Handling multi-parametric variations in distributed control of cyber-physical energy systems through optimal communication design

Cyber physical systems like smart grid are largely migrating towards distributed control philosophy to achieve high reliability. The design of communication network between various sensors and controllers plays an important role in control of these systems. The design process involves examining a number of topological combinations, which increase exponentially with the number of nodes in the considered system. Moreover, for a practical system, the different characteristics and availability of various physical and communication resources in the network pose multiple constraints on this design. In this work, a generalised constraint-based sensor controller connection design methodology has been developed, which effectively reduces the number of combinations, to design more stable cyber-physical controllers. To handle variations in multiple parameters in physical and communication domain, different controllers have been developed for different operating conditions that are scheduled as per requirement. The methodology has been shown to stabilise bus voltages in a smart grid scenario under variations in load, communication delays and loss of communication links