A Novel Aquila Optimizer Based PV Array Reconfiguration Scheme to Generate Maximum Energy under Partial Shading Condition

This paper develops a real-time PV arrays maximum power harvesting scheme under partial shading condition(PSC)by reconfiguring PV arrays using Aquila optimizer(AO).AO is based on the natural behaviors of Aquila in capturing prey,which can choose the best hunting mechanism ingeniously and quickly by balancing the local exploitation and global exploration via four hunting methods of Aquila:choosing the searching area through high soar with the vertical stoop,exploring in different searching spaces through contour flight with quick glide attack,exploiting in convergence searching space through low flight with slow attack,and swooping through walk and grabbing prey.In general,PV arrays reconfiguration is a problem of discrete optimization,thus a series of discrete operations are adopted in AO to enhance its optimization performance.Simulation results based on 10 cases under PSCs show that the mismatched power loss obtained by AO is the smallest compared with genetic algorithm,particle swarm optimization,ant colony algorithm,grasshopper optimization algorithm,and butterfly optimization algorithm,which reduced by 4.34%against butterfly optimization algorithm.

A Continuous Health Monitoring System for Photovoltaic Array Using Arduino Microcontroller

In this paper new technique is developed to monitor the health status of the PV panels in the array. For finding the health status short circuit current is measured continuously over a fixed time period. This technique can classify the health status into four categories such as Healthy, Low Fault, Medium Fault and High Fault. By this classification faulty operation can be rectified and power generation may be improved. In case of high faults, PV panels can be protected. The cost requirement for the implementation is very low. The proposed technique is implemented in MATLAB Simulation and hardware. The array considered in this paper is 2 × 2 Series Parallel.

IoT Enabled Microgrid Framework Using a Novel Dispersal Diffusion Artificial Neural Network Controller for PV Systems and Wind Energy to Minimize Electrical Faults

A system based on a PV-Wind will ensure better efficiency and flexibility using lower energy production.Today,plenty of work is being focussed on Doubly Fed Induction Generators(DFIG)utilized in wind energy systems.DFIG is found to be the best option in the Wind Energy Conversion Systems(WECS)to mitigate the issues caused by power converters.In this work,a new Artificial Neural Network(ANN)is proposed with the Diffusion and Dispersal strategy that works on Maximum Power Point Tracking(MPPT)along with Wind Energy Conversion System(WECS)to minimize electrical faults.The controller focus was not just to increase performance but also to reduce damage owing to any phase to phase fault or Phase to phase to ground fault.To ensure optimal MPPT for the proposed WECS,ANN achieves the optimal PI controller parameters for the indirect control of active and reactive power of DFIG.The optimal allocation and size of the DGs within the distributed system and for MPPT control are obtained using a population of agents.The generated solutions are evaluated and on being successful,the agents test their hypothesis again to create a positive feedback mechanism.Simulations are carried out,and the proposed IoT framework efficiency indicates performance improvement and faster recovery against faults by 9 percent for phase to ground fault and by 7.35 percent for phase to phase fault.

PV/T太阳能热泵系统的性能研究

提出一种新型的太阳能热泵系统———PV/T-SAHP系统,该系统具有光电/光热综合利用的功能;建立了PV/T-SAHP系统的动态模型,对该系统的运行特性进行了数值模拟。结果显示,PV/T-SAHP系统的电效率和热效率较传统的太阳能系统和热泵系统都有明显提高,运行能耗较普通热泵大幅度降低;系统PV/T蒸发器的面积、管间距、倾角等参数的变化对电效率和热性能会产生比较大的影响,是系统优化设计的关键因素。

