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Chris S. Edrington

Florida State University · US
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Area of research
Control and Systems Engineering · Electrical and Electronic Engineering
Research interest
Research topics from publications: Role of Power Hardware in the Loop in Modeling and Simulation for Experimentation in Power and Energy Systems; Effective Energy Management of Hybrid AC–DC Microgrids With Storage Devices; Predictive Control for Energy Management in Ship Power Systems Under High-Power Ramp Rate Loads; Application of Artificial Intelligence to Real-Time Fault Detection in Permanent-Magnet Synchronous Machines; Power Flow Control and Network Stability in an All-Electric Ship; Real-Time Emulation of a High-Speed Microturbine Permanent-Magnet Synchronous Generator Using Multiplatform Hardware-in-the-Loop Realization; Robust adaptive droop control for DC microgrids; Real-Time Emulation of Switched Reluctance Machines via Magnetic Equivalent Circuits; Application of artificial intelligence to stator winding fault diagnosis in Permanent Magnet Synchronous Machines; Distributed energy management for ship power systems with distributed energy storage. Representative work: The area of modeling and simulation is a critical aspect in the basic research to commercialization and instantiation cycle. This paper reports on modeling and simulation in the context of verification, validation, and experimentation of power and energy systems and associated electrical apparatus via the utilization of power hardware in the loop (PHIL)-based strategies. PHIL is a powerful technique for testing and demonstration of systems in a rigorous and dynamic manner that is not achievable with other methodologies; however, it must only be conducted with foreknowledge of the technique and its challenges in order to realize its significant benefits. This paper reports on the state of the This paper proposes a stochastic framework for the optimal operation and management of hybrid ac-dc microgrids (MGs) in the presence of renewable energy sources (RESs) and storage devices. Hybrid ac-dc MGs can provide benefit over the traditional ac MGs by elimination of inverting equipment and reducing power losses caused by the ac-dc convertors. A stochastic load flow based on an unscented transform is employed to model the uncertainties of active and reactive loads, market power price, wind turbine, and photovoltaic output power. Additionally, a new powerful optimizer based on crow search algorithm (CSA) is devised to search the problem space. The proposed method uses a new two stage modi
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Recent publications

Distributed Constrained Optimization over Networked Systems via A Singular Perturbation Method and Application to Economic Dispatch
2020cited by 3position: middledoi
Distributed energy management for ship power systems with distributed energy storage
Journal of Marine Engineering & Technology 2019cited by 39position: firstdoi
Optimal energy-emission management in hybrid AC-DC microgrids with vehicle-2-grid technology
Journal of Renewable and Sustainable Energy 2019cited by 28position: middledoi
Enhancement of Energy Management in the Shipboard Power Systems Based on Recursive Distributed Load Shedding Model
2019cited by 11position: middledoi
MPC-Based Distributed Control for Intelligent Energy Management of AC Microgrids
Electric Power Components and Systems 2019cited by 5position: middledoi
An Evidence Theory Based Advisory Layer for All-Electric Ship Power Systems
2019cited by 2position: middledoi
Real-time Resiliency Assessment of Control Systems in Microgrids Using the Complexity Metric
2019cited by 2position: lastdoi
Large-Scale Distributed Control for MVDC Ship Power Systems
2018cited by 20position: middledoi
Distributed Power Management Implementation for Zonal MVDC Ship Power Systems
2018cited by 13position: lastdoi
Analysis of Linear Interface Algorithms for Power Hardware- in - the- Loop Simulation
2018cited by 7position: middledoi
Effective Energy Management of Hybrid AC–DC Microgrids With Storage Devices
IEEE Transactions on Smart Grid 2017cited by 153position: middledoi
Predictive Control for Energy Management in Ship Power Systems Under High-Power Ramp Rate Loads
IEEE Transactions on Energy Conversion 2017cited by 127position: middledoi
Robust adaptive droop control for DC microgrids
Electric Power Systems Research 2017cited by 86position: middledoi
Enhanced performance of PV power control using model predictive control
Solar Energy 2017cited by 27position: lastdoi
Distributed control implementation for zonal MVDC ship power systems
2017cited by 24position: lastdoi
Predictive energy management for MVDC all-electric ships
2017cited by 22position: lastdoi
An Effective Fuzzy Feature Selection and Prediction Method for Modeling Tidal Current: A Case of Persian Gulf
IEEE Transactions on Geoscience and Remote Sensing 2017cited by 17position: middledoi
Coordinating multiple energy storages using MPC for ship power systems
2017cited by 11position: lastdoi
Centralized MPC for multiple energy storages in ship power systems
IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society 2017cited by 11position: lastdoi
Evaluation framework for power and energy management shipboard distribution controls
2017cited by 10position: middledoi
High impedance fault detection utilizing real-time complexity measurement
2017cited by 9position: lastdoi
Dynamic Behavioral Observation in Power Systems Utilizing Real-Time Complexity Computation
IEEE Transactions on Smart Grid 2017cited by 9position: middledoi
Distributed adaptive control design for cluster of converters in DC distribution systems
2017cited by 9position: lastdoi
Predictive Control for Energy Management in Ship Power Systems under High-power Ramp Rate Loads
arXiv (Cornell University) 2017cited by 7position: middledoi
Evaluation of the Interface Accuracy for Power Hardware-in-the-Loop Experiments
Electric Power Components and Systems 2017cited by 4position: lastdoi
Distributed power management for DC distribution system with model uncertainties
2017cited by 1position: lastdoi
Optimal sensor placement for MVDC ship power system
2017cited by 1position: lastdoi
Seamless inverter control scheme for shore-to-ship application
2017cited by 1position: lastdoi
Steady-state stability analysis of regular circulant grids
2017cited by 1position: lastdoi
Real-Time Emulation of Switched Reluctance Machines via Magnetic Equivalent Circuits
IEEE Transactions on Industrial Electronics 2016cited by 78position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Tuyen Vu · Pacific Northwest National Laboratory20 papers (2016–2019)Hesan Vahedi · Florida State University14 papers (2017–2019)David Gonsoulin · Florida State University13 papers (2017–2019)Dallas Perkins · Florida State University12 papers (2017–2019)Behnaz Papari · Texas A&M University10 papers (2017–2020) · 10 papers (2015–2019)Fernand Diaz · Florida State University7 papers (2017–2019)M. Amin Salmani · Florida State University4 papers (2013–2015)Gökhan Özkan · Florida State University4 papers (2019–2020)Karl Schoder · Florida State University4 papers (2015–2018)Farzad Ferdowsi · Florida State University4 papers (2015–2019)Michael Steurer · Florida State University4 papers (2013–2018)Yaw D. Nyanteh · University of Houston4 papers (2013–2015)David A. Cartes · Florida State University4 papers (2013–2015)F. Fleming · Florida State University3 papers (2012–2016)Phuong H. Hoang · Florida State University3 papers (2019–2020)Ali Davoudi · University of Connecticut3 papers (2013–2014)Sanaz Paran · Florida State University3 papers (2016–2019)Sanjeev Srivastava · Florida State University3 papers (2013–2015)Fernand Díaz Franco · Florida State University2 papers (2017–2017)
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