| Summary: | Abstract The roll-out of decentralized energy resources introduces a set of new challenges for system operators. In order to address these requirements it is necessary to utilize modern control strategies, and consequently the use of automation and Information and Communication Technologies. Nevertheless, the use of multiple control schemes in a complex grid may result in a conflicting behavior of two or more control devices which ultimately lead to an undesired behavior of the controlled power plants. Nowadays, there are several efforts toward the early identification and mitigation of controller conflicts within complex energy systems. However, a comprehensive methodology to address the dynamics of the system from a broader perspective is not yet fully established. For this reason, this research project presents a method for identifying and testing potential controller conflicts considering the dynamic behavior of the components within the system under study by using multiple models and analysis tools as a part of a toolchain integration approach.
|
|---|
