Defining of normalized load profile curves for domestic customer groups to estimate feeder power loss

Abstract

In a country, domestic electricity customer percentage is higher in number wise, but energy usage of one customer is lower compared to other categories. Therefore, installing a load profile recording meter for each domestic customer is not worthwhile and impractical. In this research, a methodology is proposed to estimate domestic customer load profile by using customer information to avoid the use of advanced costly energy meter. In methodology, the domestic customers were divided into several groups by clustering their daily load profiles according to differences of patterns. Representative normalized load profile is defined for each group. Same customers were interviewed for collecting family member information and electric equipment usage information. Relationships between load profile and customer information were investigated. Then a methodology was developed to estimate load profile of another new customer. These load profiles were used for calculation of low voltage feeder power loss estimation. As outcome of this research, MATLAB GUI software interface was developed to input customer information and selection of relevant load profile of a new customer depending on customer information. An algorithm is proposed to estimate hourly LV feeder power loss variation by using preestimated customer load profiles.