Recent issues such as priority access of renewable resources recommended by European energy directives and increase the electricity trading among countries lead to new requirements on the operation and expansion of transmission grids. Since AC grid expansions are limited by legislative issues and long distance transmission capacity, there is a considerable attention drawn to application of HVDC transmission grids on top of, or in complement to, existing AC power systems. The secure operation of HVDC grids requires a hierarchical control system. In HVDC grids, the primary control action to deal with power or DC voltage deviations is communication-free and local. In addition to primary control, the higher supervisory control actions are needed to guarantee the optimal operation of HVDC grids. However, the implementation of supervisory control functions is linked to the arrangement of system operators; i.e. an individual HVDC operator (central structure) or sharing tasks among AC system operators (distributed structure). This thesis presents distributed control of an HVDC grid. To this end, three possible supervisory functions are investigated; coordination of power injection set-points, DC slack bus selection and network topology identification. In this thesis, all three functions are first studied for the central structure. For the distributed solution, two algorithms based on Alternating Direction Method of Multipliers (ADMM) and Auxiliary Problem Principle (APP) are adopted to solve the coordination of power injection. For distributed selection of DC slack bus, the choice of parameters for quantitative ranking of converters is important. These parameters should be calculated based on local measurements if distributed decision is desired. To this end, the short circuit capacity of connected AC grid and power margin of converters are considered. To estimate the short circuit capacity as one of the required selection parameters, the result shows that the recursive least square algorithm can be very efficiently used. Besides, it is possible to intelligently use a naturally occurring droop response in HVDC grids as a local measurement for this estimation algorithm. Regarding the network topology, a two-stage distributed algorithm is introduced to use the abstract information about the neighbouring substation topology to determine the grid connectivity. / <p>QC 20170306</p>

Esta Tese trata do controle e integração de centrais eólicas à rede elétrica interligada, utilizando-se geradores de indução duplamente alimentados (GIDE). O objetivo principal da Tese foi desenvolver estratégias de controle discreto para o sistema de geração eólica, de forma a reduzir os impactos na qualidade da energia gerada, em função dos diversos regimes e transitórios de vento, que podem ocorrer no sítio eólico. Para o projeto do sistema de controle dos geradores foi adotada a técnica do controle vetorial, de forma a desacoplar o controle do fluxo das potências ativa e reativa entre o gerador e a rede elétrica. Visando caracterizar os diversos modos de operação do GIDE, com velocidades acima e abaixo da síncrona, foi desenvolvido um estudo de regime permanente do gerador, obtendo-se os limites de correntes, tensões e demais grandezas elétricas e mecânicas, para uma determinada faixa de velocidade. As principais estratégias de controle atualmente utilizadas pelos fabricantes de turbinas eólicas foram analisadas, destacando-se os aspectos da eficiência energética do conjunto turbina-gerador e da qualidade da energia. O projeto das malhas de controle dos conversores estáticos conectados ao circuito do rotor foi desenvolvido utilizando a técnica de controle discreto, propondo-se as estratégias de controle e o conjunto de especificações para definição dos ganhos dos controladores, objetivando reduzir os impactos na qualidade da energia gerada. Foi analisada a influência da modelagem da turbina com eixos elásticos e eixos rígidos, no comportamento das variáveis controladas. Buscando reduzir os harmônicos de ordem elevada da corrente do gerador, devido à modulação por largura de pulso (PWM) dos conversores estáticos, foi proposta uma estratégia de projeto de filtro passivo LCL, instalado no circuito do rotor. Um programa de simulação no ambiente Matlab/Simulinkâ foi desenvolvido, para análise da interligação de um parque eólico, representado por uma turbina equivalente, ao sistema elétrico de potência reduzido, permitindo estudos de regime permanente e transitório. Com este programa, um estudo de caso foi realizado, avaliando-se o controle e a integração de uma usina eólica de 192MW, conectada na rede básica do sistema interligado nacional, na tensão 230kV. Os resultados obtidos mostram as contribuições, das estratégias de controle propostas, para melhorar o comportamento das tensões do sistema elétrico quando da ocorrência de transitórios de ventos na usina. / This Thesis presents the control and integration of wind farms to the interconnected power grid, using doubly fed induction generators (DFIG). The main objective of the present Thesis was to develop discrete control strategies for the wind generation system, with the goal to reduce the wind variations impacts in the grid power quality. The design technique selected for the generators control system was the vector control technique, which allows independent control of active and reactive power flow between the generator and the grid. In order to characterize the diverse operation modes of the DFIG, below and above the synchronous speed, a generator steady-state study was developed, getting the current and voltage limits and the others electric and mechanical safe limits variables, for one determined speed range. The main control strategies currently used by the wind turbines manufacturers were analyzed, highlighting the aspects of the turbine-generator energy efficiency and the power quality. The control loops design of the static converters was developed using the discrete control technique. It was elaborated the control strategies and also the basic specifications used to define the controllers gains, with the key target to reduce the impacts in the grid power quality caused by the wind variations. Other aspect covered by this work was the influence of the turbine modeling, with rigid shafts and with shafts of a relatively low stiffness, in the control system performance. In a way to reduce high order harmonics in the generator current, caused by the pulse width modulation (PWM) of the static converters, it was proposed a design strategy of a passive LCL filter, installed in the rotor circuit. A simulation program was developed, using the Matlab/SimulinkÔ platform, to analyze the interconnection of a wind farm, represented by a equivalent turbine, to the reduced power electrical system, allowing steady-state and transient studies. With this simulation program, a case study was developed evaluating the control and integration of a 192MW wind farm, connected to 230kV voltage level of the national interconnected power system. The main results reached by this work showed the contributions of the control strategies proposed to improve the electrical system voltages behavior, when wind variations occur in the wind farm.

