1 AIT Asian Institute of Technology

Analysis of a hybrid renewable microgrid system for Nainativu Island, Sri Lanka

AuthorWijayawardena, Masingha Kavinda Randima
Call NumberAIT RSPR no.ET-18-01
Subject(s)Microgrids (Smart power grids)--Sri Lanka--Nainativu Island
Hybrid power systems--Sri Lanka--Nainativu Island
Renewable energy sources--Sri Lanka--Nainativu Island

NoteA research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy
PublisherAsian Institute of Technology
Series Statement
AbstractSri Lankan government had an aim to achieve 100% household electrification by end of year 2012. 99% of the population (households) has been already served with grid-based electrification, but surpassing that percentage using same technologies, is quite difficult. Remaining 1 % of the households require off-grid technologies for electrification while mainly depending on the renewable based technologies, namely solar photovoltaic, wind, biomass and micro hydro. Employment of renewable based off-grid technologies is typically constrained by the seasonal variations of the resource. This issue can be resolved by coupling renewable based power generation technologies with a biomass generation to build a hybrid power system. Given the relatively higher investment cost, designing and optimizing a hybrid power plant have to be carried out cautiously to produce electricity at competitive prices. Eluvaitivu, Analaitivu, Nainativu and Delft Islands are isolated islands situated in the Northern part of Sri Lanka, viz. Jaffua Peninsula. The islets are far away from mainland. At the moment, diesel generators are serving the households in these islets for a limited number of hours (a very few islands have round the clock power supply). Electrification rate of these islands are extremely low, because of the Grid limitations. The main objective of the research is to turn up with four different off-grid Hybrid Power systems (including the existing system) and provide reliable, cost effective power supply to the occupants on Nainativu Island, an isolated island, situated in northern region of Sri Lanka and by doing so enable the 100% electrification target set earlier by the Govt. of Sri Lanka. Lankan government failed to achieve this by the end of 2012 as it was planned initially. The research study focuses on modeling the existing off-grid power system (Standalone Diesel Generator system) and three optional cost effective off-grid hybrid system configurations (DiesellBiomass, Battery/Solar/Biomass, and Battery/Solar/Diesel) to achieve 100% electrification of the island, while maintaining a 24 hour continuous electricity supply to the consumers. Status of the current system and load data of Nainativu Island have been collected from the local distribution company, CEB. Simulations of all modeled systems are performed on HOMER to obtain the results, and sensitivity analysis is conducted on the three HOMER files corresponding to the three respective alternate systems following the simulations. Based on the simulation results procured; TNPC Analysis is subsequently conducted for the three alternate systems in terms of the respective sensitivity variables chosen for each system. Optimal Capacity Variation Analysis is also conducted for only two systems, namely, Battery/Solar/Biomass and Battery/Solar/Diesel. For every analysis, the optimal configurations (most economical combinations of technologies) with the lowest TNPC and lowest CaE are picked from optimization simulation results.
Year2018
Corresponding Series Added Entry
TypeResearch Study Project Report (RSPR)
SchoolSchool of Environment, Resources, and Development (SERD)
DepartmentDepartment of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC))
Academic Program/FoSEnergy Technology (ET)
Chairperson(s)Weerakorn Ongsakul
Examination Committee(s)Singh, Jai Govind;Dhakal, Shobhakar
Scholarship Donor(s)Asian Institute of Technology Fellowship
DegreeResearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 2018


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