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Performance Enhancement of PV Based Boost Cascaded Fifteen Level Inverter for AC Loads
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作者 M.P.Viswanathan B.Anand 《Computer Systems Science & Engineering》 SCIE EI 2022年第7期165-181,共17页
In this research work,single-stagefifteen levels cascaded DC-interface converter(CDDCLC)is proposed for sun arranged photovoltaic technology(PV)applications.The proposed geography is joined with help DC chopper and H-a... In this research work,single-stagefifteen levels cascaded DC-interface converter(CDDCLC)is proposed for sun arranged photovoltaic technology(PV)applications.The proposed geography is joined with help DC chopper and H-associate inverter to upgrade the power converter to accomplish the diminished harmonic profile.In assessment with the customary inverter structures,the proposed system is used with diminished voltage stress,decreased switch count and DC source tally.The proposed research work with cascaded DC link conver-ter design requires three DC sources for combiningfifteen-level AC output.This investigation structure switching technique is phase opposition and disposition pulse width modulation technique(POPD)which results in improved quality of obtained output AC power with 6.73%THD and also determinedly recommended for power converters used in UPS and drive applications since it is extremely affordable.A simulation and prototype model offifteen-level CDDCLC system is deployed and its performance is analyzed for various operating conditions. 展开更多
关键词 Cascaded DClinkconverter(CDDCLC) modified phaseopposition and disposition(MPOPDPWM) photovoltaic(PV) DCinterfaceboostconverter
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Harnessing greylag goose optimization for efficient MPPT and seven-level inverter in renewable energy systems
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作者 K.Rajaram R.Kannan 《Energy Storage and Saving》 2025年第2期133-147,共15页
Owing to the significant increase in energy consumption,contemporary power systems are transitioning to a new standard characterized by enhanced access to renewable energy sources(RESs).RESs require interfaces to regu... Owing to the significant increase in energy consumption,contemporary power systems are transitioning to a new standard characterized by enhanced access to renewable energy sources(RESs).RESs require interfaces to regulate the power generation.Maximum power point tracking(MPPT)is a technique employed in solar photovoltaic(PV)systems to modify operational parameters to ensureoptimal extraction of power from solar panels.MPPT operates under fluctuating conditions such as sunlight intensity and temperature.An inverter is a device that transforms a direct current into a sinusoidal alternating current.A multilevel inverter(MLI)can be utilized for RESs in two distinct modes:power-generating mode(stand-alone mode)and compensator mode(STATCOM).Limited research has been conducted on the optimization of controller gains in response to variations in a single phase load,particularly reactive load variations,across several scenarios.This load may exhibit an imbalance;hence,a more robust optimization approach must be used to address this problem.This study presents a control system that incorporates an optimized auxiliary MPPT controller for a seven-level inverter.The system uses a sophisticated greylag goose optimization(GGO)random search algorithm combined with the MPPT technique.The main objective is to create a system that enhances performance under diverse and imbalanced loading scenarios by utilizing sophisticated optimization techniques that determine the optimal switching angles for a seven-level inverter.This approach aims to eliminate specific harmonics and achieve a low total harmonic distortion(THD).The inverter THD output voltage was used as the objective function,and the proposed method is particularly beneficial in agricultural settings.The proposed MPPT-based seven-level invertersystem was simulated using MATLAB.The proposed GGO algorithm achieved a minimal THD of 1.95%,surpassing methods such as salp swarm optimization(6.14%),artificial neural networks with fuzzy logic(5.9%),hybrid global selective algorithm(GSA)selective harmonic elimination(7.7%),and genetic algorithms with particle swarm optimization(10.84%),demonstrating its exceptional efficacy in improving power quality. 展开更多
关键词 Maximum power point tracking(MPPT) Multilevel inverter(MLI) Total harmonic distortion(THD) Greylag goose optimization(GGO) phaseopposition disposition(POD)
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