A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal

The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Wind power prediction plays a key role in tackling these challenges. The contribution of this paper is to propose a new hybrid approach, combining particle swarm optimization and adaptive-network-based fuzzy inference system, for short-term wind power prediction in Portugal. Significant improvements regarding forecasting accuracy are attainable using the proposed approach, in comparison with the results obtained with five other approaches.

Academic social network in EHES

This paper presents the foundations of an Academic Social Network (ASN) focusing the Bologna Declaration and the Bologna Process (BP) mobility issues using ontological support. An ASN will permit students to share commons academic interests, preferences and mobility paths in the European Higher Education Space (EHES). The description of the conceptual support is ontology based allowing knowledge sharing and reuse. An approach is presented by merging Academic Ontology to Support the Bologna Mobility Process with Friend of a Friend ontology. The resulting ontology supports the student mobility profile in the ASN. The strategies to make available, in the network, knowledge about mobility issues, are presented including knowledge discovery and simulation approaches to cover student's mobility scenarios for BP.

A review of power laws in real life phenomena

Power law distributions, also known as heavy tail distributions, model distinct real life phenomena in the areas of biology, demography, computer science, economics, information theory, language, and astronomy, amongst others. In this paper, it is presented a review of the literature having in mind applications and possible explanations for the use of power laws in real phenomena. We also unravel some controversies around power laws.

Is the electric vehicle a solution for the wind power integration in the portuguese power system?

The integration of Plug-in electric vehicles in the transportation sector has a great potential to reduce oil dependency, the GHG emissions and to contribute for the integration of renewable sources into the electricity generation mix. Portugal has a high share of wind energy, and curtailment may occur, especially during the off-peak hours with high levels of hydro generation. In this context, the electric vehicles, seen as a distributed storage system, can help to reduce the potential wind curtailments and, therefore, increase the integration of wind power into the power system. In order to assess the energy and environmental benefits of this integration, a methodology based on a unit commitment and economic dispatch is adapted and implemented. From this methodology, the thermal generation costs, the CO2 emissions and the potential wind generation curtailment are computed. Simulation results show that a 10% penetration of electric vehicles in the Portuguese fleet would increase electrical load by 3% and reduce wind curtailment by only 26%. This results from the fact that the additional generation required to supply the electric vehicles is mostly thermal. The computed CO2 emissions of the EV are 92 g CO2/kWh which become closer to those of some new ICE engines.

Increase of the Delivered Power Probability in Distribution Networks using Pareto DC Programming

A methodology to increase the probability of delivering power to any load point through the identification of new investments in distribution network components is proposed in this paper. The method minimizes the investment cost as well as the cost of energy not supplied in the network. A DC optimization model based on mixed integer non-linear programming is developed considering the Pareto front technique in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power for any customer in the distribution system at the minimum possible cost for the system operator, while minimizing the energy not supplied cost. Thus, a multi-objective problem is formulated. To illustrate the application of the proposed methodology, the paper includes a case study which considers a 180 bus distribution network

Multifunctional converter to interface renewable energy sources and electric vehicles with the power grid in smart grids context

This paper proposes a multifunctional converter to interface renewable energy sources (e.g., solar photovoltaic panels) and electric vehicles (EVs) with the power grid in smart grids context. This multifunctional converter allows deliver energy from the solar photovoltaic panels to an EV or to the power grid, and exchange energy in bidirectional mode between the EV and the power grid. Using this multifunctional converter are not required multiple conversion stages, as occurs with the traditional solutions, where are necessary two power converters to integrate the solar photovoltaic system in the power grid and also two power converters to integrate an off-board EV battery charger in the power grid (dc-dc and dc-ac power converters in both cases). Taking into account that the energy provided (or delivered) from the power grid in each moment is function of the EV operation mode and also of the energy produced from the solar photovoltaic system, it is possible to define operation strategies and control algorithms in order to increase the energy efficiency of the global system and to improve the power quality of the electrical system. The proposed multifunctional converter allows the operation in four distinct cases: (a) Transfer of energy from the solar photovoltaic system to the power grid; (b) Transfer of energy from the solar photovoltaic system and from the EV to the power grid; (c) Transfer of energy from the solar photovoltaic system to the EV or to the power grid; (d) Transfer of energy between the EV and the power grid. Along the paper are described the system architecture and the control algorithms, and are also presented some computational simulation results for the four aforementioned cases. It is also presented a comparative analysis between the traditional and the proposed solution in terms of operation efficiency and estimated cost of implementation.

Coordinación socio-política. Redes de influencia y estructuras de poder en CórdobaSocio-political coordination. Influence Networks and power structures in Córdoba.

