Abstract

The partially shaded photovoltaic (PSPV) condition reduces the generated power and contributes to hot spot problems that may lead to breakdown of shaded modules. PSPV generates multiple peak, one global one and many other local peaks. Many efficient, accurate and reliable maximum power point tracker (MPPT) techniques are used to track the global peak instead of local peaks. The proposed technique is not limited to global peak tracking, but rather it is capable of tracking the sum of all peaks of the PV arrays using an interleaved boost converter (IBC). The proposed converter has been compared with the state of the art conventional control method that uses a conventional boost converter (CBC). The converters used in the two PSPV systems are interfaced with electric utility using a three-phase inverter. The simulation findings prove superiority of the PSPV with IBC compared to the one using CBC in terms of power quality, reliability, mismatch power loss, DC-link voltage stability, efficiency and flexibility. Also, IBC alleviates partial shading effects and extracts higher power compared to the one using CBC. The results have shown a remarkable increase in output generated power of a PSPV system for the three presented scenarios of partial shading by 61.6%, 30.3% and 13%, respectively, when CBC is replaced by IBC.

Highlights

  • Solar photovoltaic (PV) energy systems are considered as some of the most promising options of the renewable generation systems (RGSs) which are clean, abundant, noise free and friendly to the environment compared to the conventional energy resources such as natural gas, fossil fuel, coal, etc

  • The researchers in [43,45,46,48,53] demonstrated the possibility of using interleaved boost converter (IBC) for high voltage applications compared to the conventional boost converter (CBC), whereas, Rehman et al introduced a detailed comparisons of interleaved DC-DC converter topologies in terms of cost, reliability, flexibility and efficiency that can be used in renewable energy applications [54]

  • According to the literature [23,25,26,28,29,62,63,64], the results proved the significant performance of the BI techniques especially particle swarm optimization (PSO), cuckoo search optimization (CSO), Modified firefly (MFA) and ACO to track the global peakis (GP)

Read more

Summary

Introduction

Solar photovoltaic (PV) energy systems are considered as some of the most promising options of the renewable generation systems (RGSs) which are clean, abundant, noise free and friendly to the environment compared to the conventional energy resources such as natural gas, fossil fuel, coal, etc. The researchers in [47,50,52] have shown the possibility of using IBC with PV in terms of reliability evaluation, ripple reduction and faster transient response They performed their studies on standalone PV without PS in order to highlight the IBC performance where the input power is constant, which is different under PSCs. On the other hand, the researchers in [43,45,46,48,53] demonstrated the possibility of using IBC for high voltage applications compared to the CBC, whereas, Rehman et al introduced a detailed comparisons of interleaved DC-DC converter topologies in terms of cost, reliability, flexibility and efficiency that can be used in renewable energy applications [54].

Grid-Connected PSPV Energy System with CBC
Grid-Connected
Multi-PV
Particle Swarm Optimization Technique
Simulation Results and Discussion
The from the the PSPV
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.