A Hybrid Simulated Annealing approach to handle Energy Resource Management considering an intensive use of Electric Vehicles

The massification of electric vehicles (EVs) can have a significant impact on the power system, requiring a new approach for the energy resource management. The energy resource management has the objective to obtain the optimal scheduling of the available resources considering distributed generators, storage units, demand response and EVs. The large number of resources causes more complexity in the energy resource management, taking several hours to reach the optimal solution which requires a quick solution for the next day. Therefore, it is necessary to use adequate optimization techniques to determine the best solution in a reasonable amount of time. This paper presents a hybrid artificial intelligence technique to solve a complex energy resource management problem with a large number of resources, including EVs, connected to the electric network. The hybrid approach combines simulated annealing (SA) and ant colony optimization (ACO) techniques. The case study concerns different EVs penetration levels. Comparisons with a previous SA approach and a deterministic technique are also presented. For 2000 EVs scenario, the proposed hybrid approach found a solution better than the previous SA version, resulting in a cost reduction of 1.94%. For this scenario, the proposed approach is approximately 94 times faster than the deterministic approach.

Sharing best practices in introducing and teaching ethics principles to public administration employees : research report

O projeto, financiado pelo Programa Aprendizagem ao Longo da Vida, decorreu entre 1 de agosto de 2011 e 31 de julho de 2013 e foi coordenado pelo Instituto de Administração Pública de Praga, tendo como parceiros a Escola de Economia e Direito de Berlim, a Escola Nacional de Administração Pública da Polónia e o INA, de Portugal. A coordenação portuguesa do estudo esteve a cargo da Prof. Doutora Helena Rato e da Dra. Matilde Gago, com a colaboração do Prof. Doutor César Madureira e da Dra. Margarida Quintela, ex investigadores do INA, atualmente na DGAEP.

A satisfação dos trabalhadores com as práticas de gestão de recursos humanos: o caso de uma Instituição do Ensino Superior Público em Portugal

