abstract: The standard optimal power flow (OPF) problem is an economic dispatch (ED) problem combined with transmission constraints, which are based on a static topology. However, topology control (TC) has been proposed in the past as a corrective mechanism to relieve overloads and voltage violations. Even though the benefits of TC are presented by several research works in the past, the computational complexity associated with TC has been a major deterrent to its implementation. The proposed work develops heuristics for TC and investigates its potential to improve the computational time for TC for various applications. The objective is to develop computationally light methods to harness the flexibility of the grid to derive maximum benefits to the system in terms of reliability. One of the goals of this research is to develop a tool that will be capable of providing TC actions in a minimal time-frame, which can be readily adopted by the industry for real-time corrective applications. A DC based heuristic, i.e., a greedy algorithm, is developed and applied to improve the computational time for the TC problem while still maintaining the ability to find quality solutions. In the greedy algorithm, an expression is derived, which indicates the impact on the objective for a marginal change in the state of a transmission line. This expression is used to generate a priority list with potential candidate lines for switching, which may provide huge improvements to the system. The advantage of this method is that it is a fast heuristic as compared to using mixed integer programming (MIP) approach. Alternatively, AC based heuristics are developed for TC problem and tested on actual data from PJM, ERCOT and TVA. AC based N-1 contingency analysis is performed to identify the contingencies that cause network violations. Simple proximity based heuristics are developed and the fast decoupled power flow is solved iteratively to identify the top five TC actions, which provide reduction in violations. Time domain simulations are performed to ensure that the TC actions do not cause system instability. Simulation results show significant reductions in violations in the system by the application of the TC heuristics. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2016

Este trabalho tem o objetivo de relatar e analisar a história dos projetos hidrelétricos conhecidos por \"botox\" (expressão cunhada aos projetos mais velhos com roupagem de novos), desde sua origem, ainda na primeira reforma do setor elétrico brasileiro em 1998, até seu desfecho, no leilão de energia nova de 2007, já no âmbito da segunda reforma do setor elétrico iniciada em 2004. Para sua total compreensão, é feita a historiografia do setor elétrico desde o Código de Águas, vis-à-vis da política econômica mundial e de seus reflexos na economia nacional. A dissertação prossegue com a descrição das alterações regulatórias, principalmente no que se refere ao critério de licitação de concessões de aproveitamentos hidrelétricos, caracterizando e identificando como se formou essa categoria de empreendimentos \"botox\". Após a conceituação teórica de leilões, são analisadas as participações desse tipo de projeto nos cinco leilões de energia nova, ocorridos entre 2005 e 2007. Além de uma abordagem sob o ponto de vista do produtor independente de energia elétrica, também é feita análise de que forma a alteração da regulamentação para outorga de concessões de geração e para comercialização de energia modificou a perspectiva de evolução do valor da energia elétrica para os autoprodutores. Por fim, é feita breve discussão sobre o processo de licenciamento ambiental desses projetos, com ênfase em seus aspectos regulatórios. / This thesis aims to discuss and analyze the history of a particularly hydroelectric power plants group, nicknamed as \"botox\". This expression comes from the fact that those projects were old ones, which have been previously conceived, that were treated as brand new by the Brazilian regulatory framework. Its history has began from the Brazilian electricity industry reform in the 1990s. This history reaches its final step in the 2007 auction, already under the revised power sector model launched in 2004, which marked the last opportunity of the so-called \"botox\" projects to participate closing deals to sell long term energy in a specially designed auction. To perform this analysis, it is firstly reported the context were the \"botox\" were conceived in the recent history of Brazilin Electricity Sector, and how power plants group was impacted by the shifts of international economic trends. The next section discusses the last two power sector reforms, particularly addressing the shifts hydro-plants investors faced on having access to concession auctions for new projects. After providing the background of the auction mechanism theory, it is examined the newly designed electricity auction adopted in Brazil as well as the results of the auctions that took place between 2004 up to 2007. Finally, it is discussed implications of the rules regarding the latest industry reform and regulatory issues towards environmental licenses, focusing on their impacts on the willingness to invest of self-generators owners of \"botox\" projects.

