Derivation of Intertemporal Targets for Large Pumped Hydro Energy Storage With Stochastic Optimization

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TY  - JOUR
  - Deane, J.P.; McKeogh, E.J.; Ó Gallachóir, B.P.
  - 2013
  - January
  - IEEE Transactions On Power Systems
  - Derivation of Intertemporal Targets for Large Pumped Hydro Energy Storage With Stochastic Optimization
  - Published
  - ()
  - 28
  - 3
  - 2147
  - 2155
  - This paper models large pumped hydro energy storage in a future power system where variable generation, primarily in the form of wind generation, is the dominant source of power generation. The research question posed is how to formulate day-ahead and week-ahead reservoir targets for pumped hydro energy storage in the context of wind forecast uncertainty. The innovation in the work is the use of historical wind data series and wind forecasts to derive a management strategy for the operation of large PHES using stochastic optimization that outperforms current methods in power systems with significant wind generation. This approach derives intertemporal targets for large pumped hydro energy storage that reduce overall system costs when compared to targets derived using a conventional method.
  - http://dx.doi.org/10.1109/TPWRS.2012.2236111
DA  - 2013/01
ER  - 
@article{V214208361,
   = {Deane, J.P. and  McKeogh, E.J. and  Ó Gallachóir, B.P.},
   = {2013},
   = {January},
   = {IEEE Transactions On Power Systems},
   = {Derivation of Intertemporal Targets for Large Pumped Hydro Energy Storage With Stochastic Optimization},
   = {Published},
   = {()},
   = {28},
   = {3},
  pages = {2147--2155},
   = {{This paper models large pumped hydro energy storage in a future power system where variable generation, primarily in the form of wind generation, is the dominant source of power generation. The research question posed is how to formulate day-ahead and week-ahead reservoir targets for pumped hydro energy storage in the context of wind forecast uncertainty. The innovation in the work is the use of historical wind data series and wind forecasts to derive a management strategy for the operation of large PHES using stochastic optimization that outperforms current methods in power systems with significant wind generation. This approach derives intertemporal targets for large pumped hydro energy storage that reduce overall system costs when compared to targets derived using a conventional method.}},
   = {http://dx.doi.org/10.1109/TPWRS.2012.2236111},
  source = {IRIS}
}
AUTHORSDeane, J.P.; McKeogh, E.J.; Ó Gallachóir, B.P.
YEAR2013
MONTHJanuary
JOURNAL_CODEIEEE Transactions On Power Systems
TITLEDerivation of Intertemporal Targets for Large Pumped Hydro Energy Storage With Stochastic Optimization
STATUSPublished
TIMES_CITED()
SEARCH_KEYWORD
VOLUME28
ISSUE3
START_PAGE2147
END_PAGE2155
ABSTRACTThis paper models large pumped hydro energy storage in a future power system where variable generation, primarily in the form of wind generation, is the dominant source of power generation. The research question posed is how to formulate day-ahead and week-ahead reservoir targets for pumped hydro energy storage in the context of wind forecast uncertainty. The innovation in the work is the use of historical wind data series and wind forecasts to derive a management strategy for the operation of large PHES using stochastic optimization that outperforms current methods in power systems with significant wind generation. This approach derives intertemporal targets for large pumped hydro energy storage that reduce overall system costs when compared to targets derived using a conventional method.
PUBLISHER_LOCATION
ISBN_ISSN
EDITION
URL
DOI_LINKhttp://dx.doi.org/10.1109/TPWRS.2012.2236111
FUNDING_BODY
GRANT_DETAILS