2012
DOI: 10.1109/tpwrs.2011.2170439
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Equilibria in an Oligopolistic Electricity Pool With Stepwise Offer Curves

Abstract: We study the equilibria reached by strategic producers in a pool-based network-constrained electricity market. The behavior of each producer is modeled by a mathematical program with equilibrium constraints (MPEC) whose objective is maximizing profit and whose complementarity constraints describe market clearing. The joint solution of all these MPECs constitutes an equilibrium problem with equilibrium constraints (EPEC). The equilibria associated with the EPEC are analyzed by solving the strong stationarity co… Show more

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Cited by 183 publications
(105 citation statements)
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“…We now turn to the mathematical formulation; Table 2 lists selected important notation used in this work; the remaining sets, variables and parameters are introduced where necessary. Our approach follows the methodology developed by Ruiz et al (2012); we will discuss their approach and the extensions we introduce below, when we discuss the difficulties posed by multi-stage games.…”
mentioning
confidence: 99%
“…We now turn to the mathematical formulation; Table 2 lists selected important notation used in this work; the remaining sets, variables and parameters are introduced where necessary. Our approach follows the methodology developed by Ruiz et al (2012); we will discuss their approach and the extensions we introduce below, when we discuss the difficulties posed by multi-stage games.…”
mentioning
confidence: 99%
“…6) The Load-side entities (LSEs) submit bid prices for energy and curtailment (to be elastic) to the day-ahead and real market but not strategically [6,[25][26]. 7) A transmission network is neglected to be simple computation.…”
Section: )mentioning
confidence: 99%
“…Note that the values of and are selected by trial-and error approach [25]. To test validity of these values, the amounts of equations (4) and (65) must be identical.…”
Section: Milpmentioning
confidence: 99%
“…To use off-the-shelf solvers, it's necessary to convert the bilevel model (1)-(2) into a single level optimization problem by replacing the LL problem with its first order optimality condition. Because the LL problem appears to be a linear program (LP) when the tax rate is fixed, two options are available for this task: the KKT formulation and the primal-dual formulation [23,24]. In this paper, the former is adopted because the strong duality condition will be used to linearize the nonlinear objective function (1a) following the method presented in [21,25,26].…”
Section: Equivalent Single Level Problemmentioning
confidence: 99%
“…If M is too small, constraint (5) will impose smaller bounds to the original model [29]. In contrast, if M is too large, the resulting problem will be ill-condition and difficult to converge [24]. There is no universal method to select an appropriate value of M for an arbitrary model.…”
Section: Linearizing the Complementarity Constraintsmentioning
confidence: 99%