Fault detection and location is a challenging issue in microgrid protection, which is increasingly more complex in the presence of distributed generators based on renewable energy, due to their inherent intermittency....
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Fault detection and location is a challenging issue in microgrid protection, which is increasingly more complex in the presence of distributed generators based on renewable energy, due to their inherent intermittency. In this context, a novel data-driven approach for fault detection and location in microgrids is proposed, by using graph theory representation and micro-synchrophasors also known as $\mu $mu PMUs. This proposal adopts the conviction to provide an accurate fault location even under variations in short-circuit levels caused by the intermittency of distributed generators. This is in sharp contrast with traditional short-circuit rating-based methods, which are not always advisable due to the intermittent nature of power sources. This work proposes the use of a modelling specification in terms of equilibrium equations, that can reveal not only the underlying physical laws of the netowork, but also the occurrence and location of short circuits based on phasor data. The intermittency of distributed generation is modelled in the proposed approach, which permits to yield trustworthy information either distributed generators are involved in a fault or not. As a consequence, the fault location errors are significantly reduced during the fault location process. The theoretical findings of this proposal are validated via simulation results and experiments using commercial micro-synchrophasors and hardware-in-the-loop emulation of a realistic microgrid.
In electric machine drive systems, hardware-in-the-loop (HIL) emulation provides accurate testing of actual control system prototypes and protection devices interfaced with the electric machine model on a real-time si...
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In electric machine drive systems, hardware-in-the-loop (HIL) emulation provides accurate testing of actual control system prototypes and protection devices interfaced with the electric machine model on a real-time simulator in a non-destructive environment particularly when faults are studied. A compromise between the model accuracy and computational burden makes the magnetic equivalent circuit (MEC) model ideal for real-time simulation of electric machines. However, satisfying the timing constraints of real-time simulation to accommodate internal machine faults is still challenging due to the nonlinearity and rotation of electric machines. In this paper, the transmission line modeling (TLM) method is utilized to keep the MEC coefficient matrix unchanged during nonlinear iterations. Afterward, for the first time, the entire potential of the TLM method for pre-calculation is exploited by proposing an efficient matrix re-ordering combined with the left-looking Gilbert-Peierls algorithm to minimize the computational burden of the sparse MEC matrix LU decomposition required in each time-step due to rotation. Furthermore, the massive hardware architecture of the field programmable gate array is used as the platform for implementation to fully exploit parallelism. With the proposed MEC-based real-time TLM method, the minimum time-step as low as 500 mu s can be achieved and the results validation with two-dimensional finite element model (FEM) of the commercial Jmag-Designer software shows the accuracy and efficiency of the proposed methodology.
This paper describes the method for hardware implementation of the emulator of nonlinear dynamic objects in FPGA technology. In order to ensure high-fidelity of emulation it has been proposed a new architecture of the...
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ISBN:
(数字)9783319590608
ISBN:
(纸本)9783319590608;9783319590592
This paper describes the method for hardware implementation of the emulator of nonlinear dynamic objects in FPGA technology. In order to ensure high-fidelity of emulation it has been proposed a new architecture of the arithmetic unit used to operations on real numbers in digital systems. The method allows us to obtain high processing performance similar to that obtained in fixed-point systems, while offering a wide range of numbers as in a floating-point notation. Based on this idea it has been proposed a super-scalar architecture of the digital processing unit. The described approach provides powerful processing of a matrix state equation with variable coefficients, which are calculated in realtime by fuzzy systems. Obtained and presented results confirm the high performance of the developed solution.
A hardware-in-the-loop simulation platform for emulating large-scale intelligent transportation systems is presented. The platform embeds a real vehicle into SUMO, a microscopic road traffic simulation package. Emulat...
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A hardware-in-the-loop simulation platform for emulating large-scale intelligent transportation systems is presented. The platform embeds a real vehicle into SUMO, a microscopic road traffic simulation package. emulations, consisting of the real vehicle, and potentially thousands of simulated vehicles, are run in real time. The platform provides an opportunity for real drivers to gain a feel of being in a large-scale connected vehicle scenario. Various applications of the platform are presented.
Recently, distributed agents are increasingly adopted in automation control systems, where they are used for monitoring, data collection, fault diagnosis and control. However, existing agent platforms do not always fu...
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Recently, distributed agents are increasingly adopted in automation control systems, where they are used for monitoring, data collection, fault diagnosis and control. However, existing agent platforms do not always fulfill the requirements of practical automation applications in respect of real-time properties and resource usage. Often, they offer a lot of functionality that is not necessary in automation and leads to significant overhead in respect of design effort and runtime resources. To meet the specific requirements of the automation domain, a resource-efficient agent platform was developed, which relies on established concepts of agent platforms, but modifies and supplements them accordingly. This platform is implemented in Java and in several C++ variants. This paper describes the architecture of the platform and discusses several performance issues. Results of various performance tests are presented in comparison to the established agent platform JADE. Finally, a practical use case is presented, where the platform is utilized to drive a hardware-in-the-loop emulation and testing environment.
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