Optimal contract pricing of distributed generation under a competitive framework

A bilevel programming approach for the optimal contract pricing of distributed generation (DG) in distribution networks is presented. The outer optimization problem corresponds to the owner of the DG who must decide the contract price that would maximize his profits. The inner optimization problem corresponds to the distribution company (DisCo), which procures the minimization of the payments incurred in attending the expected demand while satisfying network constraints. The meet the expected demand the DisCo can purchase energy either form the transmission network through the substations or form the DG units within its network. The inner optimization problem is substituted by its Karush- Kuhn-Tucker optimality conditions, turning the bilevel programming problem into an equivalent single-level nonlinear programming problem which is solved using commercially available software. © 2010 IEEE.

Congested hubs

Hub congestion is a major problem and a relevant policy issue because it causes delays and many organizational problems at airports that end up implying unpleasant consequences both for air travelers and airlines. In a competitive framework in which carriers choose aircraft size, this paper suggests that airlines schedule too many flights using overly small aircraft, which constitutes a major contributor to congestion. Two- part congestion tolls, accounting for the congestion imposed on other carriers and the congestion imposed on all passengers, are needed to recover e¢ ciency. Finally, we analyze the validity of the results by studying the effects of network size, airport capacity, competition in layover time, and the formation of airline alliances. Keywords: congestion; hub-and-spoke networks; overprovision of frequency; con- gestion internalization; congestion tolls JEL Classiffication Numbers: L13; L2; L93

Deteção e seleção de talentos em andebol : diferentes perspetivas

In seeking to maximize athletic performance, optimizing the improvement of players, we find a line of study that focuses on the detection, selection and talent development. The talent is one of the fundamental constraints to access to excellence in competitive sport. Its identification is the first step to select individuals with the characteristics required to achieve the improvement sports through a complex process of expertise. The aim of this work is essentially to realize how it is made detection and selection of talent in Handball and understand how countries reference to the sport develop their work. In this sense, we choose in addition to Portugal, France, Spain and Denmark. We want to see how these four countries invest and develop detection and talent selection, taking into account the different characteristics of countries in many different contexts. So we can see that each country invests in talent selection and detection taking into account the financial capacity, the development and popularity of the sport. In all three countries, with the exception of Portugal, the Handball is a sport with great impact not only through their championships as well as the level of selections. All invest in detection and selection of talents initially by direct observation and collection of anthropometric data, and organize their structure depending on the size of your country. With the exception of France all other countries after detecting the taletos, fits us in selection schemes open. France chooses to create training centers where these young people will develop their skills. These centers are autonomous although the supervision and guidance of the technical staff of the federation. All countries except Portugal, opt to develop regional selections, thereby widening the recruitment base within a competitive framework extra club.

Os impactos dos investimentos estrangeiros diretos na evolução da balança comercial brasileira no período pós-real

The purpose of the present study is to discuss the eventual relationship between foreign direct investment in Brazil and trade balance, considering the period after the beginning of "Plano Real" on 1994, which presented a new currency regime and a new profile of Brazilian macroeconomy. It is important to state that there is a controversial debate around the question, since those investments are seen as positive to receiving countries by some authors and negative by other ones. Those who are favorable, argue that the recent attitude assumed by a lot of companies towards internalization is changing the modus operandi in some markets, providing a much more competitive framework. It is also remarkable - they also mention - the potential advantages brought by these new strategies. On the other hand, some authors defend that it increases the exposure of the country that receives such resources, since the subsidiaries of those companies operate under marketing strategies of profit maximization, considered the competitive environment they face. We will go over these opinions troughout the study, trying also to capture the reasons that usually motivate foreign companies to look for new markets and branches and also the effects on receiving country's Balance of Payments. Besides that point, the approach presented will try to answer if the increase of foreign capital stock in Brazil helps to explain some positive response from the country's trade balance, and more, on Balance of Payments. It is also important to mention that the considered period is extremely representative, mainly when considered the huge amounts involved and the increasing liberalization verified in brazilian's external policies since 1990. There is special concern, troughout the study, to define the pattern of such investments, and more, the impacts that those resources brought to public budget. The present study will focus on official data, published by Central Bank of Brazil, mainly those ones regarding Census of Foreign Capitals, as well as the referable to the evolution of Balance of Payments. Finally, based on statistical procedures, it will be provided multiple regressions on available data that will help the reader to capture the effects of some selected variables, which will bring a much more oriented analysis to the discussion.

Valorização da reserva operativa em um ambiente competitivo para geradores hidrelétricos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelo AC para el despacho combinado de contratos bilaterales y bolsa de energía considerando restricciones de seguridad

Reliability is a key aspect in power system design and planning. Maintaining a reliable power system is a very important issue for their design and operation. Under the new competitive framework of the electricity sector, power systems find ever more and more strained to operate near their limits. Under this new scenario, it is crucial for the system operator to use tools that facilitate an energy dispatch that minimizes possible power cuts. This paper presents a mathematical model to calculate an energy dispatch that considers security constraints (single contingencies in transmission lines and transformers). The model involves pool markets and fixed bilateral contracts. Traditional methodologies that include security constraints are usually based in multistage dispatch processes. In this case, we propose a single-stage model that avoids the economic inefficiencies which result when conventional multi-stage dispatch approaches are applied. The proposed model includes an AC representation of the transport system and allows calculating the cost overruns incurred in due to reliability restrictions. We found that complying with fixed bilateral contracts, when they go above certain levels, might lead to congestion problems in transmission lines.

