Incorporating Renewable Generation Uncertainty Into Multi-Objective Dispatch Optimization

This article analyzes an electrical system based on the IEEE-57 bus case, which integrates thermal and wind generation to meet hourly demand. Using the previous day’s wind forecasts as firm market bids, the optimal Pareto frontier for thermal dispatch is calculated, balancing total cost and emissions. The system operator selects a dispatch point based on the desired cost–emissions ratio. To reflect real-world uncertainty, the study incorporates statistical deviations in actual wind production derived from historical data. For each deviation scenario, new optimal thermal dispatch curves are generated. This approach allows for preventive scheduling across the range of expected wind deviations and supports real-time adjustments through mechanisms such as redispatching, intraday markets, or secondary/tertiary regulation.

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Publication Details

Journal
Energies
Published
2026-01-21
DOI
https://doi.org/10.3390/en19020545
Primary Topic
Electric Power System Optimization
Type
article
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article

Incorporating Renewable Generation Uncertainty Into Multi-Objective Dispatch Optimization

Alberto Ramos, Pablo Reina Peral, Eduardo Conde Lázaro, Claude Martínez
Energies
Electric Power System Optimization
article

Incorporating Renewable Generation Uncertainty Into Multi-Objective Dispatch Optimization

Alberto Ramos, Pablo Reina Peral, Eduardo Conde Lázaro, Claude Martínez
article en

Abstract

This article analyzes an electrical system based on the IEEE-57 bus case, which integrates thermal and wind generation to meet hourly demand. Using the previous day’s wind forecasts as firm market bids, the optimal Pareto frontier for thermal dispatch is calculated, balancing total cost and emissions. The system operator selects a dispatch point based on the desired cost–emissions ratio. To reflect real-world uncertainty, the study incorporates statistical deviations in actual wind production derived from historical data. For each deviation scenario, new optimal thermal dispatch curves are generated. This approach allows for preventive scheduling across the range of expected wind deviations and supports real-time adjustments through mechanisms such as redispatching, intraday markets, or secondary/tertiary regulation.

EnergiesVol. 19(2)
Universidad Politécnica de Madrid (ES)
Affordable and clean energy
Openalex Percentile: Top 80%
Electric Power System Optimization
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