Abstract
The small amount of measurements in distribution grids makes their monitoring difficult. Topological observability may not be possible, and thus, pseudo-measurements are needed to perform state estimation, which is required to control elements such as distributed generation or transformers at distribution grids. Therefore, we consider the problem of optimal sensor placement to improve the state estimation accuracy in large-scale, 3-phase coupled, unbalanced distribution grids. This is an NP-hard optimization problem whose optimal solution is unpractical to obtain for large networks. For that reason, we develop a computationally efficient convex optimization algorithm to compute a lower bound on the possible value of the optimal solution, and thus check the gap between the bound and heuristic solutions. We test the method on a large test feeder, the standard IEEE 8500-node, to show the effectiveness of the approach.
Original language | English |
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Title of host publication | Proceedings of the 2019 IEEE Power Tech Conference (PowerTech 2019) |
Place of Publication | Piscataway, NJ, USA |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5386-4722-6 |
DOIs | |
Publication status | Published - 2019 |
Event | 2019 IEEE Milan PowerTech, PowerTech 2019 - Milan, Italy Duration: 23 Jun 2019 → 27 Jun 2019 |
Conference
Conference | 2019 IEEE Milan PowerTech, PowerTech 2019 |
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Country/Territory | Italy |
City | Milan |
Period | 23/06/19 → 27/06/19 |
Keywords
- Distribution grid state estimation
- Optimal design of experiments
- Optimal sensor placement
- Phasor measurement units
- Projected gradient descent