La cooperación internacional para el desarrollo como herramienta de política exterior japonesa en África Subsahariana

El presente caso de estudio tiene como objetivo explicar el rol de la cooperación internacional para el desarrollo en Tanzania, Mozambique, Nigeria para la consolidación del liderazgo político internacional de Japón. El interés de realizar esta investigación es la ampliación del conocimiento sobre el uso del poder blando, para alcanzar los objetivos de política exterior japonesa. Por eso, se llevara a cabo una revisión bibliográfica para el análisis de documentos oficiales y artículos académicos para la consolidación de información. A partir de ello, se pretende demostrar que la cooperación al desarrollo es una herramienta de política exterior japonesa para consolidarse como líder, en la medida en que el uso de herramientas propias de la cooperación y el presupuesto destinada a la ejecución de éstas tienen incidencia en los votos de estos Estados africanos para las iniciativas japonesas en las Naciones Unidas.

Medida del consumo de energía en la descodificación de vídeos

Este proyecto se encuentra adscrito a la línea de investigación de optimización de consumo en terminales multimedia móviles que el Grupo de Diseño Electrónico y Microelectrónico (GDEM) de la UPM (Universidad Politécnica de Madrid) está llevando a cabo. Los sistemas empotrados móviles (Smartphone, Tablet,...) están alimentados con baterías. En este tipo de sistemas, una de las aplicaciones que más rápidamente consume energía es la descodificación de secuencias de vídeo. En este trabajo, queremos medir el consumo de energía de distintos descodificadores de vídeo para distintas secuencias, con el objetivo de entender mejor cómo se consume esta energía y poder encontrar diferentes métodos que lo reduzcan. Para ello comenzaremos describiendo nuestro entorno de trabajo, tanto el hardware como el software utilizado. Respeto al hardware cabe destacar el uso de una PandaBoard y un Smart Power de Odroid, entre otros muchos elementos utilizados, los cuales serán debidamente explicados en las siguientes páginas de este proyecto. Mientras que para el software destaca el uso de dos tipos de descodificadores uno CBP y otro PHP, los cuales serán descritos en profundidad en los siguientes capítulos de este documento. Este entorno de trabajo nos servirá para el estudio de las diferentes secuencias de vídeo, cuya codificación ha sido llevada en paralelo con otro proyecto que se está realizando en el grupo de GDEM de la UPM, y cuyo objetivo es el estudio de la calidad subjetiva durante la descodificación del mismo conjunto de secuencias de vídeo. Todas estas secuencias de vídeo han sido codificadas con diferentes parámetros de calidad y diversas estructuras de imágenes, para obtener así un banco de pruebas lo más amplio posible. Gracias a la obtención de estas secuencias de vídeo y utilizando nuestro entorno de trabajo, pasaremos a estudiar el consumo de energía que se produce al descodificar una a una todas las posibles secuencias de vídeo, dependiendo todo esto de su estructura de imágenes, su calidad y por supuesto, el descodificador utilizado en cada caso. Para terminar, se mostrará una comparativa entre los diferentes resultados obtenidos y se hará una discusión de estos, obteniendo en este caso, un resumen de los datos más significativos, así como las conclusiones más importantes obtenidas durante todo este trabajo. Al término de este proyecto y en unión con el estudio que se está llevando a cabo en paralelo sobre la calidad subjetiva, queda como línea futura de investigación encontrar el compromiso entre el consumo de energía de diferentes secuencias de vídeo y la calidad subjetiva de dichas secuencias. ABSTRACT. This project is assigned to the research line on consumption optimization in mobile multimedia terminals carried out by the Group of Electronic Design and Microelectronics (GDEM) of the Polytechnic University of Madrid (UPM). Embedded mobile systems (smartphones, tablets...) are powered by batteries. In such systems, one of the applications that more rapidly consumes power is the decoding of video streams. In this work, we measure the power consumption of different video decoders for different streams, in order to better understand how this energy is consumed and to find different methods to reduce it. To this end, we start by describing our working environment, both hardware and software used. As for the hardware, it is worth mentioning the use of PandaBoard and Smart Power Odroid, among many other elements, which will be duly explained in the following pages of this project. As for the software, we highlight the use of two types of decoders, CBP and PHP, which will be described in detail in the following chapters of this document. This working environment will help us to study different video streams, whose coding has been perfor-med in parallel under another project that is being carried out in the GDEM group of the UPM, and whose objective is the study of subjective quality for decoding the same set of video streams. All these video streams have been encoded with different quality parameters and image structures in order to obtain the widest set of samples. Thanks to the production of these video streams and the use of our working environment, we study the power consumption that occurs when decoding one by one all possible video streams, depending on the image structure, their quality and, of course, the decoder used in each case. Finally, we show a comparison between the different results and a discussion of these, obtaining a sum-mary of the most significant data and the main conclusions obtained during this project. Upon completion of this project and in conjunction with the project on the study of subjective quality that is being carried out in parallel, a future line of research could consist in finding the compromise between power consumption of different video streams and the subjective quality of these.