Los mecanismos de producción y reproducción de la influencia política es una importante área de estudio de la ciencia política en las últimas décadas. En la misma se han disputado diferentes teorías, desde las que plantean la influencia predominante de grupos de poder y sectores corporativos tanto en las decisiones del estado como en las no decisiones, hasta los que plantean que existe la puja de diferentes intereses dentro del Estado pero que no existe ningún grupo predominante. El análisis de redes (network analysis) permite estudiar este objeto mediante la observación de la estructura de relaciones de los actores influyentes dentro de la política provincial. En esta area de estudio, este proyecto propone estudiar de qué manera se produce y reproduce la influencia política en la Provincia de Córdoba.Las hipótesis que plantea el proyecto son las siguientes: H1- La estructura del poder socio-político provincial adquiere una configuración reticular en la que existe un núcleo de actores que representan intereses tradicionales organizados y permite un escaso acceso de nuevas organizaciones que defienden intereses sociales difusos. H2- En el proceso de influencia sociopolítica provincial operan mecanismos de influencia interpersonales directos e indirectos (Brokerage) que permiten a los actores acceder e influir en los decisores públicos. H3- En el proceso de influencia socio-política interviene una diversidad de recursos de poder que los actores utilizan para influir las políticas públicas. Para esto se propone como objetivos del proyecto los siguientes: 1- Identificar y analizar la estructura de poder e influencia que subyace a la política provincial. 2- Analizar los intereses, actores y sectores incluidos y excluidos de la estructura de influencia política. 3- Analizar los mecanismos y recursos de producción y reproducción del poder y la influencia. 4- Analizar las áreas de política del estado provincial que resultan lugar de influencia de los actores y sectores que configuran la estructura de poder socio-política. 5- Analizar el sistema de decisión colectiva (policy domain) en dos áreas de política provincial. 6- Analizar los recursos que posibilitan a los actores ejercer poder e influencia en las áreas de políticas estudiadas. Para la verificación empírica de las hipótesis se realiza un diseño de investigación que incluye el mapeo y análisis de dos tipos de redes políticas diferentes, la "red de influencia en la política provincial" y la red de influencia en un "área de políticas públicas". La reconstrucción de las redes políticas se realizará mediante entrevistas semi-estructuradas a actores sociales y políticos en un muestreo no probabilístico de tipo "bola de nieve". La investigación pretende realizar un aporte a la comprensión de la coordinación política y, en tal sentido, espera alcanzar una adecuada descripción y comprensión de los procesos de influencia y de estructuración del poder en la Provincia de Córdoba.

A Wireless Mesh Network NS-3 Simulation Model: Implementation and Performance Comparison With a Real Test-Bed

Wireless mesh networks present an attractive communication solution for various research and industrial projects. However, in many cases, the appropriate preliminary calculations which allow predicting the network behavior have to be made before the actual deployment. For such purposes, network simulation environments emulating the real network operation are often used. Within this paper, a behavior comparison of real wireless mesh network (based on 802.11s amendment) and the simulated one has been performed. The main objective of this work is to measure performance parameters of a real 802.11s wireless mesh network (average UDP throughput and average one-way delay) and compare the derived results with characteristics of a simulated wireless mesh network created with the NS-3 network simulation tool. Then, the results from both networks are compared and the corresponding conclusion is made. The corresponding results were derived from simulation model and real-worldtest-bed, showing that the behavior of both networks is similar. It confirms that the NS-3 simulation model is accurate and can be used in further research studies.

The electricity distribution network in Saint-Petersburg area and benchmark between Saint-Petersburg and City of Stockholm related distribution companies' performance

The main objective of the Thesis is the description of the electricity distribution networks in Saint-Petersburg area and Stockholm as well. Main similarity and differences in the construction and technicalperformance are presented in the study. Present and future development and investment into the electricity distribution network of OJSC Lenenergo are viewed. The Thesis presents the overview of the power industry reform in Russia. The current state of the electricity distribution sector is described. The study views the participation of the foreign investor "Fortum Power and Heat Oy" inthe development and management of the OJSC Lenenergo. Benchmark comparison of the prices and tangible assets of the main electricity distribution companies in Saint-Petersburg and Stockholm areas is done.

