Selecting methods to solve multi-well master equations

There are several competing methods commonly used to solve energy grained master equations describing gas-phase reactive systems. When it comes to selecting an appropriate method for any particular problem, there is little guidance in the literature. In this paper we directly compare several variants of spectral and numerical integration methods from the point of view of computer time required to calculate the solution and the range of temperature and pressure conditions under which the methods are successful. The test case used in the comparison is an important reaction in combustion chemistry and incorporates reversible and irreversible bimolecular reaction steps as well as isomerizations between multiple unimolecular species. While the numerical integration of the ODE with a stiff ODE integrator is not the fastest method overall, it is the fastest method applicable to all conditions.

Mixed-integer nonlinear approach for the optimal scheduling of a head-dependent hydro chain

This paper is on the problem of short-term hydro scheduling (STHS), particularly concerning a head-dependent hydro chain We propose a novel mixed-integer nonlinear programming (MINLP) approach, considering hydroelectric power generation as a nonlinear function of water discharge and of the head. As a new contribution to eat her studies, we model the on-off behavior of the hydro plants using integer variables, in order to avoid water discharges at forbidden areas Thus, an enhanced STHS is provided due to the more realistic modeling presented in this paper Our approach has been applied successfully to solve a test case based on one of the Portuguese cascaded hydro systems with a negligible computational time requirement.

Transmission costs allocation based on optimal re-dispatch

Congestion management of transmission power systems has achieve high relevance in competitive environments, which require an adequate approach both in technical and economic terms. This paper proposes a new methodology for congestion management and transmission tariff determination in deregulated electricity markets. The congestion management methodology is based on a reformulated optimal power flow, whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the transactions resulting from market operation. The proposed transmission tariffs consider the physical impact caused by each market agents in the transmission network. The final tariff considers existing system costs and also costs due to the initial congestion situation and losses. This paper includes a case study for the 118 bus IEEE test case.

Ancillary service market simulation

Power systems operation in a liberalized environment requires that market players have access to adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper deals with ancillary services negotiation in electricity markets. The proposed concepts and methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case concerning the dispatch of ancillary services using two different methods (Linear Programming and Genetic Algorithm approaches) is included in the paper.

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 dispatch with reactive power compensation by Genetic Algorithm

This paper presents a Unit Commitment model with reactive power compensation that has been solved by Genetic Algorithm (GA) optimization techniques. The GA has been developed a computational tools programmed/coded in MATLAB. The main objective is to find the best generations scheduling whose active power losses are minimal and the reactive power to be compensated, subjected to the power system technical constraints. Those are: full AC power flow equations, active and reactive power generation constraints. All constraints that have been represented in the objective function are weighted with a penalty factors. The IEEE 14-bus system has been used as test case to demonstrate the effectiveness of the proposed algorithm. Results and conclusions are dully drawn.

Comparison between deterministic and meta-heuristic methods applied to ancillary services dispatch

This paper proposes two meta-heuristics (Genetic Algorithm and Evolutionary Particle Swarm Optimization) for solving a 15 bid-based case of Ancillary Services Dispatch in an Electricity Market. A Linear Programming approach is also included for comparison purposes. A test case based on the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is used to demonstrate that the use of meta-heuristics is suitable for solving this kind of optimization problem. Faster execution times and lower computational resources requirements are the most relevant advantages of the used meta-heuristics when compared with the Linear Programming approach.

Auction of financial transmission rights in electricity market environment

An auction model is used to increase the individual profits for market players with products they do not use. A Financial Transmission Rights Auction has the goal of trade transmission rights between Bidders and helps them raise their own profits. The ISO plays a major rule on keep the system in technical limits without interfere on the auctions offers. In some auction models the ISO decide want bids are implemented on the network, always with the objective maximize the individual profits for all bidders in the auction. This paper proposes a methodology for a Financial Transmission Rights Auction and an informatics application. The application receives offers from the purchase and sale side and considers bilateral contracts as Base Case. This goal is maximize the individual profits within the system in their technical limits. The paper includes a case study for the 30 bus IEEE test case.

Ancillary services market clearing simulation: a comparison between deterministic and heuristic methods

Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tool must include ancillary market simulation. This paper proposes two different methods (Linear Programming and Genetic Algorithm approaches) for ancillary services dispatch. The methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case based on California Independent System Operator (CAISO) data concerning the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is included in this paper.

Ancillary services dispatch using linear programming and genetic algorithm approaches

Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper proposes two different methods (Linear Programming and Genetic Algorithm approaches) for ancillary services dispatch. The methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case concerning the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is included in this paper.

Modified particle swarm optimization for day-ahead distributed energy resources scheduling including vehicle-to-grid

