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Performance Analysis of a Rooftop Hybrid Connected Solar pv system

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Energy Engineering 2022年第4期119卷 1729-1744页

作者： Hasan Falih Ahmed J.Hamed Abdul Hadi N.Khalifa Engineering Technical College Middle Technical UniversityBaghdad10074Iraq

In the present work,a 5-kW hybrid pv solar system was installed on the roof of a house in Diyala,Iraq(33.77°N,45.14°E elevation 44 m).The system consists of two strings,where each string consists of nine polycrystalline pv modules with 355 Wp in series,and the two strings are in *** energy storage system(ESS)consists of two parallel strings,each with four 12 V and 150 Ah tubular deep cycle batteries in series.A hybrid inverter of 5 kW rated power was operated in different *** results showed that May’s monthly energy consumption was about 822.9 and 1085 kWh,*** percentage distribution of the DC energy produced was about 1%system energy losses,27.9%was used to charge the ESS,34.3%was used to feed the grid,and the remaining 37.64%was used to share the *** energy percentage sharing the load was 16.67%from ESS,33.33%from the pv system,and 50%*** average daily reference,array,and final yields were 6.07,4.327,and 3.991 h/day,*** average array and load efficiencies were 12.3%and 92.24%,with the performance ratio at 65.4%.

关键词： Solar energy pv system final yield photovoltaic installations performance ratio hybrid pv system

FaultMonitoring Strategy for pv system Based on I-V Feature Library

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Energy Engineering 2024年第3期121卷 643-660页

作者： Huaxing Zhao Yanbo Che Gang Wen Yijing Chen School of Electrical and Information Engineering Tianjin UniversityTianjin300000China State Grid Shuozhou Electric Power Supply Company Shuozhou036000China China Huaneng Clean Energy Research lnstitute Technology Co. Ltd.Beijing102209China

Long-term use in challenging natural conditions is possible for photovoltaic modules,which are extremely prone to *** to diagnose and address faults in Photovoltaic(pv)power systems in a timely manner can cause permanent damage to pv modules and,in more serious cases,***,research into photovoltaic module defect detection techniques is crucial for the growth of the photovoltaic sector as well as for maintaining national economic prosperity and ensuring public *** the drawbacks of the current real-time and historical data-based methods for monitoring distributed pv systems,this paper proposes a method for monitoring pv systems at the module or string level that can be achieved by monitoring only electrical *** approach doesn’t need a lot of tests to get the operational data of pv modules beforehand and only requires theoretical feature libraries of pv modules through panel parameter *** present operating conditions and the open-circuit and short-circuit faults can be precisely identified by comparing the observed open-circuit voltage and short-circuit current with the corresponding data in the theoretical feature *** that,by comparing the measured maximum power point voltage and current with the corresponding data in the theoretical feature library through the threshold method,aging and shadowing faults can be accurately *** testing was done to see whether the suggested method was *** results show that the proposed technique is able to diagnose open-circuit faults,short-circuit faults,aging faults,and shadowing faults with shadow occlusion above 20%.

关键词： pv system lambert W function threshold method

Feedback linearization based control for weak grid connected pv system under normal and abnormal conditions

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Frontiers in Energy 2020年第2期14卷 400-409页

作者： Rahul SHARMA Sathans SUHAG Department ofElectrical Engineering NITKurukshetra 136119India

This paper proposes a control strategy for interface of distributed energy sources into the weak grid system with a focus on the energy and ancillary services.A novel controller has been designed and implemented to tackle the challenges of coupling terms in the LCL filter,the transient behavior under sudden changes,and the voltage support under fault condition using the feedback linearization *** controller proposed has been implemented on the pv system connected with the weak grid using the LCL filter and the performance of the controller has been verified using Matlab/Simulink through simulation under different *** results of the controller proposed have been compared with the conventional PI dual loop *** simulation results obtained demonstrate the effectiveness and simplicity of the controller design strategy.

