardization of these microgrids have been made. In this sense, this paper presents the hierarchical control which consist of three levels: i) the primary control is based on the droop method, including an output impedance virtual loop; ii) the secondary control allows to restore the deviations produced by the primary control; and iii) the tertiary control manage the power flow between the microgrid and the external electrical distribution system. Results from a hierarchical-controlled microgrid are provided to show the feasibility of the proposed approach.
This work presents a Hybrid Model Library (HML) for enhancing the analysis of ship electrical systems. Lots of studies were made in order to select the most appropriated software platform to test the new models develo...
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This work presents a Hybrid Model Library (HML) for enhancing the analysis of ship electrical systems. Lots of studies were made in order to select the most appropriated software platform to test the new models developed. This work shows examples of models developed in Simulink-MATLAB and PSIM platforms. Later on, we present a research methodology based on modeling techniques by hybridization. Several modeling stages will be presented in order to clarify what kind of difficulties has been solved during marine plant models designing. Finally, we present some conclusions about the HML developed and the chances to improve its core.
This paper presents the application of a statistical method for model structure selection of lift-drag and viscous damping components in ship manoeuvring models. The damping model is posed as a family of linear stocha...
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This paper presents the application of a statistical method for model structure selection of lift-drag and viscous damping components in ship manoeuvring models. The damping model is posed as a family of linear stochastic models, which is postulated based on previous work in the literature. Then a nested test of hypothesis problem is considered. The testing reduces to a recursive comparison of two competing models, for which optimal tests in the Neyman sense exist. The method yields a preferred model structure and its initial parameter estimates. Alternatively, the method can give a reduced set of likely models. Using simulated data we study how the selection method performs when there is both uncorrelated and correlated noise in the measurements. The first case is related to instrumentation noise, whereas the second case is related to spurious wave-induced motion often present during sea trials. We then consider the model structure selection of a modern high-speed trimaran ferry from full scale trial data.
The IEC61499 is an open standard for distributed control and automation. The interface between control software and hardware or communications is achieved by means of the so-called Service Interface Function Blocks (S...
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The IEC61499 is an open standard for distributed control and automation. The interface between control software and hardware or communications is achieved by means of the so-called Service Interface Function Blocks (SIFB). This paper presents the guidelines to build communication SIFBs based on the emerging OMG DDS (Data Distribution Service) middleware. This specification implements in a very efficient way the Publisher/Subscriber paradigm providing significant QoS configuration possibilities. These characteristics make DDS suitable for implementing the communications among time-critical devices. By using these DDS-SIFBs within IEC61499 code generation tools, the designers of the distributed applications will be allowed to use this powerful technology in the new distributed applications.
The problem of multiplicative fault detection and isolation (FDI) in the current sensors of a doubly-fed induction generator (DFIG) is considered in the presence of model uncertainty. A residual generator based on the...
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ISBN:
(纸本)9781424477456
The problem of multiplicative fault detection and isolation (FDI) in the current sensors of a doubly-fed induction generator (DFIG) is considered in the presence of model uncertainty. A residual generator based on the DFIG model is proposed using the structure of the classical generalized observer scheme (GOS). However, each observer in this scheme is replaced by a robust H_(-)/H_(infinity) fault detection filter followed by a Kalman-like observer. It turns out that the fault detection/isolation problem then amounts to detecting the appearance of sine waves superimposed to specific components of a white noise vector. A Generalized Likelihood Ratio Test (GLRT) is developed to solve the problem. The complete FDI system is validated through simulations on a controlled DFIG.
One of the advantages of model predictive control is its ability to take optimal account of information about future setpoint changes in the design of the control law. However, it is easy to show that the default opti...
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ISBN:
(纸本)9781424474264
One of the advantages of model predictive control is its ability to take optimal account of information about future setpoint changes in the design of the control law. However, it is easy to show that the default optimum GPC (Generalized Predictive control) law that uses this information can lead to a deterioration rather than an improvement in performance. This paper discusses some simple modifications to overcome this problem. Specifically the focus here is on move-blocking approaches which seek to extend the effective input horizon while restricting the number of optimisation variables. A simple algorithm is proposed which allows optimal nominal performance and tracking without the undesirable effects arising from the standard approaches;hence the proposed modification always improves algorithm performance.
Preconcentrators have been much studied last years to enhance sensitivity of gas sensors. We use electro-thermal simulations to design thermal isolated membranes that supports thin film heaters as components of gas pr...
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Preconcentrators have been much studied last years to enhance sensitivity of gas sensors. We use electro-thermal simulations to design thermal isolated membranes that supports thin film heaters as components of gas preconcentrators, these heaters provide a good thermal homogeneity ensuring a narrow desorption peak and improving in this way the sensors response. We have validated our simulations with experimental results.
The vehicle system is a multi-domain system that requires many branches of science and engineering. Therefore the development of the vehicle system requires the use of design methodologies that utilize simulations, wh...
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Due to the stochastic characteristic of photovoltaic (PV) generation, energy storage devices are indispensable to smooth the power flow and provide the electric energy with high quality. In this paper, an integrated D...
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Due to the stochastic characteristic of photovoltaic (PV) generation, energy storage devices are indispensable to smooth the power flow and provide the electric energy with high quality. In this paper, an integrated DC/DC converter is proposed to realize high performance interfaces for PV array, battery and load. This converter consists of a boost converter for the PV array and a buck/boost converter for the battery, which can realize multifunction including power generation, charge and discharge. The grid-connected and stand-alone operation modes of this converter are analyzed. From this analysis, the control strategies are developed for both modes. A coordination scheme is proposed for the power balance at the stand-alone mode. Simulation and experiments verify the practical feasibility and effectiveness of this multi-function converter.
The influence of random short time-delay to networked controlsystems (NCS) is changed into an unknown bounded uncertain part. Without changing the structure of the system, an Hoo states observer is designed for NCS...
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The influence of random short time-delay to networked controlsystems (NCS) is changed into an unknown bounded uncertain part. Without changing the structure of the system, an Hoo states observer is designed for NCS with short time-delay. Based on the designed states observer, a robust fault detection approach is proposed for NCS. In addition, an optimization method for the selection of the detection threshold is introduced for better tradeoff between the robustness and the sensitivity. Finally, some simulation results demonstrate that the presented states observer is robust and the fault detection for NCS is effective.
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