Simon P. Teeuwsen

Simplified dynamic model of a voltage-sourced converter with modular multilevel converter design

This paper introduces a simplified HVDC model developed for modeling the steady-state and the dynamic behavior of a Voltage-Sourced Converter based on the Modular Multilevel Converter design. The simplified model is intended for time domain simulations in a positive sequence dynamic simulation program. The model is used for dynamic stability studies and performance analysis of the HVDC within a large AC network. The simplified model is validated against a detailed model comprising the complete converter controls.

Modeling the Trans Bay Cable Project as Voltage-Sourced Converter with Modular Multilevel Converter design

This paper introduces a model developed for modeling the steady-state and the dynamic behavior of the Trans Bay Cable Project as Voltage-Sourced Converter based on the Modular Multilevel Converter design. The model is intended for time domain simulations in an electromechanical simulation program with a balanced positive sequence network representation. Typical applications are transient stability studies and performance analysis of the HVDC link within a large scale AC network. The new developed model is validated against a much more accurate electro-magnetic model comprising all parts of the complex converter control and the protection circuits.

Genetic algorithm and decision tree-based oscillatory stability assessment

This paper deals with a new method for eigenvalue region prediction of critical stability modes of power systems based on decision trees. The critical stability modes result from inter-area oscillations in large-scale interconnected power systems. The existing methods for eigenvalue computation are time-consuming and require the entire system model that includes an extensive number of states. However, using decision trees, the oscillatory stability can be predicted based on a few selected inputs. Decision trees are fast, easy to grow and provide high accuracy for eigenvalue region prediction. Special emphasis is hereby focused on the selection process for the decision tree inputs. In this work, a genetic algorithm is implemented to search for the best set of inputs providing the highest performance in stability assessment.

Neural network based classification method for small-signal stability assessment

This paper deals with a new method for eigenvalue prediction of critical stability modes of power systems based on neural networks. Special interest is focused on inter-area oscillations of large-scale interconnected power systems. The existing methods for eigenvalue computations are time-consuming and require the entire system model that comprises an extensive number of state variables. After reduction of the neural network input space and proper training of the neural network, it predicts the stability condition of the power system with high accuracy. A byproduct of this research is the development of a new 16-machine dynamic test system.

Small-signal stability assessment based on advanced neural network methods

This paper deals with a new method for eigenvalue prediction of critical stability modes of power systems based on neural networks. Special interest is focused on inter-area oscillations of large-scale interconnected power systems. The existing methods for eigenvalue computations are time-consuming and require the entire system model that includes an extensive number of states. After reduction of the neural network input space and proper training of the neural network, the stability condition of the power system can be predicted with high accuracy. Hereby, the neural network outputs are assigned to regions where the critical eigenvalues can be found.

Dynamic performance of the 1000 MW BritNed HVDC interconnector project

The BritNed Interconnector is a new bipolar High Voltage DC power transmission project establishing the first HVDC link between Great Britain and the Netherlands. The new interconnection is rated to 1000 MW power for both directions and will go into commercial operation in the beginning of 2011. In this study, a power system stability analysis of the British and the Dutch power system including the new HVDC interconnection BritNed is performed. Focus is hereby on the save and reliable operation of both power systems, especially during faults and contingencies. Using the fast controllability of the HVDC, it is possible to enhance both power systems using special modulation functions of the BritNed HVDC.

Dynamic performance of the new 400 kV Storebaelt HVDC project

The 400 kV Storebaelt Converter is a new monopolar High Voltage DC power transmission project establishing the first HVDC link between the Western and the Eastern part of the Danish power system. The new interconnection is capable to transmit 600 MW power in both directions and will go into commercial operation in April 2010. In this study, a power system stability analysis of the Danish power system including the new HVDC interconnection Storebaelt is performed. Using the fast controllability of the HVDC, it is possible to enhance the power system using special modulation functions for the HVDC.

STATCOM with optimized POD controller for efficient inter-area oscillation damping

The work presented in this paper was developed during studies for the IEEE Working Group 15.05.02 “Dynamic Performance and Modeling of HVDC & FACTS”. The Working Group was initiated with the main task to study HVDC and FACTS devices under different aspects in the time domain and in the frequency domain. Converter and controller modeling, electro-mechanic and electro-magnetic phenomena, and dynamic interaction with the power system are of main interest. This paper utilizes a STATCOM with a supplementary power oscillation damping control function and discusses aspects on the dynamic performance and the optimal location in large power systems for damping of inter-area oscillations. The power oscillation damping controller is optimized using parameter identification.

Methods for utilization of MMC-VSC- HVDC for power oscillation damping

This paper deals with the utilization of High Voltage Direct Current connection (HVDC) based on Voltage Source Converter (VSC) technology in Modular Multilevel Converter (MMC) topology for the damping of power system oscillation. After a brief introduction to the basics of the MMC-VSC technology and the most common topology, the control configuration is described in detail. Building on these standard control schemes, a supplementary control is incorporated and used to damp power system oscillation in a contingency situation. The proposed approach is then implemented on a 12 bus test system to demonstrate the impact of the control measures on the overall system dynamics.

Dynamic performance of the upgraded 1400 MW New Zealand HVDC project

The existing HVDC scheme connecting the North Island and the South Island of New Zealand is currently being upgraded. During this upgrade also known as the New Zealand Inter Island HVDC Pole 3 Project, the existing HVDC Pole 1 based on mercury arc valves is replaced by a new HVDC Pole 3 based on light triggered thyristor vales. Both poles, the existing Pole 2 and the new Pole 3 are then operated as a non balanced bipolar HVDC scheme. In this study, a power system stability analysis of the HVDC Pole 2 and Pole 3 connecting the North Island and the South Island is performed. Focus is hereby on the stable operation of both power systems, especially during faults and severe contingencies. Using the fast controllability of the HVDC, it is possible to enhance both power systems using special modulation functions.