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abstract: This research develops decision support mechanisms for power system operation and planning practices. Contemporary industry practices rely on deterministic approaches to approximate system conditions and handle growing uncertainties from renewable resources. The primary purpose of this research is to identify soft spots of the contemporary industry practices and propose innovative algorithms, methodologies, and tools to improve economics and reliability in power systems. First, this dissertation focuses on transmission thermal constraint relaxation practices. Most system operators employ constraint relaxation practices, which allow certain constraints to be relaxed for penalty prices, in their market models. A proper selection of penalty prices is imperative due to the influence that penalty prices have on generation scheduling and market settlements. However, penalty prices are primarily decided today based on stakeholder negotiations or system operator’s judgments. There is little to no methodology or engineered approach around the determination of these penalty prices. This work proposes new methods that determine the penalty prices for thermal constraint relaxations based on the impact overloading can have on the residual life of the line. This study evaluates the effectiveness of the proposed methods in the short-term operational planning and long-term transmission expansion planning studies. The second part of this dissertation investigates an advanced methodology to handle uncertainties associated with high penetration of renewable resources, which poses new challenges to power system reliability and calls attention to include stochastic modeling within resource scheduling applications. However, the inclusion of stochastic modeling within mathematical programs has been a challenge due to computational complexities. Moreover, market design issues due to the stochastic market environment make it more challenging. Given the importance of reliable and affordable electric power, such a challenge to advance existing deterministic resource scheduling applications is critical. This ongoing and joint research attempts to overcome these hurdles by developing a stochastic look-ahead commitment tool, which is a stand-alone advisory tool. This dissertation contributes to the derivation of a mathematical formulation for the extensive form two-stage stochastic programming model, the utilization of Progressive Hedging decomposition algorithm, and the initial implementation of the Progressive Hedging subproblem along with various heuristic strategies to enhance the computational performance. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2017

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This study presents a multi-attribute decision making (MADM) framework in support of strategic resource planning of electric utilities. Study efforts have focused on four technical issues identified to be essentially important to the process of strategic resource development, i.e., decision data expansion, MADM analysis with imprecise information, MADM analysis under uncertainty and screening applications. Main contributions from this study are summarized as follows. First, an automatic learning method is introduced for decision data expansion aiming at reducing the amount of computations involved in the creation of decision database. Test results have shown that the proposed method is feasible, easy to implement, and more accurate than the techniques available in the existing literature. Second, an interval-based MADM methodology is developed, which extends the traditional utility function model with the measure of composite utility variance, accounting for individual errors from inaccurate attribute measurements and inconsistent priority judgments. This enhanced decision approach would help the decision-maker (DM) gain insight into how the imprecise data may affect the choice toward the best solution and how a range of acceptable alternatives may be identified with certain confidence. Third, an integrated MADM framework is developed for multi-attribute planning under uncertainty which combines attractive features of utility function, tradeoff/risk analysis and analytical hierarchy process and thus provides a structured decision analysis platform accommodating both probabilistic evaluation approach and risk evaluation approach. Fourth, the application of screening models is investigated in the context of integrated resource planning of electric utilities as to identify cost effective demand-side options and robust generation expansion planning schemes. / Ph. D.

