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The need for improved operational efficiency planning accuracy leads to a growing number of sensors and other monitoring sources in our power system. New methods for properly dealing with this increasing amount of data are required. This paper presents how clustering can help to drastically reduce the processing time of energy data time series. The developed approach categorizes similar load behavior...
To correctly estimate the hosting capacity, the proposed approach has been designed as the basis of a tool to analyze the scalability and replicability potential of smart grids solution. The paper is devoted to the hosting capacity evaluation of distribution feeders with the three step probabilistic approach. The proposed method is presented and applied to a medium voltage network with 8 feeders.
Standard load profiles, which are representative load and generation profiles approved by regulators, are currently used for market balancing mechanism and network planning purpose. However it is observed that these profiles are not adapted to the current evolution of the power system in which consumers and distributed generation sources play a central role. Indeed standard load profiles are constructed...
The need to know the exact placement of a certain sensor or smart meter in a network is indispensable for all sorts of applications. From the network operator's enterprise application down to local control applications using real-time measurements for active integration of renewables. Available data from the communication systems of these metering systems, as well as measurements from these sensors...
Increasing photovoltaic (PV) penetration is a major driver for developing new methods to integrate renewable generation into distribution systems. For planning of low voltage distribution networks future share of penetrations have to be modeled in an appropriate way, to simulate and analyze the impact of PV generation. Different approaches to model high penetration scenarios - in particular defining...
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