Magnus Perninge
Associate Professor
Department of Physics and Electrical Engineering
Faculty of Technology
+46470708833
Hello! I am an Associate Professor in Electrical Engineering at LNU. Before my present position at LNU I did my undergraduate and PhD studies at KTH and spent time as a postdoc and a researcher at Lund University.
Teaching
At the moment I teach:
 Automatic control, basic course
 Automatic control, advanced course
 Electrical machines
I am also main supervisor for a PhD student in Mathematics, Johan Jönsson.
Research
My research interest is optimal control of stochastic systems and the main emphasis of my present research is towards switched (hybrid) systems.
Applications for my research include production and energy systems.
My research groups and projects

Stochastic Analysis and Stochastic Processes The researchers of this group focus on analytical and numerical aspects of solutions to stochastic differential equations (SDE’s and SPDE’s) and stochastic…

Waves, Signals and Systems The research in waves, signals and systems deals primarily with acoustic and electromagnetic direct and inverse problems, with engineering and industrial applications.
Publications
Article in journal (Refereed)
 Perninge, M. (2018). A limitedfeedback approximation scheme for optimal switching problems with execution delays. Mathematical Methods of Operations Research. 87. 347382.
 Perninge, M., Eriksson, R. (2018). Frequency Control in Power Systems Based on a Regulating Market. IEEE Transactions on Control Systems Technology. 26. 2737.
 Hamon, C., Perninge, M., Söder, L. (2016). An importance sampling technique for probabilistic security assessment in power systems with large amounts of wind power. Electric power systems research. 131. 1118.
 Perninge, M. (2015). Approximating the parameterspace stability boundary considering postcontingency corrective controls. Electric power systems research. 121. 313324.
 Hamon, C., Perninge, M., Söder, L. (2015). A computational framework for riskbased power system operations under uncertainty : Part II: Case studies. Electric power systems research. 119. 6675.
 Hamon, C., Perninge, M., Söder, L. (2015). A computational framework for riskbased power systems operations under uncertainty : Part I: Theory. Electric power systems research. 119. 4553.
 Perninge, M., Söder, L. (2014). Irreversible investments with delayed reaction : an application to generation redispatch in power system operation. Mathematical Methods of Operations Research. 79. 195224.
 Perninge, M. (2014). Stochastic optimal power flow by multivariate Edgeworth expansions. Electric power systems research. 109. 90100.
 Perninge, M., Hamon, C. (2013). A stochastic optimal power flow problem with stability constraints : Part II: the optimization problem. IEEE Transactions on Power Systems. 28. 18491857.
 Perninge, M. (2013). Approximating the loadability surface in the presence of SNB–SLL corner points. Electric power systems research. 96. 6474.
 Hamon, C., Perninge, M., Söder, L. (2013). A stochastic optimal power flow problem with stability constraints : Part I: Approximating the stability boundary. IEEE Transactions on Power Systems. 28. 18391849.
 Perninge, M., Söder, L. (2012). A stochastic control approach to manage operational risk in power systems. IEEE Transactions on Power Systems. 27. 10211031.
 Perninge, M., Söder, L. (2012). Optimal activation of regulating bids to handle bottlenecks in power system operation. Electric power systems research. 83. 151159.
 Perninge, M., Söder, L. (2012). Analysis of transfer‐limit induced power system security by Markov chain Monte Carlo simulation. European transactions on electrical power. 22. 140151.
 Perninge, M., Lindskog, F., Söder, L. (2012). Importance sampling of injected powers for electric power system security analysis. IEEE Transactions on Power Systems. 27. 311.
Conference paper (Refereed)
 Perninge, M. (2018). A Numerical Approximation Scheme for LargeScale Optimal Switching Problems with Reaction Delays. 2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC). 58075812.
 Perninge, M., Eriksson, R. (2018). Market based Frequency Control in Power Systems : The MultiPeriod Problem. IFAC Papersonline : 10th IFAC Symposium on Control of Power and Energy Systems CPES 2018 Tokyo, Japan, 4–6 September 2018. 468473.
 Perninge, M., Eriksson, R. (2017). Optimal Tertiary Frequency Control in Power Systems with MarketBased Regulation. IFACPapersOnLine. 43744381.
 Hamon, C., Perninge, M., Söder, L. (2016). Applying stochastic optimal power flow to power systems with large amounts of wind power nd detailed stability limits. 2013 IREP Symposium Bulk Power System Dynamics and Control  IX Optimization, Security and Control of the Emerging Power Grid (IREP).
 Perninge, M., Eriksson, R. (2016). A stochastic control formulation of the continuoustime power system operation problem. 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC).
 Hamon, C., Perninge, M., Söder, L. (2014). Efficient importance sampling technique for estimating operating risks in power systems with large amounts of wind power. Proceedings of the 13th International Workshop on Largescale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants.
 Hamon, C., Perninge, M., Söder, L. (2013). The value of using chanceconstrained optimal power flows for generation redispatch under uncertainty with detailed security constraints. 2013 IEEE PES AsiaPacific Power and Energy Engineering Conference (APPEEC).
 Hamon, C., Perninge, M., Söder, L. (2013). Stochastic optimal power flow problem with stability constraints. 2013 IEEE Power and Energy Society General Meeting (PES).
 Perninge, M., Lavenius, J., Vanfretti, L. (2013). Approximating a postcontingency stable operation region in parameter space through timedomain simulation. Proceedings of IREP Symposium: Bulk Power System Dynamics and Control  IX Optimization, Security and Control of the Emerging Power Grid, IREP 2013.
 Perninge, M., Eriksson, R. (2012). Using a fixed point method to compute the parameter space distance to the surface of constant critical energy. EEEIC 2012  Conference Proceedings 11th International Conference on Environment and Electrical Engineering.