AVAILABLE TRANSFER CAPABILITY ASSESSMENT IN A RESTRUCTURED ELECTRICTY MARKET

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    AVAILABLE TRANSFER CAPABILITY ASSESSMENT IN A RESTRUCTURED ELECTRICTY MARKET - Presentation Transcript

    1. AVAILABLE TRANSFER CAPABILITY ASSESSMENT IN A RESTRUCTURED ELECTRICTY MARKET DEPARTMENT OF ELECTRICAL ENGINEERING NATIONAL INSTITUTE OF TECHNOLOGY KURUKSHETRA 06/12/09 1
    2. Static Modeling of Transmission Line Bus i Bus j Gij + j Bij j Bsh j Bsh Model of a simple Transmission line 06/12/09 2
    3. Power Flow Equations S ij = Vi ∠δ i .I ij * [ ] I ij = Vi ∠δ i − V j ∠δ j Yij + Vi ∠δ i . jBsh [ ] S ij = Vi ∠δ i { Vi ∠ − δ i − V j ∠ − δ j ( Gij − jBij ) − jBshVi ∠ − δ i } [ ] = Vi 2 − ViV j ∠δ ij ( Gij − jBij ) − jBshVi 2 = (Vi 2 ) − ViV j cos δ ij − jViV j sin δ ij ( Gij − jBij ) − jBshVi 2 = {Vi 2 } { } Gij − ViV j ( Gij cos δ ij + Bij sin δ ij ) + j − Vi 2 ( Bij + Bsh ) − ViV j ( Gij sin δ ij − Bij cos δ ij ) = Pij + jQij The real and reactive power flow equations from bus-i to bus- j can be written as : Pij = Vi 2 Gij − ViV j ( Gij cos δ ij + Bij sin δ ij ) Qij = −Vi 2 ( Bij + Bsh ) − ViV j ( Gij sin δ ij − Bij cos δ ij ) 06/12/09 3
    4. Power Flow Equations S ji = V j ∠δ j .I * ji [ ] I ji = V j ∠δ j − Vi ∠δ i Yij + V j ∠δ j . jBsh [ ] S ji = V j ∠δ j { V j ∠ − δ j − Vi ∠ − δ i ( Gij − jBij ) − jB shV j ∠ − δ j } [ ] = V j2 − ViV j ∠ − δ ij ( Gij − jBij ) − jBshV j2 = (V j 2 ) − ViV j cos δ ij + jViV j sin δ ij ( Gij − jBij ) − jBshV j2 = {V j 2 } { } Gij − ViV j ( Gij cos δ ij − Bij sin δ ij ) + j − V j2 ( Bij + Bsh ) + ViV j ( Gij sin δ ij + Bij cos δ ij ) = Pji + jQ ji The real and reactive power flow equations from bus-j to bus- i can be written as: Pji = V j2 Gij − ViV j ( Gij cos δ ij − Bij sin δ ij ) Q ji = −V j2 ( Bij + Bsh ) + ViV j ( Gij sin δ ij + Bij cos δ ij ) 06/12/09 4
    5. Transmission line modeling with regulating transformer Bus-i Bus-j nYij =n(Gij + jBij) n(n-1)Yij jBsh jBsh (1-n)Yij Model of simple transmission line with regulating transformer having off nominal tap ratio ‘n’. 06/12/09 5
    6. Power Flow Equations with off nominal tap ratio ‘n’ S ij = Vi ∠δ i .I ij * [ I ij = ( Vi ∠ δ i − V j ∠ δ j ) n( Gij + jBij ) + Vi ∠ δ i n( n − 1) ( Gij + jBij ) + jBsh ] [ S ij = Vi ∠δ i {(Vi ∠ − δ i − V j ∠ − δ j ) n( Gij − jBij ) + Vi ∠ − δ i n( n − 1) ( Gij − jBij ) − jBsh ]} = (Vi 2 − ViV j cos δ ij − jViV j sin δ ij )n( Gij − jBij ) + n 2Vi 2 Gij − nVi 2 Gij − j ( n 2Vi 2 Bij − nVi 2 Bij + Vi 2 Bsh ) = {n 2Vi 2 Gij − nViV j ( Gij cos δ ij + Bij sin δ ij )} + j{− Vi 2 ( n 2 Bij + Bsh ) − nViV j ( Gij sin δ ij − Bij cos δ ij )} = Pij + jQij The real and reactive power flow equations can be written as: Pij = n 2Vi 2 Gij − nViV j ( Gij cos δ ij + Bij sin δ ij ) ( ) Qij = −Vi 2 n 2 Bij + Bsh − nViV j ( Gij sin δ ij − Bij cos δ ij ) 06/12/09 6
    7. Transmission Loadability Curve (St. Clairs Curve) The St. Clair curve gives the estimation of loadability of transmission line in terms of their Surge Impedance Loading (SIL). It is well known that the per-unit line data normalized using SIL and Surge Impedance is constant, i.e. independent of line construction and voltage rating. 06/12/09 7
    8. Loadability Curve In the calculation of line loadability curve, the thermal rating of conductors, line voltage drop and steady state stability are the actual restrictive conditions. The extensive simulations and analyses have revealed that the thermal limitation, line-voltage-drop limitation and steady- statestability limitation are the main controlling factors for loadability of short, moderate and long lines respectively. Loadability of a line is limited by : (iii) thermal limitation (I2R losses) (ii) voltage regulation limitation, voltage stability limit 06/12/09 (iii) stability limitation 8
    9. Limits on Line Loadability 06/12/09 9
    10. Power Transfer Vs Line Length 06/12/09 10
    11. DYNAMIC LINE RATING OF TRANSMISSION LINES Dynamic Thermal Rating 06/12/09 11
    12. General Dynamic Rating Considerations The steady state thermal rating is the loading that corresponds to the maximum allowable conductor temperature under the assumption of thermal equilibrium. The dynamic security rating of the line is a function of the line admittance. As a minimum up to a 15% or 20% increase in the thermal rating of a transmission can be obtained with dynamic ratings. Even more can be expected when the transmission lines are loaded due to wind generation since wind will be blowing when the lines are loaded. 06/12/09 12
    13. General Dynamic Rating Considerations At higher wind velocities, the cooling of the transmission line reduces the sag there by making the transmission line available for more power transfers at the time the wind generation is adding to the power transfers. Dynamic rating of the line allows the transmission owner to monitor the weather conditions, sag / tension on the line in real time and to permit loadings that exceed the nominal rating. The most common practice is to calculate line nominal ratings based on coincident high ambient temperature, full solar radiation and effective wind speed of 0.61 m/s. Some utilities even assume an effective wind speed of 0.91 m/s, or higher. 06/12/09 13
    14. IEEE and CIGRE Standards IEEE (IEEE standard 738, 1993) and CIGRE (CIGRE, 1992, 1997, 1999) offer standard methods for the calculation of the transmission line ampacity in the steady state and dynamic states. Common utility practice of rating the transmission lines is based on the conservative assumptions of ambient temperature, wind speed, solar radiation and maximum conductor temperature: Ambient temperature: 40 deg C Wind speed: 0.61 m/s (2 ft/sec) Solar Radiation: 1000 W/m2 Maximum conductor temperature: 80 deg C 06/12/09 14
    15. IEEE Standard The solution of the differential equations for the heating of a conductor by current in the steady state and dynamic states requires the knowledge of the following metrological data as follows: • Ambient Temperature • Wind Speed • Wind Direction • Solar radiation The approach to increase the thermal line ratings encompasses several active tasks: • Develop thermal ratings standards, • Identify sources and magnitudes of errors in as-built sags at every temperature, • Accurate calculation of high temperature sags, • Probabilistic aspects of the line ratings • Real-time rating methodologies, etc 06/12/09 15
