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随着能源和环境问题的日益严重,太阳能作为一种绿色可再生能源得到大力发展。光伏发电是太阳能利用最常见的形式,最大功率点跟踪(MPPT)是提高光伏发电效率的有效途径之一。由于光伏发电系统所处环境复杂,部分组件被遮挡的问题难以避免,传统的跟踪算法可能出现误判。针对此问题,本文以局部阴影下最大功率点跟踪控制为主线展开研究,分析光伏发电原理,搭建了4串2并结构的光伏阵列。通过仿真和编程探究了阵列在局部阴影下的输出特性并总结规律。在此基础上,对最大功率点跟踪进行了理论分析,并基于粒子群算法设计出了有效的控制方法,实现了局部阴影下最大功率点跟踪,利用Simulink进行仿真,验证了算法的可行性。 相似文献
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在分析了目前几种比较主流的光伏电池最大功率点跟踪(MPPT)算法的基础上提出了一种新的光伏电池MPPT算法。利用PIC16F877单片机构建的最小系统控制的Buck电路,实现了新算法的实验验证,新算法较大地提高了MPPT控制器的性价比。同时,这里还提出了一种新的基于IR2110构建的单管高边功率NMOSFET驱动电路,提高了变换器的变换效率。 相似文献
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复杂环境条件下,光伏阵列由于被遮挡其输出特性呈现多峰值特性,传统最大功率点跟踪MPPT(maximum power point tracking)算法不再适用。为此,在研究光伏阵列多峰值输出特性的基础上,提出一种基于粒子群优化PSO(particle swarm optimization)算法和电导增量法INC(incremental conductance)的多峰值MPPT算法。该算法分成2步:第1步先由PSO算法将输入位置调整到最优值附近;第2步再由INC算法得到全局最优解,其中对传统PSO算法进行改进,INC算法采用变步长扰动。在Matlab中进行仿真,结果表明该算法可实现复杂环境条件下的最大功率跟踪,并具备较快的响应速度和稳定的寻优效果。 相似文献
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PV power production is highly dependent on environmental and weather conditions, such as solar irradiance and
ambient temperature. Because of the single control condition and any change in the external environment, the first
step response of the converter duty cycle of the traditional MPPT incremental conductance algorithm is not
accurate, resulting in misjudgment. To improve the efficiency and economy of PV systems, an improved
incremental conductance algorithm of MPPT control strategy is proposed. From the traditional incremental
conductance algorithm, this algorithm is simple in structure and can discriminate the instantaneous increment of
current, voltage and power when the external environment changes, and so can improve tracking efficiency.
MATLAB simulations are carried out under rapidly changing solar radiation level, and the results of the improved
and conventional incremental conductance algorithm are compared. The results show that the proposed algorithm
can effectively identify the misjudgment and avoid its occurrence. It not only optimizes the system, but also
improves the efficiency, response speed and tracking efficiency of the PV system, thus ensuring the stable
operation of the power grid. 相似文献
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Maximum power point tracking of PVsystem under partial shading conditionsthrough flower pollination algorithm 下载免费PDF全文
For maximum utilization of solar energy, photovoltaic (PV) power systems should be operated at the maximum
power point (MPP) which can be achieved using maximum power point tracking (MPPT) methods. However, the
occurrence of multi-peak on P-V curve of a PV array due to the changing environmental conditions such as being
partially shaded increases the complexity of the tracking process. The global MPP cannot always be achieved by
the conventional MPPT methods. Therefore a novel MPPT method for PV systems using flower pollination (FP)
algorithm is proposed in this paper and the Levy flight is used to improve the convergence of FP algorithm. MPPT
model of the PV system is established in MATLAB to verify the effectiveness of the proposed method, and the
proposed method is compared with two well established MPPT methods. The simulation results indicate that the
