Development of a microcontroller-based, photovoltaic maximum powerpoint tracking control system

Maximum power point tracking (MPPT) is used in photovoltaic (PV) systems to maximize the photovoltaic array output power, irrespective of the temperature and irradiation conditions and of the load electrical characteristics. A new MPPT system has been developed, consisting of a buck-type DC/DC converter, which is controlled by a microcontroller-based unit. The main difference between the method used in the proposed MPPT system and other techniques used in the past is that the PV array output power is used to directly control the DC/DC converter, thus reducing the complexity of the system. The resulting system has high-efficiency, lower-cost and can be easily modified to handle more energy sources (e.g., wind-generators). The experimental results show that the use of the proposed MPPT control increases the PV output power by as much as 15% compared to the case where the DC/DC converter duty cycle is set such that the PV array produces the maximum power at 1 kW/m² and 25°C     

Maximum Power Point Tracking Controller for Thermoelectric Generators with Peak Gain Control of Boost DC–DC Converters

An analog maximum power point tracking (MPPT) circuit for a thermoelectric generator (TEG) is proposed. We show that the peak point of the voltage conversion gain of a boost DC?CDC converter with an input voltage source having an internal resistor is the maximum power point of the TEG. The key characteristic of the proposed MPPT controller is that the duty ratio of the input clock pulse to the boost DC?CDC converter shifts toward the maximum power point of the TEG by seeking the peak gain point of the boost DC?CDC converters. The proposed MPPT technique provides a simple and useful analog MPPT solution, without employing digital microcontroller units.     

粒子群算法与电导增量法的双级最大功率点跟踪控制

通过对光伏发电最大功率点跟踪系统的研究,提出了PSO与电导增量法的双级最大功率跟踪(MPPT)控制算法。该算法能很好地解决传统电导增量法在采用较大跟踪步长时跟踪精度差,采用较小跟踪步长时跟踪速度慢,动态跟踪过程中功率震荡大的问题。所提出的算法包含最优占空比预测和最大功率点跟踪两个阶段。最优占空比预测阶段采用改进的PSO算法搜索最大功率点附近的工作电流和工作电压,然后根据搜索到的电压和电流计算最大功率点附近的最优占空比,该阶段能解决传统的电导增量法在采用较小步长时存在的跟踪速度慢、功率震荡大等问题;在最大功率点跟踪阶段接收上一阶段所搜索到的最优占空比,当电导增量法所产生的占空比接近最优占空比时,采用电导增量法进行控制,否则采用上一环节的最优占空比进行控制。仿真实验结果表明,PSO与电导增量法的双级MPPT控制算法跟踪速度快,跟踪精度高,功率震荡小,能很好地实现最大功率点跟踪。     

基于双并联Boost电路的光伏系统最大功率点跟踪控制方法

光伏电池的输出功率取决于外界环境（温度和光照条件）和负载状况,需采用最大功率点跟踪（MPPT）电路,才能使光伏电池始终输出最大功率,从而充分发挥光伏器件的光电转换效能.在比较了常用光伏发电系统控制的优缺点后,依据MPPT控制算法的基本工作原理,主电路采用双并联Boost电路,具有电压提升功能,并且能够提高DC-DC环节的额定功率和减小直流母线电压的纹波.针对传统扰动观察法存在的振荡和误判问题,提出了一种新型的基于双并联Boost电路的改进扰动观察法最大功率跟踪策略.在Matlab/Simulink下进行了建模与仿真,仿真结果表明,当外界环境发生变化时,系统能快速准确跟踪此变化,避免算法误判现象的发生,通过改变当前的负载阻抗,使之与光伏电池的输出阻抗等值相匹配采满足最大功率输出的要求,使系统始终工作在最大功率点处,并且在最大功率点处具有很好的稳态性能.最后通过实验验证了该算法的有效性.     

