Education:

• Ph.D. Electrical Engineering, Florida State University, GPA: 3.8, December 2020.

  Dissertation Title: Graph search-based management of distributed energy resources and coordinated voltage control.

• M.Sc. Electrical Engineering, Florida State University, GPA: 3.8, December 2018.

• B.Sc. Electrical and Electronic Engineering, American International University Bangladesh (AIUB), GPA: 3.92, May 2015.

Research Interests:

• Power system modeling and simulation.

• Optimization, machine learning and artificial intelligence.

• Multi-rate simulation of power system.

• Controller hardware in the loop simulation and verification.

Skills:

Coding: Matlab, Python, C, C++, C#, VHDL & Verilog.

Simulation platforms: Opal-RT (ARTEMiS, RT-XSG, ePHASORSIM), Simulink, Simscape Electrical™, OpenDSS.

Work Experience:

1. Graduate student researcher at the Center for Advanced Power Systems (CAPS), Florida State University 2016 – 2020.

• In charge of developing and validating power system control algorithms using controller hardware in the loop (CHIL) validation.

2. Real-time simulation intern for Power Systems Applications, Opal-RT office in Colorado, Summer 2019.

• Modeled and validated distribution systems in ePHASORSIM. Also, helped in developing conversion tools to convert OpenDSS and GridLAB-D™ models to ePHASORSIM models.

3. Power and Controls Engineering Intern, Nhu Energy, Inc. Summer 2020.

• In charge of maintaining and updating C++ code base for power system control.

4. Power and Controls Engineer, Nhu Energy, Inc. 2021 – Present.

• In charge of Developing, validating and implementing control strategies for optimum control of DERs.

Research:

1. Development of a Hybrid Simulation Software

• Developed electromagnetic transient (EMT) simulation tool and interfaced it with a quasi-static time series (QSTS) simulation tool (OpenDss) for studying PV impacts in distribution networks.

2. Fuzzy Logic Based Energy Storage Management System for MVDC Power System

• FPGA based VHDL implementation and controller hardware in the loop verification of a fuzzy logic based energy storage management system for MVDC all-electric ships.

3. Coordinated Voltage Control of Distribution Systems with Distributed Generations (DGs)

• Coordinated the use of available distributed generation (DG) with the traditional voltage regulation devices, taking into consideration the reactive power limits of the DG inverters to maintain the system voltage within predefined limits.

• Used the reactive power generation capacity of the DG inverters to cope with the dynamic generation of the DGs without increasing the operations of the traditional voltage regulation devices available.

• Developed and implemented a real-time CHIL testbed with DNP3 communication to validate the algorithm.

4. Graph Search Based Energy Management Strategy for Grid-Connected Distributed Energy Resources

• Optimized the operations of grid-connected DERs taking into account the forecasted future status (Real-time price, DG generation, Energy storage states, and Load forecasts) of the system.

• Formulated the optimization problem as a graph with discrete time and energy states of the system and using graph search to find the optimum solution.

• Developed and implemented a real-time CHIL testbed with DNP3 communication to validate the algorithm.

Publications:

Selected conference papers and presentations:

• A. Hariri, A. Newaz and Md. O. Faruque, “A Matlab-OpenDSS Hybrid Simulation Software for the Analysis of PV Impacts on Distribution Networks,” in ISA POWID Symposium, Charlotte, June 2016.

• Nikhil Gupta, Griffin Francis, Juan Ospina, Alvi Newaz, Emmanuel G Collins, Omar Faruque, Rick Meeker, Mario Harper, "Cost Optimal Control of Microgrids Having Solar Power and Energy Storage", 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D), 2018.

• Ospina, J., Harper, M., Newaz, A., Faruque, M. O., Collins, E. G., Meeker, R., & Ainsworth, N. (2019, August). Optimal Energy Management of Microgrids using Sampling-Based Model Predictive Control Considering PV Generation Forecast and Real-time Pricing. In 2019 IEEE Power & Energy Society General Meeting (PESGM) (pp. 1-5). IEEE.

• Newaz, Alvi, Juan Ospina, and M. Omar Faruque. "Coordinated Voltage Control in Distribution Systems with Distributed Generations." 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019.

Journal Publications:

• A. Hariri, A. Newaz and M. Faruque, "Open-source python-OpenDSS interface for hybrid simulation of PV impact studies", IET Generation, Transmission & Distribution, vol. 11, no. 12, pp. 3125-3133, 2017.

• M. Khan, M. Faruque and A. Newaz, "Fuzzy Logic Based Energy Storage Management System for MVDC Power System of All Electric Ship", IEEE Transactions on Energy Conversion, vol. 32, no. 2, pp. 798-809, 2017.

• J. Ospina, A. Newaz and M. Faruque, "Forecasting of PV Plant Output Using Hybrid Wavelet-Based LSTM-DNN Structure Model", IET Renewable Power Generation, 2019. Accepted manuscript, Available: 10.1049/iet-rpg.2018.5779 [Accessed 11 February 2019].

• A. Newaz, J. Ospina, and M. Faruque. "Controller Hardware in the Loop Validation of A Graph Search Based Energy Management Strategy for Grid-Connected Distributed Energy Resources." IEEE Transactions on Energy Conversion (2019).

• Ospina, J., Gupta, N., Newaz, A., Harper, M., Faruque, M. O., Collins, E. G., ... & Lofman, G. (2019). Sampling-Based Model Predictive Control of PV-Integrated Energy Storage System Considering Power Generation Forecast and Real-Time Price. IEEE Power and Energy Technology Systems Journal, 6(4), 195-207.

Patent application:

• Meeker RH, Faruque MO, Ospina J, Newaz A, Collins E, Francis G, Gupta N, inventors; Florida State University Research Foundation Inc, assignee. "Optimal control technology for distributed energy resources." United States patent application US 16/049,785. 2019 Jan 31.