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A master's thesis from Aalborg University
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Wind Power Emulator for Energy Storage

Author

Term

4. term

Publication year

2010

Submitted on

Pages

78

Abstract

Vindkraft vokser hurtigt i både installeret kapacitet og andel af elforsyningen. Med støtte fra regeringer investerer forsyningsselskaber i vind. Når vind bliver en væsentlig del af elnettet, opstår der nye udfordringer for netstyring og stabilitet, fordi vind er stokastisk (delvist tilfældig) og derfor giver svingende, intermittent produktion. Energilagring kan afhjælpe mange af disse problemer: Sammen med vind kan lagring udjævne store udsving, filtrere korte, kraftige toppe fra turbulent vind og reducere afvigelser fra gennemsnittet, hvilket forbedrer elkvaliteten (mere stabil og ensartet strøm). Dette projekt: (1) analyserer vindens variationer på korte og lange tidsskalaer; (2) udvikler en vindmodel, der genererer realistiske, områdespecifikke vindhastighedsmønstre i tråd med lokale karakteristika; og (3) implementerer en model af en vindmølle.

Wind power is growing rapidly in installed capacity and its share of electricity supply. With government support, utility companies are investing more in wind. As wind becomes a significant part of the grid, it brings new challenges for management and stability, because wind is stochastic (partly random) and thus produces variable, intermittent output. Energy storage can address many of these issues: Combined with wind, storage can smooth large swings, filter short, sharp peaks from turbulent winds, and reduce deviations from average output, improving power quality (more stable, consistent electricity). This project: (1) analyzes wind variability across short and long timescales; (2) develops a wind model that generates realistic, area-specific wind speed patterns consistent with local characteristics; and (3) implements a wind turbine model.

[This abstract was generated with the help of AI]