The "Microgrid Power Flow Planner" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 104 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 104 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: Microgrid Power Flow Planner.
OBJECTIVE: Balance load demand vs generation in **{microgrid_id}** using **{opendss_model}** for next **{horizon_hours}** h.
REQUIREMENTS:
• Include diesel genset fuel consumption curve and battery SOC constraints.
• Optimize objective: minimize NPV of fuel cost and O&M.
• Provide JSON schedule for each DER.
OUTPUT FORMAT: Markdown with optimization results and JSON snippet.