Design and Evaluation of Distributed Networked Control for a Dual-Machine Power System
For power grid operators, this provides a more realistic modeling and control approach to mitigate inter-area oscillations, though it is an incremental improvement over existing decentralized methods.
This work proposes a distributed networked control scheme for reducing inter-area swing oscillations in power grids, considering communication delays and data sampling. The design achieves effective oscillation dampening in a dual-machine power system, with performance evaluated via quadratic cost optimization or disturbance attenuation.
Oscillations between swing modes of electric machines is an important limitation in achieving a high level of transient performance and reliability in power grids. Based on the new advances in measurement and transmission of wide-area information, this work proposes a distributed networked control scheme by considering the communication delays. The results are applied to reduce the inter-area swing oscillations in a power grid. In comparison with the previous works, we provide a more realistic modeling of the resulting networked control system with data sampling and delays. The exactness of the proposed modeling allows for precise evaluation and comparison between the distributed and decentralized schema. A symmetric a dual machine power system is highly oscillatory and we focus on this case to evaluate the ability of the proposed control design in dampening of the oscillations. The design can be done either based on optimization of a quadratic cost function or a disturbance attenuation level