Distribution Grid State Assessment for Control Reserve Provision Using Boundary Load Flow

With the increasing expansion of wind and solar power plants, these technologies will also have to contribute control reserve to guarantee frequency stability within the next couple of years. In order to maintain the security of supply at the same level in the future, it must be ensured that wind and solar power plants are able to feed in electricity into the distribution grid without bottlenecks when activated. The present work presents a grid state assessment, which takes into account the special features of the control reserve supply. The identification of a future grid state, which is necessary for an ex ante evaluation, poses the challenge of forecasting loads. The Boundary Load Flow method takes load uncertainties into account and is used to estimate a possible interval for all grid parameters. Grid congestions can thus be detected preventively and suppliers of control reserve can be approved or excluded. A validation in combination with an exemplary application shows the feasibility of the overall methodology.

[1]  Friederich Kupzog,et al.  AVOIDING GRID CONGESTIONS WITH TRAFFIC LIGHT APPROACH AND THE FLEXIBILITY OPERATOR , 2014 .

[2]  Armin Schnettler,et al.  Grid Integration of Electric Vehicle Fleets Using a Traffic Light Concept , 2017 .

[3]  Yi Ding,et al.  A flex-market design for flexibility services through DERs , 2013, IEEE PES ISGT Europe 2013.

[4]  Tomi Medved,et al.  A traffic light system for enhancing the utilization of demand response in LV distribution networks , 2016, 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

[5]  B. Bak-Jensen,et al.  Probabilistic load flow: A review , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[6]  Raphael Caire,et al.  AGENT-BASED DISTRIBUTION GRID OPERATION BASED ON A TRAFFIC LIGHT CONCEPT , 2015 .

[7]  Kevin Tomsovic,et al.  Boundary load flow solutions , 2004 .

[8]  Antonello Monti,et al.  Impact of Pseudo-Measurements From New Power Profiles on State Estimation in Low-Voltage Grids , 2016, IEEE Transactions on Instrumentation and Measurement.

[9]  Ronald N. Allan,et al.  Probabilistic load flow using multilinearisations , 1981 .