메뉴 건너뛰기




Volumn 79, Issue 10, 2018, Pages 1741-1755

A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections

Author keywords

agent modeling; electric power systems; emergency automatics; L index; machine learning; voltage collapse

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION TREES; ELECTRIC POWER SYSTEM INTERCONNECTION; ELECTRIC POWER SYSTEMS; LEARNING SYSTEMS; ONLINE SYSTEMS; SOFTWARE AGENTS;

EID: 85054703128     PISSN: 00051179     EISSN: None     Source Type: Journal    
DOI: 10.1134/S0005117918100016     Document Type: Article
Times cited : (9)

References (29)
  • 2
    • 85054653407 scopus 로고    scopus 로고
    • Analyzing the Statistics of RZA Failures Based on Microprocessors from the Point of View of Accounting for them in Modeling Cascade Failures
    • Voropai, N.I. and Saratova, N.E., Analyzing the Statistics of RZA Failures Based on Microprocessors from the Point of View of Accounting for them in Modeling Cascade Failures, Probl. Energetiki, 2008, no. 11/12 (1), pp. 66–71
    • (2008) Probl. Energetiki , vol.11-12 , Issue.1 , pp. 66-71
    • Voropai, N.I.1    Saratova, N.E.2
  • 4
    • 84880924580 scopus 로고    scopus 로고
    • Initial Review of Methods for Cascading Failure Analysis in Electric Power Transmission Systems
    • IEEE PES CAMS Task Force on Understanding, Prediction, Mitigation and Restoration of Cascading Failures, Pittsburgh, July
    • IEEE PES CAMS Task Force on Understanding, Prediction, Mitigation and Restoration of Cascading Failures, “Initial Review of Methods for Cascading Failure Analysis in Electric Power Transmission Systems,” Proc. IEEE PES General Meeting, Pittsburgh, July, 2008
    • (2008) Proc. IEEE PES General Meeting
  • 5
    • 0242604483 scopus 로고
    • An Expert System Application for Clearing Overloads
    • Negnevitsky, M., An Expert System Application for Clearing Overloads, Int. J. Power Energy Syst., 1995, vol. 15, no. 1, pp. 9–13
    • (1995) Int. J. Power Energy Syst. , vol.15 , Issue.1 , pp. 9-13
    • Negnevitsky, M.1
  • 7
    • 0022097262 scopus 로고
    • Estimating the Voltage Stability of a Power System
    • Kessel, P. and Glavitsch, H., Estimating the Voltage Stability of a Power System, IEEE Trans. Power Delivery, 1986, vol. 1, no. 3, pp. 346–354
    • (1986) IEEE Trans. Power Delivery , vol.1 , Issue.3 , pp. 346-354
    • Kessel, P.1    Glavitsch, H.2
  • 9
    • 84901594361 scopus 로고    scopus 로고
    • Comparative Study of Different Kalman Filter Implementations in Power System Stability
    • Goh, H., Comparative Study of Different Kalman Filter Implementations in Power System Stability, Am. J. Appl. Sci., 2014, vol. 11, no. 8, pp. 1379–1390
    • (2014) Am. J. Appl. Sci. , vol.11 , Issue.8 , pp. 1379-1390
    • Goh, H.1
  • 12
    • 80053345828 scopus 로고    scopus 로고
    • The Hybrid Model Based on Hilbert-Huang Transform and Neural Networks for Forecasting of Short-Term Operation Conditions of Power Systems
    • Kurbatsky, V.G., Sidorov, D.N., Spiryaev, V.A., and Tomin, N.V., The Hybrid Model Based on Hilbert-Huang Transform and Neural Networks for Forecasting of Short-Term Operation Conditions of Power Systems, Proc. IEEE PES Trondheim PowerTech, Trondheim, 2011, pp. 1–7
    • (2011) Proc. IEEE PES Trondheim PowerTech , pp. 1-7
    • Kurbatsky, V.G.1    Sidorov, D.N.2    Spiryaev, V.A.3    Tomin, N.V.4
  • 14
    • 79959986642 scopus 로고    scopus 로고
    • Application of Two Stages Adaptive Neural Network Approach for Short-Term Forecast of Electric Power Systems
    • Kurbatsky, V., Tomin, N., Sidorov, D., and Spiryaev, V., Application of Two Stages Adaptive Neural Network Approach for Short-Term Forecast of Electric Power Systems, Proc. 10 Int. Conf. Environ. Electr. Engineer., Rome, 2011, pp. 1–4
    • (2011) Proc. 10 Int. Conf. Environ. Electr. Engineer. , pp. 1-4
    • Kurbatsky, V.1    Tomin, N.2    Sidorov, D.3    Spiryaev, V.4
  • 16
    • 80052564385 scopus 로고    scopus 로고
    • On the Neural Network Approach for Forecasting of Nonstationary Teme Series on the Basis of the Hilbert–Huang Transform
    • Kurbatskii, V.G., Sidorov, D.N., Spiryaev, V.A., and Tomin, N.V., On the Neural Network Approach for Forecasting of Nonstationary Teme Series on the Basis of the Hilbert–Huang Transform, Autom. Remote Control, 2011, vol. 72, no. 7, pp. 1405–1414
    • (2011) Autom. Remote Control , vol.72 , Issue.7 , pp. 1405-1414
    • Kurbatskii, V.G.1    Sidorov, D.N.2    Spiryaev, V.A.3    Tomin, N.V.4
  • 17
    • 84864374179 scopus 로고    scopus 로고
    • Design of Pattern Recognition System for Static Security Assessment and Classification
