Winning the bid for power grid battery monitoring

According to provisional auction results released by NGESO, almost half of the winning battery projects propose one-hour duration systems, while about 40% are for two-hour facilities. The list of winning schemes includes Zenobe, Gresham House, Harmony Energy, Pivot Power and SUSI Storage, among others.

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].

Energy storage facility, UK. Image by Harmony Energy. Battery energy storage projects totalling 627.4 MW have secured contracts in the UK's 2023-24 Capacity Market auction, representing an increase of more than 60% compared to the previous round, the National Grid Electricity System Operator (NGESO) announced last week.

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.

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.

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.