关键词： pv system grid interface feedback linearization inverter LCL filter

Fault Identification and Islanding in DC Grid Connected pv system

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Circuits and systems 2016年第10期7卷 2904-2915页

作者： M. Mano Raja Paul R. Mahalakshmi Murugesan Karuppasamypandiyan Ananthan Bhuvanesh Rajendran Jai Ganesh Department of EEE Nehru Institute of Engineering & Technology Coimbatore India Department of EEE Kumaraguru College of Technology Coimbatore India Department of EEE Kalasalingam University Krishnankoil India Department of EEE Mepco Schlenk Engineering College Sivakasi India Department of EEE K. Ramakrishnan College of Technology Tiruchirapalli India

Nowadays, the DC distribution system has been suggested, as a replacement for the AC power distribution system with electric propulsion. This idea signifies a fresh approach of issuing energy for low-voltage installations. It can be used for any electrical application up to 20 MW and works at a nominal voltage of 1000 V DC. The DC distribution system is just an extension of the multiple DC links that previously available in all propulsion and thruster drives, which typically comprise more than 80% of the electrical power consumption on electric propulsion vessels. A fault detection and islanding scheme for DC grid connected pv system is presented in this paper. Unlike traditional ac distribution systems, protection has been challenging for dc systems. The goals of this paper are to classify and detect the fault in the pv system as well as DC grid and to isolate the faulted section so that the system keeps operating without disabling the entire system. The results show the measured values of power at pv panel and DC grid side under different fault condition, which indicates the type of fault that occurs in the system.

关键词： pv system DC Grid Fault Identification Islanding

Research on MPPT control of pv system based on PSO algorithm

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Research on MPPT control of PV system based on PSO algorithm

Coordination Control for Supercapacitor Charge and Discharge in pv Energy Storage system Based on EL and Backstepping

2010 Chinese Control and Decision Conference

作者： Ze Cheng,Hang Zhou,Hongzhi Yang School of Electrical Engineering and Automation,Tianjin University,Tianjin,300072

＜正＞Partially shaded conditions are common in all kinds of pv *** mismatch phenomenon not only affects the power generated by solar system,but also leads to security ***,under partially shaded conditions, the P-V curve of pv arrays will have the characteristics of multi-summit,which makes the maximum power point tracking very difficult to *** this paper,the PSO algorithm is applied to the MPPT control algorithm in two different pv *** on establishing the multi-peak model of the pv array under partially shaded condition,the multi-peak MPPT algorithm is *** the introduction of modular structure,the distributed MPPT algorithm is *** effectiveness of the algorithm and the advantages and disadvantages of two different algorithms are examined using the *** last,the hardware circuit of the control system with man-made partially shaded condition is *** effectiveness and preciseness of the MPPT system is proved by the results of the experiments.

关键词： Maximum Power Point Tracking Particle Swarm Optimization pv system AC Module

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Coordination Control for Supercapacitor Charge and Discharge...

Hybrid MPPT approach using Cuckoo Search and Grey Wolf Optimizer for pv systems under variant operating conditions

第30届中国控制与决策会议

作者： Fanghui Li Haisheng Yu College of Automation Engineering Qingdao University

To realize the constant voltage charging of photovoltaic（pv） supercapacitor energy storage system and the control target of the constant voltage power supply,a control method which combines the signal control strategy and energy control strategy is used to control the supercapacitor charging and discharging *** energy control strategy,the Euler-Lagrange（EL） models of the supercapacitor charging and discharging circuits are respectively *** damping matrix injected and expected by the system during charge and discharge process of supercapacitor are given,and the equilibrium of the system has been determined,the EL controller of the system is *** signal control strategy,backstepping controller of the system is *** controller is calculated through coordination *** simulation results show that the coordinated control method not only can realize the constant voltage charging of the super capacitor and the constant voltage discharge of the supercapacitor to the load but also save the energy of system,and the supercapacitor constant voltage discharge system has strong robustness.

关键词： pv system super capacitor EL control Backstepping control

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Global Energy Interconnection 2022年第6期5卷 627-644页

作者： Jinan Abdulhasan Salim Baraa M.Albaker Muwafaq Shyaa Alwan M.Hasanuzzaman College of Engineering Al-Iraqia UniversitySaba’a Abkar CompexBaghdadIraq Higher Institution Centre of Excellence(HICoE) UM Power Energy Dedicated Advanced Centre(UMPEDAC)Level 4Wisma R&DUniversity of MalayaJalan Pantai Baharu59990 Kuala LumpurMalaysia

