Salinas-Melgoza A.,New Mexico State University |
Salinas-Melgoza V.,Morelia Institute of Technology |
Wright T.F.,New Mexico State University
Biological Conservation | Year: 2013
Behavioral plasticity is a strategy employed by many species to cope with both naturally occurring and human-mediated environmental variability. Such plasticity may be especially important for long-lived and wide-ranging species, such as parrots, that likely face great temporal and spatial variation within their long lifespans, and are often disproportionately affected by anthropogenic habitat change. We used radio-telemetry and roost counts to assess ranging patterns, habitat usage, and roosting behaviors of the Yellow-naped Amazon (Amazona auropalliata) at two sites in northern Costa Rica with different degrees of anthropogenic habitat alteration. We compared behaviors for residents at the two sites and for experimentally translocated individuals to test the hypothesis that this species would employ behavioral plasticity in response to habitat differences. We found that individuals in the region with dispersed vegetation recorded ranging movements and communal roosting behavior ten times larger than the region with concentrated vegetation. Translocated individuals showed flexibility in these behaviors and matched the behavioral patterns of resident birds at the release site rather than maintaining behaviors characteristic of their capture site. Our results illustrate a generalized rapid plastic response to human-induced changes in habitat for a number of behavioral traits in the Yellow-naped Amazon. Such plasticity is directly relevant to reintroduction efforts that are commonly employed as a conservation tool in parrots. Our study provides an example of how behavioral plasticity may allow some wild populations to withstand anthropogenic change. © 2012 Elsevier Ltd.
Martinez Cesena E.A.,University of Manchester |
Mutale J.,University of Manchester |
Rivas-Davalos F.,Morelia Institute of Technology
Renewable and Sustainable Energy Reviews | Year: 2013
Real options (RO) theory is well known for enhancing the value of projects under uncertainty. This is achieved by modelling the flexibility that managers possess to adjust the projects in response to changes in their environments. Based on this, RO theory could be used to tackle current energy and environmental issues by enhancing the value of electricity generation projects (EGP), especially renewable energy projects (REP). The potential of RO theory to increase the value of EGP and REP has been a driver for new research in the topic. However, existing literature is still scarce, diverse, and tends to neglect the state of the art of RO theory (e.g. RO in the design of projects). RO studies tend to ignore the use of RO in the design of projects as they are difficult to formulate without the help of experts on the projects' designs. This paper aims to encourage novel research in the application of RO theory to EGP and REP. For this purpose, a critical review of RO theory, its state of the art, and its applications to EGP and REP is presented. This review identifies current areas of interest and gaps in knowledge in this research area. It is concluded that new and novel RO research should address the state of the art of RO theory, and uncertainties that are exclusive for specific types of projects. This future research will require the involvement of electrical engineers specialised in the design of EGP and REP. © 2012 Elsevier Ltd.
Campos-Gaona D.,Morelia Institute of Technology |
Moreno-Goytia E.L.,Morelia Institute of Technology |
Anaya-Lara O.,University of Strathclyde
IEEE Transactions on Industrial Electronics | Year: 2013
A novel two-degree-of-freedom internal model control (IMC) controller that improves the fault ride-through (FRT) capabilities and crowbar dynamics of doubly fed induction generator (DFIG) wind turbines is presented. As opposed to other control strategies available in the open literature, the proposed IMC controller takes into account the power limit characteristic of the DFIG back-to-back converters and their dc-link voltage response in the event of a fault and consequent crowbar operation. Results from a digital model implemented in Matlab/Simulink and verified by a laboratory scale-down prototype demonstrate the improved DFIG FRT performance with the proposed controller. © 2012 IEEE.
Medina V.,Universidad Michoacana de San Nicolás de Hidalgo |
GARCiA J.M.,Morelia Institute of Technology
ACM Computing Surveys | Year: 2014
In the virtualization area, replication has been considered as a mechanism to provide high availability. A high-availability system should be active most of the time, and this is the reason that its design should consider almost zero downtime and a minimal human intervention if a recovery process is demanded. Several migration and replication mechanisms have been developed to provide high availability inside virtualized environments. In this article, a survey of migration mechanisms is reported. These approaches are classified in three main classes: process migration, memory migration, and suspend/resume migration. © 2014 ACM.
Avila-Montes J.,Prolec GE |
Melgoza E.,Morelia Institute of Technology
Proceedings - 2012 20th International Conference on Electrical Machines, ICEM 2012 | Year: 2012
Fixed or variable reactors are required in modern high voltage transmission systems. The virtual air-gap principle offers an alternative avenue for the development of controllable compensation devices to overcome voltage regulation problems in high voltage transmission systems. In this paper the scaling of the virtual air-gap principle to high voltage and large power devices is considered. A novel conceptual design of a Virtual Gap Reactor (VGR) is developed, and its configuration and essential working principle are discussed in order to clarify the design possibilities and manufacturing constraints of such a device. © 2012 IEEE.