Orientador: Walmir de Freitas Filho / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-16T21:04:55Z (GMT). No. of bitstreams: 1 Ricciardi_TiagoRodarte_M.pdf: 3291776 bytes, checksum: c647c3c5eaa394835294087b10e89863 (MD5) Previous issue date: 2010 / Resumo: O uso de geradores conectados via inversores em redes de distribuição de energia elétrica tem aumentado consideravelmente nos últimos anos em razão dos avanços obtidos nas tecnologias de células a combustível e fotovoltaicas bem como de microturbinas e turbinas eólicas. Nesse contexto, a utilização de sistemas de proteção antiilhamento no ponto de conexão do gerador com a rede elétrica é uma das exigências previstas nos principais guias técnicos empregados pelas concessionárias. Ilhamento ocorre quando uma parte da rede de distribuição torna-se eletricamente isolada da fonte de energia principal (subestação), mas continua a ser energizada por geradores distribuídos conectados no subsistema isolado. No caso particular dos geradores conectados via inversores, os principais dispositivos utilizados comercialmente para fornecer proteção antiilhamento são baseados no conceito de realimentação positiva, cuja idéia básica é empregar um dos parâmetros que definem a tensão terminal do gerador como sinal de realimentação positiva no seu sistema controle. Caso o gerador esteja conectado ao sistema de distribuição, a realimentação positiva não consegue, a priori, desestabilizar o gerador. Por outro lado, caso o gerador torne-se ilhado, a realimentação positiva fará com que o gerador se torne instável e, por conseguinte, a situação de ilhamento pode ser rapidamente detectada por relés de sub/sobre tensão e/ou sub/sob freqüência. Visto que tal esquema de proteção esforça-se para desestabilizar o gerador independentemente da ocorrência ou não de ilhamentos, é fundamental desenvolver ferramentas para analisar a estabilidade de redes com múltiplos geradores equipados com proteção antiilhamento via realimentação positiva. O objetivo desta dissertação de mestrado foi desenvolver uma série de modelos linearizados no espaço de estados para representar os principais dispositivos de proteção antiilhamento existentes comercialmente a fim de investigar a estabilidade frente a pequenas perturbações de sistemas de distribuição de energia elétrica com múltiplos geradores conectados via inversores utilizando-se análise modal / Abstract: The usage of inverter-based generators connected directly to electric Power distribution systems has considerably increased in recent years due to the technological advances of fuel and photovoltaic cells as well as microturbines and wind turbines. In this context, the usage of anti-islanding protection devices at the interconnection point is required by the main technical guides utilized by the utilities. Islanding occurs when a portion of the distribution system becomes electrically isolated from the remainder of the power system, yet continues to be energized by distributed generators. In the case of inverter-based generators, the main devices commercially employed to supply anti-islanding protection are based on the positive feedback concept. These methods use the deviations of voltage frequency and/or magnitude from normal values as positive feedback signals into the control system to influence the operation of inverterbased distributed generators. If the generator is connected to a strong utility system, in priori, the destabilizing force of the positive feedback has a negligible impact and the generator can operate without difficulties. On the other hand, when the generator is islanded, the positive feedback can destabilize the generator easily. Such distinctively different generator behaviors facilitate the detection of islanding conditions by using under/over voltage and frequency relays. Since the positive feedback scheme is a destabilizing force, the impact of this scheme on the stability of system with multiples inverter-based generators is of concern. If the positive feedback gain is too high, the generator may become unstable even if it is connected to the main supply system. Thus, the objective of this master thesis is to develop several small-signal models to investigate the stability of distribution network with multiple inverter-based generators with positive feedback anti-islanding protection by using modal analysis / Mestrado / Energia Eletrica / Mestre em Engenharia Elétrica

Creative ways of utilising renewable energy sources in electricity generation especially in remote areas and particularly in countries depending on imported energy, while increasing energy security and reducing cost of such isolated off-grid systems, is becoming an urgently needed necessity for the effective strategic planning of Energy Systems. The aim of this research project was to design and implement a new decision support framework for the optimal design of hybrid micro grids considering different types of different technologies, where the design objective is to minimize the total cost of the hybrid micro grid while at the same time satisfying the required electric demand. Results of a comprehensive literature review, of existing analytical, decision support tools and literature on HPS, has identified the gaps and the necessary conceptual parts of an analytical decision support framework. As a result this research proposes and reports an Iterative Analytical Design Framework (IADF) and its implementation for the optimal design of an Off-grid renewable energy based hybrid smart micro-grid (OGREH-SμG) with intra and inter-grid (μG2μG & μG2G) synchronization capabilities and a novel storage technique. The modelling design and simulations were based on simulations conducted using HOMER Energy and MatLab/SIMULINK, Energy Planning and Design software platforms. The design, experimental proof of concept, verification and simulation of a new storage concept incorporating Hydrogen Peroxide (H2O2) fuel cell is also reported. The implementation of the smart components consisting Raspberry Pi that is devised and programmed for the semi-smart energy management framework (a novel control strategy, including synchronization capabilities) of the OGREH-SμG are also detailed and reported. The hybrid μG was designed and implemented as a case study for the Bayir/Jordan area. This research has provided an alternative decision support tool to solve Renewable Energy Integration for the optimal number, type and size of components to configure the hybrid μG. In addition this research has formulated and reported a linear cost function to mathematically verify computer based simulations and fine tune the solutions in the iterative framework and concluded that such solutions converge to a correct optimal approximation when considering the properties of the problem. As a result of this investigation it has been demonstrated that, the implemented and reported OGREH-SμG design incorporates wind and sun powered generation complemented with batteries, two fuel cell units and a diesel generator is a unique approach to Utilizing indigenous renewable energy with a capability of being able to synchronize with other μ-grids is the most effective and optimal way of electrifying developing countries with fewer resources in a sustainable way, with minimum impact on the environment while also achieving reductions in GHG. The dissertation concludes with suggested extensions to this work in the future.

