Dentre as diversas fontes de energia renovável que existem atualmente, a energia eólica é a que tem apresentado o maior crescimento nos Sistemas Elétricos de Potência (SEPs). A flutuação de potência da geração eólica, no entanto, tem causado grandes desafios no que diz respeito à Qualidade da Energia Elétrica (QEE) e à operação do SEP. O grande progresso dos Sistemas de Armazenamento de Energia (SAEs), aliado à crescente inserção de geração eólica nos SEPs, tem promovido grande interesse na utilização dos SAEs junto aos aerogeradores. Este trabalho apresenta a utilização de um SAE, conectado ao elo CC do conversor back-to-back do aerogerador, e uma técnica de controle baseada na lógica fuzzy para suavizar as variações da potência de curto prazo da geração eólica. A técnica de controle proposta também é utilizada para gerenciar o Estado de Carga (SOC) do SAE para evitar a condição sobrecarregada e totalmente descarregada. O controle fuzzy é testado e comparado com uma técnica de controle convencional e também com a topologia típica do aerogerador, onde não é utilizado o SAE. As técnicas são avaliadas e comparadas com base em diferentes indicadores numéricos da qualidade da suavização. Um simulador digital em tempo real (RTDSR) é utilizado para realizar as simulações, onde é considerado um aerogerador de 2 MW, um supercapacitor e uma microrrede baseada no benchmark do CIGRÉ de média tensão. Os resultados mostraram que as técnicas de controle do supercapacitor possibilitaram uma adequada suavização de potência da geração eólica e puderam contribuir para a QEE e a operação da microrrede. A técnica inteligente baseada no controlador fuzzy mostrou resultados superiores à técnica convencional e, portanto, apresentou grande potencial para a aplicação. / Among several renewable energy sources existing nowadays, wind energy has presented the largest growth in power systems. The wind power fluctuations, however, has brought great challenges concerning Power Quality (PQ) and power system operation. The great progress of Energy Storage Systems (ESSs), together with the increasing penetration of wind power worldwide, has lead to a great interest in the use of ESS in wind energy. This study presents the application of a ESS, connected to the DC link of the backto- back converter of the wind turbine, and a control technique based on fuzzy logic to smooth out the short-term wind power fluctuations. The proposed control technique is also used to manage the State of Charge (SOC) of the ESS to avoid the overcharged and undercharged states. The fuzzy control is tested and compared with a conventional control technique and also with the typical wind turbine topology, where the ESS is not used. The techniques are evaluated and compared based on different quantitative indicators that represent the quality of the power smoothing. Simulations are carried out in the Real-Time Digital Simulator (RTDSR), where a 2 MW wind turbine, a supercapacitor and a microgrid system based on the CIGRÉ medium voltage benchmark are considered. The results have shown that the control techniques of the supercapacitor permitted a suitable smoothing of the fluctuating wind power and contributed to the microgrid PQ and operation. The intelligent control technique based on the fuzzy logic has shown superior performance compared to the conventional technique and, therefore, presented great potential for application.

Arbetet Tillämpning av batterilager som energitjänsten lastutjämnare är en litteraturstudie och en kvantitativ studie. I studien har driftkarakteristiken år 2015 hos en matvarubutik legat till grunden. Arbetet har syftat i att besvara frågan kring ett batterilagers lämplighet som agerade för lastutjämning. För att ta reda på det har batterilagersegenskaper kartlagts och dimensionering gjorts utifrån två olika driftfall. En ekonomisk besparingspotential har även beräknats utifrån de bägge driftfallen. Driftfallen har valts att kallas teknisk dimensionering och ekonomisk dimensionering. De tekniska dimensionerade lagerna har en lager storlek om 617 kWh och 555kWh vilket motsvarar 7,1% respektive 5,8% av den dagliga energianvändningen. För de ekonomiskt dimensionerade lagerna har en lager storlek om 597 kWh och 233kWh vilket motsvarar 6,8% respektive 2,8% av den dagliga energianvändningen. Den ekonomiska besparingspotentialen blir som störst för en blandad körning av de bägge driftfallen. Trotts att besparingspotentialen är uppskattade under ideala förhållanden med varken förluster eller degraderad prestanda lönar det inte sig att investera i ett batterilager för att enbart utföra tjänsten effektutjämning idag. Investering i ett batterilager för effektutjämning har potential att bli lönsam först när den kan tillgodose fler energitjänster eller när alternativkostnaden är förhöjd. / This thesis, is a study of battery energy storage and its use as energy source and smoothening of power fluctuation. Studies have been made as a systematic review and a quantitative study. The study has consisted of analysing the power characteristic from a supermarket in the city of Varberg during year 2015. The object has been to evaluate the energy storage and the power smoothing qualities. Therefore the battery energy storages characteristics have been evaluated in this systematic review. For the quantitative study, calculations of the energy storage sizes were made for two separate operation modes. The two different operation modes were named technical dimensioning and economic dimensioning. The function of the technical dimensioning was to smooth the power outlet from the grid, while the function of the economic dimensioning was to enable the supermarket to buy more energy during low-price hours. Based on monthly power characteristics, each dimensioning gave as a result two energy storage possibilities, one in medium and one in small size. The technical dimensioning resulted in battery energy storage of the sizes 617 kWh and 555kWh which is comparable to 7,1% and 5,8% of the daily energy usage of the supermarket. The economic dimensioning resulted in battery energy storage of the sizes 597 kWh and 233kWh which is comparable to 6,8% and 2,8% of the daily energy usage of the supermarket. For optimizing the economic savings, a variation of technical and economic operation mode are needed, depending on calculated power usage through the day and elspot prices. The study shows that a battery storage is difficult to finance. The calculated economic savings were estimated during ideal conditions and without power loss or loss in performance. As a conclusion from this study a battery storage may have a good payback if there are several energy services to be filled.

Wave energy converter (WEC) harnesses energy from the ocean to produce electrical power. The electrical power produced by the WEC is fluctuating and is not maximized as well, due to the varying ocean conditions. As a consequence, without any intermediate power conversion stage, the output power from the WEC can not be fed into the grid. To feed WEC output power into the grid, a two-stage power conversion topology is used, where the WEC output power is first converted into DCpower through rectification, and then a DC-AC converter (inverter) is used to supply AC power into the grid. The main motive of this research is to extract maximum electrical power from the WEC by active rectification and smoothing the power fluctuation of the wave energy converter through a hybrid energy storage system consisting of battery and flywheel. This research also illustrates active and reactive power injection to the grid according to load demand through a voltage source inverter.