Soft Computing based optimization employed for efficient Renewable Energy resource deployment

Abstract

Renewable Energy Resources (RER) as well as hybrid combos are thought to be highly efficient solutions for world's energy crises. RER penetration is causing fundamental changes in the way distribution networks are accessed and explored. This example of an upcoming modified power system is changing the setting in which it was previously organized and managed. Successful RER planning necessitates a careful revaluation of both design and allocation. The most recent trends and innovations in renewable energy resources and their combinations encourage some utilities to change their business models in order to compete with the growing use of RER. Though various innovations are manageable, they may enable the successful deployment of RER in the system. None of these reports introduced or presented their effective investigation, changes discovered to be effective in RER planning and implementation. As a result, the goal of this work is to investigate a set of effective methodologies and procedures for RER blending, allocation, and extraction of potential benefits. Following a review of all published methodologies, the new soft computing-based optimization technique will be investigated in order to achieve successful RER deployment in the grid with aided advantages.

URN:NBN:sciencein.jist.2023.v11.579