1. ECE 576 – Power System Dynamics and Stability Prof. Tom Overbye Dept. of Electrical and Computer Engineering University of Illinois at Urbana-Champaign overbye@illinois.edu 1 Lecture 10: Reduced Order and Commercial Machine Models

2. Announcements Read Chapters 4 and 6 Homework 2 is posted on the web; it is due on Tuesday Feb 16 Midterm exam is moved to March 31 (in class) because of the ECE 431 field trip on March 17 We will have an extra class on March 7 from 1:30 to 3pm in 5070 ECEB – No class on Tuesday Feb 23, Tuesday March 1 and Thursday March 3 2

3. Network Expressions 3

4. These two equations can be written as one complex equation. 4 Network Expressions

5. 5 Stator Flux Expressions

6. 6 Subtransient Algebraic Circuit

7. 7 Subtransient saliency use to be ignored (i.e., assuming X" q =X" d ). However that is increasingly no longer the case

8. Network Reference Frame In transient stability the initial generator values are set from a power flow solution, which has the terminal voltage and power injection – Current injection is just conjugate of Power/Voltage These values are on the network reference frame, with the angle given by the slack bus angle Voltages at bus j converted to d-q reference by 8 Similar for current; see book 7.24, 7.25

9. Network Reference Frame Issue of calculating , which is key, will be considered for each model Starting point is the per unit stator voltages (3.215 and 3.216 from the book) Sometimes the scaling of the flux by the speed is neglected, but this can have a major solution impact In per unit the initial speed is unity 9

10. Simplified Machine Models Often more simplified models were used to represent synchronous machines These simplifications are becoming much less common but they are still used in some situations and can be helpful for understanding generator behavior Next several slides go through how these models can be simplified, then we'll cover the standard industrial models 10

11. Two-Axis Model If we assume the damper winding dynamics are sufficiently fast, then T" do and T" qo go to zero, so there is an integral manifold for their dynamic states 11

12. Two-Axis Model 12

13. Two-Axis Model 13

14. Two-Axis Model 14

15. Two-Axis Model 15 No saturation effects are included with this model

16. Two-Axis Model 16

17. Example (Used for All Models) Below example will be used with all models. Assume a 100 MVA base, with gen supplying 1.0+j0.3286 power into infinite bus with unity voltage through network impedance of j0.22 – Gives current of 1.0 - j0.3286 = 1.0526  -18.19  – Generator terminal voltage of 1.072+j0.22 = 1.0946  11.59  17 Sign convention on current is out of the generator is positive

18. Two-Axis Example For the two-axis model assume H = 3.0 per unit- seconds, R s =0, X d = 2.1, X q = 2.0, X' d = 0.3, X' q = 0.5, T' do = 7.0, T' qo = 0.75 per unit using the 100 MVA base. Solving we get 18 Sign convention on current is out of the generator is positive

19. Two-Axis Example And 19 Saved as case B4_TwoAxis

20. Two-Axis Example Assume a fault at bus 3 at time t=1.0, cleared by opening both lines into bus 3 at time t=1.1 seconds 20

21. Two-Axis Example PowerWorld allows the gen states to be easily stored. 21 Graph shows variation in E d ’

22. Flux Decay Model If we assume T' qo is sufficiently fast then 22 This model assumes that E d ’ stays constant. In previous example T q0 ’=0.75

23. Flux Decay Model This model is no longer common 23

24. Rotor Angle Sensitivity to Tqop Graph shows variation in the rotor angle as Tqop is varied, showing the flux decay is same as Tqop = 0 24

25. Classical Model Has been widely used, but most difficult to justify From flux decay model Or go back to the two-axis model and assume 25

26. Or, argue that an integral manifold exists for such that Classical Model 26

27. 27 Classical Model This is a pendulum model

28. Classical Model Response Rotor angle variation for same fault as before 28 Notice that even though the rotor angle is quite different, its initial increase (of about 24 degrees) is similar. However there is no damping

29. Subtransient Models The two-axis model is a transient model Essentially all commercial studies now use subtransient models First models considered are GENSAL and GENROU, which require X" d =X" q This allows the internal, subtransient voltage to be represented as 29

30. Subtransient Models Usually represented by a Norton Injection with May also be shown as 30 In steady-state  = 1.0

31. GENSAL The GENSAL model has been widely used to model salient pole synchronous generators – In the 2010 WECC cases about 1/3 of machine models were GENSAL; in 2013 essentially none are, being replaced by GENTPF or GENTPJ In salient pole models saturation is only assumed to affect the d-axis 31

32. GENSAL Block Diagram 32 A quadratic saturation function is used. For initialization it only impacts the Efd value

33. GENSAL Example Assume same system as before with same common generator parameters: H=3.0, D=0, R a = 0, X d = 2.1, X q = 2.0, X' d = 0.3, X" d =X" q =0.2, X l = 0.13, T' do = 7.0, T" do = 0.07, T" qo =0.07, S(1.0) =0, and S(1.2) = 0. Same terminal conditions as before Current of 1.0-j0.3286 and generator terminal voltage of 1.072+j0.22 = 1.0946  11.59  Use same equation to get initial  33 Same delta as with the other models

34. GENSAL Example Then as before And 34

35. GENSAL Example Giving the initial fluxes (with  = 1.0) To get the remaining variables set the differential equations equal to zero, e.g., 35 Solving the d-axis requires solving two linear equations for two unknowns

36. GENSAL Example 36 0.4118 0.5882 0.17 I d =0.9909  d ”=1.031 1.8 E q ’=1.1298  d ’=0.9614 3.460 E fd = 1.1298+1.8*0.991=2.912

37. Comparison Between Gensal and Flux Decay 37

38. Nonlinear Magnetic Circuits Nonlinear magnetic models are needed because magnetic materials tend to saturate; that is, increasingly large amounts of current are needed to increase the flux density 38 Linear

39. Saturation 39

40. Saturation Models Many different models exist to represent saturation – There is a tradeoff between accuracy and complexity Book presents the details of fully considering saturation in Section 3.5 One simple approach is to replace With 40

41. Saturation Models In steady-state this becomes Hence saturation increases the required E fd to get a desired flux Saturation is usually modeled using a quadratic function, with the value of Se specified at two points (often at 1.0 flux and 1.2 flux) 41 A and B are determined from the two data points

42. Saturation Example If Se = 0.1 when the flux is 1.0 and 0.5 when the flux is 1.2, what are the values of A and B using the 42

43. Implementing Saturation Models When implementing saturation models in code, it is important to recognize that the function is meant to be positive, so negative values are not allowed In large cases one is almost guaranteed to have special cases, sometimes caused by user typos – What to do if Se(1.2) < Se(1.0)? – What to do if Se(1.0) = 0 and Se(1.2) <> 0 – What to do if Se(1.0) = Se(1.2) <> 0 Exponential saturation models have also been used 43