The dynamic control of the power generation system is one of the most important elements in an offshore platform, since it is responsible for maintaining the electrical system stability both in steady‐state and transient operation, thus avoiding the complete loss of power supply and, consequently, large economic losses. In this regard, the Real-Time Digital Simulator (RTDS) becomes an important tool, as it allows to simulate the generation system dynamic in real-time with the possibility of testing actual control and protection devices, through a hardware-in-the-loop scheme. Typically, offline simulation studies of the generator dynamic control are carried out with limited information from manufacturers, which leads to the use of typical data for models and, therefore, the obtention of unreliable responses. However, to obtain a realistic behavior of the electrical system dynamic in the RTDS, an accurate representation of its models is necessary. In this sense, this paper presents the dynamic control validation process of the power generation system of an oil extraction platform in the RTDS, through the use of field data, such as actual regulators' parameters and field tests records. Several simulations of transient phenomena were carried out and the dynamic responses of speed and voltage regulators were analyzed. Comparative analysis between field and laboratory test results demonstrates the validation of the simulation model developed in the RTDS.

Driven by the environmental benefits associated with reduced greenhouse gas emissions, oil companies have intensified research efforts into reassessing the strategies used to meet the electrical demands of offshore production platforms. Among the various alternatives available, the deployment of onshore–offshore interconnections via High-Voltage Direct Current (HVDC) transmission systems has emerged as a promising solution, offering both economic and operational advantages. In addition to reliably meeting the electrical demand of offshore facilities, this approach enables enhanced operational flexibility due to the advanced control and regulation capabilities inherent to HVDC converter stations. Based on the use of interconnection through an HVDC link, aiming to evaluate the operation of the electrical system as a whole, this study focuses on evaluating dynamic events using the PSCAD software version 5.0.2 to analyze the direct online starting of a large induction motor and the sudden loss of a local synchronous generating unit. The simulation results are then analyzed to assess the effectiveness of both Grid-Following (GFL) and Grid-Forming (GFM) control strategies for the converters, while the synchronous generators are evaluated under both voltage regulation and constant power factor control operation, with a particular focus on system stability and restoration of normal operating conditions in the sequence of events.

In an effort to restrict further increases in climate change, governments and companies are exploring ways to reduce greenhouse gas (GHG) emissions. In this context, the oil industry, which contributes to indirect GHG emissions, is seeking ways to develop solutions to this issue. One such approach focuses on the connection of offshore oil production platforms to the onshore power grid via high-voltage direct current (HVDC), enabling a total or partial reduction in the number of local generators, which are generally powered by gas turbines. Therefore, this work aims to determine the technical feasibility, based on transient and dynamic stability analyses, of electrifying a system composed of six floating production storage and offloading (FPSO) units connected to a hub, which is powered by the onshore grid through submarine cables using HVDC technology. The analysis includes significant contingencies that could lead the system to undesirable operating conditions, allowing for the identification of appropriate remedial control actions. The analysis, based on real data and parameters, was carried out using PSCAD software. The results show that the modeled system is technically viable and could be adopted by oil companies. In addition to aligning with global warming mitigation goals, the proposal includes a complex system modeling approach, with the aim of enabling further study.