Optimal Active Power Control Of Wind Turbines For Grid Stability Support
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Optimal active power control of wind turbines for grid stability support
Author: Bashar Mousa Melhem
language: en
Publisher: Logos Verlag Berlin GmbH
Release Date: 2025-03-07
This dissertation addresses the critical challenge of grid frequency stability in the context of increasing reliance on renewable energy sources, particularly wind power. As the integration of wind turbines into power systems grows, ensuring their effective contribution to frequency regulation becomes essential. This research proposes a novel approach that employs data-enabled predictive control to enhance the frequency control of the future heterogeneous power grid and hence improve the overall grid stability. The study begins with a comprehensive analysis of the dynamic interactions between wind turbines and the power grid, identifying key factors that impact frequency control. A predictive control framework is developed to anticipate grid frequency fluctuations and optimize turbine responses. Through rigorous simulations and practical case studies, the author demonstrates the effectiveness of the proposed strategies in mitigating frequency deviations and improving overall system resilience. The findings highlight that data-enabled control not only enhances the responsiveness of wind turbines, among other generating units, to frequency support but also contributes significantly to a more stable and reliable power grid.
Optimal Control of Wind Energy Systems
Author: Iulian Munteanu
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-02-05
Optimal Control of Wind Energy Systems is a thorough review of the main control issues in wind power generation, covering many industrial application problems. A series of control techniques are analyzed and compared, starting with the classical ones, like PI control and gain-scheduling techniques, and continuing with some modern ones: sliding mode techniques, feedback linearization control and robust control. Discussion is directed at identifying the benefits of a global dynamic optimization approach to wind power systems. The main results are presented and illustrated by case studies and MATLAB®/Simulink® simulation. The corresponding programmes and block diagrams can be downloaded from the book’s page at springer.com. For some of the case studies presented, real-time simulation results are available. Control engineers, researchers and graduate students interested in learning and applying systematic optimization procedures to wind power systems will find this a most useful guide to the field.
Digital Self-tuning Controllers
Author: Vladimír Bobál
language: en
Publisher: Springer Science & Business Media
Release Date: 2005-05-19
Practical emphasis to teach students to use the powerful ideas of adaptive control in real applications Custom-made Matlab® functionality to facilitate the design and construction of self-tuning controllers for different processes and systems Examples, tutorial exercises and clearly laid-out flowcharts and formulae to make the subject simple to follow for students and to help tutors with class preparation