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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...

引用

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

Remuneration of Distributed Generation and Demand Response R...

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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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Probabilistic Estimation of the State of Electric Vehicles for Smart Grid Applications in Big Data Context

Probabilistic Estimation of the State of Electric Vehicles f...

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IEEE Power and Energy Society General Meeting

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

ISBN: (纸本)9781467380416

This paper presents a framework and methodology to estimate the possible states of Electric Vehicles (EVs) regarding their location and periods of connection in the grid. A Monte Carlo Simulation (MCS) is implemented to estimate the probability of occurrence of these states. The framework assumes the availability of Information and Communication Technology (ICT) technology and previous data records to obtain the probabilistic states. A case study is presented using a fleet of 15 EVs considering a smart grid environment. A high accuracy was obtained with 1 million iterations in MCS.

关键词： Big Data Electric Vehicles Monte Carlo Simulation Smart Grid

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VPP Energy Resources Management considering Emissions: The case of northern Portugal 2020 to 2050

VPP Energy Resources Management considering Emissions: The c...

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IEEE Symposium Series on Computational Intelligence

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

ISBN: (纸本)9781479975617

In SGs context, Distributed Generation (DG) based on renewable sources represents an alternative paradigm of energy supply and the opportunity for significant reduction in CO_2 emissions. However, strict emissions regulations might impact profit seeking Virtual Power Plants (VPP) operation. This paper addresses energy management at distribution level and evaluates if electricity emissions are worth to be considered in different time horizons. A realistic case study is developed for a chosen area of the northern region of Portugal, namely one part of the distribution grid from Vila Real managed by a VPP, with estimated penetration of Electric Vehicles (EV), several Distributed Generation (DG), Demand Response (DR) and Energy Storage Systems (ESS). The considered characteristics of the case study took into account several studies and the forecasts made in the literature. For 2030 it is expected an average CO_2 grid emission of 50 kgCO_2/MWh in Portugal. The repository-based multi-objective Particle Swarm Optimization (MOPSO) is used to tackle the developed optimization problem. Three scenarios are evaluated for the profit seeking VPP in 2020, 2030 and 2050 perspectives.

关键词： Energy Resources Management Multi-objective Particle Swarm Optimization Virtual Power Plant Smart Grid

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Simulation and control of consumption and generation of hardware resources in microgrid real-time digital simulator

Simulation and control of consumption and generation of hard...

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IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America)

作者： Omid Abrishambaf Luis Gomes Pedro Faria Zita Vale Polytechnic of Porto (IPP) GECAD - Knowledge Engineering and Decision Support Research Centre Porto Portugal

The appearance of new concepts in power systems, such as, smart grids and microgrids brings several advantages. This includes the use of distributed generation and the execution of demand response programs. However, their implementation can also bring management and stability problems. The system presented in this paper allows the real-time simulation of microgrids using real generation and consumption resources. The proposed system can follow real profiles and reply them into the simulation by using real loads and wind generation. The focus is given to the control of the resources in each desired consumption and generation requirement. The case studies use a real consumption profile of a residential house, small commerce facility and a real profile of a home-scale wind turbine. The use of real loads gives a more reliable simulation.

关键词： Load modeling Real-time systems Wind turbines Smart grids Hardware Microgrids Relays

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Resource scheduling in residential microgrids considering energy selling to external players

Resource scheduling in residential microgrids considering en...

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Clemson University Power Systems Conference (PSC)

作者： Bruno Canizes Marco Silva Pedro Faria Sergio Ramos Zita Vale GECAD – Knowledge Engineering and Decision Support Research Center Polytechnic of Porto (IPP) Porto Portugal

The operation of distribution networks has been facing changes with the implementation of smart grids and microgrids, and the increasing use of distributed generation. The specific case of distribution networks that accommodate residential buildings, small commerce, and distributed generation as the case of storage and PV generation lead to the concept of microgrids, in the cases that the network is able to operate in islanding mode. The microgrid operator in this context is able to manage the consumption and generation resources, also including demand response programs, obtaining profits from selling electricity to the main network. The present paper proposes a methodology for the energy resource scheduling considering power flow issues and the energy buying and selling from/to the main network in each bus of the microgrid. The case study uses a real distribution network with 25 bus, residential and commercial consumers, PV generation, and storage.