Automatic PV Grid Fault Detection System with IoT and LabVIEW as Data Logger

Fault detection of the photovoltaic(PV)grid is necessary to detect serious output power reduction to avoid PV modules’damage.To identify the fault of the PV arrays,there is a necessity to implement an automatic system.In this IoT and LabVIEW-based automatic fault detection of 3×3 solar array,a PV system is proposed to control and monitor Internet connectivity remotely.Hardware component to automatically reconfigure the solar PV array from the series-parallel(SP)to the complete cross-linked array underneath partial shading conditions(PSC)is centered on the Atmega328 system to achieve maximum power.In the LabVIEW environment,an automated monitoring system is developed.The automatic monitoring system assesses the voltage drop losses present in the DC side of the PV generator and generates a decimal weighted value depending on the defective solar panels and transmits this value to the remote station through an RF modem,and provides an indicator of the faulty solar panel over the built-in Interface LabVIEW.The managing of this GUI indicator helps the monitoring system to generate a panel alert for damaged panels in the PV system.Node MCU in the receiver section enables transmission of the fault status of PV arrays via Internet connectivity.The IoT-based Blynk app is employed for visualizing the fault status of the 3×3 PV array.The dashboard of Blynk visualizes every array with the status.

Utilization of Railway Track for Grid Connected PV System

Electric power is a key driver of economic growth and prosperity (1). But access to electricity still remains a distant dream for majority of the population living in the remote and arid areas of developing countries mostly Indian sub-continent. Solar photovoltaic (PV) systems have shown their potential in rural electrification projects around the world. Photovoltaic (PV) systems (2) use wafers, which are typically made of crystalline silicon when exposed to sunlight, will produce a small direct current. Available free land is very limited in Bangladesh. So to setup a solar PV Power plant, an alternate has been investigated in this paper work. The available free space over the railway tracks has been considered for power generation. The design calculation and analysis were carried out before it was modeled, simulated in SAM (Version 6.1). The aim of the paper is to analyze the technical description of a photovoltaic system, analyzing each of the elements, the presentation of different types of existing plants and the regulation, and presenting a proposal of such a plant based on the theoretical considerations and calculations.

Study on Seasonal Adjustment of Solar PV Tilt Angle around the North of 45th Parallel

The tilt angle of the small scale existing solar power plants is 60 degree and it is 45 degree for the megawatts(MW)class solar power plant in Mongolia.However,the PV module which is installed with 45 degree accumulates lots of snow during the winter.Currently,all solar PV systems installed in Mongolia are fixed the direction and tilt angles.According to the previous research result,the tilt angle of those systems was not suitable for using especially in the winter.The PV module which is installed with 60 degree does not accumulates snow even during the autumn and spring.According to the National Aeronautics and Space Administration(NASA)solar radiation database,solar irradiance for equator facing is largest at 32-degree tilted angle during the summer,47-degree during the spring and autumn,at 62-degree during the winter.The results of this paper show,the tilt angle of the PV module should be adjusted at least twice a year.For instance,the tilt angle will be adjusted at the 32-degree from 15th March to 24th August,at the 62-degree from 25th August to 15th March.In this case,the annual total energy output will be increased up to 30%than present production.

Investigational Validation of PV Based DCD-MLI Using Simplified SVM Algorithm Utilizing FPGA Tied with Independent Sources

This paper presents the independent source tied photovoltaic (PV) based three-phase three-level diode-clamped-multilevel inverter (DCD-MLI) utilizing field programmable gate array (FPGA) controller. The maximum power point (MPP) is tracked by using fuzzy logic algorithm. Employed for gating signal generation, the space vector modulation (SVM) strategy eradicates the complexity in determining the reference vector location, the ON-time calculations and switching state selection. A digital proportional integral (PI) control algorithm is implemented on a FPGA to keep the current injected into the independent source (grid) sinusoidal and to achieve high dynamic performance with low total harmonic distortion (THD) of output voltage and output current which are 0.97% and 1.26%. With the proposed configuration, the adjustments of modulation index and phase angle are synthesized onto a FPGA by means of hardware description language (VHDL). The efficacy of the scheme is verified through simulation study. To confirm the feasibility of the scheme, experimental studies are carried out on a scaled-down laboratory prototype.

