Probability-Based Software for Grid Optimization: Improved Power System Operations Using Advanced Stochastic Optimization

DOE OSTI · 1046733

Probability-Based Software for Grid Optimization: Improved Power System Operations Using Advanced Stochastic Optimization

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Abstract

GENI Project: Sandia National Laboratories is working with several commercial and university partners to develop software for market management systems (MMSs) that enable greater use of renewable energy sources throughout the grid. MMSs are used to securely and optimally determine which energy resources should be used to service energy demand across the country. Contributions of electricity to the grid from renewable energy sources such as wind and solar are intermittent, introducing complications for MMSs, which have trouble accommodating the multiple sources of price and supply uncertainties associated with bringing these new types of energy into the grid. Sandia’s software will bring a new, probability-based formulation to account for these uncertainties. By factoring in various probability scenarios for electricity production from renewable energy sources in real time, Sandia’s formula can reduce the risk of inefficient electricity transmission, save ratepayers money, conserve power, and support the future use of renewable energy.

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2012-02-24. Probability-Based Software for Grid Optimization: Improved Power System Operations Using Advanced Stochastic Optimization. https://www.osti.gov/biblio/1046733

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