Three-phase harmonic distortion state estimation algorithm based on evolutionary strategies

This paper presents a new methodology to estimate unbalanced harmonic distortions in a power system, based on measurements of a limited number of given sites. The algorithm utilizes evolutionary strategies (ES), a development branch of evolutionary algorithms. The problem solving algorithm herein proposed makes use of data from various power quality meters, which can either be synchronized by high technology GPS devices or by using information from a fundamental frequency load flow, what makes the overall power quality monitoring system much less costly. The ES based harmonic estimation model is applied to a 14 bus network to compare its performance to a conventional Monte Carlo approach. It is also applied to a 50 bus subtransmission network in order to compare the three-phase and single-phase approaches as well as the robustness of the proposed method. (C) 2010 Elsevier B.V. All rights reserved.

Harmonic Distortion State Estimation Using an Evolutionary Strategy

This paper presents a new methodology to estimate harmonic distortions in a power system, based on measurements of a limited number of given sites. The algorithm utilizes evolutionary strategies (ES), a development branch of evolutionary algorithms. The main advantage in using such a technique relies upon its modeling facilities as well as its potential to solve fairly complex problems. The problem-solving algorithm herein proposed makes use of data from various power-quality (PQ) meters, which can either be synchronized by high technology global positioning system devices or by using information from a fundamental frequency load flow. This second approach makes the overall PQ monitoring system much less costly. The algorithm is applied to an IEEE test network, for which sensitivity analysis is performed to determine how the parameters of the ES can be selected so that the algorithm performs in an effective way. Case studies show fairly promising results and the robustness of the proposed method.

A framework for electricity price spike analysis with advanced data mining methods

There are many techniques for electricity market price forecasting. However, most of them are designed for expected price analysis rather than price spike forecasting. An effective method of predicting the occurrence of spikes has not yet been observed in the literature so far. In this paper, a data mining based approach is presented to give a reliable forecast of the occurrence of price spikes. Combined with the spike value prediction techniques developed by the same authors, the proposed approach aims at providing a comprehensive tool for price spike forecasting. In this paper, feature selection techniques are firstly described to identify the attributes relevant to the occurrence of spikes. A simple introduction to the classification techniques is given for completeness. Two algorithms: support vector machine and probability classifier are chosen to be the spike occurrence predictors and are discussed in details. Realistic market data are used to test the proposed model with promising results.

A hybrid planning method for transmission networks in a deregulated environment

The reconstruction of power industries has brought fundamental changes to both power system operation and planning. This paper presents a new planning method using multi-objective optimization (MOOP) technique, as well as human knowledge, to expand the transmission network in open access schemes. The method starts with a candidate pool of feasible expansion plans. Consequent selection of the best candidates is carried out through a MOOP approach, of which multiple objectives are tackled simultaneously, aiming at integrating the market operation and planning as one unified process in context of deregulated system. Human knowledge has been applied in both stages to ensure the selection with practical engineering and management concerns. The expansion plan from MOOP is assessed by reliability criteria before it is finalized. The proposed method has been tested with the IEEE 14-bus system and relevant analyses and discussions have been presented.

Analysis of small signal stability margins using genetic optimization

Power system small signal stability analysis aims to explore different small signal stability conditions and controls, namely: (1) exploring the power system security domains and boundaries in the space of power system parameters of interest, including load flow feasibility, saddle node and Hopf bifurcation ones; (2) finding the maximum and minimum damping conditions; and (3) determining control actions to provide and increase small signal stability. These problems are presented in this paper as different modifications of a general optimization to a minimum/maximum, depending on the initial guesses of variables and numerical methods used. In the considered problems, all the extreme points are of interest. Additionally, there are difficulties with finding the derivatives of the objective functions with respect to parameters. Numerical computations of derivatives in traditional optimization procedures are time consuming. In this paper, we propose a new black-box genetic optimization technique for comprehensive small signal stability analysis, which can effectively cope with highly nonlinear objective functions with multiple minima and maxima, and derivatives that can not be expressed analytically. The optimization result can then be used to provide such important information such as system optimal control decision making, assessment of the maximum network's transmission capacity, etc. (C) 1998 Elsevier Science S.A. All rights reserved.