    16. Static and Dynamic Ratings The static ratings of the lines are determined based on the historical weather data in the region for different conductor types used in the region. Generally, static line ratings are fixed for a particular season of the year. Dynamic line ratings are computed by online or offline methods based on recorded data. Methods to increase the maximum conductor temperature involve physical modifications for the line structures to increase ground clearance in certain spans. The uncertainties of the sag at higher temperature can be resolved by monitoring the sag and tension at higher current carrying conditions. 06/12/09 16
    17. Static and Dynamic Ratings In the offline system, line ratings are obtained uniquely by monitoring weather conditions along the transmission line. The offline system may also include monitoring conductor sag by pointing a laser beam at the lowest point of the conductor in a span. Transmission lines are now being equipped with fiber optic network cables embedded in the core are used to carry useful information regarding the sag and temperature and eliminate the need for separate communication to supply data to the central processing station in order to determine the dynamic rating of the power lines. The latest advances in computation models involve probabilistic modeling of the conductor temperature to predict the loss of the tensile strength and permanent elongation of the conductor in the lifetime. 06/12/09 17
    18. Heat Balance Equation For Calculating Allowable Conductor Loading M = γ.A, conductor mass, kg/m A = conductor are, m2 Pj = joule heating, W/m PS = solar heating, W/m Pm = magnetic heating, W/m Pr = radiation heat loss, W/m PC = convection heat loss, W/m Tav = is the average of surface temperature and the core temperature of the conductor. 06/12/09 18
    19. Ampacity Calculation The ampacity is then calculated by using the formula: Where; Pr: Heat loss by radiation, PC: Heat loss by convection, PS: Heat gained by solar radiation, Rac: AC resistance of the conductor Effect of wind speed and direction on the Ampacity of the conductor: 06/12/09 19
    20. Conductor loading vs Wind speed and Direction Line Rating (Vs.) Wind Speed And Angle Of Incidence The above curves are for an ACSR cardinal conductor with a mean diameter of 0.0304m. The conductor initial temperature is assumed to be 80 deg C. 06/12/09 20
    21. Transmission Capability under Steady State Stability The power-carrying capability of the transmission system is generally evaluated by line loadability curve (St. Clair curve) which expressed in per unit of surge impedance load, SIL. In accordance with the steady state stability criterion of transmission Line Reference Book 345 kV and Above by EPRI, the steady-state stability margin 30% is taken, corresponding phase angle difference δ = 44 ° across the system terminals and margin of 5% for the voltage stability limit 06/12/09 21
    22. Power-carrying capability of different AC power transmission mode 06/12/09 22
    23. Compact Transmission Lines Operating 500 kV single-circuit compact transmission line and double circuit compact transmission lines 06/12/09 23
    24. Compact Transmission Lines Comparison of conductor configuration and tower 06/12/09 24
    25. Impact of Voltage stability limit Loadability curves of transmission line Loadability curves of transmission line (Uncompensated) (compensated) 06/12/09 25
    26. TRANSIENT STABILITY TRANSFER CAPABILITY OF DIFFERENT AC POWER TRANSMISSION MODE 06/12/09 26
    27. SOME TYPICAL POWER FREQUENCY PARAMETERS OF COMPACT AND CONVENTIONAL TRANSMISSION LINE 06/12/09 27
    28. ACSS (Aluminum Conductor Steel Supported) ACSS uses a fully annealed aluminum conductor around a steel core. The steel core provides the entire conductor support. The aluminum strands are “dead soft”, thus the conductor can be operated in excess of 200C without loss of strength. The maximum operating temperature of the conductor is limited by the coating used on the steel core (conventional galvanized coating can sustain 245C). Since the fully annealed aluminum cannot support significant stress, the conductor has a thermal expansion similar to that of steel. Tension in the aluminum strands is normally low. This helps to improve the conductor's self-damping characteristics and helps to reduce the need for dampers. 06/12/09 28
    29. ACSS/TW (Aluminum Conductor Steel Supported / Trapezoidal Wire) For ACSS/TW, the aluminum strands are trapezoidal in shape. The wedge shaped aluminum strands enable a more compact alignment of the aluminum wires. Conductor designs that maintain the same circular mil cross sectional area of aluminum as a conventional round conductor results in a TW conductor that is 10 to 15 percent smaller in overall diameter. Conductor designs that maintain the same overall diameter as a conventional round conductor result in a TW conductor that has 20 to 25 percent more aluminum cross-sectional area packed. 06/12/09 29
    30. ACCR (Aluminum Conductor Composite Reinforced) The Aluminum Conductor Composite Reinforced (ACCR) is a new type of bare overhead conductor containing a multi-strand core of heat-resistant aluminum composite wires, retains its strength at high temperatures and is not adversely affected by the environmental conditions, such as moisture and UV exposure. It’s lightweight and reduced thermal expansion properties allow the conductors to be installed on existing towers and requires no additional changes. The outer strands are composed of a temperature-resistant material (like aluminum-zirconium alloy), which permits operation at high temperatures (210ºC continuous, 240ºC emergency). The Al-Zr alloy is a hard aluminum alloy with properties and hardness similar to those of standard 1350-H19 aluminum but a microstructure designed to maintain strength after operating at high temperatures; that is, it resists annealing. 06/12/09 30
