Peak-load shifting utilizing load factor optimization: A centralized microprocessor-based Smart Metering demonstration

Abstract

In this work, a report is given of a centralized smart metering system intended to run an algorithm designed to address the problem of peak-hour energy deficit in Zambia. A survey study conducted in Lusaka to establish household power-usage patterns led to the development of the load-management software which was implemented on the Arduino Mega microcontroller. This system automatically regulated water heating and provided energy-usage information to the consumer at peak periods. These two interventions were enough to make a significant contribution to minimising peak-power usage, an outcome that could help to reduce the incidence of load shedding.