In the context of grid-connected power electronic devices, particularly power conversion systems (PCS), traditional bilateral reactive power perturbation techniques are plagued by challenges associated with unpredicta...
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ISBN:
(数字)9798350380514
ISBN:
(纸本)9798350380521
In the context of grid-connected power electronic devices, particularly power conversion systems (PCS), traditional bilateral reactive power perturbation techniques are plagued by challenges associated with unpredictable detection times and pronounced detrimental effects on power quality. Meanwhile, unilateral reactive power perturbation methods encounter similar difficulties in effectively managing detection durations. This paper, taking into account the operational conditions both preceding and following the occurrence of islanding, conducts a thorough analysis of the fundamental principles of reactive power perturbation. It subsequently establishes an approximate linear correlation between reactive power perturbation and the frequency at the point of common coupling (PCC) subsequent to islanding. Building upon this analysis, the paper introduces the design rationale for a dual-trigger mechanism for reactive power perturbations, which integrates the strengths of both perturbation methodologies. Consequently, a novel hybrid reactive power perturbation-based islanding detection method, conditioned upon these dual triggers, is proposed. Through comprehensive hardware-in-the-loop (HIL) simulations, the results conclusively demonstrate that this method exhibits minimal disruption to output power quality, exhibits robust adaptability to grid frequency fluctuations, effectively eliminates detection blind zones, and ensures precise control over the timing of islanding detection.
The operation of a grid-forming converter in unbalanced four-wire systems can benefit from a more flexible control, achievable through per-phase controllers. Nonetheless, the design of this controller requires a theor...
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ISBN:
(数字)9798350376067
ISBN:
(纸本)9798350376074
The operation of a grid-forming converter in unbalanced four-wire systems can benefit from a more flexible control, achievable through per-phase controllers. Nonetheless, the design of this controller requires a theoretical model that deals with nonlinear dynamics and accounts for couplings with other phases. This work presents a method using describing functions for linearization and whole system representation through state-space modeling. simulations of the linear model are compared to results obtained through hardware-in-the-loop simulation.
This paper describes how to proficiently prevent software defects in autonomous vehicles, discover and correct defects if they are encountered, and create a higher level of assurance in the software product developmen...
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Incidents of wideband oscillations occurred in wind farms, urgently necessitating small-signal stability assessment. The wind speed and the output power are time-variant, resulting in varying impedance characteristics...
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This work focuses on the assessment of safety and energy performance of an ACC-equipped electric vehicle under different driving conditions. Variability in vehicle dynamics and ACC settings introduces complexities in ...
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ISBN:
(数字)9798350355185
ISBN:
(纸本)9798350355192
This work focuses on the assessment of safety and energy performance of an ACC-equipped electric vehicle under different driving conditions. Variability in vehicle dynamics and ACC settings introduces complexities in analysing the performance of the considered system. To address this challenge, an evaluation methodology that integrates stochastic simulation with the PAWN sensitivity technique is employed. This approach enables the evaluation of the impact of variations in driving conditions on both safety and energy efficiency. The extensive analysis denotes and quantifies the effect of driving condition variables on the performance of the vehicle. Results also prove that different goals (safety and consumption) are affected by different variables. The outcome of such operation is crucial for optimizing ACC system design and operation to enhance both safety and energy efficiency in electric vehicles.
China's freight trains are developing towards long marshalling and large marshalling. The characteristics of heavy haul train braking system have become the focus of attention. When studying the characteristics of...
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ISBN:
(纸本)9781728172477
China's freight trains are developing towards long marshalling and large marshalling. The characteristics of heavy haul train braking system have become the focus of attention. When studying the characteristics of heavy haul freight train braking system, if we can use hardware-in-the-loop simulation platform, it will save a lot of manpower and material resources. Moreover, the results of hardware-in-the-loop simulation test, compared with the results of computer simulation alone, its accuracy has been greatly improved, and the scope of application is more extensive. The core of hardware-in-the-loop simulation of braking system is to simulate the braking situation of long marshalling trains through the braking situation of small marshalling trains. Based on the hardware-in-the-loop simulation platform of 150 train braking system, the LSTM-Attention model is trained by deep learning technology and existing air pressure data, and the initial air pressure data of unknown vehicles are given. Based on the braking performance test of small marshalling trains, the braking model of long marshalling trains is established. The results show that the LSTM-Attention model has strong advantages in this paper. Compared with the traditional sequence prediction method, the accuracy of the experimental results is far ahead, and the experimental efficiency is also very competitive.
