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Proceedings of the Biannual World Automation Congress

作者： A. Sousa J. Faria H. Fernandes R. Gonçalves H. Paredes P. Martins J. Barroso University of Trás-os-Montes e Alto Douro Vila Real Portugal GECAD/UTAD - Knowledge Engineering and Decision Support Research Center University of Trás-os-Montes e Alto Douro Vila Real Portugal

The rapid proliferation of human population and the growth of consumption leaded to an increase of hazardous waste. This becomes a worldwide ecological and environmental challenge. According to last available statistics the estimated global municipal solid waste reached 2.02 billion tons. Unfortunately there is not only solid waste: vegetable oil, one kind of liquid waste, used in food manufacturing, is responsible for serious contamination of water resources. Its collection is profitable by recycling into biodiesel and is already regulated in some countries. However it faces several logistic issues. Major issues are related to collection delays, which lead to oil giveaway, and reduced collection [1,2]. This paper proposes a solution to some of these logistic problems introducing a system to manage cooking oil collection in order to increase collection profits. The developed system follows a defined oil collection plan in order to optimize collection routes, introducing a sensor network that triggers collection events to a central system overcoming the current collection delays and wastes. The system is being tested in a real scenario with a Portuguese cooking oil collection company.

关键词： Companies Containers Logistics Liquids Recycling Vehicles

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Typical Load Profiles in the Smart Grid Context - A Clustering Methods Comparison

Typical Load Profiles in the Smart Grid Context - A Clusteri...

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IEEE Power and Energy Society General Meeting

作者： S. Ramos J. M. M. Duarte J. Soares Z. Vale F. J. Duarte GECAD - Knowledge Engineering and Decision-Support Research Group of the Electrical Engineering Institute of Porto - Polytechnic Institute of Porto (ISEP/IPP) Rua Dr. António Bernardino de Almeida 431 4200-072 Porto Portugal

ISBN: (纸本)9781467327275

The present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer's behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.

关键词： Clustering Data Mining Load Profiles Smart Grid. Smart grids Clustering methods Public utilities Consumers LOAD Consumers load profile maximum loads Purchasing

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Increase of the Delivered Energy Probability in DES Using a Fuzzy Probabilistic Modeling

Increase of the Delivered Energy Probability in DES Using a ...

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IEEE PES Innovative Smart Grid Technologies Europe

作者： Bruno Canizes Joao Soares Zita Vale Joaquim Teixeira Knowledge Engineering and Decision Support Research Center of the School of Engineering

ISBN: (纸本)9781467325950

The paper proposes a methodology to increase the probability of delivering power to any load point by identifying new investments in distribution energy systems. The proposed methodology is based on statistical failure and repair data of distribution components and it uses a fuzzy-probabilistic modeling for the components outage parameters. The fuzzy membership functions of the outage parameters of each component are based on statistical records. A mixed integer nonlinear programming optimization model is developed in order to identify the adequate investments in distribution energy system components which allow increasing the probability of delivering power to any customer in the distribution system at the minimum possible cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 180 bus distribution network.

关键词： Distribution energy systems Fuzzy model Optimization Reliability

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USE OF DARWINIAN PARTICLE SWARM OPTIMIZATION TECHNIQUE FOR THE SEGMENTATION OF REMOTE SENSING IMAGES

USE OF DARWINIAN PARTICLE SWARM OPTIMIZATION TECHNIQUE FOR T...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Pedram Ghamisi Micael S. Couceiro Nuno M. F. Ferreira Lalit Kumar Geodesy & Geomatics Engineering Faculty K. N. Toosi University of Technology Institute of Systems and Robotics University of Coimbra Robo Corp Electrical Engineering Department Engineering Institute of Coimbra GECAD - Knowledge Engineering and Decision Support Research Center Ecosystem Management School of Environmental and Rural Science University of New England

ISBN: (纸本)9781467311601

In this work, a novel method for segmentation of Remote Sensing (RS) images based on the Darwinian Particle Swarm Optimization (DPSO) for determining the n-1 optimal n-level threshold on a given image is proposed. The efficiency of the proposed method is compared with the Particle Swarm Optimization (PSO) based segmentation method. Results show that DPSO-based image segmentation performs better than PSO-based method in a number of different measures.

