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Cooperative secondary voltage control of static converters in a microgrid using model-free reinforcement learning

Conference Paper


Abstract


  • Agent-based secondary voltage regulation in an islanded MicroGrid is complicated by non-linear system dynamics, state couplings and uncertain communication network topology information. This paper proposes an off-policy learning algorithm for cooperative secondary voltage control which can synthesize an optimal feedback controller in real-time without knowledge of the system model. A simulation model has been developed using MATLAB/Simulink, which demonstrates a working controller. Results from the simulations are included, and practical considerations regarding implementation on a real system discussed.

Publication Date


  • 2019

Citation


  • E. Smith, D. A. Robinson & A. Agalgaonkar, "Cooperative secondary voltage control of static converters in a microgrid using model-free reinforcement learning," in EPE’19 ECCE Europe, 2019, pp. 1-10.

Start Page


  • 1

End Page


  • 10

Place Of Publication


  • United States

Abstract


  • Agent-based secondary voltage regulation in an islanded MicroGrid is complicated by non-linear system dynamics, state couplings and uncertain communication network topology information. This paper proposes an off-policy learning algorithm for cooperative secondary voltage control which can synthesize an optimal feedback controller in real-time without knowledge of the system model. A simulation model has been developed using MATLAB/Simulink, which demonstrates a working controller. Results from the simulations are included, and practical considerations regarding implementation on a real system discussed.

Publication Date


  • 2019

Citation


  • E. Smith, D. A. Robinson & A. Agalgaonkar, "Cooperative secondary voltage control of static converters in a microgrid using model-free reinforcement learning," in EPE’19 ECCE Europe, 2019, pp. 1-10.

Start Page


  • 1

End Page


  • 10

Place Of Publication


  • United States