A model predictive control strategy based on energy storage grid‐connected quasi‐z‐source inverters

Abstract

The battery energy stored quasi‐Z‐source (BES‐qZS) based photovoltaic (PV) power generation system combines advantages of the qZS inverter and the battery energy storage (BES) system. To realize multi‐objective cooperative control, a model predictive control (MPC) strategy for the PV grid‐connected system based on an energy‐storage quasi‐Z source inverter (ES‐qZSI) is proposed. The energy storage battery is added to the traditional quasi‐Z source inverter (qZSI). The MPC strategy is adopted to realize maximum power point tracking (MPPT), battery, and point of common coupling (PCC) tripartite energy control in a single‐stage conversion system. The discrete‐time model of ES‐qZSI is derived, and the cost function was constructed by using the system state variables. The PV power MPPT module, the battery power management module, and the PCC power module are designed to generate the reference signal of the prediction function. Finally, the proposed algorithm was validated by simulation. The theoretical analysis and simulation results were consistent.

Variable weight coefficient MPC control strategy for qZSI‐VSG wind power grid‐connected system

“…An improved MPC method without weighting variables for the ES-qZSI system was put out in [10]. When an ES system is introduced to a qZSI circuit, the complexity of system operation and analysis increases [11,12]. In [13], a control scheme that combines a PWM linear control strategy and a strategy based on FCS-MPC is proposed, increase the complexity of the controller design, requiring PWM generators inevitably.…”