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In this paper, automatic separation of hybrid system models for industrial automation systems is considered. The proposed method facilitates efficient separation of systemlevel models into component-level models. Such component-level models allow for model-based diagnosis, since a close relation exists between anomalies on a component-level and fault causes. The approach is based on the concept of...
This paper addresses the optimization of energy flows between electric drives in conveying systems. Thereby, load peaks and the feedback of electric energy into the grid are reduced. The approach is based on the solution of a mixed integer quadratic optimization problem which incorporates models for energy flows and energy consumption of the electric drives. Models for energy flows and energy consumption...
In this paper, we investigate the design of stationary ESSs based on supercapacitors (SCs) for metro network (MN). We implement a simulation tool in order to estimate the power flow among the metro vehicles and the ESSs through the MN. A new formulation of the ESSs siting and sizing optimisation problem is proposed and solved using particle swarm algorithm. The optimisation process minimises the energy...
The paper presents a technique for parameter estimation of photovoltaic (PV) modules from datasheet information. The manufacturer normally provides open-circuit voltage, short-circuit current, maximum power, and voltage at maximum power under the standard test conditions (STC). The four datasheet values represent the targeted performance of the module. Parameter estimation is formulated as an optimization...
Non-linear optimal control using collocation and multiple shooting is investigated in this paper to generate the current reference signal for the lower level control of an active filter in a marine vessel with diesel-electric propulsion. The optimization objective is aimed at using the active filter for system-level minimization of Total Harmonics Distortion with the minimum rating of the active filter...
In this paper a Model Predictive Control (MPC) method for torque control of a Permanent Magnet Synchronous Motor (PMSM) is presented. The proposed approach takes into account constraints on voltages and currents, and allows the use of modulation techniques that eliminate the side effects caused by the direct transistor actuation performed by Model Predictive Direct Torque Control (MP-DTC) approaches...
The integration of renewable energies and the usage of battery energy storage systems (BESS) into the residential buildings opens the possibility for minimizing the electricity bill for the end-user. This paper proposes the use of batteries that have already been aged while powering electric vehicles, during their main first life application, for providing residential demand response service. The...
ISWEC (Inertial Sea Wave Energy Converter) is a system using the gyroscopic reactions provided from a spinning flywheel to extract power from sea waves. The flywheel and the energy conversion systems works inside the sealed floating body thus being protected from the marine environment to obtain reliable and durable operation. The goal of this work is to identify a strategy to optimize the performance...
The design of a wave energy converter (WEC) requires the preliminary selection of dimensional parameters in accordance with variables such as location site, power take off (PTO) characteristics or control strategy, with the aim of developing a realistic model to be used in the test of power takeoff devices. The paper proposes a laboratory test bench to test direct-drive linear generators, for being...
This paper presents an application of flower pollination algorithm for the decision support of distribution transformer placement in a low-voltage grid. The study starts with the model formulation by taking the level of customer satisfaction, transformer installation cost, and energy loss into consideration. It is followed by the application of flower pollination algorithm such that the site decision...
This paper presents a system dynamic modeling technique for reliability centered maintenance (RCM). It provides a simulation model to analyze the impact of maintenance strategies such as preventive and corrective maintenance on system availability. Also, maintenance cost is associated with the model to have an optimization view for a manufacturing system. As a result, the optimal decisions can be...
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