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Optimal Design of Microgrid Using Chimp Optimization Algorithm
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DOI：10.1109/ICAACCA51523.2021.9465336.png)
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Abstract
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The hybrid power systems become necessary, mainly in non-electrified areas as in Africa, where millions of peoples have not access to electricity. This study solves the design problem of the microgrid systems, containing PV panels, wind turbines and battery storage system. This paper focuses to apply a recent algorithm named Chimp Optimization Algorithm (ChOA) and comparing its performance with two algorithms called IWO and GWO. The microgrid system design is based on optimizing of net present cost function, respecting some constraints. The results showed that the recent ChOA algorithm is better than the IWO and GWO, however, the suggested system is very suitable in the Dakhla location, where the metrological conditions are suitable.
Keywords:
Chimp Optimization Algorithm
GWO
Hybrid Power Systems
IWO
Microgrid
Net Present Cost
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