关键词： Multilevel segmentation Swarm optimization Remote sensing Particle swarm optimization images remote sensing segmentation DPSO

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Fuzzy Monte Carlo mathematical model for load curtailment minimization in transmission power systems 17

Fuzzy Monte Carlo mathematical model for load curtailment mi...

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17th Power Systems Computation Conference, PSCC 2011

作者： Canizes, Bruno Vale, Zita A. Soares, João P. Khodr, H.M. GECAD - Knowledge Engineering and Decision-Support Research Center Polytechnic of Porto Porto Portugal

ISBN: (纸本)9789175012575

This paper presents a methodology which is based on statistical failure and repair data of the transmission power system components and uses fuzzy-probabilistic modeling for system component outage parameters. Using statistical records allows developing the fuzzy membership functions of system component outage parameters. The proposed hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models allows catching both randomness and fuzziness of component outage parameters. A network contingency analysis to identify any overloading or voltage violation in the network is performed once obtained the system states by Monte Carlo simulation. This is followed by a remedial action algorithm, based on optimal power flow, to reschedule generations and alleviate constraint violations and, at the same time, to avoid any load curtailment, if possible, or, otherwise, to minimize the total load curtailment, for the states identified by the contingency analysis. In order to illustrate the application of the proposed methodology to a practical case, the paper will include a case study for the Reliability Test System (RTS) 1996 IEEE 24 BUS.

关键词： Outages

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Genetic algorithm methodology applied to intelligent house control

Genetic algorithm methodology applied to intelligent house c...

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IEEE Symposium on Computational Intelligence Applications In Smart Grid

作者： Fernandes, Filipe Sousa, Tiago Silva, Marco Morais, Hugo Vale, Zita Faria, Pedro GECAD - Knowledge Engineering and Decision Support Research Center ISEP / IPP - Institute of Engineering - Polytechnic of Porto Porto Portugal

ISBN: (纸本)9781424498949

In recent years the use of several new resources in power systems, such as distributed generation, demand response and more recently electric vehicles, has significantly increased. Power systems aim at lowering operational costs, requiring an adequate energy resources management. In this context, load consumption management plays an important role, being necessary to use optimization strategies to adjust the consumption to the supply profile. These optimization strategies can be integrated in demand response programs. The control of the energy consumption of an intelligent house has the objective of optimizing the load consumption. This paper presents a genetic algorithm approach to manage the consumption of a residential house making use of a SCADA system developed by the authors. Consumption management is done reducing or curtailing loads to keep the power consumption in, or below, a specified energy consumption limit. This limit is determined according to the consumer strategy and taking into account the renewable based micro generation, energy price, supplier solicitations, and consumers' preferences. The proposed approach is compared with a mixed integer non-linear approach. © 2011 IEEE.

关键词： Smart power grids

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An optimal scheduling problem in distribution networks considering V2G

An optimal scheduling problem in distribution networks consi...

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IEEE Symposium on Computational Intelligence Applications In Smart Grid

作者： Soares, João Sousa, Tiago Morais, Hugo Vale, Zita Faria, Pedro GECAD - Knowledge Engineering and Decision Support Research Center ISEP / IPP - Institute of Engineering - Polytechnic of Porto Porto Portugal

ISBN: (纸本)9781424498949

This paper addresses the problem of energy resource scheduling. An aggregator will manage all distributed resources connected to its distribution network, including distributed generation based on renewable energy resources, demand response, storage systems, and electrical gridable vehicles. The use of gridable vehicles will have a significant impact on power systems management, especially in distribution networks. Therefore, the inclusion of vehicles in the optimal scheduling problem will be very important in future network management. The proposed particle swarm optimization approach is compared with a reference methodology based on mixed integer non-linear programming, implemented in GAMS, to evaluate the effectiveness of the proposed methodology. The paper includes a case study that consider a 32 bus distribution network with 66 distributed generators, 32 loads and 50 electric vehicles. © 2011 IEEE.

