In order to solve the problem of significant forecasting errors in distributed photovoltaic(PV) output caused by complex urban micro-meteorological condition
a global optimization approach is proposed for the deployment of micro-meteorological monitoring devices
with considering of a comprehensive node criticality metric. Firstly
an integrated electrical-meteorological node criticality index is developed by combining distribution network voltage characteristics with urban micro-meteorological influences. Then
a global optimization model for monitoring device placement is constructed and solved using a genetic algorithm. Case study results demonstrate that the proposed method effectively improves the optimal operation capability of urban power grids with high penetration of distributed PV based on the observability
flexibility
and cost-efficiency of micro-meteorological monitoring systems.
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