Publication: An Analysis Of Time-Of-Use Period for Residential Customer In Peninsular Malaysia Using K-Means Clustering Technique
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Date
2020-02
Authors
Muhammad Syazwan Bin Zawawi
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Abstract
Time-of-Use (TOU) is one of the programs or the initiatives from Demand Response
Program. It is the program to encourage the customers either industrial, commercial or
residential to control the electricity usage throughout their daily routine. One of it’s
advantage is the customers should be able to reduce the electricity monthly bill by
reducing the energy usage during Peak Period. This is due to the rate of electricity
during Peak Period is expensive compared to Off-Peak Period. In this research, an
analysis of TOU Period were done. The analysis were done only for residential
customers in Peninsular Malaysia. Industrial and Commercial customers in Peninsular
Malaysia were already implemented this TOU scheme. Main objective in this research
is to segregate the TOU Period into two parts which are Peak Period and Off-Peak
Period using K-Means Clustering technique. Other than that, Jenks Natural Breaks
were also used to compare the segregation results between these two clustering
technique. Both method were implemented in MATLAB. In this research, six (6)
actual residential customers load profile were used to segregate the TOU Period.
Other than that, 100 and 1000 randomly generated residential customers load profile
also were used in determining the impact of Time-Of-Use scheme towards residential
customers. There are total of eight (8) case studies that were discussed regarding the
performance of TOU compared to conventional Inclining Block Tariff (IBT) that
already implemented in Peninsular Malaysia. Among all case studies, four (4) of them
are using K-Means Clustering in determining TOU Period and the other four (4) are
using Jenks Natural Breaks. For K-Means Clustering, Peak Period start from 7.30am
until 7.00pm for weekdays while for weekends start from 3.30am until 8.00pm. For
Jenks Natural Breaks, Peak Period for weekdays start from 7.00am until 6.00pm and
for weekends start from 4.00am until 7.30pm. From the case studies, it shows that the
TOU Period segregation using Jenks Natural Breaks could provide more benefits
towards residential customers compared to K-Means Clustering technique.
Description
FYP 2 SEM 2 2019/2020
Keywords
Time-Of-Use Period