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Application of Fuzzy Fractional PD+I Controllers Tuned by a Genetic Algorithm

Application of Fuzzy Fractional PD+I Controllers Tuned by a ...

引用

Annual Conference of the IEEE Industrial Electronics Society

作者： Isabel S. Jesus Ramiro S. Barbosa GECAD - Knowledge Engineering and Decision Support Research Center Institute of Engineering/Polytechnic of Porto (ISEP/IPP) Dept. of Electrical Engineering

ISBN: (纸本)9781479902255

The fractional order concepts are a useful tool to describe several physical phenomena, and nowadays widely used in the field of automatic control. In this paper we consider the development of an optimal fuzzy fractional PD+I controller in which the parameters are tuned by a Genetic Algorithm (GA). The performance of the proposed fuzzy fractional control is illustrated through two application examples.

关键词： Approximation methods Zirconium PD control Genetic algorithms Fuzzy logic Optimization

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Comparative Study of Fuzzy Integer and Fractional PID Controller

Comparative Study of Fuzzy Integer and Fractional PID Contro...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Ramiro S. Barbosa Isabel S. Jesus GECAD - Knowledge Engineering and Decision Support Research Center Dept. of Electrical Engineering ISEP/IPP - School of Engineering Polytechnic Institute of Porto

ISBN: (纸本)9781479902255

This paper makes a comparative study between fuzzy integer and fractional PID controllers. A novel fuzzy fractional PID is proposed. A methodology for tuning the fuzzy controllers is also presented. The effectiveness and robustness of the proposed approach is illustrated through its application on the control of a fractional-order plant.

关键词： PD control Iron Robustness Tuning Equations Fuzzy logic

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Multi-objective parallel particle swarm optimization for day-ahead Vehicle-to-Grid scheduling

Multi-objective parallel particle swarm optimization for day...

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IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG)

作者： João Soares Zita Vale Bruno Canizes Hugo Morais GECAD-Knowledge Engineering and Decision-Support Research Center (ISEP IPP) Polytechnic of Porto Porto Portugal Danmarks Tekniske Universitet Lyngby DK

This paper presents a methodology for multi-objective day-ahead energy resource scheduling for smart grids considering intensive use of distributed generation and Vehicle-To-Grid (V2G). The main focus is the application of weighted Pareto to a multi-objective parallel particle swarm approach aiming to solve the dual-objective V2G scheduling: minimizing total operation costs and maximizing V2G income. A realistic mathematical formulation, considering the network constraints and V2G charging and discharging efficiencies is presented and parallel computing is applied to the Pareto weights. AC power flow calculation is included in the metaheuristics approach to allow taking into account the network constraints. A case study with a 33-bus distribution network and 1800 V2G resources is used to illustrate the performance of the proposed method.

关键词： Vehicles Discharges (electric) Partial discharges Batteries Load flow Distributed power generation Mathematical model

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Real-time simulation of energy management in a domestic consumer

Real-time simulation of energy management in a domestic cons...

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

作者： F. Fernandes M. Silva P. Faria Z. Vale C. Ramos H. Morais GECAD Knowledge Engineering and Decision Support Research Center Porto Portugal Automation and Control Group Technical University of Denmark (DTU) Lyngby Denmark

Recent and future changes in power systems, mainly in the smart grid operation context, are related to a high complexity of power networks operation. This leads to more complex communications and to higher network elements monitoring and control levels, both from network's and consumers' standpoint. The present work focuses on a real scenario of the LASIE laboratory, located at the Polytechnic of Porto. Laboratory systems are managed by the SCADA House Intelligent Management (SHIM), already developed by the authors based on a SCADA system. The SHIM capacities have been recently improved by including real-time simulation from Opal RT. This makes possible the integration of Matlab ® /Simulink ® real-time simulation models. The main goal of the present paper is to compare the advantages of the resulting improved system, while managing the energy consumption of a domestic consumer.

关键词： Real-time systems Load modeling Energy management MATLAB Computational modeling Smart grids

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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...

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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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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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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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