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Vol.2 , No. 5, Publication Date: Aug. 20, 2015, Page: 51-55
 are necessary for utilities in tariffication policy. From the load curves collected in the activity time of a tariff, one representative load curve will be built. The easy way to estimate the impact of a tariff is to analyze some indicators of the RLC. The Fuzzy K-Means (FKM) is utilized in this work to determine RLCs. The compromising of the Cluster validity indexes and determining the suitable weighting exponent <i>m</i> are considered to find out the final clusters and their RLCs. The case study for one utility in the South of Vietnam is carried out to show the impacts of the current Time of Use (TOU) tariff.&picture=http://www.aascit.org/aascit/decorators/img/journal/925.jpg)
| [1] | Phan B., Department of Electrical and Electronics Engineering, HochiMinh city University of Technology, Ho Chi Minh City, Viet Nam. |
The representative load curves (RLCs) are necessary for utilities in tariffication policy. From the load curves collected in the activity time of a tariff, one representative load curve will be built. The easy way to estimate the impact of a tariff is to analyze some indicators of the RLC. The Fuzzy K-Means (FKM) is utilized in this work to determine RLCs. The compromising of the Cluster validity indexes and determining the suitable weighting exponent m are considered to find out the final clusters and their RLCs. The case study for one utility in the South of Vietnam is carried out to show the impacts of the current Time of Use (TOU) tariff.
Keywords
Cluster Analysis, Fuzzy K-Means, Representative Load Curve, TOU
Reference
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