Esta Tese trata do controle e integração de centrais eólicas à rede elétrica interligada, utilizando-se geradores de indução duplamente alimentados (GIDE). O objetivo principal da Tese foi desenvolver estratégias de controle discreto para o sistema de geração eólica, de forma a reduzir os impactos na qualidade da energia gerada, em função dos diversos regimes e transitórios de vento, que podem ocorrer no sítio eólico. Para o projeto do sistema de controle dos geradores foi adotada a técnica do controle vetorial, de forma a desacoplar o controle do fluxo das potências ativa e reativa entre o gerador e a rede elétrica. Visando caracterizar os diversos modos de operação do GIDE, com velocidades acima e abaixo da síncrona, foi desenvolvido um estudo de regime permanente do gerador, obtendo-se os limites de correntes, tensões e demais grandezas elétricas e mecânicas, para uma determinada faixa de velocidade. As principais estratégias de controle atualmente utilizadas pelos fabricantes de turbinas eólicas foram analisadas, destacando-se os aspectos da eficiência energética do conjunto turbina-gerador e da qualidade da energia. O projeto das malhas de controle dos conversores estáticos conectados ao circuito do rotor foi desenvolvido utilizando a técnica de controle discreto, propondo-se as estratégias de controle e o conjunto de especificações para definição dos ganhos dos controladores, objetivando reduzir os impactos na qualidade da energia gerada. Foi analisada a influência da modelagem da turbina com eixos elásticos e eixos rígidos, no comportamento das variáveis controladas. Buscando reduzir os harmônicos de ordem elevada da corrente do gerador, devido à modulação por largura de pulso (PWM) dos conversores estáticos, foi proposta uma estratégia de projeto de filtro passivo LCL, instalado no circuito do rotor. Um programa de simulação no ambiente Matlab/Simulinkâ foi desenvolvido, para análise da interligação de um parque eólico, representado por uma turbina equivalente, ao sistema elétrico de potência reduzido, permitindo estudos de regime permanente e transitório. Com este programa, um estudo de caso foi realizado, avaliando-se o controle e a integração de uma usina eólica de 192MW, conectada na rede básica do sistema interligado nacional, na tensão 230kV. Os resultados obtidos mostram as contribuições, das estratégias de controle propostas, para melhorar o comportamento das tensões do sistema elétrico quando da ocorrência de transitórios de ventos na usina. / This Thesis presents the control and integration of wind farms to the interconnected power grid, using doubly fed induction generators (DFIG). The main objective of the present Thesis was to develop discrete control strategies for the wind generation system, with the goal to reduce the wind variations impacts in the grid power quality. The design technique selected for the generators control system was the vector control technique, which allows independent control of active and reactive power flow between the generator and the grid. In order to characterize the diverse operation modes of the DFIG, below and above the synchronous speed, a generator steady-state study was developed, getting the current and voltage limits and the others electric and mechanical safe limits variables, for one determined speed range. The main control strategies currently used by the wind turbines manufacturers were analyzed, highlighting the aspects of the turbine-generator energy efficiency and the power quality. The control loops design of the static converters was developed using the discrete control technique. It was elaborated the control strategies and also the basic specifications used to define the controllers gains, with the key target to reduce the impacts in the grid power quality caused by the wind variations. Other aspect covered by this work was the influence of the turbine modeling, with rigid shafts and with shafts of a relatively low stiffness, in the control system performance. In a way to reduce high order harmonics in the generator current, caused by the pulse width modulation (PWM) of the static converters, it was proposed a design strategy of a passive LCL filter, installed in the rotor circuit. A simulation program was developed, using the Matlab/SimulinkÔ platform, to analyze the interconnection of a wind farm, represented by a equivalent turbine, to the reduced power electrical system, allowing steady-state and transient studies. With this simulation program, a case study was developed evaluating the control and integration of a 192MW wind farm, connected to 230kV voltage level of the national interconnected power system. The main results reached by this work showed the contributions of the control strategies proposed to improve the electrical system voltages behavior, when wind variations occur in the wind farm.

