Next Article in Journal
Experimental and Theoretical Study on the Critical Breaking Velocity of Marine Natural Gas Hydrate Sediments Breaking by Water Jet
Next Article in Special Issue
A Frequency Estimation Method Based on a Revised 3-Level Discrete Fourier Transform with an Estimation Delay Reduction Technique
Previous Article in Journal
Titanium-Anthraquinone Material as a New Design Approach for Electrodes in Aqueous Rechargeable Batteries
Previous Article in Special Issue
Fault Model and Travelling Wave Matching Based Single Terminal Fault Location Algorithm for T-Connection Transmission Line: A Yunnan Power Grid Study
Open AccessArticle

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

1
School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Iroon Polytechneiou 9, 15780 Zografou, Athens, Greece
2
School of Business and Economics, Deree—The American College of Greece, Gravias 6, 153 42 Aghia Paraskevi, Greece
3
Effat College of Engineering, Effat University, P.O. Box 34689, Jeddah 21478, Saudi Arabia
4
Department of Electrical & Electronics Engineering, Bharat Institute of Engineering and Technology, Mangalpally, Ibrahimpatnam, Ranga Reddy, Hyderabad, Telangana 501510, India
*
Author to whom correspondence should be addressed.
Energies 2020, 13(7), 1724; https://doi.org/10.3390/en13071724
Received: 20 February 2020 / Revised: 27 March 2020 / Accepted: 31 March 2020 / Published: 4 April 2020
This paper introduces an underdetermined nonlinear programming model where the equality constraints are fewer than the design variables defined on a compact set for the solution of the optimal Phasor Measurement Unit (PMU) placement. The minimization model is efficiently solved by a recursive quadratic programming (RQP) method. The focus of this work is on applying an RQP to attempt to find guaranteed global minima. The proposed minimization model is conducted on IEEE systems. For all simulation runs, the RQP converges superlinearly towards optimality in a finite number of iterations without to be rejected the full step-length. The simulation results indicate that the RQP finds out the minimal number and the optimal locations of PMUs to make the power system wholly observable. View Full-Text
Keywords: smart power transmission system; synchronized measurements; optimal PMU placement; underdetermined nonlinear systems; algorithms; smart energy grids; smart cities smart power transmission system; synchronized measurements; optimal PMU placement; underdetermined nonlinear systems; algorithms; smart energy grids; smart cities
Show Figures

Graphical abstract

MDPI and ACS Style

Theodorakatos, N.P.; Lytras, M.; Babu, R. Towards Smart Energy Grids: A Box-Constrained Nonlinear Underdetermined Model for Power System Observability Using Recursive Quadratic Programming. Energies 2020, 13, 1724.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop