Aiming at the shortcomings of current methods of Bad Data Detection and Identification in Power System, this paper advances a new method to identify bad data of power system based on the enhanced gravitation search-fuzzy c-mean algorithm (EGSA-FCM). By using the enhanced gravity search algorithm (EGSA), a better initial solution to search the measurement data uploaded by SCADA system is obtained. Then, FCM algorithm was used to obtain the classification of benign data and bad data. Finally, through the COS clustering validity judgment index, the optimal clustering number is determined and the optimal clustering results and bad data were obtained. This method has already been applied to the IEEE14 node power system and a regional power grid in Daqing. The results indicated that the proposed method is more accurate than the traditional ones and effectively avoid the occurrence of false detection and missed detection.

With the rapid development of economy, the demand for oil is increasing day by day. MEOR has the advantages of low cost and no pollution to the environment, attracted widespread attention. In this paper, the dynamic characteristics of microbial enhanced oil recovery were studied by laboratory experiments. The result showed that all the microbial flooding recovery rate could reach more than 5%, and the total recovery could reach more than 35% and if the injection period of microbial composite system was advanced, the whole oil displacement process could be shortened and the workload would be reduced.

Strains of microbial enhanced oil recovery technology is the use of crude oil directly in growth and the same time the metabolites of itself, so as to enhance oil recovery. Experimental study on paper through a number of data analysis. The growth and metabolism of three kinds of oil producing bacteria in the core are determined, and the corresponding growth curve is obtained. The parameter sensitivity analysis of the microorganism flooding process by homogeneous core is studied, and the influence of injection capacity and injection volume on the oil displacement effect is studied. The same permeability, water, temperature and other conditions, microbial injection pressure has a certain degree of increase than water flooding. Injection volume depends on the actual input-output ratio, quantity is 0.3PV is more reasonable.