Estimation of annual coincident peak demand and load curves based on statistical analysis and typical load data

The estimation of annual coincident peak demand has traditionally been performed by different empirical methods. Research shows that if the customer loads are normally distributed the total load can be computed by a method using statistical analysis and typical load cues for each class of customer. In order to use this method the different customers must be classified and typical load profiles must be measured for each of them. A method which combines typical load curves and statistical methods is described. The authors show how this method generates other important parameters which even small utilities need in network planning and for other purposes related to the situation in Norway with the new Energy Act that will promote free market trade and a common carrier principle. The method can be used both to calculate total peak demand in a total network, and for special calculations for each customer group. The users of the method will benefit when making network calculations, in power demand forecasting, tariff calculations, general least cost utility planning, and for demand side management studies