Research of Fine and Robust State Estimation

Jing Li; Ya Di Luo; Yan Sheng Lang; Cheng Long Dou; Yu Zou; Zi Ming Guo; Dong Sheng Wang; Xin Peng Li

doi:10.4028/www.scientific.net/AMR.1008-1009.202

Paper Titles

Wind Power Prediction Model Based on ARMA and Improved BP-ANN
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Energy Efficiency Evaluation of Wind Energy Based on Energy Reports
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Vibration and Damping Analysis of Carbon Fiber Wind Turbine Blade with Viscoelastic Damping Treatment
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Study on Transient Stability of Circulation Economy Power System with High Penetration of Wind Power
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Research of Fine and Robust State Estimation
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Optimized Dispatch for Power Grid Connected with Wind Farm Based on Interval Simulation
p.207

Discussion and Application of Passive Hydrogen Recombiner in Qinshan Phase II Nuclear Power Plant
p.215

Research on the Assessment Standard for the Tidal Current Energy (TCE) Resource Calculation of China
p.221

Study on Performance of Ground Source Heat Pump Systems Based on Site Tests
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1008-1009Research of Fine and Robust State Estimation

Research of Fine and Robust State Estimation

Abstract:

According to the characteristics of the wind farm measuration, this paper presents a Fine and Robust State Estimation method for solving residual contamination problem caused by large-scale wind power integration. This method introduces the reference value of measurement type into the weight function and uses the pre-check information of state estimation measurement to do SCADA measurement pretreatment, and then form the bad data reference factor to assist positioning the bad data of measurement. Finally, the simulation tests of a regional power grid to prove that the proposed method can effectively identify telemetry bad data of wind farms eliminate residual pollution caused by it, which improve the accuracy of the State Estimation.

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Periodical:

Advanced Materials Research (Volumes 1008-1009)

Pages:

202-206

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1008-1009.202

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Online since:

August 2014

Authors:

Jing Li, Ya Di Luo*, Yan Sheng Lang, Cheng Long Dou, Yu Zou, Zi Ming Guo, Dong Sheng Wang, Xin Peng Li

Keywords:

Large-Scale Wind Power Integration, Reference Value of Measurement Type, Robust State Estimation, Weight Function

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