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Clemson University Power Systems Conference (PSC)

作者： Bruno Canizes Zita Vale Adriana Cruz J.A.B. Grimoni GECAD - Knowledge Engineering and Decision-Support Research Centre Polytechnic of Porto (ISEP/IPP) Porto Portugal USP - University of São Paulo Av. Prof. Luciano Gualberto São Paulo Brazil

Most of distributed generation and smart grid research works are dedicated to network operation parameters studies, reliability, etc. However, many of these works normally uses traditional test systems, for instance, IEEE test systems. This paper proposes voltage magnitude and reliability studies in presence of fault conditions, considering realistic conditions found in countries like Brazil. The methodology considers a hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models and a remedial action algorithm which is based on optimal power flow. To illustrate the application of the proposed method, the paper includes a case study that considers a real 12-bus sub-transmission network.

关键词： Maintenance engineering Monte Carlo methods Reliability Generators Load flow Reactive power

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Multi-agents based modelling for distribution network operation with electric vehicle integration

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 463卷 349-358页

作者： Hu, Junjie Morais, Hugo Zong, Yi You, Shi Bindner, Henrik W. Wang, Lei Wu, Qidi Elektrovej Bld 325 Lyngby2800 Denmark GECAD - Knowledge Engineering and Decision Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal School of Electronics and Information TongJi University Shanghai China

ISBN: (纸本)9783662452851

Electric vehicles (EV) can become integral part of a smart grid because instead of just consuming power they are capable of providing valuable services to power systems. To integrate EVs smoothly into the power systems, a multi-agents system (MAS) with hierarchical organization structure is proposed in this paper. The proposed MAS system consists of three types of agents: distribution system operator agent (DSO agent), electric vehicle fleet operator agent (EV FO agent or alternatively called virtual power plant agent) and EV agent. A DSO agent belongs to the top level of the hierarchy and its role is to manage the distribution network safely by avoiding grid congestions and using congestion prices to coordinate the energy schedule of VPPs. VPP agents belong to the middle level and their roles are to manage the charge periods of the EVs. EV agents sit in the bottom level and they represent EV owners and operate the charging behaviour of EVs. To simulate this collaborative (all agents contribute to achieving an optimized global performance) but also competitive environment (each agent will try to increase its utilities or reduce its costs), a multi-agent platform was developed to demonstrate the coordination between the interacting agents. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Multi agent systems

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MicroGrid DER control including EVs in a Residential Area

MicroGrid DER control including EVs in a Residential Area

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IEEE Eindhoven PowerTech Conference

作者： Joao Soares Marco Silva Bruno Canizes Zita Vale Polytechnic of Porto (ISEP IIPP) GECAD - Knowledge Engineering and Decision-Support Research Centre Porto Portugal

This paper addresses the problem of MicroGrid (MG) management including Electric Vehicles (EV) scheduling in a low voltage residential grid. The methodology uses a deterministic algorithm approach implemented in TOMLAB software. A realistic case study using a 25-bus MG with distributed generation, dispersed storage and EVs is provided to demonstrate the use of this application. The method runs in less than 1 second while minimizing operation costs and improving the benefits of the MG. The potential benefits of storage units are demonstrated when high PV power production is available.

关键词： Electric Vehicles Intelligent Management MicroGrid Optimization

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Person localization using sensor information fusion 5

Person localization using sensor information fusion

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5th International Symposium on Ambient Intelligence, ISAmI 2014

作者： Anacleto, Ricardo Figueiredo, Lino Almeida, Ana Novais, Paulo GECAD - Knowledge Engineering and Decision Support Research Center School of Engineering - Polytechnic of Porto Porto Portugal CCTC/Informatics Department University of Minho Braga Portugal

ISBN: (纸本)9783319075952

Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is difficult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to suppress this limitation and to provide location everywhere (even where a structured environment doesn’t exist) a wearable inertial navigation system is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors. © Springer International Publishing Switzerland 2014.

关键词： Inertial navigation systems

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Understanding decision quality through satisfaction

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 430卷 368-377页

作者： Carneiro, João Santos, Ricardo Marreiros, Goreti Novais, Paulo GECAD - Knowledge Engineering and Decision Support Group Institute of Engineering - Polytechnic of Porto Porto Portugal CIICESI School of Technology and Management of Felgueiras Polytechnic of Porto Felgueiras Portugal CCTC - Computer Science and Technology Center University of Minho Braga Portugal

ISBN: (纸本)9783319077666

One of the most important factors to determine the success of an organization is the quality of decisions made. In order to improve the decisions taken and to strengthen the competitiveness of organizations, systems such as Group decision support Systems (GDSSs) have been strongly developed and studied in recent decades. The amount of GDSSs incorporating automatic negotiation mechanisms, such as argumentation, is increasing nowadays. The evaluation of these mechanisms and the understanding of their real benefits for the organizations is still a hard challenge. In this article, we propose a model that allows a GDSS to measure the participant's satisfaction with the decision, considering aspects such as problem evaluation, personality, emotions and expectations. This model is intended to enable the understanding of the decision's quality achieved with an argumentation system and to evaluate its capability to potentiate the decision's quality. The proposed model validates all the assumptions found in the literature regarding the participant's satisfaction. © Springer International Publishing Switzerland 2014.

