Some applications of mathematical programming techniques in optimal power dispatch
Author(s) -
J. Guddat,
Werner Römisch,
Rüdiger Schultz
Publication year - 1992
Publication title -
computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.409
H-Index - 60
eISSN - 1436-5057
pISSN - 0010-485X
DOI - 10.1007/bf02238928
Subject(s) - economic dispatch , mathematical optimization , stochastic programming , quadratic programming , computer science , dynamic programming , convex optimization , sequential quadratic programming , electric power system , power (physics) , regular polygon , mathematics , physics , geometry , quantum mechanics
Some models for the economic dispatch of electric power are introduced and treated by mathematical programming techniques. In particular, our presentation includes (i) a short-term model for the optimal dispatch of thermal units, which is solved by a specific path following method, (ii) a daily model for a generation system consisting of thermal units, pumped storage plants and an energy contract, which can be solved by standard convex quadratic programming algorithms, and (iii) two stochastic programming models for the optimal daily dispatch, which depend on the (unknown) probability distribution of the electric power demand. One of the latter models can be solved efficiently by combining nonparametric estimation procedures and convex programming methods.
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