Network-Constrained Multiperiod Auction for a Pool-Based Electricity Market

By A. Motto, Francisco D. Galiana, Antonio J. Conejo, J. M. Arroyo. IEEE Power Engineering Review, 2002

169 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/c1f9800e5712caa3f491729e4348d9c2851bc56d

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In Electrical and Electronic Engineering

In Management Science and Operations Research

Citations in the corpus

Unit Commitment With Continuous-Time Generation and Ramping Trajectory Models (2016, methodology): “An efficient formulation for the day-ahead UC problem, proposed in [2], [3], is an instance of mixed-integer linear programming (MILP) in which the generation cost function and operating constraints, and the transmission DC power flow constraints are linear with respect to all decision variables.”
Economic Valuation of Reserves in Power Systems With High Penetration of Wind Power (2009, methodology): “A linear representation of the network is considered, including a piecewise approximation for the active power losses [19].”
Optimal Transition to Plug-In Hybrid Electric Vehicles in Ontario, Canada, Considering the Electricity-Grid Limitations (2010, methodology): “Following the method proposed in [ 46 ], a linear approximation of power losses in year y can be obtained using L piecewise linear blocks as follows:”
Solving Multiperiod OPF Problems Using an AC-QP Algorithm Initialized With an SOCP Relaxation (2017, methodology): “Additionally, the DC OPF formulation is often used to approximate the AC OPF problem as a quadratic program [5]–[7].”
Optimal transmission switching with contingency analysis (2009, methodology): “For this study, we modified the RTS 96 system by incorporating the changes mentioned above from [30] and [ 31 ].”
Transmission Expansion Planning in Electricity Markets (2008, background): “Further details of this mixed-integer linear programming formulation can be found in [5], [17], and [18].”
Pricing Non-Convexities in an Electricity Pool (2012, methodology): “The pool-clearing model, based on [1], is formulated in the following as an MILP:”
Contingency-Constrained Reserve Requirements in Joint Energy and Ancillary Services Auction (2009, background): “A network-constrained multi-period auction model presented an electricity market auction tool that explicitly took into account transmission congestion and losses as well as inter-temporal operating constraints such as startup costs, ramp rates, and minimum on/off times of generators [11].”
Multimarket optimal bidding for a power producer (2005, background): “In turn, the market operator clears the market using a suitable market-clearing procedure [1], [2].”