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M.Tech Program in Power Systems Management
The changing scenario of power system industries and the growing need for technically skilled professionals, demand the traditional power engineers to be in sync with industry needs. To scrutinize this challenge, The Department of Electrical Engineering, MNIT Jaipur offers a unique program leading to the award of M.Tech. Degree in Electrical Engineering (Power Systems Management). This job-oriented course is designed with a proper blend of technical as well as managerial knowledge and also imparts programming skills required in industries, enabling the students for readily absorption in the Sector. This curriculum provides a cohesive understanding of system operation and control, system restructuring and deregulation, power market economics, data analytics, market and network regulation, renewable integration, and governance and policies.
Impart knowledge on electrical power system operation and planning and smart grid systems.
Impart knowledge and skills for decision making in rapidly evolving electricity and energy supply industry. Develop graduates with a strong understanding of electricity markets, renewable integration, smart grid systems, planning and data analytics.
Imbibe knowledge of modern programming tools (GAMS, PYTHON, PSS®E, MATLAB, etc.) for solving industry research challenges.
Enhance managerial skills with a strong understanding on underlying economics and regulation.
Develop a pool of trained scholars, professionals, officials and consultants for the exponentially growing industry segment.
Industry supported classes to pick up quick industry skills: Fulfils the learning gaps from a purely academic delivery of courses.
Industry internship after two semesters of course work, and placement after four semesters for the amply trained and highly employable graduates.
Collaborative research with top international universities and industries: Enhances value in terms of knowledge and exposure.
Industry internships on real industry challenges: Industry to benefit from deep research understanding of scholars.
Optimal Operation and Control of Power Systems
Power System Restructuring and Deregulation
Power Markets, Economics and System Operation
Smart Energy Management Systems
Seminar & Dissertation
Distributed Energy Integration
Machine Learning and Data Analytics
Power System Analysis
Energy Policy, Governance and Regulations
Electric Power Project Evaluation and Pricing
Power Systems Management Laboratory
Flexible AC Transmission Systems
Electricity Trading and Risk Management
Power System Planning and Reliability
Risk Assessment of Power Systems
AI Application to Power Systems Management
Modelling and Planning of Energy Systems
Power Distribution Systems
Sustainable Energy Sources
Stochastic Systems, Optimization and Control
Power System Analysis and Quality
Computer Methods in Power Systems
Service Quality Management
Integrated Energy Systems
Data Mining and Information Retrieval
Grid Connectivity and Smart Grid
Operational Research Methods and Project Economics
Power Systems Restructuring
Generation System Operation/Planning
Distribution Network Operation/Planning
Transmission System Operation/Planning
System Operation in Restructured Markets
Power Systems Economics
Electricity Markets
Congestion Management
Integration of Plug-in Electrical Vehicles
Network Pricing
Energy Policies
Energy Storage
Decision Making under Uncertainty
Smart Grid
Reactive Power Compensation
Generation and Load forecasting
Energy Planning and Management
AI Applications to Power Systems
Ancillary Services
Energy and Ancillary Services Trading
Virtual Energy Storage System
Peer to Peer Energy Trading
Risk Management
Block-Chain Technology
Computational Intelligence
Game Theory
Intelligent Systems
Machine Learning
ADMISSION
Who Can Apply
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Students seeking advanced knowledge of Power System & Smart Grid Engineering. Also, Professionals from Power & Energy Utilities, Government functionaries/ administrators, Power System Operators, Power System Planners, Power System Regulators, Public Sector Undertakings Officials, Consultants & Researchers who want to enhance knowledge about markets, pricing, regulations, operation and management of Power System.
Eligibility
The applicant should have Bachelor degree (B.Tech. / B.E.) in any of the following domains:
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Electrical Engineering
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Electrical Engineering (Power)
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Electrical Power Engineering
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Control & Electrical Engg.
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Electrical & Electronics Engg.
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Power Electronics
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Electrical Engineering & Industrial Control
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Electrical & Power Engg.
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Electronics & Electrical Engg.
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Electronics & Power Engg.
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Power Control & Drives
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Power Engineering​ or in related domains.
