• TAMAL GHOSH
• Dr. Alok Kumar Shrivastav

Prior to state estimation, an observability analysis must be performed to make sure the measurements (e.g. power injection and flow measurements) received can support the normal functioning of the state estimator. If the measurements cannot provide full observability of the network, the observability analysis function identifies the observable islands where state estimation can still be performed within the observable islands. In this thesis it is shown that the existing method may not correctly identify the observable islands in the so called pathological cases; the thesis proposes a new method for observability analysis that overcomes this problem. Furthermore the execution time of the proposed method is shorter than existing methods. To support the deployment of the SMT in state estimation, the thesis also proposes a new method for including the synchronised measurements in the observability analysis function.

Measurements, Power system, State estimation, Recursive estimation, Weighted least square, observability, Jacobian.

"Literature Survey of recursive static state estimation algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i155-i190, June-2023, Available :http://www.jetir.org/papers/JETIR2306819.pdf

"Literature Survey of recursive static state estimation algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi155-i190, June-2023, Available at : http://www.jetir.org/papers/JETIR2306819.pdf