Shou Battery Project Bidding Information Network

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].

What is the proposed bidding strategy?

The proposed bidding strategy considers both energy market and regulation market, which shows flexibility to the uncertain bidding environments. The proposed algorithm is an individual profit maximisation bidding strategy, which can help the BESS owner optimise its bidding strategy to obtain highest bidding revenue without rivals information.

Does a Markovian based bidding model determine the optimised bidding strategy?

Therefore, this paper proposes a novel Markovian based bidding model that decides the optimised bidding strategy of the BESS in day-ahead energy and regulation markets, considering the charging/discharging losses and the ageing cost of the BESS.

What is the bidding stage in a dam & RTM period?

In the bidding stage, the owner from the private sector needs to collect information about active and reactive power prices in any DAM and RTM period by adopting a risk-aversive and profit-based approach.

What is the bidding strategy of Bess in dam & RTM?

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.

How to solve optimal bidding problem in a stochastic environment?

Problem reformulation Aiming at the stochastic environment of power market, the optimal bidding problem in an stochastic environment is reformulated based on equation (1), which includes the state space S, action space A, transition probability function P, reward function R and discount factor γ in detail.