Synthetic domestic electricity demand in thailand using a modified high-resolution modeling tool by crest

Abstract

A residential electricity demand profile is one of the key means of investigating the impact of high penetration in low carbon technologies (such as photovoltaic systems and electric vehicles) on distribution networks. However, it is difficult to identify the true daily electricity consumption of Thai households, due to the lack of routine monitoring on real-time demand. Furthermore, residential electricity consumption is normally recorded on a monthly, low time resolution basis. In this paper, the CREST demand model is employed to simulate high-resolution domestic electricity demand in Thailand, without installing new monitoring devices and avoiding customer interruption. This is achieved through a stochastic process which is a combination of patterns of active occupancy, outdoor ambient lighting characteristics, and daily activity profiles. Since the model is based on time use survey data from the UK, outdoor irradiance and appliance configuration are adapted to fit the Thailand case study. In order to verify the model, the synthetic load profiles of the CREST demand model are compared against the measured data from the actual monitoring of a real low voltage network in Thailand. The application of the high-resolution CREST model shows promising results for the simulation of domestic electricity demand profiles in Thailand.