Enabling cyber‐physical demand response in smart grids via conjoint communication and controller design. Issue 4 (5th February 2019)

• Record Type: Journal Article
• Authors: Mishra, Swaroop Ranjan; Korukonda, Meher Preetam; Behera, Laxmidhar; Shukla, Anupam
• Is Part Of: IET cyber-physical systems. Volume 4:Issue 4(2019)
• Page Start: 291
• Page End: 303
• Publication Date: 2019-02-05
• Subjects: control system synthesis -- power system control -- voltage control -- scheduling -- Lyapunov methods -- optimisation -- stability -- smart power grids -- distributed power generation -- linear matrix inequalities -- demand side management; redistributed loads -- switching schedules -- individual LS -- voltage controllers -- optimisation frameworks -- linear matrix inequalities -- multiinput multioutput voltage control -- designed communication network -- voltage controller stability margin -- load profile -- physical properties -- COnjoint Methodology -- sparse communication setting -- maximum load -- nonlocal loads -- individual buses program -- schedulers present -- distribution system -- DDR -- distributed demand response -- novel user‐centric cyber‐physical framework -- controller design -- conjoint communication -- smart grid -- enabling cyber‐physical demand response
• DOI: 10.1049/iet-cps.2018.5021
• Languages: English
• ISSNs: 2398-3396

Abstract

Abstract : This study proposes a novel user‐centric cyber‐physical framework to achieve distributed demand response (DDR) in a distribution system where local schedulers (LS) present at individual buses program both local and non‐local loads to reduce the maximum load within a sparse communication setting. A COnjoint Methodology for communication and controller DESign (COMDES) has been proposed to design the topology of the communication network while considering various cyber and physical properties of the smart grid like bandwidth, load profile and voltage controller stability margin. The designed communication network provides a unified pathway for exchanging multiple types of data among different points in the grid to consummate the advanced ideas of DDR and multi‐input multi‐output voltage control concurrently. Concepts of Lyapunov stability and linear matrix inequalities are employed to design optimisation frameworks for tuning the values of voltage controllers which, in turn, play a vital role in pooling the loads to be scheduled by the individual LS for execution. Established algorithms like earliest deadline first, least laxity first and dynamic rate priority are used to generate switching schedules for redistributed loads and achieve peak shaving. IEEE 4 bus and 14 bus models have been used to demonstrate the efficacy of the proposed framework.