Abstract
Smart grid technology utilizes phasor measurement units (PMUs) as the key devices to provide synchronized measurements on an electrical grid, enabling wide area monitoring and control. Due to the high cost of deploying and maintaining these devices, an efficient placement strategy is essential in enhancing the reliability of a power grid at a relatively low cost. In this paper, we propose a novel PMU deployment method based on the effectiveness of detecting line faults. We have carried out a sensitivity study of a PMU-based fault detection method using three different distance metrics and used the study as a guideline for efficient PMU deployment. To illustrate the effectiveness of this approach, we have derived a number of alternative PMU placement plans for a power grid from a protection perspective. Experimental results show that many of our PMU placement plans greatly reduce the required PMU deployment (up to 80 %) as compared to the original placement, yet still provides similar level of accuracy in fault detection.
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Notes
- 1.
Note that this method of deriving the connectivity graph ensures that our representation is a subset of the underlying power grid’s full connectivity (other paths between sites may exist).
- 2.
The actual site names are not displayed in Fig. 7 due to security reasons. Figure 7 shows 36 sites because we included 5 sites which do not have PMUs installed in the original grid, in order to maintain the original topology. Note that the new PMU deployment plan we generated only places PMUs on the sites that are PMU-equipped in the original power grid.
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Acknowledgement
The generous support from Bonneville Power Administration and Oregon BEST through the NW Energy XP Award is gratefully acknowledged. The authors also would like to thank Bonneville Power Administration for providing PMU data used in this research.
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Barella, R. et al. (2015). A Sensitivity Based Approach for Efficient PMU Deployment on Smart Grid. In: Helfert, M., Krempels, KH., Klein, C., Donellan, B., Guiskhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2015 2015. Communications in Computer and Information Science, vol 579. Springer, Cham. https://doi.org/10.1007/978-3-319-27753-0_11
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