    31. AAAC (All Aluminum Alloy Conductors) AAAC is a high strength aluminum alloy, concentric-lay- stranded conductor and is similar in current carrying capacity as the equivalent size of ACSR. AAAC is similar in construction and appearance to ACSR. Aluminum Alloy Conductors have a number of advantages over the ACSR Lower power losses than for equivalent single aluminum layer ACSR conductors (the inductive effect of the steel core in ACSR is eliminated). • Simpler fittings than those required for ACSR • Excellent corrosion resistance in environments conducive to galvanic corrosion in ACSR. • Strength and sags are approximately same as for equivalent 6/1 and 26/7 ACSR conductors. 06/12/09 31
    32. Comparison of properties for different Transmission Conductors (DRAKE SIZE) 06/12/09 32
    33. Behavior of typical 6/1 ACSR with the behavior of ACSR/AW under increasing load 06/12/09 33
    34. Drake vs. Drake/AW 26/7, 795,000 cmil Drake vs. Drake/AW 54/7, 1-33,000 cmil Curlew vs. Curlew/AW Figure 2 06/12/09 34
    35. AVAILABLE TRANSFER CAPABILITY (ATC) Available Transfer Capability (ATC) is a measure of the transfer capability remaining in the physical transmission network for further commercial activity over and above already committed uses. ATC = TTC –TRM – {ETC + CBM}. In general, ATC = TTC – ETC. 06/12/09 35
    36. Total Transfer Capability (TTC): It is the amount of electric power that can be transferred over the interconnected transmission network in a reliable manner under a reasonable range of uncertainties and contingencies. It is more or less similar to the First Contingency Total Transfer Capacity (FCTTC). While determining TTC, system conditions, critical contingencies, system limits, parallel path flows and effects of non-simultaneous and simultaneous transfers are to be considered. 06/12/09 36
    37. Transmission Reliability Margin (TRM): It is defined as the amount of transmission transfer capability necessary to ensure that the interconnected network is secure under a reasonable range of uncertainties in the system conditions. 06/12/09 37
    38. Capacity Benefit Margin (CBM): It is the amount of transmission transfer capability reserved by the load serving entities to ensure access to generation from interconnected systems to meet generation reliability requirements. It also helps to reduce the installed capacity of the plant. 06/12/09 38
    39. Existing Transfer Commitments (ETC) refers to the power transfer capability that must be reserved for already committed transactions. Considering firm and non-firm transmission contracts, a particular load may be curtailed or recalled under specific conditions. ATC definition is further elaborated for such transactions using the terms curtailability and recallability. 06/12/09 39
    40. Curtailability is the right of the transmission service provider to interrupt all or part of the transmission service due to constraints that reduce the capability of the transmission system. Curtailment of loads occurs only when the system reliability is threatened or emergency conditions exist. 06/12/09 40
    41. Recallability is the right of a transmission service provider to interrupt all or part of the service for any reason, including economic, in consistence with the tariff and contract provisions and prevalent policy. Based on the recallability concept two commercial applications of ATC are defined as follows: Non-recallable Available Transfer Capability (NATC): NATC = TTC – TRM - {Non-recallable reserved transmission service + CBM } Recallable Available Transfer Capability (RATC): RATC = TTC – TRM - {Recallable reserved transmission Service 06/12/09 41 +Non-recallable reserved transmission Service + CBM }
    42. NEED & IMPORTANCE OF ATC • Shows the amount of maximum additional power transfer capability between the specified interfaces. • Ensures secure operation of the system • Firm and non-firm reservation of transmission service can be made on the basis of ATC. • Gives an idea of Congestion in the specified part of the system. • Can be used as a tool in transmission pricing. • The binding constraint for ATC can be used in planning and network expansion. 06/12/09 42
    43. Principles of ATC Determination The basic objective of the determination of ATC is to tell the market entities about the system limitations beforehand in terms of additional MW of power that can be transferred from one area to another. Since private parties are interested only in commercial aspects, it is the responsibility of the ISO to determine, update and post the current value of ATC for every time interval. Following are the governing principles for ATC determination ATC calculation must produce commercially viable results. ATCs produced by the calculations must give a reasonable and dependable indication of transfer capabilities available to the power market. 06/12/09 43
    44. ATC calculations must recognize time-variant power flow conditions on the entire inter-connected transmission network. ATC calculations must recognize the dependency of ATC on points of electric power injection, the directions of transfers across the interconnected transmission network, and the points of power extraction. Regional and wide-area co-ordination is necessary to develop and post the information that reflects the ATCs of the inter-connected transmission network. 06/12/09 44
    45. ATC calculations must conform to NERC (or equivalent regulatory guidelines in the specific country), regional, sub- regional, power pool, and individual system reliability and operating policies, criteria or guides. The determination of ATC must accommodate reasonable uncertainties in system conditions and provide operating flexibility to ensure the secure operation of the interconnected network. 06/12/09 45
    46. CONSTRAINTS TO ATC Static Constraints • Line thermal limits • Bus voltage limits • Reactive power generation limits Dynamic Constraints • Small signal stability limits • Large signal stability limits (transient limits) 06/12/09 46
    47. COMUPTATION OF ATC Static Mathods • Continuation power flow method • DC loadflow and PTDF based methods • Sensitivity based AC loadflow methods • Genetic algorithm based methods • Optimization based methods 06/12/09 47