O teatro de Elias Canetti em diálogo com a pós-modernidade

The purpose of this dissertation is to analyse the dramaturgic work of the Bulgarian author Elias Canetti, composed by the plays The Wedding, Comedy of Vanity and Their Days are Numbered, seeking to comprehend how the contemporary critic theories act on his trilogy, making a dialogue with theoretical references which may justify its approaching to the postmodernism. In this perspective, the theories by Jean-François Lyotard, Fredric Jameson and Jürgen Habermas contribute for a better comprehension of the postmodernity phenomenon. Undertaking Canetti’s notes and theatre with the philosophical concepts of Adorno’s negative aesthetics, we realise there is a space to reflect upon the theories which befell, like Foucault’s power relations in Micro-physics of Power and the discourses of resistance and deterritorialisation developed by Deleuze and Guattari in A Thousand Plateau and Anti-Oedipus. Even though Canetti’s plays were written between 1932 and 1956, all of them show a strong critic against modernism, and their characteristics did not help their recognition by the critics, which resulted in a rediscovery of Canetti’s plays after the author won the Nobel Prize in 1981.

An integrated approach for distributed energy resource short term scheduling in smart grids considering realistic power system simulation

The large increase of distributed energy resources, including distributed generation, storage systems and demand response, especially in distribution networks, makes the management of the available resources a more complex and crucial process. With wind based generation gaining relevance, in terms of the generation mix, the fact that wind forecasting accuracy rapidly drops with the increase of the forecast anticipation time requires to undertake short-term and very short-term re-scheduling so the final implemented solution enables the lowest possible operation costs. This paper proposes a methodology for energy resource scheduling in smart grids, considering day ahead, hour ahead and five minutes ahead scheduling. The short-term scheduling, undertaken five minutes ahead, takes advantage of the high accuracy of the very-short term wind forecasting providing the user with more efficient scheduling solutions. The proposed method uses a Genetic Algorithm based approach for optimization that is able to cope with the hard execution time constraint of short-term scheduling. Realistic power system simulation, based on PSCAD , is used to validate the obtained solutions. The paper includes a case study with a 33 bus distribution network with high penetration of distributed energy resources implemented in PSCAD .

LMP based bid formation for virtual power players operating in smart grids

Power system organization has gone through huge changes in the recent years. Significant increase in distributed generation (DG) and operation in the scope of liberalized markets are two relevant driving forces for these changes. More recently, the smart grid (SG) concept gained increased importance, and is being seen as a paradigm able to support power system requirements for the future. This paper proposes a computational architecture to support day-ahead Virtual Power Player (VPP) bid formation in the smart grid context. This architecture includes a forecasting module, a resource optimization and Locational Marginal Price (LMP) computation module, and a bid formation module. Due to the involved problems characteristics, the implementation of this architecture requires the use of Artificial Intelligence (AI) techniques. Artificial Neural Networks (ANN) are used for resource and load forecasting and Evolutionary Particle Swarm Optimization (EPSO) is used for energy resource scheduling. The paper presents a case study that considers a 33 bus distribution network that includes 67 distributed generators, 32 loads and 9 storage units.

