Energy storage project bidding control

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].

Aiming at the multi time scale clearing mechanism in the frequency regulation market, this paper divides the bidding strategy of the BESS participating in the frequency regulation market into two stages: the day ahead market (DAM) and the real time market (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. Generators participating in bidding should choose different levels of risk aversion so as to develop different bidding strategies.

According to the analysis in Sect. 5.1, the most reliable bidding strategy for each BESS at this time is to declare its marginal cost curve as its supply function, so as to determine its own frequency regulation mileage quotation and capacity. Therefore, in this case, the five BESSs take their marginal costs as the declared supply function.

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.

The above case discusses the optimal bidding strategy of BESSs under low and high-risk aversion, which is based on the premise that other power generators are rational, that is, they declare the supply function curve according to their own marginal costs.