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

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Authors
Xia, Yu
Issue Date
2013-05
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Electronic thesis
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Language
ENG
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Electrical engineering
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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.
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May 2013
School of Engineering
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Rensselaer Polytechnic Institute, Troy, NY
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