V S Bharath Kurukuru

V S Bharath Kurukuru
SAL Silicon Austria Labs · Power Electronics

Doctor of Philosophy

About

97
Publications
15,919
Reads
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672
Citations
Citations since 2017
87 Research Items
672 Citations
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2017201820192020202120222023050100150200250300
2017201820192020202120222023050100150200250300
Introduction
V S Bharath is currently pursuing Ph.D at Advanced Power ELectronics Research Laboratory, Department of Electrical Engineering, Jamia Millia Islamia. Bharath does research in intelligent monitoring of solar photovoltaic systems.
Additional affiliations
August 2019 - October 2019
Aalborg University
Position
  • PhD Student
December 2017 - December 2021
Jamia Millia Islamia
Position
  • PhD Student
Education
May 2014 - May 2016
Amity University
Field of study
  • Power System

Publications

Publications (97)
Conference Paper
In the modern era, Power Electronics' and motion control has emerged as a very important technology in the industrial automation. In the industrial process, most of the drives are constant torque type and needs to drive distinct type of loads at different speeds. Revolutionizing the field the Matrix Converters offers possible "all silicon" solution...
Article
The increasing electric vehicles (EVs) and their integration with the electrical networks to achieve the charging demands has highly affected the operation of the power system. These effects are due to the increased and variable amount of electricity consumption caused by the irregular charging patterns of EVs. As the EV penetration level increases...
Chapter
This chapter presents an efficient fault classification technique for monitoring the condition of photovoltaic (PV) modules. The proposed approach aims at early and efficient detection of fault to achieve reliable operation for solar PV modules. Initially, the thermal images of different module faults are captured and then preprocessed to train wit...
Chapter
This chapter examines the problems regarding current and voltage measurements in online monitoring as well as a set of recommendations on quantitative model‐based monitoring systems which use electrical measurements of current, voltage, and power. It focuses on characterizing the error in voltage and current measurements of photovoltaic (PV) cells...
Chapter
Grid‐connected operation of distributed generation systems provide dynamic operations, low power losses, better reliability, and does not allow any negative or unwanted effects such as poor voltage quality to harm the load side. This chapter aims at identifying the failure modes of power electronic converters (PECs) and their criticality by establi...
Chapter
This chapter discusses the Internet of things (IoT)‐based remote monitoring and controlling system. IoT‐based techniques have become a revolutionary technology for the remote sensing and monitoring of photovoltaic (PV). A more advanced version of IoT‐based smart applications incorporates artificial intelligence (AI) to achieve enhanced adaptation a...
Chapter
This chapter provides detailed information about the functioning of grid‐tied solar photovoltaic (PV) plants, and identifies the faults which can be potential hurdle in achieving high yield and develop a fault classification (FC) mechanism for timely indication of the fault alarm. A brief overview of solar power plants in order to discuss the major...
Conference Paper
Data aggregation in smart grids is a key component for emergency responses during abnormalities in the grid. To efficiently utilize the aggregated data, and achieve fast identification of these abnormalities, this paper develops an online islanding detection approach. The development of the technique is realized with an online learning algorithm im...
Article
Power electronic interfaces are the key aspects for achieving efficient grid integration for various distributed generation applications. As these interfaces continue to increase, their failure will result in major power losses and unstable operation of the electrical network. This article proposes a failure mode effect classification (FMEC) approa...
Article
Full-text available
This paper develops an intelligent energy management system for optimal operation of grid connected solar powered electric vehicle (EV) charging station at workplace. The optimal operation is achieved by controlling the power flow between the photovoltaic (PV) system, energy storage unit, EV charging station (EVCS) and the grid. The proposed contro...
Patent
Full-text available
An artificial intelligence reactive power control system for low voltage ride-through in a grid-connected distributed generation network includes a grid, a circuit breaker, a distributed generation circuit including 3-phase terminals, and a voltage and current measurement unit connected to the 3-phase terminals and configured to generate a set of m...
Article
Full-text available
Cyber attacks can be strategically counterfeited to replicate grid faults, thereby manipulating the protection system and leading to accidental disconnection of grid-tied converters. To prevent such setbacks, we propose a physics-informed spline learning (PiSL) approach based anomaly diagnosis mechanism to distinguish between both events using mini...
Article
Full-text available
In stochastic power systems, electric vehicle (EV) fast charging stations (FCS) are rapidly being installed, while adversely impacts the distribution network. Due to this, the improper offline charging control policies for EVs may increase the voltage fluctuation and instability. To analyse these aspects, this paper investigates the problems associ...
Article
Full-text available
Over the past few years, the power electronic converters have gained significant attraction among researchers, especially as an interface between distributed generation (DG) systems and the grid. Hence, it is imperative to establish a path for enhancing the operation of power electronic converters, and improve their reliability. Further, it is iden...
