An Online Cooperative Control Strategy for Enhancing Microgrid Participation into Electricity Market

De Tuglie, Enrico  Elio; Cagnano, A.; Introna, A.; Montegiglio, Pasquale; Passarelli, A.

doi:10.2139/ssrn.4792943

2024

DOI: 10.2139/ssrn.4792943

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An Online Cooperative Control Strategy for Enhancing Microgrid Participation into Electricity Market

Enrico Elio De Tuglie,

A. Cagnano,

A. Introna

et al.

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2024

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Securing Bipartite Nonlinear Fractional-Order Multi-Agent Systems against False Data Injection Attacks (FDIAs) Considering Hostile Environment

Louati,

Rehman,

Imtiaz

et al. 2024

Fractal Fract

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This study investigated the stability of bipartite nonlinear fractional-order multi-agent systems (FOMASs) in the presence of false data injection attacks (FDIAs) in a hostile environment. To tackle this problem we used signed graph theory, the Razumikhin methodology, and the Lyapunov function method. The main focus of our proposed work is to provide a method of stability for FOMASs against FDIAs. The technique of Razumikhin improves the Lyapunov-based stability analysis by supporting the handling of the intricacies of fractional-order dynamics. Moreover, utilizing signed graph theory, we analyzed both hostile and cooperative interactions between agents within the MASs. We determined the system stability requirements to ensure robustness against erroneous data injections through comprehensive theoretical investigation. We present numerical examples to illustrate the robustness and efficiency of our proposed technique.

show abstract

Securing Bipartite Nonlinear Fractional-Order Multi-Agent Systems against False Data Injection Attacks (FDIAs) Considering Hostile Environment

Louati,

Rehman,

Imtiaz

et al. 2024

Fractal Fract

View full text Add to dashboard Cite

show abstract

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An Online Cooperative Control Strategy for Enhancing Microgrid Participation into Electricity Market

Cited by 1 publication

References 28 publications

Securing Bipartite Nonlinear Fractional-Order Multi-Agent Systems against False Data Injection Attacks (FDIAs) Considering Hostile Environment

Securing Bipartite Nonlinear Fractional-Order Multi-Agent Systems against False Data Injection Attacks (FDIAs) Considering Hostile Environment

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