A networked hierarchical control scheme for wide‐area systems: A power system application

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 frame...

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Bibliographic Details
Published inAsian journal of control Vol. 22; no. 6; pp. 2500 - 2512
Main Authors Khayyer, Morteza, Farsangi, Malihe Maghfoori, Bijami, Ehsan
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc 01.11.2020
Subjects
Control methods
Control systems design
Controllers
Damping
Electric power distribution
Geographical distribution
hierarchical control
Mathematical models
networked control
Oscillations
power system stability
Predictive control
predictive sliding mode
Robust control
Sliding mode control
Sparse matrices
Subsystems
wide area system
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ISSN1561-8625
1934-6093
DOI10.1002/asjc.2221

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Summary: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.
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ISSN:1561-8625
1934-6093
DOI:10.1002/asjc.2221