Skip to main content

2021 | OriginalPaper | Buchkapitel

Data-Driven Wide-Area Situation Analyzer for Power System Event Detection and Severity Assessment

verfasst von : Divya Rishi Shrivastava, Shahbaz Ahmed Siddiqui, Kusum Verma

Erschienen in: Wide Area Power Systems Stability, Protection, and Security

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Real-time power system monitoring and assessment leads to two major concern, prediction and evaluation of security and stability of power system. This assists in determination of in-time probable anomaly of the system. However, at the same time it requires real—time technological applications to measure network data at all strategic geographical locations. Synchrophasor technology based wide-area situational awareness ensures power system real—time monitoring and assessment. The chapter proposes real—time data driven Wide-area Situation Analyzer (WASA). WASA first detects an event in the system using synchrophasor measurements and then assesses its vulnerability posed to power network. The vulnerability is measured as severity in terms of first swing transient instability. Level of severity index is developed in terms of generator going out of step. The bus voltage trajectories going away with rest of the system due to generator(s) transient instability are considered. The proposed new approach is based on Center of Frequency (COF) formulated from limited Phasor Measurement Unit measurements. To check for an event existence in the system, a new decision based COF concept is defined. In order to determine the severity of the identified event, a new Predictor Indices (PI) is proposed using COF and PMU measurements. These predictor indices are used in assessment methodology, based on Adaptive Boosting (AdaBoost) of decision estimators. Furthermore, comparative results of proposed wide-area situational analyzer with other machine learning algorithms are also shown. The proposed WASA is instigated on IEEE New England 39 Bus system, successfully validating analyzer performance. The different type of events considered are generation outage, bus outage, load outage and line events. Additionally, if any bus outage occurs due to line faults then it is considered as single severity. The results reflects the efficacy of the proposed analyzer in event detection and its assessment efficiently and effectively with very less computational burden. The ability of the proposed analyzer to identify events quickly and correctly makes it appropriate for real—time applications.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat J. Ree, D. La, V. Centeno, J.S. Thorp, et al., Synchronized phasor measurement applications in power systems. IEEE Trans. Smart Grid 1(1), 20–27 (2017) J. Ree, D. La, V. Centeno, J.S. Thorp, et al., Synchronized phasor measurement applications in power systems. IEEE Trans. Smart Grid 1(1), 20–27 (2017)
2.
Zurück zum Zitat S. Brahma, R. Kavasseri, H. Cao et al., Real-time identification of dynamic events in power systems using PMU data, and potential applications- models, promises, and challenges. IEEE Trans. Power Deliv. 32(1), 294–301 (2017)CrossRef S. Brahma, R. Kavasseri, H. Cao et al., Real-time identification of dynamic events in power systems using PMU data, and potential applications- models, promises, and challenges. IEEE Trans. Power Deliv. 32(1), 294–301 (2017)CrossRef
3.
Zurück zum Zitat M.K. Jena, B.K. Panigrahi, S.R. Samantaray, A new approach to power system disturbance assessment using wide-area postdisturbance records. IEEE Trans. Ind. Inform. 14(3), 1253–1261 (2018)CrossRef M.K. Jena, B.K. Panigrahi, S.R. Samantaray, A new approach to power system disturbance assessment using wide-area postdisturbance records. IEEE Trans. Ind. Inform. 14(3), 1253–1261 (2018)CrossRef
4.
Zurück zum Zitat H.H. Alhelou, M.E. Hamedani Golshan, J. Askari-Marnani, Robust sensor fault detection and isolation scheme for interconnected smart power systems in presence of RER and EVs using unknown input observer. Int. J. Electr. Power Energy Syst. 99, 682–694 (2018) H.H. Alhelou, M.E. Hamedani Golshan, J. Askari-Marnani, Robust sensor fault detection and isolation scheme for interconnected smart power systems in presence of RER and EVs using unknown input observer. Int. J. Electr. Power Energy Syst. 99, 682–694 (2018)
5.
Zurück zum Zitat H.H. Alhelou, Fault detection and isolation in power systems using unknown input observer. in Advanced Condition Monitoring and Fault Diagnosis of Electric Machines (IGI global, 2019), pp. 38–58 H.H. Alhelou, Fault detection and isolation in power systems using unknown input observer. in Advanced Condition Monitoring and Fault Diagnosis of Electric Machines (IGI global, 2019), pp. 38–58
6.
Zurück zum Zitat M. Rafferty, X. Liu, D. Laverty et al., Real – time event detection and classification using moving window PCA. IEEE Trans. Smart Grid 7(5), 2537–2548 (2016)CrossRef M. Rafferty, X. Liu, D. Laverty et al., Real – time event detection and classification using moving window PCA. IEEE Trans. Smart Grid 7(5), 2537–2548 (2016)CrossRef
7.
