What is the proposed bidding strategy?
The proposed bidding strategy considers both energy market and regulation market, which shows flexibility to the uncertain bidding environments. The proposed algorithm is an individual profit maximisation bidding strategy, which can help the BESS owner optimise its bidding strategy to obtain highest bidding revenue without rivals information.
What is the proposed bidding strategy of Bess owners?
The proposed bidding strategy of BESS owners considers both energy market and regulation market, which shows flexibility to the uncertain bidding environments, such as prior knowledge of other rivals and dynamics of the system operator.
Can network-flow models be used for battery energy storage bidding?
The final case studies for the proposed models are implemented based on the real-world data and the results show the advantages of our developed innovative network-flow model for the battery energy storage bidding, through both one-time and rolling-horizon validations. References is not available for this document.
Could the Bess bidding problem be a more accurate and profitable bidding strategy?
Based on the proposed model, the BESS could obtain a more accurate and profitable bidding strategy. 1. The BESS bidding problem is modelled as an MDP framework for learning the optimised bidding policy to increase the welfare of BESS in energy and regulation markets.
Does a Markovian based bidding model determine the optimised bidding strategy?
Therefore, this paper proposes a novel Markovian based bidding model that decides the optimised bidding strategy of the BESS in day-ahead energy and regulation markets, considering the charging/discharging losses and the ageing cost of the BESS.
What is the Bess bidding problem?
The BESS bidding problem is modelled as an MDP framework for learning the optimised bidding policy to increase the welfare of BESS in energy and regulation markets. The model has been delicately designed, especially considering the losses during the power transfer and the ageing cost of the BESS. 2.
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