A preliminary dynamic behaviors analysis of a hybrid energy storage system based on adiabatic compressed air energy storage and flywheel energy storage system for wind power application

Integrating energy storage system into wind system can mitigate the negative effects caused by the intermittent wind. In addition, the spectrum analysis of wind power implies that the hybrid energy storage system may have better performance on smoothing out the wind power fluctuations than the independent energy storage system. The main advantage of the hybrid energy storage system is the multi-response speeds. Also, the hybrid energy storage system often operates in the modes switch, partial load and frequent start/stop conditions. Thus, the dynamic behaviors of each devices and the assembly of hybrid energy storage system are important for the system operation and control system design. The design, off-design analysis and parametric analysis of a wind-hybrid energy storage system consisting an A-CAES (adiabatic compressed air energy storage) system and a FESS (flywheel energy storage system) based on spectrum analysis method are carried out in the previous paper (P Zhao et al., 2014). This paper will conduct a preliminary dynamic behaviors analysis of the proposed wind-hybrid energy storage system based on the dynamic models. The simulation results indicate that the total power of wind-hybrid energy storage system can fit the load requirement well, providing an efficient power management for wind power penetration.

[1]  Luis M. Fernández,et al.  Improving long-term operation of power sources in off-grid hybrid systems based on renewable energy, hydrogen and battery , 2014 .

[2]  A. Foley,et al.  Impacts of compressed air energy storage plant on an electricity market with a large renewable energy portfolio , 2013 .

[3]  Andrey V. Savkin,et al.  Minimization and control of battery energy storage for wind power smoothing: Aggregated, distributed and semi-distributed storage , 2014 .

[4]  Siddhartha Kumar Khaitan,et al.  Modeling and simulation of compressed air storage in caverns: A case study of the Huntorf plant , 2012 .

[5]  Hongjie Jia,et al.  A statistical model to determine the capacity of battery–supercapacitor hybrid energy storage system in autonomous microgrid , 2014 .

[6]  Charis S. Demoulias,et al.  A combined fault ride-through and power smoothing control method for full-converter wind turbines employing Supercapacitor Energy Storage System , 2014 .

[7]  Peter Hall,et al.  Energy-storage technologies and electricity generation , 2008 .

[8]  Yousef S.H. Najjar,et al.  Power augmentation with CAES (compressed air energy storage) by air injection or supercharging makes environment greener , 2012 .

[9]  Siddhartha Kumar Khaitan,et al.  Dynamic simulation of air storage–based gas turbine plants , 2013 .

[10]  David Gordon Wilson,et al.  Models for predicting the performance of Brayton-cycle engines , 1994 .

[11]  Luis M. Fernández,et al.  Equivalent models of wind farms by using aggregated wind turbines and equivalent winds , 2009 .

[12]  Sergio Faias,et al.  Impact of a price-maker pumped storage hydro unit on the integration of wind energy in power systems , 2014 .

[13]  Hany M. Hasanien,et al.  Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMES , 2014 .

[14]  Andreas Sumper,et al.  Energy management of flywheel-based energy storage device for wind power smoothing , 2013 .

[15]  Dan Gao,et al.  An integrated energy storage system based on hydrogen storage: Process configuration and case studies with wind power , 2014 .

[16]  J. Adams,et al.  Mathematical Modeling of Once-Through Boiler Dynamics , 1965 .

[17]  Andreas Sumper,et al.  A review of energy storage technologies for wind power applications , 2012 .

[18]  Jay Apt,et al.  The spectrum of power from wind turbines , 2007 .

[19]  Yiping Dai,et al.  Design and thermodynamic analysis of a hybrid energy storage system based on A-CAES (adiabatic compressed air energy storage) and FESS (flywheel energy storage system) for wind power application , 2014 .

[20]  George N. Prodromidis,et al.  Simulations of economical and technical feasibility of battery and flywheel hybrid energy storage systems in autonomous projects , 2012 .

[21]  M. Enns Comparison of Dynamic Models of a Superheater , 1962 .