Integration of Renewable Energy Sources for Low Emission Microgrids in Canadian Remote Communities
Enrique Gabriel Vera, Claudio Canizares, Mehrdad Pirnia

TL;DR
This paper presents an optimization model for planning renewable energy and storage integration in Canadian remote community microgrids, demonstrating cost and emission reductions through wind, solar, and advanced storage technologies.
Contribution
It introduces a novel long-term planning model incorporating lithium-ion batteries and hydrogen systems for remote community microgrids in Canada.
Findings
Wind, solar, and storage technologies can meet community energy needs effectively.
Integration of RESs significantly reduces costs and greenhouse gas emissions.
The model provides insights for sustainable energy policies in remote communities.
Abstract
In recent years, the electrification of Canadian Remote Communities (RCs) has received significant attention, as their current electric energy systems are not only expensive, but are also highly polluting due to the prevalence of diesel generators. In addition, RCs' inherent geographic characteristics impose a series of challenges that must be considered when planning their electricity supply. Thus, in this paper, an optimization model for the long-term planning of RC Microgrids (MGs) including Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) is proposed, with the objective of reducing costs and emissions. The proposed model considers lithium-ion batteries and hydrogen systems as part of ESSs technologies. The model is used to investigate the feasibility of integrating RESs and ESSs in an MG in Sanikiluaq, an RC in the Nunavut territory in Northern Canada. The results…
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Taxonomy
TopicsHybrid Renewable Energy Systems · Microgrid Control and Optimization · Energy and Environment Impacts
