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光伏系统的最大功率点跟踪方法可以最大限度地利用光伏电池所能产生的电能,因此成为提高光伏发电系统运行效率、降低光伏电能成本的研究热点。针对目前常用的扰动观察法速度较慢、电导增量法在最大功率点附近有较大振荡的问题,提出一种改进变步长电导增量的最大功率点跟踪控制方法,该方法既具有电导增量法快速跟踪的优点,又能准确、稳定地跟踪到最大功率点,因此更适于提高光伏电源的能源利用率。对所提方法进行了仿真分析,并比较了几种MPPT算法的跟踪效果,结果表明,所提方法具有快速性、稳定性和有效性。 相似文献
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太阳能发电系统的最大功率跟踪控制 总被引:5,自引:0,他引:5
描述了太阳能发电系统中一种谐振型DC-DC变换器的原理和控制方法,讨论了用采样和保持电路、时滞双稳态等控制电路进行最佳工作点控制的实验结果,表明该装置可以跟踪照度进行工作点控制。 相似文献
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本文介绍了太阳跟踪系统的控制原理、控制算法和系统硬件组成,并重点介绍了控制电路的结构和原理,给出了软件的设计思路及主要的程序流程图.同时,在考虑当地的气象基础上设计一种跟踪精度高、结构简单、控制可靠的太阳能跟踪系统.实验结果表明,在太阳辐射强度、环境温度变化时,系统仍能准确地跟踪到太阳能电池的最大功率点,从而有效提高了... 相似文献
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太阳能光伏发电最大功率跟踪控制器的研究 总被引:1,自引:1,他引:0
针对目前太阳能发电系统效率低、铅酸蓄电池使用寿命短等问题,利用微控制器MC9S08QG8设计一种太阳能控制器。该控制器采用升降压式DC/DC转换电路、利用电压扰动法实现最大功率点跟踪,使太阳能电池始终保持最大功率输出;控制器还能实时测量蓄电池的端电压,对蓄电池进行充放电保护。该控制器软硬件结合、可靠性高,提高了太阳能发电系统的效率,延长了蓄电池的使用寿命。 相似文献
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Tingzhen Ming Fanlong Meng Wei Liu Yuan Pan Renaud Kiesgen de Richter 《国际能源研究杂志》2013,37(13):1657-1668
Severe fluctuation of the output power is a common problem in the generating systems of various renewable energies. The concept of output power fluctuation factor of renewable energy power generating systems was put forward in this paper. Aiming to decrease the fluctuation factor of output power in solar chimney power generating systems (SC), a novel hybrid energy storage system made of water, and sandstone was employed to replace the traditional sandstone energy storage system. The mathematical models of fluid flow, heat transfer and power generating features of SC were established and the influences of material, depth, areas and location of the energy storage layer upon output power were analyzed. The simulation results indicated that adopting the hybrid energy storage of water and sandstone can effectively decrease the fluctuation factor of SC output power and hence smooth the SC output power. In addition, according to the largest daily power generating capability or the smallest peak fluctuation factor, the corresponding optimum depth of the water energy storage layer would be 5 cm or 20 cm, respectively. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
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This paper proposes maximum photovoltaic power tracking (MPPT) for the photovoltaic (PV) array using the fractional-order incremental conductance method (FOICM). Since the PV array has low conversion efficiency, and the output power of PV array depends on the operation environments, such as various solar radiation, environment temperature, and weather conditions. Maximum charging power can be increased to a battery using a MPPT algorithm. The energy conversion of the absorbed solar light and cell temperature is directly transferred to the semiconductor, but electricity conduction has anomalous diffusion phenomena in inhomogeneous material. FOICM can provide a dynamic mathematical model to describe non-linear characteristics. The fractional-order incremental change as dynamic variable is used to adjust the PV array voltage toward the maximum power point. For a small-scale PV conversion system, the proposed method is validated by simulation with different operation environments. Compared with traditional methods, experimental results demonstrate the short tracking time and the practicality in MPPT of PV array. 相似文献
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基于中值步长法的光伏阵列最大功率点跟踪 总被引:1,自引:0,他引:1
提出了光伏阵列最大功率点跟踪的新型变步长扰动观察法,即中值步长法。在外界环境发生变化时,利用斜率判断扰动方向,利用启动步长快速跟踪光伏阵列最大功率点的大概位置;然后每扰动一次就将扰动步长取中值,使系统在稳态时最大限度地逼近最大功率点,减小最大功率点附近的震荡,提高跟踪精度;利用功率判断避免在扰动过程中出现算法错误。通过Matlab进行仿真,证明了中值步长法能达到理想的跟踪效果。 相似文献
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Energy shortages and environmental problems associated with nonrenewable energy generation techniques have become increasingly prominent worldwide. Solar photovoltaic power generation is able to supply clean, environmentally friendly, and inexhaustible energy. Together with issues related to the expansion of scale, strong stochastic volatility and unpredictability have posed huge challenges to the stability and reliability of this power generation system. The present study proposed a reliable method to evaluate the stationary distribution probability based on the Markov chain method. First, the solar generation system was modeled based on the solar battery. Second, the stochastic property of the solar energy output power was derived and the simulation experiment adopted to verify the feasibility of results. Third, the energy storage device discharge process was modeled based on the Markov chain method and the evaluation method for the reliability of the solar power generation system obtained. Finally, validity of the method was simulated and verified. 相似文献
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