PI controller design using ABC algorithm for MPPT of PV system supplying DC motor pump load

Maximum power point tracking (MPPT) is used in photovoltaic (PV) systems to maximize its output power. A new MPPT system has been suggested for PV–DC motor pump system by designing two PI controllers. The first one is used to reach MPPT by monitoring the voltage and current of the PV array and adjusting the duty cycle of the DC/DC converter. The second PI controller is designed for speed control of DC series motor by setting the voltage fed to the DC series motor through another DC/DC converter. The suggested design problem of MPPT and speed controller is formulated as an optimization task which is solved by artificial bee colony (ABC) to search for optimal parameters of PI controllers. Simulation results have shown the validity of the developed technique in delivering MPPT to DC series motor pump system under atmospheric conditions and tracking the reference speed of motor. Moreover, the performance of the ABC algorithm is compared with genetic algorithm for various disturbances to prove its robustness.

     

Maximum power tracking of a generic photovoltaic system via a fuzzy controller and a two-stage DC–DC converter

This study presents a new two-stage DC–DC converter for maximum power point tracking (MPPT) and a voltage boost of a generic photovoltaic (PV) system. An intelligent MPPT of PV system based on fuzzy logic control (FLC) is presented to adaptively design the proposed fuzzy controlled MPPT controller (FC-MPPTC) while a voltage boost controller (VBC) is used to fix the output voltage to a voltage level that is higher than the required operating voltage to the back-end grid impedance. Modeling and simulation on the PV system and the DC–DC converter circuit are achieved by state-space and the software Powersim. The PV string considered has the rated power around 600?VA under varied partial shadings. The FC-MPPTC and VBC are designed and realized by a DSP module (TMS320F2812) to adjust the duty cycle in the two-stage DC–DC converter. A special FLC algorithm is forged to render an MPPT faster and more accurate than conventional MPPT technique, perturb and observe (P&O). The simulations are intended to validate the performance of the proposed FC-MPPTC. Experiments are conducted and results show that MPPT can be achieved in a fast pace and the efficiency reaches over 90?%, even up to 96?%. It is also found that the optimized tracking speed of the proposed FC-MPPTC is in fact more stable and faster than the general P&O method with the boost voltage capable of offering a stable DC output.     

Control of Grid Connected Photovoltaic Systems with Microinverters: New Theoretical Design and Numerical Evaluation

This paper addresses the problem of controlling grid connected photovoltaic (PV) systems that are driven with microinverters. The systems to be controlled consist of a solar panel, a boost dc–dc converter, a DC link capacitor, a single‐phase full‐bridge inverter, a filter inductor, and an isolation transformer. We seek controllers that are able to simultaneously achieve four control objectives, namely: (i) asymptotic stability of the closed loop control system; (ii) maximum power point tracking (MPPT) of the PV module; (iii) tight regulation of the DC bus voltage; and (iv) unity power factor (PF) in the grid. To achieve these objectives, a new multiloop nonlinear controller is designed using the backstepping design technique. A key feature of the control design is that it relies on an averaged nonlinear system model accounting, on the one hand, for the nonlinear dynamics of the underlying boost converter and inverter and, on the other, for the nonlinear characteristic of the PV panel. To achieve the MPPT objective, a power optimizer is designed that computes online the optimal PV panel voltage used as a reference signal by the PV voltage regulator. It is formally shown that the proposed controller meets all the objectives. This theoretical result is confirmed by numerical simulation tests.     

DSP的有源钳位反激式光伏并网逆变器设计

本文设计了一套以TI公司的TMS320F28335浮点型DSP为控制核心的单相光伏并网微型逆变器,光伏电池输出的直流电经交错并联反激式变换器转换为2倍于电网频率的正弦双半波电流,再用极性反转桥将正弦双半波电流转换为与电网同频同相的交流电并入电网.采用有源钳位电路能使MOSFET管实现零电压开关(ZVS).提出的一种改进型扰动观察法,可提高MPPT效率.样机实验波形表明,该光伏逆变器输出电流谐波含量较少,能够向电网输送高质量的电能.     

