Optimization in Planning and Operation of Electric Power Systems

1. Front Matter

   Pages i-x

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2. Mathematical Programming Methodology

   1. Front Matter

      Pages 1-1

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   2. Basic Issues in Lagrangian Optimization

      • R. Tyrrell Rockafellar

      Pages 3-30

   3. Dynamic Programming Basic Concepts and Applications

      • K. Neumann

      Pages 31-56

   4. Interior-Point Methodology for Linear Programming: Duality, Sensitivity Analysis and Computational Aspects

      • B. Jansen, C. Roos, T. Terlaky, J.-Ph. Vial

      Pages 57-123

   5. Approaches to Stochastic Programming with Application to Electric Power Systems

      • G. B. Dantzig, G. Infanger

      Pages 125-138

3. Unit Commitment

   1. Front Matter

      Pages 141-141

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   2. Unit Commitment and Thermal Optimization — Problem Statement

      • H. Braun

      Pages 143-171

   3. Experiences with Optimization Packages for Unit Commitment

      • H. Sanders, K. Linke

      Pages 173-197

   4. Modelling in Hydro-Thermal Optimization

      • A. Schadler, E. Steinbauer

      Pages 199-213

4. Optimal Power Flow

   1. Front Matter

      Pages 215-215

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   2. Power System Models, Objectives and Constraints in Optimal Power Flow Calculations

      • Rainer Bacher

      Pages 217-263

   3. Use of Linear and Quadratic Programming Techniques in Exploiting the Nonlinear Features of the Optimal Power Flow

      • Hans Glavitsch

      Pages 265-307

   4. Optimal Power Flow Packages Requirements and Experiences

      • A. Papalexopoulos

      Pages 309-347

   5. Cost/Benefits Analysis of the Optimal Power Flow

      • K. Kato

      Pages 349-365

Permanently increasing requirements in power supply necessitate efficient control of electric power systems. An emerging subject of importance is optimization. Papers on modelling aspects of unit commitment and optimal power flow provide the introduction to power systems control and to its associated problem statement. Due to the nature of the underlying optimization problems recent developments in advanced and well established mathematical programming methodologies are presented, illustrating in which way dynamic, separable, continuous and stochastic features might be exploited. In completing the various methodologies a number of presentations have stated experiences with optimization packages currently used for unit commitment and optimal power flow calculations. This work represents a state-of-the-art of mathematical programming methodologies, unit commitment, optimal power flow and their applications in power system control.

• Electric Power Systems
• elektrische Energie
• elektrische Energiesysteme
• energy
• mathematical programming
• modeling
• operations research
• optimization
• power systems
• programming

• Institute for Operations Research, University of St. Gallen for Business Administration, Economics, Law and Social Sciences, St. Gallen, Switzerland

  Karl Frauendorfer

• Institute of Electric Power Transmission and High Voltage Technology, Zurich, Switzerland

  Hans Glavitsch, Rainer Bacher

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