Wind power generation with modified trapezoidal modulation converter for DC connected offshore wind farms

Author(s):  
Kazuto Tatsumi ◽  
Noriyuki Kimura ◽  
Katsunori Taniguchi ◽  
Toshimitsu Morizane ◽  
Hideki Omori
Resources ◽  
2015 ◽  
Vol 4 (1) ◽  
pp. 155-171 ◽  
Author(s):  
Daniel Drew ◽  
Dirk Cannon ◽  
David Brayshaw ◽  
Janet Barlow ◽  
Phil Coker

2021 ◽  
Vol 43 (3) ◽  
pp. 196-205
Author(s):  
Minkyu Park ◽  
Seongjun Park ◽  
Byungcheol Seong ◽  
Yeonjeong Choi ◽  
Sokhee P. Jung

This review comprehensively reviewed floating offshore wind power generation technology, which is being newly developed as a mid- to long-term plan for wind energy. From the perspective of investment per megawatt (MW), offshore wind power is still about 50 percent more expensive than land wind power. Nevertheless, many advanced countries began to investigate the data because they wondered why they were immersed in development and investment, and why offshore wind facilities installed on the beach and floating offshore wind installed in the middle of the sea, unlike the land wind we knew. We looked at the basic principles of offshore wind power generation and the technologies used in facilities, and looked at the advantages and disadvantages of offshore wind power generation compared to land wind power generation, and what differences between fixed offshore wind farms and floating offshore wind farms. It is investigated whether it is a realistic plan to verify residents’ opposition to the installation of offshore wind power facilities, the possibility of commercialization such as high operational management costs, and the feasibility of installing facilities for renewable energy 3020 as mid- to long-term goals. In addition, it compares foreign cases with offshore wind power development complexes in Korea, marine wind power generation complexes in operation, and high wind power in Scotland, the first floating offshore wind power in Ulsan, Korea, to overcome difficulties in installing facilities and suggest directions for domestic offshore wind power development. In addition, in Korea, where there are not many countries suitable for wind power generation unlike overseas, it was decided to investigate whether floating offshore wind power could be the answer as planned. The reason why the government is pushing for investment in renewable energy such as solar power and wind power is because energy sources from the sun are eco-friendly. However, the U.S. and Europe, which started the wind power project early, are having difficulty in handling the wings of wind power generators. The energy source looked at the contradictions caused by environmental pollution in the treatment of waste, although it was environmentally friendly, and investigated how waste was treated and utilized overseas. Compared to other countries that entered the offshore wind power business earlier, domestic power generation projects are in their infancy and should focus on developing technology and co-prosperity with neighboring residents rather than on excessive expansion.


2018 ◽  
Vol 175 ◽  
pp. 03005
Author(s):  
Feng Peilei ◽  
Wu Hesong ◽  
Zhang Mingsheng ◽  
Wan Wenkni

Wind power generation is one of the most mature and most developed conditions for power generation in new energy generation technology.Large capacity and long distance offshore wind power is the trend of future wind power development.Wind power generation is one of the most mature and commercialized power generation methods in the field of renewable energy utilization.Due to the rich characteristics of offshore wind resources and the urgent need for offshore wind power development projects all over the world, the transmission and interconnection of large-scale offshore wind farms has become a hot topic in the development and research of wind power.This paper focuses on the analysis of the reactive power compensation methods for offshore wind farms, and provides a reference for the construction of offshore wind farms.


2004 ◽  
Vol 12 ◽  
pp. 227-232
Author(s):  
Susumu SHIMADA ◽  
Teruo OHSAWA ◽  
Kazuhito FUKAO ◽  
Atsushi HASHIMOTO ◽  
Tomokazu MURAKAMI ◽  
...  

2020 ◽  
Vol 20 (2) ◽  
pp. 143-153
Author(s):  
Nguyen Xuan Tung ◽  
Do Huy Cuong ◽  
Bui Thi Bao Anh ◽  
Nguyen Thi Nhan ◽  
Tran Quang Son

Since the East Vietnam Sea has an advantageous geographical location and rich natural resources, we can develop and manage islands and reefs in this region reasonably to declare national sovereignty. Based on 1096 scenes of QuikSCAT wind data of 2006–2009, wind power density at 10 m hight is calculated to evaluate wind energy resources of the East Vietnam Sea. With a combination of wind power density at 70 m hight calculated according to the power law of wind energy profile and reef flats extracted from 35 scenes of Landsat ETM+ images, installed wind power capacity of every island or reef is estimated to evaluate wind power generation of the East Vietnam Sea. We found that the wind power density ranges from levels 4–7, so that the wind energy can be well applied to wind power generation. The wind power density takes on a gradually increasing trend in seasons. Specifically, the wind power density is lower in spring and summer, whereas it is higher in autumn and winter. Among islands and reefs in the East Vietnam Sea, the installed wind power capacity of Hoang Sa archipelago is highest in general, the installed wind power capacity of Truong Sa archipelago is at the third level. The installed wind power capacity of Discovery Reef, Bombay Reef, Tree island, Lincoln island, Woody Island of Hoang Sa archipelago and Mariveles Reef, Ladd Reef, Petley Reef, Cornwallis South Reef of Truong Sa archipelago is relatively high, and wind power generation should be developed on these islands first.


Author(s):  
Do-Eun Choe ◽  
Gary Talor ◽  
Changkyu Kim

Abstract Floating offshore wind turbines hold great potential for future solutions to the growing demand for renewable energy production. Thereafter, the prediction of the offshore wind power generation became critical in locating and designing wind farms and turbines. The purpose of this research is to improve the prediction of the offshore wind power generation by the prediction of local wind speed using a Deep Learning technique. In this paper, the future local wind speed is predicted based on the historical weather data collected from National Oceanic and Atmospheric Administration. Then, the prediction of the wind power generation is performed using the traditional methods using the future wind speed data predicted using Deep Learning. The network layers are designed using both Long Short-Term Memory (LSTM) and Bi-directional LSTM (BLSTM), known to be effective on capturing long-term time-dependency. The selected networks are fine-tuned, trained using a part of the weather data, and tested using the other part of the data. To evaluate the performance of the networks, a parameter study has been performed to find the relationships among: length of the training data, prediction accuracy, and length of the future prediction that is reliable given desired prediction accuracy and the training size.


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