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Load control timescales simulation in a Multi-Agent Smart Grid Platform

Load control timescales simulation in a Multi-Agent Smart Gr...

引用

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

作者： P. Oliveira L. Gomes T. Pinto P. Faria Z. Vale H. Morais GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal Automation and Control Group University of Denmark (DTU) Lyngby Denmark

ISBN: (纸本)9781479929856

Environmental concerns and the shortage in the fossil fuel reserves have been potentiating the growth and globalization of distributed generation. Another resource that has been increasing its importance is the demand response, which is used to change consumers' consumption profile, helping to reduce peak demand. Aiming to support small players' participation in demand response events, the Curtailment Service Provider emerged. This player works as an aggregator for demand response events. The control of small and medium players which act in smart grid and micro grid environments is enhanced with a multi-agent system with artificial intelligence techniques - the MASGriP (Multi-Agent Smart Grid Platform). Using strategic behaviours in each player, this system simulates the profile of real players by using software agents. This paper shows the importance of modeling these behaviours for studying this type of scenarios. A case study with three examples shows the differences between each player and the best behaviour in order to achieve the higher profit in each situation.

关键词： Remuneration ISO Smart grids Load management Contracts Load flow control

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Short-term load forecasting based on load profiling

Short-term load forecasting based on load profiling

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IEEE General Meeting Power& Energy Society

作者： Sérgio Ramos João Soares Zita Vale Sandra Ramos GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal Mathematical Department of the Institute of Engineering - Polytechnic of Porto IPP - Polytechnic Institute of Porto Porto Portugal

Load forecasting has gradually becoming a major field of research in electricity industry. Therefore, Load forecasting is extremely important for the electric sector under deregulated environment as it provides a useful support to the power system management. Accurate power load forecasting models are required to the operation and planning of a utility company, and they have received increasing attention from researches of this field study. Many mathematical methods have been developed for load forecasting. This work aims to develop and implement a load forecasting method for short-term load forecasting (STLF), based on Holt-Winters exponential smoothing and an artificial neural network (ANN). One of the main contributions of this paper is the application of Holt-Winters exponential smoothing approach to the forecasting problem and, as an evaluation of the past forecasting work, data mining techniques are also applied to short-term Load forecasting. Both ANN and Holt-Winters exponential smoothing approaches are compared and evaluated.

关键词： Load forecasting Load modeling Predictive models Artificial neural networks Forecasting Biological neural networks Smoothing methods

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Tuning meta-heuristics using multi-agent learning in a scheduling system

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作者： Pereira, Ivo Madureira, Ana De Moura Oliveira, P.B. Abraham, Ajith GECAD - Knowledge Engineering and Decision Support Group Institute of Engineering Polytechnic of Porto Porto Portugal INESC TEC - INESC Technology and Science Department of Engineering University of Trás-os-Montes e Alto Douro Vila Real Portugal . Scientific Network for Innovation and Research Excellence Auburn United States IT4Innovations - Center of Excellence VSB-Technical University of Ostrava Czech Republic

ISBN: (纸本)9783642453175

In complexity theory, scheduling problem is considered as a NP-complete combinatorial optimization problem. Since Multi-Agent Systems manage complex, dynamic and unpredictable environments, in this work they are used to model a scheduling system subject to perturbations. Meta-heuristics proved to be very useful in the resolution of NP-complete problems. However, these techniques require extensive parameter tuning, which is a very hard and time-consuming task to perform. Based on Multi-Agent Learning concepts, this article propose a Case-based Reasoning module in order to solve the parameter-tuning problem in a Multi-Agent Scheduling System. A computational study is performed in order to evaluate the proposed CBR module performance. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Multi agent systems

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Stochastic Framework for Strategic decision-making of Load-serving Entities for Day-ahead Market

Stochastic Framework for Strategic Decision-making of Load-s...

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IEEE Grenoble PowerTech Conference

作者： Mohammad Ali Fotouhi Ghazvini Pedro Faria Hugo Morais Zita Vale Sérgio Ramos GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic of Porto Porto Portugal

ISBN: (纸本)9781467356688

The deregulation of electricity markets has diversified the range of financial transaction modes between independent system operator (ISO), generation companies (GENCO) and load-serving entities (LSE) as the main interacting players of a day-ahead market (DAM). LSEs sell electricity to end-users and retail customers. The LSE that owns distributed generation (DG) or energy storage units can supply part of its serving loads when the nodal price of electricity rises. This opportunity stimulates them to have storage or generation facilities at the buses with higher locational marginal prices (LMP). The short-term advantage of this model is reducing the risk of financial losses for LSEs in DAMs and its long-term benefit for the LSEs and the whole system is market power mitigation by virtually increasing the price elasticity of demand. This model also enables the LSEs to manage the financial risks with a stochastic programming framework.

关键词： Demand-side load-serving entities locational marginal price market power stochastic programming

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Smart Grid Market Using Joint Energy and Ancillary Services Bids

Smart Grid Market Using Joint Energy and Ancillary Services ...