The goal of this Masters Thesis research is to evaluate alternative transmission systems from remote wind farms to the main grid using low-frequency AC technology. Low frequency means a frequency lower than nominal frequency (60/50Hz). The low-frequency AC network can be connected to the power grid at major substations via cyclo-converters that provide a low-cost interconnection and synchronization with the main grid. Cyclo-converter technology is utilized to minimize costs which result in systems of 20/16.66 Hz (for 60/50Hz systems respectively). Low frequency transmission has the potential to provide an attractive solution in terms of economics and technical merits.

Made available in DSpace on 2014-12-17T14:55:43Z (GMT). No. of bitstreams: 1 RicardoBM_DISSERT.pdf: 1094194 bytes, checksum: b8e5943b9e567c5466093b97b36b90c2 (MD5) Previous issue date: 2009-12-09 / This study aims to use a computational model that considers the statistical characteristics of the wind and the reliability characteristics of a wind turbine, such as failure rates and repair, representing the wind farm by a Markov process to determine the estimated annual energy generated, and compare it with a real case. This model can also be used in reliability studies, and provides some performance indicators that will help in analyzing the feasibility of setting up a wind farm, once the power curve is known and the availability of wind speed measurements. To validate this model, simulations were done using the database of the wind farm of Macau PETROBRAS. The results were very close to the real, thereby confirming that the model successfully reproduced the behavior of all components involved. Finally, a comparison was made of the results presented by this model, with the result of estimated annual energy considering the modeling of the distribution wind by a statistical distribution of Weibull / Este trabalho tem por objetivo, utilizar um modelo computacional que considera as caracter?sticas estat?sticas do vento e as caracter?sticas de confiabilidade de uma turbina e?lica, tais como taxas de falha e de reparo, representando a usina e?lica por um processo de Markov, para determina??o da estimativa anual da energia gerada e compar?-la com um caso real. Este modelo tamb?m pode ser utilizado em estudos de confiabilidade, al?m de fornecer alguns indicadores de desempenho, que ajudar?o na an?lise de viabilidade de implanta??o de uma usina e?lica, uma vez conhecida a curva de pot?ncia do aerogerador e dispondo-se de medi??es anemom?tricas da velocidade do vento. Para a valida??o deste modelo, foram feitas simula??es utilizando o banco de dados da usina e?lica de Macau da PETROBRAS. Os resultados obtidos foram bem pr?ximos do real, confirmando, assim, que o modelo reproduziu com sucesso o comportamento de todos os componentes envolvidos. Finalmente, foi feita uma compara??o dos resultados apresentados por este modelo, com o resultado da energia anual estimada considerando a modelagem do comportamento do vento por uma distribui??o estat?stica de Weibull

Modelling the wake effect generated by wind turbines is an essential part for calcu- lating a wind farm’s expected energy production. Operating wind turbines disturb the flow of the wind, which results in decreased production of downwind turbines. The N. O. Jensen model is an industry standard wake model that assumes a linear expansion of the downstream wake. The only adjustable parameter in the model is the wake decay constant (WDC), which has traditionally been derived semi em- pirically from terrain surface roughness. However, the WDC defines the expansion rate of the generated wake, and therefore can be linked to the ambient turbulence intensity (TI): high ambient turbulence leads to a faster decay of the generated wake, and therefore to lower wake losses, and vice-versa. Since the influence of the roughness on the ambient turbulence intensity is expected to be less significant at higher heights, these roughness-based WDC values are rather uncertain for the hub heights employed nowadays. The following study presents the results of a comparison between observed and mod- elled wake losses based on different WDC values. To investigate how a change in height affects the wake modelling, two wake scenarios occurring between two tur- bine sets with different hub heights are selected from an operational wind farm. By modelling the wakes using roughness as well as turbulence intensity-based WDCs, conclusions can be drawn on how the predictive capability of the N.O. Jensen model depends on the selection of a suitable WDC value. Finally it is concluded that the goodness of fit between modelled and observed wake losses shows a clear dependency on the wind speed/power production inter- val. At higher wind speeds, the TI-based WDC resulted in a better accuracy of the modelled wake losses as compared to the roughness-based WDC, while for lower wind speeds the N. O. Jensen model performed most accurately when using WDC = 0.075. However, for the investigated cases the overall accuracy of the modelled wake appears to be higher when choosing WDC = 0.075 instead of a TI-based WDC.