A Digital Coreless Maximum Power Point Tracking Circuit for Thermoelectric Generators

This paper describes a maximum power point tracking (MPPT) circuit for thermoelectric generators (TEG) without a digital controller unit. The proposed method uses an analog tracking circuit that samples the half point of the open-circuit voltage without a digital signal processor (DSP) or microcontroller unit for calculating the peak power point using iterative methods. The simulation results revealed that the MPPT circuit, which employs a boost-cascaded-with-buck converter, handled rapid variation of temperature and abrupt changes of load current; this method enables stable operation with high power transfer efficiency. The proposed MPPT technique is a useful analog MPPT solution for thermoelectric generators.     

A Technique for Improving P&O MPPT Performances of Double-Stage Grid-Connected Photovoltaic Systems

In double-stage grid-connected photovoltaic (PV) inverters, the dynamic interactions among the DC/DC and DC/AC stages and the maximum power point tracking (MPPT) controller may reduce the system performances. In this paper, the detrimental effects, particularly in terms of system efficiency and MPPT performances, of the oscillations of the PV array voltage, taking place at the second harmonic of the grid frequency are evidenced. The use of a proper compensation network acting on the error signal between a reference signal provided by the MPPT controller and a signal that is proportional to the PV array voltage is proposed. The guidelines for the proper joint design of the compensation network (which is able to cancel out the PV voltage oscillations) and of the main MPPT parameters are provided in this paper. Simulation results and experimental measurements confirm the effectiveness of the proposed approach.     

基于占空比的无电流传感器最大功率点跟踪系统

为了降低能量收集系统的功率损耗,提出了一种基于占空比的无电流传感器最大功率点跟踪（Maximum Power Point Tracking,MPPT）系统。传统的MPPT方法需要进行直流测量或开路电压测量,本文提出的算法利用滞后切换信息预估发电机的输出功率,可以实现保持最大功率提取,无需进行直流测量。采用MSP430微控制器进行了实现,并调整MPPT算法以适合热电发电机的特性。滞后电压调节器能够将热电发电机输出电压维持在参考电平上,因此可以根据给定的温度条件下提取最大功率。实验分析结果表明,提出的MPPT能量收集系统结构简单、成本较低、功率损耗低,且适用于各类小规模可持续发电。     

光伏电池最大功率跟踪算法的优化设计

光伏电池输出功率受到光照强度、温度和负载等因素的影响而变化,有必要对光伏电池进行最大功率跟踪。文中提出了新的扰动观察MPPT方法,该方法通过控制Boost变换器的占空比来实现最大功率的控制。该方法具有跟踪效率高、跟踪速度快、跟踪控制简单的优点,仿真验证了该方法的有效性。     

一种基于Boost电路的光伏最大功率跟踪方法

最大功率跟踪(MPPT)是太阳能光伏发电的重要组成部分,依靠最大功率跟踪可使光伏电池工作在最大功率点(MPP)附近,提高太阳能的利用率.在分析光伏电池的数学模型的基础上,选用Boost电路作为DC/DC变换来搭建仿真模型;针对传统的定步长扰动观测法存在的震荡和误判现象,提出一种改进的扰动观测法,并在Matlab/Simulink环境下进行了仿真.与定步长的扰动观测法的仿真结果进行对比,表明该算法的响应速度更加迅速;在外界环境发生变化时,该算法能够快速做出判断,准确地跟踪到光伏电池的最大功率点.     

IOT Based Augmented Perturb-and-Observe Soft Switching Boost Converters for Photovoltaic Power Systems in Smart Cities

This paper focuses on IOT based soft switching boost converter based solar energy applications for smart cities and making cities smarter and greener around the globe. It presents one of the applications of the Internet of Things to design and implementation of a highly efficient boost converter used for powering the Arduino and the Bluetooth device for controlling the switching of the led and buzzer by using smart city applications. The soft switching boost converter is essential to maximize the low-level voltage obtained from the solar board to the enhanced voltage conversion ratio for the efficient electric power generation. In this paper, the three separate methodologies of DC–DC boost converters with additional resonant/snubber circuit and resistive load associated with solar panel modules proposed with maximum power point tracking (MPPT) control. The MPPT is obtained by modified augmented perturb and observe algorithm. IoT helps Smart City(SC) systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. It is utilized to extract the most extreme power from solar panel by controlling the duty ratio of the suggested soft switching based boost converter. In this paper a smart IOT system is used to control and monitoring the effect of reference power variations, parameter values to the voltage control to the converter. The solar panel, boost converter and the MPPT is modeled using MATLAB/SIMULINK environment and reach the power transfer efficiency up to 97%.     

