Robust optimal centralized controller to mitigate the small signal instability in an islanded inverter based microgrid with active and passive loads

• Published in: International journal of electrical power & energy systems Vol. 90; pp. 225 - 236
• Main Authors: Raju P, E.S.N., Jain, Trapti
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2017
• Subjects: Inverter-based microgrid; Linear quadratic regulator with prescribed degree-of-stability; Non-dominated sorting genetic algorithm; Robust optimal centralized controller; Small-signal stability; Small-signal stability; Inverter-based microgrid; Linear quadratic regulator with prescribed degree-of-stability; Non-dominated sorting genetic algorithm; Robust optimal centralized controller
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2017.02.011

•Stability of an islanded inverter based microgrid with active and passive loads.•Robust optimal centralized controller with Kalman estimator.•Robust optimal centralized controller based on LQRPDS.•A fast and elitist multi-objective non-dominated sorting genetic algorithm (NSGA-II).•Eigenvalue analysis and time-domain simulations. This paper proposes a robust optimal centralized controller to mitigate the small signal instability caused by the interaction between the control loops of rectifier interfaced active loads (RIALs) and the inverter interfaced distributed generations. The proposed controller is based on a robust linear quadratic regulator with prescribed degree-of-stability (LQRPDS). In order to reduce communication system burden and improve the flexibility and reliability of the proposed controller, a kalman state estimator has been designed. The optimal values of the diagonal weighting matrices of LQRPDS and kalman estimator are obtained by formulating a bi-objective optimization problem, which is solved using a fast and elitist multi-objective non-dominated sorting genetic algorithm (NSGA-II). A full dynamical linearized state space model of an islanded MG represented in synchronous (DQ) reference frame has been considered for analyzing the stability. However, schur balanced model order reduction technique has been used to reduce the complexity in the design of the controller. Eigenvalue analysis and time-domain simulations have been presented to demonstrate the robust performance of the controller under various load configurations as well as under step load disturbances. The efficacy of the proposed centralized controller is verified by comparing its performance with that of LQR based centralized controller.