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- W2374520111 abstract "In view of the time-driving transmission mode of nodes in the network-controlled reactive power optimization(RPO) system,an improved multi-objective evolutionary algorithm was proposed.Firstly,the time-driving and event-driving transmission modes of nodes in the network control system(NCS) were analyzed.To deal with the data packet dropout of the time-driving mode,the model of the network-controlled multi-objective RPO system was established.The redundancy-removal and maintaining process was introduced.Secondly,a differential evolutionary(DE) algorithm based on double populations searching scheme was presented.It solved the local optimization problem of the multi-objective optimization.The constraints were processed to the feasible and infeasible solutions populations.The mutation and crossover operations were also modified to improve the speed and performance of optimal searching.Finally,the simulations and analysis were made on IEEE 30-bus system.The results show that the proposed algorithm can make the system to achieve its approximate optimal state.The convergence rate,uniformity and approximation are also greatly much improved." @default.
- W2374520111 created "2016-06-24" @default.
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- W2374520111 date "2012-01-01" @default.
- W2374520111 modified "2023-09-24" @default.
- W2374520111 title "Evolutionary algorithm for network-controlled multi-objective reactive power optimization" @default.
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