A battery charge controller realized by a flyback converter with digital primary side regulation for mobile phones

A flyback converter with digital control designed and implemented for a lithium battery charging system is proposed in this study. As opposed to the requirement of both voltage and current feedbacks for a conventional flyback converter, this study proposes a converter structure that needs only one voltage feedback to stabilize converter output for implementing the designed battery charging techniques. This single feedback of voltage is made possible by so-called “primary side regulation (PSR)”, which in hardware senses the output voltage using an auxiliary winding in the isolating transformer of the flyback converter that is operated in DC–DC discontinuous current mode. The adoption of PSR also enables the elimination of the opto-coupler that is often used in conventional converters for feedback signals. Another essential part of the converter is the proposition of a new a duty control method which regulate successfully the output current by only one feedback voltage signal. The proposed battery charging design consists of three consecutive modes, trickle current (TC), CC and CV. At TC and CC, a duty control method is adopted, which is able to regulate the output current by sensing only the output voltage. Both simulation and experimental results show a 7 % error deviated from targeted output current. As for CV, a proportional-integral controller is designed and implemented to regulate the output voltage. The overall experimental results show a favorable performance of the proposed charging method with proposed PSR-flyback converter.     

基于极值搜索的光伏电池最大功率点跟踪仿真

针对光伏发电系统中最大功率点跟踪问题,在太阳能电池的数学模型的基础上建立了PV模块的Matlab仿真模型;考虑到了太阳能的波动性和随机性对太阳电池阵列的影响,利用一种基于极值搜索方法的实时MPPT控制原理,控制Buck DC/DC变换电路,结合S函数在Matlab/Simulink环境下建立其动态仿真模型,实现了光伏电池输出的最大功率跟踪;仿真结果表明,该算法具有较好的动态特性和稳态特性,具有一定的实用价值。     

H∞ switching fuzzy control of solar power generation systems with asymmetric input constraint

This paper aims at presenting a maximum power point tracking (MPPT) controller for photovoltaic (PV) systems subject to asymmetric input constraint. Indeed, the output voltage of the DC‐DC converter used for adjusting the photovoltaic output power can be controlled by means of variation of duty ratio limited between 1 and 0. The control design goal is to improve the efficiency of PV systems under asymmetric saturation of duty ratio. To achieve this goal, first, a Takagi‐Sugeno (T‐S) fuzzy model is used to represent the nonlinear behavior of the PV system. A T–S reference model is employed to give the ideal state direction which must be followed. To achieve a good steady state tracking, the integral of the state tracking error is used to define an extended system state vector. Second, the input characteristic is partitioned into several regions. In each region, the asymmetric saturation function can be considered as a symmetric saturation function. Furthermore, H∞ stabilization conditions for the resulting switching fuzzy control of the PV system under actuator saturation are formulated in term of linear matrix inequalities (LMI) using the Lyapunov approach. Simulation results are exhibited to demonstrate the effectiveness of the proposed design method.     

光伏电池输出特性与最大功率跟踪的仿真分析

该文根据光伏电池的工程数学模型,提出一种利用MATLAB软件包中的Simulation模块直接模拟光伏电池工作状况的方法,该仿真模型能准确反映光伏电池的输出特性,而且参数调节方便。文章主要对不同负载、模型内部参数变化和日照强度变化条件下光伏电池输出的特性进行了研究,得到了光伏电池输出特性变化的一般规律。数据分析结果表明,光伏电池的输出特性呈非线性。光伏电池输出功率随外部环境或内部参数的变化而发生改变,其最大值只在满足特定条件下的某一点才可能出现。基于导纳增量法,利用BOOSTDC／DC变换电路实现了光伏电池输出的最大功率跟踪,其控制算法用S函数编程实现。     

