Este trabalho apresenta um estudo de medições e simulações de fluxo harmônico na Usina Solar Fotovoltaica do Estádio Mineirão em Belo Horizonte/MG. O objetivo foi verificar o comportamento dos inversores solares fotovoltaicos na geração de harmônicos e a atenuação ocorrida pela agregação de múltiplos inversores. Para isso, foram realizadas medições em seis pontos estratégicos da usina investigada, por meio de analisadores de qualidade de energia, o que possibilitou a verificação do comportamento da usina em horários distintos e condições climáticas diversas. Foi avaliada a injeção de harmônicos no sistema elétrico pelos inversores e comparados os valores com os limites previstos em normas, procedimentos e recomendações vigentes. Além disso, o modelo completo da usina foi desenvolvido e simulado utilizando os softwares OpenDSS, ANAH e PowerFactory para análise harmônica e sua validação com os dados de medição. Os resultados obtidos indicam boa conformidade das medições e adequações dos modelos desenvolvidos. / This work presents a study of harmonic measurements and flow simulations in Photovoltaic Solar Plant of the Mineirao Stadium in Belo Horizonte/MG. The objective was to verify the behavior of photovoltaic solar inverters in the generation of harmonics and the attenuation occurred by the aggregation of multiple inverters. For this, measurements were performed on six strategic points of the investigated plant through power quality analyzers, allowing the verification of the plant's behavior at different times and different climates. It was evaluated the injection of harmonics in the electrical system for inverters and compared the values with the limits laid down in standards, procedures and current recommendations. In addition, the complete model of the plant was developed and simulated using the OpenDSS, ANAH and PowerFactory softwares to harmonic analysis and its validation with the data measurement data. The results indicate good agreement between measurement and developed models.

The new generation of cars are so-called Plug-in Hybrid Electric Vehicles (PHEVs) which has the grid connection capability. By the introduction of these vehicles, the grid issues will be connected to the private car transportation sector for the first time. The cars from the gird perspective can be considered as a regular load with certain power factor. The effects of this type of new load in distribution grid are studied in this thesis. By modelling the cars as regular load, the effects of the cars in three distinct areas in Stockholm are investigated. The car number in each area is estimated based on the population and commercial density of electricity consumption in the three areas. Afterward, the average electricity consumption by the cars in one day is distributed among 24 hours of the day with peak load in the studied year. This distribution is done by two regulated and unregulated methods. The regulated method is based on the desired pattern of electricity consumption of PHEVs by vehicle owners. On the other hand, the regulated pattern is designed based on encouragement of the car owners to consume electricity for charging their car batteries at low-power hours of day (usually midnight hours). The power system from high voltage lines in Sweden down to 11 kV substations in Stockholm simulated in PSS/E software has been used in this study. The automation program (written in Python) is run in order to get the output report (voltage variation and losses) of the load flow calculations for different hours of day by adding the required power for PHEVs both by regulated and unregulated patterns. The results show the possibility of introducing growing number of cars till year 2050 in each area with existing grid infrastructures. Moreover, the number of cars, yearly and daily electric consumption for PHEVs in pure electric mode are shown in this project and the effects of regulated electricity consumption are investigated. It is concluded that since the car number is estimated based on the population, the areas with higher residential characteristics are more problematic for integration of PHEVs from capacity point of view. Moreover, by regulating the charging pattern of PHEVs, the higher number of PHEVs can be integrated to the grid with the existing infrastructures. In addition, the losses have been decreased in regulated pattern in comparison with unregulated pattern with the same power consumption. The voltage in different substations is within the standard boundaries by adding 100 percent of PHEVs load for both regulated and unregulated patterns in all three areas.

