Optimization of Power Consumption in Smart Grids Using Coati Optimization Algorithm

The optimization of power consumption in smart grids is the subject of this article, which aims to maximize customer savings while keeping the load curve near 90% of system capacity. The study employs a mathematical model integrating Coati Optimization, a bio-inspired algorithm mimicking the natural behaviors of coatis, to determine optimal load shifting strategies. The methodology is applied to residential, commercial, and industrial areas, considering diverse load characteristics and varying energy prices. The paper presents the problem formulation, methodology, and data description, followed by the analysis of results and discussions on energy consumption disparities across different sectors. The findings underscore the significance of tailored load management strategies for industrial processes and highlight the potential for optimizing energy efficiency through Coati Optimization.