proposed MPPT method can quickly track the changes in external environment and effectively handle the partially
shaded condition. 相似文献
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S. M. Reza Tousi Mohammad Hassan Moradi Amin Bahrami 《IEEJ Transactions on Electrical and Electronic Engineering》2016,11(6):700-707
Maximum power point tracking (MPPT) is one of the major issues in photovoltaic (PV) systems and plays a vital role in optimal utilization of these systems for practical applications. In this paper, we propose a new MPPT method that requires only one current sensor in PV panel side and uses a fuzzy controller to generate proper duty cycle for the DC–DC converter in a PV system. The input current sensor‐based fuzzy MPPT method (ICSF) exhibits proper operation both under steady state and dynamic tests and also performs well in case of severe environmental variations. The proposed method has been simulated in the MATLAB/Simulink workspace and compared with some major MPPT methods. The results reveal that the proposed method behaves well in various conditions. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. 相似文献
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光伏系统最大功率点跟踪控制算法 总被引:1,自引:1,他引:0
最大功率点跟踪技术(MPPT)在太阳能光伏发电系统中占有重要地位.针对现有MPPT方法动态性能和稳态性能难以兼顾的不足,提出了一种具有良好动态性能和稳态性能的MPPT方法,该方法通过Boost电路的开路电压的测量及最大功率点电压的非线性计算对最大功率点进行跟踪控制.仿真结果表明,该方法快速跟踪到最大功率点,消弱了最大功... 相似文献
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基于云层分布规律与太阳光跟踪的光伏电站MPPT策略 总被引:1,自引:1,他引:0
针对现有光伏系统最大功率点跟踪(MPPT)较少考虑诸如光照等外界因素或即使考虑也多做定性分析的问题,提出一种基于云层分布规律与太阳光跟踪的大规模光伏电站MPPT策略。首先,分析云层对太阳光的散射、折射与遮挡效应,结合区域云层分布规律,构建太阳光跟踪装置(以下简称检测球)有效指导半径模型以及在光伏电站中优化布点模型;其次,依据光伏板输出功率差异,提出太阳光辐照强度边界自寻优划分方法,并基于光伏板与检测球间相对位置,建立检测球指导光伏板姿态调整数学模型。最后,采用粒子群优化算法获取单个光伏板最大功率点,进而实现光伏电站MPPT。以西北某光伏电站为背景,仿真验证了所提策略的正确性。 相似文献
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针对面向直流微电网的升压型光伏发电系统,主要从光伏电池的工程模型、最大功率点跟踪控制技术以及升压型光伏发电系统的性能仿真与数字化实现等方面开展了深入的研究。根据P-U曲线的单峰性,确定了利用升压型变换器的阻抗变换作用和电导增量法相结合的最大功率点跟踪实现方案,并详细分析了电导增量法实现最大功率点跟踪的原理。通过研究传统的固定步长电导增量法最大功率点跟踪控制策略,提出了一种改进的变步长电导增量法,并这两种方法进行了仿真验证,并进行了实验研究。相应的实验结果证明了所设计的改进的的变步长电导增量法,解决了传统的固定步长电导增量法所存在的跟踪速度与稳态精度无法同时调节的问题。 相似文献
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最大功率点跟踪技术(Maximum Power Point Tracking,简称MPPT)在太阳能光伏发电系统中占有重要地位.针对现有MPPT方法动态性能和稳态性能难以兼顾的不足,提出了一种同时具有良好动态性能和稳态性能的MPPT方法.该方法的核心思想是,将MPPT过程看作求解函数最大值的最优化问题,用迭代的方法迅速找到并稳定工作在最大功率点.以牛顿法为例,在300 Wp三相光伏并网逆变系统上进行了算法实现.并根据实际情况对算法进行了设计,以达到更好的动态性能.仿真和实验结果验证了该方法的有效性. 相似文献
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The solar cell characteristics are non-linear and largely influenced by solar radiation, temperature and load condition. The power output of a PV array changes with varying temperature and irradiation. A maximum power point algorithm is investigated to obtain maximum power from a PV array on varying operating conditions. So far various methods have been proposed to achieve the maximum power from PV module. The incremental conductance (INC) and perturb and observe (P&O) algorithm are more noteworthy. In this paper two high performance and simple maximum power point tracker (MPPT) are proposed. These algorithms are modified P&O and INC algorithms. These modified algorithms are capable to track maximum power under rapidly changing atmospheric conditions with higher accuracy than their conventional methods. They increase the harvested power from PV array and thus improve the efficiency of MPPT algorithm. The algorithms using a high step-up-DC/DC converter are implemented on MATLAB/SIMULINK tool. The results demonstrate a good performance and accurate tracking under rapidly changing atmospheric conditions. 相似文献