    48. Dynamic ATC based Method Bifurcation approach method Trajectory sensitivity based methods Optimal power flow based methods incorporating transient stability constraints, dynamic constraints Hybrid approach (structure preserving function and time domain method) Adaptive wavelet neural network based approach 06/12/09 48
    49. Enhancement of ATC Using FACTS Controllers Types of FACTS Controllers 3. Thyristor Controlled Phase Angle Regulator TCPAR 4. Static Var Compensator SVC 5. Thyristor Controlled Series Compensator TCSC 6. SSSC 7. UPFC 8. GUPFC 9. IPFC 06/12/09 49
    50. Efficient Available Transfer Capability Analysis Using Linear Methods
    51. What is Available Transfer Capability (ATC)? • We are familiar with the terms – Total Transfer Capability (TTC) – Capacity Benefit Margin (CBM) – Transmission Reliability Margin (TRM) – “Existing Transmission Commitments” – Etc… • Then ATC is defined as – ATC = TTC – CBM – TRM – “Existing TC” 06/12/09 51
    52. Efficient Available Transfer Capability Analysis Using Linear Methods weber@powerworld.com Power Systems Software Developer PowerWorld Corporation Urbana, IL http://powerworld.com
    53. Available Transfer Capability • In broad terms, let’s define ATC as – The maximum amount of additional MW transfer possible between two parts of a power system • Additional means that existing transfers are considered part of the “base case” and are not included in the ATC number • Typically these two parts are control areas – Can really be any group of power injections. • What does Maximum mean? – No overloads should occur in the system as the transfer is increased – No overloads should occur in the system during contingencies as the transfer is increased. 06/12/09 53
    54. Computational Problem? • Assume we want to calculate the ATC by incrementing the transfer, resolving the power flow, and iterating in this manner. – Assume 10 is a reasonable guess for number of iterations that it will take to determine the ATC • We must do this process under each contingency. – Assume we have 600 contingencies. • This means we have 10*600 power flows to solve. • If it takes 30 seconds to solve each power flow (a reasonable estimate), then it will take 50 hours to complete the computation for ONE transfer direction! 06/12/09 54
    55. Why is ATC Important? • It’s the point where power system reliability meets electricity market efficiency. • ATC can have a huge impact on market outcomes and system reliability, so the results of ATC are of great interest to all involved. 06/12/09 55
    56. Linear Analysis Techniques in PowerWorld Simulator An overview of the underlying mathematics of the power flow Explanation of where the linearized analysis techniques come from
    57. AC Power Flow Equations • Full AC Power Flow Equations N ∆Pk = 0 = Vk2 g kk + Vk ∑ (Vm [ g km cos( δ k − δ m ) + bkm sin ( δ k − δ m ) ] ) − PGk + PLk m =1 m≠k N ∆Qk = 0 = −V b + Vk ∑ (Vm [ g km sin ( δ k − δ m ) − bkm cos( δ k − δ m ) ] ) − QGk + QLk 2 k kk m =1 • Solution requires iteration of equations m ≠k −1  ∂P ∂P   ∆δ   ∂δ ∂V   ∆P  =  ∆P  ∆V  =  ∂Q ∂Q  ∆Q  [ J] −1 ∆Q           ∂δ ∂V  • Note: the large matrix (J) is called the Jacobian 06/12/09 57
    58. Full AC Derivatives • Real Power derivative equations are ∂Pk ∂Pk = VkVm [ − g km cos( δ k − δ m ) − bkm sin ( δ k − δ m ) ] = Vk [ g km sin ( δ k − δ m ) − bkm cos( δ k − δ m ) ] ∂δ m ∂Vm ∂Pk N ∂Pk N = Vk ∑ [Vm [ − g km sin ( δ k − δ m ) + bkm cos( δ k − δ m ) ] ] = 2Vk g kk + ∑ [Vm [ g km cos( δ k − δ m ) + bkm sin ( δ k − δ m ) ] ] ∂δ k m =1 ∂Vk m =1 m≠k m≠k • Reactive Power derivative equations are ∂Q k ∂Q k = V k V m [ − g km cos( δ k − δ m ) − bkm sin ( δ k − δ m ) ] = V k [ g km sin ( δ k − δ m ) − bkm cos( δ k − δ m ) ] ∂δ m ∂V m ∂Qk N ∂Qk N = Vk ∑ [Vm [ g km cos( δ k − δ m ) + bkm sin ( δ k − δ m ) ] ] = −2Vk bkk + ∑ [Vm [ g km sin ( δ k − δ m ) − bkm cos( δ k − δ m ) ] ] ∂δ k m =1 ∂Vk m =1 m≠k m≠k 06/12/09 58
    59. Decoupled Power Flow Equations δ k − δ following assumptions • Make the m ≈ 0 Vk ≈ 1 rkm << xkm cos( δ k − δ m ) ≈ 1 g km ≈ 0 sin ( δ k − δ m ) ≈ 0 • Derivates simplify to ∂Pk N ∂Pk = ∑ bkm = −bkm ∂Pk =0 ∂Pk =0 ∂δ k m =1 ∂δ m ∂Vk ∂Vm m≠k ∂Qk N ∂Qk ∂Qk ∂Qk = −2bkk + ∑ (−bkm ) = −bkm ∂δ k =0 ∂δ m =0 ∂Vk m =1 ∂Vm m≠ k 06/12/09 59
    60. B’ and B’’ Matrices ∂P ∂Q = B' = B '' ∂δ ∂V • Define and • Now Iterate the “decoupled” equations [ ] ∆P ∆δ = B ' −1 ∆V = [B ] ∆Q'' −1 • What are B’ and B’’? After a little thought, we can simply state that… – B’ is the imaginary part of the Y-Bus with all the “shunt terms” removed – B’’ is the imaginary part of the Y-Bus with all the “shunt terms” double counted 06/12/09 60
    61. “DC Power Flow” • The “DC Power Flow” equations are simply the real part of the decoupled power flow equations – Voltages and reactive power are ignored – Only angles and real power are solved for by iterating ∆δ = B [ ] ' −1 ∆P 06/12/09 61
    62. Bus Voltage and Angle Sensitivities to a Transfer • Power flow was  ∆δ  −1  ∆P  solved by iterating ∆V  = [ J ] ∆Q      • Model the transfer as a change in the injections ∆P – Buyer: ∆T = [0 0 PF 0 PF 0] T ∑ PFBh = 1 N B Bf Bg – Seller: h =1 ∆TS = [ 0 PFSx 0 PFSy 0 0] N ∑ PFSz = 1 T • Assume buyer consists of z =1 – 85% from bus 3 and 15% from bus 5, then ∆TB = [ 0 0 0.85 0 0.15 0 ]T • Assume seller consists of – 65% from bus 2 and 35% from bus 4, then ∆TS = [ 0 0.65 0 0.35 0 0 ]T 06/12/09 62
    63. Bus Voltage and Angle Sensitivities to a Transfer • Then solve for the voltage and angle sensitivities by solving  ∆δ S  −1  ∆TS   ∆δ B  −1  ∆TB  ∆V  = [ J ]  0  ∆V  = [ J ]  0   S    B   ∆δ S , ∆δ B , ∆VS , and ∆VB • are the sensitivities of the Buyer and Seller “sending power to the slack bus” 06/12/09 63
    64. What about Losses? • If we assume the total sensitivity to the transfer is the seller minus the buyer sensitivity, then ∆δ = ∆δ S − ∆δ B ∆V = ∆VS − ∆VB • Implicitly, this assumes that ALL the change in losses shows up at the slack bus. • PowerWorld Simulator assigns the change to the BUYER instead by defining • Then ∆Slack S Change in slack bus generation for seller sending power to slack k= = ∆Slack B Change in slack bus generation for buyer sending power to slack  ∆δ   ∆δ S   ∆ δ B   ∆V  =  ∆ V  − k  ∆ V     S  B 06/12/09 64