Power systems have been historically designed at a time when the production was<p>centralized and the electricity had to be transmitted to the loads from the closest power<p>plant. Nowadays, there is an increasing integration of decentralized and intermittent pro-<p>duction. Moreover, the energy market coupling has enabled the transfer of electric power<p>for economical purposes. Also, former isolated power systems are now interconnected for<p>reliability and financial reasons.<p>All of these changes make difficult to predict the future behavior of the grid. Studies<p>are done in order to plan for the future needs of the system. However, building new in-<p>frastructures takes time and it is expected that these needs will not be completely fulfilled<p>in all the parts of the grid. Therefore, transmission of active power could be limited by<p>the existing infrastructure. For example, the presence of inter-area oscillations is often<p>the limiting factor when a high active power is transmitted on a long transmission line<p>between two groups of generators. Since higher levels of active power are exchanged on<p>longer distances, problems of inter-area oscillations may arise in power systems previously<p>not affected by this phenomenon.<p>In this work, a measurement-based approach, able to predict in the short-term the<p>future behavior of oscillations, is presented. This approach is complementary to the<p>long-term planning of the grid.<p>The mandatory first step towards a measurement-based approach is to have the ability<p>to extract useful information among a huge quantity of data. To face this issue, some<p>comparisons of data mining algorithms are performed. The proposed method combines<p>two decision tree algorithms to obtain both prediction accuracy and comprehensibility.<p>The second required step for building a measurement-based model is to take into<p>account the limitations of the measurements. Two types of wide area measurements are<p>used, synchronized measurements from PMUs and traditional unsynchronized data from<p>the SCADA/EMS system. Oscillation monitoring using PMUs is especially of interest<p>and an approach is presented to post-process damping estimates. This post-processing<p>method consists in a noise reduction technique followed by a damping change detection<p>algorithm.<p>Finally, the method, combining these two steps, is implemented to analyze the Con-<p>tinental European grid. This implementation takes place in the context of the European<p>project Twenties. The results, using several months of measurements, are described in<p>detail before being discussed. / Doctorat en Sciences de l'ingénieur / info:eu-repo/semantics/nonPublished

In our society, private and industrial activities increasingly rest on the implicit assumption that electricity is available at any time and at an affordable price. Even if operational data and feedback from the electrical sector is very positive, a residual risk of blackout or undesired load shedding in critical zones remains. The occurrence of such a situation is likely to entail major direct and indirect economical consequences, as observed in recent blackouts. Assessing this residual risk and identifying scenarios likely to lead to these feared situations is crucial to control and optimally reduce this risk of blackout or major system disturbance. The objective of this PhD thesis is to develop a methodology able to reveal scenarios leading to a blackout or a major system disturbance and to estimate their frequencies and their consequences with a satisfactory accuracy.<p><p>A blackout is a collapse of the electrical grid on a large area, leading to a power cutoff, and is due to a cascading failure. Such a cascade is composed of two phases: a slow cascade, starting with the occurrence of an initiating event and displaying characteristic times between successive events from minutes to hours, and a fast cascade, displaying characteristic times between successive events from milliseconds to tens of seconds. In cascading failures, there is a strong coupling between events: the loss of an element increases the stress on other elements and, hence, the probability to have another failure. It appears that probabilistic methods proposed previously do not consider correctly these dependencies between failures, mainly because the two very different phases are analyzed with the same model. Thus, there is a need to develop a conceptually satisfying probabilistic approach, able to take into account all kinds of dependencies, by using different models for the slow and the fast cascades. This is the aim of this PhD thesis.<p><p>This work first focuses on the level-I which is the analysis of the slow cascade progression up to the transition to the fast cascade. We propose to adapt dynamic reliability, an integrated approach of Probabilistic Risk Analysis (PRA) developed initially for the nuclear sector, to the case of transmission power systems. This methodology will account for the double interaction between power system dynamics and state transitions of the grid elements. This PhD thesis also introduces the development of the level-II to analyze the fast cascade, up to the transition towards an operational state with load shedding or a blackout. The proposed method is applied to two test systems. Results show that thermal effects can play an important role in cascading failures, during the first phase. They also show that the level-II analysis after the level-I is necessary to have an estimation of the loss of supplied power that a scenario can lead to: two types of level-I scenarios with a similar frequency can induce very different risks (in terms of loss of supplied power) and blackout frequencies. The level-III, i.e. the restoration process analysis, is however needed to have an estimation of the risk in terms of loss of supplied energy. This PhD thesis also presents several perspectives to improve the approach in order to scale up applications to real grids.<p> / Doctorat en Sciences de l'ingénieur / info:eu-repo/semantics/nonPublished

