Abstract
Wind power is one of the most established renewable power resources yet it is also one of the most volatile resources. This poses a key challenge for successfully integrating wind power at a large scale into the power grid. Here we present an analysis of the time scales associated with wind power from hourly to seasonal fluctuations and how combining spatially distributed wind power sources helps to reduce its volatility. The analysis, based on observed wind speeds, is then generalised in a simple statistical model to develop a tool which can estimate the power output profile from a particular consortium of wind power sources. As the estimator only uses the local, or the mean national, wind resource and the mean distance between the sites to estimate the joint power output profile, it can be used by developers to estimate the reliability of their joint power output and to form the most effective consortium.
| Original language | English |
|---|---|
| Pages (from-to) | 101-120 |
| Number of pages | 20 |
| Journal | AIMS Energy |
| Volume | 3 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2015 |
Keywords
- wind energy resource
- wind power production
- regional aggregation
- Virtual Power Plant
Access to Document
- Accepted Manuscript
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Wolf-Gerrit Fruh
- School of Engineering & Physical Sciences - Associate Professor
- School of Engineering & Physical Sciences, Institute of Mechanical, Process & Energy Engineering - Associate Professor
Person: Academic (Research & Teaching)