关键词： Distributed power generation

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Navigation module of Blavigator prototype

Navigation module of Blavigator prototype

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Proceedings of the Biannual World Automation Congress

作者： Telmo Adao Luis Magalhães Hugo Fernandes Hugo Paredes João Barroso INESC Technology and Science-INESC-TEC University of Trás-os-Montes and Alto Douro Vila Real Portugal Knowledge Engineering and Decision Support Research Center-GECAD/UTAD University of Trás-os-Montes and Alto Douro Vila Real Portugal University of Trás-os-Montes and Alto Douro Vila Real Portugal

People with vision disabilities deal with serious limitations while moving around. Common navigation systems do not fully address the needs of blind people, which can only be attended with an adapted product. Blavigator is a navigation system for the blind, currently being developed at the University of Trás-os-Montes e Alto Douro. Blavigator proposes a solution to enhance mobility, finding routes and providing contextual information about points of interest in user's surroundings, guiding him to a desired destination. In this paper is presented the navigation module of Blavigator that ensures a continuous feed of information with sufficient detail allowing the blind user to reach the desired destination successfully. A pilot test with 5 blindfolded persons was conducted to test the navigation module feasibility and do some performance analysis. The results are promising and provide evidence that the navigation module helps blind people to successfully reach the desired destination.

关键词： Compass Global Positioning System Prototypes Roads Geographic information systems Educational institutions

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Web Accessibility and Digital Businesses: The Potential Economic Value of Portuguese People with Disability

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Procedia Computer Science 2012年 14卷 56-64页

作者： Tânia Rocha Maximino Bessa Ramiro Gonçalves Emanuel Peres Luís Magalhães ECT/University of Trás-os-Montes e Alto Douro Quinta de Prados Vila Real 5000-000 Portugal INESC TEC (formerly INESC Porto) Campus da FEUP Rua Dr. Roberto Frias 378 OPorto 4200-465 Portugal Gecad - Knowledge Engineering and Decision Support Research Center R. Dr. António Bernardino de Almeida 431 OPorto 4200-072 Portugal

The lack of data in Portugal is a crucial problem for a full characterization and thus a full digital integration for people with disabilities. This is not only a problem of ethic dimension or equal opportunities but have also an economic dimension because excludes a consumer group with economical potential. Hence, this article focuses on the importance of the characterization of people with disabilities in a social, economic and digital perspective. It aims to emphasize their disabilities and ageing evolution, potential value in the digital business and design awareness for inclusion for improve the quality of life of people with disabilities.

关键词： Accessibility Usability Digital Business People with Disability

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Obstacle Detection using Stereo Imaging to Assist the Navigation of Visually Impaired People

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Procedia Computer Science 2012年 14卷 83-93页

作者： Paulo Costa Hugo Fernandes Paulo Martins João Barroso Leontios J. Hadjileontiadis School of Technology and Management Polytechnic Institute of Leiria 2411-901 Leiria Portugal University of Trás-os-Montes e Alto Douro 5001-801 Vila Real Portugal INESC TEC (formerly INESC Porto)/UTAD – University of Trás-os-Montes e Alto Douro 5001-801 Vila Real Portugal GECAD/UTAD – Knowledge Engineering and Decision Support Research Center Vila Real Portugal Department of Electrical and a Computer Engineering Division of Telecomunications Aristotle University of Thessaloniki Thessaloniki Greece

Assistive technology enables people to achieve independence when performing daily tasks and it enhances their overall quality of life. Visual information is the basis for most navigational tasks, so visually impaired individuals are at disadvantage due to the lack of sufficient information about their surrounding environment. With recent advances in inclusive technology it is possible to extend the support given to people with visual disabilities in terms of their mobility. In this context we propose and describe the Blavigator project, whose global objective is to assist visually impaired people in their navigation on indoor and outdoor environments. This paper is focused mainly on the Computer Vision module of the Blavigator prototype. We propose an object collision detection algorithm based on disparity images. The proposed algorithm uses a 2D Ensemble Empirical Mode Decomposition image optimization algorithm and a two layer disparity image segmentation to detect nearby objects.

关键词： Assistive technologies Obstacle detection Stereo vision Empirical Mode Decomposition

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