Duration​
Full Time:
2 Years
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Part Time
3 Years
You can download the programme brochure for full details:
More
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Relevant GATE Score Card for Eligibility: EE (applicable only for full time with assistantship)
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Industry - sponsored seats are available to support potential staff to attain M. Tech. degree in Power Systems Management.
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Admission opens every year in March-May. For more details click here or contact rbhakar.ee@mnit.ac.in
Batches
Dissertation: Cost benefit analysis of EV charging station
Skills: C, GAMS, MATLAB, PLC and Scada
Dissertation: Cloud energy storage
Skills: C/C++, GAMS, Python, MATLAB, CYME
Dissertation: NA
Skills: Python, MATLAB, GAMS
Dissertation: Cyber security in power systems
Skills: GAMS, Python, MATLAB, Machine learning
Dissertation: Energy storage market
Skills: C, GAMS, Python, Machine learning, MATLAB, MS Office
Dissertation: NA
Skills: C, Python, JAVA, MATLAB, GAMS
Dissertation: Load flow analysis of ac/dc hybrid microgrid
Skills: MATLAB, Power world simulator, PSpice simulation, Machine learning, Python
Dissertation: NA
Skills: MATLAB, Machine learning, Python, GAMS
Dissertation: Fault analysis in hybrid ac/dc microgrid
Skills: C, Python, MATLAB, GAMS, Power world simulator
Dissertation: AI in power systems
Skills: JAVA, C/C++, Python, MATLAB, GAMS, Machine learning
Dissertation: Multi-objective optimization for microgrid clusters
Skills: C/C++, MS Office, GAMS
Dissertation: Cyber security in power systems
Skills: C++, GAMS, Python, MATLAB, Machine learning
Dissertation: Transactive energy management
Skills: C, Python, GAMS, Machine learning
Dissertation: NA
Skills:MS Office, C, MATLAB, GAMS, Machine learning, Power world simulator
Dissertation: Blockchain in power systems
Skills: Java, C/C++, MATLAB, Python, GAMS, Power world simulator, Machine learning, MS Office
Dissertation: Operation of multi-energy microgrids under electricity market scenario
Skills: C, MATLAB, GAMS, Python, Electricity market analysis, Unit commitment
Dissertation: NA
Skills: Python, MATLAB
Dissertation: Frequency response adequacy under large-scale RE integration
Skills: C/C++, Energy policy and regulation, Google workspace
Dissertation: Short-term wind forecasting
Skills: Python, C, GAMS, Optimization
Dissertation: Optimal operation of microgrid
Skills: C, Python, MATLAB, GAMS, Power world simulator
Dissertation: Peer-to-Peer energy trading
Skills: Python, GAMS, Machine learning, Power world simulator
Dissertation: Load forecasting using AI
Skills: C/C++, Python, MATLAB, Machine learning
Dissertation: NA
Skills: C, Python, MATLAB
Dissertation: Combined heat and power
Skills: MATLAB, PLC and SCADA, Power world simulator, GAMS, Machine learning, Python, R
Dissertation: Blockchain in power systems
Skills: MS Office, MATLAB, Python, GAMS, Power world simulator, Machine learning
Dissertation: Wind power forecasting using Artificial Neural Network
Skills: C, Deep learning, Forecasting, GAMS, Java, Machine learning, MATLAB, Optimization, Python
Dissertation: Network Partitioning for parallel power system operation
Skills: Forecasting, GAMS, LaTeX, MATLAB, Optimal power flow, Python
Dissertation: Electric vehicle Battery Swapping station for densely populated area
Skills: Energy Management, Game Theory, Machine learning, Python
Dissertation: Mid-Term load forecasting by Artificial Neural Network
Skills: C, Deep learning, Forecasting, GAMS, Java, Machine learning, MATLAB, Optimization, Python
Dissertation: Impact analysis of Integrating Stochastic Renewables inelectricity pool market
Skills: Energy market analysis, GAMS, MATLAB, Machine learning, Python
Dissertation: Day-ahead electricity market clearing considering network contingencies
Skills: C, Contingency market clearing, GAMS, MATLAB, PSS®E Tool, PWSTool, Python