<p><p>In the operation, planning and design of the transmission system it is of greatest concern to quantify the reliability security margin to unwanted conditions. The deterministic N-1 criterion has traditionally provided this security margin to reduce the consequences of severe conditions such as widespread blackouts. However, a deterministic criterion does not include the likelihood of different outage events. Moreover, experience from blackouts shows, e.g. in Sweden-Denmark September 2003, that the outages were not captured by the N-1 criterion. The question addressed in this thesis is how this system security margin can be quantified with probabilistic methods. A quantitative measure provides one valuable input to the decision-making process of selecting e.g. system expansions alternatives and maintenance actions in the planning and design phases. It is also beneficial for the operators in the control room to assess the associated security margin of existing and future network conditions.</p><p>This thesis presents a method that assesses each component's risk to an insufficient transfer capability in the transmission system. This shows on each component's importance to the system security margin. It provides a systematic analysis and ranking of outage events' risk of overloading critical transfer sections (CTS) in the system. The severity of each critical event is quantified in a risk index based on the likelihood of the event and the consequence of the section's transmission capacity. This enables a comparison of the risk of a frequent outage event with small CTS consequences, with a rare event with large consequences.</p><p>The developed approach has been applied for the generally known Roy Billinton Test System (RBTS). The result shows that the ranking of the components is highly dependent on the substation modelling and the studied system load level.</p><p>With the restriction of only evaluating the risks to the transfer capability in a few CTSs, the method provides a quantitative ranking of the potential risks to the system security margin at different load levels. Consequently, the developed reliability based approach provides information which could improve the deterministic criterion for transmission system planning.</p></p>

Este trabalho analisou os leilões de comercialização de energia elétrica no ambiente de contratação regulada no Brasil, realizados entre 2005 e 2011, com o objetivo de propor aperfeiçoamentos em sua metodologia. Para tanto, foram estudadas três linhas de pesquisa: teoria de leilões, internalização (adicionais) de custos não privados (externalidades) e organização de mercados de capacidade. Após a análise dos 21 leilões de novos empreendimentos realizados no período, conclui-se que o desenho do leilão com fase discriminatória final é adequado aos objetivos de modicidade tarifária, mas que também permite melhoras. As fraquezas da sistemática atual identificadas foram: metodologia de contratação termelétrica por disponibilidade, com viés das fontes de maior custo variável unitário, adoção de preço-teto nem sempre adequado, dificuldade em mitigar o exercício de poder de mercado da Eletrobras nos leilões de energia existente e licitação pelo custo econômico privado. De forma a aprimorar os leilões, as seguintes ações foram sugeridas: realização de uma etapa adicional e prévia ao desenho de leilão híbrido atual visando contornar a problemática de estabelecimento de preço-teto adequado; utilização de adicionais ao lance do leilão para internalizar os custos de transmissão não recolhidos pelo gerador; substituição do mecanismo de contratação termelétrica pelo modelo Colombiano de opções; condução de leilões de energia nova e existente em conjunto, e segmentação de produtos no leilão pela ótica da demanda com possibilidade de lances em pacotes. Com a adoção destas propostas entende-se que o valor negociado nos leilões de comercialização de energia elétrica refletirão melhor o custo social dos projetos, aumentando a eficiência dos certames. / This study analyzes the regulated electricity procurement auctions conducted between 2005 and 2011 in Brazil, in order to propose improvements in its methodology. Thus, it was reviewed three research areas: auctions design, internalization of externalities, and capacity markets. After analyzing the 21 new energy auctions that period, it is concluded the auction design with a second discriminatory bid is appropriate to the aims at achieving as low as possible prices, however there is room for improvement. Identified weaknesses are: (1) thermal availability capacity hiring method biased in favor of energy sources with higher variable costs; (2) inadequate price cap, unable to mitigate Eletrobras market power in existing power auctions, (3) and bidding by private economic cost. So, it is suggested the following actions to improve the efficiency of energy auctions: (a) carrying out an additional step prior to the current hybrid auction design in order to solve the problem of establishing appropriate ceiling price; (b) use of additional to internalize transmission costs not paid by generator; (c) replacement of the bid mechanism used for thermal power plants to Colombian options model; (d) driving new and existing energy auctions together, and (e) segment auctions products by the demand side with the possibility of bidding in packages. In adopting these proposals it is expected the value traded in the electricity procurement auction conducted in Brazil will better reflect the social cost of projects and so improving its efficiency.

