|
|
|
| Adaptive Control Strategy for Optimum Transient Response of Energy Storage Supercapacitor |
| Chen Wei1, Ye Shaoshi2, Liu Dong1 |
1. Zhejiang Insigma United Engineering Co., Ltd, Hangzhou 310051;
2. Nokia Networks, Hangzhou 310053 |
|
|
|
|
Abstract Supercapacitor is utilized to provide fast dynamic response for the energy storage system in micro grid application, which requires the output transient response ought to be identical to ease the design of downstream load by decrease the dependence of electrical spec matching. To fulfill that requirement, this paper proposes a novel adaptive control strategy aiming at having the same transient response for the output of the converter. The most suitable control parameters are calculated under different operation conditions based on the step response characteristic, which is through the modeling of the system and under the safety of stable operation. The MCU can online select the proper combinations of control parameters corresponding to the condition that the converter is currently working under with, to maintain a same output transient response under all conditions. The detail operation principles, as well as the design considerations, were presented. A prototype was built to verify the validity and applicability of this proposed adaptive control strategy, thus proves its engineering value for industrial practice.
|
|
Published: 22 January 2018
|
|
|
|
| Cite this article: |
|
Chen Wei,Ye Shaoshi,Liu Dong. Adaptive Control Strategy for Optimum Transient Response of Energy Storage Supercapacitor[J]. Electrical Engineering, 2017, 18(12): 90-94.
|
|
|
|
| URL: |
|
https://dqjs.cesmedia.cn/EN/Y2017/V18/I12/90
|
[1] 周林, 黄勇, 郭珂. 微电网储能技术研究综述[J]. 电力系统保护与控制, 2011, 39(7): 147-152.
[2] 张明, 朴政国. 含储能的分布式光伏并网系统对配电网调峰的研究[J]. 电气技术, 2016, 17(12): 11-14, 19.
[3] 韩腾飞, 杨明发. 基于双模MPPT控制的光伏充电设计[J]. 电气技术, 2017, 10(4): 49-55.
[4] 马丽洁, 廖文江, 高宗余. 城轨列车车载超级电容储能控制策略研究[J]. 电工技术学报, 2015, 30(S1): 63-68.
[5] 徐从启, 贾桂芝, 李祖贤, 等. 考虑多能量流的光柴储独立微电网协调控制[J]. 电气技术, 2017, 18(4): 61-65.
[6] 李武华, 徐驰, 禹红斌, 等. 直流微网系统中混合储能分频协调控制策略[J]. 电工技术学报, 2016, 31(14): 84-92.
[7] 程志江, 李永东, 谢永流, 等. 带超级电容的光伏发电微网系统混合储能控制策略[J]. 电网技术, 2015, 39(10): 2739-2745.
[8] 赵亚杰, 夏欢, 王俊兴, 等. 基于动态阈值调节的城轨交通超级电容储能系统控制策略研究[J]. 电工技术学报, 2015, 30(14): 427-433.
[9] Jing W, Lai C H, Wong S H W, et al. Battery- supercapacitor hybrid energy storage system in standalone DC microgrids: areview[J]. IET Renewable Power Generation, 2016, 11(4): 461-469.
[10] Leyva-Ramos J, Morales-Saldana J A. A design criteria for the current gain in current-programmed regulators[J]. IEEE Transactions on Industrial Electronics, 1998, 45(4): 568-573.
[11] Erickson R W, Maksimovic D. Fundamentals of Power Electronics 2nd ed[M]. US: Springer, 2001. |
|
|
|
2017, Vol. 18 