Avaliação de Localizção e preço de contrato de geração distribuida em um ambiente competitivo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Institutional governance systems and variations in national competitive advantage: An integrative framework

Creating competitive industries has become one of the key tasks of governments. Different adaptation outcomes in industries across nations cannot be accounted for fully simply by an emphasis on firm-level capabilities, market-driven policies, or state-level policies. We propose an integrative framework that draws on both the strategic management and political economy literature to explain variations in national industrial competitiveness.. We discuss differences with respect to institutional characteristics and capabilities, competitive outcomes, conditions of best fit, and who bears the cost of industry adaptation.

Ensuring dynamic strategic fit of firms that compete globally in alliances and networks: proposing the Global SNA - Strategic Network Analysis - framework

In order to sustain their competitive advantage in the current increasingly globalized and turbulent context, more and more firms are competing globally in alliances and networks that oblige them to adopt new managerial paradigms and tools. However, their strategic analyses rarely take into account the strategic implications of these alliances and networks, considering their global relational characteristics, admittedly because of a lack of adequate tools to do so. This paper contributes to research that seeks to fill this gap by proposing the Global Strategic Network Analysis - SNA - framework. Its purpose is to help firms that compete globally in alliances and networks to carry out their strategic assessments and decision-making with a view to ensuring dynamic strategic fit from both a global and relational perspective.

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

Mestrado em Engenharia Electrotécnica – Sistemas Eléctricos de Energia

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.

Adaptive learning in agents behaviour: A framework for electricity markets simulation

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent electricity market simulator that models market players and simulates their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. This paper presents a methodology to provide decision support to electricity market negotiating players. This model allows integrating different strategic approaches for electricity market negotiations, and choosing the most appropriate one at each time, for each different negotiation context. This methodology is integrated in ALBidS (Adaptive Learning strategic Bidding System) – a multiagent system that provides decision support to MASCEM's negotiating agents so that they can properly achieve their goals. ALBidS uses artificial intelligence methodologies and data analysis algorithms to provide effective adaptive learning capabilities to such negotiating entities. The main contribution is provided by a methodology that combines several distinct strategies to build actions proposals, so that the best can be chosen at each time, depending on the context and simulation circumstances. The choosing process includes reinforcement learning algorithms, a mechanism for negotiating contexts analysis, a mechanism for the management of the efficiency/effectiveness balance of the system, and a mechanism for competitor players' profiles definition.

Realistic Multi-Agent Simulation of Competitive Electricity Markets

The dynamism and ongoing changes that the electricity markets sector is constantly suffering, enhanced by the huge increase in competitiveness, create the need of using simulation platforms to support operators, regulators, and the involved players in understanding and dealing with this complex environment. This paper presents an enhanced electricity market simulator, based on multi-agent technology, which provides an advanced simulation framework for the study of real electricity markets operation, and the interactions between the involved players. MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) uses real data for the creation of realistic simulation scenarios, which allow the study of the impacts and implications that electricity markets transformations bring to different countries. Also, the development of an upper-ontology to support the communication between participating agents, provides the means for the integration of this simulator with other frameworks, such as MAN-REM (Multi-Agent Negotiation and Risk Management in Electricity Markets). A case study using the enhanced simulation platform that results from the integration of several systems and different tools is presented, with a scenario based on real data, simulating the MIBEL electricity market environment, and comparing the simulation performance with the real electricity market results.

Industrie 4.0 Framework, Challenges and Perspectives

The world is increasingly in a global community. The rapid technological development of communication and information technologies allows the transmission of knowledge in real-time. In this context, it is imperative that the most developed countries are able to develop their own strategies to stimulate the industrial sector to keep up-to-date and being competitive in a dynamic and volatile global market so as to maintain its competitive capacities and by consequence, permits the maintenance of a pacific social state to meet the human and social needs of the nation. The path traced of competitiveness through technological differentiation in industrialization allows a wider and innovative field of research. Already we are facing a new phase of organization and industrial technology that begins to change the way we relate with the industry, society and the human interaction in the world of work in current standards. This Thesis, develop an analysis of Industrie 4.0 Framework, Challenges and Perspectives. Also, an analysis of German reality in facing to approach the future challenge in this theme, the competition expected to win in future global markets, points of domestic concerns felt in its industrial fabric household face this challenge and proposes recommendations for a more effective implementation of its own strategy. The methods of research consisted of a comprehensive review and strategically analysis of existing global literature on the topic, either directly or indirectly, in parallel with the analysis of questionnaires and data analysis performed by entities representing the industry at national and world global placement. The results found by this multilevel analysis, allowed concluding that this is a theme that is only in the beginning for construction the platform to engage the future Internet of Things in the industrial environment Industrie 4.0. This dissertation allows stimulate the need of achievements of more strategically and operational approach within the society itself as a whole to clarify the existing weaknesses in this area, so that the National Strategy can be implemented with effective approaches and planned actions for a direct training plan in a more efficiently path in education for the theme.