PPT-Optimal Power Flow:

Closing the Loop over Corrupted Data André Teixeira Henrik Sandberg György Dán and Karl H Johansson ACCESS Linnaeus Centre KTH Royal Institute of Technology American Control Conference. Optimal Power Flow uses stateoftheart techniques including an interior point method with barrier functions and infeasibility handling to achieve ultimate accuracy and flexibility in solving systems of any size Optimal Optimal Secure Objective Contro Van Hertem J Verboomen K Purchala R Belmans W L Kling ESATELECTA KULeuven Belgium email dirkvanhertemieeeorg Electrical Power Systems Group TU Delft The Netherlands Elia nv Belgium Power Systems Laboratory TUEindhoven The Netherlands and TenneT Daniel Kirschen. © 2011 D. Kirschen and the University of Washington. 1. Economic dispatch. Objective: . minimize . the cost of generation. Constraints. Equality constraint: load generation balance. Department of Electrical and Computer Engineering. Lanchao. Liu and Zhu Han. Department. of Electrical and Computer Engineering. Department of . Computer Science. University of Houston. Supported by . Single-chip Heterogeneous Processors. Euijin Kwon. 1,2. Jae Young Jang. 2. Jae W. Lee. 2. Nam Sung Kim. 2,3. 1. 2. 3. Single-chip heterogeneous processors. 2. Compared to systems based on discrete components. Daniel Kirschen. Close Professor of Electrical Engineering. University . of . Washington. © 2011 D. Kirschen and the University of Washington. 1. Outline. A bit of background. The power flow problem. control and pricing. Desmond . Cai. Caltech (CS). . John Ledyard Caltech (. Ec. ). . Steven Low Caltech (CS and EE). With a lot of help from others at . Caltech . and Southern California Edison. Flow. Manuel Ruiz – RTE – manuel.ruiz@rte-france.com. 1. 2. A . small. . example. . The power system network is a graph described . using . buses (nodes) and branches (directed edges). . Power flow computations aim at providing a power and voltage distribution of a power system network given . Lecture . 13: . Power . Flow, Contingency Analysis, Power System Control . Prof. Tom Overbye. Dept. of Electrical and Computer Engineering. Texas A&M University. overbye@tamu.edu. Announcements. Finish reading Chapter 6. Columbia University. Optimization over Graph with Application to . Power Systems. Acknowledgements. Caltech:. Steven Low. Somayeh Sojoudi. Stanford University:. Stephen Boyd. Eric Chu. Matt . Kranning. triangularization. . process, n=4.. Data flow and PE arrangement for. annulling. process . , n=4.. A. . . Gebbt. , Applied Optimal Estimation, M.I.T. . Press, 1974.. J. . S. . Meditch. , . Stochastic . Optimal Control of Flow and Sediment in River and Watershed National Center for Computational Hydroscience and Engineering (NCCHE) The University of Mississippi Presented in 35th IAHR World Congress, September 8-13,2013, Chengdu, Lecture . 16: Power Flow Sensitivities,. Economic Dispatch. Prof. Tom Overbye. Dept. . of Electrical and Computer Engineering. University of Illinois at . Urbana-Champaign. overbye@illinois.edu. Announcements. André . Teixeira. , . Henrik. Sandberg, . György. . Dán. , and Karl H. . Johansson. ACCESS Linnaeus Centre, KTH Royal Institute of Technology. American. Control Conference. Montréal, June 28th, 2012.