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The Effect of Demand Response in the Minimum Available Reserve of Energy Management

The Effect of Demand Response in the Minimum Available Reser...

引用

IEEE Power and Energy Society General Meeting

作者： Joao Soares Nuno Borges Ali Fotouhi Zita Vale GECAD - Knowledge Engineering and Decision-Support Research Centre Polytechnic of Porto (ISEP/IPP)

ISBN: (纸本)9781509041695

This paper presents a multi-objective energy scheduling for the daily operation of, a Smart Grid (SG) considering maximization of the minimum available reserve in addition to the cost minimization, to take into account the reliability requirements of critical and vulnerable loads. A Virtual Power Player (VPP) manages the day-ahead energy resource scheduling in the smart grid, considering Distributed Generation (DG) and Vehicle-To-Grid (V2G), while maintaining a highly reliable power for the critical loads. This work considers high penetration of critical loads, e.g. industrial processes that require high power quality, high reliability and few interruptions. A mathematical formulation is described and a deterministic technique based on Mixed-Integer Linear Programming (MILP) is used to solve the multi-objective problem. The effect of some customers with DR in this context is analyzed to assess the benefits in the energy scheduling problem. A case study using a 180-bus Portuguese distribution network with 90 load points, several DG units and a large fleet of Electric Vehicles (EVs) with V2G is used to illustrate the performance of the proposed method.

关键词： Electric Vehicles Multi-objective optimization Pareto front Mixed-Integer Linear Programming Smart Grid Smart grids Electric vehicles Demand-Responsive recoverable deposits Mixed integer linear programming Energy management critical load Energy sources

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Electrical Energy Consumption Forecast Using support Vector Machines

Electrical Energy Consumption Forecast Using Support Vector ...

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International Workshop on Database and Expert Systems Applications

作者： Eugénia Vinagre Tiago Pinto Sérgio Ramos Zita Vale Juan M. Corchado Polytechnic of Porto GECAD - Knowledge Engineering and Decision Support Research Center Portugal BISITE Research Centre University of Salamanca Salamanca Spain

ISBN: (纸本)9781509036363

Smart Grid (SG) concept is defined as an electricity network operated intelligently to integrate the behavior and actions of all energy resources connected to the network to ensure efficient, sustainable, economic and secure supply of electricity. This concept emerged in recent decades not only for economic reasons but also ecological and even political. SG have been the subject of major studies and investments and continues to represent an area of enormous challenges. Some of the problems of intelligent systems connected to the managed SG are: the real-time processing optimization algorithms and demand response programs; and more accurate predictions in the management of production and consumption. This paper presents a case study for evaluating the performance and accuracy of energy consumption forecast with use of SVM (support Vector Machines) in different frameworks.

关键词： support vector machines Business Forecasting Training data Optimization Kernel MATLAB

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Weighted sum approach using parallel Particle Swarm Optimization to solve multi-objective energy scheduling

Weighted sum approach using parallel Particle Swarm Optimiza...

引用

IEEE PES Transmission and Distribution Conference and Exposition

作者： Nuno Borges João Soares Zita Vale Bruno Canizes Polytechnic of Porto (ISEP/IPP) GECAD - Knowledge Engineering and Decision-Support Research Centre Porto Portugal

This paper presents a Particle Swarm Optimization (PSO) methodology to solve the problem of energy resource management with high penetration of Distributed Generation (DG) and Electric Vehicles (EVs), based in multi-objective optimization. The high penetration of unpredictable DG, results in the increase of the operation cost, due to the additional constraints on the system, and has a direct influence on the reducing of carbon dioxide (CO2) emissions. The proposed methodology consists in a multi-objective function, in which is intended to maximize the profit, corresponding to the difference between the income and operating costs, and minimize CO2 emissions. In this case study it was considered a real Spanish electric network, from the city of Zaragoza, applied to the productions and consumption values expected in 2030. This network is constituted by 1300 EVs and 70% DG penetration of its total installed capacity.

关键词： Energy resources Discharges (electric) Particle swarm optimization Optimization Production Photovoltaic systems

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Publishing real-time microgrid consumption data on the web of Linked Data

Publishing real-time microgrid consumption data on the web o...

