Author ORCID Identifier
https://orcid.org/0000-0001-9097-6960
Biosketch
Dr Jayant Sharma is currently serving as an Assistant Professor in the School of Electrical and Electronics Engineering at SASTRA Deemed University, Thanjavur, where he has been a faculty member since December 2017. He obtained his Ph.D. in Power Quality from SASTRA Deemed University in February 2025, and was conferred the Founder Chancellor’s Award for the Best Ph.D. Dissertation in Engineering among the graduating batch of 2025. His area of research includes Power Quality Improvement, Electric Vehicle Charging Infrastructure, Smart Grid and Grid-Interfacing Converters, Energy Storage and Management, and Custom Power Devices.
Date of Award
6-2-2025
Document Type
Thesis
School
School of Electrical & Electroncis Engineering
Programme
Ph.D.-Doctoral of Philosophy
First Advisor
Dr.C.K.Sundarabalan
Keywords
Harmonics, Solar Photovoltaic, Electric Vehicle, Power Quality, DSTATCOM
Abstract
The quality of electrical power plays a crucial role in both industrial and domestic sectors. This issue becomes even more critical in systems that incorporate power converter-based loads, which are commonly integrated at the grid connection point. Motor drives and grid-integrated electric vehicle (EV) charging stations belong to a category of non-linear loads that inherently introduce substantial harmonic distortion into the current drawn from AC mains. This harmonic distortion adversely affects power quality, potentially leading to overheating and malfunctions in sensitive equipment across the grid. Furthermore, the widespread adoption of solar photovoltaic (PV) technology for EV charging stations has surged due to its numerous advantages.
The key benefits of solar PV-based EV charging systems include minimal maintenance requirements and a modular panel design that enables flexible scalability to meet varying energy demands. Despite these advantages of solar PV-based EV charging systems, certain challenges must be addressed to ensure stable and high-quality power transfer. The most notable challenges include the intermittency of solar power caused by variations in weather and sunlight availability, as well as the harmonic distortion introduced by the non-linear characteristics of EV charging loads. These distortions can degrade overall power quality, affecting grid stability and operational efficiency.
Achieving distortion-free EV charging requires an advanced converter control system capable of performing multiple functions. First, the system must enable efficient AC-to-DC power conversion to supply the EV battery. This conversion needs to adhere to established grid codes to ensure proper synchronization with the grid, thus facilitating seamless energy transfer between the solar PV converter and the power distribution network. Additionally, to maintain high power quality, the interfacing converter between EV charging system and solar PV system should be designed to minimize harmonic distortion and voltage fluctuations, providing cleaner, more stable power output.
Another essential function of this interfacing converter is its ability to act as a Distribution Static Compensator (DSTATCOM) during periods of low or zero solar irradiation, such as at night or on cloudy days. By acting as a DSTATCOM, the interfacing converter can help balance reactive power, reduce total harmonic distortion, and stabilize the voltage profile in the grid. Moreover, advanced energy management capabilities are also necessary to coordinate power flow based on real-time demand, energy availability, and grid conditions.
Many researchers have proposed various adaptive filter based fundamental load current component extraction techniques for harmonic suppression and energy management. However, these methods could cause unstable operation due to their large steady-state errors and delayed responses in the extracted fundamental load current component. In this research work, robust cost function based adaptive filtering techniques Lorentzian norm, conjugate gradient, M-estimate function, Logarithmic hyperbolic cosine function and variable regularization factor based filters have been implemented for the switching control of DSTATCOM in distribution grids and microgrids.
Furthermore, to enhance energy management in islanded solar-powered EV charging stations, a load profile-based superconducting magnetic energy storage (SMES) converter control technique has been introduced. This technique ensures effective utilization of battery and SMES energies according to the fluctuating demand of EV charging stations. This technique also addresses energy availability challenges that arise from solar intermittency. The incorporation of SMES technology in offgrid EV charging stations ensures that excess energy generated during peak solar hours is stored and released as required, maintaining a stable power supply and reducing dependence on the battery energy storage system (BESS).
Recommended Citation
S, Jayant Sharma Mr, "Design and Modelling of Advanced Power Converter Control for Harmonics Suppression and Energy Management" (2025). Theses and Dissertations. 135.
https://knowledgeconnect.sastra.edu/theses/135