Photovoltaic(pv)systems are adversely affected by partial shading and non-uniform ***,the addition of a bypass shunt diode to each pv module prevents *** also produces numerous peaks in the pv array’s power-voltage characteristics,thereby trapping conventional maximum power point tracking(MPPT)methods in local *** optimization approaches can be used to address this ***,these strategies have an unreasonably long convergence *** Grey Wolf Optimizer(GWO)is a fast and more dependable optimization *** renders it a good option for MPPT of pv systems operating in varying partial *** conventional GWO method involves a long conversion time,large steady-state oscillations,and a high failure *** work attempts to address these issues by combining Cuckoo Search(CS)with the GWO algorithm to improve the MPPT *** results of this approach are compared with those of conventional MPPT according to GWO and MPPT methods based on perturb and observe(P&O).A comparative analysis reveals that under non-uniform operating conditions,the hybrid GWO CS(GWOCS)approach presented in this article outperforms the GWO and P&O approaches.

关键词： Cuckoo Search GWO MPPT Hybrid MPPT pv system Luo DC-DC converter

Maximum Power Point Tracking Using the Incremental Conductance Algorithm for pv systems Operating in Rapidly Changing Environmental Conditions

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Smart Grid and Renewable Energy 2022年第5期13卷 89-108页

作者： Derek Ajesam Asoh Brice Damien Noumsi Edwin Nyuysever Mbinkar Laboratoire de Génie Electrique Mécatronique et Traitement du Signal ENSPY University of Yaounde I Yaounde Cameroon Department of Electrical/Electronic Engineering NAHPI University of Bamenda Bamenda Cameroon Higher Technical Teacher Training College (HTTTC) University of Bamenda Bamenda Cameroon Department of Electrical/Electronics Engineering Nigeria Army College of Environmental Studies and Technology (NACEST) Makurdi Nigeria

Maximum Power Point Tracking (MPPT) is an important process in Photovoltaic (pv) systems because of the need to extract maximum power from pv panels used in these systems. Without the ability to track and have pv panels operate at its maximum power point (MPP) entails power losses;resulting in high cost since more panels will be required to provide specified energy needs. To achieve high efficiency and low cost, MPPT has therefore become an imperative in pv systems. In this study, an MPP tracker is modeled using the IC algorithm and its behavior under rapidly changing environmental conditions of temperature and irradiation levels is investigated. This algorithm, based on knowledge of the variation of the conductance of pv cells and the operating point with respect to the voltage and current of the panel calculates the slope of the power characteristics to determine the MPP as the peak of the curve. A simple circuit model of the DC-DC boost converter connected to a pv panel is used in the simulation;and the output of the boost converter is fed through a 3-phase inverter to an electricity grid. The model was simulated and tested using MATLAB/Simulink. Simulation results show the effectiveness of the IC algorithm for tracking the MPP in pv systems operating under rapidly changing temperatures and irradiations with a settling time of 2 seconds.

关键词： Modeling Simulation pv system Maximum Power Point Tracking (MPPT) Incremental Conductance Algorithm MATLAB/Simulink

A Survey of the Researches on Grid-Connected Solar Power Generation systems and Power Forecasting Methods Based on Ground-Based Cloud Atlas

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Energy Engineering 2023年第2期120卷 385-408页

作者： Xing Deng Feipeng Da Haijian Shao Xia Wang School of Automation Key Laboratory of Measurement and Control for CSEMinistry of EducationSoutheast UniversityNanjing210096China School of Computer Science Jiangsu University of Science and TechnologyZhenjiang212003China School of Information Science and Technology Nantong UniversityNantong226019China

Photovoltaic power generating is one of the primary methods of utilizing solar energy resources,with large-scale photovoltaic grid-connected power generation being the most efficient way to fully utilize solar *** order to provide reference strategies for pertinent researchers as well as potential implementation,this paper tries to provide a survey investigation and technical analysis of machine learning-related approaches,statistical approaches and optimization techniques for solar power generation and *** learning-related methods,in particular,can theoretically handle arbitrary nonlinear transformations through proper model structural design,such as hidden layer topology optimization and objective function analysis to save information that can increase forecasting accuracy while filtering out irrelevant or less affected data for *** research’s results indicate that RBFNN-AG performed the best when applying the predetermined number of days,with an NRMSE value of 4.65%.RBFNN-AG performs better than sophisticated models like DenseNet(5.69%),SLFN-ELM(5.95%),and ANN-k-means-linear regression correction(6.11%).Additionally,scenario application and pv system investment techniques are provided to evaluate the current condition of new energy development and market trends both domestically and internationally.

关键词： Photovoltaic power generating deep learning pv system