ABSTRACT The large-scale integration of PV solar energy onto the electricity grid remains a major challenge because of the intermittency issues which affect the grid reliability. In this thesis, we investigate the impact of grid integration issues upon the optimal energy R&D portfolio for climate change under damage uncertainty. We especially look at how the following two contrasting assumptions about solar intermittency issues will impact the composition of the optimal energy R&D technology portfolio for climate change. The first assumption, which we term “costly solar storage”, implies that grid integration will have costs; the second assumption, which we term “free solar storage”, implies that grid integration will have no costs. To achieve this task, we first present a two-stage stochastic programming model for energy R&D portfolio for climate change and the solution methods used to solve it. We will refer to this model as the budget constraint model (BCM model). Then, we will introduce a relaxation of the BCM model by including the R&D budget as a cost in the objective function. We will call this the overall optimal model (OOM model). In order to represent the impacts of technical change, we will use the Mini-Climate Assessment Model (MiniCAM) to generate marginal abatement cost curves (MAC), which represent the cost of reducing an additional ton of CO2. Two sets of MAC curves based on the two assumptions are generated and used in our models to estimate the impacts of grid issues on the optimal R&D portfolios for climate change. The results of our analysis using the BCM model show that the composition of the optimal portfolio remains almost the same under the two grid assumptions. However, the results of the OOM model show some significant differences between the two assumptions, with considerably more solar R&D investment when intermittency issues are neglected. Our estimates of the costs of the grid range between 2.5 billion and 21 billion dollars.

La qualité de la puissance injectée au réseau électrique est une problématique importante pour le développement des énergies marines renouvelables, et en particulier de l'énergie des vagues, ou énergie houlomotrice. En effet la puissance produite par les systèmes houlomoteurs à entrainement direct est très fluctuante (fluctuations de l'ordre de la seconde) à cause de la nature oscillante de la ressource. Afin d'étudier l'impact de l'intégration des ces systèmes sur les réseaux électriques, un modèle permettant de représenter la chaîne depuis la vague jusqu'au réseau électrique a été développé. Les simulations effectuées à l'aide de ce modèle pour différents types de réseau électrique et différents états de mer ont montré que la mise en place de solutions pour améliorer la qualité de la puissance produite était nécessaire. Ainsi l'effet du regroupement et de la dispersion spatiale des systèmes houlomoteurs sur la qualité de la puissance a été étudiée. L'insertion d'un système de stockage dans la chaîne wave-to-wire afin de lisser la puissance a aussi été considérée. Enfin, une partie du modèle a pu être validée à l'aide d'un banc de test Hardware-in-the-loop comprenant un banc moteur, des armoires de puissance pour émuler électronique de puissance et le réseau électrique et un module de supercondensateurs. / Power quality is an important issue for the development of marine renewable energies, in particular wave energy. Due to the oscillatory nature of the oceans waves, the wave energy converters output power profile can present fluctuations in the range of seconds. The impact of these devices on the electric grid therefore needs to be investigated for wave farms to be connected to the grid. In order to emulate an operating direct drive wave energy converter, study power quality improvement and test different control strategies, a wave-to-wiremodel has been developed.Simulations carried out with this model for different grid strengths and different levels of sea-state showed that it is necessary to foster solutions to improve power quality. Thus, the wave energy converters aggregating and dispersion effects on power quality have been investigated. As it does not seem sufficient to meet the grid codes requirements, another solution have been considered, consisting of the insertion of an energy storage system into the chain. Finally, a part of the model has been validated using a hardware-in-the-Loop test bench including a motorbench, power modules to emulate the grid and power electronic's control and super capacitors module.

For planning issues, it is useful to know the upper limit for photovoltaics (PV) in the electrical grid with current design and operation (defined as hosting capacity) and how this limit can be increased. Future costs for grid reinforcement can be avoided if measures are taken to implement smart grid technology in the distribution grid. The aim of this project is to identify challenges in Swedish electricity distribution grids with a high penetration of local generation of electricity from PV. The aim is also to help Swedish Distribution System Operators (DSOs) to better understand hosting capacity issues, and to see which room for PV integration there is before there is need for actions to maintain power quality. Three distribution grids are modelled and simulated in Matlab: Rural area, Residential area and City (Stockholm Royal Seaport). Since the project is a cooperation between Uppsala University and Fortum, three different representative grids from Fortum’s grid software ”Power Grid” have been used as input to a flexible simulation program developed at Uppsala University. The simulation includes Newton-Raphson power-flow computing but has also been improved with a model of the temperature dependency of the resistance. The results show that there is room for a lot of PV systems in the Swedish grids. When using voltage rise above 1.1 p.u. voltage as limitation, the hosting capacity 60% PV electricity generation as a fraction of the yearly load were determined for the rural grid and the suburban grid. For the city grid, which is very robust, the hosting capacity 325% was determined. When using overload as limitation, the hosting capacities 70%, 20% and 25%, were determined for the same grids.

