Simulating Battery Energy Storage Systems (BESS)
This section covers the three primary methods for BESS simulation:
After setting up the inputs and adding new BESS units to the database, the next step is determining how these units interact with the market. This is controlled by adjusting the bidding strategies.
Bidding Strategies
Choose a strategy based on whether your goal is manual testing, profit maximization, or grid stability.
1. Custom Bids
Users have the option to create their own bids manually. This approach is best suited for users who have desired specific bidding behaviors or are testing edge-case market scenarios.
- Best for: Stress testing and proprietary strategy modeling.
- Key Benefit: Total control over price and volume triggers.
2. Optimized Bids (opbid)
This is a core feature of iPool that automatically generates bids based on the Price Duration Curve (PDC) from historical load data.
Goal: This strategy focuses purely on maximizing unit profits by identifying optimal charging and discharging bid price relative to market prices.
3. Optimized Energy Limited Plants (opELP)
The opELP feature optimizes BESS behavior by levelizing the net system demand. Instead of focusing solely on price, it attempts to "flatten" the residual demand curve.
- Mechanism: Charges during low-demand periods and discharges during peaks.
- Outcome: Improved grid stability and reduced reliance on peaking plants.