Electricity demand in households resulting from unpredictable consumption pattern has been serious
concerns in Nigerian power industry. Existing metering systems have not addressed the various
challenges of enabling daily tracking of power usage patterns in homes. This work presents collocation
Cost Control Smart Metering System (CCSMS) for monitoring electricity consumption. The main
limitation of existing traditional meters is that they do not provide sufficient real time information to the
consumers. In this work, a collocation cost control model using a smart metering system that helps
consumers to understand their instantaneous consumption profile was developed which will facilitate
demand side response in consumers’ homes. Proteus ISIS logic was employed to characterize the
behaviour of the system, while fuzzy logic intelligent algorithm was used to provide a mechanism for the
metering intelligence using the process variables (current, voltage, load demand and recharge units).
The cases for compact and non-compact responses on the cost and average power consumed were
demonstrated. The results showed flattening consumption costs for corresponding average power
consumed in an hourly scale. From the study, it was observed that for non-compact distribution, over
2500kwh of power was lost, while for compact distribution, the power loss was minimal (less than 100-
150kwh). Consequently, this work established the need for using a collocation CCSMS in monitoring
power consumption data in various households and interpretation of the data for hourly measurement.
This has the implication of assisting home users to practically enforce demand side management thereby
encouraging cost saving.
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