Design and Optimal Sizing of a Photovoltaic/Wind/Diesel/Battery Nanogrid Using Different Multi-Objective Enhanced Algorithms: Application to a Residential Off-Grid Site in Algeria
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Overview
Randomized trial demonstrates optimal sizing of a hybrid nanogrid in an off-grid area, indicating improved energy solutions.
Key Points
The study aims to optimize the design of a hybrid nanogrid system integrating various energy sources for a residential load.
Utilized four multi-objective optimization algorithms (NSGA-II, MOPSO, MOSSA, MODE) for system sizing.
Considered performance criteria: cost of energy, loss of power supply probability, renewable energy penetration, and diesel generator usage.
Implemented an energy management strategy to coordinate power flow and achieve system performance.
MODE algorithm yielded a cost of energy of 0.167 USD/kWh and a loss of power supply probability of 6.372%.
Lowest carbon dioxide emissions measured at 205.1 kg/year among all algorithms assessed.
Feasible design solutions enable decision-makers to choose suitable designs based on technical and economic factors.