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The status and prospect of wind power generation in China
Abstract
Wind power generation has developed fast in recent years, which not only alleviate the press of power energy, but also give the promotion of sustainable development for environment. China is rich in wind energy resources. The development of wind power in china has made marked progress, although there are some problems. This paper elaborates the importance of the development of wind power; provides an overview of the status of wind power generation in China and gives some suggestions for the future development.
This research offers an innovative approach to the analysis of wind turbine operation behaviors through the use of clustering algorithms. Fundamental steps of data preprocessing were undertaken, including comprehensive data cleaning and feature selection from an open-source wind energy dataset. A comparative study of numerous clustering algorithms was then conducted, with the findings indicating that hierarchical clustering provides an optimal method for extracting wind turbine behavior patterns across diverse time dimensions. This analysis not only facilitated a deeper understanding of wind turbine operational behaviors, but also allowed the identification of similar turbines across various temporal scales. In the final stage of the study, K-means clustering was utilized to identify outliers, which enabled the prediction of abnormal operational behaviors. The methodology proposed in this paper delivers a valuable clustering analysis technique for wind energy data, and provides significant insights for future data processing and anomaly prediction in wind turbine operations.
In order to improve the accuracy of wind power prediction and ensure the effective utilization of wind energy, a short-term wind power prediction model based on variational mode decomposition (VMD) and an extreme learning machine (ELM) optimized by an improved grey wolf optimization (GWO) algorithm is proposed. The original wind power sequence is decomposed into series of modal components with different center frequencies by the VMD method and some new sequences are obtained by phase space reconstruction (PSR). Then, the ELM model is established for different new time series, and the improved GWO algorithm is used to optimize its parameters. Finally, the output results are weighted and merged as the final predicted value of wind power. The root-mean-square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) of the proposed VMD-improved GWO-ELM prediction model in the paper are 5.9113%, 4.6219%, and 13.01% respectively, which are better than these of ELM, back propagation (BP), and the improved GWO-ELM model. The simulation results show that the proposed model has higher prediction accuracy than other models in short-term wind power prediction.
To overcome the inherent defects in wind-solar hybrid system: power generation and electricity load's imbalance because of uncertainty of resources. this article aiming at XJ Group's project design of wind-solar hybrid power supply system, by way of pumped-storage to replace the battery of wind-solar hybrid power supply system, this method can effectively overcome above problems. Wind-solar and pumped-storage hybrid power supply system can reasonable configuration system capacity according to the user's electricity load and resource condition, can ensure system reliability of power supply and reduce the cost of power generation system. Wind-solar and pumped-storage hybrid power supply system greatly suited for plain and the of southern China region with relatively adequate wind energy and solar energy, establish the power system in this region will obtain a very good economic benefits and social effects of energy conservation.
The environmental impact of wind power plants over their life cycle is divided into three stages: construction period, operation period and retired period. The impact is mainly reflected in ecological destruction, noise pollution, water pollution and the effect on bird migration. In response to these environmental effects, suggesting reasonable locations, reducing plant footprint, optimizing construction programs, shielding noise, preventing pollution of terrestrial ecosystems, implementing combined optical and acoustical early warning signals, making synthesized use of power generation equipment in the post-retired period and using other specific measures, including methods involving governance and protection efforts to reduce environmental pollution, can be performed to achieve sustainable development.
Policies and laws encouraging the development of renewable energy systems in China have led to rapid progress in the past 2 years, particularly in the solar cell (photovoltaic) industry. The development of the photovoltaic (PV) and wind power markets in China is outlined in this paper, with emphasis on the utilization of lead-acid batteries. The storage battery is a key component of PV/wind power systems, yet many deficiencies remain to be resolved. Some experimental results are presented, along with examples of potential applications of valve regulated lead-acid (VRLA) batteries, both the absorbed glass mat (AGM) and gelled types.
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