Visible to the public Distribution Grid State Assessment for Control Reserve Provision Using Boundary Load Flow

TitleDistribution Grid State Assessment for Control Reserve Provision Using Boundary Load Flow
Publication TypeConference Paper
Year of Publication2019
AuthorsScheffer, V., Ipach, H., Becker, C.
Conference Name2019 IEEE Milan PowerTech
Date PublishedJune 2019
ISBN Number978-1-5386-4722-6
Keywordsboundary load flow, boundary load flow method, control reserve, control reserve provision, control reserve supply, coupled congestion control, distributed power generation, distribution grid state assessment, ex ante evaluation, forecasting loads, frequency stability, future grid state identification, grid congestions, grid parameter estimation, grid parameters, grid state assessment, grid state identification, Jacobian matrices, Load flow, load forecasting, load uncertainties, Mathematical model, Power cables, power generation, power grids, power system parameter estimation, power system security, power system stability, power system state estimation, Probabilistic logic, pubcrawl, resilience, Resiliency, Scalability, solar power plants, solar power stations, standard load profile, wind power plants

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.

Citation Keyscheffer_distribution_2019