Synthesis of power system load profiles by class load study

This paper proposes a methodology for the synthesis of power system load profiles by class load study. There are more than 900 customers over various customer classes are selected by the sampling design for the installation of intelligent meters over six districts in Taipower system. The load data of all the test customers have been collected and the typical load patterns of customer classes have been derived for each service district. The billing data of all the customers in the Taipower customer information system (CIS) are retrieved and the typical load patterns derived are applied to solve the hourly load composition of all customer classes. The actual power consumption in each study district, which has been recorded by the Taipower distribution dispatch control system (DDCS), is used to verify the accuracy of the power profiles derived. By the same way, the power profiles of Taipower system are then synthesized too. It is concluded that the system power profile can be estimated by the aggregation of class load patterns in a rather precise manner.