TY - GEN
T1 - A comprehensive multi-objective design for optimal load restoration
AU - Esmaili, M. R.
AU - Heydarian-Forushani, Ehsan
AU - Saad Al-Sumaiti, Ameena
AU - Haes Alhelou, Hasan
N1 - Funding Information:
ACKNOWLEDGEMENT This research work is supported by Khalifa University, Abu Dhabi, UAE under award number-FSU-2018-25.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/18
Y1 - 2020/10/18
N2 - Load restoration procedure alongside synchronization of parallel subsystems taking into account the impacts of cold loads has attracted significant attention particularly from system operators' point of view to perform the restoration process in a short time. This paper presents a novel framework to coordinate the load restoration and standing phase angle (SPA) reduction problems with the aim of determining the optimal restorable load amount at each load point considering effect of temperature on the load pickup process. The objective function includes three terms including minimization of energy not supplied (ENS), SPA and the total recovered energy in all stages of load restoration process. Due to conflict of the objectives, a multi-objective model has been developed and the Pareto frontier has been constructed through craw search algorithm (CSA). To assess the effectiveness of the model, a 32 bus power system has been selected. The obtained results confirms the model validity.
AB - Load restoration procedure alongside synchronization of parallel subsystems taking into account the impacts of cold loads has attracted significant attention particularly from system operators' point of view to perform the restoration process in a short time. This paper presents a novel framework to coordinate the load restoration and standing phase angle (SPA) reduction problems with the aim of determining the optimal restorable load amount at each load point considering effect of temperature on the load pickup process. The objective function includes three terms including minimization of energy not supplied (ENS), SPA and the total recovered energy in all stages of load restoration process. Due to conflict of the objectives, a multi-objective model has been developed and the Pareto frontier has been constructed through craw search algorithm (CSA). To assess the effectiveness of the model, a 32 bus power system has been selected. The obtained results confirms the model validity.
KW - Crow search Algorithm
KW - Load restoration
KW - Multi-objective design
KW - Pareto optimal set
KW - Standing Phase Angle reduction
UR - http://www.scopus.com/inward/record.url?scp=85097767072&partnerID=8YFLogxK
U2 - 10.1109/IECON43393.2020.9254796
DO - 10.1109/IECON43393.2020.9254796
M3 - Conference contribution
AN - SCOPUS:85097767072
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 2519
EP - 2524
BT - Proceedings - IECON 2020
PB - IEEE Computer Society
T2 - 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Y2 - 19 October 2020 through 21 October 2020
ER -