Abstract
Wind power is the fastest growing renewable power source worldwide. The maximization of its deployment in a given network has to consider the inherent variability of the resource while strategically minimizing potential drawbacks and fulfilling technical requirements. In this work, a steady-state analysis considering the assessment of energy exports to the grid, losses and short-circuit levels is proposed, while taking into account time-varying loads and generation, and satisfying voltage and thermal limits. A multiobjective programming approach, based on the nondominated sorting genetic algorithm (NSGA), has been developed to find a set of optimal connection points for such purpose. The approach has been applied to a medium voltage distribution network considering hourly demand and wind profiles for part of the United Kingdom.
Original language | English |
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Title of host publication | 19th International Conference on Electricity Distribution CIRED 2007 |
Pages | 1-4 |
Number of pages | 4 |
Publication status | Published - May 2007 |
Event | 19th International Conference on Electricity Distribution CIRED 2007 - Duration: 21 May 2007 → 24 May 2007 |
Conference
Conference | 19th International Conference on Electricity Distribution CIRED 2007 |
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Period | 21/05/07 → 24/05/07 |