    65. Lossless DC Voltage and Angle Sensitivities • Use the DC Power Flow Equations ∆δ = B ∆P [ ] ' −1 • Then determine angle sensitivities ∆δ S = [B ] ' −1 ∆TS ∆δ B = [B ] ' −1 ∆TB • The DC Power Flow ignores losses, thus ∆δ = ∆δ S − ∆δ B 06/12/09 65
    66. Lossless DC Sensitivities with Phase Shifters Included • DC Power Flow equations [ ] B ' ∆δ = ∆P • Augmented to include an equation that describes the change in flow on a phase-shifter controlled branch as being zero. • Thus instead of DC power flow equations we use Line Flow Change = B δ ∆δ + B α ∆α = 0 • Otherwise process is the same. −1  ∆δ   B ' 0  ∆P   ∆α  =       B δ Bα   0  06/12/09 66
    67. Why Include Phase Shifters? 230 kV Phase Shifter D MR5 00 MDN 500 • Phase Shifters are often on lower Canada I NG5 00 voltage paths (230 kV or less) R OS3 60 W AH3 60 CB K50 0 C UST ER W S EL 500 NLY 230 with relatively small limits SN OHO MS3 S NO HOM S4 C HIE F & 1 MON ROE CHI EF &2 C HIE F & 1 10 00 MW 19 9 M VR CHI EF J5 CHI EF JO 65 3 M W EC HOL AKE 653 M W 1 05 MV R 10 5 M VR C HI EF J3 C OUL EE 19 C OU LEE 20 C HIE F J 4 MAP LE VL C OUL EE SI CKL ER M APL E &1 CO UL EE& 1 ROC KY RH COU LEE &2 C OVI NG TN Weak Low • They are put there in order to C OU LEE &3 COV ING T2 COU LEE &4 115 kV Phase Shifter RA VER SCH ULT Z TA COM A O LY MPI A Voltage Tie HO T S PR B ELL B& 1 BE LL BPA VAN TAG E 67 0 M W manage the flow on a path that 17 7 M VR 30 MW 19 MVR SA TSO P CE NT R G 1 P AUL TAF T To Canada DWO R 2 D WOR 3 95 MW -4 5 M VR D WOR 1 DWO RS HAK HA NFO RD 769 MW 26 MVR HA TWA I H ANF OR& 1 A SHE LO W M ON would otherwise commonly see AS HE 2 L OW MON L IT GOO S LO W G RAN 1155 MW 101 MVR L IT GOO S LO W G RAN 769 MW 26 MV R GAR RIS &4 7 69 MW 5 MW GA RRI S& 2 26 MV R 2 M VR G ARR IS& 3 ALL STO N GA RRI S&1 SA CJA WEA BPA SAC JWA T MC NAR Y overloads CO YO D1 CO YOT E TRO UT DAL KEE LER JOH N D AY JOH N D AY BI G E DDY SL ATT MCL OUG LN CE LI LO ASH E &1 PEA RL BUC KLE &2 OS TRN DER BUC KLE Y J OH N D &1 AS HE &2 BOA RD F B OAR D F 540 MW 30 MW 114 MVR 15 MVR • Without including them in the MA RIO N GRI ZZL &2 SAN TIA M GR IZ ZL& 1 BUC KLE &1 AL VEY &2 sensitivity calculation, they ROU ND BU G RIZ ZLY LAN E P ON DRO SA A LVE Y P OND RO& 1 C AP TJA &5 G RIZ ZL& 3 constantly show up as ALV EY &1 CA PTJ A&4 GRI ZZL &4 P OND RO& 2 BUR NS B URN S & 2 SUM MER L BU RN S & 1 D IX ONV LE CAP TJA &3 GR IZZ L&5 MA LI N & 2 “overloaded” when using Linear CA PT JA& 2 GR IZZ L&6 D IXO NV& 1 CA PTJ A&1 G RIZ ZL &7 M ALI N & 1 ME RID INP M IDP OIN T BO RAH ATC tools MI DPO INT M ALI N C APT JAC K ADE LAI DE AD EL TAP OLI NDA &1 RO UND &1 115 kV Phase Shifter I DAH O-N V R OUN D & 2 R OUN D &4 RD MT 1M HUM BO LDT COY OTE CR ROU ND MT OLI NDA &2 V ALM Y California VAL MY G2 06/12/09 67
    68. Power Transfer Distribution Factors (PTDFs) • PTDF: measures the sensitivity of line MW flows to a MW transfer. – Line flows are simply a function of the voltages and angles at its terminal buses – Using the Chain Rule, the PTDF is simply a function of these voltage and angle sensitivities. • Pkm is the flow from bus k to bus m  ∂Pkm   ∂Pkm   ∂Pkm   ∂Pkm  PTDF = ∆Pkm =   ∆VK +   ∆Vm +   ∆δ K +   ∆δ m  ∂Vk   ∂Vm   ∂δ k   ∂δ m  Voltage and Angle Sensitivities that were just discussed 06/12/09 68
    69. Pkm Derivative Calculations • ∂PFullVAC equationsb   ∂Pkm    ∂δ  km m   k m [  = V g sin( δ − δ ) − km k m ( km cos δ k − δ m )]    ∂δ k   [ ( ) (  = VkVm − g km sin δ k − δ m + bkm cos δ k − δ m )]  ∂Pkm    ∂Vm  [ ( )  = Vk g km cos δ k − δ m + bkm sin δ k − δ m ( )]  ∂Pkm    ∂Vk  [ ( ) (  = 2Vk g kk + Vm g km cos δ k − δ m + bkm sin δ k − δ m )] • Lossless DC Approximations yield  ∂Pkm   ∂Pkm    = −bkm   = bkm  ∂δ m     ∂δ k     ∂Pkm   ∂Pkm   =0  =0 06/12/09  ∂Vk   ∂Vm  69
    70. Line Outage Distribution Factors (LODFs) • LODFl,k: percent of the pre-outage flow on Line K will show up on Line L after the outage of Line K • Linear impact of an outage is determined by modeling the outage as a “transfer” between the terminals of the line Change in flow on Line L after the outage of Line K ∆Pl ,k LODFl ,k = Pk Pre-outage flow on Line K 06/12/09 70
    71. Modeling an LODF as a Transfer Other Line l The Rest of System Create a transfer Switches defined by n m ∆Pn and ∆Pm Line k ~ Pk ∆n P ∆m P ~ Assume Pk = ∆Pn = ∆Pm 06/12/09 Then the flow on the Switches is ZERO, thus71 Opening Line K is equivalent to the “transfer”
    72. Modeling an LODF as a Transfer ~ • Thus, setting up a transfer of Pk MW from Bus n to Bus m is linearly equivalent to outaging the transmission line • ~ Let’s assume we know what P is equal to, then we can k calculate the values relevant to the LODF – Calculate the relevant values by using PTDFs for a “transfer” from Bus n to Bus m. 06/12/09 72
    73. Calculation of LODF • Estimate of post-outage flow on Line L ~ ∆Pl , k = PTDFl * Pk • Estimate of flow on Line K after transfer ~ ~ ~ Pk Pk = Pk + PTDFk * Pk Pk = • Thus we can write 1 − PTDFk  Pk  ~ PTDFl *   1 − PTDF   ∆Pl ,k PTDFl * Pk   LODFl ,k = = = k Pk Pk Pk • We have a simple function of PTDF values PTDFl LODFl ,k = 1 − PTDFk 06/12/09 73
    74. Line Closure Distribution Factors (LCDFs) • LCDFl,k: percent of the post-closure flow on Line K will show up on Line L after the closure of Line K • Linear impact of an closure is determined by modeling the closure as a “transfer” between the terminals of the line ∆Pl , k LCDFl , k = ~ Pk 06/12/09 74
    75. Modeling the LCDF as a Transfer Other Line l The Rest of System Net flow from rest Net flow to rest of of the system the system ∆n P ∆m P Create a “transfer” n Line k ~ m defined by Pk ~ ∆Pn and ∆Pm Assume Pk = ∆Pn = ∆Pm Then the net flow to and from the rest of the system are 06/12/09 75 both zero, thus closing line k is equivalent the “transfer”
    76. Modeling an LCDF as a Transfer ~ • Thus, setting up a transfer of− P MW from Bus n to Bus k m is linearly equivalent to outaging the transmission line • Let’s assume we know what ~ is equal to, then we can − Pk LODF. calculate the values relevant to the • Note: The negative sign is used so that the notation is consistent with the LODF “transfer” direction. 06/12/09 76
