Decomposition and Probabilistic Simulation in Electric Utility Planning Models.

Abstract

This paper presents several mathematical programming models for planning expansion of electricity generating capacity by utilities. The objective considered is to minimize the cost of meeting a given set of demands over a multi-period planning horizon. In this formulation, the problem naturally decomposes into two parts - determining the optimal plant capacity investments over the entire horizon and determining the optimal operating schedule for the generating plants in each period. This paper discusses how mathematical programming decomposition techniques can be used to exploit this natural decomposition. The paper also discusses how these models can be used in peak-load pricing.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1978
Accession Number
ADA058421

Entities

People

  • Jeremy Alan Bloom

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Economic Systems
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Nonlinear Programming
  • Operations Research
  • Optimization
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Simplex Method
  • Time Intervals

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Energy Conservation and Renewable Energy Engineering.
  • Industrial Economics