Computing Technologies for Renewable Energy Sources Integration

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<div&gt;The present chapter is focused on various computing techniques used for the&lt;/div&gt;<div&gt;performance evaluation of the integrated renewable energy system. Due to the&lt;/div&gt;<div&gt;stochastic nature of major renewable energy sources, a single renewable energy sourcebased&lt;/div&gt;<div&gt;system cannot provide an uninterrupted supply of electricity; hence, to attain&lt;/div&gt;<div&gt;high energy security, it is necessary to oversize the rating of the generating system,</div&gt;<div&gt;which in turn increases the overall cost of the system. On the other hand, the integrated&lt;/div&gt;<div&gt;renewable energy system, which employs the potential of two or more renewable&lt;/div&gt;<div&gt;energy sources to satisfy various energy demands, offers a better option than a single&lt;/div&gt;<div&gt;renewable energy system in terms of efficiency, reliability, and cost. However, multisource-</div&gt;<div&gt;based power generation is often more complex due to the involvement of a large&lt;/div&gt;<div&gt;number of design parameters and variables. Hence, efficient computing techniques&lt;/div&gt;<div&gt;must be used to evaluate the performance of the integrated renewable energy system. In&lt;/div&gt;<div&gt;this chapter, the layout and configurations of the integrated renewable energy system&lt;/div&gt;<div&gt;are introduced, and various computing technologies used to evaluate the performance&lt;/div&gt;<div&gt;and sizing of the integrated renewable energy system are presented and discussed in&lt;/div&gt;<div&gt;details. The proposed study will be beneficial to the researchers working on renewable&lt;/div&gt;<div&gt;source-based stand-alone power generation for isolated areas.</div&gt;