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基于改進(jìn)螢火蟲(chóng)算法優(yōu)化的電力光纖線(xiàn)路狀態(tài)預測模型研究
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Research on state prediction model of power optical fiber line based on firefly algorithm optimization
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    摘要:

    為了提升電力通信系統光纖線(xiàn)路狀態(tài)預測的準確率,提出一種基于改進(jìn)螢火蟲(chóng)(Firefly Algorithm, FA)算法優(yōu)化的電力光纖線(xiàn)路狀態(tài)預測模型(FA-ARIMA-GRU)。首先,針對FA尋優(yōu)過(guò)早收斂和尋優(yōu)精度低等問(wèn)題,對整體距離進(jìn)行指數加權平均,設計了迭代衰減步長(cháng)因子,并且對偏差修正進(jìn)行考慮,從而改善上述FA所存在的問(wèn)題;其次,將改進(jìn)的FA用于A(yíng)RIMA-GRU光功率預測模型輸入參數的優(yōu)化,從而在一定程度提升ARIMA-GRU預測模型輸入參數的準確性;最終,通過(guò)仿真試驗對FA-ARIMA-GRU預測模型的效果進(jìn)行驗證,結果表明FA-ARIMA-GRU預測模型具有較優(yōu)的預測效果,精準預測光功率值,提前掌握電力光纖的線(xiàn)路狀態(tài),預知光纖線(xiàn)路故障、有效規避故障和保障電力通信傳輸通暢不間斷。

    Abstract:

    In order to improve the accuracy of optical fiber line state prediction in power communication system, a power optical fiber line state prediction model (FA-ARIMA-GRU) optimized based on improved firefly algorithm (FA) algorithm is proposed. Firstly, aiming at the problems of premature convergence and low optimization accuracy of FA optimization, the overall distance is exponentially weighted average, the iterative attenuation step factor is designed, and the deviation correction is considered to improve the problems of FA; Secondly, the improved FA is used to optimize the input parameters of ARIMA-GRU optical power prediction model, so as to improve the accuracy of the input parameters of ARIMA-GRU prediction model to a certain extent; Finally, the effect of fa-arima-gru prediction model is verified through simulation test. The results show that FA-ARIMA-GRU prediction model has better prediction effect, accurately predict the optical power value, master the line state of power optical fiber in advance, predict optical fiber line faults, effectively avoid faults and ensure smooth and uninterrupted power communication transmission.

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孔歷波,毛一凡,歐陽(yáng)李亮,康愷,何超.基于改進(jìn)螢火蟲(chóng)算法優(yōu)化的電力光纖線(xiàn)路狀態(tài)預測模型研究計算機測量與控制[J].,2022,30(8):50-55.

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  • 收稿日期:2022-04-11
  • 最后修改日期:2022-05-09
  • 錄用日期:2022-05-09
  • 在線(xiàn)發(fā)布日期: 2022-08-25
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