Hybrid controller of energy storage and renewable DG for congestion management

High penetration of renewable energy resources in distribution networks might lead to congestion issues in some corridors (lines) of the existing circuits, primarily during minimum demand scenarios. The adoption of active network management (ANM) schemes can effectively manage the power output of renewable distributed generation (i.e., curtailment) to prevent thermal constraint violation. However, this approach results (as expected) in lower contributions of low-carbon electricity generation to the system, hence lower revenues. By incorporating energy storage systems, wind farms could improve their capacity factor. Energy storage systems can be used to deal with congestion issues, leaving curtailment as the last resort. This paper proposes a novel (pseudo) real-time hybrid controller of wind power and energy storage to manage congestion in a monitored corridor based on pre-processed historical data. The year-long, hourly results show that the proposed scheme responds effectively to the thermal constraints allowing the harvesting of more wind energy.