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JournalISSN: 2088-8694

International Journal of Power Electronics and Drive Systems 

Institute of Advanced Engineering and Science (IAES)
About: International Journal of Power Electronics and Drive Systems is an academic journal. The journal publishes majorly in the area(s): Inverter & Photovoltaic system. It has an ISSN identifier of 2088-8694. It is also open access. Over the lifetime, 1520 publications have been published receiving 6957 citations.

Papers published on a yearly basis

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Journal ArticleDOI
TL;DR: In this article, the authors proposed a voltage converter for downhole telemetry systems of oil-well pumps. But the circuit contained two steps of voltage converting, and the electrical scheme of this method is considered in the article.
Abstract: The electric power converter for downhole telemetry systems of oil-well pumps include a downhole block connected to the pump that contains electronic circuits required for the operation of the motor pump sensors and transmission of data about their condition to the surface are described. A few methods of electric power conversion for this purpose are considered. The circuit contained two steps of voltage converting are proposed. The electrical scheme of this method is considered in the article. Proposed decisions are simulated and verified experimentally. The input high supply voltage range (200-4200 V) without loss of efficiency (even temporary) was obtained. The results of simulation and experimental studies have shown very close results.

85 citations

Journal ArticleDOI
TL;DR: A single phase digital prepaid energy meter based on two microcontrollers and a single phase energy meter IC is presented in this article, where the energy consumption is calculated using the output pulses of the energy meter chip and the internal counter of microcontroller (ATmega32) to ensure accurate measurement even in the event of an electrical power outage.
Abstract: This paper presents a single phase digital prepaid energy meter based on two microcontrollers and a single phase energy meter IC This digital prepaid energy meter does not have any rotating parts The energy consumption is calculated using the output pulses of the energy meter chip and the internal counter of microcontroller (ATmega32) A microcontroller (ATtiny13) is used as a smart card and the numbers of units recharged by the consumers are written in it A relay system has been used which either isolates or establishes the connection between the electrical load and energy meter through the supply mains depending upon the units present in the smart cardEnergy consumption (kWh), maximum demand (kW), total unit recharged (kWh) and rest of the units (kWh) are stored in the ATmega32 to ensure the accurate measurement even in the event of an electrical power outage that can be easily read from a 20×4 LCD As soon as the supply is restored, energy meter restarts with the stored values A single phase prepaid energy meter prototype has been implemented to provide measurement up to 40A load current and 230V line to neutral voltageNecessary program for microcontrollers are written in c-language and compiled by Win-AVR libc compiler DOI: http://dxdoiorg/1011591/ijpedsv1i2138

55 citations

Journal ArticleDOI
TL;DR: Overall efficiency of most two popular MPPT techniques utilized in PV applications are analyzed and it is showed that the efficiency of P&O algorithm was higher than that of the INC, but to obtain the same performance for both, more concentrated calculations should be used for INC.
Abstract: A main source of current renewable energy is solar energy. This source of renewable energy can be converted to electrical energy using solar photovoltaic (PV) cells. The Maximum Power Point Tracking (MPPT) earns for maximum energy extractor from PV panels by different irradiance levels. In this paper, overall efficiency of most two popular MPPT techniques utilized in PV applications are analyzed, these algorithms are Perturb and Observe (P&O) and Incremental Conductance (INC). An analysis of the results for the algorithms based on MATLAB simulation for various changes in solar irradiance is performed. Results showed that the efficiency of P&O algorithm was higher than that of the INC, but to obtain the same performance for both, more concentrated calculations should be used for INC. In measuring the output power, current and voltage responses, the use of a solar array having constant and variable irradiations was employed as input for the algorithms. The output waveforms which were derived from a simulation run for the purpose of obtaining the algorithms response to changes in solar array irradiations were compared. In general, the consequences of the P&O algorithm are quiet good and adequate. However, there is a need to improve the algorithm so as to satisfy the requirements of face confident timing in addition to its rapid response so as to make its performance better than that of InCond algorithms.

46 citations

Journal ArticleDOI
TL;DR: Both these methods can be used for techno-economic optimization of SHRES and the NSGA-II method is shown to be more accurate whereas the MOPSO method is faster in executing the optimization.
Abstract: This paper presents a Stand-alone Hybrid Renewable Energy System (SHRES) as an alternative to fossil fuel based generators. The Photovoltaic (PV) panels and wind turbines (WT) are designed for the Malaysian low wind speed conditions with battery Energy Storage (BES) to provide electric power to the load. The appropriate sizing of each component was accomplished using Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) techniques. The optimized hybrid system was examined in MATLAB using two case studies to find the optimum number of PV panels, wind turbines system and BES that minimizes the Loss of Power Supply Probability (LPSP) and Cost of Energy (COE). The hybrid power system was connected to the AC bus to investigate the system performance in supplying a rural settlement. Real weather data at the location of interest was utilized in this paper. The results obtained from the two scenarios were used to compare the suitability of the NSGA-II and MOPSO methods. The NSGA-II method is shown to be more accurate whereas the MOPSO method is faster in executing the optimization. Hence, both these methods can be used for techno-economic optimization of SHRES.

44 citations

Journal ArticleDOI
TL;DR: The integration of PV with the electric vehicle (EV) charging system has been on the rise due to several factors, namely continuous reduction in the price of PV modules, rapid growth in EV and concern over the effects of greenhouse gases as mentioned in this paper.
Abstract: The integration of PV with the electric vehicle (EV) charging system has been on the rise due to several factors, namely continuous reduction in the price of PV modules, rapid growth in EV and concern over the effects of greenhouse gases. Over the years, numerous papers have been published on EV charging using the standard utility (grid) electrical supply; however, there seems to be an absence of a comprehensive overview using PV as one of the components for the charger. With the growing interest in this topic, it is timely to review, summarize and update all the related works on PV charging, and to present it as a single reference. For the benefit of a wider audience, the paper also includes the background of EV, as well as a brief description of PV systems. Some of the main features of battery management system (BMS) for EV battery are also presented. It is envisaged that the information gathered in this paper will be a valuable one–stop source of information for researchers working in this topic.The integration of PV with the electric vehicle (EV) charging system has been on the rise due to several factors, namely continuous reduction in the price of PV modules, rapid growth in EV and concern over the effects of greenhouse gases. Over the years, numerous papers have been published on EV charging using the standard utility (grid) electrical supply; however, there seems to be an absence of a comprehensive overview using PV as one of the components for the charger. With the growing interest in this topic, it is timely to review, summarize and update all the related works on PV charging, and to present it as a single reference. For the benefit of a wider audience, the paper also includes the background of EV, as well as a brief description of PV systems. Some of the main features of battery management system (BMS) for EV battery are also presented. It is envisaged that the information gathered in this paper will be a valuable one–stop source of information for researchers working in this topic.

39 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2021204
2020242
2019220
2018197
2017193
2016135