BESS Telecom Energy Storage New Energy Project Bidding

BESS can supply nearly 10 MVAr of reactive power by consuming a small amount of energy. Fig. 11 plots the SOC of BESS#7 in different case studies. In most periods during the next day, due to the highest price uncertainty and the owner's risk aversion policy, case study 1 has the highest SOC.

It is displayed in Fig. 14, at t = 4, BESS#15 sells 90 % of active power in the DAM and 10 % in the RTM; at t = 14, it sells 48 % of active power in the DAM and 52 % in the RTM, and at t = 22, it sells 62 % of active power in the DAM and 38 % in the RTM.

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.

However, the participation of BESS in the electricity market is constrained by its own state of charge (SOC). Due to the inability to accurately predict the next day's real-time SOC, the mismatch between bidding strategy and real-time scheduling is easy to occur.

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.

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).