A simultaneous perturbation approach for solving economic dispatch problems with emission, storage, and network constraints

Authors
Xia, Yu
ORCID
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Other Contributors
Chow, J. H. (Joe H.), 1951-
Salon, S. J. (Sheppard Joel), 1948-
Shawhan, Daniel L.
Issue Date
2013-05
Keywords
Electrical engineering
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
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Abstract
Power system optimization problems are commonly posed as constrained optimization problems and formulated as linear or nonlinear programming problems that incorporate a Lagrange multiplier for each equality constraint and binding inequality constraint. Lagrangian relaxation solution algorithms attempt to iteratively find a solution by temporarily relaxing the Lagrange multipliers and hence temporarily decoupling the optimization across time periods. A simultaneous perturbation technique for economic dispatch problems with inter-temporal constraints has been previously proposed and shown to have good convergence properties while solving for all time periods simultaneously. However, this technique was previously illustrated only by coordinating a hydro unit and a single composite steam unit without a network model.
Description
May 2013
School of Engineering
Department
Dept. of Electrical, Computer, and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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