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International Workshop on Database and Expert Systems Applications

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

The dynamism and ongoing changes that the electricity markets sector is constantly suffering, enhanced by the huge increase in competitiveness, create the need of using simulation platforms to support operators, regulators, and the involved players in understanding and dealing with this complex environment. This paper presents an enhanced electricity market simulator, based on multi-agent technology, which provides an advanced simulation framework for the study of real electricity markets operation, and the interactions between the involved players. MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) uses real data for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations bring to different countries. Also, the development of an upper-ontology to support the communication between participating agents, provides the means for the integration of this simulator with other frameworks, such as MAN-REM (Multi-Agent Negotiation and Risk Management in Electricity Markets). A case study using the enhanced simulation platform that results from the integration of several systems and different tools is presented, with a scenario based on real data, simulating the MIBEL electricity market environment, and comparing the simulation performance with the real electricity market results.

关键词： Electricity supply industry Data models Data mining Multi-agent systems Power systems Adaptation models Context

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Distributed Energy Resources Scheduling Considering Real-Time Resources Forecast

Distributed Energy Resources Scheduling Considering Real-Tim...

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IEEE Power and Energy Society General Meeting

作者： M. Silva T. Sousa S. Ramos Z. Vale H. Morais GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Automation and Control Group Department of Electrical Engineering Technical University of Denmark (DTU)

ISBN: (纸本)9781479964161

Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and real-time time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.

关键词： Distributed Energy Resources Energy Resource Management Smart Grid Virtual Power Player

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Definition of distribution network tariffs considering distribution generation and demand response

Definition of distribution network tariffs considering distr...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： Tiago Soares Pedro Faria Zita Vale Hugo Morais GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal GECAD - Knowledge Engineering and Decision-Support Research Center / IPP - Polytechnic Institute of Porto Automation and Control Group / Technical University of Denmark (DTU) Elektrovej build. 326 DK 2800 Kgs. Lyngby Denmark

The use of distribution networks in the current scenario of high penetration of Distributed Generation (DG) is a problem of great importance. In the competitive environment of electricity markets and smart grids, Demand Response (DR) is also gaining notable impact with several benefits for the whole system. The work presented in this paper comprises a methodology able to define the cost allocation in distribution networks considering large integration of DG and DR resources. The proposed methodology is divided into three phases and it is based on an AC Optimal Power Flow (OPF) including the determination of topological distribution factors, and consequent application of the MW-mile method. The application of the proposed tariffs definition methodology is illustrated in a distribution network with 33 buses, 66 DG units, and 32 consumers with DR capacity.

关键词： Load flow Resource management Equations Pricing Mathematical model Load management

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Towards a Unified European Electricity Market: The Contribution of Data-mining to support Realistic Simulation Studies

Towards a Unified European Electricity Market: The Contribut...

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IEEE Power and Energy Society General Meeting

作者： Tiago Pinto Gabriel Santos Ivo F. Pereira Ricardo Fernandes Tiago M. Sousa Isabel Praca Zita Vale Hugo Morais GECAD - Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (ISEP/IPP) Automation and Control Group Department of Electrical Engineering Technical University of Denmark (DTU)

ISBN: (纸本)9781479964161

Worldwide electricity markets have been evolving into regional and even continental scales. The aim at an efficient use of renewable based generation in places where it exceeds the local needs is one of the main reasons. A reference case of this evolution is the European Electricity Market, where countries are connected, and several regional markets were created, each one grouping several countries, and supporting transactions of huge amounts of electrical energy. The continuous transformations electricity markets have been experiencing over the years create the need to use simulation platforms to support operators, regulators, and involved players for understanding and dealing with this complex environment. This paper focuses on demonstrating the advantage that real electricity markets data has for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations will bring to the participant countries. A case study using MASCEM (Multi-Agent System for Competitive Electricity Markets) is presented, with a scenario based on real data, simulating the European Electricity Market environment, and comparing its performance when using several different market mechanisms.

关键词： Data-Mining Electricity Markets Simulation Multi-Agent Systems Scenarios Generation

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Preliminary results on peculiar patterns in fractional coupled oscillators

Preliminary results on peculiar patterns in fractional coupl...

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IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR

作者： Carla M. A. Pinto School of Engineering Polytechnic of Porto and Center of Mathematics University of Porto and GECAD - Knowledge Engineering and Decision Support Research Center Rua Dr António Bernardino de Almeida 431 4200-072 Porto Portugal

We study peculiar dynamical patterns of a fractional derivative of complex-order network. The network consists of two rings of cells coupled through a `buffer' cell, with Z 3 × Z 5 symmetry group. Each cell is modeled by the Chen oscillator. Numerical simulations expose interesting dynamical features, such as equilibria, periodic solutions and relaxation oscillations, for distinct value of the real part of the fractional derivative of complex-order. Further work is needed to enhance our knowledge of the underlying dynamics of the network.

