Distributed energy resources management with cyber-physical SCADA in the context of future smart grids

In the energy management of a small power system, the scheduling of the generation units is a crucial problem for which adequate methodologies can maximize the performance of the energy supply. This paper proposes an innovative methodology for distributed energy resources management. The optimal operation of distributed generation, demand response and storage resources is formulated as a mixed-integer linear programming model (MILP) and solved by a deterministic optimization technique CPLEX-based implemented in General Algebraic Modeling Systems (GAMS). The paper deals with a vision for the grids of the future, focusing on conceptual and operational aspects of electrical grids characterized by an intensive penetration of DG, in the scope of competitive environments and using artificial intelligence methodologies to attain the envisaged goals. These concepts are implemented in a computational framework which includes both grid and market simulation.

Estrutura conceptual para a preparação e apresentação das demostrações financeiras

Jornadas de Contabilidade e Fiscalidade promovidas pelo Instituto Superior de Contabilidade e Administração do Porto, em Abril de 2009

Conceptual model for decomposing the value for the customer

Value has been defined in different theoretical contexts as need, desire, interest, standard /criteria, beliefs, attitudes, and preferences. The creation of value is key to any business, and any business activity is about exchanging some tangible and/or intangible good or service and having its value accepted and rewarded by customers or clients, either inside the enterprise or collaborative network or outside. “Perhaps surprising then is that firms often do not know how to define value, or how to measure it” (Anderson and Narus, 1998 cited by [1]). Woodruff echoed that we need “richer customer value theory” for providing an “important tool for locking onto the critical things that managers need to know”. In addition, he emphasized, “we need customer value theory that delves deeply into customer’s world of product use in their situations” [2]. In this sense, we proposed and validated a novel “Conceptual Model for Decomposing the Value for the Customer”. To this end, we were aware that time has a direct impact on customer perceived value, and the suppliers’ and customers’ perceptions change from the pre-purchase to the post-purchase phases, causing some uncertainty and doubts.We wanted to break down value into all its components, as well as every built and used assets (both endogenous and/or exogenous perspectives). This component analysis was then transposed into a mathematical formulation using the Fuzzy Analytic Hierarchy Process (AHP), so that the uncertainty and vagueness of value perceptions could be embedded in this model that relates used and built assets in the tangible and intangible deliverable exchange among the involved parties, with their actual value perceptions.

Multi-agent based electricity market simulator with VPP: Conceptual and implementation issues

This paper presents a new architecture for the MASCEM, a multi-agent electricity market simulator. This is implemented in a Prolog which is integrated in the JAVA program by using the LPA Win-Prolog Intelligence Server (IS) provides a DLL interface between Win-Prolog and other applications. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Producers (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. VPPs can reinforce the importance of these generation technologies making them valuable in electricity markets.

Corporate brand identity – a conceptual redefinition

There is a wide agreement that identity is a multidisciplinary concept. Branding is an identity expression. Although there are some frameworks to assess brand identity there isn’t an accepted definition. The authors consider this a gap in literature and investigate the components to assess brand identity under a holistic approach. Literature was reviewed and reinterpreted under an integrated perspective evolving corporate and brand identity studies. The authors propose a definition and nine componentscharacterizing corporate brand identity: reputation, culture, positioning, personality, relationships network, presentation style, communication, environmental influences and mission. Some are related with internal and others to external facets. The authorsare strongly encouraged to test these results empirically towards validity and reliability of the proposed construct.

Demand response in future power systems management – a conceptual framework and simulation tool

