Institution
Missouri University of Science and Technology
Education•Rolla, Missouri, United States•
About: Missouri University of Science and Technology is a education organization based out in Rolla, Missouri, United States. It is known for research contribution in the topics: Artificial neural network & Control theory. The organization has 9380 authors who have published 21161 publications receiving 462544 citations. The organization is also known as: Missouri S&T & University of Missouri–Rolla.
Topics: Artificial neural network, Control theory, Nonlinear system, Ionization, Finite element method
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, a microgrid system with two inverters working as DERs is proposed, and the controllers for the inverters are designed in the dq reference frame.
Abstract: In the islanded mode operation of a microgrid, a part of the distributed network becomes electrically separated from the main grid, while loads are supported by local sources. Such distributed energy sources (DERs) are typically power electronic based, making the full system complex to study. A method for analyzing such a complicated system is discussed in this paper. A microgrid system with two inverters working as DERs is proposed. The controllers for the inverters are designed in the dq reference frame. Nonlinear equations are derived to reflect the system dynamics. These equations are linearized around steady-state operating points to develop a state-space model of the microgrid. An averaged model is used in the derivation of the mathematical model that results in a simplified system of equations. An eigenvalue analysis is completed using the linearized model to determine the small-signal stability of the system. A simulation of the proposed microgrid system consisting of two inverter based DERs, passive loads, and a distribution line is performed. An experimental testbed is designed to investigate the system's dynamics during load perturbation. Results obtained from the simulation and hardware experiment are compared with those predicted by the mathematical model to verify its accuracy.
172 citations
••
TL;DR: The test results show that the feature vector extraction method and neural networks can be used successfully for isolated word recognition and this system is flexible and open for future extension.
172 citations
••
TL;DR: Investigation of removal of arsenate from water using granular ferric hydroxide (GFH) was investigated under different pH and As(V) loading conditions, using batch equilibrium adsorption, FTIR, and EXAFS methods, and data indicated that the surface of GFH is high heterogeneous.
172 citations
••
172 citations
••
TL;DR: Results suggest that lead-induced oxidative stress in vivo can be mitigated by pharmacologic interventions, which encompass both chelating as well as thiol-mediated antioxidant functions.
172 citations
Authors
Showing all 9433 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert Stone | 160 | 1756 | 167901 |
Tobin J. Marks | 159 | 1621 | 111604 |
Jeffrey R. Long | 118 | 425 | 68415 |
Xiao-Ming Chen | 108 | 596 | 42229 |
Mark C. Hersam | 107 | 659 | 46813 |
Michael Schulz | 100 | 759 | 50719 |
Christopher J. Chang | 98 | 307 | 36101 |
Marco Cavaglia | 93 | 372 | 60157 |
Daniel W. Armstrong | 93 | 759 | 35819 |
Sajal K. Das | 85 | 1124 | 29785 |
Ming-Liang Tong | 79 | 364 | 23537 |
Ludwig J. Gauckler | 78 | 517 | 25926 |
Rodolphe Clérac | 78 | 506 | 22604 |
David W. Fahey | 77 | 315 | 30176 |
Kai Wang | 75 | 519 | 22819 |