TY - GEN
T1 - Energy Management Algorithm for resilient controlled delivery grids
AU - Saleh, Mahmoud
AU - Esaahmed, Yusef
AU - Mohamed, A.
AU - Grebel, Haim
AU - Rojas-Cessa, Roberto
N1 - Publisher Copyright:
© IEEE.
PY - 2017/11/8
Y1 - 2017/11/8
N2 - 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 electric energy until all problems are resolved. The developed algorithm aims at granting most or all of the requested loads, while maintaining the health of the power system (i.e. the voltage at each bus, and the line loading are within acceptable limits), and minimizing the overall losses. An IEEE 30-bus standard Test Case, encountering a blackout condition, with high penetration of microgrids, has been used to test the developed algorithm. Results proved that the developed algorithm with the CDG have the potential to substantially increase the resilience of power systems.
AB - 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 electric energy until all problems are resolved. The developed algorithm aims at granting most or all of the requested loads, while maintaining the health of the power system (i.e. the voltage at each bus, and the line loading are within acceptable limits), and minimizing the overall losses. An IEEE 30-bus standard Test Case, encountering a blackout condition, with high penetration of microgrids, has been used to test the developed algorithm. Results proved that the developed algorithm with the CDG have the potential to substantially increase the resilience of power systems.
KW - Communication based control
KW - Controlled delivery grid
KW - Energy Management Algorithm
KW - Microgrid clustering
KW - Microgrids
KW - Resiliency
UR - http://www.scopus.com/inward/record.url?scp=85042691734&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85042691734&partnerID=8YFLogxK
U2 - 10.1109/IAS.2017.8101777
DO - 10.1109/IAS.2017.8101777
M3 - Conference contribution
AN - SCOPUS:85042691734
T3 - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
SP - 1
EP - 8
BT - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
Y2 - 1 October 2017 through 5 October 2017
ER -