Integration of fluctuating energy by electricity price control | Olivier Corradi, Henning Ochsenfeld
| | Abstract | Integration of fluctuating energy such as wind power becomes more and more essential in future energy systems. The reliance on it propagates risk and uncertainty to the whole electricity value chain, challenging existing market structures and balancing strategies. One solution is to take advantage of the flexibility of consumers. This is done by acting on devices having a high inertia which therefore can be turned off during a short period of time without impacting user comfort. In this thesis, the heating system of households is considered, represented by price-sensitive heat pumps. By reacting to a price signal, they automatically adjust their consumption in order to minimize energy costs. Such a price-responsive population of households is investigated through a combination of a real-life experiment and a simulation framework specially designed. The price-response is modelled and extracted, and its dependencies on system parameters are examined. In the light of a real-life implementation, a non-linear forecasting model is developed, requiring as data an aggregate metering of household consumptions, the associated price signal and weather forecasts. Adaptive estimation of the forecasting model is implemented, permitting the development of a predictive controller generating prices for the simulated households. The proof-of-concept is illustrated by following a constant consumption reference, yielding a reduction in peak consumption of nearly 5% and a mean daily consumption shift of 11%. | | Type | Master's thesis [Industrial collaboration] | | Year | 2011 | | Publisher | Technical University of Denmark, DTU Informatics, E-mail: reception@imm.dtu.dk | | Address | Asmussens Alle, Building 305, DK-2800 Kgs. Lyngby, Denmark | | Series | IMM-M.Sc.-2011-57 | | Note | Supervised by Professor Henrik Madsen, hm@imm.dtu.dk, DTU Informatics | | Electronic version(s) | [pdf] | | Publication link | http://www.imm.dtu.dk/English.aspx | | BibTeX data | [bibtex] | | IMM Group(s) | Mathematical Statistics |
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