The study on wave characteristics of wind power under multi-time scale

2016 ◽  
Author(s):  
Yan Huan ◽  
Yi-Yang Zhang ◽  
Xiao-Qing Zhang ◽  
Zhi-Hua Zhang
Keyword(s):  
Wind Power ◽  
Time Scale ◽  
Wave Characteristics

An Online Rolling Dispatch Optimization Strategy for the Access of Intermittent New Energy

2014 ◽  
Vol 672-674 ◽  
pp. 190-194
Author(s):  
Jian Bo Wang ◽  
Wen Ying Liu ◽  
Wei Zhou Wang ◽  
Fu Chao Liu ◽  
Xi Wei Jiang
Keyword(s):  
Wind Power ◽  
Predictive Control ◽  
Time Scale ◽  
Control Method ◽  
Hierarchical Control ◽  
Active Power ◽  
Optimization Strategy ◽  
Industrial Control ◽  
Power Dispatch ◽  
New Energy

For the volatility and intermittency of intermittent new energy like wind power, traditional dispatch model and technology are severely challenged. According to the characteristics that the prediction accuracy of wind power increases as time scale increases, this paper presents a multi-time scale active power dispatch model based on the traditional dispatch model, and proposes an active power dispatch hierarchical predicting control method on the base of model predictive control and multilevel hierarchical control during industrial control course. Finally, it gets the online rolling dispatch model and strategy for the access of intermittent energy.

scholarly journals On the correlation of spatial wind speed and solar irradiance variability above the North Sea

2016 ◽  
Vol 13 ◽  
pp. 57-61 ◽  
Author(s):  
Anna Rieke Mehrens ◽  
Lueder von Bremen
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
North Sea ◽  
Time Scale ◽  
Solar Irradiance ◽  
High Wind ◽  
Cold Air ◽  
Wind Variability ◽  
The North ◽  
The North Sea

Abstract. Mesoscale wind fluctuations on a time scale of tens of minutes to several hours lead to high wind power fluctuations. Enhanced mesoscale wind variability emerges during cold air outbreaks and resulting cellular convection. The study investigates spatial wind and solar variability and their correlation during cellular convection. Cellular convection leads to simultaneous high solar and wind variability, but the highest solar or wind variability occurs due to other meteorological phenomena.

scholarly journals A PSO-LSTM Model of Offshore Wind Power Forecast considering the Variation of Wind Speed in Second-Level Time Scale

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Chao Yuan ◽  
Yiming Tang ◽  
Rui Mei ◽  
Fei Mo ◽  
Hong Wang
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Time Scale ◽  
Forecast Model ◽  
Offshore Wind ◽  
Offshore Wind Power ◽  
Wind Speed Prediction ◽  
Wind Power Forecast ◽  
Speed Prediction ◽  
Power Sequence

To enable power generation companies to make full use of effective wind energy resources and grid companies to correctly schedule wind power, this paper proposes a model of offshore wind power forecast considering the variation of wind speed in second-level time scale. First, data preprocessing is utilized to process the abnormal data and complete the normalization of offshore wind speed and wind power. Then, a wind speed prediction model is established in the second time scale through the differential smoothing power sequence. Finally, a rolling PSO-LSTM memory network is authorized to realize the prediction of second-level time scale wind speed and power. An offshore wind power case is utilized to illustrate and characterize the performance of the wind power forecast model.

scholarly journals Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2124 ◽  
Author(s):  
Li Han ◽  
Rongchang Zhang ◽  
Xuesong Wang ◽  
Yu Dong
Keyword(s):  
Power System ◽  
Real Time ◽  
Wind Power ◽  
Power Unit ◽  
Time Scale ◽  
Forecast Error ◽  
Thermal Power ◽  
Time Error ◽  
The Real ◽  
The Impact

This paper looks at the ability to cope with the uncertainty of wind power and reduce the impact of wind power forecast error (WPFE) on the operation and dispatch of power system. Therefore, several factors which are related to WPFE will be studied. By statistical analysis of the historical data, an indicator of real-time error based on these factors is obtained to estimate WPFE. Based on the real-time estimation of WPFE, a multi-time scale rolling dispatch model for wind/storage power system is established. In the real-time error compensation section of this model, the previous dispatch plan of thermal power unit is revised according to the estimation of WPFE. As the regulating capacity of thermal power unit within a short time period is limited, the estimation of WPFE is further compensated by using battery energy storage system. This can not only decrease the risk caused by the wind power uncertainty and lessen wind spillage, but also reduce the total cost. Thereby providing a new method to describe and model wind power uncertainty, and providing economic, safe and energy-saving dispatch plan for power system. The analysis in case study verifies the effectiveness of the proposed model.

Multiple Time-Scale Collaborative Optimal Dispatch Methods for Electric Vehicles and Wind Power

2014 ◽  
Vol 472 ◽  
pp. 958-964 ◽  
Author(s):  
Yi Sun ◽  
Xue Liang Huang ◽  
Zhong Chen ◽  
Hao Qiang ◽  
Qi Dong Zhang
Keyword(s):  
Greenhouse Gas ◽  
Electric Vehicle ◽  
Wind Power ◽  
Electric Vehicles ◽  
Time Scale ◽  
Power Plants ◽  
Greenhouse Gas Emission ◽  
Multiple Time ◽  
Multiple Time Scale ◽  
Optimal Dispatch

Renewable energy, especially wind power has the characteristic of fluctuation. Improving its capacity integrated into grid is a difficult task. Electric vehicle which has few greenhouse gas emissions is developing rapidly. But it will be noneffective to reduce greenhouse gas emission if using traditional energy to charge electric vehicles. Taking into account the synergies between electric vehicle and wind power, the multiple time-scale optimal dispatch methods were proposed based on traditional day-ahead generation schedule. The effects of optimal dispatch on reducing abandoned wind power, leveling power plants output were studied in IEEE 24-bus system. It is concluded that with large amounts of EVs connected into grid, the multiple time-scale optimal dispatch methods for electric vehicles and wind power contribute to realizing clean charge and improving wind power utilization.

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