Title :
Shipboard Power Systems Reconfiguration—A Cyber-Physical Framework For Response Time Analysis
Author :
Bose, Sayan ; Natarajan, Balasubramaniam ; Scoglio, Caterina M. ; Schulz, Noel N. ; Gruenbacher, Don M. ; Das, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kansas State Univ., Kansas City, KS, USA
Abstract :
Several applications within a shipboard system involve the integration of physical systems (e.g., power systems) and cyber computing platforms such as command and control, communications, and sensing networks, and require real-time quality of service (QoS) guarantees. In this paper, the distribution of total (end-to-end) delay associated with fault diagnosis and reconfiguration of shipboard power system (SPS) is investigated from a cyber-physical systems (CPS) perspective. Specifically, a cross-layer end-to-end delay analysis framework is introduced for SPS reconfiguration. The proposed framework stochastically models the heterogeneity of actions of various subsystems involved in the reconfiguration tasks viz., generation of fault information by sensor nodes associated to the power system, processing of actions at control center to resolve fault locations and reconfiguration, and flow of information through communication network to perform necessary actions. The proposed framework then combines appropriately the output delay distributions from each subsystem to: 1) analytically predict the distribution of end-to-end delay in SPS reconfiguration after the occurrence of faults and 2) analyze and design real-time reconfiguration solutions for shipboard CPS, that meet total delay requirements. Simulations using various topological scenarios demonstrate that the proposed analytical framework closely predict the total delay associated with SPS reconfiguration.
Keywords :
delays; embedded systems; fault location; marine power systems; power engineering computing; power system faults; power system reliability; quality of service; stochastic processes; wireless sensor networks; QoS; SPS reconfiguration; action heterogeneity processing; communication network; control center; cross-layer end-to-end delay analysis; cyber computing; cyber-physical system; delay distribution; delay requirement; fault diagnosis; fault information generation; fault location; information flow; response time analysis; sensor node; shipboard CPS; shipboard power system; stochastic model; Cyber-physical systems; delay distribution; end-to-end response time analysis framework; real-time quality of service (QoS); sensor topology; shipboard power system (SPS);
Journal_Title :
Industrial Informatics, IEEE Transactions on
DOI :
10.1109/TII.2013.2262282