关键词： Oscillators Time series analysis Mathematical model Differential equations Bifurcation Simulation Educational institutions

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Dynamic Approach and Testbed for Small and Medium Players Simulation in Smart Grid Environments

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IFAC Proceedings Volumes 2014年第3期47卷 31-36页

作者： Luis Gomes Haroldo L.M. Amaral Filipe Fernandes Pedro Faria Zita Vale Carlos Ramos André N. de Souza GECAD – Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal LSISPOTI - Laboratory of Power Systems and Intelligent Techniques UNESP - Universidade Estadual Paulista Bauru São Paulo Brazil

The Smart Grid environment allows the integration of resources of small and medium players through the use of Demand Response programs. Despite the clear advantages for the grid, the integration of consumers must be carefully done. This paper proposes a system which simulates small and medium players. The system is essential to produce tests and studies about the active participation of small and medium players in the Smart Grid environment. When comparing to similar systems, the advantages comprise the capability to deal with three types of loads – virtual, contextual and real. It can have several loads optimization modules and it can run in real time. The use of modules and the dynamic configuration of the player results in a system which can represent different players in an easy and independent way. This paper describes the system and all its capabilities.

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Realistic Traffic Scenarios Using a Census Methodology: Vila Real Case Study

Realistic Traffic Scenarios Using a Census Methodology: Vila...

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IEEE Power and Energy Society General Meeting

作者： Joao Soares Cristina Lobo Zita Vale P. B. de Moura Oliveira GECAD - Knowledge Engineering and Decision-Support Research Centre Polytechnic of Porto (ISEP/IPP) INESC TEC - INESC Technology and Science UTAD University

ISBN: (纸本)9781479964161

This paper presents the first phase of the redevelopment of the Electric Vehicle Scenario Simulator (EVeSSi) tool. A new methodology to generate traffic demand scenarios for the Simulation of Urban MObility (SUMO) tool for urban traffic simulation is described. This methodology is based on a Portugal census database to generate a synthetic population for a given area under study. A realistic case study of a Portuguese city, Vila Real, is assessed. For this area the road network was created along with a synthetic population and public transport. The traffic results were obtained and an electric buses fleet was evaluated assuming that the actual fleet would be replaced in a near future. The energy requirements to charge the electric fleet overnight were estimated in order to evaluate the impacts that it would cause in the local electricity network.

关键词： Electric buses Electric vehicles Simulation Traffic simulation

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Load profiling tool to support smart grid operation scenarios

Load profiling tool to support smart grid operation scenario...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： Sérgio Ramos Isabel Praça Zita Vale Tiago M. Sousa Vera Faria GECAD - Knowledge Engineering and Decision-Support Research Center Institute of Engineering - Polytechnic of Porto (ISEP/IPP) Rua Dr. António Bernardino de Almeida 431 4200-072 Porto Portugal

This paper presents the characterization of high voltage (HV) electric power consumers based on a data clustering approach. The typical load profiles (TLP) are obtained selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The choice of the best partition is supported using several cluster validity indices. The proposed data-mining (DM) based methodology, that includes all steps presented in the process of knowledge discovery in databases (KDD), presents an automatic data treatment application in order to preprocess the initial database in an automatic way, allowing time saving and better accuracy during this phase. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers' consumption behavior. To validate our approach, a case study with a real database of 185 HV consumers was used.

关键词： Clustering algorithms Electricity Load modeling Databases Partitioning algorithms Smart grids Classification algorithms

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Study of load curves concerning the influence of socioeconomic and cultural issues

Study of load curves concerning the influence of socioeconom...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Danilo S. Gastaldello André N. de Souza Haroldo L. M. do Amaral Pedro Faria Zita Vale Department of Electrical Engineering Polytechnic School USP-University of São Paulo Department of Electrical Engineering UNESP - São Paulo State University GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto

ISBN: (纸本)9781479977215

The increase of electricity demand in Brazil, the lack of the next major hydroelectric reservoirs implementation, and the growth of environmental concerns lead utilities to seek an improved system planning to meet these energy needs. The great diversity of economic, social, climatic, and cultural conditions in the country have been causing a more difficult planning of the power system. The work presented in this paper concerns the development of an algorithm that aims studying the influence of the issues mentioned in load curves. Focus is given to residential consumers. The consumption device with highest influence in the load curve is also identified. The methodology developed gains increasing importance in the system planning and operation, namely in the smart grids context.

关键词： Economics Cultural differences Meteorology Energy consumption Planning Algorithm design and analysis Smart grids

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Domestic Consumption Simulation and Management Using a Continuous Consumption Management and Optimization Algorithm

Domestic Consumption Simulation and Management Using a Conti...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： Luis Gomes Pedro Faria Filipe Fernandes Zita Vale Carlos Ramos GECAD - Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (IPP)

ISBN: (纸本)9781479936571

The recent changes concerning the consumers' active participation in the efficient management of load devices for one's own interest and for the interest of the network operator, namely in the context of demand response, leads to the need for improved algorithms and tools. A continuous consumption optimization algorithm has been improved in order to better manage the shifted demand. It has been done in a simulation and user-interaction tool capable of being integrated in a multi-agent smart grid simulator already developed, and also capable of integrating several optimization algorithms to manage real and simulated loads. The case study of this paper enhances the advantages of the proposed algorithm and the benefits of using the developed simulation and user interaction tool.

关键词： Energy consumption Energy management Optimization Power system simulation

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