ANN based support for distributed energy resources scheduling in smart grids

The future scenarios for operation of smart grids are likely to include a large diversity of players, of different types and sizes. With control and decision making being decentralized over the network, intelligence should also be decentralized so that every player is able to play in the market environment. In the new context, aggregator players, enabling medium, small, and even micro size players to act in a competitive environment, will be very relevant. Virtual Power Players (VPP) and single players must optimize their energy resource management in order to accomplish their goals. This is relatively easy to larger players, with financial means to have access to adequate decision support tools, to support decision making concerning their optimal resource schedule. However, the smaller players have difficulties in accessing this kind of tools. So, it is required that these smaller players can be offered alternative methods to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), intended to support smaller players’ resource scheduling. The used methodology uses a training set that is built using the energy resource scheduling solutions obtained with a reference optimization methodology, a mixed-integer non-linear programming (MINLP) in this case. The trained network is able to achieve good schedule results requiring modest computational means.

Reactive power management strategies in future smart grids

The reactive power management in distribution network with large penetration of distributed energy resources is an important task in future power systems. The control of reactive power allows the inclusion of more distributed recourses and a more efficient operation of distributed network. Currently, the reactive power is only controlled in large power plants and in high and very high voltage substations. In this paper, several reactive power control strategies considering a smart grids paradigm are proposed. In this context, the management of distributed energy resources and of the distribution network by an aggregator, namely Virtual Power Player (VPP), is proposed and implemented in a MAS simulation tool. The proposed methods have been computationally implemented and tested using a 32-bus distribution network with intensive use of distributed resources, mainly the distributed generation based on renewable resources. Results concerning the evaluation of the reactive power management algorithms are also presented and compared.

Smart grids : better performance through communication and algorithms

There has been a developing interest in smart grids, the possibility of significantly enhanced performance from remote measurements and intelligent controls. For transmission the use of PMU signals from remote sites and direct load shed controls can give significant enhancement for large system disturbances rather than relying on local measurements and linear controls. This lecture will emphasize what can be found from remote measurements and the mechanisms to get a smarter response to major disturbances. For distribution systems there has been a significant history in the area of distribution reconfiguration automation. This lecture will emphasize the incorporation of Distributed Generation into distribution networks and the impact on voltage/frequency control and protection. Overall the performance of both transmission and distribution will be impacted by demand side management and the capabilities built into the system. In particular, we consider different time scales of load communication and response and look to the benefits for system, energy and lines.

Establishing sustainable and reliable smart grids

This paper addresses challenges part of the shift of paradigm taking place in the way we produce, transmit and use power related to what is known as smart grids. The aim of this paper is to explore present initiatives to establish smart grids as a sustainable and reliable power supply system. We argue that smart grids are not isolated to abstract conceptual models alone. We suggest that establishing sustainable and reliable smart grids depend on series of contributions including modeling and simulation projects, technological infrastructure pilots, systemic methods and training, and not least how these and other elements must interact to add reality to the conceptual models. We present and discuss three initiatives that illuminate smart grids from three very different positions. First, the new power grid simulator project in the electrical engineering PhD program at Queensland University of Technology (QUT). Second, the new smart grids infrastructure pilot run by the Norwegian Centers of Expertise Smart Energy Markets (NCE SMART). And third, the new systemic Master program on next generation energy technology at østfold University College (Hiø). These initiatives represent future threads in a mesh embedding smart grids in models, technology, infrastructure, education, skills and people.

On-line Demand Management of Low Voltage Residential Distribution Networks in Smart Grids

A novel intelligent online demand management system is discussed in this chapter for peak load management in low voltage residential distribution networks based on the smart grid concept. The discussed system also regulates the network voltage, balances the power in three phases and coordinates the energy storage within the network. This method uses low cost controllers, with two-way communication interfaces, installed in costumers’ premises and at distribution transformers to manage the peak load while maximizing customer satisfaction. A multi-objective decision making process is proposed to select the load(s) to be delayed or controlled. The efficacy of the proposed control system is verified by a MATLAB-based simulation which includes detailed modeling of residential loads and the network.

