Real-time Decentralized Voltage Stability Monitoring and Protection against Voltage Collapse

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Real-time Decentralized Voltage Stability Monitoring and Protection against Voltage Collapse Costas Vournas National Technical University of Athens vournas@power.ece.ntua.gr 1

Outline Introduction to Voltage Stability Challenging problem due to nonlinearity and multiple time scales Instability Detection Global vs Local LIVES method: Local Detection of Global Stability Based on LTCs New LIVES Index Based on PMU measurements on a transmission corridor bus Protection against collapse Soft (Voltage Control) vs Hard (Load Shedding) measures 2

What is Voltage Stability? Maybe I cannon define stability but I know it when I see it Carson W Taylor, retired engineer of BPA Voltage instability stems from the attempt of load dynamics to restore power consumption beyond the capability of the combined transmission and generation system Van Cutsem, Vournas, Voltage Stability of Electric Power Systems, Kluwer 1998/Springer 2008 Key aspects Maximum Power Transfer basically set by Transmission but generation pattern and excitation limits are important Voltage instability is load driven Dynamic phenomenon that can be studied by steady state (equilibrium) conditions (in the long term) Reactive power has a major influence but at stability limit both active and reactive power are significant Converter connected components are also part of the problem Mostly when current limited

Maximum Power Transfer Two bus system - variable load Demand (e.g. admittance) Consumption (power) Load power (P, Q) consumed: Bi-quadratic equation (R=0) Maximum when Δ=0 Corresponds to impedance matching (radial system) load impedance V/I = line Z P max depends on Q or power factor Is not affected by the load demand model!

Impedance matching Stability condition for a lossless system-constant power factor load Assuming constant E What if we monitor at the middle of the line? Impedance matching does not hold! Consider now: This is increasing with G up to MPT! Thus an accurate stability condition is 5

Load Tap Changers (LTC) Discrete device Loads behind LTC voltage sensitive Load restores through LTC when r i min <r i <r i max Maximum Power when Secondary voltage maximum Stability condition k i i i r ( kt ) r ( kt T) r max s if Vi > Vi k min max i 0 if i i i min s if Vi< Vi r V V V

Long-term voltage stability LTC restoring load from voltagesensitive to constant power Representation in PV plane Maximum power point C Network and load characteristics Steady State (L-T) Transient (S-T) Point S stable Attracting when disturbed Point U unstable 7

Voltage Stability Monitoring Centralized with system-wide phasor information Monitor exact instability conditions Central System Protection Scheme (load shedding) With only local LTC measurements Compare secondary regulated voltage at each LTC operation period If voltage does not recover issue alarm Local Identification of Voltage Emergency Situations (LIVES) With local phasor measurements and the condition ΔP/ΔG New LIVES Index (NLI) Local Protection possible 8

Load Shedding Protection Schemes Last resort countermeasure, when a critical situation arises To be procured, contracted, tested and paid annually Manual load shedding not effective imposes heavy responsibility on the operators induces undesired delays difficult to coordinate with other controls Undervoltage load shedding requires: Design and tuning for a large number of contingencies Extensive off-line studies Use LIVES or NLI to decide threshold adaptively! 9

Local Identification of Voltage Emergency Situations (LIVES) LOCAL monitoring of GLOBAL voltage instability Indirectly identify weak points of the system Capable for decentralized protection Autonomous system Based on monitoring the controlled voltage of LTC during one period of operation Its failure to rise is an imminent instability warning Or based on NLI 10

Instability detection with LTC (LIVES) Typical simulation of voltage instability Before collapse, LTC-controlled load voltage (and power) reach a maximum 0.98 lower limit of deadband 0.96 V (pu) 0.94 Tap changes 0.92 t(s) 65.0 70.0 75.0 80.0 85.0 90.0 95.0 11

Multi-load systems are not simple! Care needed to define MPT Load power space Demand and Consumption Typical Instability scenario Stress direction (demand) Critical Point C Consumption diverges Load not restored in affected area Point M Not a Loadability Limit Always before C Good for detection 12