A receita operacional de uma empresa de geração predominantemente hidrelétrica é composta de duas parcelas: a comercialização de seus contratos de energia e a liquidação na Câmara de Comercialização de Energia (CCEE). A parcela de receita de contratos é previsível, mas a receita proveniente da liquidação da CCEE é de difícil mensuração porque depende das alocações do Mecanismo de Realocação de Energia (MRE) e do Preço de Liquidação das Diferenças (PLD). O trabalho apresenta os conceitos gerais dos componentes que influenciam a receita do mercado de curto prazo e um modelo para sazonalização da energia assegurada que é um dos fatores determinantes para a alocação de MRE e para a liquidação das diferenças. O modelo foi detalhado e implementado em uma ferramenta computacional utilizando Algorítmos Genéticos para a minimização da perda esperada e do risco com a sazonalização. / The operating revenue of power generation companies has two different components: revenues arising from power purchase agreements and from spot market, managed by the Câmara de Comercialização de Energia - CCEE The income of contracts is predictable, but there are a lot of difficulties to do prognosis with the spot market revenue component, because it depends on both the Energy Reallocation Mechanism (MRE) and the spot price (PLD). This text presents the influences of some components in spot market incomes and a model to alocate the assured energy along the year since this is the main factor influencing the MRE and the spot market revenues. The model was formulated and implemented in a computational tool using Genetic Algorithms (AG) to minimize the expected losses and the sazonal risk.

Este trabalho tem por meta focalizar a adaptação necessária na metodologia de planejamento atual, norteada segundo uma ótica determinística e conservadora, afim de permitir a elaboração de Programas de Obras de Transmissão/Subtransmissão, condicionados por limitações de teto no montante de investimento a curto e médio prazos. Para tanto, como tema central, busca-se desenvolver uma base conceitual e metodológica, para permitir uma exploração maximizada das possibilidades de carregamento de equipamentos e instalações do sistema de transmissão, contemplando a especificação das ferramentas computacionais necessárias para dar consequência prática à proposta. Considerando o potencial de análise proporcionado por métodos e técnicas de natureza probabilística, aplicados ao planejamento de Sistemas Elétricos, a espinha dorsal da evolução metodológica delineada no texto repousa sobre a avaliação de confiabilidade global e quantificação de riscos operativos. O texto foi estruturado em 8 capítulos onde, a partir de um capítulo introdutório, enfoca-se sequencialmente os temas: * Conceitos e Metodologias para Maximização do Carregamento de Transformadores de Potência. * Conceitos e Metodologias para Maximização do Carregamento de Linhas aéreas de Transmissão. * Impacto das Restrições Financeiras no planejamento e possibilidade de atuação a nível técnico para administrar o conflito entre qualidade de serviço e recursos limitados. * Conceitos e Metodologias para relaxação dos Critérios limitantes para o carregamento máximo de componentes do sistema, em ambiente de severas restrições financeiras, no horizonte de curto prazo. * Resultados obtidos em aplicações concretas a situações do Setor Elétrico, visando caracterizar o alcance do ferramental preconizado nos capítulos anteriores. * Critérios e Procedimentos para Padronização de Subestações e Linhas de Transmissão , coerentes com os conceitos de maximização de carregamento introduzidos nos dois primeiros capítulos. Ao final do texto, incluiu-se um capítulo de \"Conclusões\", com o objetivo de sumarizar os aspectos mais relevantes abordados no texto, assim como indicar linhas de ação e novos desenvolvimentos, necessários para permitir a efetivação prática da metodologia proposta. / An important problem posed to power system planners in developing countries is now becoming commonplace, even in developed countries, and concerns on how to fit an expansion plan into a tight budget, with the least reduction in reliability levels. This problem is known as power system planning under financial constraints and a series of methods is now available to deal with it. So, this work addresses the necessary adjustments in order to permit the Transmission / Sub-transmission Expansion Program establishment when there are investments constraints in a medium/short term range. The main emphasis is on the development of a methodological and conceptual framework, aiming at a maximizes exploration of the loading capability of transformers and transmission lines of the power network. In this context, a new methodological framework for transmission system planning in a financial constrained environment is presented. The proposed approach combines transmission projects priority evaluation and ranking as well as criteria flexibilization, being particularly suitable for short-term planning. The problem to be faced is to operate the system after a project postponement, while the service quality is kept so adequate as it is possible. One of the main issues to be focused is the transmission system uprating since a maximized equipment utilization can contribute to avoid a more significant restriction to the costumers. Therefore, a detailed description of the models for transmission lines and transformers loading limits assessment is presented, with emphasis on the main concepts and the application of probabilistic tools to circumvent the inherent conservatism of deterministic methods. A summary of the contents is presented in what follows: * Concepts and Methodology for Transformers loading maximization. * Concepts and Methodology for Transmission Lines loading maximization. * Financial Restrictions impacts on Expansion Planning Process and the possibilities to manager the conflict between service quality and investment constraints. * Concepts and Methodologies to the relaxation of Criteria that limits the loading capability of transmission lines, aiming at short term Planning under severe financial restrictions, * Obtained results in concrete applications of the proposed methodology and computational tools to Brazilian Electric Power System. * Methods and Criteria to standardization of Substations and Transmission Lines, according the main issues formerly introduced. * Conclusion and Future Research.

