Linear Network Secondary Voltage Control Partition and Pilot Bus Identification Based on Cloud Model
Secondary voltage control partition is proposed to be performed using cloud model and based on the linear sensitivity between the real part of linear network pilot bus node voltage and the reactive part of node injection current.The central bus optimization selection method considering optimal objecct pretreatment is presented and realized by the artificial intelligence optimization algorithm.Every partition load node is transformed into the corresponding cloud droplets from the reactive power control space by cloud computing.The fuzziness and randomness of cloud model is employed to solved the soft voltage partition.The node load weight and controllability are combined for the optimized pretreatment and the treatment is realized by the improved particle swarm algorithm,improving the credibility of the optimized results and enhancing the efficiency of the global optimization.IEEE39 node transmission network simulation test results verify the effectiveness of the proposed method.
NETL
NSTL
万方数据
维普
