Modeling,simulation and energy management of solar PV-based Microgrinds using real-time residential data

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dc.contributor.supervisor Ravi, Samikannu Seane, Tumelo Boitshoko 2022-12-13T14:05:29Z 2022-12-13T14:05:29Z 2022-08-18
dc.description Thesis(MEng Mechanical and Energy --Botswana International University of Science and Technology,2022 en_US
dc.description.abstract The research aims at defining and analyzing an energy solution that incorporates renewable energy, thereby giving rise to improving energy security and providing grid stability for the grid networks located in urban residential areas. The urbanization growth in Botswana coincides with the increase in electricity consumption. The electricity load demand in the country outlasts the local supply and thereby the need for importing electricity from the Southern Africa Power Pool (SAPP). To address grid stability and reliable power supply issues, the research aims to design a microgrid system for an urban settlement by matching the electric load demand with solar photovoltaic (PV) generation in a residential district. The initial stages of the research include measuring electrical loads in a single household for a certain period. The energy data collected from residential homes were subjected to a smart metering examination. The analysis revealed high variability in the daily energy usage of the household. The dataset was tabulated through the two seasons experienced in Botswana, summer, and winter. Following a study using clustering techniques, three clusters with outliers’ data identified the optimum monthly energy use with the lowest Mean Squared Error (MSE) after ten iterations. The peak hourly profiles from the metered residential household were used to represent a cumulative 250-kW planned power solar PV microgrid system. The design and simulation were conducted on the simulation environment MATLAB/Simulink with real-time daily irradiation and temperature profiles from the metered household location. Proportional Integral Derivative (PID) controllers could achieve a desired DC microgrid voltage throughout the day. The boost converter through a signal from the Maximal Power Point Tracking (MPPT) could achieve the maximum voltage of the solar PV module. For energy management optimization, Fuzzy Logic Control (FLC) was incorporated for the grid-connected microgrid with battery support. The FLC simulation analysis demonstrated that the battery offered energy stability inside the microgrid system during the shift from island mode to a grid-connected mode of operation. The economic study was conducted in HOMERPro, and it revealed the levelized cost of electricity at USD 10.90/ kWh. The nature of the solar PV microgrid design revealed the system's lifetime cost savings worth USD 99,248.6. A microgrid system is a subpart of a smart grid; thus, the proposed system aids in achieving the quick restoration of electricity when a power outage occurs while also enhancing local energy resiliency. en_US
dc.description.sponsorship Botswana International University of Science and Technology en_US
dc.language.iso en en_US
dc.subject Renewable energy en_US
dc.subject Microgrid system en_US
dc.subject Solar photovoltaic en_US
dc.title Modeling,simulation and energy management of solar PV-based Microgrinds using real-time residential data en_US
dc.description.level meng en_US
dc.description.accessibility restricted en_US
dc.description.department mie en_US

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