Determination of customer load characteristics by load survey system at Taipower
Journal Article
·
· IEEE Transactions on Power Delivery
- National Sun Yat-Sen Univ., Kaohsiung (Taiwan, Province of China). Dept. of Electrical Engineering
- Taiwan Power Co., Taipei (Taiwan, Province of China). Power Research Inst.
- National Kaohsiung Inst. of Tech. (Taiwan, Province of China). Dept. of Electrical Engineering
This paper proposes the load survey system to determine the load characteristics of various customer classes in an utility company. The questionnaires are adopted to find the power consumption of key electric appliances. The actual power consumption of hundreds customers are collected by intelligent meters. The sampling theory has been applied to find the proper sample size of both questionnaires and field test so that the customer load characteristics will be derived with sufficient confidence level. The statistic analysis is then performed to find the power consumption model of each customer class based on the power measurement of field test. The temperature effect to the power consumption of each customer class is also investigated by differentiating the proposed power consumption model with respect to the ambient temperature. The proposed method has been adopted by Taipower company to better understand the customer load characteristics to support various functions of system planning and operation in a more effective manner.
- OSTI ID:
- 372231
- Report Number(s):
- CONF-950727--
- Journal Information:
- IEEE Transactions on Power Delivery, Journal Name: IEEE Transactions on Power Delivery Journal Issue: 3 Vol. 11; ISSN 0885-8977; ISSN ITPDE5
- Country of Publication:
- United States
- Language:
- English
Similar Records
An estimation of the effect of load management; The case of Taipower
The application of load models of electric appliances to distribution system analysis
Customer short term load forecasting by using ARIMA transfer function model
Journal Article
·
Thu Dec 31 23:00:00 EST 1987
· Energy Systems and Policy; (USA)
·
OSTI ID:7260507
The application of load models of electric appliances to distribution system analysis
Journal Article
·
Tue Aug 01 00:00:00 EDT 1995
· IEEE Transactions on Power Systems
·
OSTI ID:163030
Customer short term load forecasting by using ARIMA transfer function model
Conference
·
Sat Dec 30 23:00:00 EST 1995
·
OSTI ID:433836