Optimization of hybrid renewable energy systems for standalone and grid connected scenario

Abstract

The modern lifestyle of humans powered by fossil fuel consumption has grim footprints newlineon the ecosystem of planet earth. The increasing greenhouse gas (GHG) emissions have a newlinelasting and consequential adverse impact on the environment and habitability. Renewable newlineenergy hasthe potential to shift away from the dependence of humanity on finite, polluting, newlineand unevenly distributed fossil fuels. The cost of the energy from solar and wind energy newlinehas already become less than conventional energy in most parts of the world aided by newlinetechnological innovation and manufacturing of scales. However, the issue in the wider newlineassimilation of solar and wind energy is that they are non-dispatchable resources. The newlinecombination of solar and wind energy with other renewable energy sources like bio and newlinehydro and or storage system has the potential to mitigate the issue of temporal mismatch newlinebetween demand load and power production. This type of integrated power system is newlineknown as Hybrid Renewable Energy System (HRES). This improves the reliability of the newlinesystem and at the same time decreases the cost of energy acquired. newlineThe sizing of HRES is a challenging task as the system needs to cater to ever-changing newlineload demand. In addition to that, solar radiation and wind speed are continuously varying. newlineThis is further complicated by the fact that power production from renewable conversion newlinedevices is not necessarily linearly proportional to the input parameters. These aspects in newlineaddition to the need to look into multiple assessment criteria make HRES sizing problem newlinetask worthy to deal with. A comprehensive overview of the literature of optimization newlinetechniques used for HRES is carried out. It is observed that the classical techniques were newlinebeing applied to the HRES sizing in the early days. Nowadays, researchers are increasingly newlinelooking for heuristic techniques using evolutionary algorithms. It is important to optimize newlinethe HRES components for different assessment parameters like economic, reliability, newlineenvironmental and social criteria. newlineThree different