    77. Calculation of LCDF • Estimate of post-closure flow on Line L ~ ∆Pl ,k = PTDFl * ( − Pk ) • Thus we can write ~ ∆Pl ,k − PTDFl * Pk LCDFl ,k = ~ = ~ = − PTDFl Pk Pk • Thus the LCDF, is exactly equal to the PTDF for a transfer between the terminals of the line LCDFl ,k = − PTDFl 06/12/09 77
    78. Modeling Linear Impact of a Contingency 1 2 ...... nc M Contingent Lines 1 through nc Monitored Line M • Outage Transfer Distribution Factors (OTDFs) – The percent of a transfer that will flow on a branch M after the contingency occurs • Outage Flows (OMWs) – The estimated flow on a branch M after the contingency occurs 06/12/09 78
    79. OTDFs and OMWs • Single Line Outage OTDFM ,1 = PTDFM + LODFM ,1 * PTDF1 • Multiple Line Outage OMWM ,1 = MWM + LODFM ,1 * MW1 nC OTDFM ,C = PTDFM + ∑ [ LODFMK * NetPTDFK ] K =1 • What are and ? NetPTDFK NetMWK nC OMWM ,C = MWM + ∑ [ LODFMK * NetMWK ] K =1 06/12/09 79
    80. Determining NetPTDFK and NetMWK • Each NetPTDFK is a function of all the other NetPTDFs because the change in status of a line effects all other lines (including other outages). • Assume we know all NetPTDFs except for the first one, NetPTDF1. Then we can write: NetPTDF1 = PTDF1 + LODF12 NetPTDF2 + ... + LODF1nC NetPTDFnC nC = PTDF1 + ∑ [ LODF1K NetPTDFK ] K =2 • In general for each Contingent Line N, write nC 1.0 * NetPTDFN − ∑ [ LODF K =1 NK NetPTDFK ] = PTDFN K ≠N 06/12/09 80
    81. Determining NetPTDFK and NetMWK • Thus we have a set of nc equations and nc unknowns (nc= number of contingent lines) Known Values  1 − LODF12 − LODF13  − LODF1nC   NetPTDF1   PTDF1   − LODF 1 − LODF23  − LODF2 nC   NetPTDF2   PTDF2   21      − LODF31 − LODF32 1  − LODF3nC   NetPTDF3  =  PTDF3                   − LODFn 1 − LODFnC 2 − LODFnC 3  1   NetPTDFn   PTDFn   C  C   C  • Thus NetPTDFC = [ LODFCC ] PTDFC −1 • Same type of derivation shows NetMWC = [ LODFCC ] MWC −1 06/12/09 81
    82. Fast ATC Analysis Goal = Avoid Power Flow Solutions • When completely solving ATC, the number of power flow solutions required is equal to the product of – The number of contingencies – The number of iterations required to determine the ATC (this is normally smaller than the number of contingencies) • We will look at three methods (2 are linearized) – Single Linear Step (fully linearized) • Perform a single power flow, then all linear (extremely fast) – Iterated Linear Step (mostly linear, Contingencies Linear) • Requires iterations of power flow to ramp out to the maximum transfer level, but no power flows for contingencies. – (IL) then Full AC • Requires iterations of power flow and full solution of contingencies 06/12/09 82
    83. Single Linear Step ATC • For each line in the system determine a Transfer Limiter Value T  Limit M − MWM  ; PTDFM > 0  PTDFM  TM =  ∞ (infinite) ; PTDFM = 0   − Limit M − MWM ; PTDFM < 0  PTDFM  06/12/09 83
    84. Single Linear Step ATC • Then, for each line during each contingency determine another Transfer Limiter Value  Limit M − OMWM ,C  ; OTDFM ,C > 0  OTDFM ,C  TM ,C = ∞ (infinite) ; OTDFM ,C = 0   − Limit M − OMWM ,C  ; OTDFM ,C < 0  OTDFM ,C 06/12/09 84
    85. Important Sources of Error in Linear ATC Numbers • Linear estimates of OTDF and OMW are quite accurate (usually within 2 %) • But, this can lead to big errors in ATC estimates – Assume a line’s present flow is 47 MW and its limit is 100 MW. – Assume OTDF = 0.5%; Assume OMW = 95 MW – Then ATC = (100 - 95) / 0.005 = 1000 MW – Assume 2% error in OMW (1 MW out of 50 MW change estimate) • Actual OMW is 96 MW – Assume 0% error in OTDF – Actual ATC is then (100-96)/0.005 = 800 MW • 2% error in OMW estimate results in a 25% over-estimate of the ATC 06/12/09 85
    86. Single Linear Step ATC • The transfer limit can then be calculated to be the minimum value ofTM or TM ,Cfor all lines and contingencies. • Simulator saves several values with each Transfer Limiters • [Transfer Limit] • Line being monitored [Limiting Element] • Contingency T or T [Limiting Contingency] M M ,C • OTDF or PTDF value [%PTDF_OTDF] • OMW or MW value [Pre-Transfer Flow Estimate] • Limit Used (negative Limit if PTDF_OTDF < 0) Good for • MW value initially [Initial Value] filtering out errors 06/12/09 86
    87. Pros and Cons of the Linear Step ATC • Single Linear Step ATC is extremely fast – Linearization is quite accurate in modeling the impact of contingencies and transfers • However, it only uses derivatives around the present operating point. Thus, – Control changes as you ramp out to the transfer limit are NOT modeled • Exception: We made special arrangements for Phase Shifters – The possibility of generators participating in the transfer hitting limits is NOT modeled • The, Iterated Linear Step ATC takes into account these control changes. 06/12/09 87
    88. Iterated Linear (IL) Step ATC • Performs the following 1. Stepsize = ATC using Single Linear Step 2. If [abs(stepsize) < Tolerance] then stop 3. Ramp transfer out an additional amount of Stepsize 4. Resolve Power Flow (slow part, but takes into account all controls) 5. At new operating point, Stepsize = ATC using Single Linear Step 6. Go to step 2 • Reasonably fast – On the order of 10 times slower than Single Linear Step • Takes into account all control changes because a full AC Power Flow is solved to ramp the transfer 06/12/09 88
    89. Including OPF constraints in (IL) to enforce Interface Flows • When ramping out the transfer, Simulator can be set to enforce a specified flow on an interface. • This introduces a radical change in control variables that is best modeled by completely resolving using the OPF – The objective of the OPF is to minimize the total controller changes (sum of generator output changes) • Why would you do this? – Represent a normal operating guideline that is obeyed when transfers are changed. 06/12/09 89
    90. Example: Bonneville Power Administration (BPA) Operating procedures for BPA require them to maintain “interface” flows into Seattle in specific ranges 1000 MW 199 MVR 653 MW 105 MVR 653 MW 105 MVR (These are stability constraints!) 670 MW 177 MVR 30 MW 19 MVR Seattle 95 MW -45 MVR 769 MW 26 MVR 1155 MW 101 MVR 769 MW 26 MVR 769 MW 5 MW 26 MVR 2 MVR Interface Grande Flow Chief Jo Coulee 2000 MW 6800 MW 1000 MW 199 MVR 653 MW 653 MW 105 MVR 105 MVR A Lot of 06/12/09 Generation 90