Dissertation: Feature selection based detection scheme using Machine Learning algorithms for power system security
Skills: Data Science, Machine learning, Python, R, SQL
Dissertation: Congestion management in distribution system
Skills: C, Congestion management, GAMS, MATLAB
Dissertation: Agent-based reconfiguration of distribution network
Skills: C, C++, Energy system management, Forecasting, Java, LaTeX, Machinelearning, MATLAB, Python, Unit commitment
Dissertation: Solar irradiance forecasting using ensemble approach based on Machine Learning
Skills: C, Deep learning, GAMS, Java, Machine learning, MATLAB, Python
Dissertation: Optimal scheduling of microgrid using Bio-Inspired Algorithm
Skills: C, C++, Energy system management, GAMS, LaTeX, MATLAB, Optimal power flow, Python, Unit commitment
Dissertation: Sizing optimization of a stand-alone Wind/PV power supply system with hybrid energy storage
Skills: DG modeling, Energy system management, GAMS, HTML, Java NetBeans, MATLAB, MySQL, Python, System Optimization
Dissertation: A PSO-trained Feedforward Neural Network for predicting the maximum power point of a photovoltaic array
Skills: Energy system management, GAMS, MATLAB, Python
Dissertation: Optimal power scheduling of hybrid power system
Skills: C, C++, LaTeX, Machine learning, MATLAB, Python
Dissertation: Energy management in microgrid
Skills: Energy system management, GAMS, MATLAB Simulink, Python
Dissertation: Optimal energy scheduling and management of smart home by considering the Degradation cost of ESD
Skills: BMS-Cell Balancing, C, Energy system management, LaTeX, MATLAB Simulink, Python
Dissertation: Network pricing for energy storage in distribution network
Skills: GAMS, LaTeX, Network pricing, System optimization
Dissertation: Load forecasting for rare events
Skills: C, Forecasting, LaTeX, Machine learning, MATLAB, Python
Dissertation: Integration of Transactive Energy in rural network electrification
Skills: C, GAMS, Python, System optimization, Scenario modelling, Transactive energy management
Dissertation: Interdependent operation coordination of power networks and transportation networks for Evs
Skills: GAMS, Distribution network modelling, Optimal power flow, Python, Unit commitment
Dissertation: Wind energy forecasting using Statistical models
Skills: C, Forecasting, GAMS, MATLAB, Python, R
N. B. HADIYA
Dissertation: A Game-Theoratic framework for implementing Peer-to-Peer energy sharing of rooftop solar energy
Present Affliation: Project Associate, TERI Delhi
C. P. BARALA
Dissertation: Operational planning framework to aggregate Virtual Energy Storage Systems for Ancillary services considering DLMP
Present Affliation: Research Scholar, MNIT Jaipur
DEEPAK SINGH
Dissertation: Analysis of DC faults in Multi-Terminal HVDC grid
Present Affliation: Research Scholar, MNIT Jaipur
DHEERAJ VERMA
Dissertation: Transmission system Congestion Management in a renewable integrated hybrid system
Present Affliation: Research Scholar, IIT Jammu
A. TAKSHAK
Dissertation: Modelling of Plug-in Electric Vehicle charging station using Queuing Theory and Neural Network
SAKSHI GUPTA
Dissertation: Optimal integration of Plug-in Electric Vehicles within adistribution network using Genetic Algorithm
Present Affliation: Research Associate, Bask Research Foundation Jaipur
SAPNA LADWAL
Dissertation: Network pricing in deregulated environment
Present Affliation: Research Scholar, NIT Kurukshetra
SHEFALI TRIPATHI
Dissertation: Reactive power compensation and Voltage management in the emerging grid
Present Affliation: Analyst, Idam Infrastructure Advisory Pvt. Ltd Mumba
SUNIL JANGID
Dissertation: Smart optimal charging scheduling of EVs for workplace Parking-Lot Operator (PLO)
Present Affliation: Lecturer, Govt. Polytechnic College Bikaner
UMESH SAINI
Dissertation: Time series forecasting of Agriculture feeder load and its impact on distribution grid
Present Affliation: Analyst, Idam Infrastructure Advisory Pvt. Ltd Mumbai