Operational Simulation Environment for SCADA Integration of Renewable Resources

Abstract

The complexity of power systems is rising mainly due to the expansion of renewable energy generation. Due to the enormous variability and uncertainty associated with these types of resources, they require sophisticated planning tools so that they can be used appropriately. In this sense, several tools for the simulation of renewable energy assets have been proposed. However, they are traditionally focused on the simulation of the generation process, leaving the operation of these systems in the background. Conversely, more expert SCADA operators for the management of renewable power plants are required, but their training is not an easy task. SCADA operation is usually complex, due to the wide set of information available. In this sense, simulation or co-simulation tools can clearly help to reduce the learning curve and improve their skills. Therefore, this paper proposes a useful simulator based on a JavaScript engine that can be easily connected to any renewable SCADAs, making it possible to perform different simulated scenarios for novel operator training, as if it were a real facility. Using this tool, the administrators can easily program those scenarios allowing them to sort out the lack of support found in setting up facilities and training of novel operator tasks. Additionally, different renewable energy generation models that can be implemented in the proposed simulator are described. Later, as a use example of this tool, a study case is also performed. It proposes three different wind farm generation facility models, based on different turbine models: one with the essential generation turbine function obtained from the manufacturer curve, another with an empirical model using monotonic splines, and the last one adding the most important operational states, making it possible to demonstrate the usefulness of the proposed simulation tool.

Optimal Control of Hybrid Systems and Renewable Energies

“…Furthermore, a control algorithm is proposed, based on the modified system for regenerative braking energy utilization, that would increase the efficiency with which all the regenerative braking energy is used in the whole railway electrical system. In [7], a simulator based on a JavaScript engine is proposed, that can be easily interfaced to any SCADA intended for the control and supervision of renewable energy-based generation systems. The proposed tool allows the administrators to easily program various scenarios, sorting out the lack of support found in setting up facilities and the training of novel operator tasks.…”

Wind Turbine Anomaly Detection Based on SCADA Data Mining

“…SCADA provides hundreds of condition variables such as temperatures, wind parameters, energy conversion parameters, which is continuously develop in monitoring and controlling distributed processes [17]. Recently, SCADA are widely applied in the microgrid [18,19] which based on renewable energy such as solar energy [20], wind energy [21], and biological energy [22], etc. The SCADA technology is suitable for data-driven methods and big data analysis.…”