Este estudo tem como objetivos: (1) conhecer as práticas desenvolvidas numa organização do Ensino Superior Público Português; (2) conhecer a tipologia das práticas de GRH de cariz tradicional e de cariz estratégico; (3) perceber em que medida as práticas de GRH estão relacionadas com a área de qualificação dos responsáveis do departamento de RH; (4) averiguar o grau de satisfação que os trabalhadores sentem com as Práticas de Gestão de Recursos Humanos desenvolvidas e a sua relação com a área de qualificação dos responsáveis do departamento de RH. Foi utilizada uma metodologia mista, que possibilita ampliar a obtenção de resultados em abordagens investigativas, proporcionando ganhos relevantes para a pesquisa. É realizado um primeiro estudo exploratório, que utiliza uma metodologia mista quantitativa e qualitativa, com recurso a uma entrevista semiestruturada e inquérito realizados aos responsáveis de RH, e que tem como objetivos identificar e caracterizar as Práticas de GRH vigentes na Organização e, consequentemente, averiguar se se aproximam das designadas na literatura, assim como averiguar o grau de intervenção do DRH no desenvolvimento das PGRH e caraterizar o perfil do responsável de RH na Organização, averiguando se a área de formação de RH influencia as Práticas de GRH desenvolvidas. No segundo estudo, recorremos a uma metodologia quantitativa com recurso ao inquérito por questionário, aplicado aos trabalhadores que exercem funções a tempo integral, para averiguar o grau de satisfação dos trabalhadores em relação às Práticas de Gestão de Recursos Humanos. Na compilação dos dois estudos foi nosso objetivo obter respostas às questões que orientaram a nossa investigação. Na parte final da dissertação são discutidos os principais resultados obtidos e apresentadas as conclusões do estudo aqui levado a cabo. Os resultados sugerem que: 1) as PGRH existentes são essencialmente de cariz tradicional, em especial a gestão administrativa; 2) as PGRH predominantes são: o Planeamento de Recursos Humanos, a Análise e Descrição de Funções, o Recrutamento e Seleção, a Formação e Desenvolvimento, a Gestão Administrativa, a Comunicação e a Partilha de Informação, Ética e Deontologia e o Estatuto Disciplinar; 3) existe pouco recurso ao outsourcing para as PGRH; 4) o grau de intervenção DRH baseia-se em atividades de cariz mais administrativo; 5) as práticas tradicionais de RH são aquelas que requerem mais tempo ao DRH; 6) não existe relação entre o tipo de PGRH e a área de qualificação do responsável do DRH; 7) as PGRH são realizadas seguindo essencialmente as normas legais e regras rígidas da GRH na AP; 8) algumas PGRH não são entendidas em contexto da AP, como importantes pelos gestores, embora já sejam desenvolvidos alguns procedimentos dessas práticas; 9) a PGRH da formação e desenvolvimento não é corretamente desenvolvida e não dá cumprimento ao estipulado na lei; 10) a gestão de carreiras e o sistema de compensação e recompensas são entendidas como inexistentes, porque não existem promoções e progressões desde 2005; 11) a avaliação do desempenho é um sistema burocrático e ritualista com fins de promoção e compensação, sem efeitos práticos no momento atual, e que causa insatisfação e o sentimento de injustiça; 12) existem problemas de comunicação quanto a partilha e uniformização de procedimentos entre UO; 13) a satisfação dos trabalhadores é maior com as PGRH de tipo tradicional, nomeadamente na gestão administrativa, recrutamento e seleção, análise e descrição de funções, acolhimento, integração e socialização 14) a satisfação é menor na gestão de carreiras, no sistema de compensação e recompensas e na avaliação do desempenho; 15) quanto a relação entre o grau de satisfação e as características sócio demográficas e profissionais dos inquiridos, os casos com significância mostram que os trabalhadores com 10 ou mais anos de antiguidade tendem a sentir mais satisfação com as práticas em GRH; 16) existe mais satisfação dos trabalhadores das UO onde o responsável de DRH possui formação na área de RH.

Simulated Annealing Approach Applied to the Energy Resource Management Considering Demand Response for Electric Vehicle

The aggregation and management of Distributed Energy Resources (DERs) by an Virtual Power Players (VPP) is an important task in a smart grid context. The Energy Resource Management (ERM) of theses DERs can become a hard and complex optimization problem. The large integration of several DERs, including Electric Vehicles (EVs), may lead to a scenario in which the VPP needs several hours to have a solution for the ERM problem. This is the reason why it is necessary to use metaheuristic methodologies to come up with a good solution with a reasonable amount of time. The presented paper proposes a Simulated Annealing (SA) approach to determine the ERM considering an intensive use of DERs, mainly EVs. In this paper, the possibility to apply Demand Response (DR) programs to the EVs is considered. Moreover, a trip reduce DR program is implemented. The SA methodology is tested on a 32-bus distribution network with 2000 EVs, and the SA results are compared with a deterministic technique and particle swarm optimization results.

Application-Specific Modified Particle Swarm Optimization for energy resource scheduling considering vehicle-to-grid

This paper presents a modified Particle Swarm Optimization (PSO) methodology to solve the problem of energy resources management with high penetration of distributed generation and Electric Vehicles (EVs) with gridable capability (V2G). The objective of the day-ahead scheduling problem in this work is to minimize operation costs, namely energy costs, regarding the management of these resources in the smart grid context. The modifications applied to the PSO aimed to improve its adequacy to solve the mentioned problem. The proposed Application Specific Modified Particle Swarm Optimization (ASMPSO) includes an intelligent mechanism to adjust velocity limits during the search process, as well as self-parameterization of PSO parameters making it more user-independent. It presents better robustness and convergence characteristics compared with the tested PSO variants as well as better constraint handling. This enables its use for addressing real world large-scale problems in much shorter times than the deterministic methods, providing system operators with adequate decision support and achieving efficient resource scheduling, even when a significant number of alternative scenarios should be considered. The paper includes two realistic case studies with different penetration of gridable vehicles (1000 and 2000). The proposed methodology is about 2600 times faster than Mixed-Integer Non-Linear Programming (MINLP) reference technique, reducing the time required from 25 h to 36 s for the scenario with 2000 vehicles, with about one percent of difference in the objective function cost value.

