Faculty of Law, Charles University in Prague, Department of Commercial Law Dissertation topic: International Power Trading Law Author: Mgr. Klára Vaculíková March 2011 The purpose of the thesis was legal analysis of the power trading in the today's global world. This entails mainly the discipline of international private law. Power trading, in particular transactions on sale and purchase of electric power with an international element are subject to general rules of international private law. Nevertheless, the exceptional nature of electric power and of its disposition described in the thesis makes the area of power trading quite special sub-discipline of international private law. In the same time, very complex and significantly relevant part of the power trading, which the study cannot avoid to consider, is the regulatory framework, within which this specific sort of business is carried on. After introductory Chapter One, the thesis describes characteristic issues in the international power trading, in its Chapter Two. Chapter Three provides necessary basic conceptual classification of the given topic within the system of law. Although the main topic of this thesis is the core of the power trading business, meaning the private transactions related to electric power and their analysis, fair part...

A reestruturação do Setor Elétrico Brasileiro introduziu uma nova categoria de clientes no mercado consumidor. Os chamados Clientes Livres, ao contrário dos Clientes Cativos, podem formalizar a aquisição de energia elétrica para atendimento dos requisitos de seu processo produtivo, através de contratos bilaterais, onde os prazos, os preços e os volumes são livremente negociados entre os agentes. A segmentação imposta pelas reformas do setor promoveu a competição na atividade de comercialização, repercutindo em novas responsabilidades para os agentes setoriais, com oportunidades para a busca de resultados financeiros, mas, por outro lado, com riscos associados que requerem adequado gerenciamento. Conseqüentemente, o estabelecimento de contratos neste ambiente evidencia a importância da adoção de estratégias de hedge adequadas para mitigar os riscos de exposição financeira dos Clientes Livres ao Mercado de Curto Prazo. Sob essa perspectiva, o texto aborda a formação de preços contratuais no curto e longo prazos, propõe critérios de risco para aferir as estratégias mais promissoras, de acordo com o perfil do consumidor, de modo a otimizar a obtenção de energia no Ambiente de Contratação Livre, contemplando, também, o efeito da recente possibilidade da comercialização dos excedentes de energia elétrica, como forma de flexibilização contratual para esta categoria de consumidores. / The power sector reforms in Brazil introduced a new sort of consumers in the electricity market. The Free Consumers are able to choose their suppliers and freely negotiate contractual terms. The restructuring process of electricity industry promoted the competition into the retail sales subindustry. It gave new responsibilities to market participants and also potential opportunities to reduce its energy costs. On the other hands, the Free Customers are requested to manage their own risks. It is important therefore the establishment of contracting strategies to hedge against price risks. As consequence, the purpose of this study is to address a methodology to implement short and long-term contract pricing and evaluate the risks associated with its strategies. Moreover, the work identifies the contracting decisions to optimize electricity costs accordingly to customer´s needs. Finally, it is presented a study on contract flexibility where an opportunity could be given to such kind of consumers, making possible to resell part of their electricity contracts.

