Pareto Optimization of Optical Network in Electric Power Communication System Based on Genetic Algorithms
نویسندگان
چکیده
As current electric power communication network planning can hardly consider multiple design objectives simultaneously, we proposed a general optimization model of multiple objectives optical network planning in electric power communication systems, based on Pareto optimization and genetic algorithms. The optical network in power system is modelled mathematically and the total cost functional is a combination of the overall network burden and the building cost weighted by a regularization parameter. After a series of optimization with different regularization, a Pareto frontier is generated to illustrate the trade-off between the two conflicting objectives, which provides a unified framework for planning and can navigate the operators' intelligent decisionmaking. Numerical results illustrate our conclusions.
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