A Decentralized Model Predictive Control for Operation of Multiple Distributed Generators in an Islanded Mode

作者：Tavakoli Ahmad^*; Negnevitsky Michael; Muttaqi Kashem M

来源：IEEE Transactions on Industry Applications, 2017, 53(2): 1466-1475.

DOI：10.1109/TIA.2016.2616396

• Discrete-time sliding-mode control
• distributed generators (DGs)
• isolated network
• microgrid
• model predictive control (MPC)
• robust servomechanism control

The increasing penetration of distributed and renewable generation presents power systems with a challenge of accommodating multiple inverter-based generators. Distributed generators (DGs), capable of operating in the islanded mode, are often installed in microgrids. However, a control system for operating multiple DGs in the islanded mode using voltage-sourced converters is a real challenge under uncertainties in load parameters, unbalanced phase conditions, and transients. This paper proposes a novel approach to decentralized control of multiple DGs. This approach is based on a combination of a voltage controller using model predictive control and a fast current controller using a discrete-time sliding-mode controller for limiting the inverter currents under overload conditions. Performance of the proposed control system is compared with a robust servomechanism program controller. The proposed control strategy provides fast tracking, robustness, and fast transient recovery in voltage and current under: 1) short-circuit conditions; 2) load transients; and 3) unbalanced loads. Various scenarios including reference signal tracking and robustness against the load perturbations are considered. Results are presented and discussed.

• 出版日期2017-4