Economic Consequences of Alternative Solution Methods for Centralized Unit Commitment in Day-Ahead Electricity Markets
By Ramteen Sioshansi, Richard O'Neill, Shmuel S. Oren. IEEE Transactions on Power Systems, 2008
128 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/ea842e273db538a06921040b5f099ee9226f5871
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Shmuel S. Oren
- Kory W. Hedman
- Antonio J. Conejo
- Richard P. O'Neill
- Carlos Ruiz
- Emily Fisher
- Aidan Tuohy
- Mark J. O'Malley
Citations in the corpus
- Optimal transmission switching with contingency analysis (2009, result): “It is possible to have solutions that have very similar objective values but have drastically different outcomes for individual market participants, which is consistent with what is discussed in [ 29 ] for generation unit commitment methods.”
- Pricing Non-Convexities in an Electricity Pool (2012, background): “In the same vein, [14] shows that the adoption of branch-and-bound algorithms may entail the same efficiency issues.”
- Tight Mixed Integer Linear Programming Formulations for the Unit Commitment Problem (2012, background): “From a fairness perspective, this is important in competitive markets as two near-optimal solutions can produce considerably different payments to generator owners [9].”
- A new MILP based approach for unit commitment in power production planning (2013, background): “As sta ted in [2], only if problems are solved to optimality can one guar antee that units will receive their optimal dispatch and pay-off Therefore, the design and development of optimisation technique that provide optimal results to unit commitment problems are o crucial importance.”
- Pumped storage in systems with very high wind penetration (2011, background): “The work done in O’Neill et al. (2005), Sioshansi et al. (2008) and Sioshansi et al. (2009) has shown that in markets where there are non-convexities that cannot be priced properly, as would be the case with storage, then the welfaremaximising benefits of storage may not be fully realised.”
- Optimal Transmission Switching—Sensitivity Analysis and Extensions (2008, result): “An important finding of this paper, and one that is consistent with [ 8 ], is that nodal prices can vary dramatically between topologies, even topologies that have similar system costs.”