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A networked hierarchical control scheme for wide‐area systems: A power system application
Author(s) -
Khayyer Morteza,
Farsangi Malihe Maghfoori,
Bijami Ehsan
Publication year - 2020
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2221
Subject(s) - networked control system , network packet , electric power system , control theory (sociology) , controller (irrigation) , model predictive control , computer science , control engineering , telecommunications network , latency (audio) , mode (computer interface) , power (physics) , engineering , control (management) , artificial intelligence , computer network , telecommunications , physics , quantum mechanics , agronomy , biology , operating system
This paper presents a new networked hierarchical predictive sliding mode controller for the design of stabilizing signals to damp low frequency oscillations observed in geographically distributed networked power systems subject to communication network constraints. Firstly, through the generic framework of networked systems, a networked model is used for a distributed networked system in which network delays and data packet loss are considered in a wide area measurement system (WAMS). Then a hierarchical predictive sliding mode controller with robust reaching law is proposed to compensate the influence of WAMS communication latency and damp the inter‐area oscillations. For this, firstly, the overall system is decomposed into small subsystems with non‐sparse matrices and lower order; then a new suitable predictive sliding mode controller is designed to provide optimal performance. Furthermore, in order to coordinate the entire system, the gradient of interaction errors is used. The effectiveness of the proposed control framework is illustrated through numerical simulations on a 5‐area, 16‐machine power system with several interconnected areas. Simulation results show the capability of the proposed approach to enhance the networked power systems' damping in comparison with a conventional networked control method.