SHAILESH M. DESHMUKH
@kalingauniversity.ac.in
Assistant Professor, Department of Electrical Engineering
Kalinga University, New Raipur
Working as an Assistant Professor in the department of Electrical Engineering, Kalinga University, New Raipur, Chhattisgarh-India.
15 years of experience in the field of academics. Research area is power quality, electrical machines, energy sources, electrical vehicles.
More than 35 research publication in various journals and conference.
EDUCATION
Diploma in Electrical Engineering
M. Tech in Power System & Electrical Devices.
Ph. D. (Pursuing)
RESEARCH INTERESTS
power quality, electrical machines, electrical vehicles
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Shailesh M Deshmukh, Mahesh Singh, Shashank Kumar, and Gautam Kumar Rana
IEEE
The integration of microgrid capabilities into PHEV charging stations enables a versatile and robust energy supply, mitigating grid dependency and enhancing overall system resilience. Leveraging the adaptive optimization technique, the system dynamically adjusts parameters, optimizing charging processes based on real-time conditions, thereby ensuring efficient and dependable service. Specifically, the study integrates Adaptive Harris' Hawks Optimization (HHO) to enhance the efficiency of simultaneous energy distribution within these stations. A meta-heuristic solving tool is created for controlling the PHEV charging sequence. This programming model's primary contribution is its capacity to schedule the cars in both areas concurrently. With reference to the IEEE 33-bus and IEEE 69 bus, the effectiveness of the suggested energy management framework is assessed. The results were obtained for renewable DG integration of Constant Power (CP), Constant Impedance (CZ), and Constant Current (CI) load models respectively. The stochastic nature of the proposed Harris' Hawks Optimization algorithm is tested by running 100 trails with RDG placements. The result comprises RDG size, ENS, power loss, time taken to complete the simulation, and the convergence point of iteration at all load models. In comparison to FFA and PSO, Harris' Hawks Optimization has the least optimum ENS in DG placement. The findings demonstrate that the lowest operating costs are possible when charging during periods of low electricity prices and discharging during periods of high electricity prices.
Manoj Kumar Nigam, Shailesh M. Deshmukh, Ankit Mishra, and Rahul Mishra
IEEE
In this we discussed about the impact of mutual inductance on the dynamic modeling of Switched Reluctance (SR) motors and their performance. COMSOL software is used to simulate the performance of an 8/6 pole SR motor. Here, we also examine how well the redesigned stator pole SR motor performs in comparison, taking into account the impact of mutual inductance. The inductance profile and magnetic flux profile at various rotor positions have been displayed by the simulation results.
Sonali Khorge, S. P. Gawande, Pradyumn Chaturvedi, Akshaya Bonde, Sajid Sheikh, and Shailesh Deshmukh
IEEE
Now-a-days due to rising concerns about environmental degradation majorly caused by GHG emissions, emitted by ICE powered engines, a new “sustainability mantra” is emerging at center stage. This is to electrify automotive transportation industry As a result, demand for Electric Vehicle (EV) is at pace. EVs are considered to be green as they have no tailpipe emissions exhausted from them. Since EVs are powered by electricity to charge the battery from grid. The major segment of EV is charging. Amongst the various battery charging technologies, two types of charging methods are enlisted depending upon power level and sizing of battery ie. ON Board and OFF Board charging. Accordingly, it is more preferential and beneficial to charge battery through grid. This will also facilitate the bi-directional power flow between the grid and vehicle which introduces the concept of Grid-to-Vehicle(G2V) and Vehicle-to-Grid(V2G). To emphasize this concept, this paper proposes ON Board EV charging station. The converters and their suitable controls have been implemented to analyze the system. The system is simulated in MATLAB/SIMULINK environment and fruitful results are obtained to validate the system performance.
Shailesh M. Deshmukh, Vijayalaxmi Biradar, and S. P. Gawande
IEEE
DC and AC electricity charge EVs at the charging station. DC charges quickly, but AC charges slowly. The microgrid has few AC loads but lots of DC quick charging. High harmonic current from several AC and DC conversions will increase power usage and decrease microgrid solidity and richness. Hence, the traditional hybrid AC/DC microgrid that mainly relies on an AC microgrid fails in such conditions. Charging stations powered by a hybrid microgrid may help regulate power flow and reduce transmission losses in today's power grid. Nevertheless, when battery electric vehicles (BEVs) are charged without coordination with the hybrid microgrid, the associated renewable energy sources are not used to their full potential. In addition, a multiport charging facility is part of the growth of new charging stations that is expected to strain the power grid. Our unique hybrid microgrid system for electric car charging stations is proposed as a solution to these problems. To better accommodate electric vehicles (EVs) on the grid, this research proposes and evaluates a novel form of photovoltaics (PV) hybrid DC/AC microgrid for EV charging stations. Components of the proposed model include renewable energy sources, a diesel generator, a PV model, storage devices, linear loads, and non-linear loads (RESs). The effectiveness of the suggested model for electrical car charging stations is shown by the simulation results.
Pranjali M. Meshram, S. P. Gawande, S. Deshmukh, and Amrita Chaudhury
IEEE
The most significant electromechanical power- conversion technology over a very long period of time has been the synchronous machine, which is essential for both the generation of electricity and some unique drive applications. This paper explains the synchronization between the synchronous generator and an infinite bus. A real time synchronous generator (SG) with steady field current linked to an infinite bus is investigated to identify verifiable requirements for stability of the equilibria. To carry out this analysis synchroscope method is proposed to establish synchronization. The comprehensive mathematical modelling of SG is produced for analysis purpose. Additionally, detail discussion has been carried out to focus advance methods as an alternative for SG. The simulation and hardware analysis are performed intensively to validate the system performance.
Shailesh M. Deshmukh, Vijayalaxmi Biradar, and S. P. Gawande
IEEE
Eco-friendly automotive technologies like electric cars have risen in popularity due to the need for a cleaner environment. In addition to the growing number of EVs, charging infrastructure is becoming more crucial. Options for increasing operation and efficiency of the EV charging infrastructure, understanding current EV customers' charging habits are some of the concerns. With RFID (radio frequency identification), users may be identified automatically. This technique employs electromagnetic waves to send and receive data. This study reports on the development of distributed renewable power charging stations for EVs. IEC 61851, 62196, and ISO 15118 are used to develop this. As controller and EV user identification, the designed electric charging station employed ATMEGA8535 microcontroller and RFID. Solar, wind, and battery storage charging stations successfully designed for electric vehicles.
Manish Kurre, Shailesh Deshmukh, Rajdeep Tandekar, Pratikanta Mishra, and Atanu Banerjee
Trans Tech Publications, Ltd.
In this paper, a novel low-cost digital controller to drive a buck converter fed voltage source inverter (VSI) based brushless DC (BLDC) machine has been proposed. This controller is designed to be implemented solely in digital platforms and has multiple numbers of predefined discrete duty ratios. In conjunction with buck converter fed VSI, the controller is beneficial to enhance the speed and resultant torque profile of BLDC motor drive as compared to conventional bang-bang or on-off controller. The controller also incorporates a current limiter to avoid the over-current loading of the motor. The sampling time and the design of the current limiter are mathematically derived in the paper. The working efficiency of the developed controller for the BLDC motor drive has been examined for various vital and steady-state conditions. The speed ripples, settling time, tolerance to the commanded speed, and load variations are validated and presented in this paper. The proposed controller has been performed and implemented in the field-programmable gate array platform and compared to generic pre-existing controllers to validate the cost-effectiveness of the controller.