A novel scheme of under frequency load shedding for a microgrid integrated with renewable energy resources
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Paper number
421
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Elzawawy, Ahmed, Benha University, Egypt
Ali, Mahmoud, Benha University, Egypt
Mekhemer, Said, Ain Shams university, Egypt
Bendary, Fahmy, Faculty of Engineering Shoubra Benha University, Egypt
Mansour, Wagdy, Benha University, Egypt
Ali, Mahmoud, Benha University, Egypt
Mekhemer, Said, Ain Shams university, Egypt
Bendary, Fahmy, Faculty of Engineering Shoubra Benha University, Egypt
Mansour, Wagdy, Benha University, Egypt
Abstract
The adaptive under frequency load shedding (UFLS) canbe used to stabilize the system frequency by shedding anappropriate amount of load depending on the disturbance occurred. However, not only the total load to be shed is not minimized in this scheme, but also it may be inaccurate calculation of power deficit if the system is subjected to cascading failures during the shedding process. In this paper, a novel UFLS scheme is presented to minimize the amount of load shedding and keep the minimum frequency within the acceptable limit during severe disturbances and cascading failures. The shed load is minimized using genetic algorithm (GA) according to an objective function based on the system frequency. Multi scenarios of contingences are performed on the proposed system to collect the training patterns for an artificial neural network (ANN). ANN can online determine the minimum amount of load shedding and keep the frequency within a safe margin. Although using the proposed scheme may cause the minimum frequency to be below the minimum frequency of the adaptive scheme but the proposed method can perform minimal load shedding in various disturbance scenarios. Results are provided in the form of time domain simulations via MATLAB/SIMULINK.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Published in
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/25
http://dx.doi.org/10.34890/59
http://dx.doi.org/10.34890/59
ISSN
2032-9644
ISBN
978-2-9602415-0-1