Content area

Abstract

Issue Title: Special Issue on Challenges and opportunities for optimization in electricity systems

Harrington et al. (Math Program Ser B 104:407-435, 2005 ) introduced a general framework for modeling tacit collusion in which producing firms collectively maximize the Nash bargaining objective function, subject to incentive compatibility constraints. This work extends that collusion model to the setting of a competitive pool-based electricity market operated by an independent system operator. The extension has two features. First, the locationally distinct markets in which firms compete are connected by transmission lines. Capacity limits of the transmission lines, together with the laws of physics that guide the flow of electricity, may alter firms' strategic behavior. Second, in addition to electricity power producers, other market participants, including system operators and power marketers, play important roles in a competitive electricity market. The new players are included in the model in order to better represent real-world markets, and this inclusion will impact power producers' strategic behavior as well. The resulting model is a mathematical program with equilibrium constraints (MPEC). Properties of the specific MPEC are discussed and numerical examples illustrating the impacts of transmission congestion in a collusive game are presented.[PUBLICATION ABSTRACT]

Details

Title
Tacit collusion games in pool-based electricity markets under transmission constraints
Author
Liu, Andrew L; Hobbs, Benjamin F
Pages
351-379
Publication year
2013
Publication date
Sep 2013
Publisher
Springer Nature B.V.
ISSN
00255610
e-ISSN
14364646
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1437177283
Copyright
Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society 2013