A Data Mining Framework for Electric Load Profiling

This paper consists in the characterization of medium voltage (MV) electric power consumers based on a data clustering approach. It is intended to identify typical load profiles by selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The best partition is selected using several cluster validity indices. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers’ behavior. The data-mining-based methodology presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partitions. To validate our approach, a case study with a real database of 1.022 MV consumers was used.

Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market

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.

Contextual Intelligent Load Management Considering Real-Time Pricing in a Smart Grid Environment

The use of demand response programs enables the adequate use of resources of small and medium players, bringing high benefits to the smart grid, and increasing its efficiency. One of the difficulties to proceed with this paradigm is the lack of intelligence in the management of small and medium size players. In order to make demand response programs a feasible solution, it is essential that small and medium players have an efficient energy management and a fair optimization mechanism to decrease the consumption without heavy loss of comfort, making it acceptable for the users. This paper addresses the application of real-time pricing in a house that uses an intelligent optimization module involving artificial neural networks.

Short-term Load Forecasting Based on Load Profiling

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.

Determining the Adjustment Baseline Parameters to Define an Accurate Customer Baseline Load

Demand response is an energy resource that has gained increasing importance in the context of competitive electricity markets and of smart grids. New business models and methods designed to integrate demand response in electricity markets and of smart grids have been published, reporting the need of additional work in this field. In order to adequately remunerate the participation of the consumers in demand response programs, improved consumers’ performance evaluation methods are needed. The methodology proposed in the present paper determines the characterization of the baseline approach that better fits the consumer historic consumption, in order to determine the expected consumption in absent of participation in a demand response event and then determine the actual consumption reduction. The defined baseline can then be used to better determine the remuneration of the consumer. The paper includes a case study with real data to illustrate the application of the proposed methodology.

Load Control Timescales Simulation in a Multi-Agent Smart Grid Platform

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.

Load Profiling Tool to Support Smart Grid Operation Scenarios

This paper presents the characterization of high voltage (HV) electric power consumers based on a data clustering approach. The typical load profiles (TLP) are obtained selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The choice of the best partition is supported using several cluster validity indices. The proposed data-mining (DM) based methodology, that includes all steps presented in the process of knowledge discovery in databases (KDD), presents an automatic data treatment application in order to preprocess the initial database in an automatic way, allowing time saving and better accuracy during this phase. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers’ consumption behavior. To validate our approach, a case study with a real database of 185 HV consumers was used.

Study of Load Curves Concerning the Influence of Socioeconomic and Cultural Issues

The increase of electricity demand in Brazil, the lack of the next major hydroelectric reservoirs implementation, and the growth of environmental concerns lead utilities to seek an improved system planning to meet these energy needs. The great diversity of economic, social, climatic, and cultural conditions in the country have been causing a more difficult planning of the power system. The work presented in this paper concerns the development of an algorithm that aims studying the influence of the issues mentioned in load curves. Focus is given to residential consumers. The consumption device with highest influence in the load curve is also identified. The methodology developed gains increasing importance in the system planning and operation, namely in the smart grids context.

Voltage Analysis and Load Curtailment Minimization in Sub-transmission Networks with Distributed Generation

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.

The influence of gait cadence on the ground reaction forces and plantar pressures during load carriage of young adults

Biomechanical gait parameters—ground reaction forces (GRFs) and plantar pressures—during load carriage of young adults were compared at a low gait cadence and a high gait cadence. Differences between load carriage and normal walking during both gait cadences were also assessed. A force plate and an in-shoe plantar pressure system were used to assess 60 adults while they were walking either normally (unloaded condition) or wearing a backpack (loaded condition) at low (70 steps per minute) and high gait cadences (120 steps per minute). GRF and plantar pressure peaks were scaled to body weight (or body weight plus backpack weight). With medium to high effect sizes we found greater anterior-posterior and vertical GRFs and greater plantar pressure peaks in the rearfoot, forefoot and hallux when the participants walked carrying a backpack at high gait cadences compared to walking at low gait cadences. Differences between loaded and unloaded conditions in both gait cadences were also observed.

