Abstract
This paper is to investigate the potential of air conditioning load management by solving the temperature sensitivity of load demand for various customer classes. The load survey system has been applied to record the power consumption of sampling customers in Taiwan Power Company (Taipower) for four years. The effect of the temperature change to the customer power consumption is determined by executing the statistic polynomial regression on the load survey results. The increase of system power demand for each 1 ? temperature rise is then derived by integrating the load change of all customer classes. To verify the accuracy of the simulation, the actual system power demand collected by the Taipower EMS system is applied to find the system load response to the temperature change. It is found that the proposed methodology does provide an effective tool for the utility company to identify the customer classes with good potential for air conditioner load management. Based on this study, the load management programs of cooling energy storage system and direct cycling control of air conditioners (A/C) are promoted by Taipower for the commercial and residential customers, respectively.
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