This study presents a method to determine power consumption pattern for several types of consumers in Sarawak, Malaysia. The power consumption data for consumers has been recorded using EDMI Mk.6 Genius polyphase electronic (E3) meters installed at their premises. The multistage cluster sampling is used to design the sample size to determine the sufficient amount of meters required. The data obtained from the meters has been analysed to obtain the pattern of power consumption for different types of consumers. This power consumption pattern has been applied to determine load factor, diversity factor for the calculation of After Diversity Maximum Demand (ADMD). ADMD is also used to determine the optimal amount of load, distribution transformer size and 11kV cable size. Temperature sensitivity analysis related to the demand has been investigated as well. It is found that power consumption pattern model is beneficial in finding the total electrical load, distribution transformer size and 11kV cable size needed by the consumers. Thus through this study the load characteristics had been determined to support utility operation and planning efficiently.
Due to the rapid growth of the population in Kuching area lately, the power consumption pattern, diversity factor, after diversity maximum demand (ADMD) and load factor become the critical issues to be studied and revised in details in order to improve the system planning and reduce the capital expenditure. To achieve this objective, method to determine the power consumption pattern for different class of consumers in Kuching area is proposed in this paper. The power consumption data for consumers were recorded using a specialized meters installed at their premises. The sampling theory is present in this paper to determine the sample size and the number of meters needed to be installed. The raw data obtained from these meters were analyzed to obtain the pattern of power consumption for different classes of consumers in Kuching to determine the load factor and diversity factor. Besides, the value of ADMD was calculated to verify the optimal amount of load to be supplied to the housing development area, resulting in better planning and leading to a more efficient usage of resources to generate electricity.
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