https://scholars.lib.ntu.edu.tw/handle/123456789/438548
標題: | A novel weather information-based optimization algorithm for thermal sensor placement in smart grid | 作者: | Jiang J.-A. Wan J.-J. Zheng X.-Y. Chen C.-P. Lee C.-H. Su L.-K. Huang W.-C. JOE-AIR JIANG |
關鍵字: | Dynamic thermal rating; Proper orthogonal decomposition; Sensor placement; Smart grid; Temperature distribution reconstruction | 公開日期: | 2018 | 卷: | 9 | 期: | 2 | 起(迄)頁: | 911-922 | 來源出版物: | IEEE Transactions on Smart Grid | 摘要: | Although dynamic thermal rating is an effective and proper tool in assisting the planning and operation decisions of a smart grid, it closely depends on the weather information to determine the deployment of large numbers of sensors. This paper proposes a method, named gappy proper orthogonal decomposition-based genetic algorithm (GPOD-GA) for effectively determining the minimum number of thermal sensors and the optimal placements. The middle section of 345 kV transmission lines in the Taipower system was selected as a test grid and hourly weather data obtained from the Central Weather Bureau of Taiwan was used to examine the validity of the proposed method. The results show that the proposed method can significantly reduce the number of sensors that should be originally deployed on each span of power grid lines. A decrease of 64.61% and 79.61% of sensor deployment is obtained for the case of the entire grid and the individual transmission lines, respectively. Using the partial measurements from the minimum sensor deployments determined by the GPOD-GA algorithm, the accuracy test results also indicate that conductor temperatures of all lines in the power grid can be fully tracked and accurately reconstructed. © 2016 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/438548 | ISSN: | 19493053 | DOI: | 10.1109/TSG.2016.2571220 | SDG/關鍵字: | Electric lines; Genetic algorithms; Optimization; Principal component analysis; Smart power grids; Dynamic thermal ratings; Proper orthogonal decompositions; Sensor placement; Smart grid; Temperature distribution reconstruction; Electric power transmission networks |
顯示於: | 生物機電工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。