Development of cloud-based power system operational data management system

摘要

While approaching towards smart(er) grids, the volume of data increases significantly and thus, data management becomes extremely challenging. Power system operational data can be compressed effectively by differential binary encoding algorithm (DBEA) and extended-DBEA (E-DBEA). In the proposed smart DBEA encryption (S-DBEAE) algorithm, data is compressed either by DBEA or by E-DBEA and the obtained string is encrypted to ensure data security. Data management is done by appending few identity characters containing different data fields before the encrypted information. Though the compression ratio obtained with S-DBEAE is slightly lower than that obtained with DBEA (or E-DBEA), provision of data management makes S-DBEAE superior than DBEA or E-DBEA. The cloud-based real-time test bench developed for managing power system operational data comprises four personal computers connected through Internet. While managing generation scheduling information, inertia weight-particle swarm optimisation algorithm was employed to solve economic load despatch problem for two generating station system. As S-DBEAE can reduce the volume of system monitoring data considerably, the system can be realised for managing those data as well. Owing to the simplicity of the proposed system, it is possible to extend the work even with low-level microcontrollers by incorporating certain modifications.