Affine control policies for renewable integration |
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Student(en): Hohl, Christian |
Betreuer: Warrington Joe |
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Beschreibung: Recent work at IfA has successfully formulated the use of affine control policies (also known as linear decision rules) for operating power system reserves. Affine policies are rules that determine how power system entities such as generators, storage units, or flexible loads, should respond to errors in the prediction of renewable energy infeed or loads, so that power production continues to match consumption. These rules are set by solving a convex optimization problem before the error is actually known, using the properties of the error pdf. This can lead to potentially great cost savings in operating power system reserves compared to existing mechanisms, which do not make rigorous use of predictions. This is encouraging because high reserve (backup generation) costs are perhaps the largest downside of intermittent renewables. In this project, we wish to analyse for the first time the benefits of such policies on a more realistic network by formulating a large benchmark problem and evaluating cost savings under different affine policy schemes. The project will also look at the computational aspects of determining the decision rules on large scale grids. Weitere Informationen |
Professor: Manfred Morari |
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Projektcharakteristik: Typ: Art der Arbeit: 40% Theoretical, 60% Computational Voraussetzungen: An optimization course. Knowledge of power systems is useful but not essential. | |
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Anzahl StudentInnen: 1 Status: taken | |
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Projektstart: HS 2012 Semester: HS 2012 | |
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