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Clemson University Power Systems Conference (PSC)

作者： Luis Gomes Maxime Lefrançois Pedro Faria Zita Vale GECAD - Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (IPP) Porto Portugal École Nationale Supérieure des Mines Laboratoire Hubert Curien Saint-Etienne France

Decentralising the power systems management brings clear advantages for the grid and for the stakeholders (consumers, generators, operational and management actors). The grid decentralisation can be achieved using microgrids. Some microgrids emerge worldwide, working as small energy islands. It is admitted that ontologies and open (Semantic) Web standards can form a basis for advanced communication architectures in smart grids. True, ontologies enable semantic interoperability and logical reasoning; the Linked Data principles enable the discovery of new information on the web. This paper reports on the use of these formalisms and principles to develop a new information system for a microgrid site already in place. More specifically, we developed a new ontology to represent time series of multiple observations, and made real-time consumption data available on the web as Linked Data. This enables consumption reporting, and enables other researchers to test their algorithms against real-time consumption data.

关键词： Microgrids Buildings Semantic Web Phase measurement Reactive power Smart grids Real-time systems

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Real-time simulation of renewable energy transactions in microgrid context using real hardware resources

Real-time simulation of renewable energy transactions in mic...

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IEEE PES Transmission and Distribution Conference and Exposition

作者： Omid Abrishambaf Luis Gomes Pedro Faria Joao L. Afonso Zita Vale GECAD - Knowledge Engineering and Decision Support Research Centre Polytechnic of Porto (IPP) Porto Portugal GEPE - Group of Energy and Power Electronics University of Minho Guimaraes Portugal

The recent changes on the electrical power systems make the role of distributed generation more important. Employing distributed generation in demand side allows the consumers to have active participation in the electricity markets. This paper implements the real-time simulation of a local microgrid that consists of two subsystems: home area network and neighborhood area network. In this system, the home area network is the electrical grid of a house and the neighborhood area network is the low voltage electrical distribution grid of the neighborhood. The main contribution of this paper is to assess scenarios for energy transactions between these two areas using real resources. In the case studies, several real profiles have been employed for simulating the consumption and generation of this local microgrid.

关键词： Real-time systems Microgrids Wind turbines DC motors Hardware Renewable energy sources Load modeling

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ECG signal prediction for destructive motion artefacts 1

引用

6th International Symposium on Ambient Intelligence, ISAmI 2015

作者： Meireles, António Figueiredo, Lino Lopes, Luís Seabra Anacleto, Ricardo GECAD—Knowledge Engineering and Decision Support Research Center School of Engineering—Polytechnic of Porto Porto Portugal IEETA—Institute of Electronics and Telematics Engineering of Aveiro Aveiro Portugal

ISBN: (数字)9783319196954

ISBN: (纸本)9783319196947

This paper addresses the ability of Burg algorithm to predict the ECG signal when it was completely destroyed by motion artefacts. The application focus of this study is portable devices used in telemedicine and healthcare, where the daily activity of patients produces several contact losses and movements of electrodes on the skin. The paper starts with a short analysis of noise sources that affects the ECG signal, followed by the algorithm implementation and the results. The obtained results show that Burg algorithm is a very promising technique to predict the ECG signal for at least three sequential heart beats. © Springer International Publishing Switzerland 2015.

关键词： Electrocardiograms

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Step count and classification using sensor information fusion 1

引用

6th International Symposium on Ambient Intelligence, ISAmI 2015

作者： Anacleto, Ricardo Figueiredo, Lino Almeida, Ana Novais, Paulo Meireles, António GECAD—Knowledge Engineering and Decision Support Research Center School of Engineering—Polytechnic of Porto Porto Portugal CCTC-Computer Science and Technology Center University of Minho Braga Portugal

ISBN: (数字)9783319196954

ISBN: (纸本)9783319196947

In order to suppress the GNSS (Global Navigation Satellite System) limitation to track persons in indoor or in dense environments, a pedestrian inertial navigation system can be used. However, this type of systems have huge location estimation errors due to the Pedestrian Dead Reckoning (PDR) characteristics and the use of low-cost inertial sensors. To suppress some of these errors we propose a system that uses several sensors spread in person's body combined with information fusion techniques. Information fusion techniques provide lighter algorithms implementations, to count and classify the type of step, to run in mobile devices. Thus, improving pedestrian inertial navigation systems accuracy. © Springer International Publishing Switzerland 2015.

