A Novel Photovoltaic Power Harvesting System Using a Transformerless H6 Single-Phase Inverter with Improved Grid Current Quality

Radhika, A.,Shunmugalatha, A. The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.2

The pumping of electric power from photovoltaic (PV) farms is normally carried out using transformers, which require heavy mounting structures and are thus costly, less efficient, and bulky. Therefore, transformerless schemes are developed for the injection of power into the grid. Compared with the H4 inverter topology, the H6 topology is a better choice for pumping PV power into the grid because of the reduced common mode current. This paper presents how the perturb and observe (P&O) algorithm for maximum power point tracking (MPPT) can be implemented in the H6 inverter topology along with the improved sinusoidal current injected to the grid at unity power factor with the average current mode control technique. On the basis of the P&O MPPT algorithm, a power reference for the present insolation level is first calculated. Maintaining this power reference and referring to the AC sine wave of bus bars, a sinusoidal current at unity power factor is injected to the grid. The proportional integral (PI) controller and fuzzy logic controller (FLC) are designed and implemented. The FLC outperforms the PI controller in terms of conversion efficiency and injected power quality. A simulation in the MATLAB/SIMULINK environment is carried out. An experimental prototype is built to validate the proposed idea. The dynamic and steady-state performances of the FLC controller are found to be better than those of the PI controller. The results are presented in this paper.

A Novel Photovoltaic Power Harvesting System Using a Transformerless H6 Single-Phase Inverter with Improved Grid Current Quality

A. Radhika,A. Shunmugalatha 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.2

The pumping of electric power from photovoltaic (PV) farms is normally carried out using transformers, which require heavy mounting structures and are thus costly, less efficient, and bulky. Therefore, transformerless schemes are developed for the injection of power into the grid. Compared with the H4 inverter topology, the H6 topology is a better choice for pumping PV power into the grid because of the reduced common mode current. This paper presents how the perturb and observe (P&O) algorithm for maximum power point tracking (MPPT) can be implemented in the H6 inverter topology along with the improved sinusoidal current injected to the grid at unity power factor with the average current mode control technique. On the basis of the P&O MPPT algorithm, a power reference for the present insolation level is first calculated. Maintaining this power reference and referring to the AC sine wave of bus bars, a sinusoidal current at unity power factor is injected to the grid. The proportional integral (PI) controller and fuzzy logic controller (FLC) are designed and implemented. The FLC outperforms the PI controller in terms of conversion efficiency and injected power quality. A simulation in the MATLAB/SIMULINK environment is carried out. An experimental prototype is built to validate the proposed idea. The dynamic and steady-state performances of the FLC controller are found to be better than those of the PI controller. The results are presented in this paper.

Real-Time Installation of a Smart Energy Meters Using the Long-Range Network

Madhan A.,Shunmugalatha A.,Vigneshwar A. S. 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1

Smart Meters (SMs) are becoming increasingly important in today's world, with their research, design, and installation growing at an accelerating rate. The utilization of smart meters in electrical engineering spans a wide range of tasks, from authentic surveillance to the analysis of load patterns in houses. The usage of wireless communications has aided this progress. However, several issues arise when smart meters are implemented, including range, regions without Web access, etc. Long-Range (LoRa) technologies have excellent coverages and minimal-power apparatus, allowing smart meters to be installed in a variety of locales, namely those lacking Web access. This work aims to improve a smart network based on the Long-Range specifcation, which eliminates the issues that most other wireless technologies have. Electrically Changeable Measuring Devices for Residences Utilizing Long-Range (ECMDRUL) and Gateways for Domestic Energy Meters Networks using LoRa (GDEMNL) have been proposed in this work, allowing the construction of smart networks with an extensive range and reduced utilization. The device output was 2.823 kW, max. 3.087 kW, min. 1.7 kW and total production of 276.2 kWh. The load data was max. 2.823 kW, min. 0.616 kW and Avg. 1.86 kW, with total sum of 125.8 kWh and peak of 132.2 kWh. The data showed positive energy balance. The power consumption of each residence ranged from 2.3 to 6.9 kW, with solar-based generation system of Residence #6 being a viable option.

Power Quality Enhancement in Hybrid Sustainable Energy Systems Grid-Connected Scheme by Modified Non-dominated Sorting Genetic Algorithm

Vigneshwar A. S.,Shunmugalatha A.,Madhan A. 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.4

In modern power systems integrating renewable energy sources like solar PV and wind, ensuring high-quality power delivery is essential. This article addresses the challenge of enhancing power quality in Hybrid Sustainable Energy Systems connected to the grid. We introduce a novel approach centered on the Unifi ed Power Quality Conditioner (UPQC) and a specialized optimization technique, the Modifi ed Non-dominated Sorting Genetic Algorithm (MNSGA-II) with Proportional Integral controllers. Our solution effi ciently manages voltage levels, simultaneously reducing power loss and Total Harmonic Distortion. Compared to conventional methods such as PID controllers, Genetic Algorithms, and Particle Swarm Optimization, our approach stands out in terms of performance. We implement this methodology using MATLAB Simulink, conducting a range of comprehensive performance analyses. Our primary objective is to enhance power quality by addressing power loss and Total Harmonic Distortion, especially when dealing with non-linear and irregular loads at the point of common coupling. As a result, our MNSGA-II technique, in conjunction with UPQC compensation, signifi cantly reduces harmonics of various orders, leading to an improved power quality environment with corresponding harmonic values of 0.29, 0.19, 0.13, 0.1, 0.09, 0.06, and 0.05.

Experimental Investigation of Efficiency Enhancement in Solar Photovoltaic Systems Under Partial Shading Conditions Using Discrete Time Slime Mould Optimization

Padmanaban K.,Shunmugalatha A.,Kamalesh M.S. 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.4

The Solar PhotoVoltaic (SPV) systems are the trending and commercially reputable power source abundantly served by the nature to the mankind. Partial Shading Conditions (PSC) are one of the critical concepts in the SPV maximum power extraction. PSC’s are nonlinear and fuzzy in its attributes, as it is unpredictable. Hence, it has numerous Local Maximum Peak Power (LMPP) points. Although, a wide spread of Maximum Power Point Tracking (MPPT) algorithms are doing justice in locating the peak power points and stabilize the system, they are inadequate to locate the LMPP’s and the Global Maximum Peak Power (GMPP) point. This paper proposes a discrete time-based Slime Mould Optimization, providing an eff ective support to the buck converter based MPPT controller for SPV systems. The analysis and testament of buck converter in discrete domain alleviates the optimization in discrete samples, which accelerates the computation speed in locating the LMPP and GMPP. The proposed methodology is validated from the predominant parametric results like tracking time, power effi ciency and the stability of the system under various PSC’s. The experimental implementations are performed in MATLAB simulations and experimented with dSPACE-MicroLabBox.