TY - GEN
T1 - Under voltage optimal load shedding scheme for islanded microgrids using iterative mapped differential evolution algorithm
AU - Abid, Md Shadman
AU - Ahshan, Razzaqul
AU - Abri, Rashid Al
AU - Al-Badi, Abdullah
AU - Onen, Ahmet
AU - Awad, Ahmed
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/12/8
Y1 - 2023/12/8
N2 - Maintaining frequency and voltage stability is crucial for the optimal functioning of an islanded microgrid connected to Distributed Generators (DGs). Conventional Under Voltage Load Shedding (UVLS) schemes must effectively identify the optimal amount of load to shed and the optimal voltage profile of microgrids, culminating in excessive or insufficient load shedding. Therefore, this research proposes Iterative Mapped Differential Evolution Algorithm (IMDEA) to achieve an optimal solution for an optimal load-shedding technique. A constrained function with total remaining load and static Voltage Stability Margin (VSM) index was used to assess the optimal load shedding technique. In addition, the proposed IMDEA algorithm is compared with some of the contemporary metaheuristics algorithms applied in this domain, such as the Slime Mould Algorithm (SMA), Backtrack Search Algorithm (BSA), and the Differential Evolution Algorithm (DEA). The IEEE 33-bus system is utilized as the test system in this study. The results show that the IMDEA outperforms all the algorithms in the objectives investigated.
AB - Maintaining frequency and voltage stability is crucial for the optimal functioning of an islanded microgrid connected to Distributed Generators (DGs). Conventional Under Voltage Load Shedding (UVLS) schemes must effectively identify the optimal amount of load to shed and the optimal voltage profile of microgrids, culminating in excessive or insufficient load shedding. Therefore, this research proposes Iterative Mapped Differential Evolution Algorithm (IMDEA) to achieve an optimal solution for an optimal load-shedding technique. A constrained function with total remaining load and static Voltage Stability Margin (VSM) index was used to assess the optimal load shedding technique. In addition, the proposed IMDEA algorithm is compared with some of the contemporary metaheuristics algorithms applied in this domain, such as the Slime Mould Algorithm (SMA), Backtrack Search Algorithm (BSA), and the Differential Evolution Algorithm (DEA). The IEEE 33-bus system is utilized as the test system in this study. The results show that the IMDEA outperforms all the algorithms in the objectives investigated.
KW - Differential Evolution Algorithm
KW - Iterative map
KW - Load shedding
KW - Microgrid
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85186743197&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85186743197&partnerID=8YFLogxK
U2 - 10.1109/EICT61409.2023.10427756
DO - 10.1109/EICT61409.2023.10427756
M3 - Conference contribution
AN - SCOPUS:85186743197
T3 - 2023 6th International Conference on Electrical Information and Communication Technology, EICT 2023
BT - 2023 6th International Conference on Electrical Information and Communication Technology, EICT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Electrical Information and Communication Technology, EICT 2023
Y2 - 7 December 2023 through 9 December 2023
ER -