TY - GEN
T1 - Positioning of Reactive Voltage Compensator Based on Genetic Algorithm in Distribution Network
AU - Wang, Meng
AU - Yi, Hao
AU - Yang, Zebin
AU - Zhang, Ziqian
AU - Zhuo, Fang
AU - Tao, Ran
AU - Zhu, Chengzhi
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Voltage quality is an important aspect of power quality and a stable voltage amplitude is significant for network security and operational economy. Reactive voltage compensation is mostly paid attention on the transmission grid side, while the reactive voltage on the distribution grid side is rarely noticed. Compensating the reactive voltage of each node is uneconomical, so using a small amount of treatment equipment to meet the voltage requirements of each node of the distribution network is quite necessary. In this paper, a genetic algorithm-based method is developed for positioning of reactive voltage compensator. The effectiveness of the algorithm is verified by a 4-node system. The results indicate that the proposed genetic algorithm-based method can effectively calculate the position of the compensator.
AB - Voltage quality is an important aspect of power quality and a stable voltage amplitude is significant for network security and operational economy. Reactive voltage compensation is mostly paid attention on the transmission grid side, while the reactive voltage on the distribution grid side is rarely noticed. Compensating the reactive voltage of each node is uneconomical, so using a small amount of treatment equipment to meet the voltage requirements of each node of the distribution network is quite necessary. In this paper, a genetic algorithm-based method is developed for positioning of reactive voltage compensator. The effectiveness of the algorithm is verified by a 4-node system. The results indicate that the proposed genetic algorithm-based method can effectively calculate the position of the compensator.
KW - Distribution Network
KW - Genetic Algorithm
KW - Optimal Configuration
KW - Reactive Power Compensation
UR - https://www.scopus.com/pages/publications/85077136727
U2 - 10.1109/ICEMS.2019.8921737
DO - 10.1109/ICEMS.2019.8921737
M3 - 会议稿件
AN - SCOPUS:85077136727
T3 - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
BT - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Y2 - 11 August 2019 through 14 August 2019
ER -