Maximizing aged photovoltaic array power:a computer modelling study

Photovoltaic(PV)modules age with time for various reasons such as corroded joints and terminals and glass coating defects,and their ageing degrades the PV array power.With the help of the PV array numerical model,this paper explores the effects of PV module ageing on the PV array power,and the power gains and costs of rearranging and recabling aged PV modules in a PV array.The numerical PV array model is first revised to account for module ageing,rearrangement and recabling,with the relevant equations presented herein.The updated numerical model is then used to obtain the array powers for seven different PV arrays.The power results are then analysed in view of the attributes of the seven PV array examples.A guiding method to recommend recabling after rearranging aged modules is then proposed,leading to further significant power gains,while eliminating intra-row mismatches.When certain conditions are met,it was shown that recabling PV modules after rearranging them may lead to further significant power gains,reaching 57%and 98%in two considered PV array examples.Higher gains are possible in other arrays.A cost-benefit analysis weighing annual power gains versus estimated recabling costs is also given for the seven considered PV array examples to guide recabling decisions based on technical and economic merits.In the considered examples,recabling costs can be recovered in<4 years.Compared with the powers of the aged arrays,power gains due to our proposed rearranging and recabling the PV arrays ranged between 73%and 131%in the considered examples—well over the gains reported in the literature.Moreover,the cost of our static module rearrangement and recabling method outshines the costs of dynamic reconfiguration methods recently published in the literature.

Improved sliding-mode control for tracking global maximum power of triple-series-parallel ladder photovoltaic arrays under uneven shadowing

This paper presents an innovative way to enhance the performance of photovoltaic(PV)arrays under uneven shadowing conditions.The study focuses on a triple-series–parallel ladder configuration to exploit the benefits of increased power generation while ad-dressing the challenges associated with uneven shadowing.The proposed methodology focuses on the implementation of improved sliding-mode control technique for efficient global maximum power point tracking.Sliding-mode control is known for its robustness in the presence of uncertainties and disturbances,making it suitable for dynamic and complex systems such as PV arrays.This work employs a comprehensive simulation framework to comment on the performance of the suggested improved sliding-mode control strategy in uneven shadowing scenarios.Comparative analysis has been done to show the better effectiveness of the suggested method than the traditional control strategies.The results demonstrate a remarkable enhancement in the tracking accuracy of the global maximum power point,leading to enhanced energy-harvesting capabilities under challenging environmental conditions.Furthermore,the proposed approach exhibits robustness and adaptability in mitigating the effect of shading on the PV array,thereby increasing overall system efficiency.This research contributes valuable insights into the development of advanced control strategies for PV arrays,particularly in the context of triple-series–parallel ladder configurations operating under uneven shadowing conditions.Under short narrow shading conditions,the improved sliding-mode control method tracks the maximum power better compared with perturb&observe at 20.68%,incremental-conductance at 68.78%,fuzzy incremental-conductance at 19.8%,and constant-velocity sliding-mode control at 1.25%.The improved sliding-mode control method has 60%less chattering than constant-velocity sliding-mode control under shading conditions.

Research on PV array reconstruction and Full-cycle maximum power point tracking technology of space solar power station

Space solar power station is an energy system that converts solar energy into electrical energy in the space environment and then transmits it to the space platform or ground using wireless power transmission technology.To improve the power generation and system efficiency of the space solar power station,an adaptive and reconfigurable photovoltaic array with multi-configuration is proposed,which can avoid large attenuation of the output power and efficiency of the photovoltaic array when the photovoltaic modules have a fault occurs or the receive different irradiation intensity.Then,according to the orbit area and light condition of the space solar power station,the operation mode are divided in detail.Furthermore,a novel full-cycle and multi-mode GMPPT(maximum power point tracking)strategy is proposed.Compared to the single mode MPPT,the control strategy has shorter response time,faster convergence and higher tracking accuracy.Through the above research,the output power and photoelectric conversion efficiency of space solar power station can be significantly improved.

局部阴影下的光伏阵列MPPT算法研究

存在局部阴影时,光伏阵列的功率-电压(P-V)特性曲线出现多个极值点,电流-电压(I-V)特性曲线呈现阶梯状,使得基于单峰寻优的传统最大功率点跟踪(MPPT)算法失效。为此,在研究遮阴光伏阵列输出特性规律的基础上,提出了一种具有全局搜索能力的MPPT算法。该算法先用粒子群优化(PSO)算法将输入位置调整到全局最优附近,再用变步长电导增量法得到全局最优解。新的算法在减轻系统振荡和加快搜索速度方面做了改进。仿真结果表明,该方法不仅较好地克服了现有算法使用PSO大幅度随机初始化粒子位置而导致系统振荡问题,而且有效利用传统单峰寻优算法的优点,增强了系统搜索的快速性和稳定性,取得了较好的控制效果。

