| Grey series time-delay predicting model in state estimation for power distribution networks |
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| 作者姓名： | 蔡兴国 安天瑜 周苏荃 |
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| 作者单位： | Dept.of Electrical Engineering，Dept.of Electrical Engineering，Dept.of Electrical Engineering Harbin Institute of Technology，Harbin 150001，China，Harbin Institute of Technology，Harbin 150001，China，Harbin Institute of Technology，Harbin 150001，China |
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| 基金项目： | SponsoredbytheNationalNaturalScienceFoundationofChina(GrantNo.5 0 1770 0 6) |
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| 摘 要： | 0 INTRODUCTIONThereliesaneedforaccuratepredictivevalueinstateestimationofpowersystem .Asopposedtotheclosed loopedtransmissionsystems ,mostofpowerdistri butionnetworksuseopen loopedandradialarchitecture ,whichcharacterizesitsspecialproblemofcalculatingpre dictivevalue .Inclosed loopednetworks ,lineshavecom pactrelationships .Oneline’schangeofoperationstatemaycauseotherlines’changes .Onthecontrary ,inopen loopedandradialpowerdistributionnetwork ,onenode’schangesofoperationstateusuallyaf…
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Grey series time-delay predicting model in state estimation for power distribution networks |
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| CAI Xing guo,AN Tian yu ,ZHOU Su quan.Grey series time-delay predicting model in state estimation for power distribution networks[J].Journal of Harbin Institute of Technology,2003,10(2). |
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| Authors: | CAI Xing guo AN Tian yu ZHOU Su quan |
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| Affiliation: | Dept. of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China |
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| Abstract: | A new combined model is proposed to obtain predictive data value applied in state estimation for radial power distribution networks. The time delay part of the model is calculated by a recursive least squares algorithm of system identification, which can gradually forget past information. The grey series part of the model uses an equal dimension new information model (EDNIM) and it applies 3 points smoothing method to preprocess the original data and modify remnant difference by GM(1,1). Through the optimization of the coefficient of the model, we are able to minimize the error variance of predictive data. A case study shows that the proposed method achieved high calculation precision and speed and it can be used to obtain the predictive value in real time state estimation of power distribution networks. |
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| Keywords: | radial power distribution networks predicting model of time delay predicting model of grey series combined optimized predicting model |
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