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Item type:Publication, Access status: without files , Distributed two-stage network topology processor for HVDC grid operation(2017-07); ; ; This paper presents the results of an analysis of distributed two-stage coordination of network topology processor for HVDC grids. In the first stage of the two-stage processor, the substation topology is analyzed locally using an automated graph-based algorithm. Thereafter, a distributed algorithm is proposed to used the neighboring information to realize the grid connectivity. For distributed islanding detection, the connectivity problem is formulated as a set of linear equations and solved iteratively using successive-over-relaxation method. The performance of the proposed methods versus conventional one-stage method has been tested in an islanding scenario for a 5-terminal HVDC grid.Publicationtype: Conference Paper41 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Modeling of communication infrastructure compatible to Nordic 32 power systemSmart Grid integrates communication and computation technologies into power systems. Research on interdisciplinary topics between power system and communication systems requires models for both systems. There are several power system models available representing standard power systems and real power systems. However, lacking of their corresponding communication infrastructure information leads the difficulty of communication system modeling. In this paper, a communication infrastructure model compatible to Nordic 32 power system model has been developed and presented. In this model, Wide Area Monitoring System (WAMS) is incorporated with Supervisor Control and Data Acquisition system. The parameters of this model are based on the data from a Nordic electric power utility. Validation of the model is performed through comparison of results from simulation and a previous empirical data study performed on the same utility network. In additional, this model is simulated by using different Quality of Service (QoS) mechanism. The obtained results show that congestion management mechanisms introduce slight additional delay to the highest priority traffic. But traffics with lower priority can be benefit from congestion management mechanisms. The proposed model can be widely used for other research on Nordic 32 power system.Publicationtype: Conference Paper42 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Stateful data delivery service for wide area monitoring and control applications(2014); ; Recent Information and Communication Technology (ICT) advances have enabled power system applications using measurement signals across the Wide Area Network (WAN). The application control performance relies on the quality of data delivery service. However, the characteristics of Quality of Service (QoS), such as latency, packet loss, and packet jitter, are unavoidable. It is a trend to take QoS metric requirement into the consideration of controller design. But, how to ensure the application receiving the data within the designed tolerant range is another challenge. This paper presents ongoing work on a novel Stateful Data Delivery Service (SDDS) for power system application to address the challenge from the side of the communication infrastructure. The SDDS monitors the QoS performance on-line and identifies the signals which satisfy the requirement for the application to use. As a proof of concept, a Power Oscillation Damping (POD) controller is connected to the SDDS. The result shows the improvement in robustness of the POD controller by application of the SDDS. The paper also shows the feasibility of applying SDDS to WAC applications.Publicationtype: Conference Paper38