Comparative Analysis of an Optimal Perturb and Observe Control Scheme for Efficient Energy Management of Hybrid Power System using Aquila Optimization Algorithm

D. D. Okafor, P. U. Okorie, A. B. Kunya

Abstract


Renewable energy systems are now seen as a better alternative means of generating energy than the fossil fuel generators due to their availability and minimal or near zero negative impact on the environment. However, the continuous increase in the demand of electrical energy, has makes it difficult for these sources to meet the demand especially during unfavorable weather conditions. As such a suitable solution to this problem is the usage of hybrid power systems. However, there is need to effectively control this hybrid systems to ensure that energy from this system are readily available, affordable and reliable. This work therefore seeks to develop a hybrid power system comprising of solar PV, wind system, diesel generator and battery energy system to solve the problem of inability to provide electrical energy in special weather condition. Furthermore, the solar PV MPPT strategy will be modified to ensure that the hybrid system obtain significant energy from the sun. Excess energy will be stored while power shortages will be prevented by using diesel generator at critical times. The effectiveness of the perturb and observe MPPT strategy in the solar PV will be improved by using Aquila optimizer to ensure that maximum energy is tracked from the solar PV system. Lastly, Aquila optimization algorithm will be used to solve the optimization problem of the hybrid system using levelized cost of energy and loss of power supply probability as performance metrics.


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