Gutierrez-Alcaraz G.,Morelia Institute of Technology
IEEE Power and Energy Society General Meeting | Year: 2011
Electricity deregulation makes it more feasible to apply differential rates across customers. Dynamic prices can be used to reflect the changes in marginal energy costs of a power system. Some dynamic pricing pilot projects reveal that dynamic prices can actually reduce or shift electricity usage. However, system-load peaks and local-area load peaks could occur at different times. When both peaks are coincident, two objectives can be achieved simultaneously by applying dynamic pricing: total system demand and local demand reduction. However, when these peaks are non-coincident, local demand requires investment. We propose and extended dynamic pricing scheme by taking area- and time-specific marginal distribution capacity costs into account for addressing locational investment deferral. Elasticity model which uses actual test data from pilot projects is adopted to estimate load reduction due to dynamic pricing. © 2011 IEEE.
Gnecchi J.A.G.,Morelia Institute of Technology
Proceedings - 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2010 | Year: 2010
This paper presents the implementation of a Dynamic Link Library (DLL) and Signal Conditioning System for on-line qualitative reconstruction and analysis of Electrical Impedance Tomography (EIT) images. Three different finite element circular meshes were developed for use with the DLL: 104, 464 and 1016 triangular elements. The library allows the user to choose between three different post-reconstruction options for data visualization: raw data, bilinear interpolation and radial basis function (RBF) interpolation. The DLL can thus be imported into a Virtual Instrumentation software, such as National Instruments LabWindows© and Agilent Technologies HPVEE© to ease the implementation of virtual instrumentation for EIT measurements. A case study is presented: in-phantom object tracking in laboratory test trials. The results suggest that the EIT DLL can be used as part of a virtual instrumentation program, reducing development time for on-line real-time analysis in multiple applications. © 2010 IEEE.
Torres G. V.,Morelia Institute of Technology |
Ruiz P. H.F.,Morelia Institute of Technology
Proceedings - 2011 IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2011 | Year: 2011
A High Impedance Fault (HIF) is generated when overhead power lines physically breaks and falls to the ground without a solid grounding. Such faults are the most difficult to detect in Electrical Distribution Systems and often draw small currents which cannot be detected by conventional protection. In addition, arcing accompanies many high impedance fault, resulting in a fire hazard, damage to physical infrastructure or danger to human life and animals. This paper presents a Discrete Wavelet Transform (DWT) based technique for high impedance fault detection in power distribution system. The algorithm is based on DWT multiresolution analysis and results are presented in a windowing approach. This study is implemented in an electric distribution system with field data. © 2011 IEEE.
Torres J.,Morelia Institute of Technology |
Guardado J.L.,Morelia Institute of Technology |
Rivas-Davalos F.,Morelia Institute of Technology |
Maximov S.,Morelia Institute of Technology |
Melgoza E.,Morelia Institute of Technology
International Journal of Electrical Power and Energy Systems | Year: 2013
This paper describes a genetic algorithm developed for power distribution system reconfiguration with minimal losses. The reconfiguration problem consists in identifying a new network topology with minimal power losses, while all the electrical system constraints are satisfied like radial topology, lines and substations power flow below capacity limits, node voltage magnitude within limits and all nodes connected. This is a combinatorial optimization problem where the aim is to determine the final status, open/closed, of all switches in a large scale distribution system. The genetic algorithm developed uses the edge window decoder encoding technique for network representation and building up spanning trees, as well as efficient genetic operators in order to explore the search space. Using two representative distribution system configurations, the results obtained with the developed methodology are compared with those obtained with other heuristic and metaheuristic techniques. The numerical results presented show the usefulness and effectiveness of the proposed algorithm. © 2012 Elsevier Ltd. All rights reserved.
Castro L.M.,Universidad Michoacana de San Nicolás de Hidalgo |
Fuerte-Esquivel C.R.,Universidad Michoacana de San Nicolás de Hidalgo |
Tovar-Hernandez J.H.,Morelia Institute of Technology
IEEE Transactions on Power Systems | Year: 2012
This paper proposes the integration of steady-state models of several types of wind generators into a power flow algorithm with automatic load-frequency control. Since the system frequency deviation is considered a state variable to be computed by the power flow solution, this formulation helps identify the operating point of wind generators after the action of the primary frequency control when power imbalances have occurred. The mathematical formulation of fixed-speed wind generators is presented based on the steady-state representation of the induction generator. Furthermore, as variable-speed wind generators keep gaining prominence in power systems, their potential contribution to frequency support is also analyzed herein. These models are formulated within the power flow approach by using a unified single frame of reference and the Newton-Raphson algorithm. The proposed approach is then applied to the analysis of a three-machine, eight-bus system and the IEEE-14 bus test system. © 1969-2012 IEEE.