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ADP-Based Decentralized Load Frequency Control Schemes to Multiarea Asynchronous Markov Jumping Power Systems With
IEEE Transactions on Cybernetics
|August 26, 2024
Summary
This study presents a robust decentralized load frequency control (LFC) for power systems facing disturbances. An adaptive dynamic programming algorithm ensures system stability and effective disturbance rejection.
Area of Science:
- Power Systems Engineering
- Control Theory
- Artificial Intelligence
Background:
- Decentralized load frequency control (LFC) is crucial for stable multiarea power systems.
- Systems face challenges from external disturbances and stochastic variations like component failures and load changes.
Purpose of the Study:
- To develop a robust decentralized LFC strategy for multiarea power systems.
- To address nonlinear coupling issues in solving game algebraic Riccati equations (Game AREs).
- To design a controller for systems with Markov jumping parameters.
Main Methods:
- Markov superposition technique to model system component matrices.
- An improved online adaptive dynamic programming (ADP) algorithm with experience replay technique (ERT).
- Solving zero-sum differential game problems without prior knowledge of system dynamics.
Main Results:
- The ADP algorithm effectively solves nonlinear coupling difficulties in Game AREs.
- The method obtains minimum LFC and maximum disturbance policies.
- A safer LFC controller for Markov jumping parameter systems was designed and validated.
Conclusions:
- The proposed ADP algorithm demonstrates stability and convergence.
- The developed LFC method is effective for multiarea power systems with disturbances.
- Simulation results confirm the practical applicability and performance of the proposed design.
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