Made available in DSpace on 2016-04-26T20:48:54Z (GMT). No. of bitstreams: 1 Alessandro Gregori Filho.pdf: 2561827 bytes, checksum: 19645e83a9df935dcb0427c283c42bad (MD5) Previous issue date: 2009-05-06 / The objective of this work is to analyze returns of investments in energy cogeneration plants from bagasse inside sugar cane mills, considering the regulation scenario of the Brazilian electric sector and the implementation costs of this type of project. The results should be able to demonstrate that this kind of investment is very profitable, pointing out the most important variables regarding the return on invested capital analyses. In order to accomplish this dissertation will be used some official information from Aneel releases, interview with sugar cane mill owners and specific bibliography. Moreover, for the valuation analyses techniques of free cash flow (FCF) and CAPM will be used, to determine the minimum return acceptable by the shareholders for this kind of project. Among the contributions of this dissertation the sensibility analyses can be pointed out in order to determine the most important variables that could be used by the Government in order to develop public policies more effective to stimulate this kind of investments' / O objetivo deste trabalho é analisar a viabilidade dos investimentos para cogeração de energia em usinas de açúcar e álcool levando em consideração o arcabouço regulatório do mercado de energia elétrica brasileiro e os custos deste tipo de investimento. O resultado pretende demonstrar a viabilidade deste tipo de projeto destacando quais as variáveis mais importantes na determinação da rentabilidade do investimento. Para a elaboração deste trabalho serão utilizadas informações publicadas em relatórios oficiais da Aneel, entrevistas com usineiros, pesquisa junto a fornecedores e bibliografia específica. Para a análise de viabilidade econômico-financeira foram utilizadas as técnicas mais difundias de fluxo de caixa livre (FCL), enquanto, para a determinação do custo de capital do acionista foi utilizada a metodologia de CAPM. Dentre as contribuições deste trabalho, pode ser destacada a análise de sensibilidade de determinadas variáveis sobre a rentabilidade dos investimentos de forma a identificar aquelas mais importantes servindo de base para a adoção de políticas públicas focadas no incentivo deste tipo de empreendimento

Este trabalho tem como objetivo avaliar o balanço econômico de uma política de incentivos para as fontes de energia renovável, analisando em particular o caso das PCHs (Pequenas Centrais Hidrelétrica) inseridas no Proinfa, o Programa de Incentivo às Fontes Alternativas de Energia Elétrica. A análise é desenvolvida tomando por base a internalização de custos e benefícios para a sociedade do referido Programa. Dentre os benefícios, estão destacados o desenvolvimento de uma fonte alternativa de energia que diminui os impactos ambientais devidos às emissões de gases poluentes, tal como o CO2, NOx o SO2 e o material particulado. Dentre seus custos, o imposto a ser cobrado se faz necessário para que programas dessa natureza se realizem. Para tanto, a revisão da literatura se concentra em assuntos concernentes à avaliação de programas de incentivos, bem como sobre o desenho de políticas de subsídio e das formas que a economia encontra para lidar com externalidades. Em seguida, analisam-se as estruturas propostas de incentivos, verificando-se, à luz da teoria, se essas estruturas são apropriadas aos seus fins e procedendo-se a uma análise de custo/benefício destas. / This work has the objective to evaluate the economic balance of an incentive policy for renewable energy source (RES), in particular it analyses the SHP (Small Hydropower Plant) case into the Context of Proinfa, the Brazilian alternative electrical energy source incentive program. This analysis is developed considering the point of view of internalizing the costs and benefits for the society. Among the benefits could be highlighted the development of a RES that reduces environmental impacts caused by pollutant gas emissions, such as CO2, NOx, SOx and particulated material, among the costs is the tax necessary to support this kind of program. To achieve this objective, the literature revision was focused on subjects related to evaluation of an incentive program as well as on the design of subsidy policies and how the economy deals with externalities. Also it is analyzed the incentives framework proposed, verifying based on the economic theory, if this framework is suitable to its own aims, and at the end it is proceed a cost benefit analysis of this structure.

[pt] O objetivo da tese é propor uma metodologia para previsão do preço de curto prazo (spot) da energia elétrica no Brasil baseada em sistemas neuro-fuzzy e nos programas do planejamento da operação do sistema elétrico brasileiro. Com essa abordagem, obtém-se distribuições estimadas do preço spot para o curto prazo com menor dispersão do que as obtidas somente com os programas do planejamento da operação. Além disso, por ser rápido, o sistema de previsão final possibilita análises de cenários ou simulações Monte Carlo. As principais variáveis que afetam o preço spot no Brasil são consideradas, tais como a energia natural afluente e a energia armazenada, entre outras. Ainda, é possível incluir também variáveis que não têm um histórico definido ou dados suficientes para o treinamento, tais como o plano de obras, limites de intercâmbio, demanda etc. Comparações com modelos de redes neurais são feitas. Apresenta-se, também, o estado da arte em modelagem para a política e o mercado de energia elétrica e os principais conceitos de gerenciamento de risco no mercado de eletricidade. / [en] This thesis focuses on spot price forecasting and risk management in the Brazilian electricity industry. It is proposed a new methodology for the problem based on neuro- fuzzy systems and the dispatching and planning operation programs. The main advantage of the approach is to be able to get more informative spot price distributions than using the operation and planning programs alone. Furthermore, it allows Monte Carlo simulations or scenarios analysis as the forecasting system runs in less than 1 minute. The main variables which affect the spot price (inflow river, storage capacity of reservoir, among others) are included in the model. Even variables such as the interchange limits, without a well-defined time series and which could be important, could also be included because of the intrinsic characteristics of each fuzzy model. Comparisons with neural networks models are made. It is also presented the state-of-the-art in the market and politics modelling for the electricity market around the world, as well as some main concepts of the risk management.

