Rajit Gadh
YOU?
Author Swipe
View article: A Framework for Optimal Sizing of Heavy-Duty Electric Vehicle Charging Stations Considering Uncertainty
A Framework for Optimal Sizing of Heavy-Duty Electric Vehicle Charging Stations Considering Uncertainty Open
The adoption of heavy-duty electric vehicles (HDEVs) is key to achieving transportation decarbonization. A major component of this transition is the need for new supporting infrastructure: electric charging stations (CSs). HDEV CSs must be…
View article: Foundational Pillars of Peer-to-Peer (P2P) Energy Trading in Smart grid using Blockchain
Foundational Pillars of Peer-to-Peer (P2P) Energy Trading in Smart grid using Blockchain Open
This work aims to present a global thorough review of peer-to-peer (P2P) energy trading. P2P is an emerging bi-directional bilateral energy-trading model. For a P2P trading a player must find an optimal energy buyer/seller as per available…
View article: Short-term aggregate electric vehicle charging load forecasting in diverse conditions with minimal data using transfer and meta-learning
Short-term aggregate electric vehicle charging load forecasting in diverse conditions with minimal data using transfer and meta-learning Open
The proliferation of electric vehicles (EVs) necessitates accurate EV charging load forecasting for demand-side management and electric-grid planning. Conventional machine learning-based load forecasting methods like long short-term memory…
View article: Optimal Engagement of Residential Battery Storage to Alleviate Grid Upgrades Caused by EVs and Solar Systems
Optimal Engagement of Residential Battery Storage to Alleviate Grid Upgrades Caused by EVs and Solar Systems Open
The integration of distributed energy resources has ushered in a host of complex challenges, significantly impacting power quality in distribution networks.This work studies these challenges, exploring issues such as voltage fluctuations a…
View article: Empowering Dynamic Active and Reactive Power Control: A Deep Reinforcement Learning Controller for Three-Phase Grid-Connected Electric Vehicles
Empowering Dynamic Active and Reactive Power Control: A Deep Reinforcement Learning Controller for Three-Phase Grid-Connected Electric Vehicles Open
Advancing bidirectional voltage source inverters in the on-board chargers of electric vehicles is vital for smart grid electric power management. These electric vehicle inverters play a crucial role in actively contributing to active/react…
View article: Congestion Relief Services by Vehicle-to-Grid Enabled Electric Vehicles Considering Battery Degradation
Congestion Relief Services by Vehicle-to-Grid Enabled Electric Vehicles Considering Battery Degradation Open
Battery electric vehicles (BEVs) offer substantial potential to enhance the electric grid through bi-directional charging technologies. In essence, BEVs, functioning as portable battery energy storage systems, play a pivotal role in enabli…
View article: Optimizing Voltage Stability in Distribution Networks via Metaheuristic Algorithm-Driven Reactive Power Compensation from MDHD EVs
Optimizing Voltage Stability in Distribution Networks via Metaheuristic Algorithm-Driven Reactive Power Compensation from MDHD EVs Open
The deployment of medium-duty and heavy-duty (MDHD) electric vehicles (EVs), characterized by their substantial battery capacity and high charging power demand, poses a potential threat to voltage stability within distribution networks. On…
View article: Artificial deep neural network enables one-size-fits-all electric vehicle user behavior prediction framework
Artificial deep neural network enables one-size-fits-all electric vehicle user behavior prediction framework Open
As greener mobility becomes the norm with the advent of electric vehicles (EVs), a natural question arises: how big of a change are we seeing in terms of the stochastic energy demands imposed by EVs? There have been considerable difficulti…
View article: A novel large-scale EV charging scheduling algorithm considering V2G and reactive power management based on ADMM
A novel large-scale EV charging scheduling algorithm considering V2G and reactive power management based on ADMM Open
Electric vehicle aggregators (EVAs) that utilize vehicle-to-grid (V2G) technologies can function as both controllable loads and virtual power plants, providing key energy management services to the distribution system operator (DSO). EVAs …
View article: Battery energy storage control systems and methods for a grid tie inverter coupled to a photovoltaic system
Battery energy storage control systems and methods for a grid tie inverter coupled to a photovoltaic system Open
A distributed control system uses a central controller in Internet communication with a local controller to manage grid tie attachment with a battery to form an integrated battery energy storage system (BESS). The BESS is capable of chargi…
View article: Smart electric vehicle (EV) charging and grid integration apparatus and methods
Smart electric vehicle (EV) charging and grid integration apparatus and methods Open
An expert system manages a power grid wherein charging stations are connected to the power grid, with electric vehicles connected to the charging stations, whereby the expert system selectively backfills power from connected electric vehic…
View article: Network based management for multiplexed electric vehicle charging
Network based management for multiplexed electric vehicle charging Open
A system for multiplexing charging of electric vehicles, comprising a server coupled to a plurality of charging control modules over a network. Each of said charging modules being connected to a voltage source such that each charging contr…
View article: Power control apparatus and methods for electric vehicles
