Optimal Placement of Measurement Devices in Electric Distribution Systems
- 1 April 2006
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007
- No. 10915281,p. 1873-1878
- https://doi.org/10.1109/imtc.2006.328284
Abstract
This paper proposes an optimization algorithm suitable to choose the optimal number and position of the measurement devices needed to operate management and control issues, such as energy dispatching and protection coordination, in modern electric distribution networks. The goal of the proposed procedure, which is based on the dynamic programming, is to guarantee at the same time the minimum cost and the accuracy required to the measured data. Both the random changes of the loads and the uncertainty introduced by the measurement devices are taken into account. An example, relevant to a real size distribution network, shows the validity of the proposed approachKeywords
This publication has 10 references indexed in Scilit:
- Measurement location for state estimation of distribution networks with generationIEE Proceedings - Generation, Transmission and Distribution, 2005
- Auto-Evaluation of the Uncertainty in Virtual InstrumentsIEEE Transactions on Instrumentation and Measurement, 2004
- Uncertainty estimation for DSP‐based power quality measurementsCOMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2004
- Power system parameter estimation: a surveyIEEE Transactions on Power Systems, 2000
- Optimal sectionalizing switches allocation in distribution networksIEEE Transactions on Power Delivery, 1999
- A practical distribution state calculation algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Meter placement for real-time monitoring of distribution feedersIEEE Transactions on Power Systems, 1996
- Distribution system state estimationIEEE Transactions on Power Systems, 1995
- State estimation for electric power distribution systems in quasi real-time conditionsIEEE Transactions on Power Delivery, 1993
- Power System Static-State Estimation, Part I: Exact ModelIEEE Transactions on Power Apparatus and Systems, 1970