关键词： decision support systems

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Multiagent System Architecture for Short-term Operation of Integrated Microgrids

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IFAC Proceedings Volumes 2014年第3期47卷 6355-6360页

作者： Mohammad Ali Fotouhi Ghazvini Reza Abedini Tiago Pinto Zita Vale GECAD – Knowledge Engineering and Decision-Support Research Center IPP - Polytechnic Institute of Porto Porto Portugal

The forthcoming smart grids are comprised of integrated microgrids operating in grid-connected and isolated mode with local generation, storage and demand response (DR) programs. The proposed model is based on three successive complementary steps for power transaction in the market environment. The first step is characterized as a microgrid's internal market; the second concerns negotiations between distinct interconnected microgrids; and finally, the third refers to the actual electricity market. The proposed approach is modeled and tested using a MAS framework directed to the study of the smart grids environment, including the simulation of electricity markets. This is achieved through the integration of the proposed approach with the MASGriP (Multi-Agent Smart Grid Platform) system.

关键词： Day-ahead market Electricity market Microgrids Multiagent systems Smart grids

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Quantum-based PSO applied to Hour-Ahead Scheduling in the Context of Smart Grid Management

Quantum-based PSO applied to Hour-Ahead Scheduling in the Co...

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IEEE Eindhoven PowerTech Conference

作者： Joao Soares Marco Silva Zita Vale P. B. de Moura Oliveira GECAD - Knowledge Engineering and Decision-Support Research Centre Porto Portugal INESC TEC - INESC Technology and Science UTAD University Vila Real Portugal

This paper presents a Quantum Particle Swarm Optimization (QPSO) applied to hour-ahead scheduling in Smart Grid (SG). The unforeseen events not considered in day-ahead scheduling, must be overcome when approaching intraday operation. This implies new constraints in hour-ahead formulation. The developed methodology aims to complement the day-ahead scheduling tools already available on the literature. The unforeseen events in the hour-ahead can include change of forecasted load demand, market prices and availability of renewable generation. The QPSO solves the problem in adequate execution time under the hour-ahead time scale. This is demonstrated using a scenario with high penetration of distributed generation and gridable vehicles. Furthermore, a comparison with GAMS is presented.

关键词： Electric Vehicles Energy Resource Management Hour-Ahead Scheduling Quantum PSO Smart Grid

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Real-time simulation of real-time pricing demand response to meet wind variations

Real-time simulation of real-time pricing demand response to...

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

作者： L. Gomes F. Fernandes P. Faria M. Silva Z. Vale C. Ramos GECAD - Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (IPP) Porto Portugal

Recent changes of paradigm in power systems opened the opportunity to the active participation of new players. The small and medium players gain new opportunities while participating in demand response programs. This paper explores the optimal resources scheduling in two distinct levels. First, the network operator facing large wind power variations makes use of real time pricing to induce consumers to meet wind power variations. Then, at the consumer level, each load is managed according to the consumer preferences. The two-level resources schedule has been implemented in a real-time simulation platform, which uses hardware for consumer' loads control. The illustrative example includes a situation of large lack of wind power and focuses on a consumer with 18 loads.

关键词： Optimization Electricity Wind power generation Load modeling Real-time systems Wind forecasting

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Dynamic approach and testbed for small and medium players simulation in smart grid environments 19

Dynamic approach and testbed for small and medium players si...

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19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014

作者： Gomes, Luis Amaral, Haroldo L.M. Fernandes, Filipe Faria, Pedro Vale, Zita Ramos, Carlos De Souza, André N. 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

ISBN: (纸本)9783902823625

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. © IFAC.

关键词： Smart power grids

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Remuneration structure definition for distributed generation units and demand response participants aggregation

Remuneration structure definition for distributed generation...

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IEEE General Meeting Power& Energy Society

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

The implementation of competitive electricity markets has changed the consumers' and distributed generation position power systems operation. The use of distributed generation and the participation in demand response programs, namely in smart grids, bring several advantages for consumers, aggregators, and system operators. The present paper proposes a remuneration structure for aggregated distributed generation and demand response resources. A virtual power player aggregates all the resources. The resources are aggregated in a certain number of clusters, each one corresponding to a distinct tariff group, according to the economic impact of the resulting remuneration tariff. The determined tariffs are intended to be used for several months. The aggregator can define the periodicity of the tariffs definition. The case study in this paper includes 218 consumers, and 66 distributed generation units.

关键词： Remuneration Schedules Optimization Load management Elasticity Distributed power generation Electricity

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