Data Reduction of Power System Disturbances using Wavelet Transforms for Network Operation and Control

Wavelet transforms provide basis functions for time-frequency analysis and have properties that are particularly useful for compression of analogue point on wave transient and disturbance power system signals. This paper evaluates the reduction properties of the wavelet transform using real power system data and discusses the application of the reduction method for information transfer in network communications.

A Cyber-Physical Security Analysis of Synchronous-Islanded Microgrid Operation

Cyber-security research in the field of smart grids is often performed with a focus on either the power and control domain or the Information and Communications Technology (ICT) domain. The characteristics of the power equipment or ICT domain are commonly not collectively considered. This work provides an analysis of the physical effects of cyber-attacks on microgrids – a smart grid construct that allows continued power supply when disconnected from a main grid. Different types of microgrid operations are explained (connected, islanded and synchronous-islanding) and potential cyber-attacks and their physical effects are analyzed. A testbed that is based on physical power and ICT equipment is presented to validate the results in both the physical and ICT domain.

Dynamic network rating for low carbon distribution network operation:a U.K. application

Dynamic asset rating (DAR) is one of the number of techniques that could be used to facilitate low carbon electricity network operation. Previous work has looked at this technique from an asset perspective. This paper focuses, instead, from a network perspective by proposing a dynamic network rating (DNR) approach. The models available for use with DAR are discussed and compared using measured load and weather data from a trial network area within Milton Keynes in the central area of the U.K. This paper then uses the most appropriate model to investigate, through a network case study, the potential gains in dynamic rating compared to static rating for the different network assets - transformers, overhead lines, and cables. This will inform the network operator of the potential DNR gains on an 11-kV network with all assets present and highlight the limiting assets within each season.

Thermal modelling for dynamic transformer rating in low carbon distribution network operation

Dynamic asset rating is one of a number of techniques that could be used to facilitate low carbon electricity network operation. This paper focusses on distribution level transformer dynamic rating under this context. The models available for use with dynamic asset rating are discussed and compared using measured load and weather conditions from a trial Network area within Milton Keynes. The paper then uses the most appropriate model to investigate, through simulation, the potential gains in dynamic rating compared to static rating under two transformer cooling methods to understand the potential gain to the Network Operator.

Power quality improvements in low voltage distribution networks containing distributed energy resources

In this thesis various schemes using custom power devices for power quality improvement in low voltage distribution network are studied. Customer operated distributed generators makes a typical network non-radial and affect the power quality. A scheme considering different algorithm of DSTATCOM is proposed for power circulation and islanded operation of the system. To compensate reactive power overflow and facilitate unity power factor, a UPQC is introduced. Stochastic analysis is carried out for different scenarios to get a comprehensive idea about a real life distribution network. Combined operation of static compensator and voltage regulator is tested for the optimum quality and stability of the system.

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.

Transient stability analysis of electric energy systems via a fuzzy ART-ARTMAP neural network

This work presents a methodology to analyze transient stability (first oscillation) of electric energy systems, using a neural network based on ART architecture (adaptive resonance theory), named fuzzy ART-ARTMAP neural network for real time applications. The security margin is used as a stability analysis criterion, considering three-phase short circuit faults with a transmission line outage. The neural network operation consists of two fundamental phases: the training and the analysis. The training phase needs a great quantity of processing for the realization, while the analysis phase is effectuated almost without computation effort. This is, therefore the principal purpose to use neural networks for solving complex problems that need fast solutions, as the applications in real time. The ART neural networks have as primordial characteristics the plasticity and the stability, which are essential qualities to the training execution and to an efficient analysis. The fuzzy ART-ARTMAP neural network is proposed seeking a superior performance, in terms of precision and speed, when compared to conventional ARTMAP, and much more when compared to the neural networks that use the training by backpropagation algorithm, which is a benchmark in neural network area. (c) 2005 Elsevier B.V. All rights reserved.

Real-World Energy Measurements of a Wireless Mesh Network

Over the past several years the topics of energy consumption and energy harvesting have gained significant importance as a means for improved operation of wireless sensor and mesh networks. Energy-awareness of operation is especially relevant for application scenarios from the domain of environmental monitoring in hard to access areas. In this work we reflect upon our experiences with a real-world deployment of a wireless mesh network. In particular, a comprehensive study on energy measurements collected over several weeks during the summer and the winter period in a network deployment in the Swiss Alps is presented. Energy performance is monitored and analysed for three system components, namely, mesh node, battery and solar panel module. Our findings cover a number of aspects of energy consumption, including the amount of load consumed by a mesh node, the amount of load harvested by a solar panel module, and the dependencies between these two. With our work we aim to shed some light on energy-aware network operation and to help both users and developers in the planning and deployment of a new wireless (mesh) network for environmental research.

