COORDINATED CONTROL OF WIND TURBINES
Authors
Banceanu, Cosmin-Eugen ; Vranceanu, Iulian
Term
4. term
Education
Publication year
2011
Abstract
Vindenergi er vokset hurtigt det seneste årti og er blevet en stærk konkurrent til traditionelle energikilder. Når vindparker kobles på elnettet i stor skala, stiller transmissionssystemoperatører (TSO’er) strenge netkoder, så vindparker forventes at opføre sig som konventionelle kraftværker. Denne afhandling udvikler en vindparkcontroller (WPP-controller), som opfylder de mest krævende europæiske netkoder fra ENTSOE og kan styre både vindmøller og hjælpeudstyr som STATCOM (et system, der leverer reaktiv effekt for spændingsstøtte). Afhandlingen undersøger også den optimale Q-rating – altså den reaktive effektkapacitet – for STATCOM, kondensatorbank og netside-konverter, baseret på tekniske og økonomiske analyser under forskellige scenarier. Derudover analyseres optimal dispatch (fordeling af produktion og støttefunktioner) for forskellige styringstilstande i vindparken (fx delta og balance) og forskellige mål (minimering af tab eller optimering af komponenters levetid). Til sidst implementeres en konventionel power flow-beregning for at kunne benchmarke den optimale power flow.
Wind energy has grown rapidly over the past decade and is now a strong competitor to traditional energy sources. As wind power reaches high levels on the grid, transmission system operators (TSOs) enforce strict grid codes, expecting wind power plants to behave like conventional power plants. This thesis develops a wind power plant (WPP) controller that meets demanding European grid code requirements defined by ENTSOE and coordinates both wind turbines and ancillary devices such as a STATCOM (a system that supplies reactive power for voltage support). The thesis also examines the optimal Q rating—meaning the reactive power capacity—for the STATCOM, capacitor bank, and grid-side converter, using technical and economic analysis under different scenarios. Furthermore, it analyzes optimal dispatch (how power and support functions are allocated) for different WPP control modes (e.g., delta and balance) and different objectives (minimizing losses or optimizing component lifetime). Finally, a conventional power flow calculation is implemented to benchmark the optimal power flow.
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