Generation of domestic hot water, space heating and driving pattern profiles for integration analysis of active loads in low voltage grids

The changes in the Danish energy sector, consequence of political agreements, are expected to have direct impact in the actual power distribution systems. Large number of electric boiler, heat pumps and electric vehicles are planned and will cope large percentage of the future power consumption at household level. Despite of the well-known flexible service that this kind of loads can provide, their flexibility is highly dependent of the domestic hot water and space heating demand and the driving habits of each user. This paper presents two methodologies employed to randomly generate thermal power demand and electric vehicle driving profiles, to be used for power grid calculations. The generated thermal profiles relied on a statistical analysis made from real domestic hot water and space heating data from 25 households of a typical Danish residential area. The driving profiles instead were formed based on conclusions derived from previous analysis on Danish driving patterns and the driving cycles extracted from the European project ARTEMIS. The obtained random profiles will allow electrical networks in Denmark to be analyzed while maintaining the probability of the original data set.