Decentralized constrained optimal control of the multimachine power system stability improvement

Abstract

This paper proposes a decentralized constrained optimal control of the multimachine power system stability. Today’s power networks operate closer to their maximum limits. Alternative Current power grids are more vulnerable and subject to instability than ever before. A three machine power system and four machines, power system connected with a lossy transmission line, is investigated. The linearized dynamical equations of the multimachine power system are obtained near to an equilibrium point, and it can be stabilized by using a decentralized constrained controller based on optimal control. The feedback controller, which comprises independent control stations, receives the measurement data and influences the control input of the machine attached to it the subsystems. State feedback controller guarantees that the closed-loop system is stable and can guarantee the performance index. The designed controlled systems are based on the Algebraic Riccati Equations, and all its poles are in the closed left half-plane. Decentralized constrained optimal control of the multimachine power system is achieved through simulation results. The following results are proposed by improving power system stability.