SCADA House Intelligent Management for Energy Efficiency Analysis in Domestic Consumers

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.

Intelligent energy resources management in the context of smart grids

Smart grids are envisaged as infrastructures able to accommodate all centralized and distributed energy resources (DER), including intensive use of renewable and distributed generation (DG), storage, demand response (DR), and also electric vehicles (EV), from which plug-in vehicles, i.e. gridable vehicles, are especially relevant. Moreover, smart grids must accommodate a large number of diverse types or players in the context of a competitive business environment. Smart grids should also provide the required means to efficiently manage all these resources what is especially important in order to make the better possible use of renewable based power generation, namely to minimize wind curtailment. An integrated approach, considering all the available energy resources, including demand response and storage, is crucial to attain these goals. This paper proposes a methodology for energy resource management that considers several Virtual Power Players (VPPs) managing a network with high penetration of distributed generation, demand response, storage units and network reconfiguration. The resources are controlled through a flexible SCADA (Supervisory Control And Data Acquisition) system that can be accessed by the evolved entities (VPPs) under contracted use conditions. A case study evidences the advantages of the proposed methodology to support a Virtual Power Player (VPP) managing the energy resources that it can access in an incident situation.

Context-aware emotion-based model for group decision making

Involving groups in important management processes such as decision making has several advantages. By discussing and combining ideas, counter ideas, critical opinions, identified constraints, and alternatives, a group of individuals can test potentially better solutions, sometimes in the form of new products, services, and plans. In the past few decades, operations research, AI, and computer science have had tremendous success creating software systems that can achieve optimal solutions, even for complex problems. The only drawback is that people don’t always agree with these solutions. Sometimes this dissatisfaction is due to an incorrect parameterization of the problem. Nevertheless, the reasons people don’t like a solution might not be quantifiable, because those reasons are often based on aspects such as emotion, mood, and personality. At the same time, monolithic individual decisionsupport systems centered on optimizing solutions are being replaced by collaborative systems and group decision-support systems (GDSSs) that focus more on establishing connections between people in organizations. These systems follow a kind of social paradigm. Combining both optimization- and socialcentered approaches is a topic of current research. However, even if such a hybrid approach can be developed, it will still miss an essential point: the emotional nature of group participants in decision-making tasks. We’ve developed a context-aware emotion based model to design intelligent agents for group decision-making processes. To evaluate this model, we’ve incorporated it in an agent-based simulator called ABS4GD (Agent-Based Simulation for Group Decision), which we developed. This multiagent simulator considers emotion- and argument based factors while supporting group decision-making processes. Experiments show that agents endowed with emotional awareness achieve agreements more quickly than those without such awareness. Hence, participant agents that integrate emotional factors in their judgments can be more successful because, in exchanging arguments with other agents, they consider the emotional nature of group decision making.

Abordagem da segurança, higiene e saúde na organização e gestão escolar

A escola é o centro de convergência que justifica e fundamenta os recursos alocados ao sistema educativo. Durante o normal funcionamento das escolas, as condições de segurança, salubridade dos edifícios e equipamentos devem ser previstas e mantidas para garantir a salvaguarda da saúde e bem-estar dos seus ocupantes. A responsabilidade sobre estas questões encontra-se transferida para os Órgãos de Gestão dos estabelecimentos educativos. Neste âmbito efectuou-se um estudo que objectivou caracterizar a organização e a gestão escolar, no contexto da segurança, higiene e saúde; conhecer a forma da organização e da gestão da emergência nos estabelecimentos de ensino e o grau de satisfação dos gestores escolares relativamente aspectos relacionados com a Segurança, Higiene e Saúde. Neste sentido, foi aplicado um inquérito por questionário on-line, dirigido aos directores dos agrupamentos de escolas e escolas únicas da Região Norte de Portugal. Na generalidade os resultados obtidos demonstraram que ao nível da organização e gestão da emergência é evidenciada alguma preocupação, constatando-se no entanto, que nem todas as escolas possuam delegado de segurança, algumas não possuem plano de segurança, apenas metade evidenciou a existência de projectos educativos em áreas relacionadas com a temática e não existe ainda uma participação efectiva no seio escolar por parte da comunidade. Os gestores escolares, relativamente ao grau de satisfação, referiram as condições das infra-estruturas e estado de conservação dos estabelecimentos escolares, como factores de maior descontentamento. Percepcionou-se que a gestão escolar é centrada nos problemas do quotidiano, não existindo uma planificação ou um programa legitimado de segurança, higiene e saúde a longo prazo. A análise à actuação do gestor escolar face à segurança e higiene, não pode efectuar-se alheia e separadamente do actual regime de autonomia, administração e gestão dos estabelecimentos públicos da educação pré-escolar e dos ensinos básico e secundário, porque o desempenho dos diferentes actores no processo educativo é por si condicionada. Cabe ao gestor escolar, na figura do Director(a) consagrar a segurança, higiene e saúde integradas na dinâmica escolar, promovendo um ambiente escolar mais saudável e seguro.

