Research on Weighted Least Square and Linear State Estimation Methods under Ill Condition of Power System
M.S.N.G. Sarada Devi1, T.V.L.N. Pavan Phani Kumar2, G.Yesuratnam3
1M.S.N.G. Sarada Devi, Electrical Department Osmania University, Hyderabad, Telangana, India.
2T.V.L.N. Pavan Phani Kumar, TATA Power-SED, New Delhi, India.
3Dr.G.Yesuratnam, Electrical Department Osmania Universities, Hyderabad, Telangana, India.
Manuscript received on February 02, 2019. | Revised Manuscript received on February 14, 2019. | Manuscript published on December 30, 2019. | PP: 5340-5344 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B5143129219/2019©BEIESP | DOI: 10.35940/ijeat.B5143.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A Jacobian matrix is said to be ill-conditioned if it is very sensitive to small changes. In this paper, the performance of Weighted Least Square (WLS) and Linear State Estimation (LSE) methods under stressed condition and ill condition of power system are compared. In weighted least square method, real/ reactive power injections flows with very few bus voltage magnitudes are used to obtain the state vector (bus voltages) for given network model. This method inclined to convergence errors when the system is in stressed state or ill condition state. In Linear State Estimation method, bus voltage and current measurements are used to obtain the state vector. Because of its linear nature, LSE method is suitable under stressed condition ill condition of power systems. IEEE 14 bus, 13 bus ill conditioned system and EHV 24 bus systems are used in matlab environment to examine the proposed (LSE) method and simulation results are summarized.
Keywords: State Estimation, WLS, Linear State Estimation.