• DocumentCode
    1545654
  • Title

    Assessment of air condition load management by load survey in Taipower

  • Author

    Hwang, J.C.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Taiwan
  • Volume
    16
  • Issue
    4
  • fYear
    2001
  • fDate
    11/1/2001 12:00:00 AM
  • Firstpage
    910
  • Lastpage
    915
  • Abstract
    This paper investigates 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 4 years. The effect of the temperature change to the customer power consumption is determined by executing the statistical polynomial regression on the load survey results. The increase of system power demand for each 1°C 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 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
  • Keywords
    air conditioning; cooling; energy management systems; load management; polynomials; power consumption; sensitivity analysis; statistical analysis; thermal energy storage; 4 y; EMS system; Taipower; Taiwan Power Company; air condition load management assessment; air conditioners; commercial customers; cooling energy storage system; customer classes; customer power consumption; direct cycling control; load change integration; load demand; load survey; power consumption; residential customers; statistical polynomial regression; system load response; temperature change; temperature sensitivity; Air conditioning; Cooling; Energy consumption; Load management; Medical services; Polynomials; Power demand; Sampling methods; Temperature distribution; Temperature sensors;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.962445
  • Filename
    962445