An Effective Scheduling Strategy for Hybrid Wind-Energy Storage System Considering Uncertainty and Robust Optimization

Author(s):  
Nan Li ◽  
Liling Huang ◽  
Xiangcheng Zhang ◽  
Xue Ma ◽  
Haining Zhang ◽  
...  
2011 ◽  
Vol 187 ◽  
pp. 97-102 ◽  
Author(s):  
Liang Liang ◽  
Jian Lin Li ◽  
Dong Hui

Recently, more and more people realize the importance of environment protection. Electric power generation systems using renewable energy sources have an advantage of no greenhouse effect gas emission. Among all the choices, wind power can offer an economic and environmentally friendly alternative to conventional methods of power supply. As a result, wind energy generation, utilization and its grid penetration in electrical grid is increasing world wide. The wind generated power is always fluctuating due to its time varying nature and causing stability problem. Inserting energy storage system into large scale wind farm to eliminate the fluctuation becomes a solution for developing large scale renewable energy system connected with grid. The topology diagram and control strategy are presented in this paper. According to the simulation result, it could be indicated that embedding energy storage system into wind power system could improve the access friendly and extend system functions. This paper shows that integrating energy storage system into wind power system will build a more reliable and flexible system for power grid.


2014 ◽  
Vol 705 ◽  
pp. 278-283
Author(s):  
Cong Ying Han ◽  
Rui Yuan Kong ◽  
Tian De Guo ◽  
Wei Pei

Wind energy is now widely used in many countries as a clean energy. In order to make better use of wind energy, we need to study various factors affecting the utilization of wind energy. If we can better predict the wind, we can make full use of wind energy. Where, combing an energy storage system with a wind farm is an effective way to mitigate fluctuations and improve the predictability of wind power. Energy storage sizing has been an important part in wind farm planning. This paper presents an optimization model for determining the capacity of a lead-acid battery integrated with a wind farm. The energy storage capacity calculated in the model gives the lowest cost and has a significant impact on remedying the prediction error. Besides, the charge and discharge operation can also be displayed in our model.


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