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Alejandro Garcés Ruiz
Mathematical Programming for Power Systems Operation
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Mathematical Programming for Power Systems Operation Mathematical Programming for Power Systems Operation From Theory to Applications in Python
Страница 3
Contents
List of Illustrations
List of Tables
Guide
Pages
Acknowledgment
Introduction
1 Power systems operation
1.1 Mathematical programming for power systems operation
1.2 Continuous models 1.2.1 Economic and environmental dispatch
1.2.2 Hydrothermal dispatch
1.2.3 Effect of the grid constraints
1.2.4 Optimal power flow
1.2.5 Hosting capacity
1.2.6 Demand-side management
1.2.7 Energy storage management
1.2.8 State estimation and grid identification
1.3 Binary problems in power systems operation
1.3.1 Unit commitment
1.3.2 Optimal placement of distributed generation and capacitors
1.3.3 Primary feeder reconfiguration and topology identification
1.3.4 Phase balancing
1.4 Real-time implementation
1.5 Using Python
Notes
Страница 29
2 A brief introduction to mathematical optimization
2.1 About sets and functions
Example 2.1
Example 2.2
Example 2.3
2.2 Norms
2.3 Global and local optimum
2.4 Maximum and minimum values of continuous functions
2.5 The gradient method
Example 2.4
Example 2.5
Example 2.6
Example 2.7
2.6 Lagrange multipliers
Example 2.8
2.7 The Newton’s method
Example 2.9
2.8 Further readings
2.9 Exercises
Notes
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