    91. (IL) then Full AC Method • Performs the following 1. Run Iterated Linear Step and ramp transfer out ATC Value found 2. StepSize = 10% of the initial Linear Step Size saved during the (IL) method, or 50 MW whichever is larger. 3. Run Full Contingency Analysis on the ramped transfer state 4. If there are violations then change the sign of Stepsize 5. if [abs(stepsize) < Tolerance] then Stop 6. Ramp transfer out an additional amount of Stepsize and resolve Power Flow 7. At new operating point, Run Full Contingency Analysis 8. if [ (Stepsize > 0) and (There are Violation)] OR [ (Stepsize < 0) and (There are NO Violations)] THEN StepSize := -StepSize/2 9. Go to step 5 • Extremely slow. – “Number of Contingencies” times slower than the iterated linear. If you have 100 contingencies, then this is 100 times slower. (1 hour becomes 4 days!) 06/12/09 91
    92. Recommendations from PowerWorld’s Experience • Single Linear Step – Use for all preliminary analysis, and most analysis in general. • Iterated Linear Step – Only use if you know that important controls change as you ramp out to the limit • (IL) then Full AC – Never use this method. It’s just too slow. – The marginal gain in accuracy compared to (IL) (less than 2%) doesn’t justify the time requirements – Remember that ATC numbers probably aren’t any more than 2% accurate anyway! (what limits did you choose, what generation participates in the transfer, etc…) 06/12/09 92
    93. BIFURCATION THEORY A bifurcation occurs at any point in parameter space, at which the qualitative structure of the system changes for a small change in parameter vector, ‘p.’ The change may be in: 1. Number of equilibrium points 2. Number of limit cycles 3. Stability of equilibrium points or limit cycles or 4. Period of periodic solution. 06/12/09 93
    94. SADDLE NODE BIFURCATION (SNB) • A saddle node bifurcation is the disappearance of a stable equilibrium as parameters change slowly. Two equilibria – one stable and the other unstable coalesce. • Sensitivity w.r.t. the loading parameter of the critical state variable is infinite – infinite slope of the bifurcation diagram. • System Jacobian has a zero eigen value. 06/12/09 94
    95. HOPF BIFURCATION (HB) • Hopf bifurcation is characterized by the onset of oscillatory behaviour in a non-linear system. Power system initially operating at a stable equilibrium typically starts oscillating when parameters change slowly so that HB occurs. • A system which was previously in stable equilibrium moves into stable periodic oscillations as the critical parameter is slowly varied (Supercritical HB). • The oscillations may be non-periodic and unstable (sub- critical HB). • The rate of change of the real part of the eigenvalue is non- zero w.r.t. the loading parameter. 06/12/09 95
    96. MODELLING OF POWER SYSTEM COMPONENTS The important components of a Power System are: 2. Transmission Lines and Cables 3. Transformers 4. Generator 5. Excitation System 6. Load 06/12/09 96
    97. MODELS OF TRANSMISSION LINES, CABLES AND TRANSFORMERS • Nominal π-model has been considered for the transmission lines & cables. • The transformer with unity tap-settings are represented by a series impedance. • Appropriate modification in the above has been made for off-nominal tap-settings and non-zero phase-shifts. 06/12/09 97
    98. 2-AXIS DYNAMIC MODEL OF A SYNCHRONOUS MACHINE  δi = ωi -ωs ..(1)  ′[ ′ ] ′ [ ′ ] M i ωi = TMi − Eqi − X di I di I qi − Edi − X qi I qi I di − Di ( ωi − ωs ) ..(2) Tdoi Eqi = − Eqi − ( X di − X di ) I di + E fdi ′ ′ ′ ′ ..(3) Tqoi Edi = − Edi + ( X qi − X qi ) I qi ′ ′ ′ ′ ..(4) 06/12/09 98
    99. STEADY STATE PHASOR DIAGRAM OF THE MACHINE ( ) Vi e j π −δ i +θ i 2 ′ [ ′ ′ ′ ] + ( Rsi + jX di ) ( I di + jI qi ) − E di + ( X di − X qi ) I qi + jE qi = 0 ′ .. .. (2.5)
    100. ( ) Pi + jQi = ( Vi ) ( I di − jI qi ) e j π − δ i +θ i 2 − PLi ( Vi ) − jQLi ( Vi ) .. .. (6) where, Pi + jQi = Real and Reactive power injected into the network at bus i n = ∑ ViVk yik e j (θ i −θ k −α ik ) k =1 [ δ i = Angle of Vi e j( θ i ) + ( Rsi + jX qi ) I Gi ]  PGi − jQGi  I Gi =   V e - j( θ i )    i  06/12/09 100
    101. EXCITATION SYSTEM dE fdi TEi = −( K Ei + S Ei ( E fdi ) ) E fdi + VRi ..(7) dt E fdi + K Ai (Vrefi − Vi ) ..(8) dVRi K Ai K Fi TAi = −VRi + K Ai R fi − dt TFi dR fi K Fi TFi = − R fi + E fdi ..(9) dt TFi 06/12/09 101
    102. LOAD MODELLING Two static models have been considered – • Constant Power Load • Voltage dependent ‘ZIP’ model P =P +P V2 +P V Li CLi Zli Ili = P a + b V 2 + c V  Li  i  i i  06/12/09 102
    103. NETWORK EQUATIONS (SLFE) 0 = − Pi − jQi + ∑ ViVk Yik exp( j (θ i − θ k − α ik ) ) .... .. (10) where, Pi + jQi = Real and reactive power injected in the network at bus i. Yik ∠α ik = Network Admittance between busses i & k. Vi ∠ θ i = Voltage and phase at bus i. 06/12/09 103
    104. JACOBIAN MATRIX FORMATION x = f ( x, y )  ...... (13) 0 = g( x, y ) ...... (14) where, x = vector of dynamic state variables = δ ω E′ E′ E V R T t   q d fd R f M  y = vector of algebraic variables t = i i V θ q d    06/12/09 104
    105. JACOBIAN MATRIX FORMATION ∆x = A∆x + B∆y  .... (15) 0 = C∆x + D∆y .... (16) where,  ∂f   ∂f  A=  , B=  ,  ∂x  x , y  ∂y  x , y o o o o  ∂g   ∂g  C=  and, D =   .  ∂x  x , y  ∂y  x , y o o o o Δy = D −1 CΔ x ( ∴ Δ x = A − BD −1 C Δ x  ) 06/12/09 105
    106. FLOWCHART 06/12/09 106
    107. WSCC 3-MACHINE, 9-BUS SYSTEM 06/12/09 107
    108. RESULTS Dynamic ATC using Hopf Bifurcation Criteria - Load1 Case (WSCC 3-machine, 9-bus System) Transactio Low Voltage Profile Load ATC Ploss Qloss ns V4 V5 V6 Base Case 1.25 - 0.046 -0.922 1.026 0.996 1.013 T1 4.60 3.35 0.256 2.078 0.947 0.848 0.952 T2 3.55 2.30 0.349 1.870 0.972 0.868 0.959 T3 3.50 2.25 0.326 1.398 0.974 0.896 0.948 T4 4.30 3.05 0.285 1.579 0.970 0.866 0.966 T5 3.85 2.60 0.381 1.79 0.964 0.863 0.945 T6 4.40 3.15 0.300 1.630 0.963 0.865 0.954 T7 4.40 3.15 0.249 1.371 0.970 0.866 0.966 06/12/09 108