Article
This paper develops a fault ride-through (FRT) control strategy for achieving low voltage ride through (LVRT) in single-phase grid-connected photovoltaic (PV) systems (GCPVS). The proposed control system adapts a neural network (NN) classifier for islanding classification and model predictive control (MPC) for achieving the control of the two-stage...
Article
This article develops a fuzzy Q-learning (FQL) approach-based power flow management algorithm for a single-phase grid-connected (GC) photovoltaic (PV) system with an energy storage unit (ESU). The FQL coordinates the PV power generation, which is based on the mission profile, the state of charge (SOC) of ESU, and the load profile such that a power...
Article
The increasing photovoltaic (PV) installations and their integration with the utilities have complexed the operation of the power system network making them vulnerable to various faults and abnormalities. The traditional methods developed to handle this problem are aimed to explore the ability of PV inverter to operate in stand-alone (SA) mode when...
Article
Full-text available
The installation of grid-connected microgrids ( $\mu {\rm{Gs}}$ ) is considered a suitable solution to enhance the modernization of distributed generation systems into smart grids. This realization has raised the need for the development of an energy management system $({{\rm{EMS}}})$ for achieving efficient monitoring, control, and management o...
Article
Photovoltaic (PV) systems are increasingly assuming a significant share in the power generation capacity in many countries, and their massive integration with existing power grids has resulted in critical concerns for the distribution system operators. Most of these critical concerns arise due to abnormalities at the grid side (undervoltage and sho...
Article
This paper develops an automatic defect detection mechanism using texture feature analysis and supervised machine learning method to classify the failures in photovoltaic (PV) modules. The proposed technique adopts infrared thermography for identifying the anomalies on PV modules, and a fuzzy-based edge detection technique for detecting the orienta...
Chapter
The islanded microgrid systems require adaptive and rapid disturbance detection techniques due to their insufficient kinetic energy reserve and quick response of power electronic inverters of distributed renewable energy sources. To achieve this requirement, this chapter explores the issues in islanded AC microgrids and develops near-real-time inte...
Article
Full-text available
The increasing penetration of photovoltaic (PV) power generation into the distribution grids has resulted in frequent reverse active power flows, rapid fluctuations in voltage magnitudes, and power loss. To overcome these challenges, this paper identifies the resource management of grid-connected PV systems with active and reactive power injection...
Article
This paper presents a dynamic voltage support (DVS) scheme for achieving low voltage ride-through (LVRT) with a grid connected photovoltaic (PV) inverter during the voltage sag fault. The DVS scheme is achieved by formulating an additional reactive active current control (ARACC) mode which is developed from a conventional reactive current control (...
Article
Full-text available
The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV) systems, due to the increasing computational power, tools and data generation. The currently employed methods for various functions of the solar PV industry related to design, forecasting, control, and maintenance have been found to deliver relatively inac...
Conference Paper
The increasing distributed generation (DG) systems and their integration with the utilities has complexed the operation of the power system network by subjecting them various abnormalities. Numerous studies are aimed to explore the ability of an inverter in a DG system to operate in standalone (SA) mode during the abnormal operation of the utility...
Article
Full-text available
This paper proposes an intelligent seamless transition controller for smooth transition between grid-connected (GC) and standalone modes of distributed generation (DG) units in the grid. The development of this seamless controller contributes to two main processes in the transition modes: the synchronization process and an islanding process. For th...
Article
The nonlinear operating characteristics associated with the power electronic converters result in high mechanical and thermal stresses for the power modules. These stresses collectively result in failure modes such as wear-out and sudden failures, which lead to power loss for the system. To overcome these aspects, this paper proposes a condition mo...
Chapter
With the rapid increase in the development of electric vehicles (EVs), a priority-based power delivery system for EV charging (EVC) has become a significant necessity. This helps in prioritizing the loads with distributed generation systems connected with the grid and prevents negative impacts such as overloading on the power grid. In this paper, a...
Article
Improvement in the efficiency of distribution generation (DG) inverters is a concern and challenge for researchers across the globe. To address the concern an inverter control technique is developed. Inverters have issues with voltage regulation and harmonics when operating in the grid-connected (GC) and stand-alone (SA) mode. This paper proposes a...
Article
This paper develops an islanding classification technique by adapting signal processing and machine learning techniques. The proposed method trains with all the possible islanding conditions, by extracting their features and classifying them. The performance of the proposed method was tested on a single-phase grid-connected photovoltaic system simu...
