Decentralized Optimal Control for Photovoltaic Systems Using Prediction in the Distribution Systems

The high penetration of photovoltaic (PV) systems and fast communications networks increase the potential for PV inverters to support stability performance microgrids. in distribution network can work cooperatively follow centralized decentralized control commands optimize energy production while meeting grid code requirements. However, there are older autonomous that have already been installed will operate same as smart controllable ones. This paper proposes a optimal (DOC) performs multi-objective optimization group existing residential loads inverters. interaction independent DOC groups is considered. limit inverter power factor included control. done by flow calculation an autoregression prediction model estimating maximum point loads. Overvoltage caused errors resulting non-optimal from avoided switching droop (ADC). ADC at different time scales take account communication delays between controller. simulation scenarios has proved effectiveness strategies.