Les travaux de recherche présentés dans ce mémoire ont pour objet d’apporter une vision stratégique d’intégration des productions distribuées (PD) dans les réseaux électriques. Ces travaux concernent la localisation optimale du point de raccordement, le dimensionnement et le type de production dans l’objectif de maximiser les bénéfices de la PD et de minimiser les pertes dans les réseaux. Les travaux de cette thèse concernent également la prise en compte de la variabilité de la charge et de la production dans la planification et la gestion opérationnelle des réseaux électriques. Tout d’abord, des algorithmes ont été développés pour les études des flux de puissance dans les systèmes d'alimentation en utilisant la méthode du complément Schur et la méthode « Run Length Encoding ». Ensuite, les pertes ont été estimées dans le calcul de la production réelle en développant un modèle linéaire simple, efficace et flexible. Par la suite, des productions décentralisées connectées aux réseaux électriques ont été modélisées en utilisant une méthode qui fusionne les filtres de Kalman et la théorie des graphes dans le but d'estimer la taille optimale de la production décentralisée. Une méthode qui comporte deux étapes est proposée. Dans la première étape, la méthode graphique est utilisée pour générer la matrice incidente pour construire le modèle linéaire et dans la deuxième étape, un algorithme Kalman est appliqué pour obtenir la taille optimale de production décentralisée à chaque jeu de barres. Les défis de l'utilisation de productions décentralisées ont été abordés pour minimiser la fonction objective (pertes de puissance réelle) en tenant compte de la capacité des productions décentralisées, de la capacité de la ligne de transmission et des contraintes de profil de tension. L’algorithme génétique et de techniques d'optimisations comme la méthode de points intérieurs ont été proposés pour déterminer localement et globalement le dimensionnement optimal et l'emplacement optimal des productions décentralisées dans les réseaux électriques. Enfin, un modèle de charge active a été conçu pour étudier différents types de courbe de charge (résidentielle, commerciale et industrielle). Nous avons développé également des algorithmes de simulation pour étudier l'intégration des parcs éoliens dans les réseaux électriques. Nous avons conçu des méthodes analytiques pour sélectionner la taille et l’emplacement d’une ferme éolienne, basé sur la réduction des pertes de puissance active. Nous avons montré que les variations de la vitesse moyenne annuelle du vent pourraient avoir un effet important sur les calculs de pertes de puissance active. Les méthodes analytiques et les algorithmes de simulation ont été développés sous Matlab/Simulink. / The research presented in this thesis aims at providing a strategic vision for the integration of distributed generators (DGs) into grid networks. This work focuses the optimal location of the connection point, dimensioning and type of production in order to maximize the benefits of DGs and minimize power losses in the networks. The work also concerns the impact of the variability of the load and the production in the planning and the operational management of the networks. First, algorithms have been developed for power flow studies in power systems using the Schur complement method and the "Run Length Encoding" method. Then, losses were estimated in the calculation of power output by developing a simple, efficient and flexible linear model. Subsequently, decentralized outputs connected to the electrical networks were modeled using a method that merges Kalman filters and graph theory in order to estimate the optimal size of decentralized production. A method which consists of two steps is proposed. In the first step, the graphical method is used to generate the incident matrix to construct the linear model and in the second step a Kalman algorithm is applied to obtain the optimal decentralized production size for each busbar. The challenges of using decentralized production have been addressed to minimize the objective function (real power losses) by taking into account the capacity of the decentralized productions, transmission line capacity and voltage profile constraints. The genetic algorithms and optimization techniques such as the method of interior points have been proposed to determine locally and globally the optimal dimensioning and the optimal location of the decentralized productions in the electrical networks. Finally, an active load model was designed to study different types of load curves (residential, commercial and industrial). We have also developed simulation algorithms to study the integration of wind farms in power grids. We have designed analytical methods to select the size and location of a wind farm, based on the reduction of active power losses. We have shown that variations in the mean annual wind speed could have a significant effect on the calculations of active power losses. Analytical methods and simulation algorithms were developed under Matlab / Simulink.

