O Balanced Scorecard como instrumento de gestão estratégica: sua aplicabilidade no Instituto Superior de Gestão Financeira da Segurança Social, I.P.

Pretende-se com esta dissertação efectuar um estudo dos conceitos associados ao sistema Balanced Scorecard e como este agrupa e articula os vários indicadores financeiros e não financeiros em quatro perspectivas, a sua aplicabilidade em grandes ou pequenas organizações, qualquer que seja o seu âmbito de actuação, privada ou pública, com ou sem fins lucrativos e a sua importância para a gestão estratégica. De facto, as mudanças tecnológicas, socioculturais e económicas que se têm verificado nas últimas décadas, têm impelido as organizações a adaptarem-se a um novo mundo global e competitivo. Assim, desde 1990 que têm surgido diversos conteúdos bibliográficos e divulgações em conferências dando ênfase à eficácia da sua adopção, com reflexos visíveis na gestão das empresas e organizações do sector público que optam pela implementação deste instrumento que articula a estratégia com a gestão. A aderência à realidade através de um Estudo de Caso aplicado à implementação do Balanced Scorecard no Instituto de Gestão Financeira da Segurança Social, I. P. irá dar uma forte consistência ao desenvolvimento teórico a efectuar na primeira parte da dissertação.

Scheduling distributed energy resources in an isolated grid - an artificial neural network approach

Power Systems (PS), have been affected by substantial penetration of Distributed Generation (DG) and the operation in competitive environments. The future PS will have to deal with large-scale integration of DG and other distributed energy resources (DER), such as storage means, and provide to market agents the means to ensure a flexible and secure operation. Virtual power players (VPP) can aggregate a diversity of players, namely generators and consumers, and a diversity of energy resources, including electricity generation based on several technologies, storage and demand response. This paper proposes an artificial neural network (ANN) based methodology to support VPP resource schedule. The trained network is able to achieve good schedule results requiring modest computational means. A real data test case is presented.

Optimal methodology for renewable energy dispatching in islanded operation

The management of energy resources for islanded operation is of crucial importance for the successful use of renewable energy sources. A Virtual Power Producer (VPP) can optimally operate the resources taking into account the maintenance, operation and load control considering all the involved cost. This paper presents the methodology approach to formulate and solve the problem of determining the optimal resource allocation applied to a real case study in Budapest Tech’s. The problem 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 problem has also been solved by Evolutionary Particle Swarm Optimization (EPSO). The obtained results are presented and compared.

Intelligent multi-player smart grid management considering distributed energy resources and demand response

The smart grid concept is rapidly evolving in the direction of practical implementations able to bring smart grid advantages into practice. Evolution in legacy equipment and infrastructures is not sufficient to accomplish the smart grid goals as it does not consider the needs of the players operating in a complex environment which is dynamic and competitive in nature. Artificial intelligence based applications can provide solutions to these problems, supporting decentralized intelligence and decision-making. A case study illustrates the importance of Virtual Power Players (VPP) and multi-player negotiation in the context of smart grids. This case study is based on real data and aims at optimizing energy resource management, considering generation, storage and demand response.

Energy resources management for more sustainable distribution systems: an intelligent approach

Energy Resources Management can play a very relevant role in future power systems in SmartGrid context, with high penetration of distributed generation and storage systems. This paper deals with the importance of resources management in incident situation. The system to consider a high penetration of distributed generation, demand response, storage units and network reconfiguration. A case study evidences the advantages of using a flexible SCADA to control the energy resources in incident situation.

Emergency energy resource management in SmartGrids

Energy resources management can play a very relevant role in future power systems in a SmartGrid context, with intensive penetration of distributed generation and storage systems. This paper deals with the importance of resource management in incident situations. The paper presents DemSi, an energy resources management simulator that has been developed by the authors to simulate electrical distribution networks with high distributed generation penetration, storage in network points and customers with demand response contracts. DemSi is used to undertake simulations for an incident scenario, evidencing the advantages of adequately using flexible contracts, storage, and reserve in order to limit incident consequences.