Zurück zum Zitat W. Gao, J. Ning, Wavelet-based disturbance analysis for power system wide-area monitoring. IEEE Trans. Smart Grid 2(1), 121–130 (2011)CrossRef W. Gao, J. Ning, Wavelet-based disturbance analysis for power system wide-area monitoring. IEEE Trans. Smart Grid 2(1), 121–130 (2011)CrossRef
8.
Zurück zum Zitat H. Haes Alhelou, M. Esmail Hamedani Golshan, T. Cuthbert Njenda, P. Siano. Wams-based online disturbance estimation in interconnected power systems using disturbance observer. Appl. Sci. 9(5), 990 (2019) H. Haes Alhelou, M. Esmail Hamedani Golshan, T. Cuthbert Njenda, P. Siano. Wams-based online disturbance estimation in interconnected power systems using disturbance observer. Appl. Sci. 9(5), 990 (2019)
9.
Zurück zum Zitat R. Meier, B. McCamish, E. Cotilla-Sanchez, et al., Event detection using correlation within arrays of streaming PMU data, in IEEE Power & Energy Society General Meeting, 2018, pp. 1–5 R. Meier, B. McCamish, E. Cotilla-Sanchez, et al., Event detection using correlation within arrays of streaming PMU data, in IEEE Power & Energy Society General Meeting, 2018, pp. 1–5
10.
Zurück zum Zitat H. Haes Alhelou, M. Esmail Hamedani-Golshan, T. Cuthbert Njenda, P. Siano, Wide-area measurement system-based optimal multi-stage under-frequency load-shedding in interconnected smart power systems using evolutionary computing techniques. Appl. Sci. 9(3), 508 (2019) H. Haes Alhelou, M. Esmail Hamedani-Golshan, T. Cuthbert Njenda, P. Siano, Wide-area measurement system-based optimal multi-stage under-frequency load-shedding in interconnected smart power systems using evolutionary computing techniques. Appl. Sci. 9(3), 508 (2019)
11.
Zurück zum Zitat T.C. Njenda, M.E.H. Golshan, H.H. Alhelou, WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude. in 2018 Smart Grid Conference (SGC) (IEEE, 2018), pp. 1–5 T.C. Njenda, M.E.H. Golshan, H.H. Alhelou, WAMS based under frequency load shedding considering minimum frequency predicted and extrapolated disturbance magnitude. in 2018 Smart Grid Conference (SGC) (IEEE, 2018), pp. 1–5
12.
Zurück zum Zitat P. Gopakumar, M.J.B. Reddy, D.K. Mohanta, Transmission line fault detection and localization methodology using PMU measurements. IET Gener. Transm. Distrib. 9(11), 1033–1042 (2015) P. Gopakumar, M.J.B. Reddy, D.K. Mohanta, Transmission line fault detection and localization methodology using PMU measurements. IET Gener. Transm. Distrib. 9(11), 1033–1042 (2015)
13.
Zurück zum Zitat H.H. Alhelou, M.-E. Hamedani-Golshan, R. Zamani, E. Heydarian-Forushani, P. Siano, Challenges and opportunities of load frequency control in conventional, modern and future smart power systems: a comprehensive review. Energies 11(10), 2497 (2018) H.H. Alhelou, M.-E. Hamedani-Golshan, R. Zamani, E. Heydarian-Forushani, P. Siano, Challenges and opportunities of load frequency control in conventional, modern and future smart power systems: a comprehensive review. Energies 11(10), 2497 (2018)
14.
Zurück zum Zitat S.A. Siddiqui, K. Verma et al., Real – time monitoring of post – fault scenario for determining generator coherency and transient stability through ANN. IEEE Trans. Ind. App. 54(1), 685–692 (2018)CrossRef S.A. Siddiqui, K. Verma et al., Real – time monitoring of post – fault scenario for determining generator coherency and transient stability through ANN. IEEE Trans. Ind. App. 54(1), 685–692 (2018)CrossRef
15.
Zurück zum Zitat H. Haes Alhelou, M. Esmail Hamedani Golshan, M. Hajiakbari Fini, Wind driven optimization algorithm application to load frequency control in interconnected power systems considering GRC and GDB nonlinearities. Electr. Power Compon. Syst. 46(11–12), 1223–1238 (2018) H. Haes Alhelou, M. Esmail Hamedani Golshan, M. Hajiakbari Fini, Wind driven optimization algorithm application to load frequency control in interconnected power systems considering GRC and GDB nonlinearities. Electr. Power Compon. Syst. 46(11–12), 1223–1238 (2018)
16.