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IEEE Grenoble PowerTech Conference

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

ISBN: (纸本)9781467356688

The power systems operation in the smart grid context increases significantly the complexity of their management. New approaches for ancillary services procurement are essential to ensure the operation of electric power systems with appropriate levels of stability, safety, quality, equity and competitiveness. These approaches should include market mechanisms which allow the participation of small and medium distributed energy resources players in a competitive market environment. In this paper, an energy and ancillary services joint market model used by an aggregator is proposed, considering bids of several types of distributed energy resources. In order to improve economic efficiency in the market, ancillary services cascading market mechanism is also considered in the model. The proposed model is included in MASCEM – a multi-agent system electricity market simulator. A case study considering a distribution network with high penetration of distributed energy resources is presented.

关键词： Ancillary Services Electricity Markets Multiagent systems Smart grids Virtual Power Players.

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SCADA House Intelligent Management for Energy Efficiency Analysis in Domestic Consumers

SCADA House Intelligent Management for Energy Efficiency Ana...

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IEEE PES Innovative Smart Grid Technologies Conference

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

ISBN: (纸本)9781467352727

The implementation of smart homes allows the domestic consumer to be an active player in the context of the Smart Grid (SG). This paper presents an intelligent house management system that is being developed by the authors to manage, in real time, the power consumption, the micro generation system, the charge and discharge of the electric or plug-in hybrid vehicles, and the participation in Demand Response (DR) programs. The paper proposes a method for the energy efficiency analysis of a domestic consumer using the SCADA House Intelligent Management (SHIM) system. The main goal of the present paper is to demonstrate the economic benefits of the implemented method. The case study considers the consumption data of some real cases of Portuguese house consumption over 30 days of June of 2012, the Portuguese real energy price, the implementation of the power limits at different times of the day and the economic benefits analysis.

关键词： Energy Efficiency Intelligent Management Smart Home Supervisory Control and Data Acquisition (SCADA)

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Defining Electricity Tariffs Using the knowledge About the Consumers Profiles in ELECON Project

Defining Electricity Tariffs Using the Knowledge About the C...

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IEEE PES Innovative Smart Grid Technologies Conference

作者： Hugo Morais Zita Vale Pedro Faria Sergio Ramos GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal

ISBN: (纸本)9781467352727

The increasing importance of the integration of distributed generation and demand response in the power systems operation and planning, namely at lower voltage levels of distribution networks and in the competitive environment of electricity markets, leads us to the concept of smart grids. In both traditional and smart grid operation, non-technical losses are a great economic concern, which can be addressed. In this context, the ELECON project addresses the use of demand response contributions to the identification of non-technical losses. The present paper proposes a methodology to be used by Virtual Power Players (VPPs), which are entities able to aggregate distributed small-size resources, aiming to define the best electricity tariffs for several, clusters of consumers. A case study based on real consumption data demonstrates the application of the proposed methodology.

关键词： Demand response Elecon electricity tariffs nontechnical losses smart grid

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Consumers Performance Evaluation of the Participation in Demand Response Programs Using Baseline Methods

Consumers Performance Evaluation of the Participation in Dem...

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IEEE Grenoble PowerTech Conference

作者： Pedro Antunes Pedro Faria Zita Vale GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal

ISBN: (纸本)9781467356688

Demand response has gain increasing importance in the context of competitive electricity markets environment. The use of demand resources is also advantageous in the context of smart grid operation. In addition to the need of new business models for integrating demand response, adequate methods are necessary for an accurate determination of the consumers’ performance evaluation after the participation in a demand response event. The present paper makes a comparison between some of the existing baseline methods related to the consumers’ performance evaluation, comparing the results obtained with these methods and also with a method proposed by the authors of the paper. A case study demonstrates the application of the referred methods to real consumption data belonging to a consumer connected to a distribution network.

关键词： Baseline calculation demand response performance evaluation methods smart grids

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Automatic traceability acquisition framework 12

Automatic traceability acquisition framework

引用

2nd International Conference on Web Intelligence, Mining and Semantics, WIMS 2012

作者： Bettencourt, Nuno Peixoto, Rafael Silva, Nuno GECAD Knowledge and Decision Support Research Center School of Engineering Porto Portugal

ISBN: (纸本)9781450309158

In this paper we will describe an automatic traceability acquisition framework for existing web applications and how to take advantage of acquired provenance information about user actions on the Internet, namely resource uploading. We will show how traceability information provided by common websites can be stored in available Linked Open Data repositories, thus enhancing cross-domain trust upon resources published on the World Wide Web. A framework such as this is also submitted to evaluation on the popular WordPress web application, demonstrating how easily it can be deployed to existing web applications. Copyright 2012 ACM.

关键词： user generated content provenance action sensors traceability framework

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I3OM - An iterative, incremental and interactive approach for ontology navigation based on ontology modularization

I3OM - An iterative, incremental and interactive approach fo...

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4th International Conference on knowledge engineering and Ontology Development, KEOD 2012

作者： Brandão, Ricardo Maio, Paulo Silva, Nuno Knowledge Engineering and Decision Support Research Center School of Engineering Polytechnic of Porto Porto Portugal

ISBN: (纸本)9789898565303

Although ontologies are used to describe a specific domain of interest, they can grow in size exponentially, compromising their usage. Furthermore, current ontology engineering tools do not effectively support the data/information visualization and navigation described through large ontologies. To address these issues, we claim that the experience and results of navigating/browsing ontology-described data can profit from the modularization of the ontologies underlying the repositories. For that, we propose the I3OM process that facilitates ontology-oriented navigation and contextualized information retrieval by combining different ontology modularization techniques into an iterative, incremental and interactive process.

关键词： Ontology

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