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- W2390331012 abstract "In coevolutionary computation for reactive power optimization, partitioning control variables correctly and properly is the basis on which the algorithm can operate normally, and may also be the key point to obtain high performance of parallel computation. According to its relations to the grid partition problem in the secondary voltage control, the problem of control variables partition is converted into that of grid partition, of which the mathematical model is also formulated in this paper. And then the coding scheme of seed cluster is introduced and a novel partition method which can determine the number of the partitions is proposed. This method partitions the grid roughly in the initial stage to reduce the dimension of the problem using agglomerative hierarchical approach. By coding the information of the partition number into the chromosome, the new coding scheme overcomes the difficulties about determining the partition number. In the numerical simulation on IEEE 118-bus system, the new partition can determine the partition number automatically, and can group the control variables rapidly and correctly. The efficiency of coevolutionary computation can be promoted by this novel partition method greatly." @default.
- W2390331012 created "2016-06-24" @default.
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- W2390331012 date "2009-01-01" @default.
- W2390331012 modified "2023-09-25" @default.
- W2390331012 title "A Novel Partition Approach of Control Variables in Cooperative Coevolutionary Computation for Reactive Power Optimization" @default.
- W2390331012 hasPublicationYear "2009" @default.
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