Impact of High Levels of Wind Penetration on the Exercise of Market Power in the Multi-Area Systems

Doctoral Thesis (2017)
Author(s)

Ekaterina Moiseeva (TU Delft - Energy and Industry)

Contributor(s)

M.R. Hesamzadeh – Promotor (KTH Royal Institute of Technology)

L. Söder – Copromotor (KTH Royal Institute of Technology)

S. Wogrin – Copromotor (Universidad Pontificia Comillas)

Research Group
Energy and Industry
Copyright
© 2017 E. Moiseeva
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 E. Moiseeva
Research Group
Energy and Industry
Bibliographical Note
The doctoral research has been carried out in the context of an agreement on joint doctoral supervision (SETS) between Comillas Pontifical University, Madrid, Spain, KTH Royal Institute of Technology, Stockholm, Sweden and Delft University of Technology, the Netherlands.@en
ISBN (print)
978-91-7729-434-4
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

New European energy policies have set a goal of a high share of renewable energy in electricity markets. In the presence of high levels of renewable generation, and especially wind, there is more uncertainty in the supply. It is natural, that volatility in energy production induces the volatility in energy prices. This can create incentives for the generators to exercise market power by traditional means: withholding the output by conventional generators, bidding not the true marginal costs, or using locational market power. In addition, a new type of market power has been recently observed: exercise of market power on ramp rate.
This dissertation focuses on modeling the exercise of market power in power systems with high penetration of wind power. The models consider a single, or multiple profit-maximizing generators. Flexibility is identified as one of the major issues in wind-integrated power systems. Therefore, part of the research studies the behavior of strategic hydropower producers as main providers of flexibility in systems, where hydropower is available.
Developed models are formulated as mathematical and equilibrium problems with equilibrium constraints (MPECs and EPECs). The models are recast as mixed-integer linear programs (MILPs) using discretization. Resulting MILPs can be solved directly by commercially-available MILP solvers, or by applying decomposition. Proposed Modified Benders Decomposition Algorithm (MBDA) significantly improves the computational efficiency.

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