Market power assessment and mitigation in hydrothermal systems

By R. Kelman, L. Barroso, M. Pereira. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195), 2001

144 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/19cebd4ecce9c2dfeae438326fb24ab2f58147f5

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Citations in the corpus

Optimal Bidding Strategies for Hydro-Electric Producers: A Literature Survey (2014, background): “[63] present the first Nash-Cournot model that determines an optimal hydro operations policy for two pricemaker hydro producers in amulti-stage, stochastic setting.”
Electricity market modeling trends (2005, methodology): “complementarity methods to solve realistically sized problems. Kelman et al. (2001) combine”
Stochastic Programming Models in Energy (2003, result): “A similar study by Kelman et al. (2001) reach the same conclusions as Scott and Read, namely that the more contracts the strategic generators have sold, the less incentive they have to withhold capacity in order to increase prices.”
Strategic bidding under uncertainty: a binary expansion approach (2005, methodology): “In order to address the concerns about the effects on the operation of hydro plants in cascade and market power, several analytical tools were developed, including a market simulator, a stochastic dynamic programming Nash equilibrium model [13] for hydro bidding, a model to simulate the competitive ”