Small signal oscillation has been always a major concern in the operation of power systems. In a generator, the electromechanical coupling between the rotor and the rest of the system causes it to behave in a manner similar to a spring mass damper system, which exhibits an oscillatory behaviour around the equilibrium state, following any disturbance, such as sudden change in loads, fluctuations in the output of turbine and faults etc. The use of fast acting high gain AVRs and evolution of large interconnected power systems with transfer of bulk power across weak transmission links have further aggravated the problem of these low frequency oscillations. Small oscillations in the range of about 0.1Hz to 3.5Hz can persist for long periods, limiting the power transfer capability of the transmission lines. Power System Stabilizers (PSS’s) were developed as auxiliary controllers on the generators excitation system to produce additional damping by modulating the generator excitation voltage. Designing effective PSS for all operating conditions specially in large interconnected power systems still remains a difficult and challenging task. The conventionally designed Power System Stabilizer (CPSS) is the most cost-effective electromechanical damping controller till date. However, continual changes in the operating condition and network parameters in large systems result in corresponding large changes in system dynamics. This constantly changing nature of power system makes the design of CPSS a difficult task. The design and tuning of PSS for robust operation is a laborious process. The existing PSS design techniques require considerable expertise, the complete system information and extensive eigenvalue calculations which increases the computational burden as the system size increases. This thesis proposes a method for designing robust power system damping controllers that ensures a minimum robustness under model uncertainties. The minimum performance required for the PSS is set a priori and accomplished over a range of operating conditions. A generalized robust controller design methodology has been first implemented on a Single Machine Infinite Bus (SMIB) power system model. The robust controller places the closed loop rotor modes of the system to the desire location while keeping the electrical modes intact. Unlike conventional lead/lag PSS design, the proposed PSS design is based on pole assignment technique which takes into account of various model uncertainties. For the proposed stabilizer design in a multi-machine systems a new decentralized method has been used which requires system data only upto secondary bus of the unit transformer in a generating station. The proposed robust controller design based on modified Nevanlinna-Pick theory has been designed and tested extensively on SMIB and multi-machine systems to establish the efficacy of the controller in damping small signal oscillations. The thesis is organized in four chapters as follows. The first chapter discusses the basic concepts related to the rotor angle stability in power system. The conventional and other methods of countering this instability by power system stabilizers have been described. The relative merits of the various stabilization techniques have been discussed. The scope of present work, i.e design of decentralized robust power system controllers has been defined. In second chapter a modified robust power system stabilizer for SMIB system is developed. It has been shown that under specific conditions the modified Nevanlinna-Pick theory can also be applied for designing damping controllers in system with lightly damped rotor modes. Third chapter proposes a decentralized approach based on modified Nevanlinna-Pick theory for designing a power system stabilizer for interconnected power systems. The performance of the controller which is not based on external system information has been investigated on three widely used multi-machine test systems to established its efficacy in damping out low frequency oscillations. The fourth chapter gives a brief summary of the work done and also includes a section on the scope of future work relating to design of power system stabilizers.

No description available.

The radical changes that are currently occurring in the nature of power systems means that in the future it may no longer be possible to guarantee security of supply using offline security assessment and planning. The increased uncertainty, particularly the reduction and variation in system inertia that will be faced in the future must be overcome through the use of adaptive online solutions for ensuring system security. The introduction of synchronised measurement technology means that the wide area real time measurements that are necessary to implement these online actions are now available.The objective of the research presented in this thesis was to create methods for predicting the post-disturbance frequency behaviour of a power system with the intent of contributing to the development of real time adaptive corrective control for future power systems. Such a prediction method would generate an online prediction based on wide area measurements of frequency and active power that are recorded within the period of approximately one second after a disturbance to the active power balance of the system. Predictions would allow frequency control to respond more quickly and efficiently as it would no longer be necessary to wait for the system frequency behaviour to violate pre-determined thresholds.The research presented in this thesis includes the creation of an online method for the simultaneous detection of the time at which a disturbance occurred in a power system, or area of a power system, and the estimation of the inertia of that system, or area. An existing prediction method based on approximate models has been redesigned to eliminate its dependence on offline information. Furthermore, the thesis presents the novel application of pattern classification theory to frequency prediction and a five class example of pattern classification is implemented.

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. 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. 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. 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.