Adhesion after erbium, chromium:yttrium-scandium-gallium-garnet laser application at three different irradiation conditions

The aim of this study was to investigate whether distinct cooling of low fluence erbium, chromium:yttrium-scandium-gallium-garnet (Er,Cr:YSGG) laser irradiation would influence adhesion. Main factors tested were: substrates (two), irradiation conditions (three), and adhesives (three). A 750 mu m diameter tip was used, for 50 s, 1 mm from the surface, with a 0.25 W power output, 20 Hz, energy density of 2.8 J/cm(2) with energy per pulse of 12.5 mJ. When applied, water delivery rate was 11 ml/min. The analysis of variance (ANOVA) showed that laser conditioning significantly decreased the bond strength of all adhesive systems applied on enamel. On dentin, laser conditioning significantly reduced bond strength of etch-and-rinse and one-step self-etch systems; however, laser irradiation under water cooling did not alter bonding of two-step self-etching. It may be concluded that the irradiation with Er,Cr:YSGG laser at 2.8 J/cm(2) with water coolant was responsible for a better adhesion to dentin, while enamel irradiation reduced bond strength, irrespective of cooling conditions.

On the discovery of business processes orchestration patterns

COORDINSPECTOR is a Software Tool aiming at extracting the coordination layer of a software system. Such a reverse engineering process provides a clear view of the actually invoked services as well as the logic behind such invocations. The analysis process is based on program slicing techniques and the generation of, System Dependence Graphs and Coordination Dependence Graphs. The tool analyzes Common Intermediate Language (CIL), the native language of the Microsoft .Net Framework, thus making suitable for processing systems developed in any .Net Framework compilable language. COORDINSPECTOR generates graphical representations of the coordination layer together with business process orchestrations specified in WSBPEL 2.0

Concepção de uma pequena turbina eólica destinada ao segmento doméstico (simplificação e análise aerodinâmica das pás)

O trabalho que se apresenta incide sobre o estudo aerodinâmico das pás de uma turbina eólica de pequeno porte, com vista à simplificação geométrica, de forma a que estas sejam baratas e de fácil concepção. A teoria da quantidade de movimento do elemento de pá (BEMT), que é o modelo de referência para o projecto e análise aerodinâmica das pás das turbinas eólicas, foi utilizada neste trabalho de forma a projectar e analisar aerodinamicamente as pás da turbina. Sendo assim, desenvolveu-se um programa computacional em MATLAB, denominado de “Turbina”, de forma a implementar a teoria BEM. Introduzindo os dados dos parâmetros de projecto no programa (potência requerida, o número de pás, velocidade do vento, a TSR e o tipo de perfil alar), obtêm-se os parâmetros geométricos das pás (distribuição da corda ao longo da envergadura, o raio da pá e a distribuição da torção da pá), os parâmetros aerodinâmicos e de desempenho. Uma pá ideal foi calculada e de seguida foi modificada de forma a obter-se uma pá simples e menos carregada aerodinamicamente. Introduzidas as modificações na geometria da pá ideal, obtiveram-se duas configurações distintas. Uma configuração linear, onde a distribuição da corda e do ângulo de torção se tornam lineares, e outra configuração bi-linear, onde a distribuição da corda continua linear mas o ângulo de torção se torna bi-linear, isto é, a pá é composta por dois troços onde cada troço apresenta uma distribuição linear do ângulo de torção geométrica. As conclusões demonstram que a configuração bi-linear é uma boa alternativa a configuração ideal, apresentando uma redução do desempenho do rotor de 2.8% para um aumento do raio da pá em 1.41%, para se obter a mesma potência da configuração ideal. A análise aos perfis alares, utilizados neste trabalho, foi efectuada a partir dos programas comerciais ICEM e FLUENT. De forma a automatizar a análise de CFD, três programas foram desenvolvidos utilizando a linguagem de programação “C”. Os programas são denominados de “Malha2D”, “Calcula_Coeficientes” e “Plot_Graficos”. Finalmente, um estudo paramétrico foi feito de forma a avaliar a influências das variáveis de projecto no desempenho geral da turbina.