Chapter
The trend of electrification within the automotive industry has resulted in the development of electric vehicles (EVs) due to their sustainable and environment-friendly feature. One of the major components of these cars is their energy storage device, as its performance is very crucial for the success of the EV. But the major concern is the propert...
Article
Full-text available
This paper develops a model-based data driven algorithm for fault classification in proton exchange membrane fuel cells (PEMFCs). The proposed approach overcomes the drawbacks of voltage and current density assumptions in conventional model-based fault identification methods and data limitations in existing data driven approaches. This is achieved...
Article
Full-text available
This paper develops an islanding classification mechanism to overcome the problems of non-detection zones in conventional islanding detection mechanisms. This process is achieved by adapting the support vector-based data description technique with Gaussian radial basis function kernels for islanding and non-islanding events in single phase grid-con...
Article
Full-text available
Transformerless inverters are prone to irregular voltage profiles, high harmonics and isolation problems while operating with photovoltaic systems and varying load conditions under stand-alone mode. The aim of the paper is to identify the drawbacks of transformerless inverters operating in stand-alone mode and to propose a new topology with improve...
Article
Large photovoltaic (PV) penetrations into the electric grid resulted in new challenges such as reverse power flow and violation of voltage profile. The traditional methods for voltage regulation in a grid‐connected PV system are hardly adaptable to these changes as they only contain the local information which is used without the knowledge of how t...
Article
Full-text available
Photovoltaic (PV) energy has become one of the main sources of renewable energy and is currently the fastest-growing energy technology. As PV energy continues to grow in importance, the investigation of the faults and degradation of PV systems is crucial for better stability and performance of electrical systems. In this work, a fault classificatio...
Conference Paper
There has been a lot of progress going on in field of solar inverters. transformerless inverters has ben the most research area in recent time. For the operation of inverter in stand alone condition it is necessary to make sure that the control of the inverter is taken in account for maintaining the different operation parameters and making the sys...
Conference Paper
Condition monitoring of any system is essential to maintain its healthy operation as it results in getting maximum revenue with minimum maintenance and operation costs. The main objective of this paper is to develop a fault detection algorithm capable of classifying different faults that can be occur in a Photovoltaic (PV) systems. Output character...
Article
Full-text available
As the penetration rate of the Electric Vehicles (EV) increases, their uncontrolled charging could cause undervoltage and network congestions in the electric network. To mitigate these impacts, the controlled charging of the EVs has been investigated by earlier publications. However, the controlled charging cannot be easily implemented as it involv...
Article
Full-text available
There is a significant improvement in the efficiency and reliability of photovoltaic inverter by using transformerless topologies. But, the issues related to voltage regulation and total harmonic distortion (THD) needs to be addressed deeply. This paper aims to study the performance parameters like voltage regulation, efficiency, and THD of highly...
Article
Full-text available
Electric vehicles (EVs) are envisaged to be the future transportation medium, and demonstrate energy efficiency levels much higher than conventional gasoline or diesel-based vehicles. However, the sustainability of EVs is only justified if the electricity used to charge these EVs is availed from a sustainable source of energy and not from any fossi...
Conference Paper
Photovoltaic monitoring is essential in all kinds of systems for its efficient and optimal working. Even after development of modern protection devices, a lot of faults remain undetected. This paper develops a monitoring and detection algorithm for various faults and operating conditions in single phase PV system. The algorithm is developed using w...
Conference Paper
Renewable energy play a significant role in terms of meeting the outgrowing demand of energy. Solar plays the most vital role among all existing renewable energy source. By using solar PV unregulated direct current is obtained. By implementation of solar inverters, an alternating current of a desired magnitude and frequency is obtained out of direc...
Article
Full-text available
Fault diagnosis and condition monitoring are important to increase the efficiency and reliability of photovoltaic modules. This paper reviews the challenges and limitations associated with fault diagnosis of solar modules. A thorough analysis of various faults responsible for failure of solar modules has been discussed. After reviewing relevant wor...
Chapter
Distributed generation systems also known as hybrid power systems which involve renewable energy sources are extensively used due to their efficiency and green interface. Considering the varying environmental conditions, these systems are prone to many disadvantages and limitations. In order to overcome these constraints, intelligent techniques whi...
Chapter
Hybrid vehicles are widely considered as the emerging solutions for green technology in the field of transportation due to their user and eco-friendly interface. Generally speaking the hybrid energy system is prone to multiple types of faults and an intelligent monitoring layer can ensure smooth operation and inform any maintenance issues. In this...