Abstract
Increasing interest in integrating wind energy, as one of the promising renewable sources, has led to an increase in the uncertainty of power system operation. Probabilistic models are thus necessary to assess the performance of power systems with considerable amounts of wind generation. This paper presents a probabilistic technique for assessing the impact of wind farm location on the penetration level of the wind generation and real-time electricity market prices.
| Original language | British English |
|---|---|
| Title of host publication | Canadian Conference on Electrical and Computer Engineering |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479930999 |
| DOIs | |
| State | Published - 17 Sep 2014 |
| Event | 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014 - Toronto, Canada Duration: 4 May 2014 → 7 May 2014 |
Publication series
| Name | Canadian Conference on Electrical and Computer Engineering |
|---|---|
| ISSN (Print) | 0840-7789 |
Conference
| Conference | 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014 |
|---|---|
| Country/Territory | Canada |
| City | Toronto |
| Period | 4/05/14 → 7/05/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- electricity market prices
- penetration level
- probabilistic models
- wind energy
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