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.

Dual source/dual energy-renal applications

Development of Dual Source Computed Tomography (Definition, Siemens Medical Solutions, Erlanger, Germany) allowed advances in temporal resolution, with the addition of a second X-ray source and an array of detectors to the TCM 64 slices. The ability to run exams on Dual Energy, allows greater differentiation of tissues, showing differences between closer attenuation coefficients. In terms of renal applications, the distinction of kidney stones and masses become one of the main advantages of the use of dual-energy technology. This article pretends to demonstrate operating principles of this equipment, as its main renal applications.

O Balanced scorecard como instrumento integrador da gestão de risco

O Balanced Scorecard (BSC) e o Enterprise Risk Management (ERM – Gestão do Risco Empresarial) são conceitos úteis à gestão que pretende uma consciência sistematizada do negócio, atenta à incerteza e aos seus riscos. O BSC será uma forma de disciplinar a gestão da empresa para enfrentar a complexidade do mundo empresarial, podendo ser visto como um instrumento integrador da gestão de risco. Ao estudar, nomear e atualizar perspetivas fundamentais para análise da empresa e sua atividade, o BSC vai cingindo campos de atenção onde procurar fatores de risco ou oportunidade. Considerar o BSC a pensar na gestão de risco suscita dificuldades associadas à recolha de informação, ao seu tratamento e à construção de um mapa estratégico realista; contudo, julgamos o BSC como um bom caminho de aproximação a uma gestão de risco comprometida e realista.

Balanced Scorecard aplicado às instituições agro-pecuárias

Mestrado em Contabilidade Internacional

A implementação do Balanced Scorecard nos trabalhos de auditoria interna e o seu contributo para a estratégia organizacional - caso do sector público: autarquia local

Mestrado em Auditoria

AI in power systems and energy markets

In a world increasingly conscientious about environmental effects, power and energy systems are undergoing huge transformations. Electric energy produced from power plants is transmitted and distributed to end users through a power grid. The power industry performs the engineering design, installation, operation, and maintenance tasks to provide a high-quality, secure energy supply while accounting for its systems’ abilities to withstand uncertain events, such as weather-related outages. Competitive, deregulated electricity markets and new renewable energy sources, however, have further complicated this already complex infrastructure.Sustainable development has also been a challenge for power systems. Recently, there has been a signifi cant increase in the installation of distributed generations, mainly based on renewable resources such as wind and solar. Integrating these new generation systems leads to more complexity. Indeed, the number of generation sources greatly increases as the grid embraces numerous smaller and distributed resources. In addition, the inherent uncertainties of wind and solar energy lead to technical challenges such as forecasting, scheduling, operation, control, and risk management. In this special issue introductory article, we analyze the key areas in this field that can benefi t most from AI and intelligent systems now and in the future.We also identify new opportunities for cross-fertilization between power systems and energy markets and intelligent systems researchers.

O controlo de gestão nas instituições financeiras e a aplicabilidade do balanced scorecard numa instituição financeira a nível regional

Mestrado em Contabilidade e Gestão das Instituições Financeiras

O Balanced Scorecard no sector de controlo contabilístico

Mestrado em Contabilidade e Gestão das Instituições Financeiras

Distributed Model Predictive Control for Housing with Hourly Auction of Available Energy

This paper presents a distributed model predictive control (DMPC) for indoor thermal comfort that simultaneously optimizes the consumption of a limited shared energy resource. The control objective of each subsystem is to minimize the heating/cooling energy cost while maintaining the indoor temperature and used power inside bounds. In a distributed coordinated environment, the control uses multiple dynamically decoupled agents (one for each subsystem/house) aiming to achieve satisfaction of coupling constraints. According to the hourly power demand profile, each house assigns a priority level that indicates how much is willing to bid in auction for consume the limited clean resource. This procedure allows the bidding value vary hourly and consequently, the agents order to access to the clean energy also varies. Despite of power constraints, all houses have also thermal comfort constraints that must be fulfilled. The system is simulated with several houses in a distributed environment.