All Stories

  1. Avoiding the Maratos Effect in PMU Placement – A Case Study
  2. Mathematical Models for the Single-Channel and Multi-Channel PMU Allocation Problem and Their Solution Algorithms
  3. Calculating Global Minimum Points to Binary Polynomial Optimization Problem: Optimizing the Optimal PMU Localization Problem as a Case-Study
  4. An Incomplete Observability-Constrained PMU Allocation Problem by Using Mathematical and Evolutionary Algorithms
  5. Transformers in High-Frequency Trading
  6. The Branch-and-Bound Algorithm in Optimizing Mathematical Programming Models to Achieve Power Grid Observability
  7. Research on optimization procedure of PMU positioning problem achieving maximum observability based on heuristic algorithms
  8. Implementation of optimization-based algorithms for maximum power system observability using synchronized measurements
  9. Optimization-based optimal PMU placement for power state estimation and fault observability
  10. A Generalized Pattern Search Algorithm Methodology for solving an Under-Determined System of Equality Constraints to achieve Power System Observability using Synchrophasors
  11. Towards Smart Energy Grids: A Box-Constrained Nonlinear Underdetermined Model for Power System Observability Using Recursive Quadratic Programming
  12. A Nonlinear Well-Determined Model for Power System Observability Using Interior-Point Methods
  13. Optimal Phasor Measurement Unit Placement for Numerical Observability Using Branch-and-Bound and a Binary-Coded Genetic Algorithm
  14. Fault Location Observability Using Phasor Measurement Units in a Power Network Through Deterministic and Stochastic Algorithms
  15. Optimal Phasor Measurement Unit Placement for Numerical Observability Using A Two-Phase Branch-and-Bound Algorithm
  16. Application of Synchronized Phasor Measurements Units in Power Systems
  17. Optimal Placement of Phasor Measurement Units with Linear and Non-linear Models
  18. A sequential quadratic programming method for phasor measurement unit placement
  19. Optimal placement of PMUS in power systems using binary integer programming and genetic algorithm