Nonlinear differential flatness control of distributed photovoltaic-energy storage DC generation system

被引：0
|
作者：
Xue H. [1 ]
Li H. [1 ]
Wang Y. [1 ]
机构：
[1] School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai
来源：
Li, Haixia (497011934@qq.com) | 1600年 / Automation of Electric Power Systems Press卷 / 40期
基金：
中国国家自然科学基金; 上海市自然科学基金;
关键词：
Differential flatness control; Direct current (DC) generation system; Four-phase parallel converters; Improved extremum seeking algorithm;
D O I：
10.7500/AEPS20151120004
中图分类号：
学科分类号：
摘要：
As the traditional converters in distributed photovoltaic-energy storage direct current (DC) generation system will be limited when the power increases or is at higher step-up ratios, four-phase parallel converters are adopted in the proposed system, which can broaden the range of output voltage and suppress oscillation of photovoltaic output voltage. For photovoltaic four-phase parallel boost converters, an improved extremum seeking algorithm is designed to achieve maximun power point tracing and improve the system rapidity and stability in light step change. For energy storage four-phase parallel bidirectional converters, a novel nonlinear control law based on the flatness principle is proposed, which is a simple solution to smooth the output power and stabilize the system with a load mutation or control parameter perturbation. Compared with the conventional proportional-integral control method, the nonlinear differential flatness control algorithm has broader degrees of freedom, fewer steady-state errors and better system stability as proved by simulation and experimental results. © 2016 Automation of Electric Power Systems Press.
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页码：102 / 108and115
相关论文
共 21 条
  • [1] Messo T., Jokipii J., Puukko J., Et al., Determining the value of DC-link capacitance to ensure stable operation of a three-phase photovoltaic inverter, IEEE Trans on Power Electronics, 29, 2, pp. 665-673, (2014)
  • [2] Chen G., Yuan Y., Fu Z., Application of storage battery to restrain the photovoltaic power fluctuation, Proceedings of the CSU-EPSA, 26, 2, pp. 27-32, (2014)
  • [3] Na W., Park T., Kim T., Light fuel-cell hybrid electric vehicles based on predictive controllers, IEEE Trans on Vehicular Technology, 60, 1, pp. 89-97, (2011)
  • [4] Li P., Xin P., Dou P., Et al., Power coordinated control of photovoltaic/energy-storage system in microgrid under photovoltaic maximum power point tracking condition, Automation of Electric Power Systems, 38, 4, pp. 8-13, (2014)
  • [5] Zhang K., Shi J., Lin J., Et al., Maximum power point tracking method for photovoltaic systems using adaptive extremum seeking control based on sliding layer, Automation of Electric Power Systems, 39, 12, pp. 33-37, (2015)
  • [6] Zhou F., Jin X., Yao X., Et al., Efficiency analysis and experimental study of three-phase voltage source ZCT PWM converters, Proceedings of the CSEE, 34, 18, pp. 2863-2872, (2014)
  • [7] Thounthong P., Control of a three-level boost converter based on a differential flatness approach for fuel cell vehicle applications, IEEE Trans on Vehicular Technology, 61, 3, pp. 1467-1472, (2012)
  • [8] Maki A., Valkealahti S., Effect of photovoltaic generator components on the number of MPPs under partial shading conditions, IEEE Trans on Energy Conversion, 28, 4, pp. 1008-1017, (2013)
  • [9] Xie L., Gong R., Li J., Analysis of the dynamical characteristics of the interleaved boost converter in maximum power point tracking for photovoltaic power, Proceedings of the CSEE, 33, 6, pp. 38-45, (2013)
  • [10] Hsieh Y.C., Hsueh T.C., Yen H.C., An interleaved boost converter with zero-voltage transition, IEEE Trans on Power Electronics, 24, 4, pp. 973-978, (2009)
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