Polynomial Optimization Applied to Power Network Operations

Polynomial Optimization Applied to Power Network Operations

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Adjustable Robust ACOPF

20 of 25

20 of 25

Adjustable Robust ACOPF

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Classroom Contents

Polynomial Optimization Applied to Power Network Operations

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  1. 1 Intro
  2. 2 Polynomial Programming
  3. 3 A General Recipe for Relaxations of PP
  4. 4 Sum-of-square Relaxations for PP
  5. 5 Overcoming the size blow-up
  6. 6 Sparse Relaxations of PP Polynomial Optimization Problem
  7. 7 SOCP-based Hierarchy for PP
  8. 8 Motivation
  9. 9 Proposed Solution Methods
  10. 10 Application - AC Optimal Power Flow
  11. 11 Challenges - AC Optimal Power Flow
  12. 12 ACOPF: Parameters
  13. 13 ACOPF: Formulation
  14. 14 ACOPF: Quadratic PP
  15. 15 Optimal Power Flow - Duality
  16. 16 Sparsity of the SDP relaxation: 39 Buses
  17. 17 OPF - Results
  18. 18 Uncertainty in Power Systems
  19. 19 ACOPF as a non-convex quadratic optimization problem
  20. 20 Adjustable Robust ACOPF
  21. 21 Affine equalities
  22. 22 Algorithm to solve (ARP)
  23. 23 Details of piecewise-affine approximations
  24. 24 Numerical experiments: instances with 30 to 118 buses
  25. 25 Conclusions

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