Maximum Power Extraction Control Algorithm for Hybrid Renewable Energy System

In this research, a modified fractional order proportional integral derivate (FOPID) control method is proposed for the photovoltaic (PV) and thermoelectric generator (TEG) combined hybrid renewable energy system. The faster tracking and steady-state output are aimed at the suggested maximum power point tracking (MPPT) control technique. The derivative order number (µ) value in the improved FOPID (also known as PI^λD^µ) control structure will be dynamically updated utilizing the value of change in PV array voltage output. During the transient, the value of µ is changeable; it’s one at the start and after reaching the maximum power point (MPP), allowing for strong tracking characteristics. TEG will use the freely available waste thermal energy created surrounding the PV array for additional power generation, increasing the system’s energy conversion efficiency. A high-gain DC-DC converter circuit is included in the system to maintain a high amplitude DC input voltage to the inverter circuit. The proposed approach’s performance was investigated using an extensive MATLAB software simulation and validated by comparing findings with the perturbation and observation (P&O) type MPPT control method. The study results demonstrate that the FOPID controller-based MPPT control outperforms the P&O method in harvesting the maximum power achievable from the PV-TEG hybrid source. There is also a better control action and a faster response.     

单相有源电力滤波器非线性统一控制策略

目前有源电力滤波器控制策略都采用电流内环和电压外环的双环控制.本文提出了一种基于精确反馈线性化的单相有源电力滤波器统一控制策略.在单相有源电力滤波器仿射非线性模型基础上,通过求解偏微分方程得到一个包含补偿电流变量和直流侧电压变量的输出函数,并推导出了其状态反馈精确线性化非线性控制律,将原非线性系统转换成微分同胚的二阶线...     

Development and analysis of adaptive fuzzy controllers for photovoltaic system under varying atmospheric and partial shading condition

Control of power electronics converters used in PV system is very much essential for the efficient operation of the solar system. In this paper, a modified incremental conduction maximum power point tracking (MPPT) algorithm in conjunction with an adaptive fuzzy controller is proposed to control the DC–DC boost converter in the PV system under rapidly varying atmospheric and partial shading conditions. An adaptive hysteresis current controller is proposed to control the inverter. The proposed current controller provides constant switching frequency with less harmonic content compared with fixed hysteresis current control algorithm and sinusoidal PWM controller. The modeling and simulation of PV system along with the proposed controllers are done using MATLAB/SIMSCAPE software. Simulation results show that the proposed MPPT algorithm is faster in transient state and presents smoother signal with less fluctuations in steady state. The hardware implementation of proposed MPPT algorithm and inverter current control algorithms using Xilinx spartran-3 FPGA is also presented. The experimental results show satisfactory performance of the proposed approaches.     

基于滑模控制的独立光伏发电系统控制策略

针对独立运行的光伏发电系统,提出了基于滑模控制的最大功率跟踪(MPPT)策略;针对光伏微源输出功率随机性引起的逆变器输入侧直流母线电压波动,通过储能控制实现电压稳定;针对负载变化引起的系统输出电压波动,设计了系统输出电压电流双闭环控制器。通过MatLab/Simulink对提出控制策略进行了仿真验证。分析结果表明,所提出滑模控制策略可实现光伏电池的MPPT;储能控制策略可有效抑制光伏微源输出功率波动引起的直流母线电压波动;输出电压控制策略能稳定系统电压,确保安全可靠运行。     

混沌控制降低Boost型变换器电磁干扰水平研究

本文研究了具有上下限电流控制的闭环DC/DC Boost变换器工作在周期及混沌状态下的频谱特征,证明了工作于混沌状态下的变换器可以有效的降低电磁干扰(EMI)水平。理论分析及仿真结果均证明,本文给出的电压、电流闭环反馈型变换器,既具有较低的电磁干扰水平,又能够保持输出电压稳定。使应用混沌控制降低开关电源电磁干扰水平的研究,更向实用化趋近。     

