Changes in bidding for electrochemical energy storage supervision

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].

How will the electricity market change the transaction organization process?

With the demand for and the development of the low-carbon , distributed energy, energy storage, demand response, and other diverse market participants will participate in the electricity market, which brings new changes to the transaction organization process of the electricity market.

What supervision measures are used in the foreign electricity market?

Secondly, the current supervision measures used in the foreign electricity market in the order of ex-ante, interim, and ex-post are reviewed and four common supervision indexes are introduced. Finally, the market power and the supervision necessity of the electricity market under the participation of energy storage are analyzed by case studies.

What is the bidding strategy of Bess in frequency regulation market?

Aiming at the multi-time scale clearing mechanism of the actual frequency regulation market, this paper divides the bidding strategy of BESSs to participate in the frequency regulation market into two stages: day ahead market (DAM) and real time market (RTM). The remainder of this article is organized as follows.

What is FERC Order 841?

FERC Order 841 requires system operators to remove barriers to energy storage's participation in the capacity, energy and ancillary services market, so that energy storage can participate in the electricity market in a market-competitive manner.

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 , .