All Stories

  1. Mathematical Models for the Single-Channel and Multi-Channel PMU Allocation Problem and Their Solution Algorithms

    Article • Algorithms, April 2024, MDPI AG

    Mr Nikolaos Panagis Theodorakatos

  2. Calculating Global Minimum Points to Binary Polynomial Optimization Problem: Optimizing the Optimal PMU Localization Problem as a Case-Study

    Article • Journal of Physics Conference Series, February 2024, Institute of Physics Publishing

    Mr Nikolaos Panagis Theodorakatos

  3. An Incomplete Observability-Constrained PMU Allocation Problem by Using Mathematical and Evolutionary Algorithms

    Article • Journal of Physics Conference Series, February 2024, Institute of Physics Publishing

    Mr Nikolaos Panagis Theodorakatos

  4. The Branch-and-Bound Algorithm in Optimizing Mathematical Programming Models to Achieve Power Grid Observability

    Article • Axioms, November 2023, MDPI AG

    Mr Nikolaos Panagis Theodorakatos

  5. Research on optimization procedure of PMU positioning problem achieving maximum observability based on heuristic algorithms

    Article • January 2023, American Institute of Physics

    Mr Nikolaos Panagis Theodorakatos, Phd Candidate Angelos P. Moschoudis

  6. Implementation of optimization-based algorithms for maximum power system observability using synchronized measurements

    Article • January 2023, American Institute of Physics

    Mr Nikolaos Panagis Theodorakatos, Phd Candidate Angelos P. Moschoudis

  7. Optimization-based optimal PMU placement for power state estimation and fault observability

    Article • January 2023, American Institute of Physics

    Mr Nikolaos Panagis Theodorakatos, Phd Candidate Angelos P. Moschoudis

  8. A Generalized Pattern Search Algorithm Methodology for solving an Under-Determined System of Equality Constraints to achieve Power System Observability using Synchrophasors

    Article • Journal of Physics Conference Series, November 2021, Institute of Physics Publishing

    Mr Nikolaos Panagis Theodorakatos

  9. Towards Smart Energy Grids: A Box-Constrained Nonlinear Underdetermined Model for Power System Observability Using Recursive Quadratic Programming

    Article • Energies, April 2020, MDPI AG

    Mr Nikolaos Panagis Theodorakatos

  10. A Nonlinear Well-Determined Model for Power System Observability Using Interior-Point Methods

    Article • Measurement, November 2019, Elsevier

    Mr Nikolaos Panagis Theodorakatos

  11. Optimal Phasor Measurement Unit Placement for Numerical Observability Using Branch-and-Bound and a Binary-Coded Genetic Algorithm

    Article • Electric Power Components and Systems, May 2019, Taylor & Francis

    Mr Nikolaos Panagis Theodorakatos

  12. Fault Location Observability Using Phasor Measurement Units in a Power Network Through Deterministic and Stochastic Algorithms

    Article • Electric Power Components and Systems, March 2019, Taylor & Francis

    Mr Nikolaos Panagis Theodorakatos

  13. Optimal Phasor Measurement Unit Placement for Numerical Observability Using A Two-Phase Branch-and-Bound Algorithm

    Article • International Journal of Emerging Electric Power Systems, February 2018, De Gruyter

    Mr Nikolaos Panagis Theodorakatos

  14. Application of Synchronized Phasor Measurements Units in Power Systems

    Article • The International Journal of Engineering and Science, March 2017, IOSR Journals

    Mr Nikolaos Panagis Theodorakatos

  15. Optimal Placement of Phasor Measurement Units with Linear and Non-linear Models

    Article • Electric Power Components and Systems, February 2015, Taylor & Francis

    Mr Nikolaos Panagis Theodorakatos, Dr. Nikolaos M. Manousakis

  16. A sequential quadratic programming method for phasor measurement unit placement

    Article • International Transactions on Electrical Energy Systems, December 2014, Wiley

    Mr Nikolaos Panagis Theodorakatos, Dr. Nikolaos M. Manousakis

  17. Optimal placement of PMUS in power systems using binary integer programming and genetic algorithm

    Article • January 2014, the Institution of Engineering and Technology (the IET)

    Mr Nikolaos Panagis Theodorakatos, Dr. Nikolaos M. Manousakis