Modelling a framework of microgrid hybrid with energy storage system (ess) - reduce maximum demand in Universiti Malaysia Sabah

• Main Author: Nur Aina Alwani Mohamad
• Format: Academic Exercise
• Language: English; English
• Published: 2022
• Subjects: TK1-9971 Electrical engineering. Electronics. Nuclear engineering
• Online Access: https://eprints.ums.edu.my/id/eprint/34328/1/24pages.pdf; https://eprints.ums.edu.my/id/eprint/34328/2/FULLTEXT.pdf; https://eprints.ums.edu.my/id/eprint/34328/

In theory, a microgrid system generates electricity by utilizing renewable energy sources such as solar, wind, and biomass through distribution energy resources such as photovoltaic panels, wind turbines, and biomass gasifiers and supplying it to the load requirements of a specific group of consumers. Nowadays, Malaysia is one of the countries with a vast number of renewable energy sources derived from its geographical location, giving Malaysia a good potential to put the system in place in the country to replace nonrenewable energy sources such as fuel and coal, which are nearing the end of their useful life. As a result of the implementation, the nation and its citizens will reap significant benefits. Modeling a Framework of Hybrid Microgrid with Energy Storage System (ESS) - Reduce Maximum Demand at University Malaysia Sabah was carried out at the Faculty of Medicine and Health Science (FPSK). Initially, the simulation of a hybrid system includes the solar sources which include photovoltaic panels, then the addition of wind resources to examine the performance of the system, which include photovoltaic panels and wind generic turbines. Data such as electricity usage for the entire faculty, as well as the type of panel, turbine, and generator, was collected and studied. Several simulations were run in HOMER Pro software to determine the feasible model setup of the hybrid system. This project aims to produce a configuration that can meet the faculty's electricity usage; hence, technical and financial analyses were performed to determine the most optimal and best fit of the configuration that is consistent with the faculty's electrical consumption situation. Furthermore, this project aims to reduce the maximum demand faced by the faculty because this demand will incur additional costs for university management; thus, the analysis in terms of maximum demand obtained by the chosen modelling configuration is made to determine whether it can or cannot reduce the demand for the entire faculty.