A reestruturação do Setor Elétrico Brasileiro introduziu uma nova categoria de clientes no mercado consumidor. Os chamados Clientes Livres, ao contrário dos Clientes Cativos, podem formalizar a aquisição de energia elétrica para atendimento dos requisitos de seu processo produtivo, através de contratos bilaterais, onde os prazos, os preços e os volumes são livremente negociados entre os agentes. A segmentação imposta pelas reformas do setor promoveu a competição na atividade de comercialização, repercutindo em novas responsabilidades para os agentes setoriais, com oportunidades para a busca de resultados financeiros, mas, por outro lado, com riscos associados que requerem adequado gerenciamento. Conseqüentemente, o estabelecimento de contratos neste ambiente evidencia a importância da adoção de estratégias de hedge adequadas para mitigar os riscos de exposição financeira dos Clientes Livres ao Mercado de Curto Prazo. Sob essa perspectiva, o texto aborda a formação de preços contratuais no curto e longo prazos, propõe critérios de risco para aferir as estratégias mais promissoras, de acordo com o perfil do consumidor, de modo a otimizar a obtenção de energia no Ambiente de Contratação Livre, contemplando, também, o efeito da recente possibilidade da comercialização dos excedentes de energia elétrica, como forma de flexibilização contratual para esta categoria de consumidores. / The power sector reforms in Brazil introduced a new sort of consumers in the electricity market. The Free Consumers are able to choose their suppliers and freely negotiate contractual terms. The restructuring process of electricity industry promoted the competition into the retail sales subindustry. It gave new responsibilities to market participants and also potential opportunities to reduce its energy costs. On the other hands, the Free Customers are requested to manage their own risks. It is important therefore the establishment of contracting strategies to hedge against price risks. As consequence, the purpose of this study is to address a methodology to implement short and long-term contract pricing and evaluate the risks associated with its strategies. Moreover, the work identifies the contracting decisions to optimize electricity costs accordingly to customer´s needs. Finally, it is presented a study on contract flexibility where an opportunity could be given to such kind of consumers, making possible to resell part of their electricity contracts.

Made available in DSpace on 2017-07-10T17:11:45Z (GMT). No. of bitstreams: 1 dissertacao final - Larissa Machado.pdf: 2232680 bytes, checksum: c4734e0ca68a87c9dfd0e29dda715f6f (MD5) Previous issue date: 2013-09-06 / The introduction of distributed generation (DG) in distribution systems should cause a paradigm change on the expansion planning. Few authors have been concerned about evaluating the long term impact caused by these local power sources in the distribution networks. Therefore, this paper proposes the extension of an expansion planning model for distribution systems, to include the DG problem in different regulation scenarios. The model is used to analyze the DG insertion impact in the expansion planning, as well as the impact of the regulation and market parameters associated to it. It was verified through simulation and analysis that, under the conditions established during the study, the DG may bring planning benefits, reducing the overall network expansion cost. Nevertheless, the regulation scenario and the market conditions might have a great impact on the benefits due to the DG presence. / A introdução da geração distribuída (GD) nos sistemas de distribuição deve provocar uma mudança nos paradigmas do planejamento da expansão. Poucos autores se preocuparam em avaliar qual pode ser o impacto no longo prazo da presença dessas fontes locais de potência nas redes de distribuição. Dessa forma, este trabalho propõe a ampliação de um modelo do planejamento da expansão de sistemas de distribuição, para incluir o problema da GD em diferentes cenários regulatórios. O modelo é utilizado para analisar o impacto da inserção da GD no planejamento da expansão, bem como o impacto de parâmetros regulatórios e de mercado associados a ela. Verificou-se através de simulações e análise que, sob as condições estabelecidas durante o estudo, a GD pode trazer benefícios ao planejamento, reduzindo o custo total da expansão com a rede. Porém, o cenário regulatório e as condições de mercado podem ter um grande impacto nos benefícios percebidos devido à presença da GD.