Efeito da compressão isquémica no ponto gatilho latente do trapézio superior, na magnitude de atividade muscular do complexo articular do ombro

Introdução: A síndrome dolorosa miofascial é um dos principais problemas encontrados na prática clínica, tendo como principais características os pontos gatilho (PG), ativos ou latentes. Os PG latentes têm uma elevada prevalência na musculatura da cintura escapular, nomeadamente ao nível do trapézio superior (TS), influenciando o controlo motor do ombro. A compressão isquémica aplicada no PG do TS poderá influenciar o comportamento muscular dos sinergistas durante o movimento de abdução no plano da omoplata. Objetivos: Este estudo visa estudar a influência da compressão isquémica aplicada no PG do TS na magnitude de ativação dos músculos TS, trapézio inferior (TI), grande dentado (GD), infra-espinhoso (IE) e deltóide médio (DM), assim como a relação muscular através da razão entre o TS e os restantes músculos em análise, durante o movimento de abdução no plano da omoplata. Métodos: O presente estudo é experimental, aleatório e controlado. Foram criados dois grupos, grupo controlo (GC) (n=14) e grupo experimental (GE) (n=15), a partir de uma amostra de 67 indivíduos. No GC foi aplicado um procedimento placebo e no GE foi aplicada no PG latente do TS a técnica de compressão isquémica. Antes e após a intervenção foi recolhida a atividade eletromiográfica dos músculos em análise, assim como os dados cinemáticos, durante o movimento de elevação do ombro no plano da omoplata. Para a análise registou-se a amplitude máxima de abdução e foi analisada a atividade muscular individual dos músculos em estudo assim como a razão entre o TS e os restantes músculos. Esta análise foi realizada em intervalos de 30° até ao final do movimento. Resultados: Não se verificaram diferenças na amplitude máxima de abdução, nem entre grupos (1º momento p=0,608, t=0,816; 2º momento p=0,119; t=1,252) nem entre os dois momentos em cada grupo (GC, t=-1,119; p=0,256; GE, t=-1,604, p=0,135). Na magnitude de ativação individual de cada músculo também não se verificaram diferenças significativas com a aplicação da técnica, tendo-se verificado no DM uma tendência para o aumento da ativação aquando da intervenção, ao longo de todo o arco de movimento, em comparação com a pré-intervenção, já no GC de controlo não se verificaram alterações entre momentos. Também na análise da razão entre músculos não se verificaram diferenças entre grupos. Conclusão: A intervenção realizada não influenciou nenhum dos parâmetros em análise do complexo articular do ombro nem a amplitude de movimento de abdução.

Influência da atividade muscular abdominal na velocidade do oi tsuki

Introdução: No karaté a região lombo pélvica é importante, pois permite dar estabilidade e potenciar a força produzida na aplicação de técnicas de karaté. Apesar disso, nenhum estudo estuda a influência da atividade muscular abdominal na velocidade de aplicação de técnicas. Existem diversos estudos sobre o karaté mas nenhum deles foca a importância da atividade muscular abdominal. Objetivo: O objetivo deste estudo é verificar se o timing e a magnitude de ativação dos músculos abdominais influenciam a velocidade aplicada na técnica de karaté oi tsuki. Metodologia: Estudo transversal analítico com 7 praticantes de karaté do sexo masculino com graduação de 3º kyu (1º nível de cinturão castanho) ou superior. Foi avaliado o timing e a magnitude de ativação muscular abdominal com eletromiografia de superfície e a velocidade de movimento com sistema Qualisys, durante a execução do oi tsuki. Para dados estatísticos realizou-se o teste de spearman (nível de significância de 0,05) para testar correlação entre timing e a velocidade e entre magnitude de ativação e a velocidade, recorrendo ao coeficiente de determinação para verificar o grau de correlação. Para verificar diferenças bilaterais entre os timings e a magnitude de ativação dos músculos abdominais realizou-se o teste de Wilcoxon (nível de significância de 0,05). Resultados: Foi observada uma relação estatisticamente significativa (p< 0,05) entre o timing de ativação dos músculos transversos/oblíquos internos abdominais e do oblíquo externo contra lateral com a velocidade média do oi tsuki. Os timings de ativação dos músculos retos abdominais e oblíquo externo ipsilateral não revelaram valores de significância (p> 0,05) que possibilitem afirmar que existe relação entre esses timings e a velocidade média do oi tsuki. Não existem valores estatisticamente significativos (p> 0,05) para afirmar que existe relação entre a magnitude de ativação dos músculos abdominais e a velocidade média do oi tsuki. A velocidade máxima do movimento não foi afetada nem pelos timings de ativação dos músculos do abdómen, nem pelas suas magnitudes de ativação. Apenas o timing entre os músculos Transversos/oblíquos internos contra lateral e ipsilateral revelou diferenças. Conclusão: O tronco evidencia ser importante para a prática do karaté, não só pela melhoria da performance, mas também pela melhoria de estabilidade e consequente técnica. Apresenta uma aparente melhoria na velocidade inicial da técnica, podendo afetar positivamente a performance. Para além da performance, contribui para a segurança das estruturas lombo pélvicas, promovendo um menor risco de lesão.