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International Conference on European Electricity Market, EEM

作者： Gabriel Santos Tiago Pinto Hugo Morais Isabel Praça Zita Vale Institute of Engineering-Polytechnic Institute of Porto (ISEP/IPP) GECAD-Knowledge Engineering and Decision Support Research Center Porto Portugal

The restructuring that the energy sector has suffered in industrialized countries originated a greater complexity in market players' interactions, and thus new problems and issues to be addressed. decision support tools that facilitate the study and understanding of these markets become extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent system for simulating competitive electricity markets. To provide MASCEM with the capacity to recreate the electricity markets reality in the fullest possible extent, it is essential to make it able to simulate as many market models and player types as possible. This paper presents the development of the Complex Market in MASCEM. This module is fundamental to study competitive electricity markets, as it exhibits different characteristics from the already implemented market types.

关键词： Electricity supply industry Production Multiagent systems Proposals Europe Fluctuations Contracts

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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 (CIASG)

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

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.

关键词： Genetic algorithms Optimization Load management Context Energy consumption SCADA systems Artificial intelligence

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Transmission costs allocation based on optimal re-dispatch

Transmission costs allocation based on optimal re-dispatch

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International Conference on European Electricity Market, EEM

作者： Judite Ferreira Zita Vale Tiago Sousa Bruno Canizes José Puga GECAD-Knowledge Engineering and Decision Support Research Center Institute of Engineering-Polytechnic Institute of Porto (ISEP/IPP) Porto Portugal

Congestion management of transmission power systems has achieve high relevance in competitive environments, which require an adequate approach both in technical and economic terms. This paper proposes a new methodology for congestion management and transmission tariff determination in deregulated electricity markets. The congestion management methodology is based on a reformulated optimal power flow, whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the transactions resulting from market operation. The proposed transmission tariffs consider the physical impact caused by each market agents in the transmission network. The final tariff considers existing system costs and also costs due to the initial congestion situation and losses. This paper includes a case study for the 118 bus IEEE test case.

关键词： Generators Load flow Finance Resource management Production Reactive power ISO

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Tuning of pid controllers by using memetic algorithms

Tuning of pid controllers by using memetic algorithms

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31st IASTED International Conference on Modelling, Identification, and Control, MIC 2011

作者： Paiva, Leonardo S. Jesus, Isabel S. Barbosa, Ramiro S. Dept. of Electrical Engineering Institute of Engineering of Porto Rua Dr. António Bernardino de Almeida 431 Porto Portugal GECAD-Knowledge Engineering and Decision Support Research Center Institute of Engineering of Porto Rua Dr. António Bernardino de Almeida 431 Porto Portugal

ISBN: (纸本)9780889868632

One of the most used algorithms in practical applications is the well-known PID controller, which reveals to be effective in the control of many industrial processes. In this work, we use the techniques of evolutionary computation in order to obtain optimum values for the PID controller parameters. For that, a combination of genetic algorithms (GAs) and local search function, is used. The resulting Memetic Algorithm (MA) provides superior performance than the GAs and other similar tuning techniques.

关键词： Genetic algorithms

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Fuzzy control architecture for a mobile robot system

Fuzzy control architecture for a mobile robot system

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31st IASTED International Conference on Modelling, Identification, and Control, MIC 2011

作者： Osório, Dário J. Barbosa, Ramiro S. Silva, Manuel F. Dept. of Electrical Engineering Institute of Engineering of Porto Rua Dr. António Bernardino de Almeida 431 Porto Portugal GECAD-Knowledge Engineering Decision Support Research Center Institute of Engineering of Porto Rua Dr. António Bernardino de Almeida 431 Porto Portugal

ISBN: (纸本)9780889868632

This paper presents the development of an autonomous mobile robot controlled by a fuzzy logic controller (FLC). The robot is capable of performing several behavior-based tasks, such as to follow walls and avoid obstacles, and can be used for the embodiment of different behaviors. Experimental results are given to assess the performance of the FLC and to validate the adopted design options for the construction and control of the robot.

关键词： Fuzzy control

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Extending the dimensional templates approach to integrate complex multidimensional design concepts

Extending the dimensional templates approach to integrate co...

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Lecture Notes in Computer Science

作者： Oliveira, Rui Rodrigues, Fátima Martins, Paulo Moura, João Paulo Informatics Department School of Technology and Management Polytechnic Institute of Leiria Portugal Informatics Engineering Dept. School of Engineering Polytechnic Inst. of Porto Portugal GECAD-Knowledge Engineering and Decision Support Research Center Informatics Engineering Dept. University of Trás-os-Montes e Alto Douro Portugal

ISBN: (纸本)9783642235436

In the past, several approaches have been devised to semi- automate the multidimensional design (MDD) of Data Warehouse (DW) projects. Such approaches highly contribute to more expertise- independent and deterministic MDD results. Among them, only the Dimensional Templates Approach (DTA) focuses on solving the critical resource containment problems of DW prototypes. Originally, the DTA allows solely the generation of basic MDDs. In this paper, we depict an extension to address complex MDD issues. These include (i) date/time hierarchies, (ii) many-to-many relationships, (iii) hierarchically structured data and (iv) coverage facts. The proposed enhancements, including a rebuilt generation algorithm, allow more accurate and broadening results than the original DTA. Throughout the paper, references are made to a real case study to which the improved DTA has been applied using two developed prototype tools. © 2011 Springer-Verlag.

关键词： Data warehouses

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Contextual intelligent load management with ANN adaptive learning module

Contextual intelligent load management with ANN adaptive lea...

