Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Controlled delivery grid (2)
- Line loading (2)
- Autonomous communication (1)
- CDG (1)
- Central controller (1)
-
- Centrality analysis (1)
- Centralized control (1)
- Communication based control (1)
- Complex network analysis (1)
- Complex network framework (1)
- Complex network theory (1)
- Critical loads (1)
- DC microgrid (1)
- DC microgrid control (1)
- DC rail transit systems (1)
- Electric distribution systems (1)
- Electric energy (1)
- Electric rail traction systems (1)
- Electrical devices (1)
- Empirical forms (1)
- FSM (1)
- Finite state machine (1)
- Ground inclination (1)
- IEEE 30-bus standard Test Case (1)
- IEEE 30-bus system (1)
- Increased grid resilience (1)
- Loads discretionary access (1)
- MG placement (1)
- Matlab (1)
- Microgrid reliability (1)
Articles 1 - 4 of 4
Full-Text Articles in Controls and Control Theory
Energy Management Algorithm For Resilient Controlled Delivery Grids, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed, Haim Grebel, Roberto Rojas-Cessa
Energy Management Algorithm For Resilient Controlled Delivery Grids, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed, Haim Grebel, Roberto Rojas-Cessa
Publications and Research
Resilience of the power grid is most challenged at power blackouts since the issues that led to it may not be fully resolved by the time the power is back. In this paper, a Real-Time Energy Management Algorithm (RTEMA) has been developed to increase the resilience of power systems based on the controlled delivery grid (CDG) concept. In a CDG, loads communicate with a central controller, periodically sending requests for power. The central controller runs an algorithm, based on which it may decide whether to grant the requested energy fully or partially. Therefore, the CDG limits loads discretionary access to …
Quantitative Analysis Of Regenerative Energy In Electric Rail Traction Systems, Mahmoud Saleh, Oindrilla Dutta, Yusef Esa, Ahmed Mohamed
Quantitative Analysis Of Regenerative Energy In Electric Rail Traction Systems, Mahmoud Saleh, Oindrilla Dutta, Yusef Esa, Ahmed Mohamed
Publications and Research
This paper aims at determining the influential factors affecting regenerative braking energy in DC rail transit systems. This has been achieved by quantitatively evaluating the dependence of regenerative energy on various parameters, such as vehicle dynamics, train scheduling, ground inclination and efficiency of the electrical devices. The recuperated power and energy have been presented by a mathematical model, comprising of a set of empirical forms, which allows for thorough analysis. A detailed simulation model of a typical DC-traction system has been developed to validate the developed empirical forms. The results verified the validity of the proposed mathematical model, and demonstrated …
Optimal Microgrids Placement In Electric Distribution Systems Using Complex Network Framework, Mahmoud Saleh, Yusef Esa, Nwabueze Onuorah, Ahmed Mohamed
Optimal Microgrids Placement In Electric Distribution Systems Using Complex Network Framework, Mahmoud Saleh, Yusef Esa, Nwabueze Onuorah, Ahmed Mohamed
Publications and Research
This paper provides a new approach to find the optimal location for Microgrids (MGs) in electric distribution systems using complex network analysis. An optimal location in this paper refers to a location that would result in increased grid resilience, reduced power losses, less line loading, higher voltage stability and secured supply to critical loads during power outage. The criteria used to find the optimal placement of MGs were based on the centrality analysis adopted from complex network theory, the center of mass concept used in physics, and the controlled delivery grid (CDG) concept. An IEEE 30-bus system was used as …
Centralized Control For Dc Microgrid Using Finite State Machine, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed
Centralized Control For Dc Microgrid Using Finite State Machine, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed
Publications and Research
In this paper, an autonomous communication-based centralized control for DC microgrids (MG) has been developed and implemented. The proposed controller enables smooth transition between various operating modes. Finite state machine (FSM) has been used to mathematically describe the various operating modes (states), and events that may lead to mode changes (transitions). Therefore, the developed centralized controller aims at optimizing the performance of MG during all possible operational scenarios, while maintaining its reliability and stability. Results of selected cases have been presented. These results show stable transition between modes, verifying the validity and applicability of the proposed controller.