Optimal PMU placement to ensure system observability under contingencies
- 1 July 2009
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Optimal placement of Phasor Measurement Units (PMUs), to ensure complete observability of power system, should not only be decided at the base case operating conditions but also must consider the contingency cases. This paper presents a simple and effective method for optimal placement of PMUs considering critical contingencies. A voltage stability based contingency screening method has been utilized to select critical contingency cases. An Integer Linear Programming (ILP) based algorithm for the PMU placement has been modified to determine optimal PMU locations under the system intact and the critical contingency cases. The proposed method is tested on the IEEE 14-bus system, New England 39-bus system and Northern Region Power Grid (NRPG) 246-bus Indian system and the test results have been compared with three more modified PMU placement methods viz. depth first search, direct spanning tree and direct N-1 spanning tree methods.Keywords
This publication has 11 references indexed in Scilit:
- Optimal Placement of Phasor Measurement Units for Power System ObservabilityIEEE Transactions on Power Systems, 2008
- Exploring the IEEE Standard C37.118–2005 Synchrophasors for Power SystemsIEEE Transactions on Power Delivery, 2008
- Phasor Measurement Unit Placement Techniques for Complete and Incomplete ObservabilityIEEE Transactions on Power Delivery, 2005
- Observability analysis and measurement placement for systems with PMUsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A security oriented approach to PMU positioning for advanced monitoring of a transmission gridPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Nondominated sorting genetic algorithm for optimal phasor measurement placementIEEE Transactions on Power Systems, 2003
- Meter placement for power system state estimation using simulated annealingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Tabu search based meter placement for topological observability in power system state estimationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- State Estimation in Electric Power SystemsPublished by Springer Science and Business Media LLC ,1999
- Generalized observability analysis and measurement classificationIEEE Transactions on Power Systems, 1998