Due to increasing penetration of decentralized variable renewable energy generators and the increasing demand of electrical power due to the electrification of the heat and transport sectors, low voltage grids are facing critical problems. Deviation of the permitted voltage range and local overloads of the grid equipment, are the two main issues that are compromising a smooth distribution grid operation. An intelligent integration of distributed generators, heat-pumps and electric vehicles into a Smart Grid, allows the flexibility that they intrinsically provide, to be used by distribution system operators to avoid critical grid conditions. Smart grid suppliers currently available on the market, have been categorized into Local, Decentralized and Centralized Smart Grid Concepts. Their main difference is represented by the level of control, communication and coordination that they make use of. The aim of the thesis was to evaluate the effectiveness of solution of the Smart Grid Concepts implementation in specific low voltage grids, especially in term of voltages and loadings mitigation capabilities, to be used as a decision making tool for future smart grid implementations. A control architecture that emulates the way the analyzed Smart Grid Concepts operate, has been implemented in Python and tested on three different low voltage distribution networks in DigSILENT PowerFactory. The control architecture is an algorithm that communicates to DigSILENT PowerFactory how the Smart Grid needs to operate in response to detected critical grid conditions. The flexibility that the Smart Grid Concepts make use of, are battery storage, active power curtailment and reactive power compensation from photovoltaic inverters and demand side management by means of electric vehicles and heat pumps. In particular, in order to make most use of the available flexibility, an intelligent electric vehicles charging strategy has been implemented as well as an intelligent heat pump operation. Both static worst-case simulations and time-dependent simulations, over a winter and a summer day, for different penetration scenarios, have been carried out. The summary of the simulation results showed that while the Decentralized Smart Grid Concept, if the flexibility is available, is always able to keep voltages and loadings between their critical values, the Local Smart Grid Concept is not able to do the same for the loadings. / På grund av ökad penetration av decentraliserade variabla förnybara energikällor och den ökande efterfrågan på elkraft på grund av elektrifiering av värme- och transportsektorn, står lågspänningsnätet inför kritiska problem. Avvikelse av det tillåtna spänningsområdet och lokala överbelastningar av nätutrustningen är de två huvudproblemen som äventyrar en smidig nätdrift. En intelligent integration av distribuerade generatorer, värmepumpar och elektriska fordon i ett smart nät, tillåter flexibiliteten som de egentligen tillhandahåller, för att undvika kritiska rutnätförhållanden. Smartnätleverantörer som för närvarande är tillgängliga på marknaden har system som kategoriserats som lokalt, decentraliserat och centralt Smart Grid Concepts. Deras huvudsakliga skillnad representeras av den nivå av kontroll, kommunikation och samordning som de utnyttjar. Syftet med avhandlingen var att utvärdera effektiviteten av lösningen av implementeringen av Smart Grid Concepts i specifika lågspänningsnät, särskilt när det gäller spänningar och belastningsreducerande förmågor, som ska användas som beslutsverktyg för framtida smarta nätverksimplementeringar. En reglerarkitektur som emulerar hur ett analyserat Smart Grid Concepts fungerar, har implementerats i Python och testats på tre olika lågspänningsdistributionsnä i DigSILENT PowerFactory. Kontrollarkitekturen är en algoritm som kommunicerar med DigSILENT PowerFactory hur Smart Grid bör fungera som svar på detekterade kritiska gridförhållanden. Den flexibilitet som Smart Grid Concepts använder sig av är batterilagring, aktiv strömavbrott och reaktiv effektkompensation från fotovoltaiska omvandlare och efterfrågesidan hantering med elbilar och värmepumpar. I synnerhet för att på bästa sätt utnyttja den tillgängliga flexibiliteten har en intelligent laddningsstrategi för elfordon implementerats liksom en intelligent värmepumpsoperation. Både statiska wärsta fall simuleringar och tidsberoende simuleringar, över en vinter och en sommardag, för olika penetrationsscenarier har utförts. Sammanfattningen av simuleringsresultaten visade att medan det decentraliserade Smart Grid Conceptet, om flexibiliteten är tillgänglig, alltid kan hålla spänningar och belastningar mellan sina kritiska värden, kan det lokala Smart Grid Concepts inte göra samma för belastningarna.