关键词： Microgrids Buildings Energy resources Load management Mathematical model Discharges (electric) Load flow

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Contextual and environmental awareness laboratory for energy consumption management

Contextual and environmental awareness laboratory for energy...

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Clemson University Power Systems Conference (PSC)

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

The recent changes on power systems paradigm requires the active participation of small and medium players in energy management. With an electricity price fluctuation these players must manage the consumption. Lowering costs and ensuring adequate user comfort levels. Demand response can improve the power system management and bring benefits for the small and medium players. The work presented in this paper, which is developed aiming the smart grid context, can also be used in the current power system paradigm. The proposed system is the combination of several fields of research, namely multi-agent systems and artificial neural networks. This system is physically implemented in our laboratories and it is used daily by researchers. The physical implementation gives the system an improvement in the proof of concept, distancing itself from the conventional systems. This paper presents a case study illustrating the simulation of real-time pricing in a laboratory.

关键词： Buildings Optimization Smart grids Artificial neural networks Hardware Sockets Switches

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Pan-European Electricity Market Simulation Considering the European Power Network Capacities

Pan-European Electricity Market Simulation Considering the E...

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International Workshop on Database and Expert Systems Applications

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

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. However, physical constraints, such as the grid limited capacity, are major setbacks, which make the full European market unification a more distant goal. This paper presents a study that aims at analyzing the capability of the existing European transmission network in accommodating a full unification of the European electricity markets. This study considers the real European transmission network capacities, supporting a unified Pan-European electricity market scenario, which is simulated using the Multi-Agent System for Competitive Electricity Markets.

关键词： Europe Electricity supply industry Adaptation models Wind power generation Power grids Investment Data models

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Learning platform: Emotional learning

Learning platform: Emotional learning

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Iberian Conference on Information Systems and Technologies (CISTI)

作者： Ana Raquel Faria Ana Almeida Constantino Martins Ramiro Gonçalves Computer Science Department GECAD-Knowledge Engineering and Decision Support Group Institute of Engineering - Polytechnic of Porto Porto Portugal

The purpose of this paper is to propose new model for emotional interaction that uses learning styles and student emotional state to adapt the user interface and learning path. This aims to reduce the difficulty and emotional stain that students encounter while interacting with learning platforms. To this end will be used techniques of Affective Computer that can capture the student emotional state and base on that change the course parameters (flow, organization or difficulty) or even an emotional interaction in order to recapture the student attention.

关键词： Prototypes Adaptation models Education Data models Computational modeling Gaussian distribution Computers

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Demand Response in Electric Vehicles Management Optimal Use of End-User Contracts

Demand Response in Electric Vehicles Management Optimal Use ...

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Mexican International Conference on Artificial Intelligence, MICAI

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

Demand Response (DR) has gained attention in the past few years. With the mass introduction of Electric Vehicles (EVs) the opportunity for DR programs can grow even more. This paper concentrates on a specific type of DR, namely evaluating different scenarios with respect to end-user EVs tariffs. The effects of different tariffs are compared in several scenarios in terms of the Virtual Power Plant (VPP) operation costs and also the EVs' perspective, i.e. considering the optimal use of end-user contracts. To solve the Mixed Integer Non-Linear Problem (MINLP) a modernized optimization approach is used by combining a deterministic method in the first stage, relaxing the problem to a Mixed Integer Linear Problem (MILP) with the use of a computational intelligence method in the second stage, namely Particle Swarm Optimization (PSO). The case study presents different price scenarios, namely, singletariff, bi-tariff, tri-tariff, tetra-tariff, and Real-Time Pricing (RTP). The network used for this application is a 33-bus distribution network with high penetration of renewables and a fleet of 30 electric buses.

关键词： Energy resources Contracts Power generation Vehicles Load management Optimization Pricing

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