Research On Data Storage Optimizatiion And Task Scheduling Optimization Of The Smart Grid

Traditional power gird fails to meet electricity demands today with socio-economic development,which inspires a birth of smart grid which is in face of two major challenges.One is that extensive distribution and growing volume of gird-based data is blocked by its limited storage,analysis,statistics and processing.In addition,the surging data is overflowed and leaked due to insufficient storage by non-interactive links of information flow,resulted in undesirable task scheduling now.The paper is centered on research in following aspects to fix the above issues.Cloud system for smart gird is established in the help of cloud computing.The system aims to be a power-smart one integrated into generation,transmission,transformation,supply,overhead-distribution and dispatch.It is effective to serve two-way interaction and technical solutions,such as cloud storage,to insufficient storage amid up-dated gird.A deleted approach for duplicated data(DRSASG)is produced to Hash Collision depending on regular technology of the data-deletion.A block algorithm of ICDC is also worked out to manage data block to a proper degree so as to raise the duplication removal rates which is proved by an increased 2-4 per cent in laboratory.A multi-Qos model is evaluated to achieve a priority task.Its Greedy algorithm is adopted to plan tasks in the smart grid.The algorithm is testified to greatly improve cloud-system analysis process through stimulation experiments.And virtual machine load is lowered and the gird safety is advanced.Innovative points herein will facilitate smart gird development mixed with cloud-computing,including,establishment of the cloud-system,the duplication removal approach,the duplicated-data deletion by ICDC and Greedy algorithm on multi-Qos evaluation model.