Comparative analysis of methods for modelling the short-term probability distribution of extreme wind turbine loads

Wind Energy ◽  
2015 ◽  
Vol 19 (4) ◽  
pp. 717-737 ◽  
Author(s):  
Nikolay Dimitrov
Keyword(s):  
Comparative Analysis ◽  
Probability Distribution ◽  
Wind Turbine ◽  
Short Term ◽  
Extreme Wind

Short-term Load Forecasting by Using Improved GEP and Abnormal Load Recognition

2021 ◽  
Vol 21 (4) ◽  
pp. 1-28
Author(s):  
Song Deng ◽  
Fulin Chen ◽  
Xia Dong ◽  
Guangwei Gao ◽  
Xindong Wu
Keyword(s):  
Gene Expression ◽  
Probability Distribution ◽  
Detection Rate ◽  
Cross Validation ◽  
Normal Load ◽  
Gene Expression Programming ◽  
Load Forecasting ◽  
Short Term ◽  
Forecasting Models ◽  
Short Term Load Forecasting

Load forecasting in short term is very important to economic dispatch and safety assessment of power system. Although existing load forecasting in short-term algorithms have reached required forecast accuracy, most of the forecasting models are black boxes and cannot be constructed to display mathematical models. At the same time, because of the abnormal load caused by the failure of the load data collection device, time synchronization, and malicious tampering, the accuracy of the existing load forecasting models is greatly reduced. To address these problems, this article proposes a Short-Term Load Forecasting algorithm by using Improved Gene Expression Programming and Abnormal Load Recognition (STLF-IGEP_ALR). First, the Recognition algorithm of Abnormal Load based on Probability Distribution and Cross Validation is proposed. By analyzing the probability distribution of rows and columns in load data, and using the probability distribution of rows and columns for cross-validation, misjudgment of normal load in abnormal load data can be better solved. Second, by designing strategies for adaptive generation of population parameters, individual evolution of populations and dynamic adjustment of genetic operation probability, an Improved Gene Expression Programming based on Evolutionary Parameter Optimization is proposed. Finally, the experimental results on two real load datasets and one open load dataset show that compared with the existing abnormal data detection algorithms, the algorithm proposed in this article have higher advantages in missing detection rate, false detection rate and precision rate, and STLF-IGEP_ALR is superior to other short-term load forecasting algorithms in terms of the convergence speed, MAE, MAPE, RSME, and R 2 .

scholarly journals Aerodynamic-Efficiency-Constrained Short-Term Frequency Support Control of Wind Turbine Generators

2020 ◽  
Vol 53 (2) ◽  
pp. 12115-12120
Author(s):  
Zhengyang Zhang ◽  
Zaiyu Chen ◽  
Guoqiang Yu ◽  
Tianhai Zhang ◽  
Minghui Yin ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Short Term ◽  
Aerodynamic Efficiency ◽  
Term Frequency ◽  
Turbine Generators ◽  
Wind Turbine Generators

scholarly journals Comparative Analysis of Existing Tools for Assessment of Post-Earthquake Short-Term Lodging Needs

2016 ◽  
Vol 161 ◽  
pp. 2217-2221 ◽  
Author(s):  
Annibale Vecere ◽  
Ricardo Monteiro ◽  
Walter J. Ammann
Keyword(s):  
Comparative Analysis ◽  
Short Term

Wind Turbine Aerodynamic Braking System Analysis Using Chord Wise Spacing

2015 ◽  
Vol 787 ◽  
pp. 217-221 ◽  
Author(s):  
B. Navin Kumar ◽  
K.M. Parammasivam
Keyword(s):  
Renewable Energy ◽  
Wind Turbine ◽  
Wind Velocity ◽  
Turbine Blade ◽  
Wind Turbines ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Braking System ◽  
Extreme Wind ◽  
Wind Potential

Wind energy is one of the most significant renewable energy sources in the world. It is the only promising renewable energy resource that only can satisfy the nation’s energy requirements over the growing demand for electricity. Wind turbines have been installed all over the wind potential areas to generate electricity. The wind turbines are designed to operate at a rated wind velocity. When the wind turbines are exposed to extreme wind velocities such as storm or hurricane, the wind turbine rotates at a higher speed that affects the structural stability of the entire system and may topple the system. Mechanical braking systems and Aerodynamic braking systems have been currently used to control the over speeding of the wind turbine at extreme wind velocity. As a novel approach, it is attempted to control the over speeding of the wind turbine by aerodynamic braking system by providing the chord wise spacing (opening). The turbine blade with chord wise spacing alters the pressure distribution over the turbine blade that brings down the rotational speed of the wind turbine within the allowable limit. In this approach, the over speeding of the wind turbine blades are effectively controlled without affecting the power production. In this paper the different parameters of the chord wise spacing such as position of the spacing, shape of the spacing, width of the spacing and impact on power generation are analyzed and the spacing parameters are experimentally optimized.

Stochastic Analysis of Short-Term Structural Responses and Fatigue Damages of A Submerged Tension Leg Platform Wind Turbine in Wind and Waves

2021 ◽  
Vol 35 (4) ◽  
pp. 566-577
Author(s):  
Yan-qing Han ◽  
Cong-huan Le ◽  
Pu-yang Zhang ◽  
Li Dang ◽  
Qing-lai Fan
Keyword(s):  
Wind Turbine ◽  
Stochastic Analysis ◽  
Short Term ◽  
Tension Leg Platform ◽  
Structural Responses

Conditions for the Introduction of Regulation for Short-Term Rentals

2021 ◽  
Vol 8 (1) ◽  
pp. 159-170
Author(s):  
Vilim Brezina ◽  
◽  
Jan Polívka ◽  
Martin Stark ◽  
◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Housing Market ◽  
Housing Stock ◽  
Qualitative Comparative Analysis ◽  
Short Term ◽  
Market Conditions ◽  
Qualitative And Quantitative ◽  
Market Situation ◽  
Necessary And Sufficient ◽  
German Cities

Most cities in major agglomerations in Europe started to address the rise of short-term accommodation rentals by introducing regulation designed to protect the local housing stock. The momentum behind the widespread introduction of such regulations can be attributed to qualitative and quantitative factors. This article examines selected fields related to short-term rentals in order to uncover the (structural) triggers or conditions that are necessary and sufficient for municipalities to initiate the regulation of their housing market. The study is based on the systematic examination of the effects of those triggers and their combinations using qualitative comparative analysis (QCA). With this method, we explore the implementation or non-implementation of regulation on a sample of major German cities. The results suggest a universal set of conditions covering three central fields: housing market situation, accommodation market conditions and tourism accommodation demand.

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