Open AccessHandling multi‐parametric variations in distributed control of cyber‐physical energy systems through optimal communication design
Author(s) -
Korukonda Meher Preetam,
Mishra Swaroop Ranjan,
Shukla Anupam,
Behera Laxmidhar
Publication year - 2017
Publication title -
iet cyber‐physical systems: theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 7
ISSN - 2398-3396
DOI - 10.1049/iet-cps.2017.0024
Subject(s) - cyber physical system , smart grid , distributed computing , reliability (semiconductor) , computer science , parametric statistics , controller (irrigation) , telecommunications network , can bus , constraint (computer aided design) , grid , process (computing) , communications system , physical system , control system , control engineering , engineering , computer network , statistics , mathematics , operating system , mechanical engineering , agronomy , power (physics) , physics , geometry , quantum mechanics , electrical engineering , biology
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.