Toubeau, Jean-François ; Université de Mons > Faculté Polytechnique > Service de Génie Electrique
Pardoen, Lorie ; Université de Mons > Faculté Polytechnique > Service de Génie Electrique ; Université de Mons > Faculté Polytechnique > Service Systèmes, Estimation, Commande et Optimisation
Hubert, Louis
Marenne, Nicolas
Sprooten, Jonathan
De Grève, Zacharie ; Université de Mons > Faculté Polytechnique > Service de Génie Electrique
Vallée, François ; Université de Mons > Faculté Polytechnique > Service de Génie Electrique
Language :
English
Title :
Machine-Learning Assisted Outage Planning for Maintenance Activities in Power Systems with Renewables
Toubeau, J.-F., Vallée, F., De Grève, Z., Lobry, J., A new approach based on the experimental design method for the improvement of the operational efficiency in Medium Voltage distribution networks. Int J Electr Power Energy Syst 66 (2015), 116–124.
Fu, J., Nunez, A., De Schutter, B., A short-term preventive maintenance scheduling method for distribution networks with distributed generators and batteries. 2020, IEEE Trans. Power Syst.
Schneider, Joachim, Gaul, A.J., Neumann, C., Hogräfer, J., Wellßow, W., Schwan, M., Schnettler, A., Asset management techniques. Elect. Power Energy Syst. 28 (2006), 643–654.
Khuntia, R.S., Rueda, J.L., Bouwman, S., Meijden, A.M., A literature survey on asset management in electrical power [transmission and distribution] system. Int Trans Electr Eng Syst 26 (2016), 2123–2133.
Bertling, L., Allan, R., Eriksson, R., A reliability-centered asset maintenance method for assessing the impact of maintenance in power distribution systems. IEEE Trans Power Syst 20:1 (Feb 2005), 75–82.
Beehler, M.E., Reliability centered maintenance for transmission systems. IEEE Trans Power Deliv 12:2 (April 1997), 1023–1028.
Klonari, V., Toubeau, J.-F., Lobry, J., Vallée, F., Photovoltaic integration in smart city power distribution: a probabilistic photovoltaic hosting capacity assessment based on smart metering data. 2016 5th international conference on smart cities and green ICT systems, 2016, SMARTGREENS, Rome, 1–13.
Toubeau, J.-F., Morstyn, T., Bottieau, J., Zheng, K., Apostolopoulou, D., De Grève, Z., Wang, Y., Vallée, F., Capturing spatio-temporal dependencies in the probabilistic forecasting of distribution locational marginal prices. IEEE Trans Smart Grid 12:3 (May 2021), 2663–2674.
Tang, Y., Liu, Q., Jing, J., Yang, Y., Zou, Z., A framework for identification of maintenance significant items in reliability centered maintenance. Energy 118 (2016), 1295–1303.
Rusin, A., Bieniek, M., Maintenance planning of power plant elements based on avoided risk value. Energy 134 (2017), 672–680.
Wang, J., Liang, Y., Zheng, Y., Gao, R.X., Zhang, F., An integrated fault diagnosis and prognosis approach for predictive maintenance of wind turbine bearing with limited samples. Renew Energy 145 (2020), 642–650.
Cauchi, N., Macek, K., Abate, A., Model-based predictive maintenance in building automation systems with user discomfort. Energy 138 (2017), 306–315.
Shin, W., Han, J., Rhee, W., AI-assistance for predictive maintenance of renewable energy systems. Energy, 221, 2021, 1197.
Eskandarpour, R., Khodaei, A., Leveraging accuracy-uncertainty tradeoff in SVM to achieve highly accurate outage predictions. IEEE Trans Power Syst 33:1 (Jan. 2018), 1139–1141.
Susto, G.A., Schirru, A., Pampuri, S., McLoone, S., Beghi, A., Machine learning for predictive maintenance: a multiple classifier approach. IEEE Trans Ind Inform 11:3 (June 2015), 812–820.
