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.
This paper described the estimation of optimum load and thermal response for the Oilnatural Air-natural (ONAN) cooling type power transformer with installed load capacity of 30MVA in Sarawak, Malaysia. The estimation optimum load capacity is based on the nameplate rating, standard design of the existing transformer and factory acceptance test report (FAT). This involved loss of life and transformer thermal response such as hotspot temperature, top-oil temperature, winding temperature and ambient temperature. By using the existing cyclic load of this transformer, the risk condition of the transformer could be prevented since capacity load could be estimated. The algorithms of this project were based on IEEE standard and IEC loading guide for oil-immersed power transformer.
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