Investigation of Maximum Power Point Tracking for Thermoelectric Generators

In this paper, a thermoelectric generator (TEG) model is developed as a tool for investigating optimized maximum power point tracking (MPPT) algorithms for TEG systems within automotive exhaust heat energy recovery applications. The model comprises three main subsystems that make up the TEG system: the heat exchanger, thermoelectric material, and power conditioning unit (PCU). In this study, two MPPT algorithms known as the perturb and observe (P&O) algorithm and extremum seeking control (ESC) are investigated. A synchronous buck–boost converter is implemented as the preferred DC–DC converter topology, and together with the MPPT algorithm completes the PCU architecture. The process of developing the subsystems is discussed, and the advantage of using the MPPT controller is demonstrated. The simulation results demonstrate that the ESC algorithm implemented in combination with a synchronous buck–boost converter achieves favorable power outputs for TEG systems. The appropriateness is by virtue of greater responsiveness to changes in the system’s thermal conditions and hence the electrical potential difference generated in comparison with the P&O algorithm. The MATLAB/Simulink environment is used for simulation of the TEG system and comparison of the investigated control strategies.     

基于DSP的改进PSO光伏阵列MPPT控制应用

为了解决光伏（PV）系统在局部阴影条件下（PSC）的最大功率点跟踪问题,提出了一种基于改进粒子群算法（PSO）的快速最大功率点跟踪（MPPT）方法。与传统基于PSO的MPPT系统不同的是,采用了基于转换器电流动态行为的变量抽样时间策略（VSTS）,并且为了更快速的实现最大功率点跟踪,引入三个重要因数,即：粒子数、收敛速度以及抽样时间。采用DSP平台对提出系统进行了具体实现和性能评估,实验结果显示相比其他类似系统,在不同条件（包括PSC）下,提出算法均能够实现速度跟踪且精确度较高。     

基于PSpice的光伏并网系统仿真研究

采用DC／DC和DC／AC两级拓扑结构对光伏并网系统进行了研究和设计,采用改进的定电压跟踪法（CVT）实现最大功率点闭环跟踪,并将PWM控制器引入并网逆变中,采用三角波比较方式实现SPWM电压逆变和输出电流的波形跟踪与控制,在电压、电流内环的基础上引入功率外环以实现系统前后级功率平衡和能量管理,采用基于PSpice的光伏电池仿真模型对所设计光伏并网系统进行了仿真。仿真结果表明,基于PSpice的光伏仿真模型能够有效地模拟实际光伏并网系统的行为特征,将PSpice软件用于光伏发电系统的仿真是可行的。     

A Maximum Power Point Tracking System With Parallel Connection for PV Stand-Alone Applications

This paper presents the analysis, design, and implementation of a parallel connected maximum power point tracking (MPPT) system for stand-alone photovoltaic power generation. The parallel connection of the MPPT system reduces the negative influence of power converter losses in the overall efficiency because only a part of the generated power is processed by the MPPT system. Furthermore, all control algorithms used in the classical series-connected MPPT can be applied to the parallel system. A simple bidirectional dc-dc power converter is proposed for the MPPT implementation and presents the functions of battery charger and step-up converter. The operation characteristics of the proposed circuit are analyzed with the implementation of a prototype in a practical application.     

