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Evaluating the effects of high penetrations of roof-top wind Turbines on secondary distribution circuits
(2006-12-01)
Incentives for using wind power and the increasing price of energy might generate in a relatively short time a scenario where low voltage customers opt to install roof-top wind turbines. This paper focuses on evaluating ...
Evaluating the effects of high penetrations of roof-top wind Turbines on secondary distribution circuits
(2006-12-01)
Incentives for using wind power and the increasing price of energy might generate in a relatively short time a scenario where low voltage customers opt to install roof-top wind turbines. This paper focuses on evaluating ...
Impact of Wind Speed Distortions on Chilean Power System Expansion Planning
(IEEE, 2019)
In this paper, we study investment decisions regarding power generation and transmission when considering wind speed distortions due to Climate Change. We use a Mixed-Integer Linear Program (MILP) model to analyze the ...
Reliability enhancement of the system with large amount of wind power integration
(IEEE, 2011)
The power output from wind farms is highly volatile, uncertain and hard to be predicted accurately. Then sometimes positive short-run correlation between variations of wind power output and load could bring more and larger ...
Wind power assessment in Uruguay
(Elsevier, 1996)
The wind power as a large alternative energy source appear in Uruguay. A nested method to obtain the mean wind velocity time series at complex terrain sites and describe the turbulence was developed. Sites with mean velocity ...
Offshore wind power simulation by using WRF in the central coast of Chile
(Elsevier, 2016)
This paper presents the first estimate of offshore wind power potential for the central coast of Chile. For this purpose, wind speed data from in-situ stations and ERA-Interim reanalysis were used to simulate wind fields ...
Two-stage robust UC including a novel scenario-based uncertainty model for wind power applications
(Elsevier, 2015)
The complex processes involved in the determination of the availability of power from renewable energy sources, such as wind power, impose great challenges in the forecasting processes carried out by transmission system ...
Predicting long-term wind speed in wind farms of northeast Brazil: A comparative analysis through machine learning models
(2020-11-01)
The rapid growth of wind generation in northeast Brazil has led to multiple benefits to many different stakeholders of energy industry, especially because the wind is a renewable resource - an abundant and ubiquitous power ...