Design and Implementation of Multiprocessing Hybrid System Controlled By ARM Processor

International Journal of Electrical and Electronics Engineering
© 2014 by SSRG - IJEEE Journal
Volume 1 Issue 8
Year of Publication : 2014
Authors : B.Prasanth, K.Karthik
pdf
How to Cite?

B.Prasanth, K.Karthik, "Design and Implementation of Multiprocessing Hybrid System Controlled By ARM Processor," SSRG International Journal of Electrical and Electronics Engineering, vol. 1,  no. 8, pp. 21-27 , 2014. Crossref, https://doi.org/10.14445/23488379/IJEEE-V1I8P105

Abstract:

 The Segmented Energy Storage management (SES) is the proposed solution of smoothing renewable power generation fluctuations. A SES based hybrid renewable power management system requires a suitable control strategy that can be effectively utilize the maximum power output and Battery State of Charge (SOC). The proposed system represents an efficiency of a renewable hybrid power system simulation analysis undertaken to improve the smoothing performance of BESS. The hybrid power generation and then smart grid proposes the effectiveness of the battery SOC control. The power control method is a reducing the hybrid output power fluctuations and regulating the battery SOC under the typical conditions is proposed. A real time based SES power allocation method and ARM controller also has proposed. All the above stated switching techniques are simulated using the MATLAB at a frequency of 10 kHz.

Keywords:

SES, SOC, PV, BESS, MATLAB.

References:

[1] Xiangjun Li,Senior ,Dong Hui and Xiaokan Lai Battery Energy Storage Station (BESS)-Based Smoothing Control of Photovoltaic(PV) and Wind Power Generation Fluctuations-2010.
[2] M.Swierczynski & R.Teodoresu & C.N.Rasmussen & P.Rodriguez & H.vikelgard Hierarchial control of vehicular fuel cell/battery hybrid powertrain.-2010.
[3] Liangfei Xu & Minggao Ouyang & Jianqiu Li & Jianfeng Hua Hierararchial control of vehicular fuel cell/battery hybrid power train.
[4] Yuanxiong Guo, Miao Pan Optimal Power Management of Residential Customers in the Smart Grid-2012.
[5] Katsuhisa Yoshimoto, Toshiya. Nanahara, Gentaro Koshimizu, Nonmember,and Yoshihsa Uchida, New Control Method for Regulating Stateof- Charge of a Battery in Hybrid Wind Power/Battery Energy Storage System-2006.
[6] Chad Abbey, Kai Strunz, and Geza Joos, A Knowledge-Based Approach for Control of Two- Level Energy Storage for WindEnergy Systems- 2009.
[7] Fengquan Zhou, Geza Joos, Chad Abbey, Student Member, IEEE, Lianwei Jiao, Boon Teck Ooi, IEEE Use of Large Capacity SMES to Improve the Power Quality and Stability of Wind Farms.
[8] Roberto Cárdenas, Rubén Pena, Greg Asher, Jon Clare, IEEE Power Smoothing in Wind Generation Systems Using a Sensorless Vector Controlled Induction Machine Driving a Flywheel-2004.
[9] Tatsuto Kinjo, Tomonobu Senjyu, Naomitsu Urasaki, Hideki Fujita Output Levelling of Renewable Energy by Electric Double-Layer Capacitor Applied for Energy Storage System-2006.
[10] S. M. Muyeen, Rion Takahashi, Mohd. Hasan Ali, Toshiaki Murata, Junji Tamura, -2008 Transient Stability Augmentation of Power System Including Wind Farms by Using ECS.
[11] S. M. Muyeen, Rion Takahashi, Toshiaki Murata,and Junji Tamura, Integration of an Energy Capacitor System With a Variable-Speed Wind Generator-2009.
[12] Hicham Fakham, Di Lu, and Bruno Francois, Power Control Design of a Battery Charger in a Hybrid Active PV Generator for Load-Following Applications-2011.
[13] J. Hua & X. LinJ. Li & M. Ouyang, “Power management strategy for vehicular-applied hybrid fuel cell/battery power system,”J. Power Sources, vol. 191, no. 2, pp. 542–549, Jun. 2009.
[14] X. Li, “Fuzzy adaptive Kalman filter for wind power output smoothing with battery energy storage system,” IET Renew. Power Generat., vol 1.6, no. 5, pp. 340–347, Sep. 2012.
[15] X. Li & Y.-J. Song &S.B.Han“Frequency control in micro-grid power system combined with electrolyzer system and fuzzy PI controller,” J. Power Sources, vol. 180, no. 1, pp. 468–475, May 2008.