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Modelling of bidding strategies on the day-ahead electricity market

Risquez Martin, Arnau (2019) Modelling of bidding strategies on the day-ahead electricity market. Master's, KTH Royal Institute of Technology.

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Electricity generation coming from variable renewable energy sources is and has been increasing significantly. Because of the unpredictability attached to their behavior, fossil fuel power plants and other renewables have to offer a higher degree of flexibility compared to the past. In Germany, one of the countries with a greater involvement in renewable energy generation, the share of renewable energy sources has grown from 14.6% in 2012 to a 29.2% in 2018. Consequently, fossil fuel power plants are forced into more start up and down operations, making cycling costs higher. This thesis, under the project of improving the agent-based simulation of the DLR's Institute of Engineering Thermodynamics of Stuttgart, AMIRIS, contributes to the assessment of cycling costs in the bidding of power point operators by creating new bidding strategies for AMIRIS that cover the aforementioned cycling cost. These strategies are designed with the overall objective of maximizing the power plant operator's profit. The new designed bidding strategies are first implemented in a Python simulation before being introduced in the agent-based environment. Consequently, results of both simulations are presented in this report, always paying close attention to the comparison between bidding with these new strategies and bidding under short term marginal cost. In AMIRIS, when applying these new strategies to a very small part of the power plant park, the day-ahead electricity market clearing is almost identical, and these new bidding strategies yield higher profit to the power plant operator than bidding under short term marginal cost. On the contrary, when applying these new designed bidding strategies to the whole power plant park, the marginal clearing price suffers greatly from non-accounted interaction between the operators bidding and its impact on the clearing of the market.

Item URL in elib:https://elib.dlr.de/129464/
Document Type:Thesis (Master's)
Title:Modelling of bidding strategies on the day-ahead electricity market
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Risquez Martin, ArnauArnau.RisquezMartin (at) dlr.deUNSPECIFIED
Date:October 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Number of Pages:82
Keywords:electricity market bidding strategy conventional power plant cycling cost
Institution:KTH Royal Institute of Technology
Department:School of Electrical Engineering and Computer Science
HGF - Research field:Energy
HGF - Program:Technology, Innovation and Society
HGF - Program Themes:Renewable Energy and Material Resources for Sustainable Futures - Integrating at Different Scales
DLR - Research area:Energy
DLR - Program:E SY - Energy Systems Analysis
DLR - Research theme (Project):E - Systems Analysis and Technology Assessment (old)
Location: Stuttgart
Institutes and Institutions:Institute of Engineering Thermodynamics > Energy Systems Analysis
Deposited By: Schimeczek, Christoph
Deposited On:11 Oct 2019 14:15
Last Modified:10 Feb 2020 11:36

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