Bidding for battery energy storage stations

How effective is the bidding strategy of energy storage power station?

The bidding strategy of energy storage power station formulated in most papers relies on the day-ahead predicted price and regulation demand, and the effectiveness of the bidding strategy is based on the premise that day-ahead forecast is accurate [9, 10, 11].

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 bidding strategy of Bess in frequency regulation market?

Aiming at the multi-time scale clearing mechanism of the actual frequency regulation market, this paper divides the bidding strategy of BESSs to participate in the frequency regulation market into two stages: day ahead market (DAM) and real time market (RTM). The remainder of this article is organized as follows.

What is a battery energy storage power station (Bess)?

In recent years, battery energy storages stations (BESSs) account for the largest proportion in large-scale energy storage power station projects due to its advantages such as rapid response, high integrated power, decreasing cost year by year and short construction cycle.

What is the bidding strategy of Bess in dam & RTM?

Flow chart of bidding strategy of BESS in DAM and RTM Usually, the lower limit of the price declaration stipulated by the electricity market is zero or even negative, which provides the opportunity for the power generators participating in the market to take risks.

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.