Estimativa do recurso associado a um parque eólico e solução ótima de integração do parque numa rede elétrica do sudeste brasileiro

Um dos objetivos da presente dissertação consiste em estimar o recurso eólico num determinado local com base em dados de velocidade e direção de vento de outro local. Para esta estimativa, é utilizado um método que faz a extrapolação dos dados de vento do local onde as medições de velocidade e direção de vento foram realizadas para o local onde se quer estimar o recurso eólico, permitindo assim fazer uma avaliação da potência disponível que se pode obter para uma dada configuração de turbinas eólicas e tendo em consideração fatores topográficos tais como a rugosidade, orografia da superfície e também obstáculos em redor. Este método foi aplicado usando a ferramenta computacional, Wind Atlas Analysis and Aplication Program (WAsP), de modo a avaliar a potência média de um parque eólico na região de Osório, Brasil. O outro objetivo desta dissertação consiste no estudo e definição da melhor ligação do referido parque eólico à rede elétrica local. Para o efeito e após modelização da rede elétrica foram identificados os reforços de rede necessários na zona que irá receber a nova potência do parque eólico. No estudo em causa foram avaliadas quatro alternativas de ligação do parque eólico à rede. A escolha da melhor alternativa de ligação foi efetuada tendo por base uma análise de relação entre benefício de perdas da rede e custos de reforço da rede local.

Investment optimization in distribution network based on fuzzy outage parameters

This paper presents a methodology that aims to increase the probability of delivering power to any load point of the electrical distribution system by identifying new investments in distribution components. The methodology is based on statistical failure and repair data of the distribution power system components and it uses fuzzy-probabilistic modelling for system component outage parameters. Fuzzy membership functions of system component outage parameters are obtained by statistical records. A mixed integer non-linear optimization technique is developed to identify adequate investments in distribution networks components that allow increasing the availability level for any customer in the distribution system at minimum cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a real distribution network.

A simulation tool for demand response programs implementation

The design and development of simulation models and tools for Demand Response (DR) programs are becoming more and more important for adequately taking the maximum advantages of DR programs use. Moreover, a more active consumers’ participation in DR programs can help improving the system reliability and decrease or defer the required investments. DemSi, a DR simulator, designed and implemented by the authors of this paper, allows studying DR actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. DemSi considers the players involved in DR actions, and the results can be analyzed from each specific player point of view.

Intelligent electric vehicle heuristic for energy resource management using simulated annealing

The smart grid concept appears as a suitable solution to guarantee the power system operation in the new electricity paradigm with electricity markets and integration of large amounts of Distributed Energy Resources (DERs). Virtual Power Player (VPP) will have a significant importance in the management of a smart grid. In the context of this new paradigm, Electric Vehicles (EVs) rise as a good available resource to be used as a DER by a VPP. This paper presents the application of the Simulated Annealing (SA) technique to solve the Energy Resource Management (ERM) of a VPP. It is also presented a new heuristic approach to intelligently handle the charge and discharge of the EVs. This heuristic process is incorporated in the SA technique, in order to improve the results of the ERM. The case study shows the results of the ERM for a 33-bus distribution network with three different EVs penetration levels, i. e., with 1000, 2000 and 3000 EVs. The results of the proposed adaptation of the SA technique are compared with a previous SA version and a deterministic technique.

Maximum penetration of microgeneration photovoltaic panels in distribution network

In smart grids context, the distributed generation units based in renewable resources, play an important rule. The photovoltaic solar units are a technology in evolution and their prices decrease significantly in recent years due to the high penetration of this technology in the low voltage and medium voltage networks supported by governmental policies and incentives. This paper proposes a methodology to determine the maximum penetration of photovoltaic units in a distribution network. The paper presents a case study, with four different scenarios, that considers a 32-bus medium voltage distribution network and the inclusion storage units.

Comportamento à fadiga de juntas soldadas de aços tipo 460M com fios fluxados

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Banco de ensaios para micro geração eólica

Mestrado em Engenharia Electrotécnica e de Computadores