Distributed Energy Resources Management using Plug-in Hybrid Electric Vehicles as a Fuel-Shifting Demand Response Resource

In the smart grids context, distributed energy resources management plays an important role in the power systems’ operation. Battery electric vehicles and plug-in hybrid electric vehicles should be important resources in the future distribution networks operation. Therefore, it is important to develop adequate methodologies to schedule the electric vehicles’ charge and discharge processes, avoiding network congestions and providing ancillary services. This paper proposes the participation of plug-in hybrid electric vehicles in fuel shifting demand response programs. Two services are proposed, namely the fuel shifting and the fuel discharging. The fuel shifting program consists in replacing the electric energy by fossil fuels in plug-in hybrid electric vehicles daily trips, and the fuel discharge program consists in use of their internal combustion engine to generate electricity injecting into the network. These programs are included in an energy resources management algorithm which integrates the management of other resources. The paper presents a case study considering a 37-bus distribution network with 25 distributed generators, 1908 consumers, and 2430 plug-in vehicles. Two scenarios are tested, namely a scenario with high photovoltaic generation, and a scenario without photovoltaic generation. A sensitivity analyses is performed in order to evaluate when each energy resource is required.

Real-time Energy Resource Scheduling considering a Real Portuguese Scenario

The development in power systems and the introduction of decentralized generation and Electric Vehicles (EVs), both connected to distribution networks, represents a major challenge in the planning and operation issues. This new paradigm requires a new energy resources management approach which considers not only the generation, but also the management of loads through demand response programs, energy storage units, EVs and other players in a liberalized electricity markets environment. This paper proposes a methodology to be used by Virtual Power Players (VPPs), concerning the energy resource scheduling in smart grids, considering day-ahead, hour-ahead and real-time scheduling. The case study considers a 33-bus distribution network with high penetration of distributed energy resources. The wind generation profile is based on a real Portuguese wind farm. Four scenarios are presented taking into account 0, 1, 2 and 5 periods (hours or minutes) ahead of the scheduling period in the hour-ahead and realtime scheduling.

A New Heuristic Providing an Effective Initial Solution for a Simulated Annealing approach to Energy Resource Scheduling in Smart Grids

An intensive use of dispersed energy resources is expected for future power systems, including distributed generation, especially based on renewable sources, and electric vehicles. The system operation methods and tool must be adapted to the increased complexity, especially the optimal resource scheduling problem. Therefore, the use of metaheuristics is required to obtain good solutions in a reasonable amount of time. This paper proposes two new heuristics, called naive electric vehicles charge and discharge allocation and generation tournament based on cost, developed to obtain an initial solution to be used in the energy resource scheduling methodology based on simulated annealing previously developed by the authors. The case study considers two scenarios with 1000 and 2000 electric vehicles connected in a distribution network. The proposed heuristics are compared with a deterministic approach and presenting a very small error concerning the objective function with a low execution time for the scenario with 2000 vehicles.

Energy Resource Management under the Influence of the Weekend Transition Considering an Intensive use of Electric Vehicles

Energy resource scheduling is becoming increasingly important, as the use of distributed resources is intensified and of massive electric vehicle is envisaged. The present paper proposes a methodology for day-ahead energy resource scheduling for smart grids considering the intensive use of distributed generation and Vehicle-to-Grid (V2G). This method considers that the energy resources are managed by a Virtual Power Player (VPP) which established contracts with their owners. It takes into account these contracts, the users' requirements subjected to the VPP, and several discharge price steps. The full AC power flow calculation included in the model takes into account network constraints. The influence of the successive day requirements on the day-ahead optimal solution is discussed and considered in the proposed model. A case study with a 33-bus distribution network and V2G is used to illustrate the good performance of the proposed method.

