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29 November 2021 Optimization of multi-node sensor coordinated layout in smart grid based on artificial fish swarm algorithm
Yahong Xing, Rijun Wang, Zeyuan Shen, Ende Hu, Qi Li, Zhuowen Zuo
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Proceedings Volume 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021); 1208003 (2021) https://doi.org/10.1117/12.2619605
Event: 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 2021, Nanchang, China
Abstract
With the development of smart grids, the requirements for online real-time monitoring of transmission lines are gradually increasing. Fiber sensors have both sensing and transmission functions, and are gradually being widely used in the field of online monitoring. Among them, the optimal configuration of the sensor becomes very important. In this paper, an improved artificial fish swarm algorithm is proposed to solve the optimal sensor configuration problem; the optimized configuration of the downhole flat cable structure sensor is simulated and analyzed, and its performance is compared with the particle swarm optimization (PSO) algorithm. The results show that the improved artificial fish school algorithm has obvious advantages in the convergence accuracy and convergence speed of the sensor optimal configuration problem. This method can effectively improve the coverage effect and device utilization, and reduce the cost consumption.
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Yahong Xing, Rijun Wang, Zeyuan Shen, Ende Hu, Qi Li, and Zhuowen Zuo "Optimization of multi-node sensor coordinated layout in smart grid based on artificial fish swarm algorithm", Proc. SPIE 12080, 4th International Symposium on Power Electronics and Control Engineering (ISPECE 2021), 1208003 (29 November 2021); https://doi.org/10.1117/12.2619605
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KEYWORDS
Sensors
Sensor networks
Optimization (mathematics)
Particle swarm optimization
Signal detection
Fiber Bragg gratings
Algorithm development
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