i-manager's Journal on Electrical Engineering (JEE)


Volume 15 Issue 2 October - December 2021

Research Paper

Energy Optimization Control Strategy with Storage Battery and Super Capacitor in AC/DC Micro-Grid

Rashmi Bareth * , Anup Mishra**
*-** Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.
Bareth, R., and Mishra, A. (2021). Energy Optimization Control Strategy with Storage Battery and Super Capacitor in AC/DC Micro-Grid. i-manager’s Journal on Electrical Engineering, 15(2), 1-9. https://doi.org/10.26634/jee.15.2.17639

Abstract

In this article, authors implemented the hybrid system for continuous power distribution to fluctuating load demands. It contains a photovoltaic solar panel and wind turbine as renewable energy source, supercapacitor with a power convertor and a three-phase variation load. The combination of battery storage unit with super capacitor in hybrid system is proposed to solve many problems by its different technical features based on the system energy storage unit. Supercapacitor overcome the demerits of cells (batteries) such as charging and discharging cycles, critical charging current, reduced temperature coefficient and helps in extension of the electrical grid. Direct adjustment or indirect methods, such as to separate the energy storage unit output power adjustment, protect the hybrid energy storage components of the system. The optimal performance and desired control strategy is presented by MATLAB Simulink.

Research Paper

Simple Boost Control for Three Phases Quasi Z-Source Inverter

K. Rajesh* , V. S. L. Tirumala**, G. Siva Sankar***, M. Nagaraju****, A. Hanumaiah*****
*-***** Department of Electrical and Electronics Engineering, Vignan's Lara Institute of Technology & Science, Guntur, Andhra Pradesh, India.
Rajesh, K., Tirumala, V. S. L., Sankar, G. S., Nagaraju, M., and Hanumaiah, A. (2021). Simple Boost Control for Three Phases Quasi Z-Source Inverter. i-manager’s Journal on Electrical Engineering, 15(2), 10-16. https://doi.org/10.26634/jee.15.2.16696

Abstract

This paper deals with the analysis of a Quasi -Z source inverter with a simple boost control strategy presented for non conventional energy applications. The aim objectives of this paper are to increase the boost factor and reduced input ripple current. The switching pulses for the inverter are generated by using simple boost control strategy; the main advantage of this control technique is to reduce the inductor ripple and inductor value. Non conventional energy sources dependence upon the external climatic conditions, the input voltage and currents are varying accordingly, which affects the performance of conventional inverters with voltage and current fed inverter. To overcome the disadvantages of conventional inverters like Voltage Source Inverter (VSI), Current Source Inverter (CSI), and voltage fed inverter called as Z Source Inverter (ZSI)/quasi-Z source inverters (QZSI) are used. It can perform several functions such as Alternating Current (AC) to Direct Current (DC), DC to AC, DC to DC. It works as Buck Boost DC to AC without use of DC to DC conversion, by utilizing the shoot through states. QZSI is obtaining from original ZSI. Simulation of simple boost control of QZSI is carried out in the MATLAB/Simulink environment.

Research Paper

Control Strategy of Shunt Active Power Filter using ANN for Grid Connected Renewable Energy System

K. V. Govardhan Rao* , Adewale Adesina**, N. Ramchandra***
*-*** Department of Electrical and Electronics Engineering, St. Martin's Engineering College, Secunderabad, Telangana, India.
Rao, K. V. G., Kalyani, T. V. S., and Ramchandra, N. (2021). Control Strategy of Shunt Active Power Filter using ANN for Grid Connected Renewable Energy System. i-manager’s Journal on Electrical Engineering, 15(2), 17-23. https://doi.org/10.26634/jee.15.2.17458

Abstract

The paper deals with control schemes of Shunt Active Filter (SAF) using switching devices on the base of Artificial Neural Network (ANN) theory. The main scheme of this is excellent compensation characteristics in steady states and transient states. The project deals with converter with four-leg and voltage source which can do compensation of unbalanced currents and harmonic components generated by non-linear loads. Shunt Active Power Filter (SAPF) helps in reducing harmonic currents. The new proposed Artificial Neural Network Controller of % THD comparatively enhanced. The entire concept of power filter uses ANN controller which is simulated in MATLAB. The suggested circuit in paper are considered at various operating conditions and simulated and shows the potential of the system.

Research Paper

Simulation of Fuel Cell Matrix Inverter Control by Fuzzy Logic

Ruksana S. K.* , Vikranth Avusula**
Department of Electrical and Electronics Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India.
Avusula, V. (2021). Simulation of Fuel Cell Matrix Inverter Control by Fuzzy Logic. i-manager’s Journal on Electrical Engineering, 15(2), 24-28. https://doi.org/10.26634/jee.15.2.18475

Abstract

This paper proposes the modelling and simulation of proton exchange membrane fuel cell fed single phase matrix converter as an inverter for domestic Alternating Current (AC) applications. In this paper single phase matrix converter employing Insulated–Gate Bipolar Transistor (IGBT) based bi-directional switches used for this purpose. The detailed working principle of control strategy of Fuzzy logic based matrix converter has been explained. The technique that is used to generate the pulses for matrix converters is Fuzzy Logic. The performance and the content analysis of the single phase matrix converter has been carried out in MATLAB/SIMULINK and the results have been successfully verified.

Review Paper

A Comprehensive Review on Maximum Power Point Tracking (MPPT) using ANN

Jyotsana Pandey*
Department of Electrical Engineering at Raipur Institute of Technology, Raipur, Chhattisgarh, India.
Pandey, J. (2021). A Comprehensive Review on Maximum Power Point Tracking (MPPT) using ANN. i-manager’s Journal on Electrical Engineering, 15(2), 29-33. https://doi.org/10.26634/jee.15.2.15884

Abstract

Classic maximum power point tracking algorithms ensure correct operation in uniform light conditions. However, when a Photovoltaic (PV) array is under Partial Shading Conditions (PSC), several local maxima appear on the photovoltaic characteristic curve of the photovoltaic array, which is due to the use of bypass diodes to avoid the effect of hot spots. The appearance of these multiple peaks in the characteristics of the PV array makes it difficult to track under these conditions and requires the integration of a more efficient power management system that is able to distinguish between local and global peaks to harvest the maximum possible energy and therefore increase the efficiency of the entire system. In addition to implement global maximum power point tracking strategies, the mismatch loss associated with the shading effect can be further reduced by using alternative PV array configurations. This paper provides an overview of Maximum Power Tracking (MPPT) using Artificial Neural Networks (ANN).