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King Fahd University of Petroleum & Minerals

Electrical Engineering Department

Assistant Professor

Ali T. Al-Awami

 

My Research Works

Active and Completed Projects
   
Integrating AGC to Generation Scheduling for Real-Time Optimization of Systems with Significant Renewable Penetrations
A.T. Al-Awami (PI), M. Khalid (Co-I), and Le Xie (Consultant-Texas A&M University).
Project # RG171003, Budget: SR 170,610, Duration: Apr. 2018 – Apr. 2020
Funded by KFUPM's Deanship of Scientific Research
We aim to provide a novel integrative approach that combines AGC and control-based generation scheduling into one framework. This builds on the fact that optimal generation scheduling can be converted from an optimization problem activated only in discrete instants of time into a feedback control problem that continuously adjusts the generators’ set points. However, control-based generation adjustment is not sufficiently fast to maintain frequency deviation within acceptable levels. Hence, automatic generation control (AGC) is still needed to ensure fast action. This framework will be able to achieve efficient system frequency control while continuously operating the system in an optimal manner, which is essential for grids with significant renewable penetrations.
 
Implementation of secured smart metering system
W. Mesbah (PI) and A. T. Al-Awami (Co-I)
Project # IN161035, Budget: SR 170,100, Duration: Sep. 2017 – Aug. 2018
Funded by KFUPM's Deanship of Scientific Research
We explore the practical challenges in the implementation of a novel method for securing the readings of smart electricity meters against tampering or malfunctioning. The novel method applies the idea of linear error-correcting block codes, which has originally been used in detecting and correcting errors in data transmission, to detect and correct customer attacks aimed at changing the readings of the smart electricity meters and take corrective actions accordingly.
 
Communication-Free Charging Management of Electric Vehicles
A. T. Al-Awami (PI), M. A. Abido (Co-I), and E. Sortomme (Ext. Consultant)
Project # 14-ENE360-04-R, Budget: SR 1,789,040, Duration: Dec. 2015 – Nov. 2017
Funded by King Abdulaziz City of Science and Technology - NSTIP
 
 
A Market-based Planning Tool for the Utilization of Energy Storage and Electric Vehicles in a Smart Energy Grid
A. T. Al-Awami (PI), Z. Al-Hamouz, and E. Sortomme (Ext. Consultant)
Project # 14-ENE2897-04, Budget: SR811,381, Duration: Sep. 2015 – Aug. 2017
Funded by King Abdulaziz City of Science and Technology - NSTIP
 
 
Reducing Diesel Demand in Saudi Arabian Farming Sector using Solar PV System
S. A. Said (PI), A. T. Al-Awami, and I. M. El-Amin
Project # 13-ENE1727-04, Budget: SR749,428, Duration: Sep. 2015 – Aug. 2017
Funded by King Abdulaziz City of Science and Technology - NSTIP
 
National Power Network System (NPNS)
Ignacio Perez-Arriaga (MIT), and Oliver de Weck (MIT), Ali T. Al-Awami (KFUPM), Andres Ramos (Universidad Pontificia Comillas), Ayman Alabduljabbar (KACST), Fernando de Cuadra Garcia (Universidad Pontificia Comillas)
Nov. 2015 - Sep. 2017

Funded by MIT-KACST Center for Complex Systems (CCES)
To devise a planning tool for the integration of renewables in Saudi power grid, to develop a tool for efficient and cost-effective electrification of remote areas in the Kingdom, and to develop a tool for maximizing the benefits for member states of the GCC interconnection.
 
Self-healing and Reconfigurable resilient smart grid
KAUST: Jeff Shamma, Khaled Salama, and Meriem Laleg.
KFUPM: I. El-Amin, M. A. Abido, Ali. T. Al-Awami, and M. Al-Muhaini.
Sep. 2016 - Aug. 2018

Funded by KFUPM's DSR
To develop and devise new game theoretic based approaches for control and energy management of distributed energy resources.
 
A New Approach to Demand Side Management Using Electric Springs
M. A. Abido (PI) andA.T. Al-Awami (Co-I)
Project # RG1407-1 & RG1407-2
Funded by KFUPM's Deanship of Scientific Research
An electric spring is a power-electronic device that moderates the power consumption of non-critical electric appliances to manage the service-level voltage within acceptable ranges.
 
Optimal Dispatch of Electric Vehicles Performing Vehicle-to-Grid
A.T. Al-Awami (PI), M. A. Abido (Co-I), and E. Sortomme (Ext. Consultant)
Project # RG1404-1 & RG1404-2
Funded by KFUPM's Deanship of Scientific Research
The optimization problem to be formulated will aim to achieve the aggregator’s obligations in the ancillary service markets by following the system operator’s reference signals at the minimum dispatch cost.
 
Electric Vehicle Charge Control in a Smart Energy Grid
A.T. Al-Awami (PI), M. A. Abido (Co-I), and E. Sortomme (Ext. Consultant)
Project # RG1318-1 & RG1318-2
Funded by KFUPM's Deanship of Scientific Research
Two charging strategies for electric vehicles are proposed. The first strategy is meant to be used by an aggregator whose objective is to devise fuzzy-based charge scheduling using V2G services to enhance profitability. The second strategy relies on distributed controllers that modulate the charging rates of the EVs according to the local voltages at the charging points.
 
Stochastic Charging of Electric Vehicles
A.T. Al-Awami (PI)
Project # IN111045
Funded by KFUPM's Deanship of Scientific Research
A study to develop new tools for managing charging of electric vehicles considering the uncertainties associated with the EVs and the electricity markets.
 
Adaptive Channel Equalization Using Particle Swarm Optimization
A. Zeguine (PI), A.T. Al-Awami, and A. Al-Shaikhi
Project # RG1216-1 & RG1216-2
Funded by KFUPM's Deanship of Scientific Research
The objective is to develop a new PSO algorithm for adaptive channel equalization, that can achieve a satisfactory steady state error but with a reduced number of operations.
 

Tools for Integrating Wind Energy in Power Grid Operations

A.T. Al-Awami (PI)

Project # JF111001

Funded by KFUPM's Deanship of Scientific Research

Project # JF111001

A study to develop new tools for integrating wind energy resources in the operation of the power grid, taking into account the stochastic nature of this renewable resource

 
 
Power System Stability Enhancement Using Unified Power Flow Controllers
M.A. Abido (PI), Y.L. Abdel-Magid, and A.T. Al-Awami
Project # FT/2000-25
Funded by KFUPM's Deanship of Scientific Research
A study to investigate the potential of unified power flow controllers in damping low frequency oscillations using a simultaneous stabilization technique.
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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