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Optimal power source sizes can be chosen by specific criteria of hydrogen consumption and powertrain cost.
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In this issue, one can state the following corollary: Corollary 1: The optimal power's source distribution that ensures the smallest MSRL is obtained only for the equi-powered sources case.
Based on these expressions, the optimal power of sources, the power splitting ratio and the time switching factor are obtained via the numerical search method.
As shown before, the complexity to get the optimal power in the source side is N2 for every sub-carrier.
In addition, the optimal power allocation between the source and the relay was proposed to minimize the asymptotic outage probability.
Once the "optimal" power distribution for the source node in DF mode has been computed, it can be used to compute the capacity of the S D link, namely CS,Din DF mode.
The master FuHSM controller was utilized to grantee the optimal power coordination of the multiple power sources and the slave DPPC controller was responsible for further compensating the load power demand to enhance the dynamic performance and bus voltage stability.
That is because the optimal power allocation scheme of the source node and the relay node changed.
In this section, we investigate the optimal power allocation (OPA) at both source terminals and the relay in order to minimize the average SEP while providing an efficient energy distribution among the participating nodes in the system.
One can address the problem of finding the optimal distribution of power sources making the SRL the smallest as possible (s.t. the constraint of constant total source power).
This paper develops a dynamically efficient energy management system for the purpose of achieving an optimal power allocation between the energy sources while adhering to component requirements and maintaining the required operational performance using a weighted improved dynamic programming technique.
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