Conference paper
Minimizing Variance in Variable Renewable Energy Generation in Northern Europe
The growing installations of variable renewable energy (VRE) sources, which are driven by weather patterns, can cause challenges to the operation and planning of power systems. This paper minimizes the variance of aggregate VRE generation based on the amount of different VRE technology types installed in different countries over a large geographical area.
A mixture of offshore and onshore wind, and solar photovoltaic generation is considered. In the presented case study in Northern Europe, the optimized scenario provides a doubling of the expected annual VRE energy with a much lower increase in the aggregate VRE generation variability compared to other scenarios.
The optimized scenario shows clearly the benefit of having a mixture of different VRE technologies with geographically highly spread installations.
Language: | English |
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Publisher: | IEEE |
Year: | 2018 |
Pages: | 1-6 |
Proceedings: | 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems |
ISBN: | 153863595X , 1538635968 , 1538635976 , 9781538635957 , 9781538635964 and 9781538635971 |
Types: | Conference paper |
DOI: | 10.1109/PMAPS.2018.8440369 |
ORCIDs: | Koivisto, Matti Juhani and Cutululis, Nicolaos Antonio |
Aggregates Correlation Europe Minimization Northern Europe VRE technology types Wind Wind energy aggregate VRE generation variability expected annual VRE energy geographical area minimisation offshore installations offshore wind onshore wind photovoltaic power systems power generation planning power grids power system operation power system planning solar photovoltaic generation solar power solar power stations variable renewable energy generation variable renewable energy sources variance minimization weather patterns wind power wind power plants