Sandeep Bishla
@mriirs.edu.in
PhD Research Scholar - School of Engineering & Technology
Manav Rachna International Institute of Research and Studies, Faridabad
Sandeep Bishla is pursuing PhD in Electrical & Electronics Engineering (Faculty of Engineering & Technology) with Manav Rachna International Institute of Research and Studies (MRIIRS University), Faridabad (India). He is engaged in a sustainability research project, with a particular emphasis on artificial intelligence applied to electric vehicles (EVs) and the best way to charge them using PV solar energy in conjunction with a smart grid. He earned his Bachelor's (B.Tech) in EEE from Maharishi Dayanand University, Rohtak HR and a Master's (M.Tech) in EE-Power Systems from Hindu College of Engineering, Sonipat (Haryana, India) affiliated with DCRUST, Murthal Haryana, India. He is a Life Member of ISTE, SEEM, SPE, NCC and a Student Member of NSPE, USA & IEEE. He wrote 5 books in the fields of engineering, management, and research. He issues 5 patents for topics of EV & solar related. He has published more than 6 research articles on SCI, SCOPUS, IEEE & reputable international and nation
EDUCATION
PhD Research Scholar
Master's (M. Tech) in Power System (EE),
Postgraduate in Operation Management,
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Energy, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Sandeep Bishla and Anita Khosla
Wiley
As a sustainable mode of transportation, electric vehicles (EVs) are gaining popularity, and their integration with the power grid and photovoltaic (PV) solar systems is essential for their widespread adoption. Solar PV and EV systems have improved based on the generation and demands of the power grid. However, incorporating EV chargers with the grid and PV solar systems can cause power quality issues and stability problems that can impact the charger's performance and affect the charging procedure. EV technologies are divided into two major components: electric propulsion systems and EV charging systems. The electric propulsion system delivers the necessary energy for the EV motor in an EV system. In addition, with higher penetration, EVs and PVs are anticipated to emerge as new participants in the energy market operation and can play a crucial role in redefining the market. Many have integrated into the electricity network to reach renewable energy sources (RES), such as wind and solar PV. The study concludes that continued research and development are necessary to upgrade the power quality and solidness of EV charging frameworks, to ensure the seamless integration of PV solar systems and electric vehicles into the grid, and to promote sustainable transportation.
Sandeep Bishla and Anita Khosla
Wiley
AbstractNowadays, grid‐tied solar photovoltaic (SPV) and electric vehicles (EV) are escalating owing to the large penetration of EVs into the transportation sector. In addition, the battery energy storage system benefits the EV application by ensuring power under varying supplies. In this proposed work, the honey badger optimization algorithm (HBOA) is used for energy management in battery‐connected solar PV. The battery scheduling is done by controlling the DC link voltage using HBOA. The HBOA has better exploration and exploitation behavior; thus, it could not be trapped in the local optima, and the deviation in voltage can be reduced. In the grid‐integrated PV system, DC into AC conversion should concern power quality (PQ) and switching frequencies. The static synchronous compensator (STATCOM) is connected at the grid side to address this issue. The STATCOM provides rapid regulation of dynamic powers to minimize the harmonics and voltage unbalances. This work proposes the fuzzy fractional order proportional integral derivative (F2OPID) to enhance voltage regulation and reactive power (RP) compensation. The proposed work is implemented on the MATLAB/Simulink tool, and the results are evaluated using existing methods. The results indicate that the proposed method improves the PQ with a lower total harmonic distortion (THD) of 0.76% for voltage and 0.79% for current, respectively.
Sandeep Bishla and Anita Khosla
IEEE
Renewable energy is becoming one of the sustainability solutions for the future energy demand and regarding the industries, it is going to be mandatory for a long-term solution. Although grids are becoming healthier day by day and the World is moving towards Zero Carbon emissions. Most industries are running on fossil fuel Gensets, which is not an economical nor a long-term solution. In INDIA State Governments are encouraging and imposing PV Solar installation in industries to overcome the energy crisis in the coming times, as grids are becoming day by day more heavily loaded. A recent survey shows that Delhi is now the most polluted city in India resulting in the closing of all the thermal and gas power generation stations as they were creating pollution. To overcome this situation Grids, play a very important role as they are a single source to feed energy to industries, so to make the grid more powerful sustainable renewable energy sources need to be added as much as possible. During daytime energy demand is higher and PV solar is the best solution to meet this demand, industries need to take initiatives in this regard. The rooftop is the best location for any industry to install PV as the roof is the most ignored and underutilized space. With the help of PVSYS and STAAD software, we can find out the exact requirement and capacity of the structure to handle 170km/hr of wind pressure and also the dynamic load of the PV module. Capacity is calculated based on space available on the roof. The work represents a case study of with the whole project’s specifications. Identify the power quality problem that was noticed right after installation and the techniques of mitigation that were implemented in order to improve the system’s PQ.
Sandeep Bishla and Anita Khosla
Elsevier BV
Sandeep Bishla and Ashwani Kumar
IEEE
Solar Energy utilization is very less in compare to availability of resource and PV technology is widely used for many application. Solar energy as main source of supply, for controlling the load voltage FLC logic is implemented, which is one of the best utilized tool of Artificial Intelligence (AI). Solar output is controlled in precise manner with the help of FLC controller in adjoining with buck boost converter, by which we controlled MPPT of solar PV output. Being commonly used industrial drive, DC Motor is used as inductive load. In this article, FLC is used in comparison to PI Controller for control the speed performance of a separately excited DC Motor. Power quality issues are considered to reduce the burden in the isolated PV system. Starting torque with a smooth speed up is achieved in DC Motor which further improve power quality and reduce initial transient. For efficiently regulating & controlling the speed of DC Motor here control strategy implemented. Results confirm that the FLC improved the rise time by 65.401ms & overshoot limited to 0.5% in comparison to PI controller.
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INDUSTRY EXPERIENCE
25 Years Experience in Switchboard Industry