Energy Management and Optimization of PV/Diesel/Battery Hybrid Power Systems for Remote Consumers
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Abstract
This paper evaluates the efficiency of a photovoltaic-diesel-battery hybrid off-grid system over one year using a particle swarm optimization technique (PSO) to develop an optimal energy dispatch model. The model achieves cost savings and improved system efficiency and can accurately estimate consumer fuel costs. The study shows that the hybrid system is more cost-effective and efficient than a diesel-only system, highlighting the importance of considering daily and seasonal variations in demand. The optimization model developed can be further developed to optimize various components of the hybrid system. Overall, the study emphasizes the importance of considering variations in demand and suggests that the use of an optimization model can lead to more efficient energy delivery systems, particularly in the context of PV-diesel-battery hybrid systems.
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