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International Conference on Intelligent Systems Applications to Power Systems (ISAP)

作者： Luís Gomes Filipe Fernandes Tiago Sousa Marco Silva Hugo Morais Zita Vale Carlos Ramos GECAD-Knowledge Engineering and Decision-Support Research Group of the Institute of Engineering Polytechnic of Porto (ISEP IPP) Porto Portugal

With the current increase of energy resources prices and environmental concerns intelligent load management systems are gaining more and more importance. This paper concerns a SCADA House Intelligent Management (SHIM) system that includes an optimization module using deterministic and genetic algorithm approaches. SHIM undertakes contextual load management based on the characterization of each situation. SHIM considers available generation resources, load demand, supplier/market electricity price, and consumers' constraints and preferences. The paper focus on the recently developed learning module which is based on artificial neural networks (ANN). The learning module allows the adjustment of users' profiles along SHIM lifetime. A case study considering a system with fourteen discrete and four variable loads managed by a SHIM system during five consecutive similar weekends is presented.

关键词： Continuous wavelet transforms Artificial neural networks Training Data acquisition Microwave theory and techniques

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Distribution Network Short Term Scheduling in Smart Grid Context

Distribution Network Short Term Scheduling in Smart Grid Con...

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IEEE Power and Energy Society General Meeting

作者： M. Silva H. Morais Z. A. Vale GECAD - Knowledge Engineering and Decision-Support Research Group of the Electrical Engineering Institute of Porto - Polytechnic Institute of Porto (ISEP/IPP)

ISBN: (纸本)9781457710001

The large increase of Distributed Generation (DG) in Power Systems (PS) and specially in distribution networks makes the management of distribution generation resources an increasingly important issue. Beyond DG, other resources such as storage systems and demand response must be managed in order to obtain more efficient and "green" operation of PS. More players, such as aggregators or Virtual Power Players (VPP), that operate these kinds of resources will be appearing. This paper proposes a new methodology to solve the distribution network short term scheduling problem in the Smart Grid context. This methodology is based on a Genetic Algorithms (GA) approach for energy resource scheduling optimization and on PSCAD software to obtain realistic results for power system simulation. The paper includes a case study with 99 distributed generators, 208 loads and 27 storage units. The GA results for the determination of the economic dispatch considering the generation forecast, storage management and load curtailment in each period (one hour) are compared with the ones obtained with a Mixed Integer Non-Linear Programming (MINLP) approach.

关键词： Energy Resources Scheduling Genetic Algorithm Mixed Integer Non-Linear Programming Power grids Genetic Algorithm (GA) Mixed integer linear programming Smart grids Power system simulation storage units Energy sources Demand-Responsive Cache Memory System short duration

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The SmartVision navigation prototype for blind users

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2011年第5期5卷 351-361页

作者： Hans du Buf, J.M. Barroso, João Rodrigues, João M F. Paredes, Hugo Farrajota, Miguel Fernandes, Hugo José, João Teixeira, Victor Saleiro, Mário Faro Portugal GECAD Knowledge Eng. and Decision Support Research Group Inst. of Engineering of Porto Portugal Vila Real Portugal

The goal of the Portuguese project SmartVision: active vision for the blind is to develop a small, portable and cheap yet intelligent and reliable system for assisting the blind and visually impaired while navigating autonomously, both in- and outdoor. In this article we present an overview of the prototype, design issues, and its different modules which integrate GPS and Wi-Fi localisation with a GIS, passive RFID tags, and computer vision. The prototype addresses global navigation for going to some destiny, by following known landmarks stored in the GIS in combination with path optimisation, and local navigation with path and obstacle detection just beyond the reach of the white cane. The system does not replace the white cane but complements it, in order to alert the user to looming hazards. In addition, computer vision is used to identify objects on shelves, for example in a pantry or refrigerator. The user-friendly interface consists of a four-button hand-held box, a vibration actuator in the handle of the white cane, and speech synthesis. In the near future, passive RFID tags will be complemented by active tags for marking navigation landmarks, and speech recognition may complement or substitute the vibration actuator.

关键词： Actuators

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Simulated Annealing Metaheuristic to Solve the Optimal Power Flow

Simulated Annealing Metaheuristic to Solve the Optimal Power...

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IEEE Power and Energy Society General Meeting

作者： T. Sousa J. Soares Z. A. Vale H. Morais P. Faria GECAD - Knowledge Engineering and Decision-Support Research Group of the Electrical Engineering Institute of Porto - Polytechnic Institute of Porto (ISEP/IPP)

ISBN: (纸本)9781457710001

The optimal power flow problem has been widely studied in order to improve power systems operation and planning. For real power systems, the problem is formulated as a non-linear and as a large combinatorial problem. The first approaches used to solve this problem were based on mathematical methods which required huge computational efforts. Lately, artificial intelligence techniques, such as metaheuristics based on biological processes, were adopted. Metaheuristics require lower computational resources, which is a clear advantage for addressing the problem in large power systems. This paper proposes a methodology to solve optimal power flow on economic dispatch context using a Simulated Annealing algorithm inspired on the cooling temperature process seen in metallurgy. The main contribution of the proposed method is the specific neighborhood generation according to the optimal power flow problem characteristics. The proposed methodology has been tested with IEEE 6 bus and 30 bus networks. The obtained results are compared with other well-known methodologies presented in the literature, showing the effectiveness of the proposed method.

关键词： Artificial Intelligence Economic Dispatch Optimal Power Flow Optimization Method Simulated Annealing optimal load flow simulated annealing Artificial Intelligence Power flow power systems Bus networks optimization method simulated annealing algorithm

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