A constraint-aware controller for renewable power plant operation under communication delays
The control of reactive power at the point of interconnection in large wind farms and PV plants poses a significant challenge. With PV/Wind units scattered over several kilometers and numbering in the hundreds, coordinating them effectively becomes a complex task, especially when accounting for potential delays in communications with the central controller. This paper presents a method to address the coordination of generation units, ensuring a consistent level of reactive power globally while considering communication delays between units and the central controller. Moreover, once the control system is designed, a reference governor is introduced to dynamically manage the reactive power reference, ensuring compliance with operational constraints. The proposed approach is evaluated through simulations using highly detailed system models, demonstrating its advantages and effectiveness. In particular, for a power plant composed of five 1 MW generators, settling times of less than one second are achieved, as required by the network codes. In addition, fulfillment of all operating constraints is guaranteed. • Reactive power control in large-scale PV/wind farms using a novel coordination method. • Non-homogeneous reactive power distribution reduces latency impact in renewable power plants. • Reference governor ensures safe operation and adherence to plant constraints dynamically. • Simulation results show stabilization times of less than 1 s, complying with power grid standards.
Authors
- Álvaro Rodríguez del Nozal (ORCID: https://orcid.org/0000-0002-8012-9239)
- Andrés E. León (ORCID: https://orcid.org/0000-0002-5165-080X)
- Juan Manuel Mauricio (ORCID: https://orcid.org/0000-0002-5702-0198)
Institutions
- Universidad Nacional del Sur (AR)
- Universidad de Sevilla (ES)
Publication Details
- Journal
- Electric Power Systems Research
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1016/j.epsr.2025.111635
- Citations
- 2
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 2.43