POWER SYSTEM STATE ESTIMATION - IIT Mandi

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Power System State Estimation• To obtain the best estimate of the state of the systembased on a set of measurements of the model of thesystem.• The state estimator uses Set of measurements available from PMUs System configuration supplied by the topologicalprocessor, Network parameters such as line impedances asinput. Execution parameters (dynamic weightadjustments…)
Power System State Estimation (Cont.,)• The state estimator providesBus voltages, branch flows, …(state variables)Measurement error processing resultsProvide an estimate for all metered and unmeteredquantities.Filter out small errors due to model approximations andmeasurement inaccuracies;Detect and identify discordant measurements, the socalledbad data.
Page 1 and 2: POWER SYSTEMSTATE ESTIMATIONPresent
Page 3 and 4: Introduction• Transmission system
Page 5: Objectives of State Estimation• O
Page 9 and 10: Power System State Estimation (Cont
Page 11 and 12: Consider a Simple DC Load Flow Exam
Page 13 and 14: Case with all meters have small err
Page 15 and 16: State Estimation: determining our b
Page 17 and 18: (Cont.,)‣Least Absolute Value(LAV
Page 19 and 20: (Cont.,)•12 2PDF( ) exp( / 2 )2
Page 21 and 22: Weighted least Squares-State Estima
Page 23 and 24: (Cont.,)• The type of Newton‟s
Page 25 and 26: (Cont.,)•J( x)xT 1H R (e H x) 0T
Page 27 and 28: (Cont.,)• To derive the [H] matri
Page 29 and 30: (Cont.,)•est1est25 2.5 0- 5 0 -40
Page 31 and 32: Solution of the weighted least squa
Page 33 and 34: (Cont.,)• Critical measurement: A
Page 35 and 36: Bad Data Detection and Identificati
Page 37 and 38: Chi-square probability density func
Page 39 and 40: (Cont.,)• The degrees of freedom
Page 41 and 42: Bad Data Identification•'(zi zi)
Page 43 and 44: Bad Data Analysis-Example•
Page 45 and 46: (Cont.,)• Forming the H matrix we
Page 47 and 48: (Const.,)•z1z23.01544Azz349.00123
Page 49 and 50: (Cont.,)•4f e / 100(0.00877) 100(
Page 51 and 52: (Cont.,)•' 1 T 1Rii(I HG H R )ReN
Page 53 and 54: Conclusion• Real time monitoring

POWER SYSTEM STATE ESTIMATION - IIT Mandi

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