This work proposes a methodology to evaluate the performance of operating wind farms via the use of Supervisory Control and Data Acquisition System (SCADA) and modeled data. The potential annual energy is calculated per individual turbine considering underperforming/loss events to have their power output in accordance with a representative derived operational power curve. Losses/underperformance events are calculated and categorized into several groups aiming at identifying and quantify their causes. The methodology requires both anemometry data from SCADA system as well as modeled data. The discrepancy of the data representing the valid points of the power curve is taken into consideration as well when assessing the performance, i.e. wind speed vs power output of events that are not loss/underperformance. Production loss and relative standard deviation of power output of what is defined as “valid sample” in this work (per each turbine) are the main results obtained in this work. Finally, a number of optimization measures are suggested in order to enhance the performance, which can lead to a boost in the financial output of a wind farm. Aiming at judging the reliability of the proposed methodology, a case study is conducted and evaluated. The investigated case study shows that the methodology is capable of determining potential energy and associated losses/underperformance events. Several questions were raised during the assessment and are discussed in this report, recommendation for optimization measures are presented at the end of the study. Also, a discussion on the limitations and uncertainties associated to the presented methodology and the case study.

In the southern part of Sweden, specifically in price zone SE4, there is an increasing cost of electricity and a contemporary supply deficit. This research aims to elaborate on the deficit in electrical generation to consumption in SE4. The found values indicate a 42% unmet demand, equaling 5.152 TWh annually. However, long-term solutions on a European and Swedish regional level require years to be implemented, and the complications of permitting and public acceptance of new renewable projects pose a delaying factor. Henceforth, repowering aging wind farms, which are nearing the end of their operational lifetime, presents a viable solution. In this research, a case study for SE4 old wind sites has been identified and assessed, using three repowering scenarios: Scenario I - wind, Scenario II - wind &amp; solar, and Scenario III - wind, solar &amp; storage system. The scenarios have been simulated using the available renewable resources in the case study area and retrofitted within the exact required surface area that the current case study system occupies of 42.71 km2. The results have shown that all scenarios have great potential to limit the 42% deficit of supply in SE4 when implemented. The share of annual generation found for each scenario was 0.939 TWh, 3.08 TWh, and 3.962 TWh, respectively. These annual generations will contribute to 7.7%, 25.32%, and 32.5% of the annual electrical consumption found for SE4. The first scenario of only wind energy is the most economical and has the highest capacity to productiveness of area ratio, at a 22.27 GWh/km2/year for 68 MW installed capacity.

Wind energy is on an upswing due to climate concerns and increasing energy demands on conventional sources. Wind energy is attractive and has the potential to dramatically reduce the dependency on non-renewable energy resources. With the increase in wind farms there is a need to improve the efficiency in power allocation and power generation among wind turbines. Wake interferences among wind turbines can lower the overall efficiency considerably, while offshore conditions pose increased loading on wind turbines. In wind farms, wind turbines* wake affects each other depending on their positions and operation modes. Therefore it becomes essential to optimize the wind farm power production as a whole than to just focus on individual wind turbines. The work presented here develops a hierarchical power optimization algorithm for wind farms. The algorithm includes a cooperative level (or higher level) and an individual level (or lower level) for power coordination and planning in a wind farm. The higher level scheme formulates and solves a quadratic constrained programming problem to allocate power to wind turbines in the farm while considering the aerodynamic effect of the wake interaction among the turbines and the power generation capabilities of the wind turbines. In the lower level, optimization algorithm is based on a leader-follower structure driven by the local pursuit strategy. The local pursuit strategy connects the cooperative level power allocation and the individual level power generation in a leader-follower arrangement. The leader, could be a virtual entity and dictates the overall objective, while the followers are real wind turbines considering realistic constraints, such as tower deflection limits. A nonlinear wind turbine dynamics model is adopted for the low level study with loading and other constraints considered in the optimization. The stability of the algorithm in the low level is analyzed for the wind turbine angular velocity. Simulations are used to show the advantages of the method such as the ability to handle non-square input matrix, non-homogenous dynamics, and scalability in computational cost with rise in the number of wind turbines in the wind farm.