基于混沌灰狼优化的单相并网光伏-电池储能系统双向DC-DC变换器

This paper presents a single-phase grid-integrated Photovoltaic (PV)-Battery energy storage system (BESS) controlled by a chaotic grey wolf optimized (CGWO) simplified hybrid affine projection algorithm (SH-APA). BES system is connected to DC bus via a bi-directional DC-DC converter (BDC) that regulates DC bus voltage (Vde) and BESS current (Ibat).CGWO-tuned fractional order PI (FOPI) controller in voltage control loop of BDC significantly reduces Vde deviation, eventually smoothening reference current for current control loop, ameliorating power quality, and BESS longevity. Assimilated BESS at DC bus permits system to switch between fixed (FPM) and variable power mode (VPM). In FPM, grid-tied PV-BESS delivers pre-committed power at point of intersection (POI), whereas in VPM, power balance at POI is maintained as per prevailing conditions. SH-APA-based VSC control accomplishes multiple operations, i.e., harmonics elimination, active power balancing, and reactive power requital at POI, during dynamic conditions, i.e., irradiation change, load variations and PV-DSTATCOM to DSTATCOM and vice-versa modes. Presented system operates satisfactorily as per IEEE 1547 standard.