locational-marginal-prices

Compute locational marginal prices from DC-OPF dual values.

98|12|Updated May 15, 2026
One-click install
npx skills add https://github.com/agentscope-ai/PawBench --skill locational-marginal-prices-agentscope-ai
Or copy as Structured Prompt for Agent
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Skill: locational-marginal-prices
Source: https://github.com/agentscope-ai/PawBench/tree/main/data/pawbench-v1.0/assets/T129_skillsbench_energy-market-pricing/skills/locational-marginal-prices
Command: npx skills add https://github.com/agentscope-ai/PawBench --skill locational-marginal-prices-agentscope-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill assists in calculating and extracting locational marginal prices (LMPs) from power system optimization solutions, crucial for tasks such as nodal electricity prices, reserve clearing, and price impact analysis.

Core Features & Use Cases

  • LMP Extraction: Retrieve locational marginal prices using dual values from DC-OPF solutions.
  • Usage in Electricity Pricing: Employ in the calculation of nodal electricity prices, reserve clearing prices, and for conducting price impact analyses.
  • Use Case: Suppose you are working with power grid optimization, using this skill would enable you to derive the marginal costs for each bus based on system load.

Quick Start

Execute the calculate_lmp.py script on a provided power system model file to compute locational marginal prices.

Frequently Asked Questions about locational-marginal-prices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate locational marginal prices from a DC optimal power flow solution?

Calculate locational marginal prices by analyzing the dual values of nodal power balance constraints from direct current optimal power flow (DC-OPF) problems to derive marginal costs for each bus.

What are locational marginal prices and how do they work in power systems?

Locational marginal prices are the marginal costs for each bus based on system load, extracted from power systems optimization to perform network cost calculations, reserve clearing, and price volatility assessments.

How do I extract nodal electricity prices for energy market analysis?

Extract nodal electricity prices by retrieving dual values from DC-OPF solutions to conduct price impact analysis, reserve clearing, and nodal electricity pricing for energy market analysis.

Can I use this to compute reserve clearing prices and assess price volatility in power grid optimization?

Yes, you can compute reserve clearing prices and assess price volatility by executing the calculation script on a provided power system model file to derive marginal costs and nodal prices.

Does this require a specific power system model file to perform LMP calculation?

Yes, LMP calculation requires a provided power system model file to execute the script and compute locational marginal prices from the dual values of the direct current optimal power flow problem.

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