378 periods (189.0h)
The optimizer found a profitable dispatch schedule generating โฌ169,674.48 in net revenue across 378 periods (189.0h). This was achieved using a BESS Only configuration with Full Grid Access, optimizing for Maximize Profit.
Compared to operating without the battery, this schedule delivers โฌ169,674.48 in savings (100.0%). This is the direct financial value the BESS adds to the project.
Method comparison: 5 optimization methods were tested. Robust Optimization achieved the highest revenue at โฌ169,674.48, while Rule-Based (Benchmark) returned โฌ63,942.22 โ a gap of โฌ105,732.26.
Mathematical optimization (MILP) outperformed the naive rule-based strategy by โฌ93,123.96. This demonstrates the concrete financial value of using optimization over simple threshold-based dispatch.
| Method | Category | Net Revenue | vs Best | Solve Time | Status |
|---|---|---|---|---|---|
| Robust Optimizationโ | robust | €169,674 | ๐ Best | 0.08s | โ |
| Model Predictive Controlโ | exact | €159,670 | -5.9% | 0.22s | โ |
| MILP (HiGHS)โ | exact | €157,066 | -7.4% | 0.11s | โ |
| Dynamic Programmingโ | exact | €105,735 | -37.7% | 0.19s | โ |
| Rule-Based (Benchmark)โ | benchmark | €63,942 | -62.3% | 0.0008s | โ |
| Scenario | Net Result | Export Rev | Ancillary | Import Cost | Degradation | Weight |
|---|---|---|---|---|---|---|
| โฒ Best Case | €170,206 | +€75,441 | +€112,632 | −€13,385 | −€4,482 | 20% |
| โ Base Case | €169,674 | +€81,604 | +€112,632 | −€20,079 | −€4,482 | 60% |
| โผ Worst Case | €169,143 | +€87,767 | +€112,632 | −€26,773 | −€4,482 | 20% |
How the €169,674 "With Battery" result breaks down
| Time (Europe/Bucharest)โ | Actionโ | Gen MWโ | Dem MWโ | Curt MWโ | Priceโ | Chg MWโ | Dis MWโ | SOC%โ | Grid Inโ | Grid Outโ | FCR MWโ | FFR MWโ | Imp €โ | Exp €โ | Batt €โ | Anc €โ | Net €โ | Signalโ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TOTALS | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 |