Interconnected autonomous microgrids in smart grids with self-healing

In order to minimize the number of load shedding in a Microgrid during autonomous operation, islanded neighbour microgrids can be interconnected if they are on a self-healing network and an extra generation capacity is available in Distributed Energy Resources (DER) in one of the microgrids. In this way, the total load in the system of interconnected microgrids can be shared by all the DERs within these microgrids. However, for this purpose, carefully designed self-healing and supply restoration control algorithm, protection systems and communication infrastructure are required at the network and microgrid levels. In this chapter, first a hierarchical control structure is discussed for interconnecting the neighbour autonomous microgrids where the introduced primary control level is the main focus. Through the developed primary control level, it demonstrates how the parallel DERs in the system of multiple interconnected autonomous microgrids can properly share the load in the system. This controller is designed such that the converter-interfaced DERs operate in a voltage-controlled mode following a decentralized power sharing algorithm based on droop control. The switching in the converters is controlled using a linear quadratic regulator based state feedback which is more stable than conventional proportional integrator controllers and this prevents instability among parallel DERs when two microgrids are interconnected. The efficacy of the primary control level of DERs in the system of multiple interconnected autonomous microgrids is validated through simulations considering detailed dynamic models of DERs and converters.

Modified current space vector based powerline communication method for distributed inverters interfaced smart grids

The following paper presents a Powerline Communication (PLC) Method for grid interfaced inverters, for smart grid application. The PLC method is based on the concept of the composite vector which involves multiple components rotating at different harmonic frequencies. The pulsed information is modulated on the fundamental component of the grid current as a specific repeating sequence of a particular harmonic. The principle of communication is same as that of power flow, thus reducing the complexity. The power flow and information exchange are simultaneously accomplished by the interfacing inverters based on current programmed vector control, thus eliminating the need for dedicated hardware. Simulation results have been shown for inter-inverter communication, both under ideal and distorted conditions, using various harmonic modulating signals.

Enhanced Operation of Electricity Distribution Grids Through Smart Metering PLC Network Monitoring, Analysis and Grid Conditioning

Low Voltage (LV) electricity distribution grid operations can be improved through a combination of new smart metering systems' capabilities based on real time Power Line Communications (PLC) and LV grid topology mapping. This paper presents two novel contributions. The first one is a new methodology developed for smart metering PLC network monitoring and analysis. It can be used to obtain relevant information from the grid, thus adding value to existing smart metering deployments and facilitating utility operational activities. A second contribution describes grid conditioning used to obtain LV feeder and phase identification of all connected smart electric meters. Real time availability of such information may help utilities with grid planning, fault location and a more accurate point of supply management.

Towards a Cyber-physical Resilience Framework for Smart Grids

As modern power grids move towards becoming a smart grid, there is an increasing reliance on the data that is transmitted and processed by ICT systems. This reliance introduces new digital attack vectors. Many of the proposed approaches that aim to address this problem largely focus on applying well-known ICT security solutions. However, what is needed are approaches that meet the complex concerns of the smart grid as a cyber-physical system. Furthermore, to support the automatic control loops that exist in a power grid, similarly automatic security and resilience mechanisms are needed that rely on minimal operator intervention. The research proposed in this paper aims to develop a framework that ensures resilient smart grid operation in light of successful cyber-attacks.

Evaluation of the human factor in the scheduling of smart appliances in smart grids

Recently there has been an increase of interest in implementing a new set of home appliances, known as Smart Appliances that integrate Information Technologies, the Internet of Things and the ability of communicating with other devices. While Smart Appliances are characterized as an important milestone on the path to the Smart Grid, by being able to automatically schedule their loads according to a tariff or reflecting the power that is generated using renewable sources, there is not a clear understanding on the impact that the behavior of such devices will have in the comfort levels of users, when they shift their working periods to earlier, or later than, a preset time. Given these considerations, in this work we analyse the results of an assessment survey carried out to a group of Home Appliance users regarding their habits when dealing with these machines and the subjective impact in quality caused by either finishing its programs before or after the time limit set by the user. The results of this work are expected to be used as input for the evaluation of load scheduling algorithms running in energy management systems. © 2014 Springer International Publishing.