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].

Are battery energy storage systems a bi-level optimization challenge?

This study presents a novel methodology to address bi-level optimization challenges, specifically targeting Battery Energy Storage Systems (BESSs) in competitive energy and regulation reserve markets.

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 the frequency regulation market?

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).

Does a Bess bid only for power quantity?

However, the BESS submits bids for power quantity only, rather than the price-quantity pair permitted by current market regulations. Additionally, the study assumes that each power quantity bid by the BESS will be fully dispatched in the market clearing process, which may not apply to all electricity markets.

What is a joint energy-reserve procurement strategy?

Market operators use either sequential or joint energy-reserve procurement strategies. Joint markets clear energy and reserves simultaneously, accounting for interdependencies, using UC optimization at the unit level . Examples include U.S. markets such as PJM, CAISO, ERCOT, MISO, and NYISO , .