LIVES Monitoring based on Moving Average Sampling period Δt n i 1 1 V ( t ) V ( t k t) i j i j ni k 0 Average calculated over n i samples Average updated at each sampling instant t j = jδt Effective filtering of noise Including fast (short-term) transients Averaging period equal to LTC time delay T i n T / t i i Includes only one tap change of LTC i Implicitly measures effect of all other LTCs in affected area 13

LIVES algorithm Immediately after each tap change measure ΔV i k V ( kt ) V ( kt t ) 1 V ( kt ) V ( kt T ) 1 n n V k i i i i i i i i i i i i Increasing moving average after tap change Sufficient stability condition Average before tap change taken as reference Monitor whether MA increases over a period of LTC operation if it increases: reset (process repeats after next tap change) if MA remains below reference for more than the period: alarm 14

Overview of LIVES Monitoring and Protection Scheme Three modules, running at each LTC controller: LIVES-alarm: Detects imminent voltage instability by monitoring the secondary voltage after each LTC operation LIVES-restore: Voltage stability restoration by reverse tap movement (in favor of transmission) LTC-range restore: Restores LTC control if hard tap limits are met (reducing voltage setpoint) Direct (firm) load shedding inevitable in the presence of self-restoring loads 15

Voltage & LTC ratio (pu) LIVES-alarm module Monitor secondary voltage sufficient stability condition: 1.02 1 0.98 0.96 0.94 0.92 k i i i V V ( kt ) V [( k 1) T] Deadband LTC ratio 0.9 25 30 35 40 45 50 55 60 Time (s) V r moving average Reference Value: The value of MA at the time of tap change Monitor of MA over a period of LTC operation o If MA remains above reference value, reset (the process is repeated at the next tap change) o If MA remains below reference value for slightly less than LTC operation, alarm 16

Voltage & LTC ratio (pu) LIVES-restore module LTC operation reversed after LIVES-alarm in favor of transmission side voltages Modified LIVES-alarm module monitors primary voltage When the MA remains above a reference value Restore signal is issued and LTC secondary setpoint is lowered to its present value 1 1.02 0.98 1 0.96 0.98 0.94 0.96 0.92 0.94 0.9 0.92 0.88 Deadband LIVES-alarm LIVES-alarm moving average moving average LIVES-restore LTC ratio V r of LIVES-alarm LTC ratio LIVES-restore V r of LIVES-restore 0.9 0 50 100 150 Time (s) Restore equilibrium at the current consumption level Indirect (possibly temporary) load reduction 17

Voltage & LTC ratio (pu) LTC-range restore module Unblock LTCs 1) Regulated voltage below deadband and LTC at last tap 2) MA taken as reference 3) If MA below reference Reduce 5% distribution voltage setpoint 1 0.95 0.9 0.85 Deadband LTC ratio Exhaustion of LTC V enters deaband 0.8 480 500 520 540 560 580 600 620 Time (s) V r of LTC-range restoration 4) Else if MA above reference continue monitoring 5) Stop when secondary voltage returns to deadband 18

Case Study LIVES method and NLI Moving average filtering Remedial actions possible after the alarm Reverse LTC tapping (LIVES restore) or Direct load shedding Application to Nordic Test System (PSDPC TF on Voltage Stability test systems) Documented in TF report and available online including PSS/E files http://ewh.ieee.org/soc/pes/psdpc/psdp_benchmark_systems.htm 19

IEEE TF Nordic Test System Unstable scenario Operating point A Short circuit at t=50s cleared by tripping line 4032-4044 QSS (WPSTAB) and Full time simulation (RAMSES-TF report) Detailed simulation used to show effect of noisy measurements in instability detection QSS used to assess effect of countermeasures 20

LIVES Alarms OEL GENERAT OR WPSTAB (S) RAMSES (S) g12 96 95.36 g14 113 113 g7 115 114.6 g11 128 128.1 g6 155 155.1 g5 178 178.6 g15 178 178.1 g8 179 178.7 g16 185 185.3 LIVES- ALARM BUS WPSTAB (S) RAMSES (S) 43 125 125.12 1 127 129.08 4 129 129.12 46 129 131.06 42 131 131.12 5 134 145.12 31 146 113.34 41 153-3 156 126.08 2 192 164.08 47 202 187.10 51-200.30 VOLTAGE COLLAPSE 202 212.20 21

