Temperature sensitivity analysis of system power profiles

This paper proposes a novel methodology to estimate the impact of temperature rise to the system power consumption. The load survey study is performed to derive the typical load patterns of the residential, commercial, and industrial customer respectively. By analyzing the relationship of customer power consumption and temperature, the temperature sensitivity of power consumption for each customer class is determined. By integrating the typical load patterns and total energy consumption, the daily power profiles and load composition of the Taipower system has been obtained. With the load compositions and temperature sensitivities of all customer classes, the hourly increase of system power loading due to temperature rise is solved. According to the study, the peak loading of the Taipower system will be increased by 585 MW or 2.4% of the system power demand for each 1/spl deg/C temperature rise. The actual Taipower system loading is used to verify the accuracy of the temperature sensitivity solved by the proposed method. It is concluded that the power increase due to temperature rise has been mainly contributed by the usage of air conditioners in the commercial and residential customers.