Scenario Reduction for Futures Market Trading in Electricity Markets

By Juan M. Morales, Salvador Pineda, Antonio J. Conejo, Miguel Carrión. IEEE Transactions on Power Systems, 2009

276 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/9b3b6995076706a4b21a2eebe8548fc9726cba39

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In Electrical and Electronic Engineering

In Management Science and Operations Research

Citations in the corpus

Robust Energy Management of Microgrid With Uncertain Renewable Generation and Load (2016, background): “, are already used in electricity market trading and other power-related fields [16].”
Optimal Bidding Strategy for Microgrids Considering Renewable Energy and Building Thermal Dynamics (2014, background): “Modeling the correlation among the uncertain parameters [63]–[65] is beyond the”
Decision making under uncertainty in energy systems: state of the art (2013, background): “The purpose is to select a small set, ΩS, with the cardinality of NΩS , from the original set, ΩJ [11].”
A Bilevel Approach to Transmission Expansion Planning Within a Market Environment (2009, background): “However, the generation of an appropriate set of scenarios and its subsequent reduction keeping as much as possible the stochastic information contained in the original set is beyond the scope of this paper; the interested reader can find appropriated information in [26].”
Finding Equilibria in the Pool-Based Electricity Market With Strategic Wind Power Producers and Network Constraints (2017, methodology): “Then the scenario reduction method [25] is applied to reduce the number of scenarios.”
Optimal bidding strategy of a strategic wind power producer in the short-term market (2015, methodology): “The method to generate a large number of scenarios for random variables and then reduce them to a sufficiently small number of scenarios has been explained in [26].”
Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network (2013, methodology): “Morales et al. (2009a) propose a variant of the scenario reduction algorithm of Heitsch and Römisch (2003) that removes the scenarios that cause the least change in the second-stage costs of the optimization problem.”
A Fast Solution Method for Stochastic Transmission Expansion Planning (2017, methodology): “FSA is a widely used scenario reduction method, which can generate reduced sets that perform well in practice [13].”
Pool Strategy of a Producer With Endogenous Formation of Locational Marginal Prices (2009, background): “However, the generation of an appropriate set of scenarios and its subsequent reduction keeping as much as possible the stochastic information contained in the original set is beyond the scope of this paper; the interested reader can find appropriated information in [20].”