The role of power relations in strategic supply management – A value net approach

Supplier relationships are key elements of supply management and thus have attracted substantial research interest among academics and practitioners. The collaborative nature of relationships has been the focus of the mainstream research, and limited interest has been channelled towards power in buyer–supplier relationships. However, power is one of the key factors determining the outcomes in many business relations. Hence, one of the main objectives of this dissertation is to clarify how power may influence the nature of buyer–supplier relationships and, moreover, the depth of collaboration. Another main objective is to clarify the role of power relations in strategic supply management. Given the different nature of relationships, the firm needs divergent strategies in its supply management in order to handle them efficiently. Power has been identified as one of the factors that affect the nature of buyer–supplier relationships, and firms should thus develop strategies for handling power relations. Three research questions are addressed in pursuit of these objectives, the aim being to clarify the sources of power, the influence of power on collaboration, and the role of buyer–supplier relationships in the firm’s supply strategy. This dissertation has two parts. The first part provides a synthesis of the overall dissertation, and the second part comprises five complementary research papers. The qualitative research method is applied in an empirical case study from the Finnish food industry. The main contribution of this dissertation is that it clarifies the role of power relations in strategic supply management in value nets, and discloses the nature of power as an influencing factor in supplier relationships. It extends the discussion on power in buyer– supplier relationships in highlighting the context of networks and raising the question of network effects on power relations. It also illustrates how power positions and power relations in value nets can be determined based on the sources of power of the network actors, and shows their influence on collaboration.

Power efficiency estimation and simulation of different control methods for the rotary screw compressor

Nowadays the energy efficiency has become one of the most concerned topics. Compressors are the equipment, which is very common in industry. Moreover, they tend to operate during long cycles and therefore even small decrease in power consumption can significantly reduce electricity costs during the year. And therefore it is important to investigate ways of increasing the energy efficiency of the compressors. In the thesis rotary screw compressor alongside with different control approaches is described. Simulation models for various control types of rotary screw compressor are developed. Analysis of laboratory equipment is conducted and results are compared with simulation. Suggestions of the real laboratory equipment improvement are given.

A general basis for quarter-power scaling in animals

It has been known for decades that the metabolic rate of animals scales with body mass with an exponent that is almost always <1, >2/3, and often very close to 3/4. The 3/4 exponent emerges naturally from two models of resource distribution networks, radial explosion and hierarchically branched, which incorporate a minimum of specific details. Both models show that the exponent is 2/3 if velocity of flow remains constant, but can attain a maximum value of 3/4 if velocity scales with its maximum exponent, 1/12. Quarterpower scaling can arise even when there is no underlying fractality. The canonical “fourth dimension” in biological scaling relations can result from matching the velocity of flow through the network to the linear dimension of the terminal “service volume” where resources are consumed. These models have broad applicability for the optimal design of biological and engineered systems where energy, materials, or information are distributed from a single source.

Power flow in distribution networks with earth return

The problems of wave propagation and power flow in the distribution network composed of an overhead wire parallel to the surface of the ground have not been satisfactorily solved. While a complete solution of the actual problem is impossible, as it is explained in the famous Carson's paper (1926), the solution of the problem, where the actual earth is replaced by a plane homogenous semi-infinite solid, is of considerable interest. In this paper, a power flow algorithm in distribution networks with earth return, based on backward-forward technique, is discussed. In this novel use of the technique, the ground is explicitly represented. In addition, an iterative method for determining impedance for modelling ground effect in the extended power flow algorithm is suggested. Results obtained from single-wire and three-wire studies using IEEE test networks are presented and discussed. (C) 2003 Elsevier Ltd. All rights reserved.

Power flow in four-wire distribution networks - General approach

The neutral wire in most power flow software is usually merged into phase wires using Kron's reduction. Since the neutral wire and the ground are not explicitly represented, neutral wire and ground currents and voltages remain unknown. In some applications, like power quality and safety analyses, loss analysis, etc., knowing the neutral wire and ground currents and voltages could be of special interest. In this paper, a general power flow algorithm for three-phase four-wire radial distribution networks, considering neutral grounding, based on backward-forward technique, is proposed. In this novel use of the technique, both the neutral wire and ground are explicitly represented. A problem of three-phase distribution system with earth return, as a special case of a four-wire network, is also elucidated. Results obtained from several case studies using medium- and low-voltage test feeders with unbalanced load, are presented and discussed.

Comparison of Reactive Power Support in Distribution Networks Provided by Capacitor Banks and Distributed Generators

This paper presents a comparison of reactive power support in distribution networks provided by switched Capacitor Banks (CBs) and Distributed Generators (DGs). Regarding switched CBs, a Tabu Search metaheuristic algorithm is developed to determine their optimal operation with the objective of reducing the power losses in the lines on the system, while meeting network constraints. on the other hand, the optimal operation of DGs is analyzed through an evolutionary Multi-Objective (MO) programming approach. The objectives of such approach are the minimization of power losses and operation cost of the DGs. The comparison of the reactive power support provided by switched CBs and DGs is carried out using a modified IEEE 34 bus distribution test system.