Zurück zum Zitat H. Haes Alhelou, M. Esmail Hamedani-Golshan, T. Cuthbert Njenda, P. Siano, A survey on power system blackout and cascading events: Research motivations and challenges. Energies 12(4), 682 (2019) H. Haes Alhelou, M. Esmail Hamedani-Golshan, T. Cuthbert Njenda, P. Siano, A survey on power system blackout and cascading events: Research motivations and challenges. Energies 12(4), 682 (2019)
17.
Zurück zum Zitat H.H. Alhelou, M. Esmail Hamedani Golshan, N.D. Hatziargyriou, A decentralized functional observer based optimal LFC considering unknown inputs, uncertainties, and cyber-attacks. IEEE Trans. Power Syst. 34(6), 4408–4417 (2019) H.H. Alhelou, M. Esmail Hamedani Golshan, N.D. Hatziargyriou, A decentralized functional observer based optimal LFC considering unknown inputs, uncertainties, and cyber-attacks. IEEE Trans. Power Syst. 34(6), 4408–4417 (2019)
18.
Zurück zum Zitat S. Wang, J. Yu, W. Zhang, Transient stability assessment using individual machine equal area criterion PART I: unity principle. IEEE Access 6, 77065–77076 (2018)CrossRef S. Wang, J. Yu, W. Zhang, Transient stability assessment using individual machine equal area criterion PART I: unity principle. IEEE Access 6, 77065–77076 (2018)CrossRef
19.
Zurück zum Zitat J.S. Ramirez, A.B. Salas, M. Esparza et al., Frequency domain methods for accuracy assessment of wideband models in electromagnetic transient stability studies. IEEE Trans. Power Deliv. 35(1), 71–83 (2020)CrossRef J.S. Ramirez, A.B. Salas, M. Esparza et al., Frequency domain methods for accuracy assessment of wideband models in electromagnetic transient stability studies. IEEE Trans. Power Deliv. 35(1), 71–83 (2020)CrossRef
20.
Zurück zum Zitat H.H. Alhelou, M. Esmail Hamedani Golshan, N.D. Hatziargyriou, Deterministic dynamic state estimation-based optimal lfc for interconnected power systems using unknown input observer. IEEE Trans. Smart Grid (2019) H.H. Alhelou, M. Esmail Hamedani Golshan, N.D. Hatziargyriou, Deterministic dynamic state estimation-based optimal lfc for interconnected power systems using unknown input observer. IEEE Trans. Smart Grid (2019)
21.
Zurück zum Zitat T.L. Vu, K. Turitsyn, Lyapunov functions family approach to transient stability assessment. IEEE Trans. Power Syst. 31(2), 1269–1277 (2016)CrossRef T.L. Vu, K. Turitsyn, Lyapunov functions family approach to transient stability assessment. IEEE Trans. Power Syst. 31(2), 1269–1277 (2016)CrossRef
22.
Zurück zum Zitat H.H. Alhelou, S. Jamal Mirjalili, R. Zamani, P. Siano, Assessing the optimal generation technology mix determination considering demand response and EVs. Int. J. Electr. Power Energy Syst. 119, 105871 (2020) H.H. Alhelou, S. Jamal Mirjalili, R. Zamani, P. Siano, Assessing the optimal generation technology mix determination considering demand response and EVs. Int. J. Electr. Power Energy Syst. 119, 105871 (2020)
23.
Zurück zum Zitat H.H. Alhelou, M. Esmail Hamedani Golshan, T. Cuthbert Njenda, N.D. Hatziargyriou, An overview of UFLS in conventional, modern, and future smart power systems: challenges and opportunities. Electr. Power Syst. Res. 179, 106054 (2020) H.H. Alhelou, M. Esmail Hamedani Golshan, T. Cuthbert Njenda, N.D. Hatziargyriou, An overview of UFLS in conventional, modern, and future smart power systems: challenges and opportunities. Electr. Power Syst. Res. 179, 106054 (2020)
24.
Zurück zum Zitat M. Oluic, M. Ghandhari, B. Berggren, Methodology for rotor angle transient stability assessment in parameter space. IEEE Trans. Power Syst. 32(2), 1202–1211 (2017) M. Oluic, M. Ghandhari, B. Berggren, Methodology for rotor angle transient stability assessment in parameter space. IEEE Trans. Power Syst. 32(2), 1202–1211 (2017)
25.
Zurück zum Zitat A.D. Rajapakse, F. Gomez, K. Nanayakkara et al., Rotor angle instability prediction using post-disturbance voltage trajectories. IEEE Trans. Power Syst. 25(2), 947–956 (2010)CrossRef A.D. Rajapakse, F. Gomez, K. Nanayakkara et al., Rotor angle instability prediction using post-disturbance voltage trajectories. IEEE Trans. Power Syst. 25(2), 947–956 (2010)CrossRef
26.