The implementation of nonlinear model predictive control (NMPC) in applications with fast dynamics remains an open challenge due to the need to solve a potentially non-convex optimization problem in real-time. The off...
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ISBN:
(纸本)9781665441971
The implementation of nonlinear model predictive control (NMPC) in applications with fast dynamics remains an open challenge due to the need to solve a potentially non-convex optimization problem in real-time. The offline approximation of NMPC laws using deep learning has emerged as a powerful framework for overcoming these challenges in terms of speed and resource requirements. Deep neural networks (DNNs) are particularly attractive for embedded applications due to their small memory footprint. This work introduces a strategy for achieving offset-free tracking despite the presence of error in DNN-based approximate NMPC. The proposed approach involves a correction factor defined via a small-scale target tracking optimization problem, which is easier to approximate than the tracking NMPC law itself. As such, the overall control strategy is amenable to efficient implementations on low-cost embedded hardware. The effectiveness of the proposed offset-free DNN-based NMPC is demonstrated on a benchmark problem in which the control strategy is deployed onto a field programmable gate array (FPGA) architecture that is verified using hardware-in-the-loop simulations.
This study describes the implementation of an online path planner in an autonomous underwater vehicle (AUV) system by using an open-source system architecture, MOOS-IvP. The path planner employed a path replanning sch...
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This study describes the implementation of an online path planner in an autonomous underwater vehicle (AUV) system by using an open-source system architecture, MOOS-IvP. The path planner employed a path replanning scheme and the selective differential evolution quantum-behaved particle swarm optimization (SDEQPSO) algorithm. The implementation was based on a modular framework to ensure the robustness of the path replanner during a mission. The performance of the path replanner was evaluated and verified under stochastic processes hardware-in-the-loop (HIL) tests, in which the replanner interacted with the onboard controllers and actuators of an Explorer AUV. The experimental results showed the path replanner can be run seamlessly with the hardware onboard an Explorer AUV in real time to generate and continuously refine a safe and feasible path for a dynamic and unexplored environment.
In this paper, a new multi-functional integrated DCDC converter for unmanned aerial vehicle (UAV) applications is presented. Hybrid power sources, including a fuel cell (FC), battery, and solar, are used in the propos...
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ISBN:
(纸本)9781728175836
In this paper, a new multi-functional integrated DCDC converter for unmanned aerial vehicle (UAV) applications is presented. Hybrid power sources, including a fuel cell (FC), battery, and solar, are used in the proposed UAV power system to prolong the flight endurance time. For those multiple sources, the proposed integrated DC-DC converter involves in different functional structures, which offer performance optimization of FC and solar panel, charging/discharging operation of the battery, DC bus voltage regulation, and is able to perform in the regenerative operating mode if it is needed. A permanent magnet BLDC motor is employed for the system working with the multi-functional integrated converter. Moreover, the proposed integrated converter can also be used to charge the battery through the grid from any outlet charging station. A real-time hardware-in-the-loop simulation setup has been used to verify the proposed converter and control strategy.
Executing real-time simulations with a fixed time step presents a challenge for the calculation of discrete switching events in power electronic converters. The instants of forced and natural commutation of the conver...
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ISBN:
(纸本)9781665405287
Executing real-time simulations with a fixed time step presents a challenge for the calculation of discrete switching events in power electronic converters. The instants of forced and natural commutation of the converter currents will generally not coincide with the simulation step. This problem is particularly evident with DC/DC converters such as the Dual-Active Bridge (DAB) or LLC operating at high switching frequencies where the simulation time step is in the range of the switching period. Moreover, the currents typically commutate twice in each switching period. In this paper, a "sub-step event" approach is presented that splits the fixed simulation step into intervals delimited by switching events. The events include forced switching and natural current commutation. The real-time performance of the sub-step event approach is explained and assessed using a dual-active bridge converter as an example. The performance assessment comprises both the simulation accuracy and the computational effort.
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