Research Article
A Relay Station Deployment Algorithm for Smart Grid Based on Delay Optimization
@INPROCEEDINGS{10.1007/978-3-030-32216-8_7, author={Fanbo Meng and Baogang Zhang and Zhihao Zhao and Ang Li and Minlan Jiang}, title={A Relay Station Deployment Algorithm for Smart Grid Based on Delay Optimization}, proceedings={Simulation Tools and Techniques. 11th International Conference, SIMUtools 2019, Chengdu, China, July 8--10, 2019, Proceedings}, proceedings_a={SIMUTOOLS}, year={2019}, month={10}, keywords={Power line communication Smart grid Relay station}, doi={10.1007/978-3-030-32216-8_7} }- Fanbo Meng
Baogang Zhang
Zhihao Zhao
Ang Li
Minlan Jiang
Year: 2019
A Relay Station Deployment Algorithm for Smart Grid Based on Delay Optimization
SIMUTOOLS
Springer
DOI: 10.1007/978-3-030-32216-8_7
Abstract
Power line communication (PLC) technology can make full use of the existing distribution network physical network for data transmission in smart grid, with low cost, flexibility, high coverage, network reliability advantages. In order to extend the communication distance of PLC network and improve the reliability of network, it is necessary to research the networking and deployment methods of PLC network and establish a reasonable optimization model for different environments and business requirements. Therefore, in order to solve the problem of PLC relay deployment under the business scenario of power communication network, this paper proposes an algorithm of PLC network relay station deployment for time delay optimization. The graph theory is used to describe and define the reliability of the network. In order to reduce time delay, the reliability and transmission power are defined as constraints. The mathematical model of relay station deployment is proposed. The improved genetic algorithm is designed and the relay station deployment algorithm based on the improved genetic algorithm is proposed. The performance of the algorithm is verified by simulation results.