International Journal of Frontiers in Engineering Technology, 2021, 3(10); doi: 10.25236/IJFET.2021.031002.
Jianxun Wang1, Jia Li1, Chi Zhang2
1Beijing GD Power New Energy Technology Col, Ltd, ChaoYang 100101, Beijing, China
2Beijing ztxy Technology Co., Ltd, ChaoYang 100101 Beijing, China
Stable power supply is the guarantee for social and economic development and people's normal life. Under the social background of pursuing sustainable development, the realization of energy diversity, resource optimization deployment, power storage and user demand response has become the new development direction of the power system. In order to promote the effective connection between complex power systems and smart grids, it is necessary to use wireless sensor networks to implement distributed mobile coordinated control of the system. In this paper, the application of wireless sensor networks in complex power systems has been studied, and many issues such as distributed control, distribution routes, fault identification, information monitoring and user services in smart grids have been discussed. To ensure that the data transmission rate in the sensor network is maintained at a high level, the number of sensor nodes can be controlled between 50 and 55. Experimental data shows that the data transmission rate of the number of nodes in this interval is 95.37%. If the number of nodes is low, the problem of insufficient alternative paths is likely to occur. If the number of nodes is too high, the data transmission rate will also decrease due to location distance and power consumption. In order to ensure that the power system can realize the comprehensive management of power transmission and distribution under various complicated conditions, distributed control has stronger competitiveness than traditional centralized control.
Wireless Sensor Network, Complex Power System, Distributed Control, Topology Recognition Algorithm
Jianxun Wang, Jia Li, Chi Zhang. Distributed Mobile Cooperative Control of Complex Power System Based on Wireless Sensor Network. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 10: 14-26. https://doi.org/10.25236/IJFET.2021.031002.
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