Loss Evaluation Of Load Shedding In Power System Based On Fuzzy Kernel Clustering

Power system is the basis of nation-building. It is the lifeblood of the national economy. With the rapid development of the national economy, the rapid increase in living standards, modern society requires the grid to provide high quality and reliable supply of electricity. However, climatic disasters occur frequently in recent years to the system safe and stable operation of power has brought a huge threat, which has become a lot of important floods endanger the safe operation of the national power. Serious damage to the power system, resulting in a large area of the grid down the tower, tower damaged, break, fall off and the insulator flash over failure, resulting in a large area of long power outages, seriously affected the normal production and life, and to the power grid repair business heavy burden. For the development of rational disaster prevention and relief programs to reduce the economic impact of flood disasters, reasonably accurate assessment of the power loss under flood disaster has important theoretical significance and application value.First of all, this paper introduces the background and significance, pointing out that the impact of floods on the power system and introduces the present situation of assessment of load shedding in power system, which included the algorithm of Weighted Fuzzy Kernel-clustering Algorithm(WFKCA) and Differential Evolution(DE).Secondly, this paper considers the impact of uncertainty on flood flow storage system of risk assessment of power load shedding. This paper introduced in the flood flow to determine the conditions of storage power system load shedding damage assessment, analysis of the combined impact of floods on flood hydroelectric proposed load shedding when considering the safety of reservoirs of power system load shedding model to assess the flood generation power system loss. It analysis of the random nature of flood flows, and consider multiple correlation Reservoir flood flow is calculated multiple storage reservoirs joint probability distribution of flood flows, and further considering the flood disaster flood flow uncertainty, proposed based on chance constrained the power system load shedding assessment model. Then Weighted Fuzzy Kernel-clustering Algorithm(WFKCA) optimization problems is used to the improved weighted solve the clustering problem into a band constraints and After again and has been improved adaptive Differential Evolution(DE) algorithm combined to obtain the optimum solution.Finally, this paper uses Weighted Fuzzy Kernel-clustering Algorithm(WFKCA) and Differential Evolution(DE) to solve the load shedding system power loss evaluation model by Changde, Hunan Province as an example power system analysis and calculation. Through the joint probability distribution on the assessment of load shedding, load shedding algorithm to optimize the impact assessment, the impact on the confidence level and the sampling frequency load shedding assessment, optimization algorithm parameters to assess the impact of load shedding of four pilot programs to verify the constructed article evaluate the effectiveness of the system load shedding model and algorithm of electricity.