能源市场背景下含储能的光伏和热电联产评估

高效和清洁的能源利用模式是减少温室气体排放和提高能源网络效率的现实而经济的解决方案。最近越来越多的项目开始关注分布式能源资源,包括光伏(PV)板、热电联产(CHP)、燃料电池及储能系统,因为它们能够作为本地资源利用,以减少因长距离传输而造成的电力损失。提出了一种来评估负荷处的住宅分布式能源(DERs)系统,如CHP,PV系统和热/电储能系统的运行和经济性分析的数学模型,同时考虑能源和辅助服务市场。以此推动分布式能源的财务和弹性价值,并确定关键因素,如分布式能源组合以及电力和天然气配送公司的定价结构。最终得出结论,不同类型的能源电价将影响分布式能源项目的财务方面的问题。此外,研究结果还强调了储能系统激励计划在提高停电期间电网弹性方面的关键作用。

聚光光伏系统的发展及未来趋势

介绍了聚光光伏系统的发展历史和研究现状。对聚光光伏系统中的主件—聚光器和光伏电池进行了详细分类,给出了它们的特点和主要参数。描述了国外一些厂家为提高光伏系统效率并降低成本而研制的太阳跟踪系统。总结出聚光光伏系统的发展趋势,主要是指高倍聚光器+跟踪系统和低倍大角度聚光器+分光元件+多节电池等。最后就目前状况提出了聚光光伏系统商业化还需要解决的问题。

山地光伏组件倾斜角和方位角的修正计算

在山地光伏中,光伏组件布置在有坡度的位置时,需要对其倾斜角和方位角进行修正计算。通过数学建模推导出相应的计算公式,并采用Pvsyst软件进行了验证。

基于反激拓扑的高效率太阳能微型单级并网逆变器

针对使用中央逆变器及组串式逆变器的光伏发电系统中整体太阳能转换效率不高的缺点,提出了将单个太阳能电池板连接一个小功率的逆变器以组成光伏系统,该系统能够使每个太阳能电池板都工作于最大功率点,针对该系统设计了基于反激拓扑的高效率单级并网逆变器,通过电流峰值控制,将太阳能电池板发出的直流电变换成与电网电压幅值匹配的正弦馒头波,再通过工作于工频状态下的晶闸管桥臂换相成正弦交流电,并入电网,锁相采用过零点检测法,最大功率点跟踪(MPPT)算法采用扰动法,给出了控制框图,并搭建了100 W的实验样机。研究结果表明,基于反激拓扑的单级并网逆变器与单个太阳能电池板组成的光伏系统可以有效地提高整个光伏发电系统的太阳能转换效率。

A Novel Triple-tied-cross-linked PV Array Configuration with Reduced Number of Cross-ties to Extract Maximum Power Under Partial Shading Conditions

Partial shadings cause output power reduction from Photovoltaic(PV)arrays due to mismatch losses.The selection of PV array configurations play a vital role in maximum power generation.This paper proposes a novel Triple-Tied-Cross-Linked(T-T-C-L)configuration to extract maximum power with a lesser number of cross ties than a Total-Cross-Tied(T-C-T)configuration.The performance of the proposed T-T-C-L configuration has been compared with various conventional PV array configurations,such as Series(S),Parallel(P),Series-Parallel(S-P),Bridge-Link(B-L),Honey-Comb(H-C),and T-C-T under Partial Shading Conditions(PSCs)by considering the 9×9 PV array.The PSCs considered are uneven row,column,diagonal,random,short&narrow,short&wide,long&narrow,long&wide shadings and uniform half module shading.The measures,such as open circuit voltage,short circuit current,maximum power,voltages and currents at maximum power,mismatch losses,fill factor and efficiency have been used for performance analysis of various configurations.From the results,it can be concluded that the performance of the proposed T-T-C-L configuration is optimal compared to other configurations.