基于模糊PID控制的双向DC/DC变换器研究

双向DC/DC变换器是指在保持变换器两端的直流电压极性不变的情况下,根据实际需要完成能量双向传输的直流变换器。它在直流不间断电源系统、分布式电站、电动汽车以及太阳能电池阵中有广泛的应用。通过对双向半桥变换器的分析,并将其与蓄电池相结合使用,完成能量的双向传输和电池能量对电网的回馈。由于DC/DC变换器在升降压的过程中产生的严重的非线性问题,在控制方案上,采用模糊PID控制的电压、电流双闭环控制。仿真表明,与传统的PID控制相比,该控制方案有效提高了变换器的鲁棒性,减小输出电压波动,能够实现能量的双向流动。     

储能设备获最大功率的改进型光伏充电系统设计

针对光伏充电系统中能量利用率不高的问题,给出了改进型光伏充电系统的硬件及软件系统的设计方法。该系统基于低功耗单片机MSP430F1611,利用扰动观察法,通过控制数字电位器来间接调节MPPT变换器的输出电压,从而光伏电池功率与MPPT变换器效率在比值最优的情况下,可使得储能设备获得最大功率。经过仿真验证,该方法可以达到预期的效果,储能设备在同等条件下能获得更多的电能。     

航天器大功率直流电源数字均流方法

针对航天器大功率直流电源系统电源模块的均流问题,提出了直流电源系统数字均流方法。该方法以供配电主控软件为均流核心,将各直流电源模块进行并联输出,通过以太网与各直流电源模块进行数据交互,采集各直流电源输出电流,通过均流算法调节直流电源输出电压,以达到电源均流的目的,此方法在现有直流电源的基础上,设计了大功率直流电源并联硬件电路,包含输入控制单元、远端补偿电路和输出控制单元,软件上设计供配电主控软件,包含均流控制功能、供配电流程功能和电源模块监控功能。通过实际硬件环境试验表明,该方法均流精度高、响应速度快、故障控制能力强,在航天电源领域具备较高的实用价值。     

PWM整流器保持高功率因数运行的方法研究

针对煤矿井下电压波动严重时影响稳压电源的单位功率因数等问题,提出采用可变输出直流电压法来控制PWM整流器的直流侧电压,以保证PWM整流器处于高功率因数运行的工作状态;详细分析了直流侧电压的选取及交流侧输入电压大范围波动对交流侧输入电流及功率因数的影响,介绍了可变输出直流电压法的控制原则及软件实现。试验结果表明,在电压波动情况下,可变输出直流电压法不仅可使PWM整流器系统稳定,而且可以保持整流器的高功率因数运行状态。     

燃料电池车载大功率DC/DC变换器的设计与应用

燃料电池的输出特性偏软,电压偏低,难以直接与电动机驱动器匹配,采用DC/DC变换器改善其输出特性,提高输出电压,将燃料电池转换成稳定可控的直流电源,变换器所处的电磁环境较为恶劣,电磁干扰因素居多,采用Motorola(Freescale)16位车用微控制器MC9S12D64作为DC/DC的控制单元,使DC/DC具有良好的抗干扰性能和可靠的运行性能。     

Sliding mode control of DC‐to‐DC power converters using integral reconstructors

A sliding mode feedback controller, based on integral reconstructors is developed for the regulation of the ‘boost’ DC‐to‐DC power converter circuit conduction in continuous conduction mode. The feedback control scheme uses only output capacitor voltage measurements, as well as knowledge of the available input signal, represented by the switch positions. The robustness of the feedback scheme is tested with abusively large, unmodelled, sudden load resistance variations. Copyright © 2002 John Wiley & Sons, Ltd.     

Observer‐based finite‐time output‐feedback controller for DC‐DC buck converters with unknown load variations

The output voltage regulation problem of a DC‐DC buck converter is investigated in this paper via an observer‐based finite‐time output‐feedback control approach. Considering the effects of unknown load variations and the case without current sensor, by using the technique of adding a power integrator and the idea of nonseparation principle, a finite‐time voltage regulation control algorithm via dynamic output feedback is designed. The main feature of the designed observer and controller does not need any load's information. Theoretically, it is proven that the output voltage can reach the desired voltage in a finite time under the proposed controller. The effectiveness of the proposed control method is illustrated by numerical simulations and experimental results.