关键词： Inertial navigation systems

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A Zone-Based Approach for Physics-Based FET Compact Models

A Zone-Based Approach for Physics-Based FET Compact Models

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International Conference on Microwave, Radar and Wireless Communications

作者： R. J. Trew GECAD - Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (IPP) Porto Portugal School of Computing SASTRA University Thanjavur India

ISBN: (纸本)9781509022151

Equivalent circuit field-effect transistor models (compact models) are extensively used in integrated circuit design and manufacture. The most commonly used models are not derived from basic physical fundamentals, but are rather determined by parameter extraction techniques from experiment. This requires that the device be fabricated and characterized before the model can be determined. An alternate approach is to derive the model from fundamental physics, which permits the model to be used in device design as well as circuit applications. In this work a zone-based approach to physics-based compact model development is described. The approach starts from fundamental physical principles and produces a model that accurately describes the dc and RF performance of the device. The zone-based approach divides the device into zones based upon operational physical phenomena. The various zones are described with a simplified set of equations, and the zones are then linked to form the complete model. The physics-based approach produces a compact model that can easily be formulated to include all pertinent physical phenomena known to affect device performance. The zone-based approach yields a flexible device model that is both quantitatively accurate and easy to employ in system level simulators.

关键词： Compact FET models GaAs MESFET models Nitride-based HFET compact models Physics-based large-signal HFET models

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Remuneration of Distributed Generation and Demand Response Resources Considering Scheduling and Aggregation

Remuneration of Distributed Generation and Demand Response R...

引用

IEEE Power and Energy Society General Meeting

作者： Joao Spinola Pedro Faria Zita Vale GECAD - Knowledge Engineering and Decision-Support Research Center ISEP/IPP -Polytechnic of Porto

ISBN: (纸本)9781467380416

The distribution generation and demand response remuneration practices, used by most aggregation entities, considers simple characteristics as the type of resource. This evaluation may cause a non optimized tariff definition in most cases. For this paper, a Virtual Power Player as aggregator is considered, which is able to make clusters of both producers and consumers. The proposed methodology defines a set of steps that allows the aggregator to choose between different remuneration scenarios. These steps include the scheduling and aggregation of resources, considering distinct input data and the use of an hierarchical clustering algorithm. The remuneration considers the use of, type of resource, maximum price, minimum and average price, and also statistical tools, more specifically, standard deviation in each defined cluster. The case study consists of 548 distributed generators, 10 suppliers and 20310 consumers, a real Portuguese network.

关键词： Clustering Demand Response Programs Distributed Generation Tariffs definition distributed power generation Remuneration Demand-Responsive Cluster Analysis agglomeration average price

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Distinct Approaches to Model Electricity Consumers for the Participation in Demand Response Programs

Distinct Approaches to Model Electricity Consumers for the P...

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IEEE Power and Energy Society General Meeting

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

ISBN: (纸本)9781467380416

Demand response can to be used in order to reduce energy consumption or, in an economic standpoint, to avoid the need of more expensive energy resources. The present paper proposes a methodology that makes possible to compare the modeling of distinct demand response programs by having different consumer remuneration approaches. The methodology, which is developed in the scope of a Virtual Power Players operation of a network, concerning its consumption reduction needs and the schedule of demand resources according to its price. The consumers are modeled as several approaches, namely, Constant, Elasticity, Linear, Quadratic and Steps. Several consumption reduction levels and economic evaluation scenarios have been implemented in a case study composed by 218 consumers and 4 suppliers from the main upstream network.

关键词： Consumers modelling Demand response programs Remuneration tariffs Virtual power player Demand-Responsive Consumers Energy sources virtual power

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