Design of a Partially Grid-Connected Photovoltaic Microgrid Using IoT Technology

Abstract

This study describes the design and control algorithms of an IoT-connected photovoltaic microgrid operating in a partially grid-connected mode. The proposed architecture and control design aim to connect or disconnect non-critical loads between the microgrid and utility grid. Different components of the microgrid, such as photovoltaic arrays, energy storage elements, inverters, solid-state transfer switches, smart-meters, and communication networks were modeled and simulated. The communication between smart meters and the microgrid controller is designed using LoRa communication protocol for the control and monitoring of loads in residential buildings. An IoT-enabled smart meter has been designed using ZigBee communication protocol to evaluate data transmission requirements in the microgrid. The loads were managed by a proposed under-voltage load-shedding algorithm that selects suitable loads to be disconnected from the microgrid and transferred to the utility grid. The simulation results showed that the duty cycle of LoRa and its bit rate can handle the communication requirements in the proposed PV microgrid architecture.

Design of a Smart Distribution Panelboard Using IoT Connectivity and Machine Learning Techniques

“…Future features of the plug system include monitoring RMS current value, real power, phase angle between current and voltage, in addition to the reactive power. The ZigBee and LoRa communication protocols are used to interact with the smart meter devices in a partially grid-connected photovoltaic microgrid, as presented in our previous works [24,25]. Olakanmi et al [26] introduced an autonomous residential smart distribution system for low-cost energy management in industries, educational institutions, and other utilities in conventional electrical networks.…”