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Hybrid Optimization Methods Application on Sizing and Solving the Economic Dispatch Problems of Hybrid Renewable Power Systems

Hybrid Optimization Methods Application on Sizing and Solving the Economic Dispatch Problems of Hybrid Renewable Power Systems
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Author(s): Muhammet Tahir Guneser (Karabuk University, Turkey), Abdurazaq Elbaz (Karabuk University, Turkey) and Cihat Seker (Karabuk University, Turkey)
Copyright: 2022
Pages: 30
Source title: Applications of Nature-Inspired Computing in Renewable Energy Systems
Source Author(s)/Editor(s): Mohamed Arezki Mellal (M'Hamed Bougara University, Algeria)
DOI: 10.4018/978-1-7998-8561-0.ch008

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Abstract

Renewable energy systems are spread all over the world due to the security problems encountered in accessing fossil fuels, the desire to reduce the environmental damage and to respond to the rapid increase in energy demand. However, the problems are experienced in renewable energy technologies in sustainable supply and reduction of production costs. Obtaining the optimum power distribution planning between photovoltaic, wind, biomass, and other systems depending on the relevant parameters and optimizing the distribution of energy supply-demand planning among the same sources can be applied as an effective solution by using several single optimization methods or new updated hybrid versions of them. In this chapter, common methods were evaluated and an application of crow and particle swarm as a hybrid method was examined in a certain region of Libya for a PV/wind hybrid renewable power system.

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