Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Model predictive control for reactive power management in transmission connected distribution grids
 Institute of Electrical and Electronics Engineers IEEE; IEEE Computer Society; Institute of Electrical and Electronics Engineers IEEE, Power & Energy Society PES: IEEE PES AsiaPacific Power and Energy Engineering Conference, APPEEC 2016 : October 2528, 2016, Xi'an, China Piscataway, NJ: IEEE, 2016 ISBN: 9781509054183 ISBN: 9781509054190 pp.419423 
 AsiaPacific Power and Energy Engineering Conference (APPEEC) <2016, Xi'an> 

 English 
 Conference Paper 
 Fraunhofer IWES () 
 reactive power; optimization; Load Flow; Software; Model Predictive Control (MPC) 
Abstract
In this work a multiobjective model predictive control for reactive power management in transmission connected distribution grids with high share of wind power is presented. The proposed control utilizes reactive power capabilities of wind farms and tapchanger positions in order to improve distribution grid operation. Control signals namely tapchanger positions and reactive power setpoints are smoothed over the forecast horizon. Further possible optimization objectives are power loss reduction, voltage profile smoothing and complying with reactive power exchange limits with the transmission grid. A mixedinteger nonlinear optimal power flow problem (MINLPOPF) is formulated incorporating grid operation limits. The performance is evaluated on a real German 110kV distribution grid with 1.6 GW wind power for one year. With the proposed control, reactive power exchange within allowable limits is increased from 58.3% to 94.5%, compared to a reference operation where on ly tapchanger positions are utilized for loss reduction with a single timestep optimization.