Dans un contexte de croissance démographique dans lequel certaines ressources naturelles sont de plus en plus limitées, une gestion optimisée et conjointe des réseaux publics de l’eau et de l’électricité s’impose. L’ouverture progressive des marchés de l’électricité à la concurrence et les changements de réglementation dans plusieurs pays ont contribué au développement des mécanismes de la flexibilité de la demande, permettant d’impliquer directement les consommateurs dans la gestion de l’équilibre offre-demande du réseau électrique. Les systèmes d’eau potable, étant de grands consommateurs d’électricité, disposent d’une flexibilité grâce à la présence d’ouvrages de stockage d’eau (bâches et réservoirs) et de pompes à vitesse variable. Cette flexibilité, souvent exploitée uniquement à des fins de sécurisation des demandes en eau, peut être valorisée pour permettre une meilleure gestion de l’équilibre du réseau électrique. L’objectif de cette thèse est l’évaluation des valeurs économiques et écologiques relatives à l’intégration de la flexibilité des systèmes d’eau potable dans la gestion opérationnelle du système électrique français. Une étude de l’architecture des marchés de l’électricité en France est d’abord menée pour identifier les mécanismes de flexibilité de la demande les plus adaptés aux contraintes d’exploitation des systèmes d’eau. Des modèles mathématiques d’optimisation sont ensuite proposés et résolus à travers certaines heuristiques, en intégrant les incertitudes relatives aux consommations d’eau, aux prix des marchés ainsi qu’à la disponibilité des équipements de pompage. Les résultats numériques, discutés en se basant sur trois systèmes d’eau potable réels en France, intègrent les aspects économiques (en considérant les risques associés), opérationnels et écologiques. Des réductions importantes des coûts d’exploitation des systèmes d’eau sont estimées à travers la valorisation de l’énergie non consommée pendant les moments de pointe sur le marché spot de l’électricité. En parallèle, la considération des incertitudes permet de sécuriser l’opération des systèmes d’eau en temps réel, et de maîtriser les risques économiques relatifs à l’équilibrage du réseau électrique. De plus, des réductions importantes des émissions de CO2, estimées à environ 400 tonnes par jour en France, peuvent être réalisées en réduisant les volumes d’électricité issus des sources fossiles. / In a context of demographic growth in which natural resources are more and more limited, optimized management of water and power networks is required. Changes in electricity markets regulation in several countries have recently enabled effective integration of Demand Response mechanisms in power systems, making it possible to involve electricity consumers in the real-time balance of the power system. Through its flexible components (variable-speed pumps, tanks), drinking water systems, which are huge electricity consumers, are suitable candidates for energy-efficient Demand Response mechanisms. However, these systems are often managed independently of power system operation, for both economic and operational reasons. In this thesis, the objective is the evaluation of the economic and the ecological values related to the integration of drinking water systems flexibility into power system operation through french demand response mechanisms. An analysis of the architecture of french electricity markets is first conducted, allowing to target the most suitable demand response mechanisms considering water systems operating constraints. Some mathematical models to optimize water systems flexibility are then proposed and solved through original heuristics, integrating uncertainties about water demands, market prices and pumping stations availability. Numerical results, which are discussed using three real water systems in France, integrate the economic aspects inclunding risks, operational and ecological aspects. Significant reductions in water systems operating costs are estimated through the optimization of demand response power bids on the French spot power market during peak times. In parallel, uncertainties consideration secures the operation of water systems in real time, and makes it possible to manage economic risks related to the power grid balancing. In addition, significant savings in CO2 emissions, estimated to around 400 tons per day in France, can be achieved by reducing electricity production from fossil sources.