LIVES-alarm & LIVES-restore bus P 0i Q 0i V init V i fin ΔP ΔQ 1 600.00 148.20 0.9988 0.8660 74.49 34.19 4 840.00 252.00 0.9996 0.9329 47.98 27.69 43 900.00 254.60 1.0013 0.9004 80.54 43.01 46 700.00 211.80 0.9990 0.8960 65.87 37.62 3 260.00 83.80 0.9974 0.9156 19.39 11.94 2 330.00 71.00 1.0012 0.9559 11.24 4.70 TOTAL (LIVES-RESTORE) 299.51 159.16 5 720.00 190.40 0.9961 0.9851 3.54 1.86 TOTAL (UNSERVED) 303.05 161.02 LTC exhaust at bus 5 Steady state at t=500s ΔP=299.51MW, ΔQ=159.16MVAr 22

LIVES-alarm and Load Shedding TIME (s) OXL LIVES - ALAR M BUS V H V (pu) LOAD SHEDDI NG BUS ΔP (MW ) ΔQ (MVA r) 96 g12 113 g14 115 g7 125 43 0.96 126 43 89.89 25.40 127 1 0.94 128 g11 128 1 60.07 14.86 129 46 0.99 130 46 70.07 21.22 160 STEADY STATE TOTAL LOAD SHEDDING 220.0 3 61.48 Direct load shedding of 10% at each LIVES alarm No OEL activation of g15, g16, g6 Steady state at t=160s ΔP=220.03MW, ΔQ=61.48MVAr 23

New LIVES Index Applied to the boundary buses 4041, 4042 End of transmission corridor Feeding Central Area Same unstable scenario QSS (WPSTAB) and Full time simulation (RAMSES-TF report) 24

NLI results Applied to buses 4041, 4042 Bus 4044 becomes internal after disconnection Same unstable scenario as before Early warning 70-71s (QSS) 73.94-83.94s (Full time simulation - TF report) 25

NLI results Apparent G and P at the bus 4041 Clear trend (even if marginally so) No false alarm in marginally stable scenario 26

Continuing Research Application to historical results Hellenic Interconnected System 2004 blackout Simulation case reconstructed Pilot application of stability monitoring Initial results promising Only method so far that can predict voltage collapse Without giving false alarm in marginally stable scenario 27

Conclusions Both LIVES method and NLI issue early alarms to all affected buses No false alarm at marginally stable cases The alarms are raised at nominal voltage levels No undervoltage protection possible without stability monitoring Results comparable with minimum load shedding method based on global information Investigation of diversified load sensitivities to voltage Alarms always early Load shedding varies but always effective to save the system 28

LIVES/NLI References 1. C. Vournas, N. Sakellaridis, Tracking Maximum Loadability Conditions in Power Systems, irep, Charleston, SC, USA, Aug. 2007 2. C. D. Vournas, T. Van Cutsem, Local Identification of Voltage Emergency Situations, IEEE Trans. PWRS, Aug. 2008 3. C. D. Vournas, N. G. Sakellaridis, G. Christoforidis, J. Kabouris, T. Van Cutsem, Investigation of a Local Indicator of Voltage Emergency in the Hellenic Interconnected System, 16th PSCC, Glasgow, July 2008 4. C. Vournas, C. Lambrou, M. Glavic, T. Van Cutsem, An integrated autonomous protection system against voltage instability based on Load Tap Changers, Bulk Power System Dynamics and Control - VIII, August 1-6, 2010, Buzios, Brazil. 5. C. D. Vournas, C. Lambrou, and M. Kanatas, Application of Local Autonomous Protection against Voltage Instability to IEEE Test System, IEEE Trans. on Power Systems, Vol. 31, No. 4, July 2016, pp. 3300-3308. 6. C. D. Vournas, C. Lambrou, P. Mandoulidis, Voltage Stability Monitoring from a Transmission Bus PMU, IEEE Transactions on Power Systems, 2016, in press. 29