Dynamic Economic Load Dispatch Problems in Microgrid with Renewable Energy Sources Using Tunicate Swarm Algorithm
Abstract
Dynamic Economic Load Dispatch (DELD) is a significant problem in microgrids with renewable energy sources (RESs), where the aim is to minimize the overall cost of the system while ensuring that the power demands of the consumers are met. However, with the added complexity of RESs, conventional optimization techniques may not be able to provide optimal solutions. This is where bio-inspired algorithms come into play, which are optimization techniques inspired by natural phenomena such as biological, nature, and animal behavior. This document covers a new bio-inspired algorithm called “Tunicate Swarm Algorithm” used for solving DELD in microgrids with RESs and with considering the variable power output of renewable energy sources (wind and solar energy). The algorithm should also incorporate various constraints such as power balance and generation limits. Two cases of DELD with and without RES are treated. The results are compared to other recently developed bio-inspired algorithms for validation. We demonstrate the superiority of the proposed approach over various other optimization techniques used.
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