Scheduling of power generation via large-scale nonlinear optimization

DOI10.1007/BF00939088zbMath0616.90064OpenAlexW2000550574MaRDI QIDQ1821695

Paul P. J. van den Bosch, Freerk A. Lootsma

Publication date: 1987

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

Full work available at URL: https://doi.org/10.1007/bf00939088

zbMATH Keywords

gradient-projection methodelectricity productionconjugate search directionscontinuous knapsack problemsdaily schedulingdispatch problemshigh-dimensional nonlinear optimizationmodified Lagrange multiplier techniquenonquadratic cost functionreduced-gradient methodseparable cost function

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Nonlinear programming (90C30) Numerical methods based on nonlinear programming (49M37) Operations research and management science (90B99)

Related Items (13)

A simple procedure for optimal load dispatch using parametric programming ⋮ Global infimum of strictly convex quadratic functions with bounded perturbations ⋮ Some properties of boundedly perturbed strictly convex quadratic functions ⋮ Maximizing strictly convex quadratic functions with bounded perturbations ⋮ Recent Progress in Two-stage Mixed-integer Stochastic Programming with Applications to Power Production Planning ⋮ Some applications of mathematical programming techniques in optimal power dispatch ⋮ Linear programming with variable matrix entries ⋮ Resource allocation problems in decentralized energy management ⋮ On the solution of concave knapsack problems ⋮ Exact algorithm for solving a special fixed-charge linear programming problem ⋮ A branch-and-bound algorithm for solving a fixed charge problem in the profit optimization of sawn timber production ⋮ A hierarchical approach to dynamic optimization of power systems ⋮ Distribution sensitivity for certain classes of chance-constrained models with application to power dispatch

Uses Software

• ALGOL 60

Cites Work

• The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints
• Function minimization by conjugate gradients
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