Ahmad , Arfah and Ahmad, Suziana and Wan Abdul razak, Intan Azmira and Anwar Apandi, Nur Ilyana (2012) Modelling Daily Load Profiles In The Utility Of Malaysia. In: The National Conference on Electrical and Electronics Engineering (NCEEE 2012) , 8-9 Mei 2012, The Katerina Hotel, Batu Pahat, Johor. (Submitted)
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MODELLING DAILY LOAD PROFILES IN THE UTILITY OF MALAYSIA-ARFAH AHMAD-MAK 00605 RAF.pdf Download (4MB) |
Abstract
This paper presents a statistical framework for the modelling of daily load profiles. Data of short term load profiles in the utility of Malaysia with the reading recorded every half an hour was used for this study. The daily plot and analysis of average maximum demand and minimum demand was done in order to choose the best statistical distribution to be fit this data. Analysis shows that the average maximum load, minimum load and average load consumption are vary for every seven days. The frequency distribution plots of the data reveal different pattern for different days. Based on these, the normal distribution, log-normal distribution and Weibull distribution was fit to the data. Maximum likelihood method was used to estimate parameters in these distributions. The assessments of the best distribution are by using numerical method, namely the mean square error (MSE) and normal absolute error (NAE). Result shows that the load consumption for each seven day can be model using different statistical distributions. Hence results from this study can be used to forecast the daily load consumption using confidence interval method.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Spatial analysis (Statistics), Electric power systems |
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Electrical Engineering > Department of Mechatronics Engineering |
| Depositing User: | Users 4097 not found. |
| Date Deposited: | 14 Dec 2017 08:11 |
| Last Modified: | 14 Dec 2017 08:11 |
| URI: | http://eprints.utem.edu.my/id/eprint/20149 |
| Statistic Details: | View Download Statistic |
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