Modeling methods for GenCo bidding strategy optimization in the liberalized electricity spot market–A state-of-the-art review
The electricity market has since 1980s been gradually evolving from a monopoly market into
a liberalized one for encouraging competition and improving efficiency. This brings the …
a liberalized one for encouraging competition and improving efficiency. This brings the …
Comprehensive survey on support policies and optimal market participation of renewable energy
Energy demand in the world is mostly met by conventional sources that cause carbon
emissions. Considering environmental problems and the depletion of these sources in the …
emissions. Considering environmental problems and the depletion of these sources in the …
Putting renewable energy auctions into action–An agent-based model of onshore wind power auctions in Germany
V Anatolitis, M Welisch - Energy Policy, 2017 - Elsevier
The following analysis looks into auctions for renewable energy, specifically onshore wind
power in Germany. Following an agent-based modeling approach, the two most commonly …
power in Germany. Following an agent-based modeling approach, the two most commonly …
Optimal bidding strategy of wind power producers in pay-as-bid power markets
K Afshar, FS Ghiasvand, N Bigdeli - Renewable Energy, 2018 - Elsevier
This paper presents a method to determine the optimal bidding strategy of the wind power
producers with market power for a strategic presence in the day-ahead market with pay as …
producers with market power for a strategic presence in the day-ahead market with pay as …
A hybrid approach based on IGDT–MPSO method for optimal bidding strategy of price-taker generation station in day-ahead electricity market
This paper considers a price-taker generation station producer that participates in a day-
ahead market. The producer behaves as a price-taker participant in the day-ahead electricity …
ahead market. The producer behaves as a price-taker participant in the day-ahead electricity …
Supplier's optimal bidding strategy in electricity pay-as-bid auction: Comparison of the Q-learning and a model-based approach
M Rahimiyan, HR Mashhadi - Electric Power Systems Research, 2008 - Elsevier
In this paper, the bidding decision making problem in electricity pay-as-bid auction is studied
from a supplier's point of view. The bidding problem is a complicated task, because of …
from a supplier's point of view. The bidding problem is a complicated task, because of …
Impacts of previous revenues on bidding strategies in electricity market: A quantitative analysis
With the development of electricity markets, generation companies (GenCos) generally
participate in multiple markets at different time steps to earn profits. GenCos' previous …
participate in multiple markets at different time steps to earn profits. GenCos' previous …
An analytical approach to estimate structural and behavioral impact of renewable energy power plants on LMP
MJP Jaghargh, HR Mashhadi - Renewable Energy, 2021 - Elsevier
Implementation of renewable energy support policies in many countries for the sake of
energy security and climate change mitigation worldwide raises the importance of …
energy security and climate change mitigation worldwide raises the importance of …
Optimal risky bidding strategy for a generating company by self-organising hierarchical particle swarm optimisation
C Boonchuay, W Ongsakul - Energy Conversion and Management, 2011 - Elsevier
In this paper, an optimal risky bidding strategy for a generating company (GenCo) by self-
organising hierarchical particle swarm optimisation with time-varying acceleration …
organising hierarchical particle swarm optimisation with time-varying acceleration …
Security-constrained self-scheduling of generation companies in day-ahead electricity markets considering financial risk
N Amjady, V Vahidinasab - Energy conversion and management, 2013 - Elsevier
In this paper, a new security-constrained self-scheduling framework incorporating the
transmission flow limits in both steady state conditions and post-contingent states is …
transmission flow limits in both steady state conditions and post-contingent states is …