Kaparthi, S., Bumblauskas, D., Designing predictive maintenance systems using decision tree-based machine learning techniques. Int J Qual Reliab Manag 37 (2020), 659–686.
Li, W., Korczynski, J., A reliability-based approach to transmission maintenance planning and its application in BC hydro system. IEEE Trans Power Deliv 19:1 (Jan. 2004), 303–308.
Liu, J., Kazemi, M., Motamedi, A., Zareipour, H., Rippon, J., Security-constrained optimal scheduling of transmission outages with load curtailment. IEEE Trans Power Syst 33:1 (Jan. 2018), 921–931.
Dalal, G., Gilboa, E., Mannor, S., Wehenkel, L., Chance-constrained outage scheduling using a machine learning proxy. IEEE Trans Power Syst 34:4 (2019), 2528–2540.
Gargari, M.Z., Hagh, M.T., Zadeh, S.G., Preventive maintenance scheduling of multi energy microgrid to enhance the resiliency of system. Energy, 221, 2021, 119782.
Shayesteh, E., Yu, J., Hilber, P., Maintenance optimization of power systems with renewable energy sources integrated. Energy 149 (2018), 577–586.
Wang, Y., Li, Z., Shahidehpour, M., Wu, L., Guo, C.X., Zhu, B., Stochastic Co-optimization of midterm and short-term maintenance outage scheduling considering covariates in power systems. IEEE Trans Power Syst 31:6 (Nov. 2016), 4795–4805.
Elia, N.V., Grid data. available at: http://www.elia.be/en/grid-data, 2021.
Carnero, M.C., Gómez, A., Maintenance strategy selection in electric power distribution systems. Energy 129 (2017), 255–272.
Raileanu, L.E., Stoffel, K., Theoretical comparison between the Gini index and information gain criteria. Ann Math Artif Intell, 2004, 77–93.
Toubeau, J.-F., Bottieau, J., Vallée, F., De Grève, Z., Deep learning-based multivariate probabilistic forecasting for short-term scheduling in power markets. IEEE Trans Power Syst 34:2 (March 2019), 1203–1215.
Friedman, N., Geiger, D., Goldszmidt, M., Bayesian network classifiers. Mach Learn 29:2–3 (November 1997), 131–163.
Hearst, M.A., Dumais, S.T., Osuna, E., Platt, J., Scholkopf, B., Support vector machines. IEEE Intell Syst Their Appl 13:4 (July-Aug. 1998), 18–28.
Bottieau, J., Hubert, L., De Grève, Z., Vallée, F., Toubeau, J.-F., Very-short-term probabilistic forecasting for a risk-aware participation in the single price imbalance settlement. IEEE Trans Power Syst 35:2 (March 2020), 1218–1230.
Schaffer, C., Selecting a classification method by cross-validation. Mach Learn 13 (1993), 135–143.
Liefferinckx, C., Bottieau, J., Toubeau, J.-F., Thomas, D., Rahier, J.-F., Louis, E., et al. Collecting new peak and intermediate infliximab levels to predict remission in inflammatory bowel diseases. Inflamm Bowel Dis, Mar 30 2021, 10.1093/ibd/izab042.
Burke, E.K., Smith, A.J., Hybrid evolutionary techniques for the maintenance scheduling problem. IEEE Trans Power Syst 15:1 (Feb. 2000), 122–128.
Heo, J., et al. A reliability-centered approach to an optimal maintenance strategy in transmission systems using a genetic algorithm. IEEE Trans Power Deliv 26:4 (Oct. 2011), 2171–2179.
Toubeau, J.-F., Bottieau, J., De Grève, Z., Vallée, F., Bruninx, K., Data-driven scheduling of energy storage in day-ahead energy and reserve markets with probabilistic guarantees on real-time delivery. IEEE Trans Power Syst 36:4 (July 2021), 2815–2828.