Resource Scheduling in Residential Microgrids Considering Energy Selling to External Players

The operation of distribution networks has been facing changes with the implementation of smart grids and microgrids, and the increasing use of distributed generation. The specific case of distribution networks that accommodate residential buildings, small commerce, and distributed generation as the case of storage and PV generation lead to the concept of microgrids, in the cases that the network is able to operate in islanding mode. The microgrid operator in this context is able to manage the consumption and generation resources, also including demand response programs, obtaining profits from selling electricity to the main network. The present paper proposes a methodology for the energy resource scheduling considering power flow issues and the energy buying and selling from/to the main network in each bus of the microgrid. The case study uses a real distribution network with 25 bus, residential and commercial consumers, PV generation, and storage.

Improving discovery in the life sciences using semantic Web technologies and linked data: design principles for life sciences knowledge organization systems

Dissertation presented to obtain the Ph.D degree in Bioinformatics

Lean enterprise resource planning

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia e Gestão Industrial

Expatriates’ influence on knowledge sharing: an empirical study with International portuguese companies

Despite the abundant literature in knowledge management, few empirical studies have explored knowledge management in connection with international assignees. This phenomenon has a special relevance in the Portuguese context, since (a) there are no empirical studies concerning this issue that involves international Portuguese companies; (b) the national business reality is incipient as far as internationalisation is concerned, and; (c) the organisational and national culture presents characteristics that are distinctive from the most highly studied contexts (e.g., Asia, USA, Scandinavian countries, Spain, France, The Netherlands, Germany, England and Russia). We examine the role of expatriates in transfer and knowledge sharing within the Portuguese companies with operations abroad. We focus specifically on expatriates’ role on knowledge sharing connected to international Portuguese companies and our findings take into account organizational representatives’ and expatriates’ perspectives. Using a comparative case study approach, we examine how three main dimensions influence the role of expatriates in knowledge sharing among headquarters and their subsidiaries (types of international assignment, reasons for using expatriation and international assignment characteristics). Data were collected using semi‐structured interviews to 30 Portuguese repatriates and 14 organizational representatives from seven Portuguese companies. The findings suggest that the reasons that lead Portuguese companies to expatriating employees are connected to: (1) business expansion needs; (2) control of international operations and; (3) transfer and knowledge sharing. Our study also shows that Portuguese companies use international assignments in order to positively respond to the increasingly decaying domestic market in the economic areas in which they operate. Evidence also reveals that expatriation is seen as a strategy to fulfill main organizational objectives through their expatriates (e.g., business internationalization, improvement of the coordination and control level of the units/subsidiaries abroad, replication of aspects of the home base, development and incorporation of new organizational techniques and processes). We also conclude that Portuguese companies have developed an International Human Resources Management strategy, based on an ethnocentric approach, typically associated with companies in early stages of internationalization, i.e., the authority and decision making are centered in the home base. Expatriates have a central role in transmitting culture and technical knowledge from company’s headquarters to the company’s branches. Based on the findings, the article will discuss in detail the main theoretical and managerial implications. Suggestions for further research will also be presented.

The role of human resource management practices on repatriates’ retention: a literature review

This investigation reviews literature on human resource management practices that influence the retention of repatriates. The processes of selection and training/preparation before the departure, the role of the mentor and of communication during the international assignment, a program of readjustment to repatriation and a career development plan after return to the home firm are the practices identified in the literature as the main promoters of repatriates’ retention. Evidence suggests that greater responsibility on the part of the firms before, during and after the international assignment allows for more efficiency in the management of their repatriates.