ANN based support for distributed energy resources scheduling in smart grids

The future scenarios for operation of smart grids are likely to include a large diversity of players, of different types and sizes. With control and decision making being decentralized over the network, intelligence should also be decentralized so that every player is able to play in the market environment. In the new context, aggregator players, enabling medium, small, and even micro size players to act in a competitive environment, will be very relevant. Virtual Power Players (VPP) and single players must optimize their energy resource management in order to accomplish their goals. This is relatively easy to larger players, with financial means to have access to adequate decision support tools, to support decision making concerning their optimal resource schedule. However, the smaller players have difficulties in accessing this kind of tools. So, it is required that these smaller players can be offered alternative methods to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), intended to support smaller players’ resource scheduling. The used methodology uses a training set that is built using the energy resource scheduling solutions obtained with a reference optimization methodology, a mixed-integer non-linear programming (MINLP) in this case. The trained network is able to achieve good schedule results requiring modest computational means.

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.

Multilevel negotiation in smart grids for VPP management of distributed resources

A multilevel negotiation mechanism for operating smart grids and negotiating in electricity markets considers the advantages of virtual power player management.

Technical and economic resources management in smart grids using heuristic optimization methods

Intensive use of Distributed Generation (DG) represents a change in the paradigm of power systems operation making small-scale energy generation and storage decision making relevant for the whole system. This paradigm led to the concept of smart grid for which an efficient management, both in technical and economic terms, should be assured. This paper presents a new approach to solve the economic dispatch in smart grids. The proposed methodology for resource management involves two stages. The first one considers fuzzy set theory to define the natural resources range forecast as well as the load forecast. The second stage uses heuristic optimization to determine the economic dispatch considering the generation forecast, storage management and demand response

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.

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.

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.

Hospital volunteers – are they satisfied?

We examine satisfaction with HRM practices, namely recruitment, training and rewarding in NPO’s and attitudes regarding the appropriateness of these practices. The participants in this study are 76 volunteers, affiliated to 4 different NPO’s, which work in hospitals and have direct contact with patients and their families. Analysing aggregate results we show that volunteers are more satisfied with training, and consider that the training strategies are very appropriate. After identifying differences between organisations we discover that in some organizations volunteers are satisfied with rewards, but in opposition they have negative attitudes regarding the appropriateness of the recognition strategies and vice-versa an opposite relation between satisfaction with reward and recognition strategies and the process of reward and recognition. We also name the more and less satisfied volunteers.

Marketing social e gestão de voluntários em ONG's

Este trabalho apresenta um projecto de investigação que relaciona a área do marketing social com a gestão do voluntariado em ONG’s. Trata-se de uma primeira reflexão que contextualiza a problemática da gestão de pessoas não remuneradas nessas organizações e introduz diversas questões sobre a gestão das ONG’s e do voluntariado. Nomeadamente, qual o papel do voluntariado nas ONG’s e quais as principais motivações associadas ao voluntariado? Como é que as ONG’s podem recrutar e seduzir de forma eficaz o voluntariado? Qual a particularidade do comportamento organizacional nestas organizações, como, por exemplo, que conflitos surgem entre os corpos profissionalizados e os voluntários nessas organizações?

Causa Maior – um modelo a seguir? Marketing e responsabilidade social

O presente artigo debruça-se sobre os conceitos de responsabilidade social e marketing, dando especial enfoque ao marketing relacionado a causas, servindo o sector lucrativo e não lucrativo. Focaliza-se a análise na campanha e projecto CAUSA MAIOR uma iniciativa do Modelo e Cruz Vermelha Portuguesa, com três anos de existência, dirigido a diversas franjas da população. Este é um projecto socialmente responsável por visar combater o isolamento e a exclusão social numa categoria demográfica especialmente frágil - os seniores, materializando-se em cirurgias, equipamentos ortopédicos de apoio, entre outros. O CAUSA MAIOR teve acções de marketing fortíssimas com vista à promoção do seu produto solidário, para isso recorreu à associação a figuras públicas, parceria com uma estação televisiva, surgimento em programas televisivos, de tal forma que o projecto per si garantiu a continuidade do mesmo e inputs muito importantes para a Cruz Vermelha Portuguesa.

Organisational influence on volunteer satisfaction and attitudes towards HRM practices: the case of hospital volunteers

We examine volunteer satisfaction with HRM practices, namely recruitment, training and reward in NPOs and attitudes regarding the appropriateness of these practices. The participants in this study are 76 volunteers affiliated with four different NPOs, who work in hospitals and have direct contact with patients and their families. Analysing aggregate results we show that volunteers are more satisfied with training, and consider the training strategies to be very appropriate. After identifying differences between organisations we discover that in some organisations volunteers are satisfied with rewards but they have negative attitudes regarding the appropriateness of the recognition strategies. We also identify the volunteers who are the most and the least satisfied.

Dynamic power- and failure-aware cloud resources allocation for Sets of independent tasks

Cloud computing is increasingly being adopted in different scenarios, like social networking, business applications, scientific experiments, etc. Relying in virtualization technology, the construction of these computing environments targets improvements in the infrastructure, such as power-efficiency and fulfillment of users’ SLA specifications. The methodology usually applied is packing all the virtual machines on the proper physical servers. However, failure occurrences in these networked computing systems can induce substantial negative impact on system performance, deviating the system from ours initial objectives. In this work, we propose adapted algorithms to dynamically map virtual machines to physical hosts, in order to improve cloud infrastructure power-efficiency, with low impact on users’ required performance. Our decision making algorithms leverage proactive fault-tolerance techniques to deal with systems failures, allied with virtual machine technology to share nodes resources in an accurately and controlled manner. The results indicate that our algorithms perform better targeting power-efficiency and SLA fulfillment, in face of cloud infrastructure failures.

A exportação do mel português: um estudo exploratório sobre as motivações, barreiras e estratégias

Dissertação de Mestrado apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Empreendedorismo e Internacionalização, sob orientação de Professor Doutor António Correia de Barros

Práticas de Gestão de Recursos Humanos nas IPSS

As instituições particulares de solidariedade social (IPSS) são entidades constituídas por iniciativa de particulares e sem finalidade lucrativa com o propósito de dar expressão organizada ao dever moral de solidariedade e de justiça entre os indivíduos. Considerando as dificuldades económicas que Portugal atravessa estas instituições assumem um papel fundamental na sociedade de hoje, sendo o mesmo reconhecido por estado e clientes. O capital humano é o elemento central no que concerne aos ativos intangíveis e é formado pelas pessoas que integram a instituição. É essencial analisar a gestão dos recursos humanos das IPSS tendo em conta que estes, alinhados com a direção, são parte fulcral para a instituição atingir os objetivos a que se propõe. Com este estudo pretendemos analisar as práticas de gestão de recursos humanos aplicadas pelas IPSS e para o conseguir utilizamos um questionário diagnóstico, distribuído a uma amostra da população, e analisamos as práticas de uma IPSS através de um estudo de caso. O estudo mostrou que as IPSS aplicam maioritariamente a gestão administrativa de recursos humanos e que a regulamentação das instituições por parte da Segurança Social é um fator importante na tipologia de gestão aplicada. As conclusões baseiam-se na análise do estudo de caso e das respostas ao questionário, pelas IPSS da amostra, razão pela qual a generalização das conclusões deverá ser ponderada.