2015
DOI: 10.1109/tpwrs.2014.2356255
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Exercise of Market Power on Ramp Rate in Wind-Integrated Power Systems

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Cited by 77 publications
(41 citation statements)
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“…A disadvantage of the analytical approach is that finding the bounds on the variables becomes hard for large optimization problems. Alternatively, [56] and [57] rely on simulation techniques to find suitably large constants for their problems. In simulation techniques, these constants are varied over different ranges until the solution values are stable.…”
Section: A Determination Of Constant Mmentioning
confidence: 99%
“…A disadvantage of the analytical approach is that finding the bounds on the variables becomes hard for large optimization problems. Alternatively, [56] and [57] rely on simulation techniques to find suitably large constants for their problems. In simulation techniques, these constants are varied over different ranges until the solution values are stable.…”
Section: A Determination Of Constant Mmentioning
confidence: 99%
“…In certain situations companies can manipulate their bid on ramp-rate in order to maintain the production at a profit-maximizing level. The issue is explained in details in "Exercise of Market Power on Ramp Rate in Wind-Integrated Power Systems" (Moiseeva et al, 2014). 1) The summary of the most popular analytical methods and indices applied to the detection of Market Power.…”
Section: A) Withholdingmentioning
confidence: 99%
“…The detection method proposed in paper "Exercise of Market Power on Ramp Rate in Wind-Integrated Power Systems" is the full system gametheoretic modelling. However, this method requires the availability of the data to the system operator and precise modeling of the whole system in every point in time, which can be computationally problematic (Moiseeva et al, 2014).…”
Section: (See Appendix A)mentioning
confidence: 99%
“…Hence, the lower-level optimization can be replaced by its KKT conditions. 2 Following [22] and [23], the complementary slackness conditions are replaced by the strong duality condition. This leads to less number of constraints and binary variables in the …nal model.…”
Section: Aximizementioning
confidence: 99%