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

Abordagem à estruturação conceptual de um subdomínio do dicionário

Uma das abordagens mais importantes da terminologia é a desenvolvida pelas disciplinas técnico-científicas, para as quais representa a reflexão formal da sua organização conceptual e, como tal, um meio essencial de expressão e comunicação. De forma a desenvolver as diferentes tarefas a que se propõe, a terminologia tem como principal objecto de estudo os textos de línguas de especialidade, que são o primeiro veículo, por excelência, de expressão e comunicação das disciplinas suprareferidas. Estes textos reflectem, normalmente, um tipo de comunicação especializada, cujo objectivo é o da transferência de conhecimentos, realizada com recurso a um sistema de representação verbal. No entanto, a abertura e a extensão do texto escrito a outros meios de representação, sobretudo nas áreas técnicas, está a conduzir a uma nova tendência no campo da terminologia e da pesquisa das línguas de especialidade, que tem vindo a reforçar a importância da utilização de formas não-verbais para representar o conhecimento. A tendência para o aumento do uso destas formas de representação, normalmente em complemento ou conjugação com a informação verbal, aponta para um novo paradigma em que a linguagem, como representação do pensamento, parece estar em busca de uma nova abordagem que venha transformar a maneira de produzir, organizar e transmitir conhecimentos, recorrendo às novas tecnologias, cada vez mais à disposição da chamada sociedade do conhecimento. A nossa percepção desta realidade ganhou maior consistência ao longo do desenvolvimento de um projecto terminográfico de elaboração do Dicionário Multilingue de População e Desenvolvimento, no qual o recurso a sistemas de representação nãoverbais (organigramas e outro tipo de representações visuais), utilizados como forma de percepção e organização dos conceitos e dos domínios a incluir no dicionário, se tornou um meio importante de aquisição, discussão, estruturação e transmissão do conhecimento. Daí a decisão de abordarmos, ainda que de forma breve, a análise de duas problemáticas sugeridas pelo desenrolar daquele projecto. A primeira recai sobre o estabelecimento de relações semânticas entre os conceitos, sobre as implicações deste processo na estruturação conceptual e sobre a sua importância no processamento da informação terminológica. A segunda incide na análise do recurso aos meios de representação não-verbais e do papel que desempenham e que podem vir a desempenhar no desenrolar do processo terminológico, enquanto elementos de estruturação de um sistema conceptual, de estruturação de um projecto terminológico e de comunicação especializada. Estas duas problemáticas estão directamente interrelacionadas e devem ser analisadas em conjunto, sobretudo quando se trata de formalizar a informação e armazená-la numa base de dados terminológica, de forma a poder ser processada (semi)automaticamente.

On a generalized Laguerre operational matrix of fractional integration

A new operationalmatrix of fractional integration of arbitrary order for generalized Laguerre polynomials is derived.The fractional integration is described in the Riemann-Liouville sense.This operational matrix is applied together with generalized Laguerre tau method for solving general linearmultitermfractional differential equations (FDEs).Themethod has the advantage of obtaining the solution in terms of the generalized Laguerre parameter. In addition, only a small dimension of generalized Laguerre operational matrix is needed to obtain a satisfactory result. Illustrative examples reveal that the proposedmethod is very effective and convenient for linear multiterm FDEs on a semi-infinite interval.

Operational modal monitoring of ancient structures using wireless technology

Operational Modal Analysis is currently applied in structural dynamic monitoring studies using conventional wired based sensors and data acquisition platforms. This approach, however, becomes inadequate in cases where the tests are performed in ancient structures with esthetic concerns or in others, where the use of wires greatly impacts the monitoring system cost and creates difficulties in the maintenance and deployment of data acquisition platforms. In these cases, the use of sensor platforms based on wireless and MEMS would clearly benefit these applications. This work presents a first attempt to apply this wireless technology to the structural monitoring of historical masonry constructions in the context of operational modal analysis. Commercial WSN platforms were used to study one laboratory specimen and one of the structural elements of a XV century building in Portugal. Results showed that in comparison to the conventional wired sensors, wireless platforms have poor performance in respect to the acceleration time series recorded and the detection of modal shapes. However, for frequency detection issues, reliable results were obtained, especially when random excitation was used as noise source.

Schem@Doc: a web-based XML schema visualizer

XML Schema is one of the most used specifications for defining types of XML documents. It provides an extensive set of primitive data types, ways to extend and reuse definitions and an XML syntax that simplifies automatic manipulation. However, many features that make XML Schema Definitions (XSD) so interesting also make them rather cumbersome to read. Several tools to visualize and browse schema definitions have been proposed to cope with this issue. The novel approach proposed in this paper is to base XSD visualization and navigation on the XML document itself, using solely the web browser, without requiring a pre-processing step or an intermediate representation. We present the design and implementation of a web-based XML Schema browser called schem@Doc that operates over the XSD file itself. With this approach, XSD visualization is synchronized with the source file and always reflects its current state. This tool fits well in the schema development process and is easy to integrate in web repositories containing large numbers of XSD files.

Decision Support Concerning Demand Response Programs Design and Use – A Conceptual Framework and Simulation Tool

Demand response can play a very relevant role in the context of power systems with an intensive use of distributed energy resources, from which renewable intermittent sources are a significant part. More active consumers participation can help improving the system reliability and decrease or defer the required investments. Demand response adequate use and management is even more important in competitive electricity markets. However, experience shows difficulties to make demand response be adequately used in this context, showing the need of research work in this area. The most important difficulties seem to be caused by inadequate business models and by inadequate demand response programs management. This paper contributes to developing methodologies and a computational infrastructure able to provide the involved players with adequate decision support on demand response programs and contracts design and use. The presented work uses DemSi, a demand response simulator that has been developed by the authors to simulate demand response actions and programs, which includes realistic power system simulation. It includes an optimization module for the application of demand response programs and contracts using deterministic and metaheuristic approaches. The proposed methodology is an important improvement in the simulator while providing adequate tools for demand response programs adoption by the involved players. A machine learning method based on clustering and classification techniques, resulting in a rule base concerning DR programs and contracts use, is also used. A case study concerning the use of demand response in an incident situation is presented.