Stefan Rolauffs DE Session 3 – Block 1.2 – Paper Presentation Barcelona 12-15 May 2003 Aachen University 1 Computer-Based Support of Fault Clearance in.

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Presentation transcript:

Stefan Rolauffs DE Session 3 – Block 1.2 – Paper Presentation Barcelona May 2003 Aachen University 1 Computer-Based Support of Fault Clearance in MV Networks Dipl.-Ing. S. Rolauffs, IAEW Dr.-Ing. S. Küppers, RWE Net Dipl.-Ing. J. Weitmann, RWE Net

Stefan Rolauffs DE Session 3 – Block 1.2 – Paper Presentation Barcelona May 2003 Aachen University 2 Minimal restoration times Customer-specific evaluation of energy not supplied binary sequential  Adaptation to network topology and accessibility of substations branching point Degrees of Freedom Access order short-circuit indicator excited not excited Fault Clearance in MV Networks

Stefan Rolauffs DE Session 3 – Block 1.2 – Paper Presentation Barcelona May 2003 Aachen University 3 Degrees of Freedom Restoration of supply – after fault location – during fault location (partial restoration) partial restoration (PR) close n.o. switch open n.c. switch  Optimization of access order and switching actions

Stefan Rolauffs DE Session 3 – Block 1.2 – Paper Presentation Barcelona May 2003 Aachen University 4 Driving speed Access times to substations Times for visual inspections Probability of faults Network topology Telecontrol system Customers´ contracts Reserve power Time-dependent dataConstant data Optimization Method Optimal restoration times, individual for each customer Suggestions for all actions during fault clearance Stepwise simulation of alternative actions, Calculation of expected restoration times  Optimal and evaluated alternative actions

Stefan Rolauffs DE Session 3 – Block 1.2 – Paper Presentation Barcelona May 2003 Aachen University 5 optimal 0 mean restoration times of substations sequential withoutwith binary min max min withoutwith Example: Comparison with simple strategies Accesses: PR: +16% +24% +48% +52%

Stefan Rolauffs DE Session 3 – Block 1.2 – Paper Presentation Barcelona May 2003 Aachen University 6 Method for Optimization of Fault Clearance Optimal restoration times shorter than with simple strategies Customer-specific adaptation of fault clearance Benefit Necessary Data Precision Detailed modelling of topology and geography possible Almost optimal actions with simplified input data Application Direct support during actual fault clearance Training with fault-locating personnel