Power control apparatus and methods for electric vehicles Open
Electric vehicle (EV) charging apparatus and methods are described which allow the sharing of charge current between multiple vehicles connected to a single source of charging energy. In addition, this charge sharing can be performed in a …
View article: Scalable Distribution Systems State Estimation Using Long Short-Term Memory Networks as Surrogates
Scalable Distribution Systems State Estimation Using Long Short-Term Memory Networks as Surrogates Open
Modern distribution systems are confronted by increasing penetration of distributed energy resources, making state estimation a critical application for distribution systems. However, existing state estimation schemes are often time-consum…
View article: Hierarchical Distributed EV Charging Scheduling in Distribution Grids
Hierarchical Distributed EV Charging Scheduling in Distribution Grids Open
In this paper, a hierarchical distributed method consisting of two iterative procedures is proposed for optimal electric vehicle charging scheduling (EVCS) in the distribution grids. In the proposed method, the distribution system operator…
View article: Hierarchical Distributed Framework for EV Charging Scheduling Using\n Exchange Problem
Hierarchical Distributed Framework for EV Charging Scheduling Using\n Exchange Problem Open
In this paper, a distributed trilayer multi-agent framework is proposed for\noptimal electric vehicle charging scheduling (EVCS). The framework reduces the\nnegative effects of electric vehicle charging demand on the electrical grids.\nTo …
View article: Fast Univariate Time Series Prediction of Solar Power for Real-Time Control of Energy Storage System
Fast Univariate Time Series Prediction of Solar Power for Real-Time Control of Energy Storage System Open
In this paper, super-short-term prediction of solar power generation for applications in dynamic control of energy system has been investigated. In order to follow and satisfy the dynamics of the controller, the deployed prediction method …
View article: Electric Vehicle Driver Clustering using Statistical Model and Machine Learning
Electric Vehicle Driver Clustering using Statistical Model and Machine Learning Open
Electric Vehicle (EV) is playing a significant role in the distribution energy management systems since the power consumption level of the EVs is much higher than the other regular home appliances. The randomness of the EV driver behaviors…
View article: Real-Time Bi-directional Electric Vehicle Charging Control with Distribution Grid Implementation
Real-Time Bi-directional Electric Vehicle Charging Control with Distribution Grid Implementation Open
As electric vehicle (EV) adoption is growing year after year, there is no doubt that EVs will occupy a significant portion of transporting vehicle in the near future. Although EVs have benefits for environment, large amount of un-coordinat…
View article: Distributed Optimal Vehicle Grid Integration Strategy with User Behavior Prediction
Distributed Optimal Vehicle Grid Integration Strategy with User Behavior Prediction Open
With the increasing of electric vehicle (EV) adoption in recent years, the impact of EV charging activities to the power grid becomes more and more significant. In this article, an optimal scheduling algorithm which combines smart EV charg…
View article: Design and Implementation of a Microgrid Energy Management System
Design and Implementation of a Microgrid Energy Management System Open
A microgrid is characterized by the integration of distributed energy resources and controllable loads in a power distribution network. Such integration introduces new, unique challenges to microgrid management that have never been exposed…
View article: Optimal Operation of Stationary and Mobile Batteries in Distribution Grids
Optimal Operation of Stationary and Mobile Batteries in Distribution Grids Open
The trending integrations of Battery Energy Storage System (BESS, stationary battery) and Electric Vehicles (EV, mobile battery) to distribution grids call for advanced Demand Side Management (DSM) technique that addresses the scalability …
View article: Predictive scheduling for Electric Vehicles considering uncertainty of load and user behaviors
Predictive scheduling for Electric Vehicles considering uncertainty of load and user behaviors Open
Un-coordinated Electric Vehicle (EV) charging can create unexpected load in local distribution grid, which may degrade the power quality and system reliability. The uncertainty of EV load, user behaviors and other baseload in distribution …
View article: Optimal energy management for Microgrid with stationary and mobile storages
Optimal energy management for Microgrid with stationary and mobile storages Open
This paper studies energy management in a Microgrid (MG) with solar generation, Battery Energy Management System (BESS) and gridable (V2G) EVs. A two-stage stochastic optimization method is proposed to capture the intermittent solar genera…
View article: Univariate time series prediction of solar power using a hybrid wavelet-ARMA-NARX prediction method
Univariate time series prediction of solar power using a hybrid wavelet-ARMA-NARX prediction method Open
This paper proposes a new hybrid method for super short-term solar power prediction. Solar output power usually has a complex, nonstationary, and nonlinear characteristic due to intermittent and time varying behavior of solar radiance. In …
View article: RFID Technologies & Internet of Things
RFID Technologies & Internet of Things Open
RFID Technologies & Internet of ThingsThe Internet of Things (IoT) is envisioned as a network of billions or trillions of smart "objects" connected to the Internet and characterized by sensing, actuating, and data processing capabilities.M…