Bidding Strategy of Battery Energy Storage Power Station
As an important part of high-proportion renewable energy power system, battery energy storage station (BESS) has gradually participated in the frequency regulation market
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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].
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.
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.
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.