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

XATA 2010 : XML : Associated Technologies and Applications, 8th

These are the proceedings for the eighth national conference on XML, its Associated Technologies and its Applications (XATA'2010). The paper selection resulted in 33% of papers accepted as full papers, and 33% of papers accepted as short papers. While these two types of papers were distinguish during the conference, and they had different talk duration, they all had the same limit of 12 pages. We are happy that the selected papers focus both aspects of the conference: XML technologies, and XML applications. In the first group we can include the articles on parsing and transformation technologies, like “Processing XML: a rewriting system approach", “Visual Programming of XSLT from examples", “A Refactoring Model for XML Documents", “A Performance based Approach for Processing Large XML Files in Multicore Machines", “XML to paper publishing with manual intervention" and “Parsing XML Documents in Java using Annotations". XML-core related papers are also available, focusing XML tools testing on “Test::XML::Generator: Generating XML for Unit Testing" and “XML Archive for Testing: a benchmark for GuessXQ". XML as the base for application development is also present, being discussed on different areas, like “Web Service for Interactive Products and Orders Configuration", “XML Description for Automata Manipulations", “Integration of repositories in Moodle", “XML, Annotations and Database: a Comparative Study of Metadata Definition Strategies for Frameworks", “CardioML: Integrating Personal Cardiac Information for Ubiquous Diagnosis and Analysis", “A Semantic Representation of Users Emotions when Watching Videos" and “Integrating SVG and SMIL in DAISY DTB production to enhance the contents accessibility in the Open Library for Higher Education". The wide spread of subjects makes us believe that for the time being XML is here to stay what enhances the importance of gathering this community to discuss related science and technology. Small conferences are traversing a bad period. Authors look for impact and numbers and only submit their works to big conferences sponsored by the right institutions. However the group of people behind this conference still believes that spaces like this should be preserved and maintained. This 8th gathering marks the beginning of a new cycle. We know who we are, what is our identity and we will keep working to preserve that. We hope the publication containing the works of this year's edition will catch the same attention and interest of the previous editions and above all that this publication helps in some other's work. Finally, we would like to thank all authors for their work and interest in the conference, and to the scientific committee members for their review work.

Burnout em oncologia : o síndrome de burnout vivenciado por enfermeiros que trabalham numa unidade de administração de quimioterapia de um instituto oncológico

RESUMO - O burnout é um síndrome caracterizado, de forma mais frequente, por exaustão emocional, despersonalização elevadas e realização pessoal baixa. Normalmente, a pessoa sente-se fatigada e frustrada com as suas acções e sente que as suas expectativas não estão a ser correspondidas. Estando este fenómeno associado, possivelmente, com o ambiente laboral e com os factores de stresse existentes no local de trabalho, é habitual que surja em qualquer profissional, de qualquer classe profissional. Este trabalho de projecto concentrou-se no estudo de uma das profissões de ajuda mais conectadas a este síndrome, pela sua especificidade, a enfermagem, na área da oncologia, e o objectivo fulcral, é compreender que quadros de burnout apresentam os profissionais de enfermagem que trabalham num instituto oncológico e compreender, ainda, se existe associação entre a saúde mental, a satisfação profissional destes profissionais e as suas características sócio-demográficas. Este trabalho teve, ainda, como objectivo testar a metodologia utilizada com a aplicação dos seguintes instrumentos: Maslach Burnout Inventory (M.B.I.), Mental Health Inventory (M.H.I.) e o Questionário de Satisfação Profissional de GRAÇA (1999). Neste seguimento, utilizou-se um caso piloto de 20 enfermeiros que trabalham num serviço de administração de quimioterapia de um instituto oncológico, pretendendo-se, futuramente, desenvolver este estudo a nível institucional e numa amostra significativa, salientando, desde já, que todo o processo metodológico consistiu numa simulação, cujos resultados obtidos não poderão ser extrapoláveis e generalizados. Numa perspectiva da Protecção e Promoção da Saúde e Prevenção da doença, esta equipa identifica factores geradores de stresse e sugere algumas estratégias importantes para fortalecer estes ideais, que consistem, acima de tudo, em saber reconhecer o fenómeno e criar grupos de terapia e de reflexão. As organizações e superiores hierárquicos deverão, também, estar atentos a esta problemática, tornando os recursos humanos e materiais ajustados e proporcionado as tais estratégias que possibilitem um clima de harmonia e uma melhor qualidade dos cuidados.

Triassic stratigraphic evolution of the Arabian-Greater India embayment of the southern Tethys margin

An exceptional, tectonically remarkably unaffected, nearly 200 m-thick continuous section of hemipelagic and turbiditic sediments, covering most of the Triassic is described from the Batain Complex of north-eastern Oman. According to conodont and radiolarian data the sequence spans the late Scythian to the early Norian, a time period of nearly 30 M. Coupled with a high resolution stratigraphy, the lithostratigraphy, sedimentology, as well as sequence and isotope stratigraphy of the section are documented. For the Triassic of the Batain Plain we propose the new name Sal Formation, which replaces the formerly used Matbat Formation, and subdivide it into three new members. The Sal Formation was deposited on the proximal continental margin of northeastern Arabia and records various depositional environments. The lower member is interpreted as the distal part of a homoclinal ramp which evolves to a distally steepened ramp during time of deposition of the middle member. The upper member displays a toe of slope position which is indicated by an increase of proximal turbidites. These sediments form part of a segment of the Neo-Tethyan embayment between Arabia and India. The stratigraphic analysis indicates highly varying sedimentation rates from a minimum of 2 m/M gamma around the Anisian/Ladinian boundary up to 15 m/M gamma during the Lower and Upper Triassic. Sequence-stratigraphically, the Sal section is subdivided into six third order cycles which are biochronologically well integrated into the global Triassic cycle chart. The mixed siliciclastic-calcareous upper member of the Sal Formation typically shows highstand related carbonate shedding. It is, therefore, an important test case for sequence-stratigraphic controlled carbonate export to mixed basin fills. The well developed sequence stratigraphic cycles are mirrored in the isotope patterns. Additionally, the carbon and oxygen isotope data from the Sal Formation record the same chemostratigraphic marker at the Spathian/Anisian boundary known from other Tethyan sections.

Evaluation of MPI collectives for HPC applications on distributed virtualized environments

Through this study, we will measure how the collective MPI operations behaves in virtual and physical clusters, and its impact on the application performance. As we stated before, we will use as a test case the Weather Research and Forecasting simulations.