    109. Static ATC using Saddle Node Bifurcation Criteria Load1 Case (WSCC 3-machine, 9-bus System) Transacti Low Voltage Profile Load ATC Ploss Qloss ons V4 V5 V 1.02 Base Case 1.25 - 0.046 -0.922 0.996 1.013 6 0.86 T1 5.15 3.90 0.487 4.977 0.702 0.883 3 0.90 T2 4.35 3.10 0.709 5.312 0.709 0.892 3 0.86 T3 4.75 3.50 0.857 6.317 0.691 0.816 6 0.89 T4 5.25 4.00 0.570 4.575 0.707 0.904 4 0.89 T6 4.70 3.45 0.749 4.955 0.704 0.868 0 0.87 T7 5.40 4.15 0.543 4.625 0.695 0.897 9 06/12/09 109
    110. Dynamic ATC using Hopf Bifurcation Criteria – Load2 Case (WSCC 3-machine, 9-bus System) Transaction Load ATC Ploss Qloss Min Voltage Profile V4 V5 Base Case 1.25 - 0.046 -0.922 1.026 0.996 1.013 T1 2.35 1.10 0.201 0.964 0.918 0.713 0.928 T2 2.25 1.00 0.265 1.386 0.915 0.705 0.921 T3 2.25 1.00 0.245 1.075 0.918 0.721 0.921 T4 2.35 1.10 0.239 1.226 0.913 0.698 0.922 T5 2.25 1.00 0.249 1.133 0.918 0.716 0.922 T6 2.35 1.10 0.230 1.081 0.914 0.705 0.923 T7 2.35 1.10 0.221 1.068 0.916 0.706 0.925 06/12/09 110
    111. Dynamic ATC using saddle Node Bifurcation Criteria - Load2 Case (WSCC 3-machine, 9-bus System) Transaction Load ATC Ploss Qloss Min Voltage Profile V4 V5 Base Case 1.25 - 0.046 -0.922 1.026 0.996 1.013 T1 2.58 1.33 0.325 2.297 0.874 0.605 0.894 T2 2.45 1.20 0.404 2.792 0.873 0.598 0.886 T3 2.52 1.27 0.469 3.291 0.850 0.548 0.862 T4 2.55 1.30 0.372 2.600 0.870 0.588 0.888 T5 2.50 1.25 0.429 2.905 0.862 0.575 0.876 T6 2.58 1.33 0.389 2.718 0.862 0.572 0.881 T7 2.58 1.33 0.368 2.593 0.867 0.582 0.886 06/12/09 111
    112. ATC FOR 9-BUS,3 GENERATOR SYSTEM LOAD1 CASE 6 V limit hb limit snb limt 4 ATC (p.u.) 2 0 T1 T2 T3 T4 T5 T6 T7 Transaction (Load1 ) ATC for WSCC 9-Bus System -Load1 Case. 06/12/09 112
    113. ATC FOR 9-BUS SYSTEM LOAD2 CASE V limit hb limit snb limt 1.6 1.2 ATC (pu) 0.8 0.4 0 T1 T2 T3 T4 T5 T6 T7 Transactions (Load2 at bus 5) ATC for WSCC 9-Bus System -Load2 Case. 06/12/09 113
    114. 39-BUS, 10-GENERATOR NEW ENGLAND SYSTEM 06/12/09 114
    115. ATC FOR 39-BUS SYSTEM LOAD1 CASE 25 V lim HB lim SNB lim 20 ATC (pu) 15 10 5 0 T1 T2 T3 T4 T5 Transaction (Load1 at bus 18) ATC for 39 Bus System - Load1 Case 06/12/09 115
    116. ATC FOR 39 BUS SYSTEM LOAD2 CASE 16 V lim HB lim SNB lim 12 ATC (pu) 8 4 0 T1 T2 T3 T4 T5 Transaction(Load2 at bus 18) ATC for 39 Bus System- Load2 Case 06/12/09 116
    117. STATIC VAR COMPENSATOR (SVC) A shunt-connected static Var generator or absorber whose output is adjusted to exchange capacitive or inductive current so as to maintain or control specific parameters of the power system (typically bus voltage)
    118. SVC OUTPUT CHARACTERISTICS 06/12/09 118
    119. DYNAMIC MODEL OF SVC TR B ref = − B ref + K R (V ref − Vi )  .... (3.1)  Tb B svc = − B svc + B ref .....(3.2) At steady state, B svc = B ref = K R (Vref − Vi ) and Q svc = Vi 2 B svc .....(3.3) n Qm = V m ∑ Ymk V k sin (θ m − θ k − α mk ) − V m ⋅ B svc 2 ....(3.4) k =1 06/12/09 119
    120. SVC PLACEMENT CRITERIA • The load bus having the maximum participation of the voltage state to the critical mode is selected as an optimal bus for SVC placement. • At the HB and SNB points, the critical eigenvalue of the complete Jacobian was determined. • Participation factors were computed using the respective elements of the corresponding right and left eigenvectors. • From these the load bus voltage state having maximum participation to the critical mode in most of the cases was selected. 06/12/09 120
    121. ATC FOR 9-BUS SYSTEM, LOAD1 CASE WITH SVC AT BUS 5 10 Vlim HBP SNB 8 ATC (pu) 6 4 2 0 T1 T2 T3 T4 T5 T6 T7 Transaction (Load1, pu) 06/12/09 121
    122. ATC FOR 9-BUS SYSTEM, LOAD2 CASE WITH SVC AT BUS 5 8 Vlim HBP SNB 6 ATC (pu) 4 2 0 T1 T2 T3 T4 T5 T6 T7 Transactions (Load2,pu) 06/12/09 122
    123. Dynamic ATC using Hopf Bifurcation Criteria - Load1 Case (39-bus, 10-Generator System with SVC at bus 18) Transaction Load ATC Ploss Qloss Voltage Profile Critical Base Case 5.22 - 0.471 -0.373 V32=0.945 V35=0.958 V14=0.960 V34=0. T1 14.20 8.98 0.597 6.777 V32=0.928 V14=0.944 V16=0.945 V15=0. T2 30.64 25.42 2.773 40.956 V19=0.786 V18=0.849 V17=0.851 V14=0. T3 17.85 12.63 0.967 14.608 V32=0.886 V33=0.907 V31=0.908 V20=0. T4 12.32 7.10 1.171 6.614 V32=0.935 V14=0.944 V35=0.946 V34=0. T5 31.42 26.20 4.038 75.437 V13=0.722 V14=0.749 V38=0.776 V12=0. T2** -- Hopf Bifurcation not observed; Results are corresponding to the SNB. 06/12/09 123
    124. ATC FOR 39-BUS SYSTEM WITH SVC LOAD1 CASE 30 Vlim HBP SNB 25 20 ATC (pu) 15 10 5 0 T1 Tt2 T3 T4 T5 Transation (Load1, pu) 06/12/09 124
    125. ATC FOR 39-BUS SYSTEM WITH SVC LOAD2 CASE. 25 Series1 Series2 Series3 20 ATC (pu) 15 10 5 0 T1 T2 T3 T4 T5 Transaction (load2 , pu) 06/12/09 125
    126. ATC FOR 39-BUS SYSTEM WITH SVC (LOAD1, KR=20) 25 Vlim HBP SNB 20 ATC (pu) 15 10 5 0 T1 T2 T3 T4 T5 Transaction (Load1 pu) 06/12/09 126
    127. CONCLUSIONS • Following are the conclusions derived from the observations, prior to the placement of SVC in the system. • ATC values are much higher when only the real power of the Load is increased. • Minimum voltage criteria is the binding constraint in most of the cases. • With ZIP load model, the ATC values changed in each case. While the connected load corresp. to the occurrence of HB and SNB increased in each case, the actual supplied values dropped in a few as a result of voltage decline. • For the same ATC value, losses may be very different for different transactions. 06/12/09 127
    128. CONCLUSIONS (Contd.) After placement of SVC • The ATC values increased in all the cases. • Voltage profile in the system improved. • Dynamic ATC corresponding to the Hopf Bifurcation became the limiting criteria in most of the cases. • Decrease in KR, resulted in the fall in ATC values corresponding to the bus voltage limit and to the static limit. • For dynamic ATC –corresp. to Hopf bifurcation, however, no specific trend was observed. 06/12/09 128
    129. FUTURE RESEARCH AREAS  Determination of closest Hopf bifurcation and saddle node bifurcation for worst case values.  Impact of FACTS controllers in the enhancement of ATC along busy corridors.  Realistic load modelling describing its nature and dynamics. 06/12/09 129
    130. Thank You! 06/12/09 130
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