    • Kalyani, S. and Shanti Swarup, K., Design of Pattern Recognition System for Static Security Assessment and Classification, Patt. Anal. Appl., 2012, vol. 15, pp. 299–311
    • (2012) Patt. Anal. Appl. , vol.15 , pp. 299-311
    • Kalyani, S.1    Shanti Swarup, K.2
  • 18
    • 85054657274 scopus 로고    scopus 로고
    • Transient Security Assessment in Power Systems Using Deep Neural Network
    • Jothinathan, K. and Ganapathy, S., Transient Security Assessment in Power Systems Using Deep Neural Network, Int. J. Appl. Engin. Res., 2012, vol. 10, no. 15, pp. 787–790
    • (2012) Int. J. Appl. Engin. Res. , vol.10 , Issue.15 , pp. 787-790
    • Jothinathan, K.1    Ganapathy, S.2
  • 19
    • 67349093230 scopus 로고    scopus 로고
    • Decision Tree-Based Online Voltage Security Assessment Using PMU Measurements
    • Diao, R., Sun, K., Vittal, V., et al., Decision Tree-Based Online Voltage Security Assessment Using PMU Measurements, IEEE Trans. Power Syst., 2009, vol. 24, no. 2, pp. 832–839
    • (2009) IEEE Trans. Power Syst. , vol.24 , Issue.2 , pp. 832-839
    • Diao, R.1    Sun, K.2    Vittal, V.3
  • 21
    • 84956854234 scopus 로고    scopus 로고
    • Experimental Implementation of Multi-Agent System Algorithm to Prevent Cascading Failure after N -1 -1 Contingency in Smart Grid Systems
    • Belkacemi, R., Babalola, S., and Zarrabian, A., Experimental Implementation of Multi-Agent System Algorithm to Prevent Cascading Failure after N -1 -1 Contingency in Smart Grid Systems, IEEE Power & Energy Society General Meeting, Denver, 2015, pp. 1–5
    • (2015) IEEE Power & Energy Society General Meeting , pp. 1-5
    • Belkacemi, R.1    Babalola, S.2    Zarrabian, A.3
  • 22
    • 85054633454 scopus 로고    scopus 로고
    • Improving the Structure and Algorithms for Failure Protection Control of an Electric Power Station to Prevent Voltage Avalanche and Cascade Outing of Lines
    • ISEM SB RAS, Irkutsk
    • Panasetskii, D.A., Improving the Structure and Algorithms for Failure Protection Control of an Electric Power Station to Prevent Voltage Avalanche and Cascade Outing of Lines, Cand. Sci. Dissertation, Irkutsk: ISEM SB RAS, 2015
    • (2015) Cand. Sci. Dissertation
    • Panasetskii, D.A.1
  • 23
    • 43549124850 scopus 로고    scopus 로고
    • Multi-agent Model Predictive Control for Transportation Networks: Serial Versus Parallel Schemes
    • Negenborn, R.R., De Schutter, B., and Hellendoorn, J., Multi-agent Model Predictive Control for Transportation Networks: Serial Versus Parallel Schemes, Eng. Appl. Artific. Intelligence, 2008, vol. 21, pp. 353–366
    • (2008) Eng. Appl. Artific. Intelligence , vol.21 , pp. 353-366
    • Negenborn, R.R.D.1    Schutter, B.2    Hellendoorn, J.3
  • 24
    • 84998799699 scopus 로고    scopus 로고
    • A Modification of the Random Forest Algorithm for Classification of Nonstationary Streaming Data
    • Zhukov, A.V. and Sidorov, D.N., A Modification of the Random Forest Algorithm for Classification of Nonstationary Streaming Data, Vest. YuUrGU, Mat. Modelir. Programmir., 2016, vol. 9, no. 4, pp. 86–95
    • (2016) Vest. YuUrGU, Mat. Modelir. Programmir. , vol.9 , Issue.4 , pp. 86-95
    • Zhukov, A.V.1    Sidorov, D.N.2
  • 25
    • 85014174917 scopus 로고    scopus 로고
    • Random Forest Based Approach for Concept Drift Handling
    • Zhukov, A.V., Sidorov, D.N., and Foley, A.M., Random Forest Based Approach for Concept Drift Handling, Commun. Comput. Inform. Sci., 2017, vol. 661, pp. 69–77
    • (2017) Commun. Comput. Inform. Sci. , vol.661 , pp. 69-77
    • Zhukov, A.V.1    Sidorov, D.N.2    Foley, A.M.3
  • 26
    • 85054705795 scopus 로고    scopus 로고
    • An Intelligent System for Preventing Large Failures in Power Systems
    • Voropai, N.I., Negnevitskii, M., Tomin, N.V., et al., An Intelligent System for Preventing Large Failures in Power Systems, Elektrichestvo, 2014, no. 8, pp. 1–7
    • (2014) Elektrichestvo , vol.8 , pp. 1-7
    • Voropai, N.I.1    Negnevitskii, M.2    Tomin, N.V.3
  • 27
    • 33646430006 scopus 로고    scopus 로고
    • Extremely Randomized Trees
    • Geurts, P., Ernst, D., and Wehenkel, L., Extremely Randomized Trees, Machine Learning, 2006, vol. 63, no. 1, pp. 3–42
    • (2006) Machine Learning , vol.63 , Issue.1 , pp. 3-42
    • Geurts, P.1    Ernst, D.2    Wehenkel, L.3
  • 28
    • 84962030041 scopus 로고    scopus 로고
    • Random Forests and Kernel Methods
    • Scornet, E., Random Forests and Kernel Methods, IEEE Trans. Inform. Theory, 2016, vol. 62, no. 3, pp. 1485–1500
    • (2016) IEEE Trans. Inform. Theory , vol.62 , Issue.3 , pp. 1485-1500
    • Scornet, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.