arXiv subjects

Octavian Prostean

Publications and source records attributed to Octavian Prostean.

9 recordsLinked to original sources

arXiv2018

Above Modelling and Adaptive Control of a Double Winded Induction Generator

The paper deals with the modelling and control of a double winded induction generator. The controlled process is an induction generator with distinct excitation winding. At the generator terminal is connected a load (electrical consumer). There are presented the results obtained by using a minimum variance adaptive control system. The main goal of the control structure is to keep the generator output (terminal voltage) constant by controlling the excitation voltage from the distinct winding. The study cases in the paper are for the validation of the reduced order model of induction generator (5th order model) used only to design the adaptive controller. There is also validated the control structure. There were considered variations of the mechanical torque.

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arXiv2018

Wind Energy Conversion System - a Laboratory Setup

This paper presents a laboratory setup usable for the design and testing of a Wind Energy Conversion System respectively their control solutions. The stand can be used for research or in the engineering educational system offering the possibility of studying the behavior of wind energy conversion systems, including testing of some adequate control techniques, allowing the transition from simple simulations on the computer to practical functional tests, much closer to the reality of the site. The stand architecture is based on a hardware platform integrating electrical machines, control equipment, power devices, sensors, computing systems and appropriate software, all allowing one flexible configuration to test a multitude of scenarios specific to the wind energy domain. The wind turbine is emulated using an asynchronous motor with direct torque control based on rotating speed measurement. The controlled torque is applied to a synchronous generator and the output power is injected into the grid.

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arXiv2018

Considerations Regarding the Modelling of Wind Energy Conversion Systems

The above paper presents some considerations regarding the modelling of wind energy conversion systems (WECS). There are presented practical problems of grid integration of wind turbines, the usage of general system models, respectively of RMS (root mean squares) models. There are presented models of some WECS components and related, such as: a probabilistic 2D model for instantaneous wind velocities, aerodynamic model of wind turbine, rotating inertia model, asynchronous machine model, grid model. This paper only presents models used in different WECS, models that can be easily simulated with adequate simulation tools such as Matlab-Simulink.

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arXiv2018

Mathematical Models of Specific Elements of Wind Energy Conversion Systems Based on Induction Generator

In the complex case of wind energy conversion systems (WECS) analysis and synthesis, the mathematical models of each component element are required. In the paper are presented some contributions to preset values establishing strategies and models of specific elements: rotation speed and voltage preset values establishing strategies, a simplified fixed blade wind turbine model, the induction generator squirrel rotor induction generator Park mathematical model, specific to current frequency converter supplier use, current frequency converter inverter model. The presented models are used for WECS analysis in its specific transient regimes as well for its controller design.

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arXiv2018

Scheduling Intelligent System for Time Shortening

The paper presents a scheduling intelligent system intended for the project management and for the operation management as well, having integrated a planner time buffer method combined with the PERT (Programme Evaluation and Review Technique) method which can drastically short the planned time. The system also adjusts if necessary the duration for the un-expecting situations during the evolution of the planner recalculating the probability to reach the deadline. The system is developed with a friendly graphical interface, which guide the user during the progress of the project providing warnings and suggestions for adjusting in real time the planner. Once the scheduling intelligent system is launched in progress, its functions are combined at the different levels, depending of the user needs. The base functions of the system are: planning, diagnosis, supervising and forecast. A real implementation is showed as a study case, is related to a software development planner.

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arXiv2018

A comparative study above two self-tuning controllers with application to the control of synchronous generator excitation system

This paper presents two self-tuning control structures synthesized through the minimization of two criterion functions. It is described the computation methodology of the control laws, both being particularized for the case of the synchronous generator's excitation control. The parameters estimator is considered the recursive least square error (RLSE) algorithm. In order to validate the considered control structures, two comparative study cases by computer simulation are presented.

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arXiv2018

Considerations Regarding the Flux Estimation in Induction Generator with Application at the Control of Unconventional Energetic Conversion Systems

The paper presents issues regarding the flux estimation of induction machines. The electrical machines variables estimation represents a major problem in the actual context of modern control approaches, especially of sensorless control strategies. There are considered several implementations of induction machine flux estimators by using the Matlab-Simulink environment and there are drawn the afferent conclusions.

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arXiv2018

Adaptive Fuzzy Controller for Synchronous Generator

This paper describes a PI fuzzy adaptive control structure. Based on classical PI fuzzy control structure (with integration on controller output) the authors have developed, implemented and validated an on-line self-tuning mechanism of regulator parameter. A study case for validation of proposed tuning mechanism is presented and analyzed with application to control of synchronous generator excitation system.

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arXiv2018

Electrical energy prediction study case based on neural networks

This paper presents some considerations regarding the prediction of the electrical energy consumption. It is well known that the central element of a microeconomic analysis is represented by the economical agents actions, actions that follow their own interest such as: the consumer maximization of his satisfaction, the producer maximization of his profit. The study case is focused on the prediction of the sold energy in Banat region. The goal of this study case is to optimize the electrical energy quantity purchased from the producer by the energy distributor in Banat region. The prediction is based on neural networks. There are used feed-forward and Elman type neural networks. In order to enhance the prediction accuracy there have been used both linear and nonlinear preprocessing units. The aspects considered in this paper can be extrapolated in any general case of prediction based application, not only in the already stated case of electrical energy.

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