Day-Ahead Only Trading Model
The Day-Ahead Only Trading Model represents the most conservative approach to BESS operation, focusing exclusively on the day-ahead market with no exposure to real-time market fluctuations.
Strategy Overview
- Market Participation:
- Day-Ahead market only
- No participation in other markets
Key Features
- Simplest trading strategy with lowest operational complexity
- Trading decisions made 24+ hours in advance
- No exposure to real-time price volatility
- Minimal operational changes once day-ahead schedule is established
- Predictable revenue stream based on day-ahead price forecasts
- Limited upside potential but also limited downside risk
Risk Assessment
- Risk Level: Low Risk
- Strategy Type: Low-Risk Strategy focused on simplicity and predictability
- Objective: Minimize operational complexity while securing basic revenue streams
The day-ahead market is a forward market where participants can bid and secure energy prices one day before the actual delivery. This market is highly liquid, providing reliable revenue estimates that serve as a benchmark for comparison with other trading strategies.
In a day-ahead market, participants submit their bids based on their forecasted demand and supply. The market operator then matches these bids to determine the market-clearing price for each hour of the following day. This process helps in mitigating risks associated with real-time market fluctuations, as prices are locked in advance.
The Day Ahead Only trading model configuration for Battery Energy Storage Systems (BESS) or a combination of BESS and other assets such as photovoltaic (PV) systems, wind turbines, etc., leverages the day-ahead market to optimize asset charging and discharging. This model operates exclusively within the day-ahead market, buying power when forecasted prices are low to store energy and selling it when forecasted prices are high. This pure arbitrage strategy provides a clear indication of the business case solely within the day-ahead market.
Key aspects of this trading model include:
- Optimization: The model optimizes the charging and discharging cycles of the assets based on forecasted prices, ensuring maximum profitability.
- Arbitrage: By capitalizing on price differences between low and high forecasted prices, the model ensures efficient energy trading.
- Business Case Clarity: This strategy offers a straightforward evaluation of the financial viability of participating in the day-ahead market, without the complexities of real-time market dynamics.
This approach is particularly beneficial for participants looking to maximize returns from their energy assets while minimizing exposure to the uncertainties of real-time market fluctuations.