Robust Load Frequency Control for Uncertainties Multi-Area Power Systems With Couplings of Systems Dynamics and Reconfigurable Communication Networks

This article focuses on the challenging problems for robust load frequency control (RLFC) in multi-area power systems considering unknown parameter uncertainties in both LFC operation conditions of nominal power systems and coupling inputs under reconfigurable communication networks. A class of coupled smart grids is modeled in which the process dynamics are composed of time-varying vector functions of scalar combinations of the states and communication networks that are not interconnected. In part I, the networks can be any connected static configuration but not dynamically changing network configurations. To overcome these issues, a distributed RLFC strategy is developed that uses a configurable communication network. This strategy can handle the system coupling dynamics and obtain global asymptotic stability for multi-area power systems with multiple aggregated uncertainties. Furthermore, a distributed adaptive RLFC protocol is proposed to schedule the control gains and time-varying adaptive coupling dynamics for the multi-area power systems with aggregated system uncertainties consisting of aggregated parameter uncertainties, coexisting matched, and mismatched parameter uncertainties that can be unknown. The proposed strategies are verified through the modeling of a three-area power system with configurable communication networks. The results show that the proposed methods are efficient. Specifically, for the case of unknown coexisting matched and mismatched parameter uncertainties, the LFC of closed-loop power systems is asymptotic stability without relying on any bounded-state set.

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Publication Details

Journal
IEEE Transactions on Power Systems
Published
2024-09-03
DOI
https://doi.org/10.1109/tpwrs.2024.3453945
Citations
10
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
2.09
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article

Robust Load Frequency Control for Uncertainties Multi-Area Power Systems With Couplings of Systems Dynamics and Reconfigurable Communication Networks

Bohui Wang, Zhanbo Xu, Xiaohong Guan
10 citations
IEEE Transactions on Power Systems
Frequency Control in Power Systems
2.09
article

Robust Load Frequency Control for Uncertainties Multi-Area Power Systems With Couplings of Systems Dynamics and Reconfigurable Communication Networks

Bohui Wang, Zhanbo Xu, Xiaohong Guan
article en
10 citations

Abstract

This article focuses on the challenging problems for robust load frequency control (RLFC) in multi-area power systems considering unknown parameter uncertainties in both LFC operation conditions of nominal power systems and coupling inputs under reconfigurable communication networks. A class of coupled smart grids is modeled in which the process dynamics are composed of time-varying vector functions of scalar combinations of the states and communication networks that are not interconnected. In part I, the networks can be any connected static configuration but not dynamically changing network configurations. To overcome these issues, a distributed RLFC strategy is developed that uses a configurable communication network. This strategy can handle the system coupling dynamics and obtain global asymptotic stability for multi-area power systems with multiple aggregated uncertainties. Furthermore, a distributed adaptive RLFC protocol is proposed to schedule the control gains and time-varying adaptive coupling dynamics for the multi-area power systems with aggregated system uncertainties consisting of aggregated parameter uncertainties, coexisting matched, and mismatched parameter uncertainties that can be unknown. The proposed strategies are verified through the modeling of a three-area power system with configurable communication networks. The results show that the proposed methods are efficient. Specifically, for the case of unknown coexisting matched and mismatched parameter uncertainties, the LFC of closed-loop power systems is asymptotic stability without relying on any bounded-state set.

IEEE Transactions on Power SystemsVol. 40(3)
Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 13%
Frequency Control in Power Systems
2.09
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