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Yalin Huang

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Yalin was born in China. She received her B.Sc. degree in Electrical Engineering from South China University of Technology, China, in 2009. She then pursued her Master study in Royal Institute of Technology, Sweden. She received her M.Sc. degree in Electrical Engineering from Royal Institute of Technology in 2011. She starts her PhD research in 2011.

Risk analysis methods and network regulation for electric power systems with integrated distributed generation

One of EU's actions against climate change is to meet 20% of our energy needs from renewable sources. This will result in that more and more distributed generation (DG) will be connected to the electricity distribution and subtransmission networks. The Swedish Energy Agency has a planning goal of integrating 30 TWh wind power by the year 2020. The network owners should enable for connection of DG meanwhile they should fulfill requirements on power quality and adequate reliability at a reasonable cost for their customers. The uncertainty in where the DG is going to connect to the network will affect the network planning.

This project will investigate how DG affects the power system reliability as well as how DG affects system planning considering the uncertainties regarding sizes and locations. The project also aims to investigate the economic incentives different network regulations give the network owner to extend the network when a larger share of DG is planned. To analyze the effect of different regulations the network owners' behavior under a certain regulation and the impact it has on the integration of DG has to be simulated. Models and methods for how to consider DG in the network planning have to be developed and the financial impact for the distribution network owner due to a certain regulation needs to be estimated.