TY - JOUR
T1 - Optimal micro-PMU placement and virtualization for distribution network changing topologies
AU - Ibarra, L.
AU - Avilés, J.
AU - Guillen, D.
AU - Mayo-Maldonado, J. C.
AU - Valdez-Resendiz, J. E.
AU - Ponce, P.
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/9
Y1 - 2021/9
N2 - Distribution networks are currently the main focus of modernization in electric power systems. For instance, to deal with emerging and increasingly challenging scenarios (e.g., high penetration of renewables, distributed generation, electric vehicle proliferation, etc.), new smart grid technologies are being deployed over distribution networks. This is the case of micro phasor measurement units (μPMUs), which can be seen as a modern high-precision version of the legacy transmission system PMU. Motivated by the benefits, as well as the costs associated with μPMU deployment, in this work we introduce a new methodology to determine optimal μPMU placement, considering grid topology changes. Firstly, a technique to minimize power losses across the grid by changing its topology is presented. Afterward, a technique to estimate the grid states – full numerical observability – with the minimum number of μPMUs is disclosed, introducing the concept of bus “virtualization” through pseudo-measurements. This work is based on a multi-objective approach, acting on genetic algorithms, and validated over a distribution network with a variant structure, which is optimally instrumented. It is shown that the proposed methodology can maintain low approximation errors despite topology variations. Also, the virtualization approach enables full numerical observability even when using fewer measurement units, i.e., the observability constraint is eliminated and the number of μPMUs can be solely related to the estimation error.
AB - Distribution networks are currently the main focus of modernization in electric power systems. For instance, to deal with emerging and increasingly challenging scenarios (e.g., high penetration of renewables, distributed generation, electric vehicle proliferation, etc.), new smart grid technologies are being deployed over distribution networks. This is the case of micro phasor measurement units (μPMUs), which can be seen as a modern high-precision version of the legacy transmission system PMU. Motivated by the benefits, as well as the costs associated with μPMU deployment, in this work we introduce a new methodology to determine optimal μPMU placement, considering grid topology changes. Firstly, a technique to minimize power losses across the grid by changing its topology is presented. Afterward, a technique to estimate the grid states – full numerical observability – with the minimum number of μPMUs is disclosed, introducing the concept of bus “virtualization” through pseudo-measurements. This work is based on a multi-objective approach, acting on genetic algorithms, and validated over a distribution network with a variant structure, which is optimally instrumented. It is shown that the proposed methodology can maintain low approximation errors despite topology variations. Also, the virtualization approach enables full numerical observability even when using fewer measurement units, i.e., the observability constraint is eliminated and the number of μPMUs can be solely related to the estimation error.
KW - Distribution network
KW - Genetic algorithms
KW - Grid reconfiguration
KW - Monitoring
KW - Optimal placement
UR - http://www.scopus.com/inward/record.url?scp=85110347816&partnerID=8YFLogxK
U2 - 10.1016/j.segan.2021.100510
DO - 10.1016/j.segan.2021.100510
M3 - Article
AN - SCOPUS:85110347816
SN - 2352-4677
VL - 27
JO - Sustainable Energy, Grids and Networks
JF - Sustainable Energy, Grids and Networks
M1 - 100510
ER -