scholarly journals PMSM Wind Farm Aggregation Algorithm Based on Power Equivalence Principle

2021 ◽  
Vol 9 ◽  
Author(s):  
Haoshu Shao ◽  
Xu Cai ◽  
Heming Yan ◽  
Jiapei Zhou ◽  
Yao Qin ◽  
...  

With the continuing increase of offshore wind farm power scale, it is urgent to propose a simplified wind farm model, which aggregates the entire wind farm into single or several aggregated wind turbine generators (WTGs), aiming to save computing resources and improve simulation speed. A novel aggregation algorithm that considers the power loss of offshore submarine cable is proposed, which is different from the traditional wind farm modeling method that adopts amplifying transformer as aggregation medium. Moreover, multi machine aggregation (MMA) algorithm is furtherly proposed to improve the aggregation accuracy. Simulation results verify that the proposed aggregation method can present the dynamic characteristics of wind farm with high accuracy, and can be popularized for other types of wind farm.

2008 ◽  
Vol 2008 (1) ◽  
pp. 571-579 ◽  
Author(s):  
Dagmar Schmidt Etkin

ABSTRACT The oil spill risk associated with an offshore wind farm was analyzed. This paper describes the methodology employed to determine the probability that a spill would occur, as well as the size probability distribution of potential spills, including worst-case discharge scenarios from the facility. Spills from vessels transiting surrounding waters due to collisions, allisions, and groundings were also evaluated. The analysis involved: evaluating events that might cause damage to the electric service platform (ESP) and wind turbine generators (WTG) components of the wind farm; analysis of the probability of each of these events occurring; analysis of the probability that these events cause damage to the ESP/WTGs; and estimation of the probability of the events causing damage sufficient to cause an oil spill. Data were aggregated for all spill causes to determine the overall probability distribution function of spill volumes. Probability size distributions for all spill causes were coupled with the probability of spill occurrence to provide an overall function to predict the probability of a particular spill of a certain volume occurring over 5, 10, and 30 years.


2017 ◽  
Vol 2017 (13) ◽  
pp. 702-707 ◽  
Author(s):  
Hongliang Zhang ◽  
Jianmin Zhang ◽  
Lewis Duan ◽  
Shuhong Xie ◽  
Jianlin Xue

Author(s):  
Hwang-Jin Ryu ◽  
◽  
Sang-Ho Kim ◽  
Chul-Hui Kwoun ◽  
Kwang-Woo Cho ◽  
...  

Energy ◽  
2011 ◽  
Vol 36 (11) ◽  
pp. 6387-6397 ◽  
Author(s):  
E. Pican ◽  
E. Omerdic ◽  
D. Toal ◽  
M. Leahy

Author(s):  
Ana Beatriz Gomes Zanforlin ◽  
Adriana Miralles Schleder ◽  
Marcelo Ramos Martins

A lot has been researched recently in order to enable economically feasible use of offshore wind energy. Although these figures have been falling, offshore wind energy generation has in average still much higher costs associated with the inherent drawbacks of installing and operating assets at the sea’s hostile environment. As much of these costs are related to unplanned maintenance tasks, one promising approach to make wind energy more competitive is to optimize the resources involved in it. This paper was developed with the purpose of analyzing the viability of an algorithm that offers valuable information when defining a maintenance strategy for the operation of an offshore wind farm, aiming at the availability and the expected profit optimization, with a different approach than usual. Initially, an algorithm to conduct a reliability, availability and maintainability (RAM) analysis was created based on a Monte Carlo Simulation (MCS). Given a simplified wind farm model, as well as its components’ failure data and configuration, it is possible to obtain its availability and energy production costs. The algorithm was validated by comparing known failure data with the stochastically obtained after running the algorithm. A case study was defined based on extensive literature research and the simulation was executed considering restrictions typically found in modern wind farms. A sensitivity analysis was conducted in order to understand how each model’s parameter affects the energy production costs. Given this analysis, it was possible to determine the most relevant optimization variables when creating a maintenance strategy. Following, an algorithm for optimizing those parameters is presented.


2020 ◽  
Vol 56 (2) ◽  
pp. 1171-1179
Author(s):  
Li Wang ◽  
Bing-Lin Kuan ◽  
Chien-Hsiang Yu ◽  
Hong-Yi Wu ◽  
Shi-Ying Zeng ◽  
...  

2019 ◽  
Vol 9 (9) ◽  
pp. 1911
Author(s):  
Yuan-Kang Wu ◽  
Wen-Chin Wu ◽  
Jyun-Jie Zeng

Offshore wind farms will have larger capacities in the future than they do today. Thus, the costs that are associated with the installation of wind turbines and the connection of power grids will be much higher, thus the location of wind turbines and the design of internal cable connections will be even more important. A large wind farm comprises of hundreds of wind turbines. Modeling each using a complex model leads to long simulation times—especially in transient response analyses. Therefore, in the future, simulations of power systems with a high wind power penetration must apply the equivalent wind-farm model to reduce the burden of calculation. This investigation examines significant issues around the optimal design of a modern offshore wind farm layout and its equivalent model. According to a review of the literature, the wake effect and its modeling, layout optimization technologies, cable connection design, and wind farm reliability, are significant issues in offshore wind farm design. This investigation will summarize these important issues and present a list of factors that strongly influence the design of an offshore wind farm.


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