Methods for Large-Scale Nonlinear Optimization.

Abstract

The application of optimization to electrical power technology often requires the numerical solution of systems that are very large and possibly non-differentiable. A brief survey of the state of the art of numerical optimization is presented in which those methods that are directly applicable to power system problems will be highlighted. The areas of current research that are most likely to yield direct benefit to practical computation are identified. The paper concludes with a survey of available software. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1980
Accession Number
ADA087555

Entities

People

  • Margaret H. Wright
  • Michael Saunders
  • Philip Edward Gill
  • Walter Murray

Organizations

  • Stanford University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Computations
  • Computer Programming
  • Electric Power
  • Evolutionary Algorithms
  • Lagrangian Functions
  • Linear Programming
  • Mathematical Programming
  • Military Research
  • New York
  • Nonlinear Programming
  • Numerical Analysis
  • Operations Research
  • Optimization
  • Power
  • Simplex Method

Readers

  • Defense Technology Research and Development.
  • Electrical Engineering
  • Operations Research