Optimal Off-Grid Hybrid Renewable Energy System for Residential Applications Using Particle Swarm Optimization

摘要

We propose a hybrid off-grid energy system that comprises photovoltaic panels, wind turbines, diesel generators, and a battery bank. The proposed system could be adjusted to reflect real world conditions in order to optimize the cost of energy. Using Particle Swarm optimization searching methods, an optimal combination that follows load demand data of a typical house is found. From this configuration, the optimal mix that minimizes the levelized cost of energy (LCE) is formed and is found to be comparable to the cost of grid electricity.