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  • 标题:Hybrid State Estimation Approach for the Optimal Placement of Phasor Measurement Units
  • 本地全文:下载
  • 作者:S. Gayathri ; R. Meenakumari
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2013
  • 卷号:3
  • 期号:2
  • 页码:199-203
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Power systems are rapidly becoming populated by Phasor Meaurement Units (PMU). Compared to conventional one(SCADA), PMU has synchrophasor technology and it measures the dynamic behaviour of the system. Real time monitoring operations are done through PMU in the smart grid environment. Finding a suitable location for the placement of PMU is an optimization problem which could be solved by various Optimization technique. PMUs actually measure the system state instead of indirectly estimating it, the idea to improve the quality of state estimate is that inclusion of this type of data in a state estimator. For analysis, operation and planning of power system state estimation and load flow analysis is most important. A hybrid state estimation technique (fixing a PMU in the conventional load flow analysis) is applied for the test case system and the results are validated. The true value is obtained by load flow analysis and the estimated value is obtained by weighted least squares (WLS) state estimation technique. From the simulated results it is observed that the residue will be less if PMU data’s are included.
  • 关键词:Newton Raphson Method; PMU; State Estimation;Load Flow; Weighted Least Squares.
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