Zurück zum Zitat M. Anghel, J. Anderson, A. Papachristodoulou, Stability analysis of power systems using network decomposition and local gain analysis, in Proceedings of IREP Symposium-Bulk Power System Dynamics and Control (2013), pp. 978–984 M. Anghel, J. Anderson, A. Papachristodoulou, Stability analysis of power systems using network decomposition and local gain analysis, in Proceedings of IREP Symposium-Bulk Power System Dynamics and Control (2013), pp. 978–984
27.
Zurück zum Zitat H. Suprême, L.A. Dessaint, I. Kamwa et al., Development of new predictors based on the concept of center of power for transient and dynamic instability detection. IEEE Trans. Smart Grid. 9(4), 3605–3615 (2018)CrossRef H. Suprême, L.A. Dessaint, I. Kamwa et al., Development of new predictors based on the concept of center of power for transient and dynamic instability detection. IEEE Trans. Smart Grid. 9(4), 3605–3615 (2018)CrossRef
28.
Zurück zum Zitat D.R. Gurusinghe, A.D. Rajapakse, Post-disturbance transient stability status prediction using synchrophasor measurements. IEEE Trans. Power Syst. 31(5), 3656–3664 (2016)CrossRef D.R. Gurusinghe, A.D. Rajapakse, Post-disturbance transient stability status prediction using synchrophasor measurements. IEEE Trans. Power Syst. 31(5), 3656–3664 (2016)CrossRef
29.
Zurück zum Zitat J. Ying, X. Yuan, J. Hu, Inertia characteristic of DFIG-based WT under transient control and its impact on the first-swing stability of SGs. IEEE Trans. Energy Conver. 32(4), 1502–1511 (2017)CrossRef J. Ying, X. Yuan, J. Hu, Inertia characteristic of DFIG-based WT under transient control and its impact on the first-swing stability of SGs. IEEE Trans. Energy Conver. 32(4), 1502–1511 (2017)CrossRef
30.
Zurück zum Zitat J.-Y. Ruan, Z.-X. Lu, Y. Qiao et al., Transient stability of wind turbine adopting a generic model of DFIG and singularity-induced instability of generators/units with power–electronic interface. IEEE Trans. Energy Conver. 30(3), 1069–1080 (2015)CrossRef J.-Y. Ruan, Z.-X. Lu, Y. Qiao et al., Transient stability of wind turbine adopting a generic model of DFIG and singularity-induced instability of generators/units with power–electronic interface. IEEE Trans. Energy Conver. 30(3), 1069–1080 (2015)CrossRef
31.
Zurück zum Zitat S.A. Siddiqui, K. Verma et al., A unified control scheme for power system transient stability enhancement through preventive and emergency control. Int. Trans. Elect. Energy Syst. 26, 365–383 (2015)CrossRef S.A. Siddiqui, K. Verma et al., A unified control scheme for power system transient stability enhancement through preventive and emergency control. Int. Trans. Elect. Energy Syst. 26, 365–383 (2015)CrossRef
32.
Zurück zum Zitat D.R. Shrivastava, S.A. Siddiquiand, K. Verma, Optimal PMU placement for coordinated observability of power system under contingencies, in Proceedings of International Conference Circuits and Systems, December 2017, pp. 334–339 D.R. Shrivastava, S.A. Siddiquiand, K. Verma, Optimal PMU placement for coordinated observability of power system under contingencies, in Proceedings of International Conference Circuits and Systems, December 2017, pp. 334–339
33.
Zurück zum Zitat P.K. Naik, N.-K.C. Nair, A.K. Swain, Impact of reduced inertia on transient stability of networks with asynchronous generation. Int. Trans. Elect. Energy Syst. 26(1), 175–191 (2016)CrossRef P.K. Naik, N.-K.C. Nair, A.K. Swain, Impact of reduced inertia on transient stability of networks with asynchronous generation. Int. Trans. Elect. Energy Syst. 26(1), 175–191 (2016)CrossRef
34.
Zurück zum Zitat J.L. Cremer, I. Konstantelos, S.H. Tindemans et al., Data-driven power system operation: exploring the balance between cost and risk. IEEE Trans. Power Syst. 34(1), 791–801 (2019)CrossRef J.L. Cremer, I. Konstantelos, S.H. Tindemans et al., Data-driven power system operation: exploring the balance between cost and risk. IEEE Trans. Power Syst. 34(1), 791–801 (2019)CrossRef
Metadaten
Titel
Data-Driven Wide-Area Situation Analyzer for Power System Event Detection and Severity Assessment
verfasst von
Divya Rishi Shrivastava
Shahbaz Ahmed Siddiqui
Kusum Verma
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-54275-7_18