Design of a robust grid interface system for PMSG-based wind turbine generators

A robust and reliable grid power interface system for wind turbines using a permanent-magnet synchronous generator (PMSG) is proposed in this paper, where an integration of a generator-side three-switch buck-type rectifier and a grid-side Z-source inverter is employed as a bridge between the generator and the grid. The modulation strategy for the proposed topology is developed from space-vector modulation and Z-source network operation principles. Two PMSG control methods, namely, unity-power-factor control and rotor-flux-orientation control (Id = 0), are studied to establish an optimized control scheme for the generator-side three-switch buck-type rectifier. The system control scheme decouples active- and reactive-power control through voltage-oriented control and optimizes PMSG control for the grid- and generator-side converters independently. Maximum power point tracking is implemented by adjusting the shoot-through duty cycles of the Z-source network. The design considerations of the passive components are also provided. The performances and practicalities of the designed architecture have been verified by simulations and experiments.

A emergência da banda de rock Forfun: um estudo sobre estratégias comunicacionais, complexidade, tecnologia e redes

O advento das tecnologias digitais permitiu alterações significativas na maneira de produzir, divulgar e consumir música. As grandes gravadoras deixaram de ser os principais agentes articuladores da indústria da música, que está cada vez mais organizada em rede. A produção musical cresce de forma exponencial e está atomizada e espalhada por uma miríade de artistas de todos os níveis. Entretanto, só alguns se destacam em meio a essa galáxia de produtores de conteúdo e conseguem atingir algum grau de sustentabilidade. Estes são aqueles que conhecem as regras de funcionamento dessa rede, ainda que não saibam explicitá-las. O objetivo do presente trabalho é contribuir para a construção do enunciado dessas regras. Para tanto, consultou-se literatura sobre música e comunicação produzida por pesquisadores ligados aos Estudos Culturais, na qual se pôde identificar o grande número de variáveis envolvidas na questão, e por isso buscou-se uma articulação com a noção de sistemas complexos. Em função do tipo de objeto e da abordagem propostos, foi realizado um estudo de caso sobre a banda de rock Forfun, que possibilitou, a partir da comparação com outros casos de sustentabilidade, identificar linhas gerais de conduta e oportunidade que acabam por revelar certas regras

Gestão de qualidade de serviço baseada em políticas

A evolução observada nas redes de comunicações durante a última década traduziu-se na diversificação de serviços que utilizam a rede, no aumento das taxas de transferência e na massificação da utilização de serviços de acesso à Internet e de comunicações celulares. Durante esta década, várias organizações, das quais se destacam os operadores de telecomunicações, têm dedicado consideráveis esforços no sentido de definir e normalizar arquitecturas de redes de próxima geração. A principal característica deste tipo de rede reside no facto de possuir uma arquitectura modular capaz de fornecer serviços multimédia a clientes de uma rede de acesso com características tecnológicas heterogéneas. Os trabalhos de normalização das arquitecturas de rede NGN têm-se limitado, até ao momento, a especificar detalhes relativos ao funcionamento da rede não tendo ainda sido definida a arquitectura de gestão. Em termos de tecnologias de gestão de redes, foram propostos nas últimas duas décadas novos paradigmas de gestão, novos modelos de dados, novos protocolos de transporte e várias linguagens de definição de informação de gestão. Os modelos de dados têm vindo a ser enriquecidos, os protocolos são mais flexíveis e poderosos, as soluções de gestão oferecem interoperabilidade acrescida e as linguagens permitem definir formatos de configuração mais ricos. Simultaneamente tem crescido a complexidade das soluções de gestão, aumentado a sobrecarga causada pelo aumento de complexidade nos equipamentos bem como nas plataformas computacionais que suportam os sistemas de gestão. O presente trabalho propõe uma solução de gestão para redes NGN capaz de gerir os recursos de rede garantindo Qualidade de Serviço. A solução de gestão proposta inclui uma plataforma de execução de políticas que utiliza os eventos ocorridos na rede para empreender acções de configuração, autonomizando o processo de gestão. Inclui uma avaliação da complexidade de várias tecnologias de gestão estudando a sobrecarga causada pela tecnologia tanto no processo de gestão como na operação da rede. É ainda estudada a escalabilidade das várias tecnologias e analisado o seu comportamento num cenário da rede de um operador de telecomunicações. O trabalho propõe ainda uma metodologia de configuração integrada dos elementos de gestão, através de uma interface de configuração amigável para o administrador do sistema.

Técnicas de eficiência energética em redes móveis usando o tráfego como referência

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia de Electrónica e Telecomunicações

Optimização da lista de células vizinhas em redes LTE

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia de Electrónica e Telecomunicações

Quantum-based Particle Swarm Optimization Application to Studies of Aggregated Consumption Shifting and Generation Scheduling in Smart Grids

Demand response programs and models have been developed and implemented for an improved performance of electricity markets, taking full advantage of smart grids. Studying and addressing the consumers’ flexibility and network operation scenarios makes possible to design improved demand response models and programs. The methodology proposed in the present paper aims to address the definition of demand response programs that consider the demand shifting between periods, regarding the occurrence of multi-period demand response events. The optimization model focuses on minimizing the network and resources operation costs for a Virtual Power Player. Quantum Particle Swarm Optimization has been used in order to obtain the solutions for the optimization model that is applied to a large set of operation scenarios. The implemented case study illustrates the use of the proposed methodology to support the decisions of the Virtual Power Player in what concerns the duration of each demand response event.