Chance-constrained economic dispatch with renewable energy and storage

DOI10.1007/s10589-018-0006-2zbMath1391.90441OpenAlexW2799987893WikidataQ129962743 ScholiaQ129962743MaRDI QIDQ1639716

Richard Li-Yang Chen, Jianqiang Cheng, Habib N. Najm, Cosmin Safta, Jean-Paul Watson, Ali Pınar

Publication date: 13 June 2018

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10150/627809

zbMATH Keywords

chance constraintssample average approximationenergy storageeconomic dispatchpartial sample average approximationrenewable energy integration

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (3)

A Framework for Solving Chance-Constrained Linear Matrix Inequality Programs ⋮ Probability maximization via Minkowski functionals: convex representations and tractable resolution ⋮ Value at risk approach to producer's best response in an electricity market with uncertain demand

Uses Software

• Gurobi
• MATPOWER

Cites Work

• Unnamed Item
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• Chance-Constrained Binary Packing Problems
• Scenarios and Policy Aggregation in Optimization Under Uncertainty
• A Sample Approximation Approach for Optimization with Probabilistic Constraints
• The Scenario Approach to Robust Control Design
• Convex Approximations of Chance Constrained Programs
• L-Shaped Linear Programs with Applications to Optimal Control and Stochastic Programming

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