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- W1589892810 abstract "Cooperative Co-evolutionary Approach (CCA) is a new architecture of evolutionary computation. Based on CCA, the paper proposes a new method for reactive power optimization problem in power system, which is non-convex, non-linear, discrete, and usually with a large number of control variables. According to the decomposition-coordination principle, the reactive power optimization problem is decomposed into a number of sub-problems, which is optimized by a single evolutionary algorithm population. The populations interact with each other through a common system model and co-evolve and result in the continuous evolution of the whole system. The reactive power optimization problem is solved when the co-evolutionary process ends. Simulation results show that compared with conventional Genetic Algorithm (GA), CCA not only can obtain better optimal results, but also has better convergence property. CCA reduce the over-long computational time of GA and is more suitable for solving large-scale optimization problems." @default.
- W1589892810 created "2016-06-24" @default.
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- W1589892810 date "2006-01-01" @default.
- W1589892810 modified "2023-09-23" @default.
- W1589892810 title "Cooperative Co-evolutionary Approach Applied in Reactive Power Optimization of Power System" @default.
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- W1589892810 doi "https://doi.org/10.1007/11881070_85" @default.
- W1589892810 hasPublicationYear "2006" @default.
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