Battery cabinet buying and selling price algorithm formula

Can a supervised actor-critic algorithm optimally bid the energy of a battery?

In this paper, we develop a Supervised Actor-Critic algorithm to optimally bid the energy of a price-maker grid-scale battery on the electricity market. In addition, we use a shield as well as a penalty term in the reward to avoid dangerous actions.

How do optimal bidding algorithms affect the clearing price?

Several papers explore optimal bidding algorithms on the electricity market when bids influence the clearing price, i.e. the market player is a price-maker. Some relevant examples include the following: Oren et al. computed the optimal bidding strategy with dynamic programming by estimating other market players.

Is a battery a price-taker in the ancillary services market?

J. Arteaga et al. develop a robust and stochastic optimization for the bidding on the Real-Time and Day-Ahead market in which the battery is a price-taker. They also study participation in the ancillary services market where the storage system is price-maker due to the battery efficiency in ramping up and down under emergency.

Can adaptive control optimize the bidding strategy of a price-maker agent?

The current work explores the use of adaptive control for optimizing the bidding strategy of a price-maker agent participating in a regular wholesale market. Several papers explore optimal bidding algorithms on the electricity market when bids influence the clearing price, i.e. the market player is a price-maker.