A contabilidade de gestão nas autarquias locais: o caso do Município de Espinho

Trabalho de Projeto apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria Orientação: Doutora Alcina Augusta de Sena Portugal Dias Coorientação: Doutora Amélia Cristina Ferreira Silva

O auditor interno e a gestão do risco empresarial

O objetivo central deste estudo consiste em demonstrar de que forma o trabalho do auditor interno contribui no processo de gestão de riscos empresariais. Neste sentido, faz-se uma abordagem sobre o conceito de Auditoria Interna, sendo uma atividade destinada a acrescentar valor à organização na medida em que a auxilia na consecução dos seus objetivos, proporcionando-lhe informações oportunas e relevantes para a tomada de decisão. Faz também considerações ao Controlo Interno, no sentido de que as organizações vão sentir diferentes necessidades de controlo interno dependendo da sua dimensão e complexidade do negócio. O controlo interno é um processo desenvolvido pelos Orgãos de Gestão com o propósito de garantir uma segurança razoável no cumprimento dos objetivos estabelecidos. Cabe ao auditor interno auxiliar nesse sentido, ou seja, debruçar-se sobre a avaliação da adequação e eficiência do Sistema de Controlo Interno. Por fim é abordada a importância da Gestão do Risco, neste contexto as organizações têm como compromisso prioritário a implementação de mecanismos de avaliação e gestão dos riscos que possam afetar as suas operações e o cumprimento dos objetivos estratégicos definidos. A Auditoria Interna vai fornecer segurança acerca da eficácia das atividades de gestão do risco das organizações para assegurar que os principais riscos de negócio estão a ser geridos de forma apropriada bem como os sistemas de controlo interno estão a funcionar eficazmente. Ainda na gestão do risco é abordado o modelo COSO ERM, instrumento importante para as organizações na medida em que melhoram a performance e o desempenho dos controlos internos implementados e progridem para um processo de gestão do risco. Faz-se também uma breve referência sobre a Lei Sox, que veio promover uma profunda reforma na elaboração dos relatórios financeiros, no detalhe minucioso sobre os aspetos do controlo interno nas organizações e na transparência das informações divulgadas pelas organizações.

Dynamic load management in a smart home to participate in demand response events

In future power systems, in the smart grid and microgrids operation paradigms, consumers can be seen as an energy resource with decentralized and autonomous decisions in the energy management. It is expected that each consumer will manage not only the loads, but also small generation units, heating systems, storage systems, and electric vehicles. Each consumer can participate in different demand response events promoted by system operators or aggregation entities. This paper proposes an innovative method to manage the appliances on a house during a demand response event. The main contribution of this work is to include time constraints in resources management, and the context evaluation in order to ensure the required comfort levels. The dynamic resources management methodology allows a better resources’ management in a demand response event, mainly the ones of long duration, by changing the priorities of loads during the event. A case study with two scenarios is presented considering a demand response with 30 min duration, and another with 240 min (4 h). In both simulations, the demand response event proposes the power consumption reduction during the event. A total of 18 loads are used, including real and virtual ones, controlled by the presented house management system.

Genetic algorithm methodology applied to intelligent house control

In recent years the use of several new resources in power systems, such as distributed generation, demand response and more recently electric vehicles, has significantly increased. Power systems aim at lowering operational costs, requiring an adequate energy resources management. In this context, load consumption management plays an important role, being necessary to use optimization strategies to adjust the consumption to the supply profile. These optimization strategies can be integrated in demand response programs. The control of the energy consumption of an intelligent house has the objective of optimizing the load consumption. This paper presents a genetic algorithm approach to manage the consumption of a residential house making use of a SCADA system developed by the authors. Consumption management is done reducing or curtailing loads to keep the power consumption in, or below, a specified energy consumption limit. This limit is determined according to the consumer strategy and taking into account the renewable based micro generation, energy price, supplier solicitations, and consumers’ preferences. The proposed approach is compared with a mixed integer non-linear approach.

Using data mining techniques to support DR programs definition in smart grids

In recent years, Power Systems (PS) have experimented many changes in their operation. The introduction of new players managing Distributed Generation (DG) units, and the existence of new Demand Response (DR) programs make the control of the system a more complex problem and allow a more flexible management. An intelligent resource management in the context of smart grids is of huge important so that smart grids functions are assured. This paper proposes a new methodology to support system operators and/or Virtual Power Players (VPPs) to determine effective and efficient DR programs that can be put into practice. This method is based on the use of data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 32 bus distribution network.