Historical Marketsfree

BESS Dispatch Backtest

Simulate battery revenue against historical LMP with two strategies

MCP Function Name

gridkit_bess_backtest

What It Does

BESS dispatch backtest simulating battery revenue against historical LMP. Two strategies: perfect_foresight (theoretical upper bound) and simple_peak_offpeak (charge 1-5am, discharge 4-8pm).

Parameters

Name	Type	Required	Description
iso	string	optional (CAISO)	ISO/RTO
node	string	optional (SP15)	Pricing node
capacity_mw	float	optional (50)	Battery capacity (MW)
duration_hours	float	optional (4)	Duration (hours)
strategy	string	optional (perfect_foresight)	Dispatch strategy

Try These in Claude

Backtest a 50MW/200MWh battery at SP15 over the last 3 years

Data Sources

CAISO OASISPJM Data Miner

Use Cases

- BESS investment analysis
- Strategy comparison
- Revenue benchmarking

Connect This Tool

Part of the unified Gridleaf gateway. Connect once for all 55 tools:

Claude Code

claude mcp add --transport streamable-http gridleaf https://mcp.gridleaf.org/mcp --header "X-API-Key: YOUR_KEY"

Claude.ai

Settings > Integrations > Add Custom Connector > URL: https://mcp.gridleaf.org/mcp

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Compare electricity prices across nodes to identify basis differentials

Price Duration Curve

Sorted LMP distribution with percentiles for tail risk analysis