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Maritimes Area Wind Integration Study

Authors: Scott Brown; William K. Marshall;

Maritimes Area Wind Integration Study

Abstract

Integration of large quantities of wind generation into existing power systems is a topic of concern and much study throughout the world. The New Brunswick System Operator completed a preliminary study of integration issues in the summer of 2005 for large scale wind development in the Maritimes Area of northeast North America. The study simulates wind projects using a one year history of wind speed data collected at eight different sites. The simulated wind energy production is then modeled as negative load on the system, resulting in lower hourly load levels but higher hour-to-hour load variability. Lower hourly load levels are equated to an effective capacity for wind generation using a Loss of Load Expectation (LOLE) methodology, and this effective capacity is then compared to the more easily calculated capacity factor measurement. Work on capacity credit by capacity factor by capability period and time of day is ongoing. Increased load variability from wind generation is shown to result in additional load following costs for the Maritimes Area, but it is also observed that these additional costs can be mitigated by spreading out the wind capacity into several geographically dispersed sites. The final part of the study considers the benefits of having flexible hydroelectric generation resources to compensate for the intermittency of wind generation, and it identifies concerns related to the spring run-off in the region when hydroelectric generation is essentially base loaded and less flexible for load following.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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