基于负载电流前馈的风电系统网侧变流器控制

对于具有并网变流器的风电系统,本文提出了一种基于负载电流前馈的网侧变流器矢量控制方法。与传统方法相比,该方法可提高风电系统在最大风能捕获过程中的暂态稳定性和抑制电网电压波动对直流母线电压所造成的影响。本文以双馈发电机型风电系统为例进行了理论分析和仿真实验,结果验证了所提方法的正确性和有效性。     

基于变论域模糊控制的MPPT控制策略

传统最大功率跟踪(MPPT)方法如电导增量法存在较大稳态误差和波动,加入模糊控制后,虽然系统的动态性能有所改进,但由于模糊论域固定,控制还是略微粗糙,稳态时存在波动。文章采用变论域模糊控制对MPPT进行控制,其优点是不需要过多经验来设定规则表,通过输入改变伸缩因子从而改变论域的范围,使控制更加灵活,缩短了响应时间,缩小了稳态误差和波动,从而保护光伏负载,极大提高太阳光利用率。分别在固定环境和变化环境中对系统进行仿真,从输出功率和负载电压两方面对变论域模糊控制的优越性进行论证。     

An efficient GWO MPPT for a PV system using impedance information acceleration

This paper presents a novel maximum power point tracking (MPPT) method based on the grey wolf optimisation (GWO) technique for photovoltaic (PV) power generation systems. The proposed method utilises previous working duty cycles and their corresponding voltage and current data to compute the instantaneous DC impedance of a PV string. To determine the peak power characteristics of any PV string, the impedance variation of that PV string is used as an efficient shading factor. This shading factor simplifies the calculation of the GWO-MPPT algorithm to obtain multiple peak targets under partial shading conditions. Thus, the efficiency of the proposed power tracking technique can be improved considerably. The effectiveness of this method was validated through both simulation and hardware implementations. Results revealed that the search performance of five iterations of the proposed method was similar to that of ten iterations of a traditional GWO-MPPT method under normal conditions without shading. These results confirm the practicability of the proposed method in various applications.     

A Variable Step Size INC MPPT Method for PV Systems

Maximum power point tracking (MPPT) techniques are employed in photovoltaic (PV) systems to make full utilization of PV array output power which depends on solar irradiation and ambient temperature. Among all the MPPT strategies, the incremental conductance (INC) algorithm is widely used due to the high tracking accuracy at steady state and good adaptability to the rapidly changing atmospheric conditions. In this paper, a modified variable step size INC MPPT algorithm is proposed, which automatically adjusts the step size to track the PV array maximum power point. Compared with the conventional fixed step size method, the proposed approach can effectively improve the MPPT speed and accuracy simultaneously. Furthermore, it is simple and can be easily implemented in digital signal processors. A theoretical analysis and the design principle of the proposed method are provided and its feasibility is also verified by simulation and experimental results.     

Residential photovoltaic energy storage system

This paper introduces a residential photovoltaic (PV) energy storage system, in which the PV power is controlled by a DC-DC power converter and transferred to a small battery energy storage system (BESS). For managing the power, a pattern of daily operation considering the load characteristic of the homeowner, the generation characteristic of the PV power, and the power-leveling demand of the electric utility is prescribed. The system looks up the pattern to select the operation mode, so that powers from the PV array, the batteries and the utility are utilized in a cost-effective manner. As for the control of the system, a novel control technique for the maximum power-point tracking (MPPT) of the PV array is proposed, in which the state-averaged model of the DC-DC power converter, including the dynamic model of the PV array, is derived. Accordingly, a high-performance discrete MPPT controller that tracks the maximum power point with zero-slope regulation and current-mode control is presented. With proposed arrangements on the control of the BESS and the current-to-power scaling factor setting, the DC-DC power converter is capable of combining with the BESS for performing the functions of power conditioning and active power filtering. An experimental 600 W system is implemented, and some simulation and experimental results are provided to demonstrate the effectiveness of the proposed system     

双馈风力发电系统功率控制的相关问题研究

针对目前在风电系统最大风能捕获控制策略中应用较为广泛的功率控制方法,本文首先分析了当前此法中有关反馈量的选取所存在的误区,并通过仿真验证了理论分析结果。在此基础上,结合双馈风电系统的慢动态模型,通过对其功率控制的稳定性分析,给出了系统的闭环稳定性条件,结果表明,闭环系统的稳定性取决于控制器的参数以及系统的工作点。