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This paper presents a method of generating realisticelectricity load profile data for the UK domestic buildings. Thedomestic space features have been investigated excluding theheating and hot water systems. A questionnaire survey wasconducted and the feedback were collected from a number ofoccupants at different intervals of times on daily bases in orderto establish the probabilistic record of the estimated use ofelectrical appliances. The model concept of this study alsoconsiders the results of previous investigations such as thatavailable in public reports and statistics as input data elementsto predict the global domestic energy consumption. In addition,the daily load profile from individual dwelling to community canbe predicted using this method. The result of the present methodwas compared to available published data and has shownreasonable agreement.
Energy --- Energy Consumption --- Electrical Appliances --- Electrical Load Profiles
Voltage instability problems in power system is animportant issue that should be taken into consideration duringthe planning and operation stages of modern power systemnetworks. The system operators always need to know when andwhere the voltage stability problem can occur in order to applysuitable action to avoid unexpected results. In this paper, a studyhas been conducted to identify the weakest bus in the powersystem based on multi-variable control, modal analysis, andSingular Value Decomposition (SVD) techniques for both staticand dynamic voltage stability analysis. A typical IEEE 3-machine, 9-bus test power system is used to validate thesetechniques, for which the test results are presented anddiscussed
Voltage stability --- multi-variable control --- modal analysis --- singular value decomposition --- power system dynamics
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2011 (2)