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光伏电池输出电流控制最大功率点跟踪策略 总被引:2,自引:1,他引:1
最大功率点跟踪控制器在光伏系统中起着重要的作用,该控制器可以使太阳电池阵列在一定的外部环境中输出最大的功率,使光伏系统拥有较高的效率。通过Boost变换器实现系统的最大功率点跟踪,应用基于光伏电池输出电流的控制,调整占空比,从而使太阳电池阵列输出功率最大,其优点是结构简单,控制方便,成本低,效率高,传感器精度要求不高。 相似文献
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基于改进MPPT算法的光伏并网系统控制策略 总被引:4,自引:1,他引:3
研究并改进了单相两级光伏并网发电系统的控制策略。以2种基本最大功率点跟踪(MPPT)技术为基础提出了一种结合固定电压法与增量电导法的占空比扰动MPPT算法。在不同的光伏电池运行点采用不同的跟踪方法,通过直接控制直流斩波器开关占空比以达到快速准确的功率跟踪效果。针对该算法的运行条件改进了光伏并网系统整体控制策略。通过直流电压外环的功率平衡控制及比例积分校正,配合内环并网电流反馈控制,使并网逆变器在保持并网电流质量的同时更好地控制直流电压。通过PSCAD/EMTDC软件搭建的光伏并网系统仿真模型验证了改进MPPT算法及逆变器控制策略的有效性。 相似文献
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为保证分布式光伏发电系统安全可靠运行,考虑到传统检测方法以及现有基于最大功率跟踪(MPPT)检测方法的缺陷,提出一种适用于多变环境下基于樽海鞘群算法(SSA)的MPPT仿生智能孤岛检测新方法。该方法利用SSA实时寻找光伏并网发电系统最大功率点(MPP),通过对DC/DC换流器的占空比周期性地扰动,间接地改变逆变器的输出功率与负载功率的匹配程度,从而判断是否发生孤岛效应,以此避免检测盲区及不均匀光照的影响。依据IEEE Std.929—2000的规定进行仿真验证,验证了新方法的有效性。 相似文献
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粒子群优化算法在光伏阵列多峰最大功率点跟踪中的应用 总被引:11,自引:0,他引:11
局部阴影情况下,光伏阵列功率-电压(P-U)特性曲线呈现多个极值点,传统的最大功率点跟踪(maximum power point tracking,MPPT)方法会失效。研究了粒子群优化算法(particle swarm optimization,PSO)在光伏阵列(photovoltaic array)多峰MPPT中的应用,该方法根据多峰P-U曲线的特性,提出将粒子初始位置分散定位在可能的峰值点电压处这一新思路,保证了粒子群算法不会陷入局部极值点且不会错过任何极值点。设置了粒子群算法的参数,同时提出有效的迭代终止策略,能够避免系统趋于稳定时的功率振荡。最后通过仿真验证了该算法在有、无阴影情况下均能够快速且准确地跟踪最大功率点,有效地提高了光伏阵列输出效率。 相似文献
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《International Journal of Electrical Power & Energy Systems》2013,44(1):90-98
This paper presents the optimum photovoltaic (PV) water pumping system using maximum power point tracking technique (MPPT). The optimum is suspended to reference optimal power. This optimal technique is developed to assure the optimum chopping ratio of buck–boost converter. The presented MPPT technique is used in photovoltaic water pumping system in order to optimize its efficiency. An adaptive controller with emphasis on Nonlinear Autoregressive Moving Average (NARMA) based on artificial neural networks approach is applied in order to optimize the duty ratio for PV maximum power at any irradiation level. In this application, an indirect data-based technique is taken, where a model of the plant is identified on the basis of input–output data and then used in the model-based design of a neural network controller. The proposed controller has the advantages of fast response and good performance. The PV generator DC motor pump system with the proposed controller has been tested through a step change in irradiation level. Simulation results show that accurate MPPT tracking performance of the proposed system has been achieved. Further, the performance of the proposed artificial neural network (ANN) controller is compared with a PID controller through simulation studies. Obtained results demonstrate the effectiveness and superiority of the proposed approach. 相似文献