Reliability of different building microgrids

• Main Author: Meng, Zihao
• Other Authors: Wang Peng
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/161556
• Institution: Nanyang Technological University

With the implementation of the concept of smart microgrid and the increasing maturity of renewable energy and distributed generation technologies, how to use electricity more efficiently and environmentally friendly has become the focus of attention. Residential and commercial buildings consume 32% of total global energy, and when upstream indirect emissions are considered, they account for about 30% of total end-use energy-related CO2 emissions. Therefore, how to improve the efficiency of energy use in buildings and achieve the goal of nearly zero energy buildings (nZEB) has become a priority. In addition to the common electrical loads and traditional fossil energy generating units, renewable energy sources, mainly photovoltaic power, are now installed in building microgrids. Also, with the rise of electric vehicles, energy storage systems have become an integral part of building microgrids. In addition to electrical energy, thermal energy cycles are often considered in the energy cycle of building microgrids due to the presence of air conditioning, heating and other temperature regulating devices in the building. However, because of the complex topology of building microgrids, which usually have both DC and AC components, as well as the variety of load types and the unpredictability of their power consumption behavior, coupled with the uncertainty of renewable energy, how to ensure the reliability of building microgrids has become a critical issue. In this dissertation, the impact of renewable energy and energy storage system on the reliability of building microgrid is analyzed by building a model of building microgrid containing renewable energy and energy storage system which is simulated using the Monte Carlo simulation method.