Optimal PV array reconfiguration under partial shading condition through dynamic leader based collective intelligence

This paper applies the innovative idea of DLCI to PV array reconfiguration under various PSCs to capture the maxi-mum output power of a PV generation system.DLCI is a hybrid algorithm that integrates multiple meta-heuristic algo-rithms.Through the competition and cooperation of the search mechanisms of different metaheuristic algorithms,the local exploration and global development of the algorithm can be effectively improved to avoid power mismatch of the PV system caused by the algorithm falling into a local optimum.A series of discrete operations are performed on DLCI to solve the discrete optimization problem of PV array reconfiguration.Two structures(DLCI-I and DLCI-II)are designed to verify the effect of increasing the number of sub-optimizers on the optimized performance of DLCI by simulation based on 10 cases of PSCs.The simulation shows that the increase of the number of sub-optimizers only gives a relatively small improvement on the DLCI optimization performance.DLCI has a significant effect on the reduction in the number of power peaks caused by PSC.The PV array-based reconstruction system of DLCI-II is reduced by 4.05%,1.88%,1.68%,0.99%and 3.39%,when compared to the secondary optimization algorithms.

Evaluation of series-parallel-cross-tied PV array configuration performance with maximum power point tracking techniques under partial shading conditions

Tracking the maximum power point is a critical issue with solar systems.The power output of the solar panel varies due to variations in irradiance and temperature.Nonuniform irradiation due to partial shading conditions has a direct impact on the characteristics of photovoltaic(PV)systems.To build a diversity of maximum power point tracking algorithms in solar PV systems,this work focuses on perturb and observe,incremental conductance,and fuzzy logic control methodologies.The suggested fuzzy logic control method outperformed the conventional incremental conductance and perturb and observe algorithms with a collection of 49 rules.This paper presents a novel series-parallel-cross-tied PV array configuration with a developed fuzzy methodology.To comment on the performance of a proposed system under various partial shading conditions,a series-parallel PV array configuration has been considered.The simulation result demonstrates that the fuzzy method has a percentage improvement in the global maximum power point tracking efficiency of 24.85%when compared to the perturb and observe method and a 65.5%improvement when compared to the incremental conductance method under long wide partial shading conditions.In the case of the middle partial shading condition,the fuzzy method has a percentage improvement in the global maximum power point tracking efficiency of 12.4%compared to the perturb and observe method and a 60.7%improvement compared to the incremental conductance method.

Design of a Hybrid System for Rural Area Electricity Supply in Comoros

Comoros Islands suffering from energy stress due to rolling power cuts in the country mainly due to problems with failures heat engines fuelled with diesel. These blackouts induce shortages of energy while demand for energy does not cease to grow with the population. An alternative way for the Comoros Islands to get out of this energy crisis is to exploit the existing energy renewable sources, in particular to invest in the hybrid energy, a promising technology in terms of economic efficiency. The north of Ngazidja Island, in the region of Mitsamiouli, is considered among the economic lungs of this Island. It is spread in the field of tourism but also an area developed in agriculture and fishing. The Village of Koua Mitsamiouli located in rural area of this region is well known for its efficient yield in agricultural production, although the latter suffers from an energy stress in its last years. This lack of energy and water permanently to farmers has caused its production capacity to fall. In order to increase its agricultural profitability, and to satisfy the needs of the population for their activities such as trade, health, education, banking transactions, product preserving in retail stores, the energy autonomy of this village is more than necessary. It is important to notice that, the use of renewable energies in Comoros is very limited by photovoltaic (PV) solar panels. Hybrid technology and other renewable energy sources are not yet developed in Comoros Island. The main objective of this work is to propose the best possible sizing of a hybrid system for the production of electricity from renewable and non-renewable energy resources in order to satisfy the electrical needs in a reliable manner of the remote of village, Koua Mitsamiouli, for energetic autonomy. Indeed, two energy resources, composed by solar photovoltaic (PV) system and diesel generator are considered in the hybrid system. This study estimates the community demand with HOMER analysis. In order to check the performance of the overall system combination photovoltaic (PV)/generator, several numerical simulations were performed with the HOMER software using data from the national meteorological agency in Comoros and the results obtained by authors are satisfactory in terms of cost and reliability of the system.