Subhransu Sekhar Dash

Bio: Subhransu Sekhar Dash is an academic researcher from Government College. The author has contributed to research in topics: Electric power system & AC power. The author has an hindex of 21, co-authored 175 publications receiving 1907 citations. Previous affiliations of Subhransu Sekhar Dash include Sri Sivasubramaniya Nadar College of Engineering & Velammal Engineering College.

Analysis of THD and output voltage performance for cascaded multilevel inverter using carrier pulse width modulation techniques

Abstract: Multilevel inverter is used in applications that need high voltage and high current. The topologies of multilevel inverter have several advantages such as lower total harmonic distortion (THD), lower electro magnetic interference (EMI) generation, high output voltage. The main feature of multilevel inverter is the ability to reduce the voltage stress on each power device due to the utilisation of multilevel on the DC bus. The advent of multilevel inverter topologies has caused variety of pulse width modulation strategies. In this paper, various carrier pulse width modulation techniques are proposed, which can minimise the total harmonic distortion and enhances the output voltages from five level inverter. Three methodologies adopting the constant switching frequency (CSF), variable switching frequency (VSF), and phase shifted pulse width modulation (PSPWM) concepts are proposed in this paper. The above methodologies divided into two techniques like subharmonic pulse width modulation which minimises total harmonic distortion and switching frequency optimal pulse width modulation which enhances the output voltages. Field programmable gate array (FPGA) has been chosen to implement the pulse width modulation due its fast proto typing, simple hardware and software design. The simulation and experimental results are presented.

A review on control of ac microgrid

Abstract: The demand and acceptance of the renewable energy power plants are steadily increasing because of its positive environmental impacts and free availability of fuels such as wind and solar. Because of the intermittent and volatile nature of the output of these plants, neighboring plants are interconnected and controlled simultaneously using intelligent controllers. Loads and other conventional generators like diesel generators are also connected to this network and forms a microgrid which may or may not be connected to the main utility grid. For effectively controlling the resources and the loads connected to a microgrids, many control strategies are developed and successfully implemented nowadays. This paper looks at the possible control schemes used in an AC microgrid.

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Abstract: The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the €(D) includes 7% for Germany, the €(A) includes 10% for Austria. Prices indicated with ** include VAT for electronic products; 19% for Germany, 20% for Austria. All prices exclusive of carriage charges. Prices and other details are subject to change without notice. All errors and omissions excepted. S.S. Dash, M.A. Bhaskar, B.K. Panigrahi, S. Das (Eds.) Artificial Intelligence and Evolutionary Computations in Engineering Systems

Hybrid improved firefly-pattern search optimized fuzzy aided PID controller for automatic generation control of power systems with multi-type generations

Abstract: This article deals with frequency control of five area power systems employing a technique which based on the hybridization of improved Firefly optimization Algorithm and Pattern Search technique (hIFA-PS) to tune the parameters of fuzzy aided PID controller. The performance of original firefly algorithm (FA) is improved by adding memory, newborn fireflies and using a new updating formula of fireflies which eliminate the wandering movement of the fireflies during the iteration process. The proposed hIFA-PS technique gets the benefits of FA's global explore capability and local search ability of PS. At first, an interconnected five area thermal power system with appropriate Generation Rate Constraints (GRC) and Dead Bands (DB) is considered and the integral constants are optimized by FA. To demonstrate the superiority of the proposed hIFA-PS algorithm results are compared with other soft computing approaches. To improve the dynamic performance, different controller structures are considered and a comparative study of hIFA-PS optimized I/PI/PID/Fuzzy aided PID is presented. The proposed design method is also applied to a five area ten unit system consisting of diverse generation sources such as thermal, hydro, wind, diesel, gas turbine. Performance analysis of the designed controller has been carried out for different system parameters and loading conditions. It has been observed that the designed hIFA-PS based fuzzy logic PID controller performs satisfactorily with varied conditions. The superiority of proposed AGC approach over some recently published AGC approaches is also demonstrated.

I and i

Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

Carbon-based composite materials for supercapacitor electrodes: a review

Abstract: Electrochemical capacitors, so-called supercapacitors, play an important role in energy storage and conversion systems. In the last decade, with the increasing volume of scientific activity and publications in this field, researchers have developed better tools to improve electrode materials. Although carbonaceous materials seem the most suitable for supercapacitor applications, a large diversity of materials has been proposed and studied. Yet, in order to accomplish performance beyond the limitations of each material, mainly in terms of energy density and durability, composite materials have been implemented, most of them being the combinations of carbon-based materials and other components. In this review, we present the recent advances in the field of composite materials that include at least one carbon-based component for supercapacitor electrodes. We focus on cases in which a single material by itself suffers from a drawback that can be overcome by combining it with other components, enabling the fabrication of a composite material with enhanced performance. We present several important compositions as well as the major routes of synthesis, characterization and performance of composite materials in this field.

Exploring Chemical, Mechanical, and Electrical Functionalities of Binders for Advanced Energy-Storage Devices

Abstract: Tremendous efforts have been devoted to the development of electrode materials, electrolytes, and separators of energy-storage devices to address the fundamental needs of emerging technologies such as electric vehicles, artificial intelligence, and virtual reality. However, binders, as an important component of energy-storage devices, are yet to receive similar attention. Polyvinylidene fluoride (PVDF) has been the dominant binder in the battery industry for decades despite several well-recognized drawbacks, i.e., limited binding strength due to the lack of chemical bonds with electroactive materials, insufficient mechanical properties, and low electronic and lithium-ion conductivities. The limited binding function cannot meet inherent demands of emerging electrode materials with high capacities such as silicon anodes and sulfur cathodes. To address these concerns, in this review we divide the binding between active materials and binders into two major mechanisms: mechanical interlocking and interfacial b...

Parameter estimation of solar photovoltaic (PV) cells: A review

Abstract: The contribution of solar photovoltaics (PV׳s) in generation of electric power is continually increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model parameters of PV cells is crucial for performance evaluation, control, efficiency computations and maximum power point tracking of solar PV systems. The problem of finding circuit model parameters of solar PV cells is referred to as “PV cell model parameter estimation problem,” and is highly attracted by researchers. In this paper, the existing research works on PV cell model parameter estimation problem are classified into three categories and the research works of those categories are reviewed. Based on the conducted review, some recommendations for future research are provided.