TY - GEN
T1 - Optimal Placement of Capacitor in the Distribution Grids using Dragonfly Algorithm
AU - Alhaider, Mohammed M.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The integration of capacitors into contemporary electric distribution grids is not merely a technical endeavor but a cornerstone for the evolution of modern power systems. This task carries undeniable importance, primarily due to the significant advantages it has on minimizing real power losses and supporting the grid's overall resilience and stability. Guided by this imperative, the research at hand meticulously and comprehensively evaluates strategies concerning the optimal positioning and incorporation of capacitors within such complex grids. This research presents a study on the optimal placement of capacitors within electric distribution grids. To achieve this, the innovative capabilities of the Dragonfly Algorithm, a novel and promising optimization approach, is employed. The algorithm is applied to the well-established benchmark IEEE 33-bus network. Simulation and results show a notable decline in both real and reactive power losses. Additionally, there's a tangible enhancement in the voltage profile, showcasing the method's proficiency.
AB - The integration of capacitors into contemporary electric distribution grids is not merely a technical endeavor but a cornerstone for the evolution of modern power systems. This task carries undeniable importance, primarily due to the significant advantages it has on minimizing real power losses and supporting the grid's overall resilience and stability. Guided by this imperative, the research at hand meticulously and comprehensively evaluates strategies concerning the optimal positioning and incorporation of capacitors within such complex grids. This research presents a study on the optimal placement of capacitors within electric distribution grids. To achieve this, the innovative capabilities of the Dragonfly Algorithm, a novel and promising optimization approach, is employed. The algorithm is applied to the well-established benchmark IEEE 33-bus network. Simulation and results show a notable decline in both real and reactive power losses. Additionally, there's a tangible enhancement in the voltage profile, showcasing the method's proficiency.
KW - capacitor
KW - distributed generators
KW - dragonfly algorithm
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85183575774&partnerID=8YFLogxK
U2 - 10.1109/CIEES58940.2023.10378770
DO - 10.1109/CIEES58940.2023.10378770
M3 - Conference contribution
AN - SCOPUS:85183575774
T3 - CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems
BT - CIEES 2023 - IEEE International Conference on Communications, Information, Electronic and Energy Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Communications, Information, Electronic and Energy Systems, CIEES 2023
Y2 - 23 November 2023 through 25 November 2023
ER -