EVALUATION OF SMART MICROGRID TO INCREASE ELECTRICITY SUPPLY AVAILABILITY AND RENEWABLE FRACTION AT THE UNIVERSITY BUILDING

Smart microgrid system is an interconnected local generation and load generation system, equipped with monitoring and control to achieve load management needs, optimize efficiency, minimize costs, and maximize electricity supply. It usually consists of renewable energy generators, battery systems, e...

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Bibliographic Details
Main Author: Kusumayudha, Hanafi
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/56763
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:Smart microgrid system is an interconnected local generation and load generation system, equipped with monitoring and control to achieve load management needs, optimize efficiency, minimize costs, and maximize electricity supply. It usually consists of renewable energy generators, battery systems, electricity loads and the PLN grid, where the system can operate independently (islanded-mode) or be connected to a central power grid (grid connected-mode). This mode of operation can affect the distribution of electricity at the system, so the mechanism needs to be accurately investigated and evaluated in order to aim an optimal system. This research aims to evaluate the performance of smart microgrids to increase the availability of electricity supply and renewable fraction by conducting energy analysis (simulation of energy production and consumption) and economic analysis in testing the reliability and resiliency of electricity supply. The simulations are divided into three scenarios, such as the basic scenario, the test scenarios, and the recommendation scenario. The test scenarios consists of system capacity test, component replacement, and sensitivity analysis. The results of the basic scenario simulation show that the availability of electricity supply for the 2019 blackout profile is fulfilled, with a renewable fraction (RF) of 30,5%; the cost of energy (CoE) Rp2.019/kWh; and battery autonomy (BA) of 11,1 hours. From the analysis of test scenario result, several recommendations will be implemented, namely replacing battery components and photovoltaic modules, adding battery capacity, and setting the SoC limits on the battery to increase the renewable fraction. The results of the recommendation scenario simulation show that it is succeeded in increasing the availability of electricity supply and reaching the target with a BA value of 37 hours and an RF value of 46,4% at the start of the project cycle period; and BA of 25,5 hours and RF of 29,1% at the end of the project cycle period, with an economic value CoE of Rp6,448/kWh.