This thesis presents the development of a time series model and associated algorithms capable of generating synthetic time-series datasets representing the hourly-averaged wind-speed field across the Country – as represented by a set of 20 points. This field is of interest as the energy resource available to wind generators connected to the Great Britain (GB) electricity networks. A wind power output dataset was also generated for an example distribution of wind generation capacities. The datasets generated are suitable for use in sequential Monte Carlo simulations of the GB electricity system – either the present system or future scenarios, potentially with full consideration of network constraints. Accurate representation of the spatio-temporal behaviours of renewable resources are an essential aspect of such simulations, along with their relationship to demand, with rarely occurring extreme events of particular interest. Therefore, variability in the resource occurring on all timescales – from turbulence to climatic shifts between decades must be represented. The synthetic data are time-stamped with time of the day and day of the year, so care was taken to ensure that all relevant deterministic and stochastic patterns are accurately reproduced. A major component of the research project was identification of the optimum level of complexity for various aspects of the model structure, and the associated computational expense of generating the series, particularly given the high dimensionality of the problem. The final choice of wind speed model was 2-factor-VGARMA-APARCH, along with several deterministic transformations.

A receita operacional de uma empresa de geração predominantemente hidrelétrica é composta de duas parcelas: a comercialização de seus contratos de energia e a liquidação na Câmara de Comercialização de Energia (CCEE). A parcela de receita de contratos é previsível, mas a receita proveniente da liquidação da CCEE é de difícil mensuração porque depende das alocações do Mecanismo de Realocação de Energia (MRE) e do Preço de Liquidação das Diferenças (PLD). O trabalho apresenta os conceitos gerais dos componentes que influenciam a receita do mercado de curto prazo e um modelo para sazonalização da energia assegurada que é um dos fatores determinantes para a alocação de MRE e para a liquidação das diferenças. O modelo foi detalhado e implementado em uma ferramenta computacional utilizando Algorítmos Genéticos para a minimização da perda esperada e do risco com a sazonalização. / The operating revenue of power generation companies has two different components: revenues arising from power purchase agreements and from spot market, managed by the Câmara de Comercialização de Energia - CCEE The income of contracts is predictable, but there are a lot of difficulties to do prognosis with the spot market revenue component, because it depends on both the Energy Reallocation Mechanism (MRE) and the spot price (PLD). This text presents the influences of some components in spot market incomes and a model to alocate the assured energy along the year since this is the main factor influencing the MRE and the spot market revenues. The model was formulated and implemented in a computational tool using Genetic Algorithms (AG) to minimize the expected losses and the sazonal risk.