The growth of electricity markets around the world has introduced new challenges in which one of the challenges is the uncertainty that has become a structural element in this new environment. Market players have to deal with it to guarantee the appropriate power system planning and operation as well as its own economical liquidity. Under an open access environment in a deregulated power system, transmission management holds a vital role in supporting transactions between suppliers and customers. Nevertheless, a transmission network has some constraints that should be addressed in order to ensure sufficient control to maintain the security level of a power system while maximizing market efficiency. The most obvious drawback of transmission constraints is a congestion problem that becomes an obstacle of perfect competition among the market participants since it can influence spot market pricing. The system becomes congested when the supplier and customer agree to produce and consume a particular amount of electric power, but this can cause the transmission network to exceed its thermal limits. Congestion can cause the market players to exercise market power that can result in price volatility beyond the marginal costs. Thus, it is important to manage congestion efficiently in the design of a power market. One mechanism that has direct correlation with transmission management is market clearing price (MCP). Under an open access environment, energy prices throughout the network will be different and measured based on transmission constraint and network losses. When network losses are ignored and there is no congestion on the transmission lines, the power price will be the same at all nodes. This is known as uniform marginal pricing (UMP). However, as the power flow violates transmission constraints, redispatching generating units is required and this will cause the price at every node to vary. This phenomenon is defined as locational marginal pricing (LMP). Therefore, the market clearing price has a strong relationship with transmission management, which is needed to be assessed in order to obtain an efficient and transparent price but satisfying all market participants. This project investigates an alternative solution to the dispatch mechanism, and then formulates a new Locational Marginal Price scheme using optimization technique that may well control congestion as the main issue. The model will vary and be improved, to be distilled into energy price, congestion revenue, cost of losses, as well as transmission usage tariff. The objective of the project is to support developing standard market design (SMD) in managing transmission systems which promotes economic efficiency, lowers delivered energy costs, maintains power system reliability and mitigates exercising market power.

With the aim for higher economical efficiency, considerable and radical changes have occurred in the worldwide electricity sector since the beginning of 1980s. By that time, the electricity sector has been controlled by the state-owned vertically integrated monopolies which manage and control all generation, transmission, distribution and retail activities and the consumers buy electricity with a price set by these monopolies in that system. After the liberalization and restructuring of the electricity power sector, separation and privatization of these activities have been widely seen. The main purpose is to ensure competition in the market where suppliers and consumers compete with each other to sell or buy electricity from the market and the consumers buy the electricity with a price which is based on competition and determined according to sell and purchase bids given by producers and customers rather than a price set by the government. Due to increasing competition in the electricity market, accurate electricity price forecasts have become a very vital need for all market participants. Accurate forecast of electricity price can help suppliers to derive their bidding strategy and optimally design their bilateral agreements in order to maximize their profits and hedge against risks. Consumers need accurate price forecasts for deriving their electricity usage and bidding strategy for minimizing their utilization costs. This thesis presents the determination of system day ahead price (SGOF) at the day ahead market and system marginal price (SMF) at the balancing power market in detail and develops artificial neural network models together with multiple linear regression models to forecast these electricity prices in Turkish electricity market. Also the methods used for price forecasting in the literature are discussed and the comparisons between these methods are presented. A series of historical data from Turkish electricity market is used to understand the characteristics of the market and the necessary input factors which influence the electricity price is determined for creating ANN models for price forecasting in this market. Since the factors influencing SGOF and SMF are different, different ANN models are developed for forecasting these prices. For SGOF forecasting, historical price and load values are enough for accurate forecasting, however, for SMF forecasting the net instruction volume occurred due to real time system imbalances is needed in order to increase the forecasting accuracy.